[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-475273880d3c21f7-scaling-ai-to-long-horizon-reasoning-summary":3,"summaries-facets-categories":124,"summary-related-475273880d3c21f7-scaling-ai-to-long-horizon-reasoning-summary":6542},{"id":4,"title":5,"ai":6,"body":13,"categories":78,"created_at":80,"date_modified":80,"description":72,"extension":81,"faq":80,"featured":82,"kicker_label":80,"meta":83,"navigation":103,"path":104,"published_at":105,"question":80,"scraped_at":106,"seo":107,"sitemap":108,"source_id":109,"source_name":110,"source_type":111,"source_url":112,"stem":113,"tags":114,"thumbnail_url":119,"tldr":120,"tweet":121,"unknown_tags":122,"__hash__":123},"summaries\u002Fsummaries\u002F475273880d3c21f7-scaling-ai-to-long-horizon-reasoning-summary.md","Scaling AI to Long-Horizon Reasoning",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",7668,738,3475,0.003024,{"type":14,"value":15,"toc":71},"minimark",[16,21,25,28,32,35,38,61,65,68],[17,18,20],"h2",{"id":19},"the-evolution-of-reasoning-and-rl","The Evolution of Reasoning and RL",[22,23,24],"p",{},"Ross Taylor argues that the transition from base models to useful AI products was driven by Reinforcement Learning from Human Feedback (RLHF). Drawing on his experience with Galactica, he notes that while Galactica outperformed larger models like Chinchilla and GPT-3.5 on scientific benchmarks, it lacked the post-training polish that made ChatGPT a product. The core lesson is that a strong base model is a prerequisite, but RL is the mechanism that unlocks reasoning.",[22,26,27],{},"He highlights that \"thinking tokens\"—internalizing the reasoning process within special tags—was a key, early insight for enabling models to perform inference-time computation. The recent success of models like OpenAI's o1 is attributed to the \"bitter lesson\": the combination of superior base models, massive RL compute, and larger context windows creates emergent reasoning capabilities.",[17,29,31],{"id":30},"the-long-horizon-mindset","The Long-Horizon Mindset",[22,33,34],{},"Chengxi Taylor defines long-horizon tasks not as a benchmark, but as a mindset. Solving complex, multi-year problems (like scientific breakthroughs) requires AI to operate over sequences far longer than current context windows allow.",[22,36,37],{},"To manage these horizons, the team proposes:",[39,40,41,49,55],"ul",{},[42,43,44,48],"li",{},[45,46,47],"strong",{},"Compaction:"," Summarizing long trajectories to fit within context limits, which can be optimized via RL.",[42,50,51,54],{},[45,52,53],{},"Value Models (Critics):"," These are essential for reducing gradient variance and solving credit assignment problems in sparse-reward environments. By bootstrapping—generating expectations before an episode ends—models can learn without waiting for a final reward.",[42,56,57,60],{},[45,58,59],{},"Infrastructure:"," Using tools like scratch pads, self-search, and file systems allows agents to manage state externally, though this introduces the risk of the model \"cheating\" by retrieving answers rather than reasoning.",[17,62,64],{"id":63},"trade-offs-in-compute-and-simulation","Trade-offs in Compute and Simulation",[22,66,67],{},"Scaling to long horizons creates a conflict between GPU utilization and off-policy staleness. In traditional pipeline RL, waiting for long sequences to finish leads to GPU idle time. While off-policy training (up to ~8 steps) is generally acceptable, longer horizons force a choice: either leave GPUs idle or accept the bias introduced by bootstrapping with a value model.",[22,69,70],{},"Furthermore, current benchmarks are criticized for being too focused on procedural, coding-heavy tasks. The authors argue that frontier models struggle with real-world complexity because current environments lack true open-endedness and multi-agent simulation. Their \"Kelly Bench\" experiment, where models failed to trade football matches profitably, demonstrated that models lack the ability to handle the uncertainty and competitive dynamics of real-world environments.",{"title":72,"searchDepth":73,"depth":73,"links":74},"",2,[75,76,77],{"id":19,"depth":73,"text":20},{"id":30,"depth":73,"text":31},{"id":63,"depth":73,"text":64},[79],"AI & LLMs",null,"md",false,{"content_references":84,"triage":98},[85,90,95],{"type":86,"title":87,"url":88,"context":89},"tool","openreward.ai","https:\u002F\u002Fopenreward.ai","recommended",{"type":91,"title":92,"author":93,"context":94},"other","Galactica","Meta AI","mentioned",{"type":91,"title":96,"author":97,"context":94},"Kelly Bench","General Reasoning",{"relevance":99,"novelty":99,"quality":99,"actionability":100,"composite":101,"reasoning":102},4,3,3.8,"Category: AI & LLMs. The article discusses advanced concepts in AI reasoning and reinforcement learning, addressing the audience's pain point of understanding how to implement long-horizon reasoning in AI products. It provides insights into techniques like value models and compaction, which are actionable but may require further detail for immediate application.",true,"\u002Fsummaries\u002F475273880d3c21f7-scaling-ai-to-long-horizon-reasoning-summary","2026-07-31 21:30:06","2026-08-01 03:12:26",{"title":5,"description":72},{"loc":104},"475273880d3c21f7","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=2bvtay8wGYI","summaries\u002F475273880d3c21f7-scaling-ai-to-long-horizon-reasoning-summary",[115,116,117,118],"agents","ai-llms","reinforcement-learning","reasoning","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002F2bvtay8wGYI\u002Fhqdefault.jpg","Scaling AI to long-horizon tasks requires moving beyond context windows to a mindset of patience, utilizing value models for credit assignment, and building better, open-ended simulation environments.","This talk is a high-level technical retrospective on reinforcement learning for language models, tracing the evolution from early experiments like [Galactica](https:\u002F\u002Frossjtaylor.com) to modern long-horizon agent design. The speakers argue that scaling to long-duration tasks requires shifting focus from simple context windows to better simulation environments and deliberate token allocation.",[116,117,118],"lGDoaBINvkB3alckeeYjaON972fErLa-IJBfBnaR7bs",[125,127,130,132,135,137,140,143,145,147,149,152,154,156,158,160,163,165,167,169,171,174,177,179,181,183,185,187,189,191,193,195,197,199,201,203,205,207,209,211,213,215,217,220,222,224,226,228,230,232,234,236,238,240,242,244,246,249,251,253,255,257,259,261,263,265,267,269,271,273,275,277,279,281,283,286,288,290,292,294,296,298,300,302,304,306,308,310,312,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,378,380,382,384,386,388,390,392,394,396,398,401,403,405,407,409,411,413,415,417,419,421,423,425,427,429,431,434,436,438,440,442,444,446,448,450,452,454,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,512,514,516,519,521,523,525,527,529,531,533,535,537,539,541,543,545,548,550,552,554,556,558,560,562,564,566,568,570,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,848,850,852,854,856,859,861,863,865,867,869,871,873,875,877,879,881,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540],{"categories":126},[79],{"categories":128},[129],"Developer Productivity",{"categories":131},[79],{"categories":133},[134],"Business & SaaS",{"categories":136},[79],{"categories":138},[139],"AI Automation",{"categories":141},[142],"Product Strategy",{"categories":144},[79],{"categories":146},[129],{"categories":148},[139],{"categories":150},[151],"Software Engineering",{"categories":153},[79],{"categories":155},[134],{"categories":157},[],{"categories":159},[79],{"categories":161},[162],"Inference & Serving",{"categories":164},[79],{"categories":166},[79],{"categories":168},[139],{"categories":170},[],{"categories":172},[173],"AI News & Trends",{"categories":175},[176],"Data Science & Visualization",{"categories":178},[139],{"categories":180},[79],{"categories":182},[79],{"categories":184},[134],{"categories":186},[129],{"categories":188},[79],{"categories":190},[139],{"categories":192},[173],{"categories":194},[139],{"categories":196},[139],{"categories":198},[79],{"categories":200},[139],{"categories":202},[79],{"categories":204},[79],{"categories":206},[79],{"categories":208},[173],{"categories":210},[79],{"categories":212},[79],{"categories":214},[79],{"categories":216},[],{"categories":218},[219],"Design & Frontend",{"categories":221},[176],{"categories":223},[173],{"categories":225},[79],{"categories":227},[79],{"categories":229},[79],{"categories":231},[],{"categories":233},[79],{"categories":235},[79],{"categories":237},[139],{"categories":239},[151],{"categories":241},[79],{"categories":243},[139],{"categories":245},[79],{"categories":247},[248],"Marketing & Growth",{"categories":250},[219],{"categories":252},[79],{"categories":254},[139],{"categories":256},[79],{"categories":258},[151],{"categories":260},[],{"categories":262},[],{"categories":264},[219],{"categories":266},[79],{"categories":268},[139],{"categories":270},[129],{"categories":272},[151],{"categories":274},[139],{"categories":276},[219],{"categories":278},[142],{"categories":280},[79],{"categories":282},[151],{"categories":284},[285],"DevOps & Cloud",{"categories":287},[139],{"categories":289},[142],{"categories":291},[173],{"categories":293},[79],{"categories":295},[],{"categories":297},[79],{"categories":299},[79],{"categories":301},[],{"categories":303},[139],{"categories":305},[151],{"categories":307},[],{"categories":309},[151],{"categories":311},[79],{"categories":313},[314],"Governance & Standards",{"categories":316},[134],{"categories":318},[],{"categories":320},[],{"categories":322},[79],{"categories":324},[79],{"categories":326},[139],{"categories":328},[79],{"categories":330},[79],{"categories":332},[139],{"categories":334},[79],{"categories":336},[79],{"categories":338},[79],{"categories":340},[],{"categories":342},[151],{"categories":344},[],{"categories":346},[],{"categories":348},[79],{"categories":350},[151],{"categories":352},[],{"categories":354},[151],{"categories":356},[79],{"categories":358},[79],{"categories":360},[248],{"categories":362},[79],{"categories":364},[79],{"categories":366},[219],{"categories":368},[219],{"categories":370},[79],{"categories":372},[151],{"categories":374},[139],{"categories":376},[377],"GovTech & Public-Sector Adoption",{"categories":379},[151],{"categories":381},[79],{"categories":383},[79],{"categories":385},[79],{"categories":387},[139],{"categories":389},[139],{"categories":391},[176],{"categories":393},[79],{"categories":395},[173],{"categories":397},[139],{"categories":399},[400],"Legal AI Tools",{"categories":402},[79],{"categories":404},[139],{"categories":406},[79],{"categories":408},[248],{"categories":410},[139],{"categories":412},[142],{"categories":414},[79],{"categories":416},[151],{"categories":418},[377],{"categories":420},[],{"categories":422},[139],{"categories":424},[],{"categories":426},[134],{"categories":428},[139],{"categories":430},[139],{"categories":432},[433],"RAG & Retrieval",{"categories":435},[134],{"categories":437},[79],{"categories":439},[151],{"categories":441},[151],{"categories":443},[285],{"categories":445},[219],{"categories":447},[139],{"categories":449},[79],{"categories":451},[79],{"categories":453},[],{"categories":455},[456],"Agents & Orchestration",{"categories":458},[151],{"categories":460},[79],{"categories":462},[],{"categories":464},[139],{"categories":466},[134],{"categories":468},[],{"categories":470},[79],{"categories":472},[],{"categories":474},[79],{"categories":476},[129],{"categories":478},[151],{"categories":480},[134],{"categories":482},[79],{"categories":484},[139],{"categories":486},[79],{"categories":488},[173],{"categories":490},[79],{"categories":492},[],{"categories":494},[79],{"categories":496},[],{"categories":498},[151],{"categories":500},[79],{"categories":502},[176],{"categories":504},[],{"categories":506},[79],{"categories":508},[219],{"categories":510},[511],"Models & Frontier Labs",{"categories":513},[],{"categories":515},[219],{"categories":517},[518],"Regulation & Governance of AI",{"categories":520},[139],{"categories":522},[],{"categories":524},[79],{"categories":526},[79],{"categories":528},[139],{"categories":530},[173],{"categories":532},[134],{"categories":534},[79],{"categories":536},[],{"categories":538},[151],{"categories":540},[139],{"categories":542},[79],{"categories":544},[142],{"categories":546},[547],"AI Policy & Regulation",{"categories":549},[],{"categories":551},[79],{"categories":553},[139],{"categories":555},[142],{"categories":557},[139],{"categories":559},[79],{"categories":561},[79],{"categories":563},[79],{"categories":565},[139],{"categories":567},[],{"categories":569},[176],{"categories":571},[572],"Evals & Reliability",{"categories":574},[79],{"categories":576},[79],{"categories":578},[],{"categories":580},[129],{"categories":582},[377],{"categories":584},[547],{"categories":586},[79],{"categories":588},[134],{"categories":590},[79],{"categories":592},[139],{"categories":594},[79],{"categories":596},[139],{"categories":598},[456],{"categories":600},[79],{"categories":602},[151],{"categories":604},[79],{"categories":606},[],{"categories":608},[],{"categories":610},[79],{"categories":612},[377],{"categories":614},[79],{"categories":616},[79],{"categories":618},[79],{"categories":620},[],{"categories":622},[219],{"categories":624},[],{"categories":626},[79],{"categories":628},[],{"categories":630},[139],{"categories":632},[79],{"categories":634},[219],{"categories":636},[],{"categories":638},[79],{"categories":640},[79],{"categories":642},[176],{"categories":644},[139],{"categories":646},[79],{"categories":648},[134],{"categories":650},[139],{"categories":652},[79],{"categories":654},[79],{"categories":656},[151],{"categories":658},[219],{"categories":660},[79],{"categories":662},[139],{"categories":664},[],{"categories":666},[151],{"categories":668},[139],{"categories":670},[176],{"categories":672},[],{"categories":674},[79],{"categories":676},[173],{"categories":678},[79],{"categories":680},[],{"categories":682},[79],{"categories":684},[79],{"categories":686},[79],{"categories":688},[134,248],{"categories":690},[],{"categories":692},[79],{"categories":694},[79],{"categories":696},[139],{"categories":698},[79],{"categories":700},[],{"categories":702},[],{"categories":704},[79],{"categories":706},[219],{"categories":708},[79],{"categories":710},[],{"categories":712},[79],{"categories":714},[285],{"categories":716},[],{"categories":718},[139],{"categories":720},[173],{"categories":722},[79],{"categories":724},[79],{"categories":726},[219],{"categories":728},[],{"categories":730},[173],{"categories":732},[79],{"categories":734},[162],{"categories":736},[79],{"categories":738},[79],{"categories":740},[139],{"categories":742},[173],{"categories":744},[511],{"categories":746},[79],{"categories":748},[248],{"categories":750},[],{"categories":752},[139],{"categories":754},[134],{"categories":756},[151],{"categories":758},[79],{"categories":760},[139],{"categories":762},[],{"categories":764},[79,285],{"categories":766},[79],{"categories":768},[79],{"categories":770},[79],{"categories":772},[139],{"categories":774},[79,151],{"categories":776},[176],{"categories":778},[79],{"categories":780},[79],{"categories":782},[151],{"categories":784},[79],{"categories":786},[139],{"categories":788},[547],{"categories":790},[248],{"categories":792},[79],{"categories":794},[139],{"categories":796},[79],{"categories":798},[79],{"categories":800},[139],{"categories":802},[],{"categories":804},[139],{"categories":806},[79],{"categories":808},[79],{"categories":810},[139],{"categories":812},[79],{"categories":814},[79,134],{"categories":816},[79],{"categories":818},[134],{"categories":820},[],{"categories":822},[219],{"categories":824},[219],{"categories":826},[79],{"categories":828},[],{"categories":830},[],{"categories":832},[79],{"categories":834},[173],{"categories":836},[],{"categories":838},[129],{"categories":840},[79],{"categories":842},[151],{"categories":844},[79],{"categories":846},[847],"Generative UI & Design-to-Code",{"categories":849},[79],{"categories":851},[79],{"categories":853},[219],{"categories":855},[79],{"categories":857},[858],"Algorithmic Accountability",{"categories":860},[139],{"categories":862},[151],{"categories":864},[173],{"categories":866},[219],{"categories":868},[79],{"categories":870},[],{"categories":872},[142],{"categories":874},[79],{"categories":876},[79],{"categories":878},[79],{"categories":880},[139],{"categories":882},[883],"MLOps & Infrastructure",{"categories":885},[79],{"categories":887},[79],{"categories":889},[79],{"categories":891},[79],{"categories":893},[79],{"categories":895},[173],{"categories":897},[142],{"categories":899},[129],{"categories":901},[79],{"categories":903},[139],{"categories":905},[285],{"categories":907},[79],{"categories":909},[134],{"categories":911},[79],{"categories":913},[219],{"categories":915},[79],{"categories":917},[79],{"categories":919},[139],{"categories":921},[],{"categories":923},[],{"categories":925},[79],{"categories":927},[162],{"categories":929},[219],{"categories":931},[173],{"categories":933},[176],{"categories":935},[],{"categories":937},[79],{"categories":939},[79],{"categories":941},[134],{"categories":943},[139],{"categories":945},[79],{"categories":947},[79],{"categories":949},[79],{"categories":951},[79],{"categories":953},[173],{"categories":955},[162],{"categories":957},[79],{"categories":959},[219],{"categories":961},[79],{"categories":963},[],{"categories":965},[139],{"categories":967},[151],{"categories":969},[],{"categories":971},[79],{"categories":973},[79],{"categories":975},[139],{"categories":977},[151],{"categories":979},[79],{"categories":981},[176],{"categories":983},[],{"categories":985},[79],{"categories":987},[],{"categories":989},[79],{"categories":991},[],{"categories":993},[142],{"categories":995},[134],{"categories":997},[139],{"categories":999},[139],{"categories":1001},[],{"categories":1003},[129],{"categories":1005},[79],{"categories":1007},[79],{"categories":1009},[134],{"categories":1011},[173],{"categories":1013},[129],{"categories":1015},[],{"categories":1017},[79],{"categories":1019},[],{"categories":1021},[],{"categories":1023},[173],{"categories":1025},[173],{"categories":1027},[],{"categories":1029},[456],{"categories":1031},[79],{"categories":1033},[219],{"categories":1035},[151],{"categories":1037},[],{"categories":1039},[400],{"categories":1041},[139],{"categories":1043},[134],{"categories":1045},[],{"categories":1047},[],{"categories":1049},[129],{"categories":1051},[176],{"categories":1053},[],{"categories":1055},[248],{"categories":1057},[139],{"categories":1059},[134],{"categories":1061},[139],{"categories":1063},[134],{"categories":1065},[79],{"categories":1067},[151],{"categories":1069},[],{"categories":1071},[162],{"categories":1073},[142],{"categories":1075},[79],{"categories":1077},[219],{"categories":1079},[151],{"categories":1081},[134],{"categories":1083},[79],{"categories":1085},[139],{"categories":1087},[134],{"categories":1089},[79],{"categories":1091},[79],{"categories":1093},[79],{"categories":1095},[79],{"categories":1097},[79],{"categories":1099},[],{"categories":1101},[],{"categories":1103},[151],{"categories":1105},[176],{"categories":1107},[142],{"categories":1109},[79],{"categories":1111},[139],{"categories":1113},[151],{"categories":1115},[79],{"categories":1117},[],{"categories":1119},[173],{"categories":1121},[142],{"categories":1123},[151],{"categories":1125},[79],{"categories":1127},[572],{"categories":1129},[285],{"categories":1131},[],{"categories":1133},[139],{"categories":1135},[79],{"categories":1137},[],{"categories":1139},[129],{"categories":1141},[],{"categories":1143},[79],{"categories":1145},[79],{"categories":1147},[79],{"categories":1149},[219],{"categories":1151},[248],{"categories":1153},[79],{"categories":1155},[151],{"categories":1157},[79],{"categories":1159},[139],{"categories":1161},[],{"categories":1163},[151],{"categories":1165},[79],{"categories":1167},[129],{"categories":1169},[],{"categories":1171},[134],{"categories":1173},[79],{"categories":1175},[173],{"categories":1177},[79,285],{"categories":1179},[79],{"categories":1181},[1182],"Design Systems for AI",{"categories":1184},[79],{"categories":1186},[79],{"categories":1188},[173],{"categories":1190},[79],{"categories":1192},[79],{"categories":1194},[79],{"categories":1196},[134],{"categories":1198},[79],{"categories":1200},[79],{"categories":1202},[79],{"categories":1204},[],{"categories":1206},[79],{"categories":1208},[79],{"categories":1210},[134],{"categories":1212},[79],{"categories":1214},[],{"categories":1216},[139],{"categories":1218},[151],{"categories":1220},[173],{"categories":1222},[151],{"categories":1224},[79],{"categories":1226},[219],{"categories":1228},[173],{"categories":1230},[176],{"categories":1232},[79],{"categories":1234},[79],{"categories":1236},[139],{"categories":1238},[129],{"categories":1240},[547],{"categories":1242},[79],{"categories":1244},[139],{"categories":1246},[79],{"categories":1248},[151],{"categories":1250},[151],{"categories":1252},[],{"categories":1254},[],{"categories":1256},[139],{"categories":1258},[142],{"categories":1260},[],{"categories":1262},[134],{"categories":1264},[79],{"categories":1266},[],{"categories":1268},[219],{"categories":1270},[139],{"categories":1272},[151],{"categories":1274},[219],{"categories":1276},[79],{"categories":1278},[79],{"categories":1280},[219],{"categories":1282},[],{"categories":1284},[],{"categories":1286},[173],{"categories":1288},[139],{"categories":1290},[139],{"categories":1292},[79],{"categories":1294},[79],{"categories":1296},[79],{"categories":1298},[79],{"categories":1300},[134],{"categories":1302},[79],{"categories":1304},[79],{"categories":1306},[],{"categories":1308},[151],{"categories":1310},[151],{"categories":1312},[79],{"categories":1314},[151],{"categories":1316},[134],{"categories":1318},[],{"categories":1320},[79],{"categories":1322},[79],{"categories":1324},[79],{"categories":1326},[79],{"categories":1328},[79],{"categories":1330},[139],{"categories":1332},[129],{"categories":1334},[134],{"categories":1336},[79],{"categories":1338},[139],{"categories":1340},[173],{"categories":1342},[139],{"categories":1344},[162],{"categories":1346},[248],{"categories":1348},[79],{"categories":1350},[139],{"categories":1352},[79],{"categories":1354},[79],{"categories":1356},[],{"categories":1358},[219],{"categories":1360},[],{"categories":1362},[79],{"categories":1364},[79],{"categories":1366},[],{"categories":1368},[151],{"categories":1370},[134],{"categories":1372},[1373],"Visual & Generative Media",{"categories":1375},[139],{"categories":1377},[],{"categories":1379},[79],{"categories":1381},[79],{"categories":1383},[151],{"categories":1385},[285],{"categories":1387},[176],{"categories":1389},[547],{"categories":1391},[151],{"categories":1393},[248],{"categories":1395},[79],{"categories":1397},[219],{"categories":1399},[79],{"categories":1401},[79],{"categories":1403},[151],{"categories":1405},[139],{"categories":1407},[79],{"categories":1409},[],{"categories":1411},[],{"categories":1413},[139],{"categories":1415},[151],{"categories":1417},[129],{"categories":1419},[139],{"categories":1421},[511],{"categories":1423},[79],{"categories":1425},[142],{"categories":1427},[79],{"categories":1429},[134],{"categories":1431},[],{"categories":1433},[79],{"categories":1435},[142],{"categories":1437},[79],{"categories":1439},[79],{"categories":1441},[79],{"categories":1443},[142],{"categories":1445},[79],{"categories":1447},[79],{"categories":1449},[248],{"categories":1451},[79],{"categories":1453},[456],{"categories":1455},[79],{"categories":1457},[139],{"categories":1459},[79],{"categories":1461},[79],{"categories":1463},[79],{"categories":1465},[79],{"categories":1467},[219],{"categories":1469},[139],{"categories":1471},[],{"categories":1473},[139],{"categories":1475},[],{"categories":1477},[285],{"categories":1479},[151],{"categories":1481},[],{"categories":1483},[511],{"categories":1485},[79],{"categories":1487},[139],{"categories":1489},[79],{"categories":1491},[219,79],{"categories":1493},[129],{"categories":1495},[79],{"categories":1497},[219],{"categories":1499},[],{"categories":1501},[79],{"categories":1503},[129],{"categories":1505},[1506],"Medical Imaging & Radiology",{"categories":1508},[79],{"categories":1510},[219],{"categories":1512},[139],{"categories":1514},[151],{"categories":1516},[],{"categories":1518},[79],{"categories":1520},[79],{"categories":1522},[79],{"categories":1524},[],{"categories":1526},[],{"categories":1528},[79],{"categories":1530},[456],{"categories":1532},[79],{"categories":1534},[129],{"categories":1536},[79],{"categories":1538},[79],{"categories":1540},[],{"categories":1542},[139],{"categories":1544},[79],{"categories":1546},[142],{"categories":1548},[151],{"categories":1550},[79],{"categories":1552},[456],{"categories":1554},[79],{"categories":1556},[139],{"categories":1558},[79],{"categories":1560},[79],{"categories":1562},[79],{"categories":1564},[219],{"categories":1566},[139],{"categories":1568},[285],{"categories":1570},[219],{"categories":1572},[134],{"categories":1574},[139],{"categories":1576},[173],{"categories":1578},[79],{"categories":1580},[79],{"categories":1582},[142],{"categories":1584},[79],{"categories":1586},[79],{"categories":1588},[79],{"categories":1590},[139],{"categories":1592},[151],{"categories":1594},[151],{"categories":1596},[79],{"categories":1598},[142],{"categories":1600},[],{"categories":1602},[173],{"categories":1604},[],{"categories":1606},[142],{"categories":1608},[139],{"categories":1610},[79],{"categories":1612},[139],{"categories":1614},[1182],{"categories":1616},[1182],{"categories":1618},[219],{"categories":1620},[79],{"categories":1622},[79],{"categories":1624},[139],{"categories":1626},[151],{"categories":1628},[219],{"categories":1630},[139],{"categories":1632},[173],{"categories":1634},[],{"categories":1636},[79],{"categories":1638},[],{"categories":1640},[79],{"categories":1642},[79],{"categories":1644},[79],{"categories":1646},[79],{"categories":1648},[139],{"categories":1650},[1651],"Contract Review & E-Discovery",{"categories":1653},[79],{"categories":1655},[219],{"categories":1657},[79],{"categories":1659},[129],{"categories":1661},[79],{"categories":1663},[173],{"categories":1665},[79],{"categories":1667},[79],{"categories":1669},[248],{"categories":1671},[151],{"categories":1673},[79],{"categories":1675},[79],{"categories":1677},[139],{"categories":1679},[139],{"categories":1681},[858],{"categories":1683},[79],{"categories":1685},[79],{"categories":1687},[139],{"categories":1689},[139],{"categories":1691},[79],{"categories":1693},[79],{"categories":1695},[139],{"categories":1697},[79],{"categories":1699},[79],{"categories":1701},[456],{"categories":1703},[433],{"categories":1705},[79],{"categories":1707},[139],{"categories":1709},[79],{"categories":1711},[1712],"Law-Firm Practice & Adoption",{"categories":1714},[79],{"categories":1716},[139],{"categories":1718},[219],{"categories":1720},[79],{"categories":1722},[79],{"categories":1724},[79],{"categories":1726},[],{"categories":1728},[],{"categories":1730},[151],{"categories":1732},[79],{"categories":1734},[],{"categories":1736},[139],{"categories":1738},[129],{"categories":1740},[285],{"categories":1742},[79],{"categories":1744},[],{"categories":1746},[129],{"categories":1748},[134],{"categories":1750},[79],{"categories":1752},[248],{"categories":1754},[],{"categories":1756},[134],{"categories":1758},[134],{"categories":1760},[],{"categories":1762},[79],{"categories":1764},[142],{"categories":1766},[79],{"categories":1768},[151],{"categories":1770},[],{"categories":1772},[],{"categories":1774},[],{"categories":1776},[],{"categories":1778},[79],{"categories":1780},[139],{"categories":1782},[285],{"categories":1784},[79],{"categories":1786},[129],{"categories":1788},[151],{"categories":1790},[79],{"categories":1792},[79],{"categories":1794},[151],{"categories":1796},[142],{"categories":1798},[79],{"categories":1800},[79],{"categories":1802},[79],{"categories":1804},[883],{"categories":1806},[79],{"categories":1808},[79],{"categories":1810},[248],{"categories":1812},[151],{"categories":1814},[134],{"categories":1816},[79],{"categories":1818},[79],{"categories":1820},[219],{"categories":1822},[79],{"categories":1824},[79],{"categories":1826},[79],{"categories":1828},[79],{"categories":1830},[139],{"categories":1832},[79,129],{"categories":1834},[456],{"categories":1836},[79],{"categories":1838},[79],{"categories":1840},[151],{"categories":1842},[151],{"categories":1844},[219],{"categories":1846},[139],{"categories":1848},[151],{"categories":1850},[79],{"categories":1852},[79],{"categories":1854},[],{"categories":1856},[],{"categories":1858},[79],{"categories":1860},[139],{"categories":1862},[],{"categories":1864},[79],{"categories":1866},[151],{"categories":1868},[176],{"categories":1870},[173],{"categories":1872},[219],{"categories":1874},[79],{"categories":1876},[79],{"categories":1878},[151],{"categories":1880},[],{"categories":1882},[139],{"categories":1884},[79],{"categories":1886},[79],{"categories":1888},[79],{"categories":1890},[79],{"categories":1892},[],{"categories":1894},[139],{"categories":1896},[79],{"categories":1898},[79],{"categories":1900},[],{"categories":1902},[139],{"categories":1904},[79],{"categories":1906},[79],{"categories":1908},[134],{"categories":1910},[79],{"categories":1912},[79],{"categories":1914},[],{"categories":1916},[129],{"categories":1918},[79],{"categories":1920},[79],{"categories":1922},[219],{"categories":1924},[151],{"categories":1926},[79],{"categories":1928},[129],{"categories":1930},[79],{"categories":1932},[151],{"categories":1934},[248],{"categories":1936},[139],{"categories":1938},[139],{"categories":1940},[79],{"categories":1942},[79],{"categories":1944},[79,219],{"categories":1946},[79],{"categories":1948},[139],{"categories":1950},[173],{"categories":1952},[79],{"categories":1954},[173],{"categories":1956},[139],{"categories":1958},[219],{"categories":1960},[79],{"categories":1962},[],{"categories":1964},[151],{"categories":1966},[285],{"categories":1968},[219],{"categories":1970},[151],{"categories":1972},[79],{"categories":1974},[142],{"categories":1976},[79],{"categories":1978},[79],{"categories":1980},[139],{"categories":1982},[],{"categories":1984},[],{"categories":1986},[79],{"categories":1988},[],{"categories":1990},[],{"categories":1992},[142],{"categories":1994},[151],{"categories":1996},[79],{"categories":1998},[139],{"categories":2000},[139],{"categories":2002},[134],{"categories":2004},[139],{"categories":2006},[285],{"categories":2008},[79],{"categories":2010},[79],{"categories":2012},[79],{"categories":2014},[162],{"categories":2016},[79],{"categories":2018},[79],{"categories":2020},[151],{"categories":2022},[139],{"categories":2024},[79],{"categories":2026},[79],{"categories":2028},[400],{"categories":2030},[858],{"categories":2032},[],{"categories":2034},[219],{"categories":2036},[1712],{"categories":2038},[151],{"categories":2040},[],{"categories":2042},[],{"categories":2044},[139],{"categories":2046},[],{"categories":2048},[],{"categories":2050},[79],{"categories":2052},[248],{"categories":2054},[79],{"categories":2056},[248],{"categories":2058},[139],{"categories":2060},[79],{"categories":2062},[151],{"categories":2064},[142],{"categories":2066},[],{"categories":2068},[79],{"categories":2070},[79],{"categories":2072},[151],{"categories":2074},[1651],{"categories":2076},[219],{"categories":2078},[219],{"categories":2080},[79],{"categories":2082},[139],{"categories":2084},[129],{"categories":2086},[79],{"categories":2088},[79],{"categories":2090},[79],{"categories":2092},[219],{"categories":2094},[219],{"categories":2096},[139],{"categories":2098},[139],{"categories":2100},[139],{"categories":2102},[79],{"categories":2104},[79],{"categories":2106},[],{"categories":2108},[79],{"categories":2110},[],{"categories":2112},[2113],"Interaction & Product Design",{"categories":2115},[79],{"categories":2117},[139],{"categories":2119},[151],{"categories":2121},[314],{"categories":2123},[173],{"categories":2125},[151],{"categories":2127},[79],{"categories":2129},[79],{"categories":2131},[151],{"categories":2133},[129],{"categories":2135},[139],{"categories":2137},[79],{"categories":2139},[],{"categories":2141},[139],{"categories":2143},[139],{"categories":2145},[],{"categories":2147},[151],{"categories":2149},[79],{"categories":2151},[129],{"categories":2153},[2113],{"categories":2155},[79],{"categories":2157},[129],{"categories":2159},[129],{"categories":2161},[],{"categories":2163},[139],{"categories":2165},[151],{"categories":2167},[],{"categories":2169},[139],{"categories":2171},[173],{"categories":2173},[79],{"categories":2175},[139],{"categories":2177},[79],{"categories":2179},[139],{"categories":2181},[79],{"categories":2183},[79],{"categories":2185},[173],{"categories":2187},[176],{"categories":2189},[79],{"categories":2191},[142],{"categories":2193},[151],{"categories":2195},[2196],"Coding Agents & Dev Productivity",{"categories":2198},[173],{"categories":2200},[219],{"categories":2202},[79],{"categories":2204},[79],{"categories":2206},[],{"categories":2208},[79],{"categories":2210},[858],{"categories":2212},[],{"categories":2214},[79],{"categories":2216},[285],{"categories":2218},[79],{"categories":2220},[173],{"categories":2222},[],{"categories":2224},[],{"categories":2226},[79],{"categories":2228},[],{"categories":2230},[139],{"categories":2232},[79],{"categories":2234},[],{"categories":2236},[151],{"categories":2238},[151],{"categories":2240},[79],{"categories":2242},[176],{"categories":2244},[],{"categories":2246},[79],{"categories":2248},[79],{"categories":2250},[79],{"categories":2252},[176],{"categories":2254},[151],{"categories":2256},[139],{"categories":2258},[],{"categories":2260},[],{"categories":2262},[79],{"categories":2264},[79],{"categories":2266},[139],{"categories":2268},[139],{"categories":2270},[377],{"categories":2272},[151],{"categories":2274},[151],{"categories":2276},[139],{"categories":2278},[173],{"categories":2280},[173],{"categories":2282},[139],{"categories":2284},[139],{"categories":2286},[79],{"categories":2288},[129],{"categories":2290},[2113],{"categories":2292},[79,285],{"categories":2294},[176],{"categories":2296},[],{"categories":2298},[219],{"categories":2300},[151],{"categories":2302},[129],{"categories":2304},[79],{"categories":2306},[139],{"categories":2308},[2309],"The Designer's Role & Craft",{"categories":2311},[219],{"categories":2313},[],{"categories":2315},[139],{"categories":2317},[79],{"categories":2319},[139],{"categories":2321},[139],{"categories":2323},[79],{"categories":2325},[248],{"categories":2327},[79],{"categories":2329},[151],{"categories":2331},[79],{"categories":2333},[219],{"categories":2335},[79],{"categories":2337},[],{"categories":2339},[139],{"categories":2341},[219],{"categories":2343},[79],{"categories":2345},[79],{"categories":2347},[79],{"categories":2349},[2350],"AI UX Patterns",{"categories":2352},[139],{"categories":2354},[139],{"categories":2356},[139],{"categories":2358},[139],{"categories":2360},[248],{"categories":2362},[176],{"categories":2364},[79],{"categories":2366},[139],{"categories":2368},[79],{"categories":2370},[1182],{"categories":2372},[],{"categories":2374},[248],{"categories":2376},[139],{"categories":2378},[173],{"categories":2380},[151],{"categories":2382},[79],{"categories":2384},[139],{"categories":2386},[],{"categories":2388},[],{"categories":2390},[79],{"categories":2392},[139],{"categories":2394},[79],{"categories":2396},[139],{"categories":2398},[377],{"categories":2400},[219],{"categories":2402},[79],{"categories":2404},[173],{"categories":2406},[151],{"categories":2408},[79],{"categories":2410},[139],{"categories":2412},[139],{"categories":2414},[],{"categories":2416},[79],{"categories":2418},[],{"categories":2420},[],{"categories":2422},[79],{"categories":2424},[79],{"categories":2426},[79],{"categories":2428},[139],{"categories":2430},[151],{"categories":2432},[],{"categories":2434},[],{"categories":2436},[176],{"categories":2438},[162],{"categories":2440},[79],{"categories":2442},[79],{"categories":2444},[176],{"categories":2446},[79],{"categories":2448},[173],{"categories":2450},[79],{"categories":2452},[79],{"categories":2454},[79],{"categories":2456},[139],{"categories":2458},[79],{"categories":2460},[139],{"categories":2462},[79],{"categories":2464},[79],{"categories":2466},[139],{"categories":2468},[],{"categories":2470},[],{"categories":2472},[79],{"categories":2474},[285],{"categories":2476},[79],{"categories":2478},[],{"categories":2480},[],{"categories":2482},[219],{"categories":2484},[883],{"categories":2486},[139],{"categories":2488},[129],{"categories":2490},[2309],{"categories":2492},[],{"categories":2494},[],{"categories":2496},[79],{"categories":2498},[],{"categories":2500},[],{"categories":2502},[151],{"categories":2504},[173],{"categories":2506},[248],{"categories":2508},[134],{"categories":2510},[79],{"categories":2512},[79],{"categories":2514},[134],{"categories":2516},[],{"categories":2518},[219],{"categories":2520},[142],{"categories":2522},[79],{"categories":2524},[79],{"categories":2526},[139],{"categories":2528},[134],{"categories":2530},[79],{"categories":2532},[79],{"categories":2534},[129],{"categories":2536},[79],{"categories":2538},[],{"categories":2540},[129],{"categories":2542},[79],{"categories":2544},[248],{"categories":2546},[139],{"categories":2548},[173],{"categories":2550},[79],{"categories":2552},[151],{"categories":2554},[79],{"categories":2556},[79],{"categories":2558},[134],{"categories":2560},[79],{"categories":2562},[79],{"categories":2564},[79],{"categories":2566},[139],{"categories":2568},[],{"categories":2570},[79],{"categories":2572},[151],{"categories":2574},[129],{"categories":2576},[79],{"categories":2578},[79],{"categories":2580},[79],{"categories":2582},[],{"categories":2584},[79],{"categories":2586},[456],{"categories":2588},[139],{"categories":2590},[134],{"categories":2592},[173],{"categories":2594},[79],{"categories":2596},[79],{"categories":2598},[],{"categories":2600},[134],{"categories":2602},[134],{"categories":2604},[79],{"categories":2606},[79],{"categories":2608},[142],{"categories":2610},[79],{"categories":2612},[79],{"categories":2614},[79],{"categories":2616},[79],{"categories":2618},[151],{"categories":2620},[151],{"categories":2622},[79],{"categories":2624},[],{"categories":2626},[151],{"categories":2628},[79],{"categories":2630},[151],{"categories":2632},[139],{"categories":2634},[547],{"categories":2636},[],{"categories":2638},[],{"categories":2640},[79],{"categories":2642},[173],{"categories":2644},[],{"categories":2646},[285],{"categories":2648},[79],{"categories":2650},[79],{"categories":2652},[219],{"categories":2654},[847],{"categories":2656},[],{"categories":2658},[79],{"categories":2660},[79],{"categories":2662},[79],{"categories":2664},[151],{"categories":2666},[79],{"categories":2668},[79],{"categories":2670},[79,285],{"categories":2672},[79],{"categories":2674},[79],{"categories":2676},[219],{"categories":2678},[139],{"categories":2680},[],{"categories":2682},[139],{"categories":2684},[139],{"categories":2686},[79],{"categories":2688},[79],{"categories":2690},[79],{"categories":2692},[79],{"categories":2694},[176],{"categories":2696},[79],{"categories":2698},[2350],{"categories":2700},[129],{"categories":2702},[176],{"categories":2704},[129],{"categories":2706},[151],{"categories":2708},[219],{"categories":2710},[139],{"categories":2712},[79],{"categories":2714},[],{"categories":2716},[134],{"categories":2718},[79],{"categories":2720},[79],{"categories":2722},[173],{"categories":2724},[79],{"categories":2726},[79],{"categories":2728},[139],{"categories":2730},[79],{"categories":2732},[79],{"categories":2734},[79],{"categories":2736},[134],{"categories":2738},[],{"categories":2740},[285],{"categories":2742},[79],{"categories":2744},[377],{"categories":2746},[219],{"categories":2748},[219],{"categories":2750},[151],{"categories":2752},[139],{"categories":2754},[79],{"categories":2756},[134],{"categories":2758},[173],{"categories":2760},[79],{"categories":2762},[79],{"categories":2764},[219],{"categories":2766},[139],{"categories":2768},[139],{"categories":2770},[79],{"categories":2772},[79],{"categories":2774},[511],{"categories":2776},[],{"categories":2778},[79],{"categories":2780},[79],{"categories":2782},[79],{"categories":2784},[],{"categories":2786},[],{"categories":2788},[79],{"categories":2790},[79],{"categories":2792},[139],{"categories":2794},[79],{"categories":2796},[79],{"categories":2798},[79],{"categories":2800},[151],{"categories":2802},[79],{"categories":2804},[79],{"categories":2806},[139],{"categories":2808},[79],{"categories":2810},[79],{"categories":2812},[79],{"categories":2814},[79],{"categories":2816},[79],{"categories":2818},[],{"categories":2820},[151],{"categories":2822},[176],{"categories":2824},[79],{"categories":2826},[139],{"categories":2828},[79],{"categories":2830},[],{"categories":2832},[],{"categories":2834},[79],{"categories":2836},[79],{"categories":2838},[79],{"categories":2840},[173],{"categories":2842},[176],{"categories":2844},[],{"categories":2846},[79],{"categories":2848},[219],{"categories":2850},[79],{"categories":2852},[285],{"categories":2854},[1712],{"categories":2856},[173],{"categories":2858},[151],{"categories":2860},[151],{"categories":2862},[151],{"categories":2864},[79],{"categories":2866},[79],{"categories":2868},[173],{"categories":2870},[173],{"categories":2872},[285],{"categories":2874},[139],{"categories":2876},[],{"categories":2878},[173],{"categories":2880},[79],{"categories":2882},[129],{"categories":2884},[151],{"categories":2886},[79],{"categories":2888},[173],{"categories":2890},[],{"categories":2892},[79],{"categories":2894},[151],{"categories":2896},[151],{"categories":2898},[176],{"categories":2900},[79],{"categories":2902},[173],{"categories":2904},[79],{"categories":2906},[151],{"categories":2908},[139],{"categories":2910},[173],{"categories":2912},[139],{"categories":2914},[285],{"categories":2916},[139],{"categories":2918},[79],{"categories":2920},[79],{"categories":2922},[79],{"categories":2924},[79],{"categories":2926},[151],{"categories":2928},[79],{"categories":2930},[],{"categories":2932},[139],{"categories":2934},[134],{"categories":2936},[151],{"categories":2938},[],{"categories":2940},[],{"categories":2942},[79],{"categories":2944},[139],{"categories":2946},[79],{"categories":2948},[79],{"categories":2950},[2951],"Frameworks & Tooling",{"categories":2953},[79],{"categories":2955},[79],{"categories":2957},[151],{"categories":2959},[79],{"categories":2961},[79],{"categories":2963},[],{"categories":2965},[176],{"categories":2967},[176],{"categories":2969},[129],{"categories":2971},[79],{"categories":2973},[139],{"categories":2975},[79],{"categories":2977},[219],{"categories":2979},[],{"categories":2981},[1712],{"categories":2983},[79],{"categories":2985},[151],{"categories":2987},[79],{"categories":2989},[285],{"categories":2991},[285],{"categories":2993},[],{"categories":2995},[139],{"categories":2997},[79],{"categories":2999},[173],{"categories":3001},[173],{"categories":3003},[79],{"categories":3005},[139],{"categories":3007},[],{"categories":3009},[219],{"categories":3011},[79],{"categories":3013},[79],{"categories":3015},[],{"categories":3017},[79],{"categories":3019},[139],{"categories":3021},[79],{"categories":3023},[79],{"categories":3025},[],{"categories":3027},[151],{"categories":3029},[79],{"categories":3031},[151],{"categories":3033},[285],{"categories":3035},[79],{"categories":3037},[79],{"categories":3039},[151],{"categories":3041},[134],{"categories":3043},[79],{"categories":3045},[1712],{"categories":3047},[],{"categories":3049},[139],{"categories":3051},[129],{"categories":3053},[79],{"categories":3055},[129],{"categories":3057},[79],{"categories":3059},[],{"categories":3061},[139],{"categories":3063},[79],{"categories":3065},[3066],"AI Design Tooling",{"categories":3068},[219],{"categories":3070},[79],{"categories":3072},[79],{"categories":3074},[151],{"categories":3076},[219],{"categories":3078},[79],{"categories":3080},[151],{"categories":3082},[173],{"categories":3084},[142],{"categories":3086},[151],{"categories":3088},[79],{"categories":3090},[79],{"categories":3092},[139],{"categories":3094},[79],{"categories":3096},[],{"categories":3098},[79],{"categories":3100},[79],{"categories":3102},[139],{"categories":3104},[79],{"categories":3106},[79],{"categories":3108},[79],{"categories":3110},[139],{"categories":3112},[],{"categories":3114},[139],{"categories":3116},[2951],{"categories":3118},[79],{"categories":3120},[79],{"categories":3122},[139],{"categories":3124},[139],{"categories":3126},[151],{"categories":3128},[151],{"categories":3130},[],{"categories":3132},[151],{"categories":3134},[79],{"categories":3136},[79],{"categories":3138},[139],{"categories":3140},[134],{"categories":3142},[79],{"categories":3144},[],{"categories":3146},[79],{"categories":3148},[79],{"categories":3150},[2113],{"categories":3152},[],{"categories":3154},[79],{"categories":3156},[79],{"categories":3158},[79],{"categories":3160},[79],{"categories":3162},[219],{"categories":3164},[79],{"categories":3166},[],{"categories":3168},[79],{"categories":3170},[79],{"categories":3172},[79],{"categories":3174},[248],{"categories":3176},[173],{"categories":3178},[79],{"categories":3180},[79],{"categories":3182},[1712],{"categories":3184},[129],{"categories":3186},[79],{"categories":3188},[79],{"categories":3190},[176],{"categories":3192},[79],{"categories":3194},[79],{"categories":3196},[173],{"categories":3198},[139],{"categories":3200},[],{"categories":3202},[79],{"categories":3204},[79],{"categories":3206},[219],{"categories":3208},[79],{"categories":3210},[248],{"categories":3212},[139],{"categories":3214},[79],{"categories":3216},[139],{"categories":3218},[],{"categories":3220},[],{"categories":3222},[],{"categories":3224},[129],{"categories":3226},[173],{"categories":3228},[139],{"categories":3230},[79],{"categories":3232},[79],{"categories":3234},[79],{"categories":3236},[79],{"categories":3238},[400],{"categories":3240},[219],{"categories":3242},[139],{"categories":3244},[79],{"categories":3246},[],{"categories":3248},[139],{"categories":3250},[139],{"categories":3252},[],{"categories":3254},[79],{"categories":3256},[139],{"categories":3258},[79],{"categories":3260},[],{"categories":3262},[79],{"categories":3264},[79],{"categories":3266},[173],{"categories":3268},[219],{"categories":3270},[139],{"categories":3272},[219],{"categories":3274},[139],{"categories":3276},[79],{"categories":3278},[134],{"categories":3280},[],{"categories":3282},[],{"categories":3284},[79],{"categories":3286},[79],{"categories":3288},[129],{"categories":3290},[139],{"categories":3292},[173],{"categories":3294},[],{"categories":3296},[219],{"categories":3298},[],{"categories":3300},[151],{"categories":3302},[79],{"categories":3304},[151],{"categories":3306},[219],{"categories":3308},[151],{"categories":3310},[79],{"categories":3312},[],{"categories":3314},[79],{"categories":3316},[79],{"categories":3318},[],{"categories":3320},[79],{"categories":3322},[248],{"categories":3324},[79],{"categories":3326},[285],{"categories":3328},[151],{"categories":3330},[79],{"categories":3332},[],{"categories":3334},[139],{"categories":3336},[79],{"categories":3338},[129],{"categories":3340},[511],{"categories":3342},[79],{"categories":3344},[139],{"categories":3346},[79],{"categories":3348},[139],{"categories":3350},[79],{"categories":3352},[79],{"categories":3354},[79],{"categories":3356},[],{"categories":3358},[79],{"categories":3360},[129],{"categories":3362},[79],{"categories":3364},[134],{"categories":3366},[151],{"categories":3368},[219],{"categories":3370},[],{"categories":3372},[79],{"categories":3374},[],{"categories":3376},[],{"categories":3378},[139],{"categories":3380},[79],{"categories":3382},[151],{"categories":3384},[219],{"categories":3386},[173],{"categories":3388},[79],{"categories":3390},[173],{"categories":3392},[139],{"categories":3394},[219],{"categories":3396},[79],{"categories":3398},[],{"categories":3400},[79],{"categories":3402},[162],{"categories":3404},[139],{"categories":3406},[219],{"categories":3408},[173],{"categories":3410},[134],{"categories":3412},[151],{"categories":3414},[79],{"categories":3416},[79],{"categories":3418},[173],{"categories":3420},[248],{"categories":3422},[],{"categories":3424},[],{"categories":3426},[176],{"categories":3428},[456],{"categories":3430},[79],{"categories":3432},[139],{"categories":3434},[79,151],{"categories":3436},[173],{"categories":3438},[79],{"categories":3440},[79],{"categories":3442},[79],{"categories":3444},[79],{"categories":3446},[139],{"categories":3448},[79],{"categories":3450},[139],{"categories":3452},[79],{"categories":3454},[79],{"categories":3456},[79],{"categories":3458},[],{"categories":3460},[79],{"categories":3462},[1182],{"categories":3464},[151],{"categories":3466},[219],{"categories":3468},[79],{"categories":3470},[79],{"categories":3472},[79],{"categories":3474},[176],{"categories":3476},[139],{"categories":3478},[248],{"categories":3480},[285],{"categories":3482},[],{"categories":3484},[79],{"categories":3486},[134],{"categories":3488},[139],{"categories":3490},[129],{"categories":3492},[139],{"categories":3494},[79],{"categories":3496},[139],{"categories":3498},[139],{"categories":3500},[142],{"categories":3502},[151],{"categories":3504},[79],{"categories":3506},[79],{"categories":3508},[],{"categories":3510},[],{"categories":3512},[],{"categories":3514},[285],{"categories":3516},[79],{"categories":3518},[173],{"categories":3520},[79],{"categories":3522},[79],{"categories":3524},[79],{"categories":3526},[79],{"categories":3528},[],{"categories":3530},[79],{"categories":3532},[176],{"categories":3534},[134],{"categories":3536},[139],{"categories":3538},[79],{"categories":3540},[],{"categories":3542},[79],{"categories":3544},[139],{"categories":3546},[79],{"categories":3548},[285],{"categories":3550},[],{"categories":3552},[219],{"categories":3554},[219],{"categories":3556},[],{"categories":3558},[151],{"categories":3560},[79],{"categories":3562},[219],{"categories":3564},[79],{"categories":3566},[134],{"categories":3568},[139],{"categories":3570},[79],{"categories":3572},[],{"categories":3574},[173],{"categories":3576},[79],{"categories":3578},[79],{"categories":3580},[79],{"categories":3582},[219],{"categories":3584},[139],{"categories":3586},[173],{"categories":3588},[],{"categories":3590},[139],{"categories":3592},[134],{"categories":3594},[139],{"categories":3596},[219],{"categories":3598},[79],{"categories":3600},[79],{"categories":3602},[79],{"categories":3604},[456],{"categories":3606},[79],{"categories":3608},[],{"categories":3610},[79],{"categories":3612},[79],{"categories":3614},[285],{"categories":3616},[173],{"categories":3618},[176],{"categories":3620},[547],{"categories":3622},[176],{"categories":3624},[79],{"categories":3626},[],{"categories":3628},[],{"categories":3630},[],{"categories":3632},[139],{"categories":3634},[139],{"categories":3636},[151],{"categories":3638},[79],{"categories":3640},[433],{"categories":3642},[151],{"categories":3644},[79],{"categories":3646},[79],{"categories":3648},[79],{"categories":3650},[79],{"categories":3652},[139],{"categories":3654},[],{"categories":3656},[],{"categories":3658},[79],{"categories":3660},[],{"categories":3662},[79],{"categories":3664},[139],{"categories":3666},[219],{"categories":3668},[79],{"categories":3670},[79],{"categories":3672},[],{"categories":3674},[139],{"categories":3676},[142],{"categories":3678},[79],{"categories":3680},[219],{"categories":3682},[79],{"categories":3684},[139],{"categories":3686},[134],{"categories":3688},[79],{"categories":3690},[248],{"categories":3692},[139],{"categories":3694},[79],{"categories":3696},[79],{"categories":3698},[847],{"categories":3700},[79],{"categories":3702},[139],{"categories":3704},[79],{"categories":3706},[151],{"categories":3708},[79],{"categories":3710},[511],{"categories":3712},[219],{"categories":3714},[],{"categories":3716},[79],{"categories":3718},[173],{"categories":3720},[456],{"categories":3722},[139],{"categories":3724},[79],{"categories":3726},[],{"categories":3728},[173],{"categories":3730},[377],{"categories":3732},[139],{"categories":3734},[139],{"categories":3736},[139],{"categories":3738},[79],{"categories":3740},[79],{"categories":3742},[139],{"categories":3744},[],{"categories":3746},[134],{"categories":3748},[79],{"categories":3750},[134],{"categories":3752},[139],{"categories":3754},[],{"categories":3756},[151],{"categories":3758},[79],{"categories":3760},[79],{"categories":3762},[129],{"categories":3764},[173],{"categories":3766},[285],{"categories":3768},[162],{"categories":3770},[139],{"categories":3772},[139],{"categories":3774},[79],{"categories":3776},[139],{"categories":3778},[79],{"categories":3780},[129],{"categories":3782},[],{"categories":3784},[79],{"categories":3786},[79],{"categories":3788},[79],{"categories":3790},[139],{"categories":3792},[79],{"categories":3794},[],{"categories":3796},[],{"categories":3798},[219],{"categories":3800},[139],{"categories":3802},[79,134],{"categories":3804},[139],{"categories":3806},[79],{"categories":3808},[],{"categories":3810},[129],{"categories":3812},[176],{"categories":3814},[134],{"categories":3816},[79],{"categories":3818},[151],{"categories":3820},[79],{"categories":3822},[79],{"categories":3824},[139],{"categories":3826},[79],{"categories":3828},[79],{"categories":3830},[79],{"categories":3832},[173],{"categories":3834},[1182],{"categories":3836},[139],{"categories":3838},[79],{"categories":3840},[],{"categories":3842},[],{"categories":3844},[79],{"categories":3846},[139],{"categories":3848},[79],{"categories":3850},[79],{"categories":3852},[285],{"categories":3854},[],{"categories":3856},[79],{"categories":3858},[139],{"categories":3860},[162],{"categories":3862},[139],{"categories":3864},[456],{"categories":3866},[],{"categories":3868},[400],{"categories":3870},[139],{"categories":3872},[79],{"categories":3874},[248],{"categories":3876},[139],{"categories":3878},[79],{"categories":3880},[176],{"categories":3882},[142],{"categories":3884},[139],{"categories":3886},[79],{"categories":3888},[456],{"categories":3890},[79],{"categories":3892},[285],{"categories":3894},[],{"categories":3896},[79],{"categories":3898},[248],{"categories":3900},[219],{"categories":3902},[79],{"categories":3904},[79],{"categories":3906},[79],{"categories":3908},[],{"categories":3910},[248],{"categories":3912},[173],{"categories":3914},[79],{"categories":3916},[79],{"categories":3918},[79],{"categories":3920},[547],{"categories":3922},[129],{"categories":3924},[79],{"categories":3926},[79],{"categories":3928},[],{"categories":3930},[],{"categories":3932},[219],{"categories":3934},[79],{"categories":3936},[176],{"categories":3938},[248],{"categories":3940},[139],{"categories":3942},[79],{"categories":3944},[79],{"categories":3946},[248],{"categories":3948},[173],{"categories":3950},[],{"categories":3952},[79],{"categories":3954},[79],{"categories":3956},[],{"categories":3958},[79],{"categories":3960},[79],{"categories":3962},[572],{"categories":3964},[79],{"categories":3966},[79],{"categories":3968},[139],{"categories":3970},[151],{"categories":3972},[456],{"categories":3974},[79],{"categories":3976},[79],{"categories":3978},[79],{"categories":3980},[],{"categories":3982},[79,151],{"categories":3984},[173],{"categories":3986},[139],{"categories":3988},[151],{"categories":3990},[139],{"categories":3992},[883],{"categories":3994},[151],{"categories":3996},[139],{"categories":3998},[79],{"categories":4000},[129],{"categories":4002},[],{"categories":4004},[],{"categories":4006},[139],{"categories":4008},[79],{"categories":4010},[151],{"categories":4012},[79],{"categories":4014},[129],{"categories":4016},[151],{"categories":4018},[151],{"categories":4020},[79],{"categories":4022},[248],{"categories":4024},[79],{"categories":4026},[151],{"categories":4028},[79],{"categories":4030},[],{"categories":4032},[79],{"categories":4034},[219,79],{"categories":4036},[285],{"categories":4038},[129],{"categories":4040},[79],{"categories":4042},[],{"categories":4044},[79],{"categories":4046},[79],{"categories":4048},[134],{"categories":4050},[79],{"categories":4052},[134],{"categories":4054},[79],{"categories":4056},[79],{"categories":4058},[377],{"categories":4060},[79],{"categories":4062},[134],{"categories":4064},[151],{"categories":4066},[176],{"categories":4068},[139],{"categories":4070},[151],{"categories":4072},[79],{"categories":4074},[79],{"categories":4076},[173],{"categories":4078},[248],{"categories":4080},[219],{"categories":4082},[79],{"categories":4084},[79],{"categories":4086},[79],{"categories":4088},[79],{"categories":4090},[129],{"categories":4092},[79],{"categories":4094},[139],{"categories":4096},[139],{"categories":4098},[151],{"categories":4100},[173],{"categories":4102},[151],{"categories":4104},[151],{"categories":4106},[79],{"categories":4108},[79],{"categories":4110},[],{"categories":4112},[],{"categories":4114},[176],{"categories":4116},[79],{"categories":4118},[151],{"categories":4120},[79],{"categories":4122},[219],{"categories":4124},[456],{"categories":4126},[400],{"categories":4128},[377],{"categories":4130},[79],{"categories":4132},[79],{"categories":4134},[79],{"categories":4136},[176],{"categories":4138},[79],{"categories":4140},[79],{"categories":4142},[79],{"categories":4144},[79],{"categories":4146},[79],{"categories":4148},[79],{"categories":4150},[139],{"categories":4152},[129],{"categories":4154},[139],{"categories":4156},[79,134],{"categories":4158},[],{"categories":4160},[219],{"categories":4162},[],{"categories":4164},[142],{"categories":4166},[79],{"categories":4168},[173],{"categories":4170},[129],{"categories":4172},[79],{"categories":4174},[129],{"categories":4176},[139],{"categories":4178},[176],{"categories":4180},[139],{"categories":4182},[139],{"categories":4184},[79],{"categories":4186},[79],{"categories":4188},[134],{"categories":4190},[139],{"categories":4192},[151],{"categories":4194},[248],{"categories":4196},[79],{"categories":4198},[],{"categories":4200},[173],{"categories":4202},[79],{"categories":4204},[79],{"categories":4206},[79],{"categories":4208},[79],{"categories":4210},[79],{"categories":4212},[79],{"categories":4214},[151],{"categories":4216},[173],{"categories":4218},[151],{"categories":4220},[151],{"categories":4222},[79],{"categories":4224},[79],{"categories":4226},[79],{"categories":4228},[400],{"categories":4230},[79],{"categories":4232},[139],{"categories":4234},[173],{"categories":4236},[79],{"categories":4238},[79],{"categories":4240},[79],{"categories":4242},[139],{"categories":4244},[79],{"categories":4246},[79],{"categories":4248},[79],{"categories":4250},[2951],{"categories":4252},[4253],"Clinical AI",{"categories":4255},[219],{"categories":4257},[79],{"categories":4259},[79],{"categories":4261},[79],{"categories":4263},[285],{"categories":4265},[2350],{"categories":4267},[79],{"categories":4269},[142],{"categories":4271},[79],{"categories":4273},[139],{"categories":4275},[79],{"categories":4277},[79],{"categories":4279},[173],{"categories":4281},[79],{"categories":4283},[139],{"categories":4285},[151],{"categories":4287},[248],{"categories":4289},[79],{"categories":4291},[79],{"categories":4293},[134],{"categories":4295},[79],{"categories":4297},[79],{"categories":4299},[511],{"categories":4301},[79],{"categories":4303},[],{"categories":4305},[79],{"categories":4307},[151],{"categories":4309},[129],{"categories":4311},[79],{"categories":4313},[],{"categories":4315},[],{"categories":4317},[79],{"categories":4319},[],{"categories":4321},[134],{"categories":4323},[79],{"categories":4325},[79],{"categories":4327},[139],{"categories":4329},[173],{"categories":4331},[173],{"categories":4333},[173],{"categories":4335},[173],{"categories":4337},[],{"categories":4339},[129],{"categories":4341},[139],{"categories":4343},[173],{"categories":4345},[79],{"categories":4347},[572],{"categories":4349},[142],{"categories":4351},[79],{"categories":4353},[129],{"categories":4355},[79],{"categories":4357},[139],{"categories":4359},[79],{"categories":4361},[79],{"categories":4363},[79,139],{"categories":4365},[139],{"categories":4367},[285],{"categories":4369},[173],{"categories":4371},[139],{"categories":4373},[173],{"categories":4375},[139],{"categories":4377},[79],{"categories":4379},[],{"categories":4381},[173],{"categories":4383},[248],{"categories":4385},[129],{"categories":4387},[79],{"categories":4389},[79],{"categories":4391},[],{"categories":4393},[151],{"categories":4395},[],{"categories":4397},[129],{"categories":4399},[139],{"categories":4401},[173],{"categories":4403},[79],{"categories":4405},[173],{"categories":4407},[129],{"categories":4409},[173],{"categories":4411},[173],{"categories":4413},[],{"categories":4415},[134],{"categories":4417},[139],{"categories":4419},[173],{"categories":4421},[173],{"categories":4423},[173],{"categories":4425},[173],{"categories":4427},[173],{"categories":4429},[173],{"categories":4431},[173],{"categories":4433},[173],{"categories":4435},[173],{"categories":4437},[173],{"categories":4439},[176],{"categories":4441},[129],{"categories":4443},[79],{"categories":4445},[79],{"categories":4447},[139],{"categories":4449},[139],{"categories":4451},[],{"categories":4453},[79],{"categories":4455},[79,129],{"categories":4457},[],{"categories":4459},[139],{"categories":4461},[79],{"categories":4463},[173],{"categories":4465},[139],{"categories":4467},[883],{"categories":4469},[79],{"categories":4471},[79],{"categories":4473},[79],{"categories":4475},[79],{"categories":4477},[79],{"categories":4479},[377],{"categories":4481},[79],{"categories":4483},[79],{"categories":4485},[139],{"categories":4487},[79],{"categories":4489},[134],{"categories":4491},[142],{"categories":4493},[139],{"categories":4495},[139],{"categories":4497},[],{"categories":4499},[139],{"categories":4501},[219],{"categories":4503},[173],{"categories":4505},[79],{"categories":4507},[],{"categories":4509},[142],{"categories":4511},[],{"categories":4513},[151],{"categories":4515},[139],{"categories":4517},[219],{"categories":4519},[79],{"categories":4521},[],{"categories":4523},[79],{"categories":4525},[],{"categories":4527},[248],{"categories":4529},[79],{"categories":4531},[],{"categories":4533},[],{"categories":4535},[173],{"categories":4537},[129],{"categories":4539},[79],{"categories":4541},[79],{"categories":4543},[134],{"categories":4545},[79],{"categories":4547},[79],{"categories":4549},[79],{"categories":4551},[134],{"categories":4553},[134],{"categories":4555},[219],{"categories":4557},[],{"categories":4559},[79],{"categories":4561},[173],{"categories":4563},[],{"categories":4565},[79],{"categories":4567},[79],{"categories":4569},[219],{"categories":4571},[79],{"categories":4573},[248],{"categories":4575},[79],{"categories":4577},[285],{"categories":4579},[],{"categories":4581},[139],{"categories":4583},[248],{"categories":4585},[151],{"categories":4587},[],{"categories":4589},[79],{"categories":4591},[],{"categories":4593},[139],{"categories":4595},[219],{"categories":4597},[151],{"categories":4599},[],{"categories":4601},[2951],{"categories":4603},[134],{"categories":4605},[129],{"categories":4607},[79],{"categories":4609},[176],{"categories":4611},[139],{"categories":4613},[219],{"categories":4615},[151],{"categories":4617},[],{"categories":4619},[],{"categories":4621},[79],{"categories":4623},[129],{"categories":4625},[79],{"categories":4627},[248],{"categories":4629},[],{"categories":4631},[139],{"categories":4633},[139],{"categories":4635},[79],{"categories":4637},[139],{"categories":4639},[79],{"categories":4641},[173],{"categories":4643},[151],{"categories":4645},[79],{"categories":4647},[139],{"categories":4649},[142],{"categories":4651},[79],{"categories":4653},[79],{"categories":4655},[139],{"categories":4657},[79],{"categories":4659},[142],{"categories":4661},[248],{"categories":4663},[173],{"categories":4665},[],{"categories":4667},[248],{"categories":4669},[79],{"categories":4671},[],{"categories":4673},[151],{"categories":4675},[139],{"categories":4677},[],{"categories":4679},[79],{"categories":4681},[79],{"categories":4683},[79],{"categories":4685},[79],{"categories":4687},[79],{"categories":4689},[139],{"categories":4691},[134],{"categories":4693},[129],{"categories":4695},[79],{"categories":4697},[219],{"categories":4699},[151],{"categories":4701},[151],{"categories":4703},[79],{"categories":4705},[176],{"categories":4707},[139],{"categories":4709},[79],{"categories":4711},[79],{"categories":4713},[139],{"categories":4715},[79],{"categories":4717},[134],{"categories":4719},[219],{"categories":4721},[151],{"categories":4723},[139],{"categories":4725},[79],{"categories":4727},[142],{"categories":4729},[79],{"categories":4731},[139],{"categories":4733},[79],{"categories":4735},[79],{"categories":4737},[173],{"categories":4739},[79],{"categories":4741},[],{"categories":4743},[129],{"categories":4745},[79],{"categories":4747},[79],{"categories":4749},[79],{"categories":4751},[151],{"categories":4753},[151],{"categories":4755},[79],{"categories":4757},[151],{"categories":4759},[79],{"categories":4761},[139],{"categories":4763},[79],{"categories":4765},[79],{"categories":4767},[79],{"categories":4769},[79],{"categories":4771},[79],{"categories":4773},[],{"categories":4775},[79],{"categories":4777},[219],{"categories":4779},[134],{"categories":4781},[173],{"categories":4783},[79],{"categories":4785},[139],{"categories":4787},[79],{"categories":4789},[139],{"categories":4791},[79],{"categories":4793},[79],{"categories":4795},[219],{"categories":4797},[139],{"categories":4799},[79],{"categories":4801},[248],{"categories":4803},[79],{"categories":4805},[176],{"categories":4807},[79],{"categories":4809},[79],{"categories":4811},[173],{"categories":4813},[79],{"categories":4815},[79],{"categories":4817},[79],{"categories":4819},[79],{"categories":4821},[139],{"categories":4823},[285],{"categories":4825},[79],{"categories":4827},[151],{"categories":4829},[139],{"categories":4831},[176],{"categories":4833},[],{"categories":4835},[139],{"categories":4837},[151],{"categories":4839},[79],{"categories":4841},[79],{"categories":4843},[2196],{"categories":4845},[219],{"categories":4847},[314],{"categories":4849},[79],{"categories":4851},[79],{"categories":4853},[79],{"categories":4855},[79],{"categories":4857},[129],{"categories":4859},[79],{"categories":4861},[79],{"categories":4863},[151],{"categories":4865},[134],{"categories":4867},[151],{"categories":4869},[79],{"categories":4871},[],{"categories":4873},[139],{"categories":4875},[139],{"categories":4877},[79],{"categories":4879},[79],{"categories":4881},[176],{"categories":4883},[],{"categories":4885},[173],{"categories":4887},[],{"categories":4889},[173],{"categories":4891},[79],{"categories":4893},[79],{"categories":4895},[139],{"categories":4897},[79],{"categories":4899},[139],{"categories":4901},[139],{"categories":4903},[],{"categories":4905},[173],{"categories":4907},[79],{"categories":4909},[],{"categories":4911},[79],{"categories":4913},[79],{"categories":4915},[],{"categories":4917},[79],{"categories":4919},[219],{"categories":4921},[151],{"categories":4923},[139],{"categories":4925},[79],{"categories":4927},[79],{"categories":4929},[79],{"categories":4931},[248],{"categories":4933},[79],{"categories":4935},[79],{"categories":4937},[79],{"categories":4939},[129],{"categories":4941},[79],{"categories":4943},[79],{"categories":4945},[],{"categories":4947},[79],{"categories":4949},[79],{"categories":4951},[],{"categories":4953},[129],{"categories":4955},[79],{"categories":4957},[173],{"categories":4959},[151],{"categories":4961},[142],{"categories":4963},[456],{"categories":4965},[79],{"categories":4967},[79],{"categories":4969},[79],{"categories":4971},[151],{"categories":4973},[173],{"categories":4975},[219],{"categories":4977},[79],{"categories":4979},[79],{"categories":4981},[79],{"categories":4983},[79],{"categories":4985},[173],{"categories":4987},[219],{"categories":4989},[79],{"categories":4991},[79],{"categories":4993},[173],{"categories":4995},[219],{"categories":4997},[79],{"categories":4999},[173],{"categories":5001},[79],{"categories":5003},[139],{"categories":5005},[139],{"categories":5007},[139],{"categories":5009},[151],{"categories":5011},[173],{"categories":5013},[139],{"categories":5015},[139],{"categories":5017},[79],{"categories":5019},[151],{"categories":5021},[219],{"categories":5023},[79],{"categories":5025},[79],{"categories":5027},[79],{"categories":5029},[],{"categories":5031},[139],{"categories":5033},[],{"categories":5035},[79],{"categories":5037},[79],{"categories":5039},[],{"categories":5041},[],{"categories":5043},[139],{"categories":5045},[134],{"categories":5047},[139],{"categories":5049},[5050],"Liability & Ethics",{"categories":5052},[79],{"categories":5054},[79],{"categories":5056},[139],{"categories":5058},[129],{"categories":5060},[139],{"categories":5062},[134],{"categories":5064},[248],{"categories":5066},[139],{"categories":5068},[79],{"categories":5070},[79],{"categories":5072},[],{"categories":5074},[547],{"categories":5076},[139],{"categories":5078},[],{"categories":5080},[79],{"categories":5082},[129],{"categories":5084},[139],{"categories":5086},[],{"categories":5088},[139],{"categories":5090},[79],{"categories":5092},[79],{"categories":5094},[151],{"categories":5096},[79],{"categories":5098},[173],{"categories":5100},[79],{"categories":5102},[79],{"categories":5104},[139],{"categories":5106},[79],{"categories":5108},[79],{"categories":5110},[79],{"categories":5112},[173],{"categories":5114},[139],{"categories":5116},[151],{"categories":5118},[219],{"categories":5120},[129],{"categories":5122},[79],{"categories":5124},[79],{"categories":5126},[],{"categories":5128},[139],{"categories":5130},[139],{"categories":5132},[139],{"categories":5134},[456],{"categories":5136},[219],{"categories":5138},[139],{"categories":5140},[285],{"categories":5142},[151],{"categories":5144},[173],{"categories":5146},[79],{"categories":5148},[219],{"categories":5150},[79],{"categories":5152},[129],{"categories":5154},[],{"categories":5156},[139],{"categories":5158},[79],{"categories":5160},[79],{"categories":5162},[79],{"categories":5164},[139],{"categories":5166},[79],{"categories":5168},[219],{"categories":5170},[],{"categories":5172},[139],{"categories":5174},[142],{"categories":5176},[173],{"categories":5178},[139],{"categories":5180},[134],{"categories":5182},[],{"categories":5184},[79],{"categories":5186},[79],{"categories":5188},[142],{"categories":5190},[79],{"categories":5192},[139],{"categories":5194},[173],{"categories":5196},[129],{"categories":5198},[285],{"categories":5200},[79],{"categories":5202},[79],{"categories":5204},[79],{"categories":5206},[173],{"categories":5208},[134],{"categories":5210},[79],{"categories":5212},[219],{"categories":5214},[173],{"categories":5216},[285],{"categories":5218},[79],{"categories":5220},[139],{"categories":5222},[],{"categories":5224},[511],{"categories":5226},[],{"categories":5228},[79],{"categories":5230},[285],{"categories":5232},[79],{"categories":5234},[176],{"categories":5236},[139],{"categories":5238},[139],{"categories":5240},[5241],"Design News & Tools",{"categories":5243},[79],{"categories":5245},[173],{"categories":5247},[79],{"categories":5249},[79],{"categories":5251},[129],{"categories":5253},[79],{"categories":5255},[219],{"categories":5257},[139],{"categories":5259},[139],{"categories":5261},[219],{"categories":5263},[79],{"categories":5265},[456],{"categories":5267},[139],{"categories":5269},[79],{"categories":5271},[79],{"categories":5273},[456],{"categories":5275},[79],{"categories":5277},[248],{"categories":5279},[79],{"categories":5281},[139],{"categories":5283},[],{"categories":5285},[79],{"categories":5287},[79],{"categories":5289},[79],{"categories":5291},[173],{"categories":5293},[129],{"categories":5295},[],{"categories":5297},[79],{"categories":5299},[79],{"categories":5301},[79],{"categories":5303},[151],{"categories":5305},[572],{"categories":5307},[151],{"categories":5309},[219],{"categories":5311},[79],{"categories":5313},[79,139],{"categories":5315},[248,134],{"categories":5317},[151],{"categories":5319},[79],{"categories":5321},[79],{"categories":5323},[79],{"categories":5325},[79],{"categories":5327},[],{"categories":5329},[139],{"categories":5331},[79],{"categories":5333},[],{"categories":5335},[79],{"categories":5337},[151],{"categories":5339},[79],{"categories":5341},[151],{"categories":5343},[],{"categories":5345},[139],{"categories":5347},[79],{"categories":5349},[134],{"categories":5351},[79],{"categories":5353},[173],{"categories":5355},[79],{"categories":5357},[],{"categories":5359},[139],{"categories":5361},[79],{"categories":5363},[],{"categories":5365},[219],{"categories":5367},[79],{"categories":5369},[79],{"categories":5371},[139],{"categories":5373},[79],{"categories":5375},[79],{"categories":5377},[129],{"categories":5379},[139],{"categories":5381},[79],{"categories":5383},[],{"categories":5385},[285],{"categories":5387},[248],{"categories":5389},[134],{"categories":5391},[134],{"categories":5393},[79],{"categories":5395},[129],{"categories":5397},[129],{"categories":5399},[79],{"categories":5401},[139],{"categories":5403},[79],{"categories":5405},[79],{"categories":5407},[79],{"categories":5409},[79],{"categories":5411},[151],{"categories":5413},[79],{"categories":5415},[129],{"categories":5417},[79],{"categories":5419},[139],{"categories":5421},[79],{"categories":5423},[248],{"categories":5425},[79],{"categories":5427},[173],{"categories":5429},[79],{"categories":5431},[79],{"categories":5433},[139],{"categories":5435},[79],{"categories":5437},[139],{"categories":5439},[],{"categories":5441},[151],{"categories":5443},[],{"categories":5445},[151],{"categories":5447},[139],{"categories":5449},[129],{"categories":5451},[],{"categories":5453},[176],{"categories":5455},[285],{"categories":5457},[79],{"categories":5459},[151],{"categories":5461},[79],{"categories":5463},[],{"categories":5465},[173],{"categories":5467},[139],{"categories":5469},[151],{"categories":5471},[219],{"categories":5473},[79],{"categories":5475},[79],{"categories":5477},[139],{"categories":5479},[151],{"categories":5481},[139],{"categories":5483},[173],{"categories":5485},[79],{"categories":5487},[142],{"categories":5489},[129],{"categories":5491},[142],{"categories":5493},[173],{"categories":5495},[79],{"categories":5497},[151],{"categories":5499},[79],{"categories":5501},[219],{"categories":5503},[134],{"categories":5505},[79],{"categories":5507},[79],{"categories":5509},[79],{"categories":5511},[79],{"categories":5513},[79],{"categories":5515},[79],{"categories":5517},[139],{"categories":5519},[79],{"categories":5521},[139],{"categories":5523},[79],{"categories":5525},[79],{"categories":5527},[129],{"categories":5529},[79],{"categories":5531},[139],{"categories":5533},[139],{"categories":5535},[219],{"categories":5537},[139],{"categories":5539},[139],{"categories":5541},[129],{"categories":5543},[139],{"categories":5545},[219],{"categories":5547},[],{"categories":5549},[79],{"categories":5551},[176],{"categories":5553},[456],{"categories":5555},[79],{"categories":5557},[79],{"categories":5559},[79],{"categories":5561},[151],{"categories":5563},[79],{"categories":5565},[],{"categories":5567},[79],{"categories":5569},[139],{"categories":5571},[79],{"categories":5573},[248],{"categories":5575},[79],{"categories":5577},[173],{"categories":5579},[139],{"categories":5581},[79],{"categories":5583},[248],{"categories":5585},[139],{"categories":5587},[134],{"categories":5589},[134],{"categories":5591},[79],{"categories":5593},[79],{"categories":5595},[79],{"categories":5597},[79],{"categories":5599},[79],{"categories":5601},[129],{"categories":5603},[],{"categories":5605},[79],{"categories":5607},[79],{"categories":5609},[139],{"categories":5611},[139],{"categories":5613},[79],{"categories":5615},[79],{"categories":5617},[79],{"categories":5619},[151],{"categories":5621},[],{"categories":5623},[129],{"categories":5625},[79],{"categories":5627},[79],{"categories":5629},[139],{"categories":5631},[139],{"categories":5633},[],{"categories":5635},[151],{"categories":5637},[151],{"categories":5639},[79],{"categories":5641},[248],{"categories":5643},[134],{"categories":5645},[219],{"categories":5647},[],{"categories":5649},[79],{"categories":5651},[139],{"categories":5653},[129],{"categories":5655},[79],{"categories":5657},[79],{"categories":5659},[151],{"categories":5661},[129],{"categories":5663},[79],{"categories":5665},[79],{"categories":5667},[173],{"categories":5669},[176],{"categories":5671},[173],{"categories":5673},[139],{"categories":5675},[79],{"categories":5677},[],{"categories":5679},[173],{"categories":5681},[139],{"categories":5683},[219],{"categories":5685},[176],{"categories":5687},[79],{"categories":5689},[79],{"categories":5691},[],{"categories":5693},[139],{"categories":5695},[139],{"categories":5697},[139],{"categories":5699},[2951],{"categories":5701},[173],{"categories":5703},[79],{"categories":5705},[151],{"categories":5707},[79],{"categories":5709},[79],{"categories":5711},[79],{"categories":5713},[79],{"categories":5715},[134],{"categories":5717},[79],{"categories":5719},[129],{"categories":5721},[1712],{"categories":5723},[285],{"categories":5725},[129],{"categories":5727},[],{"categories":5729},[79],{"categories":5731},[],{"categories":5733},[173],{"categories":5735},[139],{"categories":5737},[219],{"categories":5739},[79],{"categories":5741},[79],{"categories":5743},[173],{"categories":5745},[],{"categories":5747},[139],{"categories":5749},[139],{"categories":5751},[139],{"categories":5753},[],{"categories":5755},[79],{"categories":5757},[],{"categories":5759},[173],{"categories":5761},[129],{"categories":5763},[219],{"categories":5765},[79],{"categories":5767},[139],{"categories":5769},[173],{"categories":5771},[79],{"categories":5773},[173],{"categories":5775},[],{"categories":5777},[173],{"categories":5779},[129],{"categories":5781},[456],{"categories":5783},[139],{"categories":5785},[79],{"categories":5787},[],{"categories":5789},[151],{"categories":5791},[139],{"categories":5793},[142],{"categories":5795},[139],{"categories":5797},[129],{"categories":5799},[],{"categories":5801},[],{"categories":5803},[],{"categories":5805},[219],{"categories":5807},[139],{"categories":5809},[79],{"categories":5811},[79],{"categories":5813},[],{"categories":5815},[],{"categories":5817},[],{"categories":5819},[79],{"categories":5821},[219],{"categories":5823},[79],{"categories":5825},[],{"categories":5827},[139],{"categories":5829},[79],{"categories":5831},[79],{"categories":5833},[129],{"categories":5835},[],{"categories":5837},[],{"categories":5839},[79],{"categories":5841},[219],{"categories":5843},[79],{"categories":5845},[173],{"categories":5847},[],{"categories":5849},[79],{"categories":5851},[248],{"categories":5853},[173],{"categories":5855},[248],{"categories":5857},[176],{"categories":5859},[79],{"categories":5861},[79],{"categories":5863},[],{"categories":5865},[],{"categories":5867},[139],{"categories":5869},[],{"categories":5871},[79],{"categories":5873},[456],{"categories":5875},[79],{"categories":5877},[79],{"categories":5879},[79],{"categories":5881},[79],{"categories":5883},[],{"categories":5885},[139],{"categories":5887},[79],{"categories":5889},[79],{"categories":5891},[],{"categories":5893},[139],{"categories":5895},[79],{"categories":5897},[173],{"categories":5899},[79],{"categories":5901},[248],{"categories":5903},[134],{"categories":5905},[79],{"categories":5907},[79],{"categories":5909},[139],{"categories":5911},[176],{"categories":5913},[139],{"categories":5915},[139],{"categories":5917},[],{"categories":5919},[139],{"categories":5921},[],{"categories":5923},[79],{"categories":5925},[],{"categories":5927},[173],{"categories":5929},[134],{"categories":5931},[],{"categories":5933},[79],{"categories":5935},[79],{"categories":5937},[],{"categories":5939},[219],{"categories":5941},[129],{"categories":5943},[],{"categories":5945},[134],{"categories":5947},[248],{"categories":5949},[79],{"categories":5951},[151],{"categories":5953},[129],{"categories":5955},[176],{"categories":5957},[134],{"categories":5959},[151],{"categories":5961},[139],{"categories":5963},[151],{"categories":5965},[],{"categories":5967},[79],{"categories":5969},[142],{"categories":5971},[79],{"categories":5973},[],{"categories":5975},[139],{"categories":5977},[129],{"categories":5979},[219],{"categories":5981},[79],{"categories":5983},[129],{"categories":5985},[139],{"categories":5987},[285],{"categories":5989},[79],{"categories":5991},[79],{"categories":5993},[79],{"categories":5995},[129],{"categories":5997},[176],{"categories":5999},[139],{"categories":6001},[],{"categories":6003},[79],{"categories":6005},[79],{"categories":6007},[79],{"categories":6009},[151],{"categories":6011},[139],{"categories":6013},[173],{"categories":6015},[151],{"categories":6017},[79],{"categories":6019},[142],{"categories":6021},[],{"categories":6023},[219],{"categories":6025},[151],{"categories":6027},[173],{"categories":6029},[129],{"categories":6031},[139],{"categories":6033},[79],{"categories":6035},[79],{"categories":6037},[139],{"categories":6039},[142],{"categories":6041},[79],{"categories":6043},[139],{"categories":6045},[79],{"categories":6047},[134],{"categories":6049},[139],{"categories":6051},[139,285],{"categories":6053},[79],{"categories":6055},[79],{"categories":6057},[139],{"categories":6059},[151],{"categories":6061},[79],{"categories":6063},[79],{"categories":6065},[176],{"categories":6067},[139],{"categories":6069},[248],{"categories":6071},[139],{"categories":6073},[134],{"categories":6075},[],{"categories":6077},[139],{"categories":6079},[79],{"categories":6081},[134],{"categories":6083},[],{"categories":6085},[],{"categories":6087},[151],{"categories":6089},[79],{"categories":6091},[79],{"categories":6093},[139],{"categories":6095},[176],{"categories":6097},[248],{"categories":6099},[79],{"categories":6101},[79],{"categories":6103},[139],{"categories":6105},[],{"categories":6107},[139],{"categories":6109},[173],{"categories":6111},[139],{"categories":6113},[79],{"categories":6115},[],{"categories":6117},[173],{"categories":6119},[151],{"categories":6121},[2951],{"categories":6123},[129],{"categories":6125},[151],{"categories":6127},[79],{"categories":6129},[139],{"categories":6131},[79],{"categories":6133},[79],{"categories":6135},[248],{"categories":6137},[151],{"categories":6139},[],{"categories":6141},[173],{"categories":6143},[79],{"categories":6145},[],{"categories":6147},[139],{"categories":6149},[79],{"categories":6151},[79],{"categories":6153},[79],{"categories":6155},[79],{"categories":6157},[139],{"categories":6159},[79],{"categories":6161},[79],{"categories":6163},[142],{"categories":6165},[79],{"categories":6167},[139],{"categories":6169},[79],{"categories":6171},[79],{"categories":6173},[79],{"categories":6175},[79],{"categories":6177},[79],{"categories":6179},[79],{"categories":6181},[79],{"categories":6183},[134],{"categories":6185},[],{"categories":6187},[142],{"categories":6189},[173],{"categories":6191},[139],{"categories":6193},[79],{"categories":6195},[151],{"categories":6197},[],{"categories":6199},[151],{"categories":6201},[151],{"categories":6203},[139],{"categories":6205},[151],{"categories":6207},[79],{"categories":6209},[79],{"categories":6211},[79],{"categories":6213},[139],{"categories":6215},[151],{"categories":6217},[79],{"categories":6219},[79],{"categories":6221},[79],{"categories":6223},[139],{"categories":6225},[173],{"categories":6227},[79],{"categories":6229},[79],{"categories":6231},[79],{"categories":6233},[134],{"categories":6235},[79],{"categories":6237},[139],{"categories":6239},[219],{"categories":6241},[],{"categories":6243},[79],{"categories":6245},[176],{"categories":6247},[139],{"categories":6249},[79],{"categories":6251},[79],{"categories":6253},[],{"categories":6255},[79],{"categories":6257},[79],{"categories":6259},[173],{"categories":6261},[79],{"categories":6263},[79],{"categories":6265},[139],{"categories":6267},[248],{"categories":6269},[],{"categories":6271},[],{"categories":6273},[151],{"categories":6275},[79],{"categories":6277},[173],{"categories":6279},[79],{"categories":6281},[151],{"categories":6283},[173],{"categories":6285},[79],{"categories":6287},[248],{"categories":6289},[176],{"categories":6291},[79],{"categories":6293},[79],{"categories":6295},[129],{"categories":6297},[139],{"categories":6299},[79],{"categories":6301},[79],{"categories":6303},[139],{"categories":6305},[139],{"categories":6307},[79],{"categories":6309},[134],{"categories":6311},[],{"categories":6313},[176],{"categories":6315},[79],{"categories":6317},[],{"categories":6319},[173],{"categories":6321},[79],{"categories":6323},[176],{"categories":6325},[79],{"categories":6327},[151],{"categories":6329},[151],{"categories":6331},[151],{"categories":6333},[139],{"categories":6335},[139],{"categories":6337},[79],{"categories":6339},[139],{"categories":6341},[79],{"categories":6343},[79],{"categories":6345},[219],{"categories":6347},[176],{"categories":6349},[176],{"categories":6351},[],{"categories":6353},[173],{"categories":6355},[79],{"categories":6357},[79],{"categories":6359},[151],{"categories":6361},[],{"categories":6363},[173],{"categories":6365},[173],{"categories":6367},[173],{"categories":6369},[],{"categories":6371},[139],{"categories":6373},[79],{"categories":6375},[],{"categories":6377},[129],{"categories":6379},[134],{"categories":6381},[],{"categories":6383},[79],{"categories":6385},[79],{"categories":6387},[],{"categories":6389},[151],{"categories":6391},[],{"categories":6393},[],{"categories":6395},[],{"categories":6397},[],{"categories":6399},[79],{"categories":6401},[173],{"categories":6403},[],{"categories":6405},[],{"categories":6407},[79],{"categories":6409},[79],{"categories":6411},[79],{"categories":6413},[176],{"categories":6415},[79],{"categories":6417},[176],{"categories":6419},[],{"categories":6421},[176],{"categories":6423},[176],{"categories":6425},[285],{"categories":6427},[139],{"categories":6429},[151],{"categories":6431},[],{"categories":6433},[],{"categories":6435},[176],{"categories":6437},[151],{"categories":6439},[151],{"categories":6441},[151],{"categories":6443},[],{"categories":6445},[129],{"categories":6447},[151],{"categories":6449},[151],{"categories":6451},[129],{"categories":6453},[151],{"categories":6455},[134],{"categories":6457},[151],{"categories":6459},[151],{"categories":6461},[151],{"categories":6463},[176],{"categories":6465},[173],{"categories":6467},[173],{"categories":6469},[79],{"categories":6471},[151],{"categories":6473},[176],{"categories":6475},[285],{"categories":6477},[176],{"categories":6479},[176],{"categories":6481},[176],{"categories":6483},[],{"categories":6485},[134],{"categories":6487},[],{"categories":6489},[285],{"categories":6491},[151],{"categories":6493},[151],{"categories":6495},[151],{"categories":6497},[139],{"categories":6499},[173,134],{"categories":6501},[176],{"categories":6503},[],{"categories":6505},[],{"categories":6507},[176],{"categories":6509},[],{"categories":6511},[176],{"categories":6513},[173],{"categories":6515},[139],{"categories":6517},[],{"categories":6519},[151],{"categories":6521},[79],{"categories":6523},[219],{"categories":6525},[],{"categories":6527},[79],{"categories":6529},[],{"categories":6531},[173],{"categories":6533},[129],{"categories":6535},[176],{"categories":6537},[],{"categories":6539},[151],{"categories":6541},[173],[6543,6650,6725,6794],{"id":6544,"title":6545,"ai":6546,"body":6551,"categories":6628,"created_at":80,"date_modified":80,"description":72,"extension":81,"faq":80,"featured":82,"kicker_label":80,"meta":6629,"navigation":103,"path":6635,"published_at":6636,"question":80,"scraped_at":6637,"seo":6638,"sitemap":6639,"source_id":6640,"source_name":110,"source_type":111,"source_url":6641,"stem":6642,"tags":6643,"thumbnail_url":6645,"tldr":6646,"tweet":6647,"unknown_tags":6648,"__hash__":6649},"summaries\u002Fsummaries\u002F1a957720c42b55bc-moving-ai-agents-from-game-based-rl-to-real-world--summary.md","Moving AI Agents from Game-Based RL to Real-World Reliability",{"provider":7,"model":8,"input_tokens":6547,"output_tokens":6548,"processing_time_ms":6549,"cost_usd":6550},7219,690,2987,0.00283975,{"type":14,"value":6552,"toc":6623},[6553,6557,6560,6564,6567,6593,6597,6600,6620],[17,6554,6556],{"id":6555},"the-gap-between-rl-and-real-world-deployment","The Gap Between RL and Real-World Deployment",[22,6558,6559],{},"Reinforcement Learning (RL) excels in game-like environments where outcomes are verifiable and the state is fully observable. However, deploying agents for 'computer use' (e.g., filing expenses, browsing) exposes fundamental flaws in traditional RL assumptions. In real-world environments, the agent faces partial observability (DOM vs. screenshots), irreversible actions, expiring credentials, and adversarial UI elements like sponsored buttons designed to trick users. When the environment 'fights back,' simple RL agents often fail by hallucinating passwords, clicking wrong buttons, or entering infinite loops.",[17,6561,6563],{"id":6562},"implementing-flight-school-for-agents","Implementing 'Flight School' for Agents",[22,6565,6566],{},"To bridge the gap between demos and production-ready products, developers must move from outcome-based rewards to a 'flight school' approach that simulates the messiness of the real world. This involves:",[39,6568,6569,6575,6581,6587],{},[42,6570,6571,6574],{},[45,6572,6573],{},"High-Fidelity Sandboxes:"," Training environments must include real-world edge cases like layout shifts, slow network loads, pop-ups, and stale tabs. Recovery must be a native model action (e.g., refresh, backtrack, wait) rather than an infrastructure reset.",[42,6576,6577,6580],{},[45,6578,6579],{},"Process Reward Models:"," Instead of only scoring the final outcome, reward models must penalize dangerous steps taken during the trajectory to discourage risky behavior.",[42,6582,6583,6586],{},[45,6584,6585],{},"Calibrated Confidence:"," Agents must learn to assess the risk of an action—considering whether it is reversible, authorized, and visible—and proactively escalate to a human when confidence is low.",[42,6588,6589,6592],{},[45,6590,6591],{},"Adversarial Training:"," Actively testing the model against adversarial tasks (like deceptive UI) during training ensures it learns to navigate traps rather than falling for them.",[17,6594,6596],{"id":6595},"the-role-of-the-harness-and-architecture","The Role of the 'Harness' and Architecture",[22,6598,6599],{},"Successful computer-use agents require a robust 'harness'—the interface between the model and the world—that acts as a safety layer. This harness should include:",[39,6601,6602,6608,6614],{},[42,6603,6604,6607],{},[45,6605,6606],{},"Guardrails:"," Checkpointing and rollback mechanisms, action risk classifiers, and credential monitoring to prevent harmful state changes.",[42,6609,6610,6613],{},[45,6611,6612],{},"Perception Primitives:"," Models need more than just code-execution capabilities; they require visual grounding to understand screen density, layout, and semantic purpose.",[42,6615,6616,6619],{},[45,6617,6618],{},"Human-in-the-Loop:"," When the model's calibrated confidence is low, the harness should force a handoff to the user.",[22,6621,6622],{},"As the model matures through these training loops, it becomes more capable of handling edge cases autonomously, allowing the harness to become thinner over time. The ultimate goal is to build a system that fails gracefully, captures the failure mode as data, and uses that data to improve the model's future performance.",{"title":72,"searchDepth":73,"depth":73,"links":6624},[6625,6626,6627],{"id":6555,"depth":73,"text":6556},{"id":6562,"depth":73,"text":6563},{"id":6595,"depth":73,"text":6596},[79],{"content_references":6630,"triage":6631},[],{"relevance":6632,"novelty":99,"quality":99,"actionability":99,"composite":6633,"reasoning":6634},5,4.35,"Category: AI & LLMs. The article provides a deep dive into the challenges of deploying AI agents in real-world scenarios, addressing specific pain points such as partial observability and adversarial UI elements. It offers actionable insights on implementing 'flight school' simulations, which can directly inform product builders looking to enhance their AI features.","\u002Fsummaries\u002F1a957720c42b55bc-moving-ai-agents-from-game-based-rl-to-real-world-summary","2026-08-14 16:00:06","2026-08-15 03:10:27",{"title":6545,"description":72},{"loc":6635},"1a957720c42b55bc","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Cc0_nyxROBA","summaries\u002F1a957720c42b55bc-moving-ai-agents-from-game-based-rl-to-real-world--summary",[115,6644,116,117],"automation","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FCc0_nyxROBA\u002Fhqdefault.jpg","Training AI agents for computer use requires moving beyond simple outcome-based reinforcement learning toward 'flight school' simulations that account for real-world messiness, partial observability, and adversarial UI.","This talk outlines the shift from training agents in controlled, game-like environments to the messy reality of browser-based automation. The speaker argues that \"flight school\" simulations—which explicitly include layout shifts, stale sessions, and adversarial UI—are necessary to teach agents how to recover from errors rather than just attempting to brute-force tasks.",[116,117],"Vf_HKguHFeLOysgjOFJX70b87xxcRcfIS7Ygo3zX2m0",{"id":6651,"title":6652,"ai":6653,"body":6658,"categories":6701,"created_at":80,"date_modified":80,"description":72,"extension":81,"faq":80,"featured":82,"kicker_label":80,"meta":6702,"navigation":103,"path":6710,"published_at":6711,"question":80,"scraped_at":6712,"seo":6713,"sitemap":6714,"source_id":6715,"source_name":6716,"source_type":6717,"source_url":6718,"stem":6719,"tags":6720,"thumbnail_url":80,"tldr":6722,"tweet":80,"unknown_tags":6723,"__hash__":6724},"summaries\u002Fsummaries\u002F4a3a16344e7faccb-river-ai-raises-1-1b-to-build-personally-trainable-summary.md","River AI Raises $1.1B to Build Personally Trainable AI Agents",{"provider":7,"model":8,"input_tokens":6654,"output_tokens":6655,"processing_time_ms":6656,"cost_usd":6657},5845,442,2193,0.00212425,{"type":14,"value":6659,"toc":6697},[6660,6664,6667,6671,6674,6677],[17,6661,6663],{"id":6662},"rebuilding-the-ai-stack-for-personal-ownership","Rebuilding the AI Stack for Personal Ownership",[22,6665,6666],{},"River AI, a startup founded by xAI co-founder Igor Babuschkin, has raised $1.1 billion in a seed\u002FSeries A round led by General Catalyst and AMP PBC. The company aims to shift the AI paradigm from \"human worker replacement\" models toward \"personally trainable assistants.\" Babuschkin argues that the current industry trajectory requires an end-to-end rebuild of the stack—encompassing training, models, the product layer, and specialized hardware—to ensure AI agents act as private, dedicated \"guardian angels\" rather than generic tools.",[17,6668,6670],{"id":6669},"moving-beyond-prompt-engineering","Moving Beyond Prompt Engineering",[22,6672,6673],{},"The company’s core technical thesis is that prompt engineering is a suboptimal way to interact with AI because it relies on steering models that the user neither owns nor can truly improve. To solve this, River AI provides an API that allows developers to perform reinforcement learning (RL) and low-rank adaptation (LoRA) fine-tuning on open-source models.",[22,6675,6676],{},"Key technical claims include:",[39,6678,6679,6685,6691],{},[42,6680,6681,6684],{},[45,6682,6683],{},"Efficiency:"," Enterprises can complete complex reinforcement learning runs in 15 to 20 minutes without a dedicated infrastructure team.",[42,6686,6687,6690],{},[45,6688,6689],{},"Cost:"," The platform claims to offer two to four times the cost savings compared to closed-source alternatives.",[42,6692,6693,6696],{},[45,6694,6695],{},"Accessibility:"," By enabling users to train models into ones that are \"truly theirs,\" River seeks to provide a more permanent and controllable alternative to standard prompt-based interactions.",{"title":72,"searchDepth":73,"depth":73,"links":6698},[6699,6700],{"id":6662,"depth":73,"text":6663},{"id":6669,"depth":73,"text":6670},[79],{"content_references":6703,"triage":6707},[6704],{"type":86,"title":6705,"url":6706,"context":94},"River AI API","https:\u002F\u002Friver.ai\u002Fapi",{"relevance":99,"novelty":100,"quality":99,"actionability":100,"composite":6708,"reasoning":6709},3.6,"Category: AI & LLMs. The article discusses River AI's approach to building personally trainable AI agents, which directly addresses the audience's interest in AI engineering and practical applications. It provides insights into the company's API for reinforcement learning and fine-tuning, which could be actionable for developers looking to implement similar features.","\u002Fsummaries\u002F4a3a16344e7faccb-river-ai-raises-1-1b-to-build-personally-trainable-summary","2026-08-11 17:41:22","2026-08-12 03:21:28",{"title":6652,"description":72},{"loc":6710},"4a3a16344e7faccb","TechCrunch — AI","article","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F08\u002F11\u002Fgeneral-catalyst-leads-1-1b-round-into-2-month-old-river-ai\u002F","summaries\u002F4a3a16344e7faccb-river-ai-raises-1-1b-to-build-personally-trainable-summary",[115,6721,116,117],"startups","River AI, founded by Igor Babuschkin, secured $1.1 billion to move beyond prompt engineering by enabling users to train their own open-source models for personal agent use.",[116,117],"bFsdUFUhcuMK3Ijy_a-RgkXbP0WLjub-9aPH-GVMruc",{"id":6726,"title":6727,"ai":6728,"body":6733,"categories":6775,"created_at":80,"date_modified":80,"description":72,"extension":81,"faq":80,"featured":82,"kicker_label":80,"meta":6776,"navigation":103,"path":6781,"published_at":6782,"question":80,"scraped_at":6782,"seo":6783,"sitemap":6784,"source_id":6785,"source_name":6786,"source_type":6717,"source_url":6787,"stem":6788,"tags":6789,"thumbnail_url":80,"tldr":6791,"tweet":80,"unknown_tags":6792,"__hash__":6793},"summaries\u002Fsummaries\u002F42301bcc08092f98-atod-hybrid-training-for-high-performance-ai-agent-summary.md","ATOD: Hybrid Training for High-Performance AI Agents",{"provider":7,"model":8,"input_tokens":6729,"output_tokens":6730,"processing_time_ms":6731,"cost_usd":6732},5992,562,3445,0.002341,{"type":14,"value":6734,"toc":6770},[6735,6739,6742,6746,6749,6763,6767],[17,6736,6738],{"id":6737},"the-hybrid-training-challenge","The Hybrid Training Challenge",[22,6740,6741],{},"Training small language-model agents for long-horizon tasks faces a fundamental trade-off between imitation learning and reinforcement learning (RL). On-policy distillation (OPD) provides dense, efficient guidance from a teacher model, leading to rapid early gains. However, this approach hits a performance ceiling once the student model mimics the teacher's behavior. Conversely, RL allows for exploration and improvement beyond the teacher's capabilities but suffers from sparse, delayed feedback, making early-stage training inefficient.",[17,6743,6745],{"id":6744},"the-atod-approach","The ATOD Approach",[22,6747,6748],{},"ATOD (Annealed Turn-aware On-policy Distillation) addresses this by integrating both methods into a unified pipeline. The algorithm employs two primary mechanisms:",[39,6750,6751,6757],{},[42,6752,6753,6756],{},[45,6754,6755],{},"Annealed OPD-RL Schedule:"," Instead of choosing one method, ATOD shifts the training focus over time. It starts with OPD to quickly align the student with the teacher's baseline behavior, then gradually transitions to RL. This allows the model to leverage teacher guidance for stability early on, while shifting to reward-driven exploration to surpass the teacher's performance later in the training process.",[42,6758,6759,6762],{},[45,6760,6761],{},"Turn-level Disagreement-Uncertainty Reweighting (T-DUR):"," To handle the complexity of long-horizon tasks, ATOD introduces T-DUR. This mechanism identifies and amplifies high-utility turns—moments where the student's actions are most critical or uncertain—ensuring the model receives dense, meaningful supervision throughout the entire trajectory rather than just at the final outcome.",[17,6764,6766],{"id":6765},"performance-gains","Performance Gains",[22,6768,6769],{},"Experimental results across benchmarks including ALFWorld, WebShop, and Search-QA demonstrate that ATOD consistently outperforms standard post-training baselines. Across various student model sizes, ATOD achieved an average success rate improvement of 3.03 points over traditional OPD and 23.62 points over GRPO. Notably, the method enabled student models to surpass their own teacher models by an average of 2.16 points, validating the effectiveness of the hybrid approach in breaking through the imitation ceiling.",{"title":72,"searchDepth":73,"depth":73,"links":6771},[6772,6773,6774],{"id":6737,"depth":73,"text":6738},{"id":6744,"depth":73,"text":6745},{"id":6765,"depth":73,"text":6766},[79],{"content_references":6777,"triage":6778},[],{"relevance":6632,"novelty":99,"quality":99,"actionability":100,"composite":6779,"reasoning":6780},4.15,"Category: AI & LLMs. The article presents a novel approach to training AI agents that combines imitation learning and reinforcement learning, addressing a specific pain point in AI model training. It provides experimental results that demonstrate the effectiveness of the ATOD method, making it relevant and actionable for developers looking to implement advanced training techniques.","\u002Fsummaries\u002F42301bcc08092f98-atod-hybrid-training-for-high-performance-ai-agent-summary","2026-06-29 12:57:30",{"title":6727,"description":72},{"loc":6781},"42301bcc08092f98","arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.27814","summaries\u002F42301bcc08092f98-atod-hybrid-training-for-high-performance-ai-agent-summary",[115,6790,116,117],"machine-learning","ATOD combines on-policy distillation with reinforcement learning to overcome the performance ceiling of imitation learning, using an annealed schedule and turn-level reweighting to improve long-horizon agent training.",[116,117],"GwB0Vj9zhSkCae7UhEiaVAbJyA6xeAB8vCXLNf5U2SY",{"id":6795,"title":6796,"ai":6797,"body":6803,"categories":6839,"created_at":80,"date_modified":80,"description":72,"extension":81,"faq":80,"featured":82,"kicker_label":80,"meta":6840,"navigation":103,"path":6844,"published_at":6845,"question":80,"scraped_at":6846,"seo":6847,"sitemap":6848,"source_id":6849,"source_name":6850,"source_type":6717,"source_url":6851,"stem":6852,"tags":6853,"thumbnail_url":80,"tldr":6854,"tweet":80,"unknown_tags":6855,"__hash__":6856},"summaries\u002Fsummaries\u002F55543ef036faeeae-agentic-ai-requires-embedded-compliance-and-adapti-summary.md","Agentic AI Requires Embedded Compliance and Adaptive Oversight",{"provider":7,"model":6798,"input_tokens":6799,"output_tokens":6800,"processing_time_ms":6801,"cost_usd":6802},"x-ai\u002Fgrok-4.1-fast",5905,1495,15603,0.001906,{"type":14,"value":6804,"toc":6833},[6805,6809,6812,6816,6819,6823,6826,6830],[17,6806,6808],{"id":6807},"agentic-ai-shifts-governance-from-tools-to-autonomous-actors","Agentic AI Shifts Governance from Tools to Autonomous Actors",[22,6810,6811],{},"Agentic AI differs from traditional systems by independently setting goals, making decisions, and executing actions, like a customer service agent that analyzes complaints, researches policies, coordinates departments, negotiates solutions, and authorizes refunds without humans. This autonomy delivers efficiency but exposes boards to uncharted compliance and risk territories. Traditional audits and workflows fail against AI taking thousands of daily actions across jurisdictions, demanding proactive adaptation to outpace regulatory lag.",[17,6813,6815],{"id":6814},"implement-embedded-compliance-to-prevent-violations","Implement Embedded Compliance to Prevent Violations",[22,6817,6818],{},"Build regulatory rules directly into AI design via real-time monitoring that flags violations pre-action, automated checks triggering human intervention, and full audit trails capturing every decision and rationale. Track regulatory updates from governments, associations, and intelligence providers to assess impacts swiftly, ensuring adaptability in uncertain environments. This prevents non-compliance in high-velocity operations where AI acts faster than human review, maintaining robust postures amid evolving rules.",[17,6820,6822],{"id":6821},"mitigate-emergent-risks-with-systemic-frameworks","Mitigate Emergent Risks with Systemic Frameworks",[22,6824,6825],{},"Agentic AI amplifies operational, reputational, financial, and emergent risks—unpredictable behaviors from AI-business-environment interactions—like cascading decisions rippling through supply chains and partners. Counter with real-time feedback, AI analytics for monitoring, rapid response teams, and adaptive governance spanning functions. Boards gain impact by understanding interconnections, setting AI principles defining values, risk tolerance, and boundaries, then overseeing full lifecycles: data governance, model development, testing, deployment, monitoring, and retirement.",[17,6827,6829],{"id":6828},"board-actions-for-effective-oversight","Board Actions for Effective Oversight",[22,6831,6832],{},"Elevate oversight with dedicated AI expertise via board composition, advisors, or education, enabling informed scrutiny of technical risks and rewards. Institute real-time feedback loops and escalation matrices for intervention. This dynamic approach, versus static models, positions boards to lead AI transformation, avoiding struggles with ungoverned systems. Act now on feedback systems to shape deployment trajectories proactively.",{"title":72,"searchDepth":73,"depth":73,"links":6834},[6835,6836,6837,6838],{"id":6807,"depth":73,"text":6808},{"id":6814,"depth":73,"text":6815},{"id":6821,"depth":73,"text":6822},{"id":6828,"depth":73,"text":6829},[],{"content_references":6841,"triage":6842},[],{"relevance":99,"novelty":100,"quality":99,"actionability":100,"composite":6708,"reasoning":6843},"Category: AI & LLMs. The article discusses the governance challenges posed by agentic AI, which directly relates to the audience's interest in AI integration and compliance. It provides insights into implementing embedded compliance and adaptive oversight, addressing specific pain points about managing AI risks, though it lacks detailed actionable steps for immediate implementation.","\u002Fsummaries\u002F55543ef036faeeae-agentic-ai-requires-embedded-compliance-and-adapti-summary","2025-07-17 13:19:05","2026-04-14 14:31:03",{"title":6796,"description":72},{"loc":6844},"55543ef036faeeae","__oneoff__","https:\u002F\u002Fwww.nacdonline.org\u002Fall-governance\u002Fgovernance-resources\u002Fdirectorship-magazine\u002Fonline-exclusives\u002F2025\u002Fq3-2025\u002Fautonomous-artificial-intelligence-oversight\u002F","summaries\u002F55543ef036faeeae-agentic-ai-requires-embedded-compliance-and-adapti-summary",[115,116],"Boards must shift to real-time embedded compliance, systemic risk monitoring, and lifecycle governance to handle autonomous agentic AI's compliance gaps and emergent risks before regulations catch up.",[116],"5K0TtDt_59AdhEEhLeOHkjHDjxrAm-NcA94MAZ-FkqM"]