[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-3ab4777dbaf8280b-sbco-self-supervised-verifier-grounded-harness-opt-summary":3,"summaries-facets-categories":102,"summary-related-3ab4777dbaf8280b-sbco-self-supervised-verifier-grounded-harness-opt-summary":6520},{"id":4,"title":5,"ai":6,"body":13,"categories":67,"created_at":69,"date_modified":69,"description":62,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":72,"navigation":85,"path":86,"published_at":87,"question":69,"scraped_at":87,"seo":88,"sitemap":89,"source_id":90,"source_name":91,"source_type":92,"source_url":77,"stem":93,"tags":94,"thumbnail_url":69,"tldr":99,"tweet":69,"unknown_tags":100,"__hash__":101},"summaries\u002Fsummaries\u002F3ab4777dbaf8280b-sbco-self-supervised-verifier-grounded-harness-opt-summary.md","SBCO: Self-Supervised Verifier-Grounded Harness Optimization",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",3997,533,3116,0.00179875,{"type":14,"value":15,"toc":61},"minimark",[16,21,25,29,32,35,58],[17,18,20],"h2",{"id":19},"the-challenge-of-agentic-planning","The Challenge of Agentic Planning",[22,23,24],"p",{},"Planning agents often struggle with long-horizon tasks where errors compound over time. Traditional methods for improving these agents frequently rely on massive amounts of human-annotated data or expensive reinforcement learning setups. The SBCO (Self-Supervised, Verifier-Grounded Harness Optimization) framework addresses this by creating a self-improving loop that relies on verifiers—automated systems capable of checking the correctness of an agent's intermediate steps—to guide the optimization process.",[17,26,28],{"id":27},"the-sbco-mechanism","The SBCO Mechanism",[22,30,31],{},"SBCO operates by grounding the agent's planning \"harness\" (the underlying structure that manages state and action selection) in feedback provided by a verifier. Instead of relying on external supervision, the agent generates trajectories, and the verifier evaluates them against task-specific constraints or success criteria.",[22,33,34],{},"Key components of the approach include:",[36,37,38,46,52],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"Self-Supervision:"," The agent uses its own successful trajectories to refine its internal model of the environment and task requirements.",[39,47,48,51],{},[42,49,50],{},"Verifier-Grounded Optimization:"," The verifier acts as a signal to prune ineffective search branches and prioritize paths that satisfy logical or functional requirements.",[39,53,54,57],{},[42,55,56],{},"Harness Refinement:"," By iteratively updating the planning harness based on verifier feedback, the agent becomes more robust at navigating complex decision spaces, effectively learning to \"self-correct\" before committing to a final action.",[22,59,60],{},"This approach shifts the burden from manual data collection to the design of effective verifiers, which are often easier to define for technical or logic-based tasks than full-path demonstrations.",{"title":62,"searchDepth":63,"depth":63,"links":64},"",2,[65,66],{"id":19,"depth":63,"text":20},{"id":27,"depth":63,"text":28},[68],"AI & LLMs",null,"md",false,{"content_references":73,"triage":79},[74],{"type":75,"title":76,"url":77,"context":78},"paper","SBCO: Self-Supervised, Verifier-Grounded Harness Optimization For Planning Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10157","cited",{"relevance":80,"novelty":81,"quality":81,"actionability":82,"composite":83,"reasoning":84},5,4,3,4.15,"Category: AI & LLMs. The article presents a novel framework (SBCO) for optimizing planning agents, which directly addresses the challenge of improving decision-making accuracy in AI systems, a core concern for product builders. It offers insights into self-supervised learning and verifier-grounded optimization, which can be applied in practical AI development, though it lacks detailed implementation steps.",true,"\u002Fsummaries\u002F3ab4777dbaf8280b-sbco-self-supervised-verifier-grounded-harness-opt-summary","2026-08-13 03:25:43",{"title":5,"description":62},{"loc":86},"3ab4777dbaf8280b","arXiv cs.AI","article","summaries\u002F3ab4777dbaf8280b-sbco-self-supervised-verifier-grounded-harness-opt-summary",[95,96,97,98],"agents","machine-learning","research","ai-llms","SBCO is a framework for optimizing planning agents by using self-supervised, verifier-grounded harness optimization to improve decision-making accuracy without requiring extensive human-labeled data.",[98],"96hhfkXzofp1eFzO0R1VlVSv2fVxWQqWCE1rMVAmYnc",[103,105,108,110,113,115,118,121,123,125,127,130,132,134,136,138,141,143,145,147,149,152,155,157,159,161,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,193,195,198,200,202,204,206,208,210,212,214,216,218,220,222,224,227,229,231,233,235,237,239,241,243,245,247,249,251,253,255,257,259,261,264,266,268,270,272,274,276,278,280,282,284,286,288,290,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,356,358,360,362,364,366,368,370,372,374,376,379,381,383,385,387,389,391,393,395,397,399,401,403,405,407,409,412,414,416,418,420,422,424,426,428,430,432,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,490,492,494,497,499,501,503,505,507,509,511,513,515,517,519,521,523,526,528,530,532,534,536,538,540,542,544,546,548,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,826,828,830,832,834,837,839,841,843,845,847,849,851,853,855,857,859,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518],{"categories":104},[68],{"categories":106},[107],"Developer Productivity",{"categories":109},[68],{"categories":111},[112],"Business & SaaS",{"categories":114},[68],{"categories":116},[117],"AI Automation",{"categories":119},[120],"Product Strategy",{"categories":122},[68],{"categories":124},[107],{"categories":126},[117],{"categories":128},[129],"Software Engineering",{"categories":131},[68],{"categories":133},[112],{"categories":135},[],{"categories":137},[68],{"categories":139},[140],"Inference & Serving",{"categories":142},[68],{"categories":144},[68],{"categories":146},[117],{"categories":148},[],{"categories":150},[151],"AI News & Trends",{"categories":153},[154],"Data Science & Visualization",{"categories":156},[117],{"categories":158},[68],{"categories":160},[68],{"categories":162},[112],{"categories":164},[107],{"categories":166},[68],{"categories":168},[117],{"categories":170},[151],{"categories":172},[117],{"categories":174},[117],{"categories":176},[68],{"categories":178},[117],{"categories":180},[68],{"categories":182},[68],{"categories":184},[68],{"categories":186},[151],{"categories":188},[68],{"categories":190},[68],{"categories":192},[68],{"categories":194},[],{"categories":196},[197],"Design & Frontend",{"categories":199},[154],{"categories":201},[151],{"categories":203},[68],{"categories":205},[68],{"categories":207},[68],{"categories":209},[],{"categories":211},[68],{"categories":213},[68],{"categories":215},[117],{"categories":217},[129],{"categories":219},[68],{"categories":221},[117],{"categories":223},[68],{"categories":225},[226],"Marketing & Growth",{"categories":228},[197],{"categories":230},[68],{"categories":232},[117],{"categories":234},[68],{"categories":236},[129],{"categories":238},[],{"categories":240},[],{"categories":242},[197],{"categories":244},[68],{"categories":246},[117],{"categories":248},[107],{"categories":250},[129],{"categories":252},[117],{"categories":254},[197],{"categories":256},[120],{"categories":258},[68],{"categories":260},[129],{"categories":262},[263],"DevOps & Cloud",{"categories":265},[117],{"categories":267},[120],{"categories":269},[151],{"categories":271},[68],{"categories":273},[],{"categories":275},[68],{"categories":277},[68],{"categories":279},[],{"categories":281},[117],{"categories":283},[129],{"categories":285},[],{"categories":287},[129],{"categories":289},[68],{"categories":291},[292],"Governance & Standards",{"categories":294},[112],{"categories":296},[],{"categories":298},[],{"categories":300},[68],{"categories":302},[68],{"categories":304},[117],{"categories":306},[68],{"categories":308},[68],{"categories":310},[117],{"categories":312},[68],{"categories":314},[68],{"categories":316},[68],{"categories":318},[],{"categories":320},[129],{"categories":322},[],{"categories":324},[],{"categories":326},[68],{"categories":328},[129],{"categories":330},[],{"categories":332},[129],{"categories":334},[68],{"categories":336},[68],{"categories":338},[226],{"categories":340},[68],{"categories":342},[68],{"categories":344},[197],{"categories":346},[197],{"categories":348},[68],{"categories":350},[129],{"categories":352},[117],{"categories":354},[355],"GovTech & Public-Sector Adoption",{"categories":357},[129],{"categories":359},[68],{"categories":361},[68],{"categories":363},[68],{"categories":365},[117],{"categories":367},[117],{"categories":369},[154],{"categories":371},[68],{"categories":373},[151],{"categories":375},[117],{"categories":377},[378],"Legal AI Tools",{"categories":380},[68],{"categories":382},[117],{"categories":384},[68],{"categories":386},[226],{"categories":388},[117],{"categories":390},[120],{"categories":392},[68],{"categories":394},[129],{"categories":396},[355],{"categories":398},[],{"categories":400},[117],{"categories":402},[],{"categories":404},[112],{"categories":406},[117],{"categories":408},[117],{"categories":410},[411],"RAG & Retrieval",{"categories":413},[112],{"categories":415},[68],{"categories":417},[129],{"categories":419},[129],{"categories":421},[263],{"categories":423},[197],{"categories":425},[117],{"categories":427},[68],{"categories":429},[68],{"categories":431},[],{"categories":433},[434],"Agents & Orchestration",{"categories":436},[129],{"categories":438},[68],{"categories":440},[],{"categories":442},[117],{"categories":444},[112],{"categories":446},[],{"categories":448},[68],{"categories":450},[],{"categories":452},[68],{"categories":454},[107],{"categories":456},[129],{"categories":458},[112],{"categories":460},[68],{"categories":462},[117],{"categories":464},[68],{"categories":466},[151],{"categories":468},[68],{"categories":470},[],{"categories":472},[68],{"categories":474},[],{"categories":476},[129],{"categories":478},[68],{"categories":480},[154],{"categories":482},[],{"categories":484},[68],{"categories":486},[197],{"categories":488},[489],"Models & Frontier Labs",{"categories":491},[],{"categories":493},[197],{"categories":495},[496],"Regulation & Governance of AI",{"categories":498},[117],{"categories":500},[],{"categories":502},[68],{"categories":504},[68],{"categories":506},[117],{"categories":508},[151],{"categories":510},[112],{"categories":512},[68],{"categories":514},[],{"categories":516},[129],{"categories":518},[117],{"categories":520},[68],{"categories":522},[120],{"categories":524},[525],"AI Policy & Regulation",{"categories":527},[],{"categories":529},[68],{"categories":531},[117],{"categories":533},[120],{"categories":535},[117],{"categories":537},[68],{"categories":539},[68],{"categories":541},[68],{"categories":543},[117],{"categories":545},[],{"categories":547},[154],{"categories":549},[550],"Evals & Reliability",{"categories":552},[68],{"categories":554},[68],{"categories":556},[],{"categories":558},[107],{"categories":560},[355],{"categories":562},[525],{"categories":564},[68],{"categories":566},[112],{"categories":568},[68],{"categories":570},[117],{"categories":572},[68],{"categories":574},[117],{"categories":576},[434],{"categories":578},[68],{"categories":580},[129],{"categories":582},[68],{"categories":584},[],{"categories":586},[],{"categories":588},[68],{"categories":590},[355],{"categories":592},[68],{"categories":594},[68],{"categories":596},[68],{"categories":598},[],{"categories":600},[197],{"categories":602},[],{"categories":604},[68],{"categories":606},[],{"categories":608},[117],{"categories":610},[68],{"categories":612},[197],{"categories":614},[],{"categories":616},[68],{"categories":618},[68],{"categories":620},[154],{"categories":622},[117],{"categories":624},[68],{"categories":626},[112],{"categories":628},[117],{"categories":630},[68],{"categories":632},[68],{"categories":634},[129],{"categories":636},[197],{"categories":638},[68],{"categories":640},[117],{"categories":642},[],{"categories":644},[129],{"categories":646},[117],{"categories":648},[154],{"categories":650},[],{"categories":652},[68],{"categories":654},[151],{"categories":656},[68],{"categories":658},[],{"categories":660},[68],{"categories":662},[68],{"categories":664},[68],{"categories":666},[112,226],{"categories":668},[],{"categories":670},[68],{"categories":672},[68],{"categories":674},[117],{"categories":676},[68],{"categories":678},[],{"categories":680},[],{"categories":682},[68],{"categories":684},[197],{"categories":686},[68],{"categories":688},[],{"categories":690},[68],{"categories":692},[263],{"categories":694},[],{"categories":696},[117],{"categories":698},[151],{"categories":700},[68],{"categories":702},[68],{"categories":704},[197],{"categories":706},[],{"categories":708},[151],{"categories":710},[68],{"categories":712},[140],{"categories":714},[68],{"categories":716},[68],{"categories":718},[117],{"categories":720},[151],{"categories":722},[489],{"categories":724},[68],{"categories":726},[226],{"categories":728},[],{"categories":730},[117],{"categories":732},[112],{"categories":734},[129],{"categories":736},[68],{"categories":738},[117],{"categories":740},[],{"categories":742},[68,263],{"categories":744},[68],{"categories":746},[68],{"categories":748},[68],{"categories":750},[117],{"categories":752},[68,129],{"categories":754},[154],{"categories":756},[68],{"categories":758},[68],{"categories":760},[129],{"categories":762},[68],{"categories":764},[117],{"categories":766},[525],{"categories":768},[226],{"categories":770},[68],{"categories":772},[117],{"categories":774},[68],{"categories":776},[68],{"categories":778},[117],{"categories":780},[],{"categories":782},[117],{"categories":784},[68],{"categories":786},[68],{"categories":788},[117],{"categories":790},[68],{"categories":792},[68,112],{"categories":794},[68],{"categories":796},[112],{"categories":798},[],{"categories":800},[197],{"categories":802},[197],{"categories":804},[68],{"categories":806},[],{"categories":808},[],{"categories":810},[68],{"categories":812},[151],{"categories":814},[],{"categories":816},[107],{"categories":818},[68],{"categories":820},[129],{"categories":822},[68],{"categories":824},[825],"Generative UI & Design-to-Code",{"categories":827},[68],{"categories":829},[68],{"categories":831},[197],{"categories":833},[68],{"categories":835},[836],"Algorithmic Accountability",{"categories":838},[117],{"categories":840},[129],{"categories":842},[151],{"categories":844},[197],{"categories":846},[68],{"categories":848},[],{"categories":850},[120],{"categories":852},[68],{"categories":854},[68],{"categories":856},[68],{"categories":858},[117],{"categories":860},[861],"MLOps & Infrastructure",{"categories":863},[68],{"categories":865},[68],{"categories":867},[68],{"categories":869},[68],{"categories":871},[68],{"categories":873},[151],{"categories":875},[120],{"categories":877},[107],{"categories":879},[68],{"categories":881},[117],{"categories":883},[263],{"categories":885},[68],{"categories":887},[112],{"categories":889},[68],{"categories":891},[197],{"categories":893},[68],{"categories":895},[68],{"categories":897},[117],{"categories":899},[],{"categories":901},[],{"categories":903},[68],{"categories":905},[140],{"categories":907},[197],{"categories":909},[151],{"categories":911},[154],{"categories":913},[],{"categories":915},[68],{"categories":917},[68],{"categories":919},[112],{"categories":921},[117],{"categories":923},[68],{"categories":925},[68],{"categories":927},[68],{"categories":929},[68],{"categories":931},[151],{"categories":933},[140],{"categories":935},[68],{"categories":937},[197],{"categories":939},[68],{"categories":941},[],{"categories":943},[117],{"categories":945},[129],{"categories":947},[],{"categories":949},[68],{"categories":951},[68],{"categories":953},[117],{"categories":955},[129],{"categories":957},[68],{"categories":959},[154],{"categories":961},[],{"categories":963},[68],{"categories":965},[],{"categories":967},[68],{"categories":969},[],{"categories":971},[120],{"categories":973},[112],{"categories":975},[117],{"categories":977},[117],{"categories":979},[],{"categories":981},[107],{"categories":983},[68],{"categories":985},[68],{"categories":987},[112],{"categories":989},[151],{"categories":991},[107],{"categories":993},[],{"categories":995},[68],{"categories":997},[],{"categories":999},[],{"categories":1001},[151],{"categories":1003},[151],{"categories":1005},[],{"categories":1007},[434],{"categories":1009},[68],{"categories":1011},[197],{"categories":1013},[129],{"categories":1015},[],{"categories":1017},[378],{"categories":1019},[117],{"categories":1021},[112],{"categories":1023},[],{"categories":1025},[],{"categories":1027},[107],{"categories":1029},[154],{"categories":1031},[],{"categories":1033},[226],{"categories":1035},[117],{"categories":1037},[112],{"categories":1039},[117],{"categories":1041},[112],{"categories":1043},[68],{"categories":1045},[129],{"categories":1047},[],{"categories":1049},[140],{"categories":1051},[120],{"categories":1053},[68],{"categories":1055},[197],{"categories":1057},[129],{"categories":1059},[112],{"categories":1061},[68],{"categories":1063},[117],{"categories":1065},[112],{"categories":1067},[68],{"categories":1069},[68],{"categories":1071},[68],{"categories":1073},[68],{"categories":1075},[68],{"categories":1077},[],{"categories":1079},[],{"categories":1081},[129],{"categories":1083},[154],{"categories":1085},[120],{"categories":1087},[68],{"categories":1089},[117],{"categories":1091},[129],{"categories":1093},[68],{"categories":1095},[],{"categories":1097},[151],{"categories":1099},[120],{"categories":1101},[129],{"categories":1103},[68],{"categories":1105},[550],{"categories":1107},[263],{"categories":1109},[],{"categories":1111},[117],{"categories":1113},[68],{"categories":1115},[],{"categories":1117},[107],{"categories":1119},[],{"categories":1121},[68],{"categories":1123},[68],{"categories":1125},[68],{"categories":1127},[197],{"categories":1129},[226],{"categories":1131},[68],{"categories":1133},[129],{"categories":1135},[68],{"categories":1137},[117],{"categories":1139},[],{"categories":1141},[129],{"categories":1143},[68],{"categories":1145},[107],{"categories":1147},[],{"categories":1149},[112],{"categories":1151},[68],{"categories":1153},[151],{"categories":1155},[68,263],{"categories":1157},[68],{"categories":1159},[1160],"Design Systems for AI",{"categories":1162},[68],{"categories":1164},[68],{"categories":1166},[151],{"categories":1168},[68],{"categories":1170},[68],{"categories":1172},[68],{"categories":1174},[112],{"categories":1176},[68],{"categories":1178},[68],{"categories":1180},[68],{"categories":1182},[],{"categories":1184},[68],{"categories":1186},[68],{"categories":1188},[112],{"categories":1190},[68],{"categories":1192},[],{"categories":1194},[117],{"categories":1196},[129],{"categories":1198},[151],{"categories":1200},[129],{"categories":1202},[68],{"categories":1204},[197],{"categories":1206},[151],{"categories":1208},[154],{"categories":1210},[68],{"categories":1212},[68],{"categories":1214},[117],{"categories":1216},[107],{"categories":1218},[525],{"categories":1220},[68],{"categories":1222},[117],{"categories":1224},[68],{"categories":1226},[129],{"categories":1228},[129],{"categories":1230},[],{"categories":1232},[],{"categories":1234},[117],{"categories":1236},[120],{"categories":1238},[],{"categories":1240},[112],{"categories":1242},[68],{"categories":1244},[],{"categories":1246},[197],{"categories":1248},[117],{"categories":1250},[129],{"categories":1252},[197],{"categories":1254},[68],{"categories":1256},[68],{"categories":1258},[197],{"categories":1260},[],{"categories":1262},[],{"categories":1264},[151],{"categories":1266},[117],{"categories":1268},[117],{"categories":1270},[68],{"categories":1272},[68],{"categories":1274},[68],{"categories":1276},[68],{"categories":1278},[112],{"categories":1280},[68],{"categories":1282},[68],{"categories":1284},[],{"categories":1286},[129],{"categories":1288},[129],{"categories":1290},[68],{"categories":1292},[129],{"categories":1294},[112],{"categories":1296},[],{"categories":1298},[68],{"categories":1300},[68],{"categories":1302},[68],{"categories":1304},[68],{"categories":1306},[68],{"categories":1308},[117],{"categories":1310},[107],{"categories":1312},[112],{"categories":1314},[68],{"categories":1316},[117],{"categories":1318},[151],{"categories":1320},[117],{"categories":1322},[140],{"categories":1324},[226],{"categories":1326},[68],{"categories":1328},[117],{"categories":1330},[68],{"categories":1332},[68],{"categories":1334},[],{"categories":1336},[197],{"categories":1338},[],{"categories":1340},[68],{"categories":1342},[68],{"categories":1344},[],{"categories":1346},[129],{"categories":1348},[112],{"categories":1350},[1351],"Visual & Generative Media",{"categories":1353},[117],{"categories":1355},[],{"categories":1357},[68],{"categories":1359},[68],{"categories":1361},[129],{"categories":1363},[263],{"categories":1365},[154],{"categories":1367},[525],{"categories":1369},[129],{"categories":1371},[226],{"categories":1373},[68],{"categories":1375},[197],{"categories":1377},[68],{"categories":1379},[68],{"categories":1381},[129],{"categories":1383},[117],{"categories":1385},[68],{"categories":1387},[],{"categories":1389},[],{"categories":1391},[117],{"categories":1393},[129],{"categories":1395},[107],{"categories":1397},[117],{"categories":1399},[489],{"categories":1401},[68],{"categories":1403},[120],{"categories":1405},[68],{"categories":1407},[112],{"categories":1409},[],{"categories":1411},[68],{"categories":1413},[120],{"categories":1415},[68],{"categories":1417},[68],{"categories":1419},[68],{"categories":1421},[120],{"categories":1423},[68],{"categories":1425},[68],{"categories":1427},[226],{"categories":1429},[68],{"categories":1431},[434],{"categories":1433},[68],{"categories":1435},[117],{"categories":1437},[68],{"categories":1439},[68],{"categories":1441},[68],{"categories":1443},[68],{"categories":1445},[197],{"categories":1447},[117],{"categories":1449},[],{"categories":1451},[117],{"categories":1453},[],{"categories":1455},[263],{"categories":1457},[129],{"categories":1459},[],{"categories":1461},[489],{"categories":1463},[68],{"categories":1465},[117],{"categories":1467},[68],{"categories":1469},[197,68],{"categories":1471},[107],{"categories":1473},[68],{"categories":1475},[197],{"categories":1477},[],{"categories":1479},[68],{"categories":1481},[107],{"categories":1483},[1484],"Medical Imaging & Radiology",{"categories":1486},[68],{"categories":1488},[197],{"categories":1490},[117],{"categories":1492},[129],{"categories":1494},[],{"categories":1496},[68],{"categories":1498},[68],{"categories":1500},[68],{"categories":1502},[],{"categories":1504},[],{"categories":1506},[68],{"categories":1508},[434],{"categories":1510},[68],{"categories":1512},[107],{"categories":1514},[68],{"categories":1516},[68],{"categories":1518},[],{"categories":1520},[117],{"categories":1522},[68],{"categories":1524},[120],{"categories":1526},[129],{"categories":1528},[68],{"categories":1530},[434],{"categories":1532},[68],{"categories":1534},[117],{"categories":1536},[68],{"categories":1538},[68],{"categories":1540},[68],{"categories":1542},[197],{"categories":1544},[117],{"categories":1546},[263],{"categories":1548},[197],{"categories":1550},[112],{"categories":1552},[117],{"categories":1554},[151],{"categories":1556},[68],{"categories":1558},[68],{"categories":1560},[120],{"categories":1562},[68],{"categories":1564},[68],{"categories":1566},[68],{"categories":1568},[117],{"categories":1570},[129],{"categories":1572},[129],{"categories":1574},[68],{"categories":1576},[120],{"categories":1578},[],{"categories":1580},[151],{"categories":1582},[],{"categories":1584},[120],{"categories":1586},[117],{"categories":1588},[68],{"categories":1590},[117],{"categories":1592},[1160],{"categories":1594},[1160],{"categories":1596},[197],{"categories":1598},[68],{"categories":1600},[68],{"categories":1602},[117],{"categories":1604},[129],{"categories":1606},[197],{"categories":1608},[117],{"categories":1610},[151],{"categories":1612},[],{"categories":1614},[68],{"categories":1616},[],{"categories":1618},[68],{"categories":1620},[68],{"categories":1622},[68],{"categories":1624},[68],{"categories":1626},[117],{"categories":1628},[1629],"Contract Review & E-Discovery",{"categories":1631},[68],{"categories":1633},[197],{"categories":1635},[68],{"categories":1637},[107],{"categories":1639},[68],{"categories":1641},[151],{"categories":1643},[68],{"categories":1645},[68],{"categories":1647},[226],{"categories":1649},[129],{"categories":1651},[68],{"categories":1653},[68],{"categories":1655},[117],{"categories":1657},[117],{"categories":1659},[836],{"categories":1661},[68],{"categories":1663},[68],{"categories":1665},[117],{"categories":1667},[117],{"categories":1669},[68],{"categories":1671},[68],{"categories":1673},[117],{"categories":1675},[68],{"categories":1677},[68],{"categories":1679},[434],{"categories":1681},[411],{"categories":1683},[68],{"categories":1685},[117],{"categories":1687},[68],{"categories":1689},[1690],"Law-Firm Practice & Adoption",{"categories":1692},[68],{"categories":1694},[117],{"categories":1696},[197],{"categories":1698},[68],{"categories":1700},[68],{"categories":1702},[68],{"categories":1704},[],{"categories":1706},[],{"categories":1708},[129],{"categories":1710},[68],{"categories":1712},[],{"categories":1714},[117],{"categories":1716},[107],{"categories":1718},[263],{"categories":1720},[68],{"categories":1722},[],{"categories":1724},[107],{"categories":1726},[112],{"categories":1728},[68],{"categories":1730},[226],{"categories":1732},[],{"categories":1734},[112],{"categories":1736},[112],{"categories":1738},[],{"categories":1740},[68],{"categories":1742},[120],{"categories":1744},[68],{"categories":1746},[129],{"categories":1748},[],{"categories":1750},[],{"categories":1752},[],{"categories":1754},[],{"categories":1756},[68],{"categories":1758},[117],{"categories":1760},[263],{"categories":1762},[68],{"categories":1764},[107],{"categories":1766},[129],{"categories":1768},[68],{"categories":1770},[68],{"categories":1772},[129],{"categories":1774},[120],{"categories":1776},[68],{"categories":1778},[68],{"categories":1780},[68],{"categories":1782},[861],{"categories":1784},[68],{"categories":1786},[68],{"categories":1788},[226],{"categories":1790},[129],{"categories":1792},[112],{"categories":1794},[68],{"categories":1796},[68],{"categories":1798},[197],{"categories":1800},[68],{"categories":1802},[68],{"categories":1804},[68],{"categories":1806},[68],{"categories":1808},[117],{"categories":1810},[68,107],{"categories":1812},[434],{"categories":1814},[68],{"categories":1816},[68],{"categories":1818},[129],{"categories":1820},[129],{"categories":1822},[197],{"categories":1824},[117],{"categories":1826},[129],{"categories":1828},[68],{"categories":1830},[68],{"categories":1832},[],{"categories":1834},[],{"categories":1836},[68],{"categories":1838},[117],{"categories":1840},[],{"categories":1842},[68],{"categories":1844},[129],{"categories":1846},[154],{"categories":1848},[151],{"categories":1850},[197],{"categories":1852},[68],{"categories":1854},[68],{"categories":1856},[129],{"categories":1858},[],{"categories":1860},[117],{"categories":1862},[68],{"categories":1864},[68],{"categories":1866},[68],{"categories":1868},[68],{"categories":1870},[],{"categories":1872},[117],{"categories":1874},[68],{"categories":1876},[68],{"categories":1878},[],{"categories":1880},[117],{"categories":1882},[68],{"categories":1884},[68],{"categories":1886},[112],{"categories":1888},[68],{"categories":1890},[68],{"categories":1892},[],{"categories":1894},[107],{"categories":1896},[68],{"categories":1898},[68],{"categories":1900},[197],{"categories":1902},[129],{"categories":1904},[68],{"categories":1906},[107],{"categories":1908},[68],{"categories":1910},[129],{"categories":1912},[226],{"categories":1914},[117],{"categories":1916},[117],{"categories":1918},[68],{"categories":1920},[68],{"categories":1922},[68,197],{"categories":1924},[68],{"categories":1926},[117],{"categories":1928},[151],{"categories":1930},[68],{"categories":1932},[151],{"categories":1934},[117],{"categories":1936},[197],{"categories":1938},[68],{"categories":1940},[],{"categories":1942},[129],{"categories":1944},[263],{"categories":1946},[197],{"categories":1948},[129],{"categories":1950},[68],{"categories":1952},[120],{"categories":1954},[68],{"categories":1956},[68],{"categories":1958},[117],{"categories":1960},[],{"categories":1962},[],{"categories":1964},[68],{"categories":1966},[],{"categories":1968},[],{"categories":1970},[120],{"categories":1972},[129],{"categories":1974},[68],{"categories":1976},[117],{"categories":1978},[117],{"categories":1980},[112],{"categories":1982},[117],{"categories":1984},[263],{"categories":1986},[68],{"categories":1988},[68],{"categories":1990},[68],{"categories":1992},[140],{"categories":1994},[68],{"categories":1996},[68],{"categories":1998},[129],{"categories":2000},[117],{"categories":2002},[68],{"categories":2004},[68],{"categories":2006},[378],{"categories":2008},[836],{"categories":2010},[],{"categories":2012},[197],{"categories":2014},[1690],{"categories":2016},[129],{"categories":2018},[],{"categories":2020},[],{"categories":2022},[117],{"categories":2024},[],{"categories":2026},[],{"categories":2028},[68],{"categories":2030},[226],{"categories":2032},[68],{"categories":2034},[226],{"categories":2036},[117],{"categories":2038},[68],{"categories":2040},[129],{"categories":2042},[120],{"categories":2044},[],{"categories":2046},[68],{"categories":2048},[68],{"categories":2050},[129],{"categories":2052},[1629],{"categories":2054},[197],{"categories":2056},[197],{"categories":2058},[68],{"categories":2060},[117],{"categories":2062},[107],{"categories":2064},[68],{"categories":2066},[68],{"categories":2068},[68],{"categories":2070},[197],{"categories":2072},[197],{"categories":2074},[117],{"categories":2076},[117],{"categories":2078},[117],{"categories":2080},[68],{"categories":2082},[68],{"categories":2084},[],{"categories":2086},[68],{"categories":2088},[],{"categories":2090},[2091],"Interaction & Product Design",{"categories":2093},[68],{"categories":2095},[117],{"categories":2097},[129],{"categories":2099},[292],{"categories":2101},[151],{"categories":2103},[129],{"categories":2105},[68],{"categories":2107},[68],{"categories":2109},[129],{"categories":2111},[107],{"categories":2113},[117],{"categories":2115},[68],{"categories":2117},[],{"categories":2119},[117],{"categories":2121},[117],{"categories":2123},[],{"categories":2125},[129],{"categories":2127},[68],{"categories":2129},[107],{"categories":2131},[2091],{"categories":2133},[68],{"categories":2135},[107],{"categories":2137},[107],{"categories":2139},[],{"categories":2141},[117],{"categories":2143},[129],{"categories":2145},[],{"categories":2147},[117],{"categories":2149},[151],{"categories":2151},[68],{"categories":2153},[117],{"categories":2155},[68],{"categories":2157},[117],{"categories":2159},[68],{"categories":2161},[68],{"categories":2163},[151],{"categories":2165},[154],{"categories":2167},[68],{"categories":2169},[120],{"categories":2171},[129],{"categories":2173},[2174],"Coding Agents & Dev Productivity",{"categories":2176},[151],{"categories":2178},[197],{"categories":2180},[68],{"categories":2182},[68],{"categories":2184},[],{"categories":2186},[68],{"categories":2188},[836],{"categories":2190},[],{"categories":2192},[68],{"categories":2194},[263],{"categories":2196},[68],{"categories":2198},[151],{"categories":2200},[],{"categories":2202},[],{"categories":2204},[68],{"categories":2206},[],{"categories":2208},[117],{"categories":2210},[68],{"categories":2212},[],{"categories":2214},[129],{"categories":2216},[129],{"categories":2218},[68],{"categories":2220},[154],{"categories":2222},[],{"categories":2224},[68],{"categories":2226},[68],{"categories":2228},[68],{"categories":2230},[154],{"categories":2232},[129],{"categories":2234},[117],{"categories":2236},[],{"categories":2238},[],{"categories":2240},[68],{"categories":2242},[68],{"categories":2244},[117],{"categories":2246},[117],{"categories":2248},[355],{"categories":2250},[129],{"categories":2252},[129],{"categories":2254},[117],{"categories":2256},[151],{"categories":2258},[151],{"categories":2260},[117],{"categories":2262},[117],{"categories":2264},[68],{"categories":2266},[107],{"categories":2268},[2091],{"categories":2270},[68,263],{"categories":2272},[154],{"categories":2274},[],{"categories":2276},[197],{"categories":2278},[129],{"categories":2280},[107],{"categories":2282},[68],{"categories":2284},[117],{"categories":2286},[2287],"The Designer's Role & Craft",{"categories":2289},[197],{"categories":2291},[],{"categories":2293},[117],{"categories":2295},[68],{"categories":2297},[117],{"categories":2299},[117],{"categories":2301},[68],{"categories":2303},[226],{"categories":2305},[68],{"categories":2307},[129],{"categories":2309},[68],{"categories":2311},[197],{"categories":2313},[68],{"categories":2315},[],{"categories":2317},[117],{"categories":2319},[197],{"categories":2321},[68],{"categories":2323},[68],{"categories":2325},[68],{"categories":2327},[2328],"AI UX Patterns",{"categories":2330},[117],{"categories":2332},[117],{"categories":2334},[117],{"categories":2336},[117],{"categories":2338},[226],{"categories":2340},[154],{"categories":2342},[68],{"categories":2344},[117],{"categories":2346},[68],{"categories":2348},[1160],{"categories":2350},[],{"categories":2352},[226],{"categories":2354},[117],{"categories":2356},[151],{"categories":2358},[129],{"categories":2360},[68],{"categories":2362},[117],{"categories":2364},[],{"categories":2366},[],{"categories":2368},[68],{"categories":2370},[117],{"categories":2372},[68],{"categories":2374},[117],{"categories":2376},[355],{"categories":2378},[197],{"categories":2380},[68],{"categories":2382},[151],{"categories":2384},[129],{"categories":2386},[68],{"categories":2388},[117],{"categories":2390},[117],{"categories":2392},[],{"categories":2394},[68],{"categories":2396},[],{"categories":2398},[],{"categories":2400},[68],{"categories":2402},[68],{"categories":2404},[68],{"categories":2406},[117],{"categories":2408},[129],{"categories":2410},[],{"categories":2412},[],{"categories":2414},[154],{"categories":2416},[140],{"categories":2418},[68],{"categories":2420},[68],{"categories":2422},[154],{"categories":2424},[68],{"categories":2426},[151],{"categories":2428},[68],{"categories":2430},[68],{"categories":2432},[68],{"categories":2434},[117],{"categories":2436},[68],{"categories":2438},[117],{"categories":2440},[68],{"categories":2442},[68],{"categories":2444},[117],{"categories":2446},[],{"categories":2448},[],{"categories":2450},[68],{"categories":2452},[263],{"categories":2454},[68],{"categories":2456},[],{"categories":2458},[],{"categories":2460},[197],{"categories":2462},[861],{"categories":2464},[117],{"categories":2466},[107],{"categories":2468},[2287],{"categories":2470},[],{"categories":2472},[],{"categories":2474},[68],{"categories":2476},[],{"categories":2478},[],{"categories":2480},[129],{"categories":2482},[151],{"categories":2484},[226],{"categories":2486},[112],{"categories":2488},[68],{"categories":2490},[68],{"categories":2492},[112],{"categories":2494},[],{"categories":2496},[197],{"categories":2498},[120],{"categories":2500},[68],{"categories":2502},[68],{"categories":2504},[117],{"categories":2506},[112],{"categories":2508},[68],{"categories":2510},[68],{"categories":2512},[107],{"categories":2514},[68],{"categories":2516},[],{"categories":2518},[107],{"categories":2520},[68],{"categories":2522},[226],{"categories":2524},[117],{"categories":2526},[151],{"categories":2528},[68],{"categories":2530},[129],{"categories":2532},[68],{"categories":2534},[68],{"categories":2536},[112],{"categories":2538},[68],{"categories":2540},[68],{"categories":2542},[68],{"categories":2544},[117],{"categories":2546},[],{"categories":2548},[68],{"categories":2550},[129],{"categories":2552},[107],{"categories":2554},[68],{"categories":2556},[68],{"categories":2558},[68],{"categories":2560},[],{"categories":2562},[68],{"categories":2564},[434],{"categories":2566},[117],{"categories":2568},[112],{"categories":2570},[151],{"categories":2572},[68],{"categories":2574},[68],{"categories":2576},[],{"categories":2578},[112],{"categories":2580},[112],{"categories":2582},[68],{"categories":2584},[68],{"categories":2586},[120],{"categories":2588},[68],{"categories":2590},[68],{"categories":2592},[68],{"categories":2594},[68],{"categories":2596},[129],{"categories":2598},[129],{"categories":2600},[68],{"categories":2602},[],{"categories":2604},[129],{"categories":2606},[68],{"categories":2608},[129],{"categories":2610},[117],{"categories":2612},[525],{"categories":2614},[],{"categories":2616},[],{"categories":2618},[68],{"categories":2620},[151],{"categories":2622},[],{"categories":2624},[263],{"categories":2626},[68],{"categories":2628},[68],{"categories":2630},[197],{"categories":2632},[825],{"categories":2634},[],{"categories":2636},[68],{"categories":2638},[68],{"categories":2640},[68],{"categories":2642},[129],{"categories":2644},[68],{"categories":2646},[68],{"categories":2648},[68,263],{"categories":2650},[68],{"categories":2652},[68],{"categories":2654},[197],{"categories":2656},[117],{"categories":2658},[],{"categories":2660},[117],{"categories":2662},[117],{"categories":2664},[68],{"categories":2666},[68],{"categories":2668},[68],{"categories":2670},[68],{"categories":2672},[154],{"categories":2674},[68],{"categories":2676},[2328],{"categories":2678},[107],{"categories":2680},[154],{"categories":2682},[107],{"categories":2684},[129],{"categories":2686},[197],{"categories":2688},[117],{"categories":2690},[68],{"categories":2692},[],{"categories":2694},[112],{"categories":2696},[68],{"categories":2698},[68],{"categories":2700},[151],{"categories":2702},[68],{"categories":2704},[68],{"categories":2706},[117],{"categories":2708},[68],{"categories":2710},[68],{"categories":2712},[68],{"categories":2714},[112],{"categories":2716},[],{"categories":2718},[263],{"categories":2720},[68],{"categories":2722},[355],{"categories":2724},[197],{"categories":2726},[197],{"categories":2728},[129],{"categories":2730},[117],{"categories":2732},[68],{"categories":2734},[112],{"categories":2736},[151],{"categories":2738},[68],{"categories":2740},[68],{"categories":2742},[197],{"categories":2744},[117],{"categories":2746},[117],{"categories":2748},[68],{"categories":2750},[68],{"categories":2752},[489],{"categories":2754},[],{"categories":2756},[68],{"categories":2758},[68],{"categories":2760},[68],{"categories":2762},[],{"categories":2764},[],{"categories":2766},[68],{"categories":2768},[68],{"categories":2770},[117],{"categories":2772},[68],{"categories":2774},[68],{"categories":2776},[68],{"categories":2778},[129],{"categories":2780},[68],{"categories":2782},[68],{"categories":2784},[117],{"categories":2786},[68],{"categories":2788},[68],{"categories":2790},[68],{"categories":2792},[68],{"categories":2794},[68],{"categories":2796},[],{"categories":2798},[129],{"categories":2800},[154],{"categories":2802},[68],{"categories":2804},[117],{"categories":2806},[68],{"categories":2808},[],{"categories":2810},[],{"categories":2812},[68],{"categories":2814},[68],{"categories":2816},[68],{"categories":2818},[151],{"categories":2820},[154],{"categories":2822},[],{"categories":2824},[68],{"categories":2826},[197],{"categories":2828},[68],{"categories":2830},[263],{"categories":2832},[1690],{"categories":2834},[151],{"categories":2836},[129],{"categories":2838},[129],{"categories":2840},[129],{"categories":2842},[68],{"categories":2844},[68],{"categories":2846},[151],{"categories":2848},[151],{"categories":2850},[263],{"categories":2852},[117],{"categories":2854},[],{"categories":2856},[151],{"categories":2858},[68],{"categories":2860},[107],{"categories":2862},[129],{"categories":2864},[68],{"categories":2866},[151],{"categories":2868},[],{"categories":2870},[68],{"categories":2872},[129],{"categories":2874},[129],{"categories":2876},[154],{"categories":2878},[68],{"categories":2880},[151],{"categories":2882},[68],{"categories":2884},[129],{"categories":2886},[117],{"categories":2888},[151],{"categories":2890},[117],{"categories":2892},[263],{"categories":2894},[117],{"categories":2896},[68],{"categories":2898},[68],{"categories":2900},[68],{"categories":2902},[68],{"categories":2904},[129],{"categories":2906},[68],{"categories":2908},[],{"categories":2910},[117],{"categories":2912},[112],{"categories":2914},[129],{"categories":2916},[],{"categories":2918},[],{"categories":2920},[68],{"categories":2922},[117],{"categories":2924},[68],{"categories":2926},[68],{"categories":2928},[2929],"Frameworks & Tooling",{"categories":2931},[68],{"categories":2933},[68],{"categories":2935},[129],{"categories":2937},[68],{"categories":2939},[68],{"categories":2941},[],{"categories":2943},[154],{"categories":2945},[154],{"categories":2947},[107],{"categories":2949},[68],{"categories":2951},[117],{"categories":2953},[68],{"categories":2955},[197],{"categories":2957},[],{"categories":2959},[1690],{"categories":2961},[68],{"categories":2963},[129],{"categories":2965},[68],{"categories":2967},[263],{"categories":2969},[263],{"categories":2971},[],{"categories":2973},[117],{"categories":2975},[68],{"categories":2977},[151],{"categories":2979},[151],{"categories":2981},[68],{"categories":2983},[117],{"categories":2985},[],{"categories":2987},[197],{"categories":2989},[68],{"categories":2991},[68],{"categories":2993},[],{"categories":2995},[68],{"categories":2997},[117],{"categories":2999},[68],{"categories":3001},[68],{"categories":3003},[],{"categories":3005},[129],{"categories":3007},[68],{"categories":3009},[129],{"categories":3011},[263],{"categories":3013},[68],{"categories":3015},[68],{"categories":3017},[129],{"categories":3019},[112],{"categories":3021},[68],{"categories":3023},[1690],{"categories":3025},[],{"categories":3027},[117],{"categories":3029},[107],{"categories":3031},[68],{"categories":3033},[107],{"categories":3035},[68],{"categories":3037},[],{"categories":3039},[117],{"categories":3041},[68],{"categories":3043},[3044],"AI Design Tooling",{"categories":3046},[197],{"categories":3048},[68],{"categories":3050},[68],{"categories":3052},[129],{"categories":3054},[197],{"categories":3056},[68],{"categories":3058},[129],{"categories":3060},[151],{"categories":3062},[120],{"categories":3064},[129],{"categories":3066},[68],{"categories":3068},[68],{"categories":3070},[117],{"categories":3072},[68],{"categories":3074},[],{"categories":3076},[68],{"categories":3078},[68],{"categories":3080},[117],{"categories":3082},[68],{"categories":3084},[68],{"categories":3086},[68],{"categories":3088},[117],{"categories":3090},[],{"categories":3092},[117],{"categories":3094},[2929],{"categories":3096},[68],{"categories":3098},[68],{"categories":3100},[117],{"categories":3102},[117],{"categories":3104},[129],{"categories":3106},[129],{"categories":3108},[],{"categories":3110},[129],{"categories":3112},[68],{"categories":3114},[68],{"categories":3116},[117],{"categories":3118},[112],{"categories":3120},[68],{"categories":3122},[],{"categories":3124},[68],{"categories":3126},[68],{"categories":3128},[2091],{"categories":3130},[],{"categories":3132},[68],{"categories":3134},[68],{"categories":3136},[68],{"categories":3138},[68],{"categories":3140},[197],{"categories":3142},[68],{"categories":3144},[],{"categories":3146},[68],{"categories":3148},[68],{"categories":3150},[68],{"categories":3152},[226],{"categories":3154},[151],{"categories":3156},[68],{"categories":3158},[68],{"categories":3160},[1690],{"categories":3162},[107],{"categories":3164},[68],{"categories":3166},[68],{"categories":3168},[154],{"categories":3170},[68],{"categories":3172},[68],{"categories":3174},[151],{"categories":3176},[117],{"categories":3178},[],{"categories":3180},[68],{"categories":3182},[68],{"categories":3184},[197],{"categories":3186},[68],{"categories":3188},[226],{"categories":3190},[117],{"categories":3192},[68],{"categories":3194},[117],{"categories":3196},[],{"categories":3198},[],{"categories":3200},[],{"categories":3202},[107],{"categories":3204},[151],{"categories":3206},[117],{"categories":3208},[68],{"categories":3210},[68],{"categories":3212},[68],{"categories":3214},[68],{"categories":3216},[378],{"categories":3218},[197],{"categories":3220},[117],{"categories":3222},[68],{"categories":3224},[],{"categories":3226},[117],{"categories":3228},[117],{"categories":3230},[],{"categories":3232},[68],{"categories":3234},[117],{"categories":3236},[68],{"categories":3238},[],{"categories":3240},[68],{"categories":3242},[68],{"categories":3244},[151],{"categories":3246},[197],{"categories":3248},[117],{"categories":3250},[197],{"categories":3252},[117],{"categories":3254},[68],{"categories":3256},[112],{"categories":3258},[],{"categories":3260},[],{"categories":3262},[68],{"categories":3264},[68],{"categories":3266},[107],{"categories":3268},[117],{"categories":3270},[151],{"categories":3272},[],{"categories":3274},[197],{"categories":3276},[],{"categories":3278},[129],{"categories":3280},[68],{"categories":3282},[129],{"categories":3284},[197],{"categories":3286},[129],{"categories":3288},[68],{"categories":3290},[],{"categories":3292},[68],{"categories":3294},[68],{"categories":3296},[],{"categories":3298},[68],{"categories":3300},[226],{"categories":3302},[68],{"categories":3304},[263],{"categories":3306},[129],{"categories":3308},[68],{"categories":3310},[],{"categories":3312},[117],{"categories":3314},[68],{"categories":3316},[107],{"categories":3318},[489],{"categories":3320},[68],{"categories":3322},[117],{"categories":3324},[68],{"categories":3326},[117],{"categories":3328},[68],{"categories":3330},[68],{"categories":3332},[68],{"categories":3334},[],{"categories":3336},[68],{"categories":3338},[107],{"categories":3340},[68],{"categories":3342},[112],{"categories":3344},[129],{"categories":3346},[197],{"categories":3348},[],{"categories":3350},[68],{"categories":3352},[],{"categories":3354},[],{"categories":3356},[117],{"categories":3358},[68],{"categories":3360},[129],{"categories":3362},[197],{"categories":3364},[151],{"categories":3366},[68],{"categories":3368},[151],{"categories":3370},[117],{"categories":3372},[197],{"categories":3374},[68],{"categories":3376},[],{"categories":3378},[68],{"categories":3380},[140],{"categories":3382},[117],{"categories":3384},[197],{"categories":3386},[151],{"categories":3388},[112],{"categories":3390},[129],{"categories":3392},[68],{"categories":3394},[68],{"categories":3396},[151],{"categories":3398},[226],{"categories":3400},[],{"categories":3402},[],{"categories":3404},[154],{"categories":3406},[434],{"categories":3408},[68],{"categories":3410},[117],{"categories":3412},[68,129],{"categories":3414},[151],{"categories":3416},[68],{"categories":3418},[68],{"categories":3420},[68],{"categories":3422},[68],{"categories":3424},[117],{"categories":3426},[68],{"categories":3428},[117],{"categories":3430},[68],{"categories":3432},[68],{"categories":3434},[68],{"categories":3436},[],{"categories":3438},[68],{"categories":3440},[1160],{"categories":3442},[129],{"categories":3444},[197],{"categories":3446},[68],{"categories":3448},[68],{"categories":3450},[68],{"categories":3452},[154],{"categories":3454},[117],{"categories":3456},[226],{"categories":3458},[263],{"categories":3460},[],{"categories":3462},[68],{"categories":3464},[112],{"categories":3466},[117],{"categories":3468},[107],{"categories":3470},[117],{"categories":3472},[68],{"categories":3474},[117],{"categories":3476},[117],{"categories":3478},[120],{"categories":3480},[129],{"categories":3482},[68],{"categories":3484},[68],{"categories":3486},[],{"categories":3488},[],{"categories":3490},[],{"categories":3492},[263],{"categories":3494},[68],{"categories":3496},[151],{"categories":3498},[68],{"categories":3500},[68],{"categories":3502},[68],{"categories":3504},[68],{"categories":3506},[],{"categories":3508},[68],{"categories":3510},[154],{"categories":3512},[112],{"categories":3514},[117],{"categories":3516},[68],{"categories":3518},[],{"categories":3520},[68],{"categories":3522},[117],{"categories":3524},[68],{"categories":3526},[263],{"categories":3528},[],{"categories":3530},[197],{"categories":3532},[197],{"categories":3534},[],{"categories":3536},[129],{"categories":3538},[68],{"categories":3540},[197],{"categories":3542},[68],{"categories":3544},[112],{"categories":3546},[117],{"categories":3548},[68],{"categories":3550},[],{"categories":3552},[151],{"categories":3554},[68],{"categories":3556},[68],{"categories":3558},[68],{"categories":3560},[197],{"categories":3562},[117],{"categories":3564},[151],{"categories":3566},[],{"categories":3568},[117],{"categories":3570},[112],{"categories":3572},[117],{"categories":3574},[197],{"categories":3576},[68],{"categories":3578},[68],{"categories":3580},[68],{"categories":3582},[434],{"categories":3584},[68],{"categories":3586},[],{"categories":3588},[68],{"categories":3590},[68],{"categories":3592},[263],{"categories":3594},[151],{"categories":3596},[154],{"categories":3598},[525],{"categories":3600},[154],{"categories":3602},[68],{"categories":3604},[],{"categories":3606},[],{"categories":3608},[],{"categories":3610},[117],{"categories":3612},[117],{"categories":3614},[129],{"categories":3616},[68],{"categories":3618},[411],{"categories":3620},[129],{"categories":3622},[68],{"categories":3624},[68],{"categories":3626},[68],{"categories":3628},[68],{"categories":3630},[117],{"categories":3632},[],{"categories":3634},[],{"categories":3636},[68],{"categories":3638},[],{"categories":3640},[68],{"categories":3642},[117],{"categories":3644},[197],{"categories":3646},[68],{"categories":3648},[68],{"categories":3650},[],{"categories":3652},[117],{"categories":3654},[120],{"categories":3656},[68],{"categories":3658},[197],{"categories":3660},[68],{"categories":3662},[117],{"categories":3664},[112],{"categories":3666},[68],{"categories":3668},[226],{"categories":3670},[117],{"categories":3672},[68],{"categories":3674},[68],{"categories":3676},[825],{"categories":3678},[68],{"categories":3680},[117],{"categories":3682},[68],{"categories":3684},[129],{"categories":3686},[68],{"categories":3688},[489],{"categories":3690},[197],{"categories":3692},[],{"categories":3694},[68],{"categories":3696},[151],{"categories":3698},[434],{"categories":3700},[117],{"categories":3702},[68],{"categories":3704},[],{"categories":3706},[151],{"categories":3708},[355],{"categories":3710},[117],{"categories":3712},[117],{"categories":3714},[117],{"categories":3716},[68],{"categories":3718},[68],{"categories":3720},[117],{"categories":3722},[],{"categories":3724},[112],{"categories":3726},[68],{"categories":3728},[112],{"categories":3730},[117],{"categories":3732},[],{"categories":3734},[129],{"categories":3736},[68],{"categories":3738},[68],{"categories":3740},[107],{"categories":3742},[151],{"categories":3744},[263],{"categories":3746},[140],{"categories":3748},[117],{"categories":3750},[117],{"categories":3752},[68],{"categories":3754},[117],{"categories":3756},[68],{"categories":3758},[107],{"categories":3760},[],{"categories":3762},[68],{"categories":3764},[68],{"categories":3766},[68],{"categories":3768},[117],{"categories":3770},[68],{"categories":3772},[],{"categories":3774},[],{"categories":3776},[197],{"categories":3778},[117],{"categories":3780},[68,112],{"categories":3782},[117],{"categories":3784},[68],{"categories":3786},[],{"categories":3788},[107],{"categories":3790},[154],{"categories":3792},[112],{"categories":3794},[68],{"categories":3796},[129],{"categories":3798},[68],{"categories":3800},[68],{"categories":3802},[117],{"categories":3804},[68],{"categories":3806},[68],{"categories":3808},[68],{"categories":3810},[151],{"categories":3812},[1160],{"categories":3814},[117],{"categories":3816},[68],{"categories":3818},[],{"categories":3820},[],{"categories":3822},[68],{"categories":3824},[117],{"categories":3826},[68],{"categories":3828},[68],{"categories":3830},[263],{"categories":3832},[],{"categories":3834},[68],{"categories":3836},[117],{"categories":3838},[140],{"categories":3840},[117],{"categories":3842},[434],{"categories":3844},[],{"categories":3846},[378],{"categories":3848},[117],{"categories":3850},[68],{"categories":3852},[226],{"categories":3854},[117],{"categories":3856},[68],{"categories":3858},[154],{"categories":3860},[120],{"categories":3862},[117],{"categories":3864},[68],{"categories":3866},[434],{"categories":3868},[68],{"categories":3870},[263],{"categories":3872},[],{"categories":3874},[68],{"categories":3876},[226],{"categories":3878},[197],{"categories":3880},[68],{"categories":3882},[68],{"categories":3884},[68],{"categories":3886},[],{"categories":3888},[226],{"categories":3890},[151],{"categories":3892},[68],{"categories":3894},[68],{"categories":3896},[68],{"categories":3898},[525],{"categories":3900},[107],{"categories":3902},[68],{"categories":3904},[68],{"categories":3906},[],{"categories":3908},[],{"categories":3910},[197],{"categories":3912},[68],{"categories":3914},[154],{"categories":3916},[226],{"categories":3918},[117],{"categories":3920},[68],{"categories":3922},[68],{"categories":3924},[226],{"categories":3926},[151],{"categories":3928},[],{"categories":3930},[68],{"categories":3932},[68],{"categories":3934},[],{"categories":3936},[68],{"categories":3938},[68],{"categories":3940},[550],{"categories":3942},[68],{"categories":3944},[68],{"categories":3946},[117],{"categories":3948},[129],{"categories":3950},[434],{"categories":3952},[68],{"categories":3954},[68],{"categories":3956},[68],{"categories":3958},[],{"categories":3960},[68,129],{"categories":3962},[151],{"categories":3964},[117],{"categories":3966},[129],{"categories":3968},[117],{"categories":3970},[861],{"categories":3972},[129],{"categories":3974},[117],{"categories":3976},[68],{"categories":3978},[107],{"categories":3980},[],{"categories":3982},[],{"categories":3984},[117],{"categories":3986},[68],{"categories":3988},[129],{"categories":3990},[68],{"categories":3992},[107],{"categories":3994},[129],{"categories":3996},[129],{"categories":3998},[68],{"categories":4000},[226],{"categories":4002},[68],{"categories":4004},[129],{"categories":4006},[68],{"categories":4008},[],{"categories":4010},[68],{"categories":4012},[197,68],{"categories":4014},[263],{"categories":4016},[107],{"categories":4018},[68],{"categories":4020},[],{"categories":4022},[68],{"categories":4024},[68],{"categories":4026},[112],{"categories":4028},[68],{"categories":4030},[112],{"categories":4032},[68],{"categories":4034},[68],{"categories":4036},[355],{"categories":4038},[68],{"categories":4040},[112],{"categories":4042},[129],{"categories":4044},[154],{"categories":4046},[117],{"categories":4048},[129],{"categories":4050},[68],{"categories":4052},[68],{"categories":4054},[151],{"categories":4056},[226],{"categories":4058},[197],{"categories":4060},[68],{"categories":4062},[68],{"categories":4064},[68],{"categories":4066},[68],{"categories":4068},[107],{"categories":4070},[68],{"categories":4072},[117],{"categories":4074},[117],{"categories":4076},[129],{"categories":4078},[151],{"categories":4080},[129],{"categories":4082},[129],{"categories":4084},[68],{"categories":4086},[68],{"categories":4088},[],{"categories":4090},[],{"categories":4092},[154],{"categories":4094},[68],{"categories":4096},[129],{"categories":4098},[68],{"categories":4100},[197],{"categories":4102},[434],{"categories":4104},[378],{"categories":4106},[355],{"categories":4108},[68],{"categories":4110},[68],{"categories":4112},[68],{"categories":4114},[154],{"categories":4116},[68],{"categories":4118},[68],{"categories":4120},[68],{"categories":4122},[68],{"categories":4124},[68],{"categories":4126},[68],{"categories":4128},[117],{"categories":4130},[107],{"categories":4132},[117],{"categories":4134},[68,112],{"categories":4136},[],{"categories":4138},[197],{"categories":4140},[],{"categories":4142},[120],{"categories":4144},[68],{"categories":4146},[151],{"categories":4148},[107],{"categories":4150},[68],{"categories":4152},[107],{"categories":4154},[117],{"categories":4156},[154],{"categories":4158},[117],{"categories":4160},[117],{"categories":4162},[68],{"categories":4164},[68],{"categories":4166},[112],{"categories":4168},[117],{"categories":4170},[129],{"categories":4172},[226],{"categories":4174},[68],{"categories":4176},[],{"categories":4178},[151],{"categories":4180},[68],{"categories":4182},[68],{"categories":4184},[68],{"categories":4186},[68],{"categories":4188},[68],{"categories":4190},[68],{"categories":4192},[129],{"categories":4194},[151],{"categories":4196},[129],{"categories":4198},[129],{"categories":4200},[68],{"categories":4202},[68],{"categories":4204},[68],{"categories":4206},[378],{"categories":4208},[68],{"categories":4210},[117],{"categories":4212},[151],{"categories":4214},[68],{"categories":4216},[68],{"categories":4218},[68],{"categories":4220},[117],{"categories":4222},[68],{"categories":4224},[68],{"categories":4226},[68],{"categories":4228},[2929],{"categories":4230},[4231],"Clinical AI",{"categories":4233},[197],{"categories":4235},[68],{"categories":4237},[68],{"categories":4239},[68],{"categories":4241},[263],{"categories":4243},[2328],{"categories":4245},[68],{"categories":4247},[120],{"categories":4249},[68],{"categories":4251},[117],{"categories":4253},[68],{"categories":4255},[68],{"categories":4257},[151],{"categories":4259},[68],{"categories":4261},[117],{"categories":4263},[129],{"categories":4265},[226],{"categories":4267},[68],{"categories":4269},[68],{"categories":4271},[112],{"categories":4273},[68],{"categories":4275},[68],{"categories":4277},[489],{"categories":4279},[68],{"categories":4281},[],{"categories":4283},[68],{"categories":4285},[129],{"categories":4287},[107],{"categories":4289},[68],{"categories":4291},[],{"categories":4293},[],{"categories":4295},[68],{"categories":4297},[],{"categories":4299},[112],{"categories":4301},[68],{"categories":4303},[68],{"categories":4305},[117],{"categories":4307},[151],{"categories":4309},[151],{"categories":4311},[151],{"categories":4313},[151],{"categories":4315},[],{"categories":4317},[107],{"categories":4319},[117],{"categories":4321},[151],{"categories":4323},[68],{"categories":4325},[550],{"categories":4327},[120],{"categories":4329},[68],{"categories":4331},[107],{"categories":4333},[68],{"categories":4335},[117],{"categories":4337},[68],{"categories":4339},[68],{"categories":4341},[68,117],{"categories":4343},[117],{"categories":4345},[263],{"categories":4347},[151],{"categories":4349},[117],{"categories":4351},[151],{"categories":4353},[117],{"categories":4355},[68],{"categories":4357},[],{"categories":4359},[151],{"categories":4361},[226],{"categories":4363},[107],{"categories":4365},[68],{"categories":4367},[68],{"categories":4369},[],{"categories":4371},[129],{"categories":4373},[],{"categories":4375},[107],{"categories":4377},[117],{"categories":4379},[151],{"categories":4381},[68],{"categories":4383},[151],{"categories":4385},[107],{"categories":4387},[151],{"categories":4389},[151],{"categories":4391},[],{"categories":4393},[112],{"categories":4395},[117],{"categories":4397},[151],{"categories":4399},[151],{"categories":4401},[151],{"categories":4403},[151],{"categories":4405},[151],{"categories":4407},[151],{"categories":4409},[151],{"categories":4411},[151],{"categories":4413},[151],{"categories":4415},[151],{"categories":4417},[154],{"categories":4419},[107],{"categories":4421},[68],{"categories":4423},[68],{"categories":4425},[117],{"categories":4427},[117],{"categories":4429},[],{"categories":4431},[68],{"categories":4433},[68,107],{"categories":4435},[],{"categories":4437},[117],{"categories":4439},[68],{"categories":4441},[151],{"categories":4443},[117],{"categories":4445},[861],{"categories":4447},[68],{"categories":4449},[68],{"categories":4451},[68],{"categories":4453},[68],{"categories":4455},[68],{"categories":4457},[355],{"categories":4459},[68],{"categories":4461},[68],{"categories":4463},[117],{"categories":4465},[68],{"categories":4467},[112],{"categories":4469},[120],{"categories":4471},[117],{"categories":4473},[117],{"categories":4475},[],{"categories":4477},[117],{"categories":4479},[197],{"categories":4481},[151],{"categories":4483},[68],{"categories":4485},[],{"categories":4487},[120],{"categories":4489},[],{"categories":4491},[129],{"categories":4493},[117],{"categories":4495},[197],{"categories":4497},[68],{"categories":4499},[],{"categories":4501},[68],{"categories":4503},[],{"categories":4505},[226],{"categories":4507},[68],{"categories":4509},[],{"categories":4511},[],{"categories":4513},[151],{"categories":4515},[107],{"categories":4517},[68],{"categories":4519},[68],{"categories":4521},[112],{"categories":4523},[68],{"categories":4525},[68],{"categories":4527},[68],{"categories":4529},[112],{"categories":4531},[112],{"categories":4533},[197],{"categories":4535},[],{"categories":4537},[68],{"categories":4539},[151],{"categories":4541},[],{"categories":4543},[68],{"categories":4545},[68],{"categories":4547},[197],{"categories":4549},[68],{"categories":4551},[226],{"categories":4553},[68],{"categories":4555},[263],{"categories":4557},[],{"categories":4559},[117],{"categories":4561},[226],{"categories":4563},[129],{"categories":4565},[],{"categories":4567},[68],{"categories":4569},[],{"categories":4571},[117],{"categories":4573},[197],{"categories":4575},[129],{"categories":4577},[],{"categories":4579},[2929],{"categories":4581},[112],{"categories":4583},[107],{"categories":4585},[68],{"categories":4587},[154],{"categories":4589},[117],{"categories":4591},[197],{"categories":4593},[129],{"categories":4595},[],{"categories":4597},[],{"categories":4599},[68],{"categories":4601},[107],{"categories":4603},[68],{"categories":4605},[226],{"categories":4607},[],{"categories":4609},[117],{"categories":4611},[117],{"categories":4613},[68],{"categories":4615},[117],{"categories":4617},[68],{"categories":4619},[151],{"categories":4621},[129],{"categories":4623},[68],{"categories":4625},[117],{"categories":4627},[120],{"categories":4629},[68],{"categories":4631},[68],{"categories":4633},[117],{"categories":4635},[68],{"categories":4637},[120],{"categories":4639},[226],{"categories":4641},[151],{"categories":4643},[],{"categories":4645},[226],{"categories":4647},[68],{"categories":4649},[],{"categories":4651},[129],{"categories":4653},[117],{"categories":4655},[],{"categories":4657},[68],{"categories":4659},[68],{"categories":4661},[68],{"categories":4663},[68],{"categories":4665},[68],{"categories":4667},[117],{"categories":4669},[112],{"categories":4671},[107],{"categories":4673},[68],{"categories":4675},[197],{"categories":4677},[129],{"categories":4679},[129],{"categories":4681},[68],{"categories":4683},[154],{"categories":4685},[117],{"categories":4687},[68],{"categories":4689},[68],{"categories":4691},[117],{"categories":4693},[68],{"categories":4695},[112],{"categories":4697},[197],{"categories":4699},[129],{"categories":4701},[117],{"categories":4703},[68],{"categories":4705},[120],{"categories":4707},[68],{"categories":4709},[117],{"categories":4711},[68],{"categories":4713},[68],{"categories":4715},[151],{"categories":4717},[68],{"categories":4719},[],{"categories":4721},[107],{"categories":4723},[68],{"categories":4725},[68],{"categories":4727},[68],{"categories":4729},[129],{"categories":4731},[129],{"categories":4733},[68],{"categories":4735},[129],{"categories":4737},[68],{"categories":4739},[117],{"categories":4741},[68],{"categories":4743},[68],{"categories":4745},[68],{"categories":4747},[68],{"categories":4749},[68],{"categories":4751},[],{"categories":4753},[68],{"categories":4755},[197],{"categories":4757},[112],{"categories":4759},[151],{"categories":4761},[68],{"categories":4763},[117],{"categories":4765},[68],{"categories":4767},[117],{"categories":4769},[68],{"categories":4771},[68],{"categories":4773},[197],{"categories":4775},[117],{"categories":4777},[68],{"categories":4779},[226],{"categories":4781},[68],{"categories":4783},[154],{"categories":4785},[68],{"categories":4787},[68],{"categories":4789},[151],{"categories":4791},[68],{"categories":4793},[68],{"categories":4795},[68],{"categories":4797},[68],{"categories":4799},[117],{"categories":4801},[263],{"categories":4803},[68],{"categories":4805},[129],{"categories":4807},[117],{"categories":4809},[154],{"categories":4811},[],{"categories":4813},[117],{"categories":4815},[129],{"categories":4817},[68],{"categories":4819},[68],{"categories":4821},[2174],{"categories":4823},[197],{"categories":4825},[292],{"categories":4827},[68],{"categories":4829},[68],{"categories":4831},[68],{"categories":4833},[68],{"categories":4835},[107],{"categories":4837},[68],{"categories":4839},[68],{"categories":4841},[129],{"categories":4843},[112],{"categories":4845},[129],{"categories":4847},[68],{"categories":4849},[],{"categories":4851},[117],{"categories":4853},[117],{"categories":4855},[68],{"categories":4857},[68],{"categories":4859},[154],{"categories":4861},[],{"categories":4863},[151],{"categories":4865},[],{"categories":4867},[151],{"categories":4869},[68],{"categories":4871},[68],{"categories":4873},[117],{"categories":4875},[68],{"categories":4877},[117],{"categories":4879},[117],{"categories":4881},[],{"categories":4883},[151],{"categories":4885},[68],{"categories":4887},[],{"categories":4889},[68],{"categories":4891},[68],{"categories":4893},[],{"categories":4895},[68],{"categories":4897},[197],{"categories":4899},[129],{"categories":4901},[117],{"categories":4903},[68],{"categories":4905},[68],{"categories":4907},[68],{"categories":4909},[226],{"categories":4911},[68],{"categories":4913},[68],{"categories":4915},[68],{"categories":4917},[107],{"categories":4919},[68],{"categories":4921},[68],{"categories":4923},[],{"categories":4925},[68],{"categories":4927},[68],{"categories":4929},[],{"categories":4931},[107],{"categories":4933},[68],{"categories":4935},[151],{"categories":4937},[129],{"categories":4939},[120],{"categories":4941},[434],{"categories":4943},[68],{"categories":4945},[68],{"categories":4947},[68],{"categories":4949},[129],{"categories":4951},[151],{"categories":4953},[197],{"categories":4955},[68],{"categories":4957},[68],{"categories":4959},[68],{"categories":4961},[68],{"categories":4963},[151],{"categories":4965},[197],{"categories":4967},[68],{"categories":4969},[68],{"categories":4971},[151],{"categories":4973},[197],{"categories":4975},[68],{"categories":4977},[151],{"categories":4979},[68],{"categories":4981},[117],{"categories":4983},[117],{"categories":4985},[117],{"categories":4987},[129],{"categories":4989},[151],{"categories":4991},[117],{"categories":4993},[117],{"categories":4995},[68],{"categories":4997},[129],{"categories":4999},[197],{"categories":5001},[68],{"categories":5003},[68],{"categories":5005},[68],{"categories":5007},[],{"categories":5009},[117],{"categories":5011},[],{"categories":5013},[68],{"categories":5015},[68],{"categories":5017},[],{"categories":5019},[],{"categories":5021},[117],{"categories":5023},[112],{"categories":5025},[117],{"categories":5027},[5028],"Liability & Ethics",{"categories":5030},[68],{"categories":5032},[68],{"categories":5034},[117],{"categories":5036},[107],{"categories":5038},[117],{"categories":5040},[112],{"categories":5042},[226],{"categories":5044},[117],{"categories":5046},[68],{"categories":5048},[68],{"categories":5050},[],{"categories":5052},[525],{"categories":5054},[117],{"categories":5056},[],{"categories":5058},[68],{"categories":5060},[107],{"categories":5062},[117],{"categories":5064},[],{"categories":5066},[117],{"categories":5068},[68],{"categories":5070},[68],{"categories":5072},[129],{"categories":5074},[68],{"categories":5076},[151],{"categories":5078},[68],{"categories":5080},[68],{"categories":5082},[117],{"categories":5084},[68],{"categories":5086},[68],{"categories":5088},[68],{"categories":5090},[151],{"categories":5092},[117],{"categories":5094},[129],{"categories":5096},[197],{"categories":5098},[107],{"categories":5100},[68],{"categories":5102},[68],{"categories":5104},[],{"categories":5106},[117],{"categories":5108},[117],{"categories":5110},[117],{"categories":5112},[434],{"categories":5114},[197],{"categories":5116},[117],{"categories":5118},[263],{"categories":5120},[129],{"categories":5122},[151],{"categories":5124},[68],{"categories":5126},[197],{"categories":5128},[68],{"categories":5130},[107],{"categories":5132},[],{"categories":5134},[117],{"categories":5136},[68],{"categories":5138},[68],{"categories":5140},[68],{"categories":5142},[117],{"categories":5144},[68],{"categories":5146},[197],{"categories":5148},[],{"categories":5150},[117],{"categories":5152},[120],{"categories":5154},[151],{"categories":5156},[117],{"categories":5158},[112],{"categories":5160},[],{"categories":5162},[68],{"categories":5164},[68],{"categories":5166},[120],{"categories":5168},[68],{"categories":5170},[117],{"categories":5172},[151],{"categories":5174},[107],{"categories":5176},[263],{"categories":5178},[68],{"categories":5180},[68],{"categories":5182},[68],{"categories":5184},[151],{"categories":5186},[112],{"categories":5188},[68],{"categories":5190},[197],{"categories":5192},[151],{"categories":5194},[263],{"categories":5196},[68],{"categories":5198},[117],{"categories":5200},[],{"categories":5202},[489],{"categories":5204},[],{"categories":5206},[68],{"categories":5208},[263],{"categories":5210},[68],{"categories":5212},[154],{"categories":5214},[117],{"categories":5216},[117],{"categories":5218},[5219],"Design News & Tools",{"categories":5221},[68],{"categories":5223},[151],{"categories":5225},[68],{"categories":5227},[68],{"categories":5229},[107],{"categories":5231},[68],{"categories":5233},[197],{"categories":5235},[117],{"categories":5237},[117],{"categories":5239},[197],{"categories":5241},[68],{"categories":5243},[434],{"categories":5245},[117],{"categories":5247},[68],{"categories":5249},[68],{"categories":5251},[434],{"categories":5253},[68],{"categories":5255},[226],{"categories":5257},[68],{"categories":5259},[117],{"categories":5261},[],{"categories":5263},[68],{"categories":5265},[68],{"categories":5267},[68],{"categories":5269},[151],{"categories":5271},[107],{"categories":5273},[],{"categories":5275},[68],{"categories":5277},[68],{"categories":5279},[68],{"categories":5281},[129],{"categories":5283},[550],{"categories":5285},[129],{"categories":5287},[197],{"categories":5289},[68],{"categories":5291},[68,117],{"categories":5293},[226,112],{"categories":5295},[129],{"categories":5297},[68],{"categories":5299},[68],{"categories":5301},[68],{"categories":5303},[68],{"categories":5305},[],{"categories":5307},[117],{"categories":5309},[68],{"categories":5311},[],{"categories":5313},[68],{"categories":5315},[129],{"categories":5317},[68],{"categories":5319},[129],{"categories":5321},[],{"categories":5323},[117],{"categories":5325},[68],{"categories":5327},[112],{"categories":5329},[68],{"categories":5331},[151],{"categories":5333},[68],{"categories":5335},[],{"categories":5337},[117],{"categories":5339},[68],{"categories":5341},[],{"categories":5343},[197],{"categories":5345},[68],{"categories":5347},[68],{"categories":5349},[117],{"categories":5351},[68],{"categories":5353},[68],{"categories":5355},[107],{"categories":5357},[117],{"categories":5359},[68],{"categories":5361},[],{"categories":5363},[263],{"categories":5365},[226],{"categories":5367},[112],{"categories":5369},[112],{"categories":5371},[68],{"categories":5373},[107],{"categories":5375},[107],{"categories":5377},[68],{"categories":5379},[117],{"categories":5381},[68],{"categories":5383},[68],{"categories":5385},[68],{"categories":5387},[68],{"categories":5389},[129],{"categories":5391},[68],{"categories":5393},[107],{"categories":5395},[68],{"categories":5397},[117],{"categories":5399},[68],{"categories":5401},[226],{"categories":5403},[68],{"categories":5405},[151],{"categories":5407},[68],{"categories":5409},[68],{"categories":5411},[117],{"categories":5413},[68],{"categories":5415},[117],{"categories":5417},[],{"categories":5419},[129],{"categories":5421},[],{"categories":5423},[129],{"categories":5425},[117],{"categories":5427},[107],{"categories":5429},[],{"categories":5431},[154],{"categories":5433},[263],{"categories":5435},[68],{"categories":5437},[129],{"categories":5439},[68],{"categories":5441},[],{"categories":5443},[151],{"categories":5445},[117],{"categories":5447},[129],{"categories":5449},[197],{"categories":5451},[68],{"categories":5453},[68],{"categories":5455},[117],{"categories":5457},[129],{"categories":5459},[117],{"categories":5461},[151],{"categories":5463},[68],{"categories":5465},[120],{"categories":5467},[107],{"categories":5469},[120],{"categories":5471},[151],{"categories":5473},[68],{"categories":5475},[129],{"categories":5477},[68],{"categories":5479},[197],{"categories":5481},[112],{"categories":5483},[68],{"categories":5485},[68],{"categories":5487},[68],{"categories":5489},[68],{"categories":5491},[68],{"categories":5493},[68],{"categories":5495},[117],{"categories":5497},[68],{"categories":5499},[117],{"categories":5501},[68],{"categories":5503},[68],{"categories":5505},[107],{"categories":5507},[68],{"categories":5509},[117],{"categories":5511},[117],{"categories":5513},[197],{"categories":5515},[117],{"categories":5517},[117],{"categories":5519},[107],{"categories":5521},[117],{"categories":5523},[197],{"categories":5525},[],{"categories":5527},[68],{"categories":5529},[154],{"categories":5531},[434],{"categories":5533},[68],{"categories":5535},[68],{"categories":5537},[68],{"categories":5539},[129],{"categories":5541},[68],{"categories":5543},[],{"categories":5545},[68],{"categories":5547},[117],{"categories":5549},[68],{"categories":5551},[226],{"categories":5553},[68],{"categories":5555},[151],{"categories":5557},[117],{"categories":5559},[68],{"categories":5561},[226],{"categories":5563},[117],{"categories":5565},[112],{"categories":5567},[112],{"categories":5569},[68],{"categories":5571},[68],{"categories":5573},[68],{"categories":5575},[68],{"categories":5577},[68],{"categories":5579},[107],{"categories":5581},[],{"categories":5583},[68],{"categories":5585},[68],{"categories":5587},[117],{"categories":5589},[117],{"categories":5591},[68],{"categories":5593},[68],{"categories":5595},[68],{"categories":5597},[129],{"categories":5599},[],{"categories":5601},[107],{"categories":5603},[68],{"categories":5605},[68],{"categories":5607},[117],{"categories":5609},[117],{"categories":5611},[],{"categories":5613},[129],{"categories":5615},[129],{"categories":5617},[68],{"categories":5619},[226],{"categories":5621},[112],{"categories":5623},[197],{"categories":5625},[],{"categories":5627},[68],{"categories":5629},[117],{"categories":5631},[107],{"categories":5633},[68],{"categories":5635},[68],{"categories":5637},[129],{"categories":5639},[107],{"categories":5641},[68],{"categories":5643},[68],{"categories":5645},[151],{"categories":5647},[154],{"categories":5649},[151],{"categories":5651},[117],{"categories":5653},[68],{"categories":5655},[],{"categories":5657},[151],{"categories":5659},[117],{"categories":5661},[197],{"categories":5663},[154],{"categories":5665},[68],{"categories":5667},[68],{"categories":5669},[],{"categories":5671},[117],{"categories":5673},[117],{"categories":5675},[117],{"categories":5677},[2929],{"categories":5679},[151],{"categories":5681},[68],{"categories":5683},[129],{"categories":5685},[68],{"categories":5687},[68],{"categories":5689},[68],{"categories":5691},[68],{"categories":5693},[112],{"categories":5695},[68],{"categories":5697},[107],{"categories":5699},[1690],{"categories":5701},[263],{"categories":5703},[107],{"categories":5705},[],{"categories":5707},[68],{"categories":5709},[],{"categories":5711},[151],{"categories":5713},[117],{"categories":5715},[197],{"categories":5717},[68],{"categories":5719},[68],{"categories":5721},[151],{"categories":5723},[],{"categories":5725},[117],{"categories":5727},[117],{"categories":5729},[117],{"categories":5731},[],{"categories":5733},[68],{"categories":5735},[],{"categories":5737},[151],{"categories":5739},[107],{"categories":5741},[197],{"categories":5743},[68],{"categories":5745},[117],{"categories":5747},[151],{"categories":5749},[68],{"categories":5751},[151],{"categories":5753},[],{"categories":5755},[151],{"categories":5757},[107],{"categories":5759},[434],{"categories":5761},[117],{"categories":5763},[68],{"categories":5765},[],{"categories":5767},[129],{"categories":5769},[117],{"categories":5771},[120],{"categories":5773},[117],{"categories":5775},[107],{"categories":5777},[],{"categories":5779},[],{"categories":5781},[],{"categories":5783},[197],{"categories":5785},[117],{"categories":5787},[68],{"categories":5789},[68],{"categories":5791},[],{"categories":5793},[],{"categories":5795},[],{"categories":5797},[68],{"categories":5799},[197],{"categories":5801},[68],{"categories":5803},[],{"categories":5805},[117],{"categories":5807},[68],{"categories":5809},[68],{"categories":5811},[107],{"categories":5813},[],{"categories":5815},[],{"categories":5817},[68],{"categories":5819},[197],{"categories":5821},[68],{"categories":5823},[151],{"categories":5825},[],{"categories":5827},[68],{"categories":5829},[226],{"categories":5831},[151],{"categories":5833},[226],{"categories":5835},[154],{"categories":5837},[68],{"categories":5839},[68],{"categories":5841},[],{"categories":5843},[],{"categories":5845},[117],{"categories":5847},[],{"categories":5849},[68],{"categories":5851},[434],{"categories":5853},[68],{"categories":5855},[68],{"categories":5857},[68],{"categories":5859},[68],{"categories":5861},[],{"categories":5863},[117],{"categories":5865},[68],{"categories":5867},[68],{"categories":5869},[],{"categories":5871},[117],{"categories":5873},[68],{"categories":5875},[151],{"categories":5877},[68],{"categories":5879},[226],{"categories":5881},[112],{"categories":5883},[68],{"categories":5885},[68],{"categories":5887},[117],{"categories":5889},[154],{"categories":5891},[117],{"categories":5893},[117],{"categories":5895},[],{"categories":5897},[117],{"categories":5899},[],{"categories":5901},[68],{"categories":5903},[],{"categories":5905},[151],{"categories":5907},[112],{"categories":5909},[],{"categories":5911},[68],{"categories":5913},[68],{"categories":5915},[],{"categories":5917},[197],{"categories":5919},[107],{"categories":5921},[],{"categories":5923},[112],{"categories":5925},[226],{"categories":5927},[68],{"categories":5929},[129],{"categories":5931},[107],{"categories":5933},[154],{"categories":5935},[112],{"categories":5937},[129],{"categories":5939},[117],{"categories":5941},[129],{"categories":5943},[],{"categories":5945},[68],{"categories":5947},[120],{"categories":5949},[68],{"categories":5951},[],{"categories":5953},[117],{"categories":5955},[107],{"categories":5957},[197],{"categories":5959},[68],{"categories":5961},[107],{"categories":5963},[117],{"categories":5965},[263],{"categories":5967},[68],{"categories":5969},[68],{"categories":5971},[68],{"categories":5973},[107],{"categories":5975},[154],{"categories":5977},[117],{"categories":5979},[],{"categories":5981},[68],{"categories":5983},[68],{"categories":5985},[68],{"categories":5987},[129],{"categories":5989},[117],{"categories":5991},[151],{"categories":5993},[129],{"categories":5995},[68],{"categories":5997},[120],{"categories":5999},[],{"categories":6001},[197],{"categories":6003},[129],{"categories":6005},[151],{"categories":6007},[107],{"categories":6009},[117],{"categories":6011},[68],{"categories":6013},[68],{"categories":6015},[117],{"categories":6017},[120],{"categories":6019},[68],{"categories":6021},[117],{"categories":6023},[68],{"categories":6025},[112],{"categories":6027},[117],{"categories":6029},[117,263],{"categories":6031},[68],{"categories":6033},[68],{"categories":6035},[117],{"categories":6037},[129],{"categories":6039},[68],{"categories":6041},[68],{"categories":6043},[154],{"categories":6045},[117],{"categories":6047},[226],{"categories":6049},[117],{"categories":6051},[112],{"categories":6053},[],{"categories":6055},[117],{"categories":6057},[68],{"categories":6059},[112],{"categories":6061},[],{"categories":6063},[],{"categories":6065},[129],{"categories":6067},[68],{"categories":6069},[68],{"categories":6071},[117],{"categories":6073},[154],{"categories":6075},[226],{"categories":6077},[68],{"categories":6079},[68],{"categories":6081},[117],{"categories":6083},[],{"categories":6085},[117],{"categories":6087},[151],{"categories":6089},[117],{"categories":6091},[68],{"categories":6093},[],{"categories":6095},[151],{"categories":6097},[129],{"categories":6099},[2929],{"categories":6101},[107],{"categories":6103},[129],{"categories":6105},[68],{"categories":6107},[117],{"categories":6109},[68],{"categories":6111},[68],{"categories":6113},[226],{"categories":6115},[129],{"categories":6117},[],{"categories":6119},[151],{"categories":6121},[68],{"categories":6123},[],{"categories":6125},[117],{"categories":6127},[68],{"categories":6129},[68],{"categories":6131},[68],{"categories":6133},[68],{"categories":6135},[117],{"categories":6137},[68],{"categories":6139},[68],{"categories":6141},[120],{"categories":6143},[68],{"categories":6145},[117],{"categories":6147},[68],{"categories":6149},[68],{"categories":6151},[68],{"categories":6153},[68],{"categories":6155},[68],{"categories":6157},[68],{"categories":6159},[68],{"categories":6161},[112],{"categories":6163},[],{"categories":6165},[120],{"categories":6167},[151],{"categories":6169},[117],{"categories":6171},[68],{"categories":6173},[129],{"categories":6175},[],{"categories":6177},[129],{"categories":6179},[129],{"categories":6181},[117],{"categories":6183},[129],{"categories":6185},[68],{"categories":6187},[68],{"categories":6189},[68],{"categories":6191},[117],{"categories":6193},[129],{"categories":6195},[68],{"categories":6197},[68],{"categories":6199},[68],{"categories":6201},[117],{"categories":6203},[151],{"categories":6205},[68],{"categories":6207},[68],{"categories":6209},[68],{"categories":6211},[112],{"categories":6213},[68],{"categories":6215},[117],{"categories":6217},[197],{"categories":6219},[],{"categories":6221},[68],{"categories":6223},[154],{"categories":6225},[117],{"categories":6227},[68],{"categories":6229},[68],{"categories":6231},[],{"categories":6233},[68],{"categories":6235},[68],{"categories":6237},[151],{"categories":6239},[68],{"categories":6241},[68],{"categories":6243},[117],{"categories":6245},[226],{"categories":6247},[],{"categories":6249},[],{"categories":6251},[129],{"categories":6253},[68],{"categories":6255},[151],{"categories":6257},[68],{"categories":6259},[129],{"categories":6261},[151],{"categories":6263},[68],{"categories":6265},[226],{"categories":6267},[154],{"categories":6269},[68],{"categories":6271},[68],{"categories":6273},[107],{"categories":6275},[117],{"categories":6277},[68],{"categories":6279},[68],{"categories":6281},[117],{"categories":6283},[117],{"categories":6285},[68],{"categories":6287},[112],{"categories":6289},[],{"categories":6291},[154],{"categories":6293},[68],{"categories":6295},[],{"categories":6297},[151],{"categories":6299},[68],{"categories":6301},[154],{"categories":6303},[68],{"categories":6305},[129],{"categories":6307},[129],{"categories":6309},[129],{"categories":6311},[117],{"categories":6313},[117],{"categories":6315},[68],{"categories":6317},[117],{"categories":6319},[68],{"categories":6321},[68],{"categories":6323},[197],{"categories":6325},[154],{"categories":6327},[154],{"categories":6329},[],{"categories":6331},[151],{"categories":6333},[68],{"categories":6335},[68],{"categories":6337},[129],{"categories":6339},[],{"categories":6341},[151],{"categories":6343},[151],{"categories":6345},[151],{"categories":6347},[],{"categories":6349},[117],{"categories":6351},[68],{"categories":6353},[],{"categories":6355},[107],{"categories":6357},[112],{"categories":6359},[],{"categories":6361},[68],{"categories":6363},[68],{"categories":6365},[],{"categories":6367},[129],{"categories":6369},[],{"categories":6371},[],{"categories":6373},[],{"categories":6375},[],{"categories":6377},[68],{"categories":6379},[151],{"categories":6381},[],{"categories":6383},[],{"categories":6385},[68],{"categories":6387},[68],{"categories":6389},[68],{"categories":6391},[154],{"categories":6393},[68],{"categories":6395},[154],{"categories":6397},[],{"categories":6399},[154],{"categories":6401},[154],{"categories":6403},[263],{"categories":6405},[117],{"categories":6407},[129],{"categories":6409},[],{"categories":6411},[],{"categories":6413},[154],{"categories":6415},[129],{"categories":6417},[129],{"categories":6419},[129],{"categories":6421},[],{"categories":6423},[107],{"categories":6425},[129],{"categories":6427},[129],{"categories":6429},[107],{"categories":6431},[129],{"categories":6433},[112],{"categories":6435},[129],{"categories":6437},[129],{"categories":6439},[129],{"categories":6441},[154],{"categories":6443},[151],{"categories":6445},[151],{"categories":6447},[68],{"categories":6449},[129],{"categories":6451},[154],{"categories":6453},[263],{"categories":6455},[154],{"categories":6457},[154],{"categories":6459},[154],{"categories":6461},[],{"categories":6463},[112],{"categories":6465},[],{"categories":6467},[263],{"categories":6469},[129],{"categories":6471},[129],{"categories":6473},[129],{"categories":6475},[117],{"categories":6477},[151,112],{"categories":6479},[154],{"categories":6481},[],{"categories":6483},[],{"categories":6485},[154],{"categories":6487},[],{"categories":6489},[154],{"categories":6491},[151],{"categories":6493},[117],{"categories":6495},[],{"categories":6497},[129],{"categories":6499},[68],{"categories":6501},[197],{"categories":6503},[],{"categories":6505},[68],{"categories":6507},[],{"categories":6509},[151],{"categories":6511},[107],{"categories":6513},[154],{"categories":6515},[],{"categories":6517},[129],{"categories":6519},[151],[6521,6596,6667,6727],{"id":6522,"title":6523,"ai":6524,"body":6529,"categories":6578,"created_at":69,"date_modified":69,"description":62,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":6579,"navigation":85,"path":6586,"published_at":6587,"question":69,"scraped_at":6587,"seo":6588,"sitemap":6589,"source_id":6590,"source_name":91,"source_type":92,"source_url":6583,"stem":6591,"tags":6592,"thumbnail_url":69,"tldr":6593,"tweet":69,"unknown_tags":6594,"__hash__":6595},"summaries\u002Fsummaries\u002F846e1b625d3de3fc-mindmemos-a-self-evolving-memory-layer-for-ai-agen-summary.md","MindMemOS: A Self-Evolving Memory Layer for AI Agents",{"provider":7,"model":8,"input_tokens":6525,"output_tokens":6526,"processing_time_ms":6527,"cost_usd":6528},4052,573,2619,0.0018725,{"type":14,"value":6530,"toc":6573},[6531,6535,6538,6542,6545,6566,6570],[17,6532,6534],{"id":6533},"the-architecture-of-portable-memory","The Architecture of Portable Memory",[22,6536,6537],{},"MindMemOS addresses the critical bottleneck in current AI agent development: the lack of a standardized, persistent, and evolving memory layer. Most agents rely on transient context windows or static RAG (Retrieval-Augmented Generation) systems that fail to adapt as the agent interacts with new environments. MindMemOS functions as an operating layer that sits between the agent's core model and its data storage, providing a unified interface for memory management that is model-agnostic and portable across different agent frameworks.",[17,6539,6541],{"id":6540},"self-evolving-memory-dynamics","Self-Evolving Memory Dynamics",[22,6543,6544],{},"Unlike traditional databases, MindMemOS treats memory as a dynamic, self-evolving entity. It employs a multi-tiered architecture that manages memory through three primary processes:",[6546,6547,6548,6554,6560],"ol",{},[39,6549,6550,6553],{},[42,6551,6552],{},"Active Consolidation:"," The system continuously evaluates incoming interactions, distilling transient information into structured, long-term knowledge representations.",[39,6555,6556,6559],{},[42,6557,6558],{},"Adaptive Retrieval:"," Rather than relying on simple vector similarity, the layer uses context-aware retrieval mechanisms that adjust based on the agent's current task and historical performance.",[39,6561,6562,6565],{},[42,6563,6564],{},"Self-Optimization:"," The memory layer periodically refines its own indexing and storage structures, effectively 'pruning' irrelevant information and strengthening high-utility associations without requiring manual intervention or retraining of the underlying LLM.",[17,6567,6569],{"id":6568},"decoupling-intelligence-from-storage","Decoupling Intelligence from Storage",[22,6571,6572],{},"By abstracting memory into an operating layer, MindMemOS allows developers to swap out underlying models (e.g., moving from GPT-4 to a local Llama-3 instance) without losing the agent's accumulated knowledge. This portability solves the 'vendor lock-in' problem common in proprietary agent platforms. The system provides a consistent API for state management, ensuring that an agent's 'personality' and learned task-specific strategies persist regardless of the compute backend. This approach significantly reduces the overhead of managing agent state, as the memory layer handles the complexities of storage, retrieval, and evolution, allowing the agent to focus purely on reasoning and execution.",{"title":62,"searchDepth":63,"depth":63,"links":6574},[6575,6576,6577],{"id":6533,"depth":63,"text":6534},{"id":6540,"depth":63,"text":6541},{"id":6568,"depth":63,"text":6569},[68],{"content_references":6580,"triage":6584},[6581],{"type":75,"title":6582,"url":6583,"context":78},"MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.12428",{"relevance":80,"novelty":81,"quality":81,"actionability":82,"composite":83,"reasoning":6585},"Category: AI & LLMs. The article presents a novel architecture for AI agents that addresses a critical limitation in current systems, making it highly relevant for developers building AI-powered products. It introduces actionable concepts like 'Active Consolidation' and 'Adaptive Retrieval,' which could inspire practical implementations, though it lacks detailed step-by-step guidance.","\u002Fsummaries\u002F846e1b625d3de3fc-mindmemos-a-self-evolving-memory-layer-for-ai-agen-summary","2026-08-15 03:11:02",{"title":6523,"description":62},{"loc":6586},"846e1b625d3de3fc","summaries\u002F846e1b625d3de3fc-mindmemos-a-self-evolving-memory-layer-for-ai-agen-summary",[95,96,97,98],"MindMemOS introduces a portable, self-evolving memory operating layer that decouples agent intelligence from long-term storage, enabling persistent, adaptive memory across diverse AI architectures.",[98],"ITkqa-R8MIN-Dei8VvFVflf2HQRuhLUTbonm1mftHgs",{"id":6597,"title":6598,"ai":6599,"body":6604,"categories":6647,"created_at":69,"date_modified":69,"description":62,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":6648,"navigation":85,"path":6657,"published_at":6658,"question":69,"scraped_at":6658,"seo":6659,"sitemap":6660,"source_id":6661,"source_name":91,"source_type":92,"source_url":6653,"stem":6662,"tags":6663,"thumbnail_url":69,"tldr":6664,"tweet":69,"unknown_tags":6665,"__hash__":6666},"summaries\u002Fsummaries\u002Fb17ba7c99fa7d79d-sparse-coding-for-latent-communication-in-vlm-agen-summary.md","Sparse Coding for Latent Communication in VLM Agents",{"provider":7,"model":8,"input_tokens":6600,"output_tokens":6601,"processing_time_ms":6602,"cost_usd":6603},4007,477,2357,0.00171725,{"type":14,"value":6605,"toc":6643},[6606,6610,6613,6617,6620,6640],[17,6607,6609],{"id":6608},"interpreting-latent-agent-communication","Interpreting Latent Agent Communication",[22,6611,6612],{},"As multi-agent systems powered by Vision-Language Models (VLMs) become more complex, the internal \"language\" or latent representations used for inter-agent communication remain largely opaque. This research proposes a post-hoc sparse coding approach to decompose these latent signals. By applying sparse autoencoders or similar dictionary learning techniques to the hidden states of communicating agents, the authors aim to map high-dimensional, dense latent vectors into human-interpretable, sparse features.",[17,6614,6616],{"id":6615},"methodology-and-implications","Methodology and Implications",[22,6618,6619],{},"The core argument is that latent communication is not merely noise but contains structured, task-relevant information that can be reconstructed through sparse coding. By treating the latent space as a superposition of features, the method allows researchers to:",[36,6621,6622,6628,6634],{},[39,6623,6624,6627],{},[42,6625,6626],{},"Identify specific communication primitives:"," Isolate which latent features correspond to visual grounding, spatial reasoning, or strategic planning during agent interaction.",[39,6629,6630,6633],{},[42,6631,6632],{},"Post-hoc analysis:"," Unlike training-time interpretability methods, this approach does not require modifying the underlying VLM architecture, making it applicable to existing, pre-trained models.",[39,6635,6636,6639],{},[42,6637,6638],{},"Improve transparency:"," By visualizing the activation of sparse features during multi-step tasks, developers can debug agent failures where communication breakdown is suspected.",[22,6641,6642],{},"This work provides a technical foundation for auditing agent-to-agent protocols, moving toward more reliable and explainable multi-agent AI systems.",{"title":62,"searchDepth":63,"depth":63,"links":6644},[6645,6646],{"id":6608,"depth":63,"text":6609},{"id":6615,"depth":63,"text":6616},[68],{"content_references":6649,"triage":6654},[6650],{"type":75,"title":6651,"author":6652,"url":6653,"context":78},"Post-Hoc Sparse Coding of Latent Communication Between Vision-Language Model Agents","Unknown","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10198",{"relevance":81,"novelty":81,"quality":81,"actionability":82,"composite":6655,"reasoning":6656},3.8,"Category: AI & LLMs. The article discusses a novel approach to interpreting latent communication in VLM agents, addressing a specific pain point of understanding complex AI interactions. It provides insights into a method that can be applied to existing models, though it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002Fb17ba7c99fa7d79d-sparse-coding-for-latent-communication-in-vlm-agen-summary","2026-08-13 03:25:45",{"title":6598,"description":62},{"loc":6657},"b17ba7c99fa7d79d","summaries\u002Fb17ba7c99fa7d79d-sparse-coding-for-latent-communication-in-vlm-agen-summary",[96,97,95,98],"This paper introduces a post-hoc sparse coding method to interpret and analyze the latent communication signals exchanged between vision-language model (VLM) agents, providing a framework for understanding multi-agent internal states.",[98],"vV6Lcp_Dc_Q_3Icp-GUZg1kj8oFzaIHDiCOYcmo0gRA",{"id":6668,"title":6669,"ai":6670,"body":6675,"categories":6703,"created_at":69,"date_modified":69,"description":62,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":6704,"navigation":85,"path":6718,"published_at":6658,"question":69,"scraped_at":6658,"seo":6719,"sitemap":6720,"source_id":6721,"source_name":91,"source_type":92,"source_url":6709,"stem":6722,"tags":6723,"thumbnail_url":69,"tldr":6724,"tweet":69,"unknown_tags":6725,"__hash__":6726},"summaries\u002Fsummaries\u002Fdefa0bd3939e07d1-evaluation-conditioned-training-for-stronger-overs-summary.md","Evaluation-Conditioned Training for Stronger Oversight",{"provider":7,"model":8,"input_tokens":6671,"output_tokens":6672,"processing_time_ms":6673,"cost_usd":6674},4072,540,3183,0.001828,{"type":14,"value":6676,"toc":6698},[6677,6681,6684,6688,6691,6695],[17,6678,6680],{"id":6679},"the-challenge-of-oversight-generalization","The Challenge of Oversight Generalization",[22,6682,6683],{},"Modern AI agents often struggle when the quality or strictness of their oversight (the feedback or evaluation mechanism) changes between training and deployment. If a model is trained under weak oversight, it may fail to maintain high performance or safety standards when subjected to more rigorous, 'stronger' oversight regimes. Evaluation-Conditioned Training (ECT) addresses this by explicitly conditioning the model's policy on the evaluation regime, allowing it to learn how to adjust its behavior dynamically.",[17,6685,6687],{"id":6686},"the-ect-framework","The ECT Framework",[22,6689,6690],{},"Instead of training a model against a static evaluation metric, ECT incorporates the oversight regime as an input parameter during the training process. By exposing the agent to a distribution of oversight strengths—ranging from weak to strong—the model learns to optimize its output based on the expected rigor of the evaluator. This approach forces the model to internalize the requirements of higher-quality oversight, effectively 'teaching' it to generalize its performance beyond the limitations of its initial training environment.",[17,6692,6694],{"id":6693},"practical-implications-for-ai-agents","Practical Implications for AI Agents",[22,6696,6697],{},"This technique is particularly relevant for building robust AI agents that must operate in diverse environments. By conditioning on the evaluation regime, developers can ensure that agents do not 'overfit' to weak feedback loops. The research suggests that this method significantly improves the agent's ability to handle more complex or stringent evaluation criteria without requiring exhaustive retraining for every new oversight standard. The provided code implementation allows practitioners to integrate this conditioning into existing agent training pipelines.",{"title":62,"searchDepth":63,"depth":63,"links":6699},[6700,6701,6702],{"id":6679,"depth":63,"text":6680},{"id":6686,"depth":63,"text":6687},{"id":6693,"depth":63,"text":6694},[68],{"content_references":6705,"triage":6715},[6706,6711],{"type":6707,"title":6708,"url":6709,"context":6710},"other","Evaluation-Conditioned Training: Teaching Models to Generalize to Stronger Oversight Regimes","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10209","recommended",{"type":6712,"title":6713,"url":6714,"context":6710},"tool","Evaluation-Conditioned Training Code","https:\u002F\u002Fgithub.com\u002Fevaluationconditionedtraining\u002FEvaluation-Conditioned-Training",{"relevance":80,"novelty":81,"quality":81,"actionability":81,"composite":6716,"reasoning":6717},4.35,"Category: AI & LLMs. The article discusses Evaluation-Conditioned Training (ECT), which directly addresses a pain point for developers building AI agents by improving their adaptability to varying oversight conditions. It provides a practical framework and code implementation that can be integrated into existing training pipelines, making it actionable for the target audience.","\u002Fsummaries\u002Fdefa0bd3939e07d1-evaluation-conditioned-training-for-stronger-overs-summary",{"title":6669,"description":62},{"loc":6718},"defa0bd3939e07d1","summaries\u002Fdefa0bd3939e07d1-evaluation-conditioned-training-for-stronger-overs-summary",[95,96,97,98],"Evaluation-Conditioned Training (ECT) improves model performance by training agents to adapt their behavior based on the strength of the oversight regime they operate under, ensuring better generalization.",[98],"FqjpDcuh-tSP32qn-_97ndB86vJ8deFMcPldhgeYshQ",{"id":6728,"title":6729,"ai":6730,"body":6735,"categories":6763,"created_at":69,"date_modified":69,"description":62,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":6764,"navigation":85,"path":6772,"published_at":6773,"question":69,"scraped_at":6773,"seo":6774,"sitemap":6775,"source_id":6776,"source_name":91,"source_type":92,"source_url":6768,"stem":6777,"tags":6778,"thumbnail_url":69,"tldr":6779,"tweet":69,"unknown_tags":6780,"__hash__":6781},"summaries\u002Fsummaries\u002F0b2f0c8aac8b2afe-mesa-task-adaptive-evidence-selection-for-agent-me-summary.md","MESA: Task-Adaptive Evidence Selection for Agent Memory",{"provider":7,"model":8,"input_tokens":6731,"output_tokens":6732,"processing_time_ms":6733,"cost_usd":6734},4038,439,2358,0.001668,{"type":14,"value":6736,"toc":6758},[6737,6741,6744,6748,6751,6755],[17,6738,6740],{"id":6739},"the-challenge-of-long-horizon-agent-memory","The Challenge of Long-Horizon Agent Memory",[22,6742,6743],{},"Agents operating over long time horizons face a critical bottleneck: the 'needle in a haystack' problem. As agents accumulate vast amounts of interaction history, standard retrieval methods—typically based on simple semantic similarity—often fail to capture the specific evidence required for complex, multi-step tasks. This leads to memory noise, where irrelevant information obscures the context needed for effective decision-making.",[17,6745,6747],{"id":6746},"the-mesa-framework-multi-structure-evidence-selection","The MESA Framework: Multi-Structure Evidence Selection",[22,6749,6750],{},"MESA (Multi-Structure Evidence Selection) addresses this by moving beyond flat retrieval. Instead of treating memory as a monolithic block, MESA organizes and retrieves information using a task-adaptive approach that leverages multiple structural representations of the agent's history. By dynamically selecting the most appropriate structure based on the current task requirements, the agent can isolate high-fidelity evidence from long-term logs.",[17,6752,6754],{"id":6753},"improving-agent-reasoning-and-efficiency","Improving Agent Reasoning and Efficiency",[22,6756,6757],{},"By implementing task-adaptive selection, MESA ensures that the LLM receives a curated 'evidence set' rather than a generic retrieval output. This reduces the cognitive load on the model, minimizes hallucinations caused by irrelevant context, and significantly improves the success rate in long-horizon planning. The framework demonstrates that the way memory is structured and retrieved is as important as the capacity of the memory itself, providing a scalable path for agents to maintain coherence over extended operational periods.",{"title":62,"searchDepth":63,"depth":63,"links":6759},[6760,6761,6762],{"id":6739,"depth":63,"text":6740},{"id":6746,"depth":63,"text":6747},{"id":6753,"depth":63,"text":6754},[68],{"content_references":6765,"triage":6770},[6766],{"type":75,"title":6767,"url":6768,"context":6769},"MESA:Task-Adaptive Multi-Structure Evidence Selection for Long-Horizon Agent Memory","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10108","reviewed",{"relevance":81,"novelty":81,"quality":81,"actionability":82,"composite":6655,"reasoning":6771},"Category: AI & LLMs. The article discusses a novel framework (MESA) for improving agent memory retrieval, which directly addresses a pain point for developers working with AI agents. It presents new insights into memory structuring and retrieval methods, but lacks specific implementation details that would allow immediate action.","\u002Fsummaries\u002F0b2f0c8aac8b2afe-mesa-task-adaptive-evidence-selection-for-agent-me-summary","2026-08-13 03:25:42",{"title":6729,"description":62},{"loc":6772},"0b2f0c8aac8b2afe","summaries\u002F0b2f0c8aac8b2afe-mesa-task-adaptive-evidence-selection-for-agent-me-summary",[95,96,97,98],"MESA improves long-horizon agent performance by using a task-adaptive, multi-structure memory selection framework that retrieves relevant evidence more effectively than standard retrieval methods.",[98],"Dz4slHX_HwVpoD0ZOCHGO5SHHsNnY3ogQbREkhR7saU"]