[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-c53514987261a417-forecasting-side-effects-of-activation-steering-summary":3,"summaries-facets-categories":78,"summary-related-c53514987261a417-forecasting-side-effects-of-activation-steering-summary":6496},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":62,"path":63,"published_at":64,"question":48,"scraped_at":64,"seo":65,"sitemap":66,"source_id":67,"source_name":68,"source_type":69,"source_url":55,"stem":70,"tags":71,"thumbnail_url":48,"tldr":75,"tweet":48,"unknown_tags":76,"__hash__":77},"summaries\u002Fsummaries\u002Fc53514987261a417-forecasting-side-effects-of-activation-steering-summary.md","Forecasting Side Effects of Activation Steering",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4045,480,2449,0.00173125,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"the-challenge-of-unintended-consequences-in-activation-steering","The Challenge of Unintended Consequences in Activation Steering",[22,23,24],"p",{},"Activation steering—the practice of adding specific vectors to a model's internal activations to influence its output—is a powerful technique for steering LLM behavior. However, its primary limitation is the lack of predictability regarding side effects. When a developer steers a model to be more helpful or to adopt a specific persona, the model may simultaneously lose capabilities in unrelated domains or exhibit unexpected biases. This research addresses the difficulty of forecasting these downstream behavioral changes, providing a methodology to identify potential risks before they manifest in production environments.",[17,26,28],{"id":27},"a-predictive-framework-for-behavioral-shifts","A Predictive Framework for Behavioral Shifts",[22,30,31],{},"The authors propose a systematic approach to evaluating the impact of steering vectors by mapping internal activation changes to observable model outputs. Instead of relying on trial-and-error, the framework uses diagnostic probes to measure how steering vectors shift the model's latent space. By analyzing the correlation between these latent shifts and performance on benchmark tasks, the researchers demonstrate that it is possible to predict which capabilities are likely to degrade when a specific steering vector is applied. This allows engineers to quantify the trade-offs between 'steerability' and 'model integrity' before committing to a specific intervention.",[17,33,35],{"id":34},"practical-implications-for-model-control","Practical Implications for Model Control",[22,37,38],{},"The findings suggest that side effects are not random but are structurally linked to the model's internal representation of concepts. By identifying these 'interference zones'—where steering vectors overlap with critical reasoning or knowledge pathways—developers can refine their steering vectors to minimize collateral damage. This work moves activation steering from a heuristic-based experiment toward a more rigorous engineering discipline, enabling safer and more reliable model customization.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"AI & LLMs",null,"md",false,{"content_references":52,"triage":57},[53],{"type":54,"title":5,"url":55,"context":56},"paper","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.11227","reviewed",{"relevance":58,"novelty":59,"quality":59,"actionability":59,"composite":60,"reasoning":61},5,4,4.35,"Category: AI & LLMs. The article provides a framework for predicting side effects of activation steering in LLMs, addressing a specific pain point for developers who need to ensure model integrity while customizing behavior. It offers actionable insights into refining steering vectors to minimize unintended consequences, making it highly relevant and practical for the target audience.",true,"\u002Fsummaries\u002Fc53514987261a417-forecasting-side-effects-of-activation-steering-summary","2026-08-14 03:21:16",{"title":5,"description":40},{"loc":63},"c53514987261a417","arXiv cs.AI","article","summaries\u002Fc53514987261a417-forecasting-side-effects-of-activation-steering-summary",[72,73,74],"llm","machine-learning","research","Activation steering allows for precise control over LLM behavior, but it often introduces unintended side effects. This research provides a framework to predict these downstream behavioral changes before deployment.",[],"OV5sAf6SWzE51JSpRpDM2P1aN0v9Dxm5GJvrCIlrdI4",[79,81,84,86,89,91,94,97,99,101,103,106,108,110,112,114,117,119,121,123,125,128,131,133,135,137,139,141,143,145,147,149,151,153,155,157,159,161,163,165,167,169,171,174,176,178,180,182,184,186,188,190,192,194,196,198,200,203,205,207,209,211,213,215,217,219,221,223,225,227,229,231,233,235,237,240,242,244,246,248,250,252,254,256,258,260,262,264,266,269,271,273,275,277,279,281,283,285,287,289,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,332,334,336,338,340,342,344,346,348,350,352,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,388,390,392,394,396,398,400,402,404,406,408,411,413,415,417,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,466,468,470,473,475,477,479,481,483,485,487,489,491,493,495,497,499,502,504,506,508,510,512,514,516,518,520,522,524,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,802,804,806,808,810,813,815,817,819,821,823,825,827,829,831,833,835,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494],{"categories":80},[47],{"categories":82},[83],"Developer Productivity",{"categories":85},[47],{"categories":87},[88],"Business & SaaS",{"categories":90},[47],{"categories":92},[93],"AI Automation",{"categories":95},[96],"Product Strategy",{"categories":98},[47],{"categories":100},[83],{"categories":102},[93],{"categories":104},[105],"Software Engineering",{"categories":107},[47],{"categories":109},[88],{"categories":111},[],{"categories":113},[47],{"categories":115},[116],"Inference & Serving",{"categories":118},[47],{"categories":120},[47],{"categories":122},[93],{"categories":124},[],{"categories":126},[127],"AI News & Trends",{"categories":129},[130],"Data Science & Visualization",{"categories":132},[93],{"categories":134},[47],{"categories":136},[47],{"categories":138},[88],{"categories":140},[83],{"categories":142},[47],{"categories":144},[93],{"categories":146},[127],{"categories":148},[93],{"categories":150},[93],{"categories":152},[47],{"categories":154},[93],{"categories":156},[47],{"categories":158},[47],{"categories":160},[47],{"categories":162},[127],{"categories":164},[47],{"categories":166},[47],{"categories":168},[47],{"categories":170},[],{"categories":172},[173],"Design & Frontend",{"categories":175},[130],{"categories":177},[127],{"categories":179},[47],{"categories":181},[47],{"categories":183},[47],{"categories":185},[],{"categories":187},[47],{"categories":189},[47],{"categories":191},[93],{"categories":193},[105],{"categories":195},[47],{"categories":197},[93],{"categories":199},[47],{"categories":201},[202],"Marketing & Growth",{"categories":204},[173],{"categories":206},[47],{"categories":208},[93],{"categories":210},[47],{"categories":212},[105],{"categories":214},[],{"categories":216},[],{"categories":218},[173],{"categories":220},[47],{"categories":222},[93],{"categories":224},[83],{"categories":226},[105],{"categories":228},[93],{"categories":230},[173],{"categories":232},[96],{"categories":234},[47],{"categories":236},[105],{"categories":238},[239],"DevOps & Cloud",{"categories":241},[93],{"categories":243},[96],{"categories":245},[127],{"categories":247},[47],{"categories":249},[],{"categories":251},[47],{"categories":253},[47],{"categories":255},[],{"categories":257},[93],{"categories":259},[105],{"categories":261},[],{"categories":263},[105],{"categories":265},[47],{"categories":267},[268],"Governance & Standards",{"categories":270},[88],{"categories":272},[],{"categories":274},[],{"categories":276},[47],{"categories":278},[47],{"categories":280},[93],{"categories":282},[47],{"categories":284},[47],{"categories":286},[93],{"categories":288},[47],{"categories":290},[47],{"categories":292},[47],{"categories":294},[],{"categories":296},[105],{"categories":298},[],{"categories":300},[],{"categories":302},[47],{"categories":304},[105],{"categories":306},[],{"categories":308},[105],{"categories":310},[47],{"categories":312},[47],{"categories":314},[202],{"categories":316},[47],{"categories":318},[47],{"categories":320},[173],{"categories":322},[173],{"categories":324},[47],{"categories":326},[105],{"categories":328},[93],{"categories":330},[331],"GovTech & Public-Sector Adoption",{"categories":333},[105],{"categories":335},[47],{"categories":337},[47],{"categories":339},[47],{"categories":341},[93],{"categories":343},[93],{"categories":345},[130],{"categories":347},[47],{"categories":349},[127],{"categories":351},[93],{"categories":353},[354],"Legal AI Tools",{"categories":356},[47],{"categories":358},[93],{"categories":360},[47],{"categories":362},[202],{"categories":364},[93],{"categories":366},[96],{"categories":368},[47],{"categories":370},[105],{"categories":372},[331],{"categories":374},[],{"categories":376},[93],{"categories":378},[],{"categories":380},[88],{"categories":382},[93],{"categories":384},[93],{"categories":386},[387],"RAG & Retrieval",{"categories":389},[88],{"categories":391},[47],{"categories":393},[105],{"categories":395},[105],{"categories":397},[239],{"categories":399},[173],{"categories":401},[93],{"categories":403},[47],{"categories":405},[47],{"categories":407},[],{"categories":409},[410],"Agents & Orchestration",{"categories":412},[105],{"categories":414},[47],{"categories":416},[],{"categories":418},[93],{"categories":420},[88],{"categories":422},[],{"categories":424},[47],{"categories":426},[],{"categories":428},[47],{"categories":430},[83],{"categories":432},[105],{"categories":434},[88],{"categories":436},[47],{"categories":438},[93],{"categories":440},[47],{"categories":442},[127],{"categories":444},[47],{"categories":446},[],{"categories":448},[47],{"categories":450},[],{"categories":452},[105],{"categories":454},[47],{"categories":456},[130],{"categories":458},[],{"categories":460},[47],{"categories":462},[173],{"categories":464},[465],"Models & Frontier Labs",{"categories":467},[],{"categories":469},[173],{"categories":471},[472],"Regulation & Governance of AI",{"categories":474},[93],{"categories":476},[],{"categories":478},[47],{"categories":480},[47],{"categories":482},[93],{"categories":484},[127],{"categories":486},[88],{"categories":488},[47],{"categories":490},[],{"categories":492},[105],{"categories":494},[93],{"categories":496},[47],{"categories":498},[96],{"categories":500},[501],"AI Policy & Regulation",{"categories":503},[],{"categories":505},[47],{"categories":507},[93],{"categories":509},[96],{"categories":511},[93],{"categories":513},[47],{"categories":515},[47],{"categories":517},[47],{"categories":519},[93],{"categories":521},[],{"categories":523},[130],{"categories":525},[526],"Evals & Reliability",{"categories":528},[47],{"categories":530},[47],{"categories":532},[],{"categories":534},[83],{"categories":536},[331],{"categories":538},[501],{"categories":540},[47],{"categories":542},[88],{"categories":544},[47],{"categories":546},[93],{"categories":548},[47],{"categories":550},[93],{"categories":552},[410],{"categories":554},[47],{"categories":556},[105],{"categories":558},[47],{"categories":560},[],{"categories":562},[],{"categories":564},[47],{"categories":566},[331],{"categories":568},[47],{"categories":570},[47],{"categories":572},[47],{"categories":574},[],{"categories":576},[173],{"categories":578},[],{"categories":580},[47],{"categories":582},[],{"categories":584},[93],{"categories":586},[47],{"categories":588},[173],{"categories":590},[],{"categories":592},[47],{"categories":594},[47],{"categories":596},[130],{"categories":598},[93],{"categories":600},[47],{"categories":602},[88],{"categories":604},[93],{"categories":606},[47],{"categories":608},[47],{"categories":610},[105],{"categories":612},[173],{"categories":614},[47],{"categories":616},[93],{"categories":618},[],{"categories":620},[105],{"categories":622},[93],{"categories":624},[130],{"categories":626},[],{"categories":628},[47],{"categories":630},[127],{"categories":632},[47],{"categories":634},[],{"categories":636},[47],{"categories":638},[47],{"categories":640},[47],{"categories":642},[88,202],{"categories":644},[],{"categories":646},[47],{"categories":648},[47],{"categories":650},[93],{"categories":652},[47],{"categories":654},[],{"categories":656},[],{"categories":658},[47],{"categories":660},[173],{"categories":662},[47],{"categories":664},[],{"categories":666},[47],{"categories":668},[239],{"categories":670},[],{"categories":672},[93],{"categories":674},[127],{"categories":676},[47],{"categories":678},[47],{"categories":680},[173],{"categories":682},[],{"categories":684},[127],{"categories":686},[47],{"categories":688},[116],{"categories":690},[47],{"categories":692},[47],{"categories":694},[93],{"categories":696},[127],{"categories":698},[465],{"categories":700},[47],{"categories":702},[202],{"categories":704},[],{"categories":706},[93],{"categories":708},[88],{"categories":710},[105],{"categories":712},[47],{"categories":714},[93],{"categories":716},[],{"categories":718},[47,239],{"categories":720},[47],{"categories":722},[47],{"categories":724},[47],{"categories":726},[93],{"categories":728},[47,105],{"categories":730},[130],{"categories":732},[47],{"categories":734},[47],{"categories":736},[105],{"categories":738},[47],{"categories":740},[93],{"categories":742},[501],{"categories":744},[202],{"categories":746},[47],{"categories":748},[93],{"categories":750},[47],{"categories":752},[47],{"categories":754},[93],{"categories":756},[],{"categories":758},[93],{"categories":760},[47],{"categories":762},[47],{"categories":764},[93],{"categories":766},[47],{"categories":768},[47,88],{"categories":770},[47],{"categories":772},[88],{"categories":774},[],{"categories":776},[173],{"categories":778},[173],{"categories":780},[47],{"categories":782},[],{"categories":784},[],{"categories":786},[47],{"categories":788},[127],{"categories":790},[],{"categories":792},[83],{"categories":794},[47],{"categories":796},[105],{"categories":798},[47],{"categories":800},[801],"Generative UI & Design-to-Code",{"categories":803},[47],{"categories":805},[47],{"categories":807},[173],{"categories":809},[47],{"categories":811},[812],"Algorithmic Accountability",{"categories":814},[93],{"categories":816},[105],{"categories":818},[127],{"categories":820},[173],{"categories":822},[47],{"categories":824},[],{"categories":826},[96],{"categories":828},[47],{"categories":830},[47],{"categories":832},[47],{"categories":834},[93],{"categories":836},[837],"MLOps & Infrastructure",{"categories":839},[47],{"categories":841},[47],{"categories":843},[47],{"categories":845},[47],{"categories":847},[47],{"categories":849},[127],{"categories":851},[96],{"categories":853},[83],{"categories":855},[47],{"categories":857},[93],{"categories":859},[239],{"categories":861},[47],{"categories":863},[88],{"categories":865},[47],{"categories":867},[173],{"categories":869},[47],{"categories":871},[47],{"categories":873},[93],{"categories":875},[],{"categories":877},[],{"categories":879},[47],{"categories":881},[116],{"categories":883},[173],{"categories":885},[127],{"categories":887},[130],{"categories":889},[],{"categories":891},[47],{"categories":893},[47],{"categories":895},[88],{"categories":897},[93],{"categories":899},[47],{"categories":901},[47],{"categories":903},[47],{"categories":905},[47],{"categories":907},[127],{"categories":909},[116],{"categories":911},[47],{"categories":913},[173],{"categories":915},[47],{"categories":917},[],{"categories":919},[93],{"categories":921},[105],{"categories":923},[],{"categories":925},[47],{"categories":927},[47],{"categories":929},[93],{"categories":931},[105],{"categories":933},[47],{"categories":935},[130],{"categories":937},[],{"categories":939},[47],{"categories":941},[],{"categories":943},[47],{"categories":945},[],{"categories":947},[96],{"categories":949},[88],{"categories":951},[93],{"categories":953},[93],{"categories":955},[],{"categories":957},[83],{"categories":959},[47],{"categories":961},[47],{"categories":963},[88],{"categories":965},[127],{"categories":967},[83],{"categories":969},[],{"categories":971},[47],{"categories":973},[],{"categories":975},[],{"categories":977},[127],{"categories":979},[127],{"categories":981},[],{"categories":983},[410],{"categories":985},[47],{"categories":987},[173],{"categories":989},[105],{"categories":991},[],{"categories":993},[354],{"categories":995},[93],{"categories":997},[88],{"categories":999},[],{"categories":1001},[],{"categories":1003},[83],{"categories":1005},[130],{"categories":1007},[],{"categories":1009},[202],{"categories":1011},[93],{"categories":1013},[88],{"categories":1015},[93],{"categories":1017},[88],{"categories":1019},[47],{"categories":1021},[105],{"categories":1023},[],{"categories":1025},[116],{"categories":1027},[96],{"categories":1029},[47],{"categories":1031},[173],{"categories":1033},[105],{"categories":1035},[88],{"categories":1037},[47],{"categories":1039},[93],{"categories":1041},[88],{"categories":1043},[47],{"categories":1045},[47],{"categories":1047},[47],{"categories":1049},[47],{"categories":1051},[47],{"categories":1053},[],{"categories":1055},[],{"categories":1057},[105],{"categories":1059},[130],{"categories":1061},[96],{"categories":1063},[47],{"categories":1065},[93],{"categories":1067},[105],{"categories":1069},[47],{"categories":1071},[],{"categories":1073},[127],{"categories":1075},[96],{"categories":1077},[105],{"categories":1079},[47],{"categories":1081},[526],{"categories":1083},[239],{"categories":1085},[],{"categories":1087},[93],{"categories":1089},[47],{"categories":1091},[],{"categories":1093},[83],{"categories":1095},[],{"categories":1097},[47],{"categories":1099},[47],{"categories":1101},[47],{"categories":1103},[173],{"categories":1105},[202],{"categories":1107},[47],{"categories":1109},[105],{"categories":1111},[47],{"categories":1113},[93],{"categories":1115},[],{"categories":1117},[105],{"categories":1119},[47],{"categories":1121},[83],{"categories":1123},[],{"categories":1125},[88],{"categories":1127},[47],{"categories":1129},[127],{"categories":1131},[47,239],{"categories":1133},[47],{"categories":1135},[1136],"Design Systems for AI",{"categories":1138},[47],{"categories":1140},[47],{"categories":1142},[127],{"categories":1144},[47],{"categories":1146},[47],{"categories":1148},[47],{"categories":1150},[88],{"categories":1152},[47],{"categories":1154},[47],{"categories":1156},[47],{"categories":1158},[],{"categories":1160},[47],{"categories":1162},[47],{"categories":1164},[88],{"categories":1166},[47],{"categories":1168},[],{"categories":1170},[93],{"categories":1172},[105],{"categories":1174},[127],{"categories":1176},[105],{"categories":1178},[47],{"categories":1180},[173],{"categories":1182},[127],{"categories":1184},[130],{"categories":1186},[47],{"categories":1188},[47],{"categories":1190},[93],{"categories":1192},[83],{"categories":1194},[501],{"categories":1196},[47],{"categories":1198},[93],{"categories":1200},[47],{"categories":1202},[105],{"categories":1204},[105],{"categories":1206},[],{"categories":1208},[],{"categories":1210},[93],{"categories":1212},[96],{"categories":1214},[],{"categories":1216},[88],{"categories":1218},[47],{"categories":1220},[],{"categories":1222},[173],{"categories":1224},[93],{"categories":1226},[105],{"categories":1228},[173],{"categories":1230},[47],{"categories":1232},[47],{"categories":1234},[173],{"categories":1236},[],{"categories":1238},[],{"categories":1240},[127],{"categories":1242},[93],{"categories":1244},[93],{"categories":1246},[47],{"categories":1248},[47],{"categories":1250},[47],{"categories":1252},[47],{"categories":1254},[88],{"categories":1256},[47],{"categories":1258},[47],{"categories":1260},[],{"categories":1262},[105],{"categories":1264},[105],{"categories":1266},[47],{"categories":1268},[105],{"categories":1270},[88],{"categories":1272},[],{"categories":1274},[47],{"categories":1276},[47],{"categories":1278},[47],{"categories":1280},[47],{"categories":1282},[47],{"categories":1284},[93],{"categories":1286},[83],{"categories":1288},[88],{"categories":1290},[47],{"categories":1292},[93],{"categories":1294},[127],{"categories":1296},[93],{"categories":1298},[116],{"categories":1300},[202],{"categories":1302},[47],{"categories":1304},[93],{"categories":1306},[47],{"categories":1308},[47],{"categories":1310},[],{"categories":1312},[173],{"categories":1314},[],{"categories":1316},[47],{"categories":1318},[47],{"categories":1320},[],{"categories":1322},[105],{"categories":1324},[88],{"categories":1326},[1327],"Visual & Generative Media",{"categories":1329},[93],{"categories":1331},[],{"categories":1333},[47],{"categories":1335},[47],{"categories":1337},[105],{"categories":1339},[239],{"categories":1341},[130],{"categories":1343},[501],{"categories":1345},[105],{"categories":1347},[202],{"categories":1349},[47],{"categories":1351},[173],{"categories":1353},[47],{"categories":1355},[47],{"categories":1357},[105],{"categories":1359},[93],{"categories":1361},[47],{"categories":1363},[],{"categories":1365},[],{"categories":1367},[93],{"categories":1369},[105],{"categories":1371},[83],{"categories":1373},[93],{"categories":1375},[465],{"categories":1377},[47],{"categories":1379},[96],{"categories":1381},[47],{"categories":1383},[88],{"categories":1385},[],{"categories":1387},[47],{"categories":1389},[96],{"categories":1391},[47],{"categories":1393},[47],{"categories":1395},[47],{"categories":1397},[96],{"categories":1399},[47],{"categories":1401},[47],{"categories":1403},[202],{"categories":1405},[47],{"categories":1407},[410],{"categories":1409},[47],{"categories":1411},[93],{"categories":1413},[47],{"categories":1415},[47],{"categories":1417},[47],{"categories":1419},[47],{"categories":1421},[173],{"categories":1423},[93],{"categories":1425},[],{"categories":1427},[93],{"categories":1429},[],{"categories":1431},[239],{"categories":1433},[105],{"categories":1435},[],{"categories":1437},[465],{"categories":1439},[47],{"categories":1441},[93],{"categories":1443},[47],{"categories":1445},[173,47],{"categories":1447},[83],{"categories":1449},[47],{"categories":1451},[173],{"categories":1453},[],{"categories":1455},[47],{"categories":1457},[83],{"categories":1459},[1460],"Medical Imaging & Radiology",{"categories":1462},[47],{"categories":1464},[173],{"categories":1466},[93],{"categories":1468},[105],{"categories":1470},[],{"categories":1472},[47],{"categories":1474},[47],{"categories":1476},[47],{"categories":1478},[],{"categories":1480},[],{"categories":1482},[47],{"categories":1484},[410],{"categories":1486},[47],{"categories":1488},[83],{"categories":1490},[47],{"categories":1492},[47],{"categories":1494},[],{"categories":1496},[93],{"categories":1498},[47],{"categories":1500},[96],{"categories":1502},[105],{"categories":1504},[47],{"categories":1506},[410],{"categories":1508},[47],{"categories":1510},[93],{"categories":1512},[47],{"categories":1514},[47],{"categories":1516},[47],{"categories":1518},[173],{"categories":1520},[93],{"categories":1522},[239],{"categories":1524},[173],{"categories":1526},[88],{"categories":1528},[93],{"categories":1530},[127],{"categories":1532},[47],{"categories":1534},[47],{"categories":1536},[96],{"categories":1538},[47],{"categories":1540},[47],{"categories":1542},[47],{"categories":1544},[93],{"categories":1546},[105],{"categories":1548},[105],{"categories":1550},[47],{"categories":1552},[96],{"categories":1554},[],{"categories":1556},[127],{"categories":1558},[],{"categories":1560},[96],{"categories":1562},[93],{"categories":1564},[47],{"categories":1566},[93],{"categories":1568},[1136],{"categories":1570},[1136],{"categories":1572},[173],{"categories":1574},[47],{"categories":1576},[47],{"categories":1578},[93],{"categories":1580},[105],{"categories":1582},[173],{"categories":1584},[93],{"categories":1586},[127],{"categories":1588},[],{"categories":1590},[47],{"categories":1592},[],{"categories":1594},[47],{"categories":1596},[47],{"categories":1598},[47],{"categories":1600},[47],{"categories":1602},[93],{"categories":1604},[1605],"Contract Review & E-Discovery",{"categories":1607},[47],{"categories":1609},[173],{"categories":1611},[47],{"categories":1613},[83],{"categories":1615},[47],{"categories":1617},[127],{"categories":1619},[47],{"categories":1621},[47],{"categories":1623},[202],{"categories":1625},[105],{"categories":1627},[47],{"categories":1629},[47],{"categories":1631},[93],{"categories":1633},[93],{"categories":1635},[812],{"categories":1637},[47],{"categories":1639},[47],{"categories":1641},[93],{"categories":1643},[93],{"categories":1645},[47],{"categories":1647},[47],{"categories":1649},[93],{"categories":1651},[47],{"categories":1653},[47],{"categories":1655},[410],{"categories":1657},[387],{"categories":1659},[47],{"categories":1661},[93],{"categories":1663},[47],{"categories":1665},[1666],"Law-Firm Practice & Adoption",{"categories":1668},[47],{"categories":1670},[93],{"categories":1672},[173],{"categories":1674},[47],{"categories":1676},[47],{"categories":1678},[47],{"categories":1680},[],{"categories":1682},[],{"categories":1684},[105],{"categories":1686},[47],{"categories":1688},[],{"categories":1690},[93],{"categories":1692},[83],{"categories":1694},[239],{"categories":1696},[47],{"categories":1698},[],{"categories":1700},[83],{"categories":1702},[88],{"categories":1704},[47],{"categories":1706},[202],{"categories":1708},[],{"categories":1710},[88],{"categories":1712},[88],{"categories":1714},[],{"categories":1716},[47],{"categories":1718},[96],{"categories":1720},[47],{"categories":1722},[105],{"categories":1724},[],{"categories":1726},[],{"categories":1728},[],{"categories":1730},[],{"categories":1732},[47],{"categories":1734},[93],{"categories":1736},[239],{"categories":1738},[47],{"categories":1740},[83],{"categories":1742},[105],{"categories":1744},[47],{"categories":1746},[47],{"categories":1748},[105],{"categories":1750},[96],{"categories":1752},[47],{"categories":1754},[47],{"categories":1756},[47],{"categories":1758},[837],{"categories":1760},[47],{"categories":1762},[47],{"categories":1764},[202],{"categories":1766},[105],{"categories":1768},[88],{"categories":1770},[47],{"categories":1772},[47],{"categories":1774},[173],{"categories":1776},[47],{"categories":1778},[47],{"categories":1780},[47],{"categories":1782},[47],{"categories":1784},[93],{"categories":1786},[47,83],{"categories":1788},[410],{"categories":1790},[47],{"categories":1792},[47],{"categories":1794},[105],{"categories":1796},[105],{"categories":1798},[173],{"categories":1800},[93],{"categories":1802},[105],{"categories":1804},[47],{"categories":1806},[47],{"categories":1808},[],{"categories":1810},[],{"categories":1812},[47],{"categories":1814},[93],{"categories":1816},[],{"categories":1818},[47],{"categories":1820},[105],{"categories":1822},[130],{"categories":1824},[127],{"categories":1826},[173],{"categories":1828},[47],{"categories":1830},[47],{"categories":1832},[105],{"categories":1834},[],{"categories":1836},[93],{"categories":1838},[47],{"categories":1840},[47],{"categories":1842},[47],{"categories":1844},[47],{"categories":1846},[],{"categories":1848},[93],{"categories":1850},[47],{"categories":1852},[47],{"categories":1854},[],{"categories":1856},[93],{"categories":1858},[47],{"categories":1860},[47],{"categories":1862},[88],{"categories":1864},[47],{"categories":1866},[47],{"categories":1868},[],{"categories":1870},[83],{"categories":1872},[47],{"categories":1874},[47],{"categories":1876},[173],{"categories":1878},[105],{"categories":1880},[47],{"categories":1882},[83],{"categories":1884},[47],{"categories":1886},[105],{"categories":1888},[202],{"categories":1890},[93],{"categories":1892},[93],{"categories":1894},[47],{"categories":1896},[47],{"categories":1898},[47,173],{"categories":1900},[47],{"categories":1902},[93],{"categories":1904},[127],{"categories":1906},[47],{"categories":1908},[127],{"categories":1910},[93],{"categories":1912},[173],{"categories":1914},[47],{"categories":1916},[],{"categories":1918},[105],{"categories":1920},[239],{"categories":1922},[173],{"categories":1924},[105],{"categories":1926},[47],{"categories":1928},[96],{"categories":1930},[47],{"categories":1932},[47],{"categories":1934},[93],{"categories":1936},[],{"categories":1938},[],{"categories":1940},[47],{"categories":1942},[],{"categories":1944},[],{"categories":1946},[96],{"categories":1948},[105],{"categories":1950},[47],{"categories":1952},[93],{"categories":1954},[93],{"categories":1956},[88],{"categories":1958},[93],{"categories":1960},[239],{"categories":1962},[47],{"categories":1964},[47],{"categories":1966},[47],{"categories":1968},[116],{"categories":1970},[47],{"categories":1972},[47],{"categories":1974},[105],{"categories":1976},[93],{"categories":1978},[47],{"categories":1980},[47],{"categories":1982},[354],{"categories":1984},[812],{"categories":1986},[],{"categories":1988},[173],{"categories":1990},[1666],{"categories":1992},[105],{"categories":1994},[],{"categories":1996},[],{"categories":1998},[93],{"categories":2000},[],{"categories":2002},[],{"categories":2004},[47],{"categories":2006},[202],{"categories":2008},[47],{"categories":2010},[202],{"categories":2012},[93],{"categories":2014},[47],{"categories":2016},[105],{"categories":2018},[96],{"categories":2020},[],{"categories":2022},[47],{"categories":2024},[47],{"categories":2026},[105],{"categories":2028},[1605],{"categories":2030},[173],{"categories":2032},[173],{"categories":2034},[47],{"categories":2036},[93],{"categories":2038},[83],{"categories":2040},[47],{"categories":2042},[47],{"categories":2044},[47],{"categories":2046},[173],{"categories":2048},[173],{"categories":2050},[93],{"categories":2052},[93],{"categories":2054},[93],{"categories":2056},[47],{"categories":2058},[47],{"categories":2060},[],{"categories":2062},[47],{"categories":2064},[],{"categories":2066},[2067],"Interaction & Product Design",{"categories":2069},[47],{"categories":2071},[93],{"categories":2073},[105],{"categories":2075},[268],{"categories":2077},[127],{"categories":2079},[105],{"categories":2081},[47],{"categories":2083},[47],{"categories":2085},[105],{"categories":2087},[83],{"categories":2089},[93],{"categories":2091},[47],{"categories":2093},[],{"categories":2095},[93],{"categories":2097},[93],{"categories":2099},[],{"categories":2101},[105],{"categories":2103},[47],{"categories":2105},[83],{"categories":2107},[2067],{"categories":2109},[47],{"categories":2111},[83],{"categories":2113},[83],{"categories":2115},[],{"categories":2117},[93],{"categories":2119},[105],{"categories":2121},[],{"categories":2123},[93],{"categories":2125},[127],{"categories":2127},[47],{"categories":2129},[93],{"categories":2131},[47],{"categories":2133},[93],{"categories":2135},[47],{"categories":2137},[47],{"categories":2139},[127],{"categories":2141},[130],{"categories":2143},[47],{"categories":2145},[96],{"categories":2147},[105],{"categories":2149},[2150],"Coding Agents & Dev Productivity",{"categories":2152},[127],{"categories":2154},[173],{"categories":2156},[47],{"categories":2158},[47],{"categories":2160},[],{"categories":2162},[47],{"categories":2164},[812],{"categories":2166},[],{"categories":2168},[47],{"categories":2170},[239],{"categories":2172},[47],{"categories":2174},[127],{"categories":2176},[],{"categories":2178},[],{"categories":2180},[47],{"categories":2182},[],{"categories":2184},[93],{"categories":2186},[47],{"categories":2188},[],{"categories":2190},[105],{"categories":2192},[105],{"categories":2194},[47],{"categories":2196},[130],{"categories":2198},[],{"categories":2200},[47],{"categories":2202},[47],{"categories":2204},[47],{"categories":2206},[130],{"categories":2208},[105],{"categories":2210},[93],{"categories":2212},[],{"categories":2214},[],{"categories":2216},[47],{"categories":2218},[47],{"categories":2220},[93],{"categories":2222},[93],{"categories":2224},[331],{"categories":2226},[105],{"categories":2228},[105],{"categories":2230},[93],{"categories":2232},[127],{"categories":2234},[127],{"categories":2236},[93],{"categories":2238},[93],{"categories":2240},[47],{"categories":2242},[83],{"categories":2244},[2067],{"categories":2246},[47,239],{"categories":2248},[130],{"categories":2250},[],{"categories":2252},[173],{"categories":2254},[105],{"categories":2256},[83],{"categories":2258},[47],{"categories":2260},[93],{"categories":2262},[2263],"The Designer's Role & Craft",{"categories":2265},[173],{"categories":2267},[],{"categories":2269},[93],{"categories":2271},[47],{"categories":2273},[93],{"categories":2275},[93],{"categories":2277},[47],{"categories":2279},[202],{"categories":2281},[47],{"categories":2283},[105],{"categories":2285},[47],{"categories":2287},[173],{"categories":2289},[47],{"categories":2291},[],{"categories":2293},[93],{"categories":2295},[173],{"categories":2297},[47],{"categories":2299},[47],{"categories":2301},[47],{"categories":2303},[2304],"AI UX Patterns",{"categories":2306},[93],{"categories":2308},[93],{"categories":2310},[93],{"categories":2312},[93],{"categories":2314},[202],{"categories":2316},[130],{"categories":2318},[47],{"categories":2320},[93],{"categories":2322},[47],{"categories":2324},[1136],{"categories":2326},[],{"categories":2328},[202],{"categories":2330},[93],{"categories":2332},[127],{"categories":2334},[105],{"categories":2336},[47],{"categories":2338},[93],{"categories":2340},[],{"categories":2342},[],{"categories":2344},[47],{"categories":2346},[93],{"categories":2348},[47],{"categories":2350},[93],{"categories":2352},[331],{"categories":2354},[173],{"categories":2356},[47],{"categories":2358},[127],{"categories":2360},[105],{"categories":2362},[47],{"categories":2364},[93],{"categories":2366},[93],{"categories":2368},[],{"categories":2370},[47],{"categories":2372},[],{"categories":2374},[],{"categories":2376},[47],{"categories":2378},[47],{"categories":2380},[47],{"categories":2382},[93],{"categories":2384},[105],{"categories":2386},[],{"categories":2388},[],{"categories":2390},[130],{"categories":2392},[116],{"categories":2394},[47],{"categories":2396},[47],{"categories":2398},[130],{"categories":2400},[47],{"categories":2402},[127],{"categories":2404},[47],{"categories":2406},[47],{"categories":2408},[47],{"categories":2410},[93],{"categories":2412},[47],{"categories":2414},[93],{"categories":2416},[47],{"categories":2418},[47],{"categories":2420},[93],{"categories":2422},[],{"categories":2424},[],{"categories":2426},[47],{"categories":2428},[239],{"categories":2430},[47],{"categories":2432},[],{"categories":2434},[],{"categories":2436},[173],{"categories":2438},[837],{"categories":2440},[93],{"categories":2442},[83],{"categories":2444},[2263],{"categories":2446},[],{"categories":2448},[],{"categories":2450},[47],{"categories":2452},[],{"categories":2454},[],{"categories":2456},[105],{"categories":2458},[127],{"categories":2460},[202],{"categories":2462},[88],{"categories":2464},[47],{"categories":2466},[47],{"categories":2468},[88],{"categories":2470},[],{"categories":2472},[173],{"categories":2474},[96],{"categories":2476},[47],{"categories":2478},[47],{"categories":2480},[93],{"categories":2482},[88],{"categories":2484},[47],{"categories":2486},[47],{"categories":2488},[83],{"categories":2490},[47],{"categories":2492},[],{"categories":2494},[83],{"categories":2496},[47],{"categories":2498},[202],{"categories":2500},[93],{"categories":2502},[127],{"categories":2504},[47],{"categories":2506},[105],{"categories":2508},[47],{"categories":2510},[47],{"categories":2512},[88],{"categories":2514},[47],{"categories":2516},[47],{"categories":2518},[47],{"categories":2520},[93],{"categories":2522},[],{"categories":2524},[47],{"categories":2526},[105],{"categories":2528},[83],{"categories":2530},[47],{"categories":2532},[47],{"categories":2534},[47],{"categories":2536},[],{"categories":2538},[47],{"categories":2540},[410],{"categories":2542},[93],{"categories":2544},[88],{"categories":2546},[127],{"categories":2548},[47],{"categories":2550},[47],{"categories":2552},[],{"categories":2554},[88],{"categories":2556},[88],{"categories":2558},[47],{"categories":2560},[47],{"categories":2562},[96],{"categories":2564},[47],{"categories":2566},[47],{"categories":2568},[47],{"categories":2570},[47],{"categories":2572},[105],{"categories":2574},[105],{"categories":2576},[47],{"categories":2578},[],{"categories":2580},[105],{"categories":2582},[47],{"categories":2584},[105],{"categories":2586},[93],{"categories":2588},[501],{"categories":2590},[],{"categories":2592},[],{"categories":2594},[47],{"categories":2596},[127],{"categories":2598},[],{"categories":2600},[239],{"categories":2602},[47],{"categories":2604},[47],{"categories":2606},[173],{"categories":2608},[801],{"categories":2610},[],{"categories":2612},[47],{"categories":2614},[47],{"categories":2616},[47],{"categories":2618},[105],{"categories":2620},[47],{"categories":2622},[47],{"categories":2624},[47,239],{"categories":2626},[47],{"categories":2628},[47],{"categories":2630},[173],{"categories":2632},[93],{"categories":2634},[],{"categories":2636},[93],{"categories":2638},[93],{"categories":2640},[47],{"categories":2642},[47],{"categories":2644},[47],{"categories":2646},[47],{"categories":2648},[130],{"categories":2650},[47],{"categories":2652},[2304],{"categories":2654},[83],{"categories":2656},[130],{"categories":2658},[83],{"categories":2660},[105],{"categories":2662},[173],{"categories":2664},[93],{"categories":2666},[47],{"categories":2668},[],{"categories":2670},[88],{"categories":2672},[47],{"categories":2674},[47],{"categories":2676},[127],{"categories":2678},[47],{"categories":2680},[47],{"categories":2682},[93],{"categories":2684},[47],{"categories":2686},[47],{"categories":2688},[47],{"categories":2690},[88],{"categories":2692},[],{"categories":2694},[239],{"categories":2696},[47],{"categories":2698},[331],{"categories":2700},[173],{"categories":2702},[173],{"categories":2704},[105],{"categories":2706},[93],{"categories":2708},[47],{"categories":2710},[88],{"categories":2712},[127],{"categories":2714},[47],{"categories":2716},[47],{"categories":2718},[173],{"categories":2720},[93],{"categories":2722},[93],{"categories":2724},[47],{"categories":2726},[47],{"categories":2728},[465],{"categories":2730},[],{"categories":2732},[47],{"categories":2734},[47],{"categories":2736},[47],{"categories":2738},[],{"categories":2740},[],{"categories":2742},[47],{"categories":2744},[47],{"categories":2746},[93],{"categories":2748},[47],{"categories":2750},[47],{"categories":2752},[47],{"categories":2754},[105],{"categories":2756},[47],{"categories":2758},[47],{"categories":2760},[93],{"categories":2762},[47],{"categories":2764},[47],{"categories":2766},[47],{"categories":2768},[47],{"categories":2770},[47],{"categories":2772},[],{"categories":2774},[105],{"categories":2776},[130],{"categories":2778},[47],{"categories":2780},[93],{"categories":2782},[47],{"categories":2784},[],{"categories":2786},[],{"categories":2788},[47],{"categories":2790},[47],{"categories":2792},[47],{"categories":2794},[127],{"categories":2796},[130],{"categories":2798},[],{"categories":2800},[47],{"categories":2802},[173],{"categories":2804},[47],{"categories":2806},[239],{"categories":2808},[1666],{"categories":2810},[127],{"categories":2812},[105],{"categories":2814},[105],{"categories":2816},[105],{"categories":2818},[47],{"categories":2820},[47],{"categories":2822},[127],{"categories":2824},[127],{"categories":2826},[239],{"categories":2828},[93],{"categories":2830},[],{"categories":2832},[127],{"categories":2834},[47],{"categories":2836},[83],{"categories":2838},[105],{"categories":2840},[47],{"categories":2842},[127],{"categories":2844},[],{"categories":2846},[47],{"categories":2848},[105],{"categories":2850},[105],{"categories":2852},[130],{"categories":2854},[47],{"categories":2856},[127],{"categories":2858},[47],{"categories":2860},[105],{"categories":2862},[93],{"categories":2864},[127],{"categories":2866},[93],{"categories":2868},[239],{"categories":2870},[93],{"categories":2872},[47],{"categories":2874},[47],{"categories":2876},[47],{"categories":2878},[47],{"categories":2880},[105],{"categories":2882},[47],{"categories":2884},[],{"categories":2886},[93],{"categories":2888},[88],{"categories":2890},[105],{"categories":2892},[],{"categories":2894},[],{"categories":2896},[47],{"categories":2898},[93],{"categories":2900},[47],{"categories":2902},[47],{"categories":2904},[2905],"Frameworks & Tooling",{"categories":2907},[47],{"categories":2909},[47],{"categories":2911},[105],{"categories":2913},[47],{"categories":2915},[47],{"categories":2917},[],{"categories":2919},[130],{"categories":2921},[130],{"categories":2923},[83],{"categories":2925},[47],{"categories":2927},[93],{"categories":2929},[47],{"categories":2931},[173],{"categories":2933},[],{"categories":2935},[1666],{"categories":2937},[47],{"categories":2939},[105],{"categories":2941},[47],{"categories":2943},[239],{"categories":2945},[239],{"categories":2947},[],{"categories":2949},[93],{"categories":2951},[47],{"categories":2953},[127],{"categories":2955},[127],{"categories":2957},[47],{"categories":2959},[93],{"categories":2961},[],{"categories":2963},[173],{"categories":2965},[47],{"categories":2967},[47],{"categories":2969},[],{"categories":2971},[47],{"categories":2973},[93],{"categories":2975},[47],{"categories":2977},[47],{"categories":2979},[],{"categories":2981},[105],{"categories":2983},[47],{"categories":2985},[105],{"categories":2987},[239],{"categories":2989},[47],{"categories":2991},[47],{"categories":2993},[105],{"categories":2995},[88],{"categories":2997},[47],{"categories":2999},[1666],{"categories":3001},[],{"categories":3003},[93],{"categories":3005},[83],{"categories":3007},[47],{"categories":3009},[83],{"categories":3011},[47],{"categories":3013},[],{"categories":3015},[93],{"categories":3017},[47],{"categories":3019},[3020],"AI Design Tooling",{"categories":3022},[173],{"categories":3024},[47],{"categories":3026},[47],{"categories":3028},[105],{"categories":3030},[173],{"categories":3032},[47],{"categories":3034},[105],{"categories":3036},[127],{"categories":3038},[96],{"categories":3040},[105],{"categories":3042},[47],{"categories":3044},[47],{"categories":3046},[93],{"categories":3048},[47],{"categories":3050},[],{"categories":3052},[47],{"categories":3054},[47],{"categories":3056},[93],{"categories":3058},[47],{"categories":3060},[47],{"categories":3062},[47],{"categories":3064},[93],{"categories":3066},[],{"categories":3068},[93],{"categories":3070},[2905],{"categories":3072},[47],{"categories":3074},[47],{"categories":3076},[93],{"categories":3078},[93],{"categories":3080},[105],{"categories":3082},[105],{"categories":3084},[],{"categories":3086},[105],{"categories":3088},[47],{"categories":3090},[47],{"categories":3092},[93],{"categories":3094},[88],{"categories":3096},[47],{"categories":3098},[],{"categories":3100},[47],{"categories":3102},[47],{"categories":3104},[2067],{"categories":3106},[],{"categories":3108},[47],{"categories":3110},[47],{"categories":3112},[47],{"categories":3114},[47],{"categories":3116},[173],{"categories":3118},[47],{"categories":3120},[],{"categories":3122},[47],{"categories":3124},[47],{"categories":3126},[47],{"categories":3128},[202],{"categories":3130},[127],{"categories":3132},[47],{"categories":3134},[47],{"categories":3136},[1666],{"categories":3138},[83],{"categories":3140},[47],{"categories":3142},[47],{"categories":3144},[130],{"categories":3146},[47],{"categories":3148},[47],{"categories":3150},[127],{"categories":3152},[93],{"categories":3154},[],{"categories":3156},[47],{"categories":3158},[47],{"categories":3160},[173],{"categories":3162},[47],{"categories":3164},[202],{"categories":3166},[93],{"categories":3168},[47],{"categories":3170},[93],{"categories":3172},[],{"categories":3174},[],{"categories":3176},[],{"categories":3178},[83],{"categories":3180},[127],{"categories":3182},[93],{"categories":3184},[47],{"categories":3186},[47],{"categories":3188},[47],{"categories":3190},[47],{"categories":3192},[354],{"categories":3194},[173],{"categories":3196},[93],{"categories":3198},[47],{"categories":3200},[],{"categories":3202},[93],{"categories":3204},[93],{"categories":3206},[],{"categories":3208},[47],{"categories":3210},[93],{"categories":3212},[47],{"categories":3214},[],{"categories":3216},[47],{"categories":3218},[47],{"categories":3220},[127],{"categories":3222},[173],{"categories":3224},[93],{"categories":3226},[173],{"categories":3228},[93],{"categories":3230},[47],{"categories":3232},[88],{"categories":3234},[],{"categories":3236},[],{"categories":3238},[47],{"categories":3240},[47],{"categories":3242},[83],{"categories":3244},[93],{"categories":3246},[127],{"categories":3248},[],{"categories":3250},[173],{"categories":3252},[],{"categories":3254},[105],{"categories":3256},[47],{"categories":3258},[105],{"categories":3260},[173],{"categories":3262},[105],{"categories":3264},[47],{"categories":3266},[],{"categories":3268},[47],{"categories":3270},[47],{"categories":3272},[],{"categories":3274},[47],{"categories":3276},[202],{"categories":3278},[47],{"categories":3280},[239],{"categories":3282},[105],{"categories":3284},[47],{"categories":3286},[],{"categories":3288},[93],{"categories":3290},[47],{"categories":3292},[83],{"categories":3294},[465],{"categories":3296},[47],{"categories":3298},[93],{"categories":3300},[47],{"categories":3302},[93],{"categories":3304},[47],{"categories":3306},[47],{"categories":3308},[47],{"categories":3310},[],{"categories":3312},[47],{"categories":3314},[83],{"categories":3316},[47],{"categories":3318},[88],{"categories":3320},[105],{"categories":3322},[173],{"categories":3324},[],{"categories":3326},[47],{"categories":3328},[],{"categories":3330},[],{"categories":3332},[93],{"categories":3334},[47],{"categories":3336},[105],{"categories":3338},[173],{"categories":3340},[127],{"categories":3342},[47],{"categories":3344},[127],{"categories":3346},[93],{"categories":3348},[173],{"categories":3350},[47],{"categories":3352},[],{"categories":3354},[47],{"categories":3356},[116],{"categories":3358},[93],{"categories":3360},[173],{"categories":3362},[127],{"categories":3364},[88],{"categories":3366},[105],{"categories":3368},[47],{"categories":3370},[47],{"categories":3372},[127],{"categories":3374},[202],{"categories":3376},[],{"categories":3378},[],{"categories":3380},[130],{"categories":3382},[410],{"categories":3384},[47],{"categories":3386},[93],{"categories":3388},[47,105],{"categories":3390},[127],{"categories":3392},[47],{"categories":3394},[47],{"categories":3396},[47],{"categories":3398},[47],{"categories":3400},[93],{"categories":3402},[47],{"categories":3404},[93],{"categories":3406},[47],{"categories":3408},[47],{"categories":3410},[47],{"categories":3412},[],{"categories":3414},[47],{"categories":3416},[1136],{"categories":3418},[105],{"categories":3420},[173],{"categories":3422},[47],{"categories":3424},[47],{"categories":3426},[47],{"categories":3428},[130],{"categories":3430},[93],{"categories":3432},[202],{"categories":3434},[239],{"categories":3436},[],{"categories":3438},[47],{"categories":3440},[88],{"categories":3442},[93],{"categories":3444},[83],{"categories":3446},[93],{"categories":3448},[47],{"categories":3450},[93],{"categories":3452},[93],{"categories":3454},[96],{"categories":3456},[105],{"categories":3458},[47],{"categories":3460},[47],{"categories":3462},[],{"categories":3464},[],{"categories":3466},[],{"categories":3468},[239],{"categories":3470},[47],{"categories":3472},[127],{"categories":3474},[47],{"categories":3476},[47],{"categories":3478},[47],{"categories":3480},[47],{"categories":3482},[],{"categories":3484},[47],{"categories":3486},[130],{"categories":3488},[88],{"categories":3490},[93],{"categories":3492},[47],{"categories":3494},[],{"categories":3496},[47],{"categories":3498},[93],{"categories":3500},[47],{"categories":3502},[239],{"categories":3504},[],{"categories":3506},[173],{"categories":3508},[173],{"categories":3510},[],{"categories":3512},[105],{"categories":3514},[47],{"categories":3516},[173],{"categories":3518},[47],{"categories":3520},[88],{"categories":3522},[93],{"categories":3524},[47],{"categories":3526},[],{"categories":3528},[127],{"categories":3530},[47],{"categories":3532},[47],{"categories":3534},[47],{"categories":3536},[173],{"categories":3538},[93],{"categories":3540},[127],{"categories":3542},[],{"categories":3544},[93],{"categories":3546},[88],{"categories":3548},[93],{"categories":3550},[173],{"categories":3552},[47],{"categories":3554},[47],{"categories":3556},[47],{"categories":3558},[410],{"categories":3560},[47],{"categories":3562},[],{"categories":3564},[47],{"categories":3566},[47],{"categories":3568},[239],{"categories":3570},[127],{"categories":3572},[130],{"categories":3574},[501],{"categories":3576},[130],{"categories":3578},[47],{"categories":3580},[],{"categories":3582},[],{"categories":3584},[],{"categories":3586},[93],{"categories":3588},[93],{"categories":3590},[105],{"categories":3592},[47],{"categories":3594},[387],{"categories":3596},[105],{"categories":3598},[47],{"categories":3600},[47],{"categories":3602},[47],{"categories":3604},[47],{"categories":3606},[93],{"categories":3608},[],{"categories":3610},[],{"categories":3612},[47],{"categories":3614},[],{"categories":3616},[47],{"categories":3618},[93],{"categories":3620},[173],{"categories":3622},[47],{"categories":3624},[47],{"categories":3626},[],{"categories":3628},[93],{"categories":3630},[96],{"categories":3632},[47],{"categories":3634},[173],{"categories":3636},[47],{"categories":3638},[93],{"categories":3640},[88],{"categories":3642},[47],{"categories":3644},[202],{"categories":3646},[93],{"categories":3648},[47],{"categories":3650},[47],{"categories":3652},[801],{"categories":3654},[47],{"categories":3656},[93],{"categories":3658},[47],{"categories":3660},[105],{"categories":3662},[47],{"categories":3664},[465],{"categories":3666},[173],{"categories":3668},[],{"categories":3670},[47],{"categories":3672},[127],{"categories":3674},[410],{"categories":3676},[93],{"categories":3678},[47],{"categories":3680},[],{"categories":3682},[127],{"categories":3684},[331],{"categories":3686},[93],{"categories":3688},[93],{"categories":3690},[93],{"categories":3692},[47],{"categories":3694},[47],{"categories":3696},[93],{"categories":3698},[],{"categories":3700},[88],{"categories":3702},[47],{"categories":3704},[88],{"categories":3706},[93],{"categories":3708},[],{"categories":3710},[105],{"categories":3712},[47],{"categories":3714},[47],{"categories":3716},[83],{"categories":3718},[127],{"categories":3720},[239],{"categories":3722},[116],{"categories":3724},[93],{"categories":3726},[93],{"categories":3728},[47],{"categories":3730},[93],{"categories":3732},[47],{"categories":3734},[83],{"categories":3736},[],{"categories":3738},[47],{"categories":3740},[47],{"categories":3742},[47],{"categories":3744},[93],{"categories":3746},[47],{"categories":3748},[],{"categories":3750},[],{"categories":3752},[173],{"categories":3754},[93],{"categories":3756},[47,88],{"categories":3758},[93],{"categories":3760},[47],{"categories":3762},[],{"categories":3764},[83],{"categories":3766},[130],{"categories":3768},[88],{"categories":3770},[47],{"categories":3772},[105],{"categories":3774},[47],{"categories":3776},[47],{"categories":3778},[93],{"categories":3780},[47],{"categories":3782},[47],{"categories":3784},[47],{"categories":3786},[127],{"categories":3788},[1136],{"categories":3790},[93],{"categories":3792},[47],{"categories":3794},[],{"categories":3796},[],{"categories":3798},[47],{"categories":3800},[93],{"categories":3802},[47],{"categories":3804},[47],{"categories":3806},[239],{"categories":3808},[],{"categories":3810},[47],{"categories":3812},[93],{"categories":3814},[116],{"categories":3816},[93],{"categories":3818},[410],{"categories":3820},[],{"categories":3822},[354],{"categories":3824},[93],{"categories":3826},[47],{"categories":3828},[202],{"categories":3830},[93],{"categories":3832},[47],{"categories":3834},[130],{"categories":3836},[96],{"categories":3838},[93],{"categories":3840},[47],{"categories":3842},[410],{"categories":3844},[47],{"categories":3846},[239],{"categories":3848},[],{"categories":3850},[47],{"categories":3852},[202],{"categories":3854},[173],{"categories":3856},[47],{"categories":3858},[47],{"categories":3860},[47],{"categories":3862},[],{"categories":3864},[202],{"categories":3866},[127],{"categories":3868},[47],{"categories":3870},[47],{"categories":3872},[47],{"categories":3874},[501],{"categories":3876},[83],{"categories":3878},[47],{"categories":3880},[47],{"categories":3882},[],{"categories":3884},[],{"categories":3886},[173],{"categories":3888},[47],{"categories":3890},[130],{"categories":3892},[202],{"categories":3894},[93],{"categories":3896},[47],{"categories":3898},[47],{"categories":3900},[202],{"categories":3902},[127],{"categories":3904},[],{"categories":3906},[47],{"categories":3908},[47],{"categories":3910},[],{"categories":3912},[47],{"categories":3914},[47],{"categories":3916},[526],{"categories":3918},[47],{"categories":3920},[47],{"categories":3922},[93],{"categories":3924},[105],{"categories":3926},[410],{"categories":3928},[47],{"categories":3930},[47],{"categories":3932},[47],{"categories":3934},[],{"categories":3936},[47,105],{"categories":3938},[127],{"categories":3940},[93],{"categories":3942},[105],{"categories":3944},[93],{"categories":3946},[837],{"categories":3948},[105],{"categories":3950},[93],{"categories":3952},[47],{"categories":3954},[83],{"categories":3956},[],{"categories":3958},[],{"categories":3960},[93],{"categories":3962},[47],{"categories":3964},[105],{"categories":3966},[47],{"categories":3968},[83],{"categories":3970},[105],{"categories":3972},[105],{"categories":3974},[47],{"categories":3976},[202],{"categories":3978},[47],{"categories":3980},[105],{"categories":3982},[47],{"categories":3984},[],{"categories":3986},[47],{"categories":3988},[173,47],{"categories":3990},[239],{"categories":3992},[83],{"categories":3994},[47],{"categories":3996},[],{"categories":3998},[47],{"categories":4000},[47],{"categories":4002},[88],{"categories":4004},[47],{"categories":4006},[88],{"categories":4008},[47],{"categories":4010},[47],{"categories":4012},[331],{"categories":4014},[47],{"categories":4016},[88],{"categories":4018},[105],{"categories":4020},[130],{"categories":4022},[93],{"categories":4024},[105],{"categories":4026},[47],{"categories":4028},[47],{"categories":4030},[127],{"categories":4032},[202],{"categories":4034},[173],{"categories":4036},[47],{"categories":4038},[47],{"categories":4040},[47],{"categories":4042},[47],{"categories":4044},[83],{"categories":4046},[47],{"categories":4048},[93],{"categories":4050},[93],{"categories":4052},[105],{"categories":4054},[127],{"categories":4056},[105],{"categories":4058},[105],{"categories":4060},[47],{"categories":4062},[47],{"categories":4064},[],{"categories":4066},[],{"categories":4068},[130],{"categories":4070},[47],{"categories":4072},[105],{"categories":4074},[47],{"categories":4076},[173],{"categories":4078},[410],{"categories":4080},[354],{"categories":4082},[331],{"categories":4084},[47],{"categories":4086},[47],{"categories":4088},[47],{"categories":4090},[130],{"categories":4092},[47],{"categories":4094},[47],{"categories":4096},[47],{"categories":4098},[47],{"categories":4100},[47],{"categories":4102},[47],{"categories":4104},[93],{"categories":4106},[83],{"categories":4108},[93],{"categories":4110},[47,88],{"categories":4112},[],{"categories":4114},[173],{"categories":4116},[],{"categories":4118},[96],{"categories":4120},[47],{"categories":4122},[127],{"categories":4124},[83],{"categories":4126},[47],{"categories":4128},[83],{"categories":4130},[93],{"categories":4132},[130],{"categories":4134},[93],{"categories":4136},[93],{"categories":4138},[47],{"categories":4140},[47],{"categories":4142},[88],{"categories":4144},[93],{"categories":4146},[105],{"categories":4148},[202],{"categories":4150},[47],{"categories":4152},[],{"categories":4154},[127],{"categories":4156},[47],{"categories":4158},[47],{"categories":4160},[47],{"categories":4162},[47],{"categories":4164},[47],{"categories":4166},[47],{"categories":4168},[105],{"categories":4170},[127],{"categories":4172},[105],{"categories":4174},[105],{"categories":4176},[47],{"categories":4178},[47],{"categories":4180},[47],{"categories":4182},[354],{"categories":4184},[47],{"categories":4186},[93],{"categories":4188},[127],{"categories":4190},[47],{"categories":4192},[47],{"categories":4194},[47],{"categories":4196},[93],{"categories":4198},[47],{"categories":4200},[47],{"categories":4202},[47],{"categories":4204},[2905],{"categories":4206},[4207],"Clinical AI",{"categories":4209},[173],{"categories":4211},[47],{"categories":4213},[47],{"categories":4215},[47],{"categories":4217},[239],{"categories":4219},[2304],{"categories":4221},[47],{"categories":4223},[96],{"categories":4225},[47],{"categories":4227},[93],{"categories":4229},[47],{"categories":4231},[47],{"categories":4233},[127],{"categories":4235},[47],{"categories":4237},[93],{"categories":4239},[105],{"categories":4241},[202],{"categories":4243},[47],{"categories":4245},[47],{"categories":4247},[88],{"categories":4249},[47],{"categories":4251},[47],{"categories":4253},[465],{"categories":4255},[47],{"categories":4257},[],{"categories":4259},[47],{"categories":4261},[105],{"categories":4263},[83],{"categories":4265},[47],{"categories":4267},[],{"categories":4269},[],{"categories":4271},[47],{"categories":4273},[],{"categories":4275},[88],{"categories":4277},[47],{"categories":4279},[47],{"categories":4281},[93],{"categories":4283},[127],{"categories":4285},[127],{"categories":4287},[127],{"categories":4289},[127],{"categories":4291},[],{"categories":4293},[83],{"categories":4295},[93],{"categories":4297},[127],{"categories":4299},[47],{"categories":4301},[526],{"categories":4303},[96],{"categories":4305},[47],{"categories":4307},[83],{"categories":4309},[47],{"categories":4311},[93],{"categories":4313},[47],{"categories":4315},[47],{"categories":4317},[47,93],{"categories":4319},[93],{"categories":4321},[239],{"categories":4323},[127],{"categories":4325},[93],{"categories":4327},[127],{"categories":4329},[93],{"categories":4331},[47],{"categories":4333},[],{"categories":4335},[127],{"categories":4337},[202],{"categories":4339},[83],{"categories":4341},[47],{"categories":4343},[47],{"categories":4345},[],{"categories":4347},[105],{"categories":4349},[],{"categories":4351},[83],{"categories":4353},[93],{"categories":4355},[127],{"categories":4357},[47],{"categories":4359},[127],{"categories":4361},[83],{"categories":4363},[127],{"categories":4365},[127],{"categories":4367},[],{"categories":4369},[88],{"categories":4371},[93],{"categories":4373},[127],{"categories":4375},[127],{"categories":4377},[127],{"categories":4379},[127],{"categories":4381},[127],{"categories":4383},[127],{"categories":4385},[127],{"categories":4387},[127],{"categories":4389},[127],{"categories":4391},[127],{"categories":4393},[130],{"categories":4395},[83],{"categories":4397},[47],{"categories":4399},[47],{"categories":4401},[93],{"categories":4403},[93],{"categories":4405},[],{"categories":4407},[47],{"categories":4409},[47,83],{"categories":4411},[],{"categories":4413},[93],{"categories":4415},[47],{"categories":4417},[127],{"categories":4419},[93],{"categories":4421},[837],{"categories":4423},[47],{"categories":4425},[47],{"categories":4427},[47],{"categories":4429},[47],{"categories":4431},[47],{"categories":4433},[331],{"categories":4435},[47],{"categories":4437},[47],{"categories":4439},[93],{"categories":4441},[47],{"categories":4443},[88],{"categories":4445},[96],{"categories":4447},[93],{"categories":4449},[93],{"categories":4451},[],{"categories":4453},[93],{"categories":4455},[173],{"categories":4457},[127],{"categories":4459},[47],{"categories":4461},[],{"categories":4463},[96],{"categories":4465},[],{"categories":4467},[105],{"categories":4469},[93],{"categories":4471},[173],{"categories":4473},[47],{"categories":4475},[],{"categories":4477},[47],{"categories":4479},[],{"categories":4481},[202],{"categories":4483},[47],{"categories":4485},[],{"categories":4487},[],{"categories":4489},[127],{"categories":4491},[83],{"categories":4493},[47],{"categories":4495},[47],{"categories":4497},[88],{"categories":4499},[47],{"categories":4501},[47],{"categories":4503},[47],{"categories":4505},[88],{"categories":4507},[88],{"categories":4509},[173],{"categories":4511},[],{"categories":4513},[47],{"categories":4515},[127],{"categories":4517},[],{"categories":4519},[47],{"categories":4521},[47],{"categories":4523},[173],{"categories":4525},[47],{"categories":4527},[202],{"categories":4529},[47],{"categories":4531},[239],{"categories":4533},[],{"categories":4535},[93],{"categories":4537},[202],{"categories":4539},[105],{"categories":4541},[],{"categories":4543},[47],{"categories":4545},[],{"categories":4547},[93],{"categories":4549},[173],{"categories":4551},[105],{"categories":4553},[],{"categories":4555},[2905],{"categories":4557},[88],{"categories":4559},[83],{"categories":4561},[47],{"categories":4563},[130],{"categories":4565},[93],{"categories":4567},[173],{"categories":4569},[105],{"categories":4571},[],{"categories":4573},[],{"categories":4575},[47],{"categories":4577},[83],{"categories":4579},[47],{"categories":4581},[202],{"categories":4583},[],{"categories":4585},[93],{"categories":4587},[93],{"categories":4589},[47],{"categories":4591},[93],{"categories":4593},[47],{"categories":4595},[127],{"categories":4597},[105],{"categories":4599},[47],{"categories":4601},[93],{"categories":4603},[96],{"categories":4605},[47],{"categories":4607},[47],{"categories":4609},[93],{"categories":4611},[47],{"categories":4613},[96],{"categories":4615},[202],{"categories":4617},[127],{"categories":4619},[],{"categories":4621},[202],{"categories":4623},[47],{"categories":4625},[],{"categories":4627},[105],{"categories":4629},[93],{"categories":4631},[],{"categories":4633},[47],{"categories":4635},[47],{"categories":4637},[47],{"categories":4639},[47],{"categories":4641},[47],{"categories":4643},[93],{"categories":4645},[88],{"categories":4647},[83],{"categories":4649},[47],{"categories":4651},[173],{"categories":4653},[105],{"categories":4655},[105],{"categories":4657},[47],{"categories":4659},[130],{"categories":4661},[93],{"categories":4663},[47],{"categories":4665},[47],{"categories":4667},[93],{"categories":4669},[47],{"categories":4671},[88],{"categories":4673},[173],{"categories":4675},[105],{"categories":4677},[93],{"categories":4679},[47],{"categories":4681},[96],{"categories":4683},[47],{"categories":4685},[93],{"categories":4687},[47],{"categories":4689},[47],{"categories":4691},[127],{"categories":4693},[47],{"categories":4695},[],{"categories":4697},[83],{"categories":4699},[47],{"categories":4701},[47],{"categories":4703},[47],{"categories":4705},[105],{"categories":4707},[105],{"categories":4709},[47],{"categories":4711},[105],{"categories":4713},[47],{"categories":4715},[93],{"categories":4717},[47],{"categories":4719},[47],{"categories":4721},[47],{"categories":4723},[47],{"categories":4725},[47],{"categories":4727},[],{"categories":4729},[47],{"categories":4731},[173],{"categories":4733},[88],{"categories":4735},[127],{"categories":4737},[47],{"categories":4739},[93],{"categories":4741},[47],{"categories":4743},[93],{"categories":4745},[47],{"categories":4747},[47],{"categories":4749},[173],{"categories":4751},[93],{"categories":4753},[47],{"categories":4755},[202],{"categories":4757},[47],{"categories":4759},[130],{"categories":4761},[47],{"categories":4763},[47],{"categories":4765},[127],{"categories":4767},[47],{"categories":4769},[47],{"categories":4771},[47],{"categories":4773},[47],{"categories":4775},[93],{"categories":4777},[239],{"categories":4779},[47],{"categories":4781},[105],{"categories":4783},[93],{"categories":4785},[130],{"categories":4787},[],{"categories":4789},[93],{"categories":4791},[105],{"categories":4793},[47],{"categories":4795},[47],{"categories":4797},[2150],{"categories":4799},[173],{"categories":4801},[268],{"categories":4803},[47],{"categories":4805},[47],{"categories":4807},[47],{"categories":4809},[47],{"categories":4811},[83],{"categories":4813},[47],{"categories":4815},[47],{"categories":4817},[105],{"categories":4819},[88],{"categories":4821},[105],{"categories":4823},[47],{"categories":4825},[],{"categories":4827},[93],{"categories":4829},[93],{"categories":4831},[47],{"categories":4833},[47],{"categories":4835},[130],{"categories":4837},[],{"categories":4839},[127],{"categories":4841},[],{"categories":4843},[127],{"categories":4845},[47],{"categories":4847},[47],{"categories":4849},[93],{"categories":4851},[47],{"categories":4853},[93],{"categories":4855},[93],{"categories":4857},[],{"categories":4859},[127],{"categories":4861},[47],{"categories":4863},[],{"categories":4865},[47],{"categories":4867},[47],{"categories":4869},[],{"categories":4871},[47],{"categories":4873},[173],{"categories":4875},[105],{"categories":4877},[93],{"categories":4879},[47],{"categories":4881},[47],{"categories":4883},[47],{"categories":4885},[202],{"categories":4887},[47],{"categories":4889},[47],{"categories":4891},[47],{"categories":4893},[83],{"categories":4895},[47],{"categories":4897},[47],{"categories":4899},[],{"categories":4901},[47],{"categories":4903},[47],{"categories":4905},[],{"categories":4907},[83],{"categories":4909},[47],{"categories":4911},[127],{"categories":4913},[105],{"categories":4915},[96],{"categories":4917},[410],{"categories":4919},[47],{"categories":4921},[47],{"categories":4923},[47],{"categories":4925},[105],{"categories":4927},[127],{"categories":4929},[173],{"categories":4931},[47],{"categories":4933},[47],{"categories":4935},[47],{"categories":4937},[47],{"categories":4939},[127],{"categories":4941},[173],{"categories":4943},[47],{"categories":4945},[47],{"categories":4947},[127],{"categories":4949},[173],{"categories":4951},[47],{"categories":4953},[127],{"categories":4955},[47],{"categories":4957},[93],{"categories":4959},[93],{"categories":4961},[93],{"categories":4963},[105],{"categories":4965},[127],{"categories":4967},[93],{"categories":4969},[93],{"categories":4971},[47],{"categories":4973},[105],{"categories":4975},[173],{"categories":4977},[47],{"categories":4979},[47],{"categories":4981},[47],{"categories":4983},[],{"categories":4985},[93],{"categories":4987},[],{"categories":4989},[47],{"categories":4991},[47],{"categories":4993},[],{"categories":4995},[],{"categories":4997},[93],{"categories":4999},[88],{"categories":5001},[93],{"categories":5003},[5004],"Liability & Ethics",{"categories":5006},[47],{"categories":5008},[47],{"categories":5010},[93],{"categories":5012},[83],{"categories":5014},[93],{"categories":5016},[88],{"categories":5018},[202],{"categories":5020},[93],{"categories":5022},[47],{"categories":5024},[47],{"categories":5026},[],{"categories":5028},[501],{"categories":5030},[93],{"categories":5032},[],{"categories":5034},[47],{"categories":5036},[83],{"categories":5038},[93],{"categories":5040},[],{"categories":5042},[93],{"categories":5044},[47],{"categories":5046},[47],{"categories":5048},[105],{"categories":5050},[47],{"categories":5052},[127],{"categories":5054},[47],{"categories":5056},[47],{"categories":5058},[93],{"categories":5060},[47],{"categories":5062},[47],{"categories":5064},[47],{"categories":5066},[127],{"categories":5068},[93],{"categories":5070},[105],{"categories":5072},[173],{"categories":5074},[83],{"categories":5076},[47],{"categories":5078},[47],{"categories":5080},[],{"categories":5082},[93],{"categories":5084},[93],{"categories":5086},[93],{"categories":5088},[410],{"categories":5090},[173],{"categories":5092},[93],{"categories":5094},[239],{"categories":5096},[105],{"categories":5098},[127],{"categories":5100},[47],{"categories":5102},[173],{"categories":5104},[47],{"categories":5106},[83],{"categories":5108},[],{"categories":5110},[93],{"categories":5112},[47],{"categories":5114},[47],{"categories":5116},[47],{"categories":5118},[93],{"categories":5120},[47],{"categories":5122},[173],{"categories":5124},[],{"categories":5126},[93],{"categories":5128},[96],{"categories":5130},[127],{"categories":5132},[93],{"categories":5134},[88],{"categories":5136},[],{"categories":5138},[47],{"categories":5140},[47],{"categories":5142},[96],{"categories":5144},[47],{"categories":5146},[93],{"categories":5148},[127],{"categories":5150},[83],{"categories":5152},[239],{"categories":5154},[47],{"categories":5156},[47],{"categories":5158},[47],{"categories":5160},[127],{"categories":5162},[88],{"categories":5164},[47],{"categories":5166},[173],{"categories":5168},[127],{"categories":5170},[239],{"categories":5172},[47],{"categories":5174},[93],{"categories":5176},[],{"categories":5178},[465],{"categories":5180},[],{"categories":5182},[47],{"categories":5184},[239],{"categories":5186},[47],{"categories":5188},[130],{"categories":5190},[93],{"categories":5192},[93],{"categories":5194},[5195],"Design News & Tools",{"categories":5197},[47],{"categories":5199},[127],{"categories":5201},[47],{"categories":5203},[47],{"categories":5205},[83],{"categories":5207},[47],{"categories":5209},[173],{"categories":5211},[93],{"categories":5213},[93],{"categories":5215},[173],{"categories":5217},[47],{"categories":5219},[410],{"categories":5221},[93],{"categories":5223},[47],{"categories":5225},[47],{"categories":5227},[410],{"categories":5229},[47],{"categories":5231},[202],{"categories":5233},[47],{"categories":5235},[93],{"categories":5237},[],{"categories":5239},[47],{"categories":5241},[47],{"categories":5243},[47],{"categories":5245},[127],{"categories":5247},[83],{"categories":5249},[],{"categories":5251},[47],{"categories":5253},[47],{"categories":5255},[47],{"categories":5257},[105],{"categories":5259},[526],{"categories":5261},[105],{"categories":5263},[173],{"categories":5265},[47],{"categories":5267},[47,93],{"categories":5269},[202,88],{"categories":5271},[105],{"categories":5273},[47],{"categories":5275},[47],{"categories":5277},[47],{"categories":5279},[47],{"categories":5281},[],{"categories":5283},[93],{"categories":5285},[47],{"categories":5287},[],{"categories":5289},[47],{"categories":5291},[105],{"categories":5293},[47],{"categories":5295},[105],{"categories":5297},[],{"categories":5299},[93],{"categories":5301},[47],{"categories":5303},[88],{"categories":5305},[47],{"categories":5307},[127],{"categories":5309},[47],{"categories":5311},[],{"categories":5313},[93],{"categories":5315},[47],{"categories":5317},[],{"categories":5319},[173],{"categories":5321},[47],{"categories":5323},[47],{"categories":5325},[93],{"categories":5327},[47],{"categories":5329},[47],{"categories":5331},[83],{"categories":5333},[93],{"categories":5335},[47],{"categories":5337},[],{"categories":5339},[239],{"categories":5341},[202],{"categories":5343},[88],{"categories":5345},[88],{"categories":5347},[47],{"categories":5349},[83],{"categories":5351},[83],{"categories":5353},[47],{"categories":5355},[93],{"categories":5357},[47],{"categories":5359},[47],{"categories":5361},[47],{"categories":5363},[47],{"categories":5365},[105],{"categories":5367},[47],{"categories":5369},[83],{"categories":5371},[47],{"categories":5373},[93],{"categories":5375},[47],{"categories":5377},[202],{"categories":5379},[47],{"categories":5381},[127],{"categories":5383},[47],{"categories":5385},[47],{"categories":5387},[93],{"categories":5389},[47],{"categories":5391},[93],{"categories":5393},[],{"categories":5395},[105],{"categories":5397},[],{"categories":5399},[105],{"categories":5401},[93],{"categories":5403},[83],{"categories":5405},[],{"categories":5407},[130],{"categories":5409},[239],{"categories":5411},[47],{"categories":5413},[105],{"categories":5415},[47],{"categories":5417},[],{"categories":5419},[127],{"categories":5421},[93],{"categories":5423},[105],{"categories":5425},[173],{"categories":5427},[47],{"categories":5429},[47],{"categories":5431},[93],{"categories":5433},[105],{"categories":5435},[93],{"categories":5437},[127],{"categories":5439},[47],{"categories":5441},[96],{"categories":5443},[83],{"categories":5445},[96],{"categories":5447},[127],{"categories":5449},[47],{"categories":5451},[105],{"categories":5453},[47],{"categories":5455},[173],{"categories":5457},[88],{"categories":5459},[47],{"categories":5461},[47],{"categories":5463},[47],{"categories":5465},[47],{"categories":5467},[47],{"categories":5469},[47],{"categories":5471},[93],{"categories":5473},[47],{"categories":5475},[93],{"categories":5477},[47],{"categories":5479},[47],{"categories":5481},[83],{"categories":5483},[47],{"categories":5485},[93],{"categories":5487},[93],{"categories":5489},[173],{"categories":5491},[93],{"categories":5493},[93],{"categories":5495},[83],{"categories":5497},[93],{"categories":5499},[173],{"categories":5501},[],{"categories":5503},[47],{"categories":5505},[130],{"categories":5507},[410],{"categories":5509},[47],{"categories":5511},[47],{"categories":5513},[47],{"categories":5515},[105],{"categories":5517},[47],{"categories":5519},[],{"categories":5521},[47],{"categories":5523},[93],{"categories":5525},[47],{"categories":5527},[202],{"categories":5529},[47],{"categories":5531},[127],{"categories":5533},[93],{"categories":5535},[47],{"categories":5537},[202],{"categories":5539},[93],{"categories":5541},[88],{"categories":5543},[88],{"categories":5545},[47],{"categories":5547},[47],{"categories":5549},[47],{"categories":5551},[47],{"categories":5553},[47],{"categories":5555},[83],{"categories":5557},[],{"categories":5559},[47],{"categories":5561},[47],{"categories":5563},[93],{"categories":5565},[93],{"categories":5567},[47],{"categories":5569},[47],{"categories":5571},[47],{"categories":5573},[105],{"categories":5575},[],{"categories":5577},[83],{"categories":5579},[47],{"categories":5581},[47],{"categories":5583},[93],{"categories":5585},[93],{"categories":5587},[],{"categories":5589},[105],{"categories":5591},[105],{"categories":5593},[47],{"categories":5595},[202],{"categories":5597},[88],{"categories":5599},[173],{"categories":5601},[],{"categories":5603},[47],{"categories":5605},[93],{"categories":5607},[83],{"categories":5609},[47],{"categories":5611},[47],{"categories":5613},[105],{"categories":5615},[83],{"categories":5617},[47],{"categories":5619},[47],{"categories":5621},[127],{"categories":5623},[130],{"categories":5625},[127],{"categories":5627},[93],{"categories":5629},[47],{"categories":5631},[],{"categories":5633},[127],{"categories":5635},[93],{"categories":5637},[173],{"categories":5639},[130],{"categories":5641},[47],{"categories":5643},[47],{"categories":5645},[],{"categories":5647},[93],{"categories":5649},[93],{"categories":5651},[93],{"categories":5653},[2905],{"categories":5655},[127],{"categories":5657},[47],{"categories":5659},[105],{"categories":5661},[47],{"categories":5663},[47],{"categories":5665},[47],{"categories":5667},[47],{"categories":5669},[88],{"categories":5671},[47],{"categories":5673},[83],{"categories":5675},[1666],{"categories":5677},[239],{"categories":5679},[83],{"categories":5681},[],{"categories":5683},[47],{"categories":5685},[],{"categories":5687},[127],{"categories":5689},[93],{"categories":5691},[173],{"categories":5693},[47],{"categories":5695},[47],{"categories":5697},[127],{"categories":5699},[],{"categories":5701},[93],{"categories":5703},[93],{"categories":5705},[93],{"categories":5707},[],{"categories":5709},[47],{"categories":5711},[],{"categories":5713},[127],{"categories":5715},[83],{"categories":5717},[173],{"categories":5719},[47],{"categories":5721},[93],{"categories":5723},[127],{"categories":5725},[47],{"categories":5727},[127],{"categories":5729},[],{"categories":5731},[127],{"categories":5733},[83],{"categories":5735},[410],{"categories":5737},[93],{"categories":5739},[47],{"categories":5741},[],{"categories":5743},[105],{"categories":5745},[93],{"categories":5747},[96],{"categories":5749},[93],{"categories":5751},[83],{"categories":5753},[],{"categories":5755},[],{"categories":5757},[],{"categories":5759},[173],{"categories":5761},[93],{"categories":5763},[47],{"categories":5765},[47],{"categories":5767},[],{"categories":5769},[],{"categories":5771},[],{"categories":5773},[47],{"categories":5775},[173],{"categories":5777},[47],{"categories":5779},[],{"categories":5781},[93],{"categories":5783},[47],{"categories":5785},[47],{"categories":5787},[83],{"categories":5789},[],{"categories":5791},[],{"categories":5793},[47],{"categories":5795},[173],{"categories":5797},[47],{"categories":5799},[127],{"categories":5801},[],{"categories":5803},[47],{"categories":5805},[202],{"categories":5807},[127],{"categories":5809},[202],{"categories":5811},[130],{"categories":5813},[47],{"categories":5815},[47],{"categories":5817},[],{"categories":5819},[],{"categories":5821},[93],{"categories":5823},[],{"categories":5825},[47],{"categories":5827},[410],{"categories":5829},[47],{"categories":5831},[47],{"categories":5833},[47],{"categories":5835},[47],{"categories":5837},[],{"categories":5839},[93],{"categories":5841},[47],{"categories":5843},[47],{"categories":5845},[],{"categories":5847},[93],{"categories":5849},[47],{"categories":5851},[127],{"categories":5853},[47],{"categories":5855},[202],{"categories":5857},[88],{"categories":5859},[47],{"categories":5861},[47],{"categories":5863},[93],{"categories":5865},[130],{"categories":5867},[93],{"categories":5869},[93],{"categories":5871},[],{"categories":5873},[93],{"categories":5875},[],{"categories":5877},[47],{"categories":5879},[],{"categories":5881},[127],{"categories":5883},[88],{"categories":5885},[],{"categories":5887},[47],{"categories":5889},[47],{"categories":5891},[],{"categories":5893},[173],{"categories":5895},[83],{"categories":5897},[],{"categories":5899},[88],{"categories":5901},[202],{"categories":5903},[47],{"categories":5905},[105],{"categories":5907},[83],{"categories":5909},[130],{"categories":5911},[88],{"categories":5913},[105],{"categories":5915},[93],{"categories":5917},[105],{"categories":5919},[],{"categories":5921},[47],{"categories":5923},[96],{"categories":5925},[47],{"categories":5927},[],{"categories":5929},[93],{"categories":5931},[83],{"categories":5933},[173],{"categories":5935},[47],{"categories":5937},[83],{"categories":5939},[93],{"categories":5941},[239],{"categories":5943},[47],{"categories":5945},[47],{"categories":5947},[47],{"categories":5949},[83],{"categories":5951},[130],{"categories":5953},[93],{"categories":5955},[],{"categories":5957},[47],{"categories":5959},[47],{"categories":5961},[47],{"categories":5963},[105],{"categories":5965},[93],{"categories":5967},[127],{"categories":5969},[105],{"categories":5971},[47],{"categories":5973},[96],{"categories":5975},[],{"categories":5977},[173],{"categories":5979},[105],{"categories":5981},[127],{"categories":5983},[83],{"categories":5985},[93],{"categories":5987},[47],{"categories":5989},[47],{"categories":5991},[93],{"categories":5993},[96],{"categories":5995},[47],{"categories":5997},[93],{"categories":5999},[47],{"categories":6001},[88],{"categories":6003},[93],{"categories":6005},[93,239],{"categories":6007},[47],{"categories":6009},[47],{"categories":6011},[93],{"categories":6013},[105],{"categories":6015},[47],{"categories":6017},[47],{"categories":6019},[130],{"categories":6021},[93],{"categories":6023},[202],{"categories":6025},[93],{"categories":6027},[88],{"categories":6029},[],{"categories":6031},[93],{"categories":6033},[47],{"categories":6035},[88],{"categories":6037},[],{"categories":6039},[],{"categories":6041},[105],{"categories":6043},[47],{"categories":6045},[47],{"categories":6047},[93],{"categories":6049},[130],{"categories":6051},[202],{"categories":6053},[47],{"categories":6055},[47],{"categories":6057},[93],{"categories":6059},[],{"categories":6061},[93],{"categories":6063},[127],{"categories":6065},[93],{"categories":6067},[47],{"categories":6069},[],{"categories":6071},[127],{"categories":6073},[105],{"categories":6075},[2905],{"categories":6077},[83],{"categories":6079},[105],{"categories":6081},[47],{"categories":6083},[93],{"categories":6085},[47],{"categories":6087},[47],{"categories":6089},[202],{"categories":6091},[105],{"categories":6093},[],{"categories":6095},[127],{"categories":6097},[47],{"categories":6099},[],{"categories":6101},[93],{"categories":6103},[47],{"categories":6105},[47],{"categories":6107},[47],{"categories":6109},[47],{"categories":6111},[93],{"categories":6113},[47],{"categories":6115},[47],{"categories":6117},[96],{"categories":6119},[47],{"categories":6121},[93],{"categories":6123},[47],{"categories":6125},[47],{"categories":6127},[47],{"categories":6129},[47],{"categories":6131},[47],{"categories":6133},[47],{"categories":6135},[47],{"categories":6137},[88],{"categories":6139},[],{"categories":6141},[96],{"categories":6143},[127],{"categories":6145},[93],{"categories":6147},[47],{"categories":6149},[105],{"categories":6151},[],{"categories":6153},[105],{"categories":6155},[105],{"categories":6157},[93],{"categories":6159},[105],{"categories":6161},[47],{"categories":6163},[47],{"categories":6165},[47],{"categories":6167},[93],{"categories":6169},[105],{"categories":6171},[47],{"categories":6173},[47],{"categories":6175},[47],{"categories":6177},[93],{"categories":6179},[127],{"categories":6181},[47],{"categories":6183},[47],{"categories":6185},[47],{"categories":6187},[88],{"categories":6189},[47],{"categories":6191},[93],{"categories":6193},[173],{"categories":6195},[],{"categories":6197},[47],{"categories":6199},[130],{"categories":6201},[93],{"categories":6203},[47],{"categories":6205},[47],{"categories":6207},[],{"categories":6209},[47],{"categories":6211},[47],{"categories":6213},[127],{"categories":6215},[47],{"categories":6217},[47],{"categories":6219},[93],{"categories":6221},[202],{"categories":6223},[],{"categories":6225},[],{"categories":6227},[105],{"categories":6229},[47],{"categories":6231},[127],{"categories":6233},[47],{"categories":6235},[105],{"categories":6237},[127],{"categories":6239},[47],{"categories":6241},[202],{"categories":6243},[130],{"categories":6245},[47],{"categories":6247},[47],{"categories":6249},[83],{"categories":6251},[93],{"categories":6253},[47],{"categories":6255},[47],{"categories":6257},[93],{"categories":6259},[93],{"categories":6261},[47],{"categories":6263},[88],{"categories":6265},[],{"categories":6267},[130],{"categories":6269},[47],{"categories":6271},[],{"categories":6273},[127],{"categories":6275},[47],{"categories":6277},[130],{"categories":6279},[47],{"categories":6281},[105],{"categories":6283},[105],{"categories":6285},[105],{"categories":6287},[93],{"categories":6289},[93],{"categories":6291},[47],{"categories":6293},[93],{"categories":6295},[47],{"categories":6297},[47],{"categories":6299},[173],{"categories":6301},[130],{"categories":6303},[130],{"categories":6305},[],{"categories":6307},[127],{"categories":6309},[47],{"categories":6311},[47],{"categories":6313},[105],{"categories":6315},[],{"categories":6317},[127],{"categories":6319},[127],{"categories":6321},[127],{"categories":6323},[],{"categories":6325},[93],{"categories":6327},[47],{"categories":6329},[],{"categories":6331},[83],{"categories":6333},[88],{"categories":6335},[],{"categories":6337},[47],{"categories":6339},[47],{"categories":6341},[],{"categories":6343},[105],{"categories":6345},[],{"categories":6347},[],{"categories":6349},[],{"categories":6351},[],{"categories":6353},[47],{"categories":6355},[127],{"categories":6357},[],{"categories":6359},[],{"categories":6361},[47],{"categories":6363},[47],{"categories":6365},[47],{"categories":6367},[130],{"categories":6369},[47],{"categories":6371},[130],{"categories":6373},[],{"categories":6375},[130],{"categories":6377},[130],{"categories":6379},[239],{"categories":6381},[93],{"categories":6383},[105],{"categories":6385},[],{"categories":6387},[],{"categories":6389},[130],{"categories":6391},[105],{"categories":6393},[105],{"categories":6395},[105],{"categories":6397},[],{"categories":6399},[83],{"categories":6401},[105],{"categories":6403},[105],{"categories":6405},[83],{"categories":6407},[105],{"categories":6409},[88],{"categories":6411},[105],{"categories":6413},[105],{"categories":6415},[105],{"categories":6417},[130],{"categories":6419},[127],{"categories":6421},[127],{"categories":6423},[47],{"categories":6425},[105],{"categories":6427},[130],{"categories":6429},[239],{"categories":6431},[130],{"categories":6433},[130],{"categories":6435},[130],{"categories":6437},[],{"categories":6439},[88],{"categories":6441},[],{"categories":6443},[239],{"categories":6445},[105],{"categories":6447},[105],{"categories":6449},[105],{"categories":6451},[93],{"categories":6453},[127,88],{"categories":6455},[130],{"categories":6457},[],{"categories":6459},[],{"categories":6461},[130],{"categories":6463},[],{"categories":6465},[130],{"categories":6467},[127],{"categories":6469},[93],{"categories":6471},[],{"categories":6473},[105],{"categories":6475},[47],{"categories":6477},[173],{"categories":6479},[],{"categories":6481},[47],{"categories":6483},[],{"categories":6485},[127],{"categories":6487},[83],{"categories":6489},[130],{"categories":6491},[],{"categories":6493},[105],{"categories":6495},[127],[6497,6546,6598,6653],{"id":6498,"title":6499,"ai":6500,"body":6505,"categories":6528,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6529,"navigation":62,"path":6536,"published_at":6537,"question":48,"scraped_at":6537,"seo":6538,"sitemap":6539,"source_id":6540,"source_name":68,"source_type":69,"source_url":6533,"stem":6541,"tags":6542,"thumbnail_url":48,"tldr":6543,"tweet":48,"unknown_tags":6544,"__hash__":6545},"summaries\u002Fsummaries\u002Ff72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary.md","LLMs Hit a Hard Limit on Multi-Constraint Instruction Following",{"provider":7,"model":8,"input_tokens":6501,"output_tokens":6502,"processing_time_ms":6503,"cost_usd":6504},4089,453,2389,0.00170175,{"type":14,"value":6506,"toc":6524},[6507,6511,6514,6518,6521],[17,6508,6510],{"id":6509},"the-phase-transition-phenomenon-in-llm-reasoning","The Phase Transition Phenomenon in LLM Reasoning",[22,6512,6513],{},"Research indicates that Large Language Models (LLMs) do not scale linearly in their ability to follow multiple instructions simultaneously. Instead, they experience 'phase transitions'—a threshold where the model's ability to satisfy a set of constraints remains stable until a critical point is reached, at which performance collapses abruptly. This suggests that LLMs do not possess a fluid, general-purpose reasoning capability for complex, multi-layered tasks, but rather operate within a bounded 'constraint capacity' that is highly sensitive to the number of active requirements.",[17,6515,6517],{"id":6516},"implications-for-prompt-engineering-and-system-design","Implications for Prompt Engineering and System Design",[22,6519,6520],{},"This finding challenges the common practice of 'stacking' instructions in prompts. Because the drop-off in performance is sudden rather than incremental, developers cannot rely on gradual degradation to signal when a prompt has become too complex. Instead, systems that require high-fidelity adherence to multiple constraints (e.g., specific formatting, tone, length, and content restrictions) are prone to silent failures once the model's internal threshold is crossed.",[22,6522,6523],{},"To mitigate these risks, the research suggests that complex tasks should be decomposed into sequential, single-constraint steps rather than attempting to force a model to satisfy all constraints in a single pass. This architectural shift—moving from monolithic prompts to multi-step agentic workflows—is necessary to stay below the 'phase transition' threshold and maintain reliable output quality.",{"title":40,"searchDepth":41,"depth":41,"links":6525},[6526,6527],{"id":6509,"depth":41,"text":6510},{"id":6516,"depth":41,"text":6517},[47],{"content_references":6530,"triage":6534},[6531],{"type":54,"title":6532,"url":6533,"context":56},"Large Language Models Can Follow Instructions, But Not Many at Once: Phase Transitions in Compositional Constraint Satisfaction","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.12426",{"relevance":58,"novelty":59,"quality":59,"actionability":59,"composite":60,"reasoning":6535},"Category: AI & LLMs. The article provides deep insights into the limitations of LLMs in handling multiple constraints, which is crucial for developers working on AI-powered products. It offers actionable guidance on decomposing complex tasks into simpler steps, directly addressing a pain point for the audience.","\u002Fsummaries\u002Ff72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary","2026-08-15 03:11:03",{"title":6499,"description":40},{"loc":6536},"f72ebdfe7d5a4bd6","summaries\u002Ff72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary",[72,74,73],"LLMs exhibit 'phase transitions' in performance, where adding a single additional constraint causes a sudden, catastrophic drop in instruction-following capability rather than a gradual decline.",[],"8wPAYwNg_Ix5oXIsa6m8lUSvF6Lomp5SBhl2BBOAyR0",{"id":6547,"title":6548,"ai":6549,"body":6554,"categories":6577,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6578,"navigation":62,"path":6588,"published_at":6589,"question":48,"scraped_at":6589,"seo":6590,"sitemap":6591,"source_id":6592,"source_name":68,"source_type":69,"source_url":6582,"stem":6593,"tags":6594,"thumbnail_url":48,"tldr":6595,"tweet":48,"unknown_tags":6596,"__hash__":6597},"summaries\u002Fsummaries\u002F82bd7c975432271f-training-data-granularity-and-parametric-modularit-summary.md","Training Data Granularity and Parametric Modularity in LLMs",{"provider":7,"model":8,"input_tokens":6550,"output_tokens":6551,"processing_time_ms":6552,"cost_usd":6553},4005,470,2567,0.00170625,{"type":14,"value":6555,"toc":6573},[6556,6560,6563,6567,6570],[17,6557,6559],{"id":6558},"the-distinction-between-decodability-and-detachability","The Distinction Between Decodability and Detachability",[22,6561,6562],{},"This research addresses a fundamental limitation in current LLM architecture: the difference between a model's ability to recall information (decodability) and its ability to isolate specific knowledge components for modification or removal (detachability). While standard training methods successfully encode vast amounts of data, they often result in highly entangled parameter states. The authors demonstrate that even when a model can accurately retrieve or 'decode' a specific fact, that fact is frequently distributed across non-contiguous parameter clusters, making it impossible to surgically remove or update without degrading overall model performance.",[17,6564,6566],{"id":6565},"data-granularity-as-the-driver-of-modularity","Data Granularity as the Driver of Modularity",[22,6568,6569],{},"The core finding is that parametric modularity is not an emergent property of scale, but a direct consequence of training data granularity. When models are trained on coarse-grained, heterogeneous datasets, knowledge becomes deeply entangled. Conversely, when training data is structured with higher granularity—where specific concepts, domains, or tasks are presented in distinct, self-contained sequences—the model develops more modular internal representations.",[22,6571,6572],{},"This structural alignment between input data and internal parameter organization suggests that developers can influence the 'editability' of a model by curating training pipelines that prioritize conceptual separation. The research implies that future efforts to improve model reliability and safety should focus on data-centric engineering rather than relying solely on post-hoc fine-tuning or model editing techniques, which often fail because the underlying knowledge is not truly detachable.",{"title":40,"searchDepth":41,"depth":41,"links":6574},[6575,6576],{"id":6558,"depth":41,"text":6559},{"id":6565,"depth":41,"text":6566},[47],{"content_references":6579,"triage":6584},[6580],{"type":54,"title":6581,"url":6582,"context":6583},"Decodable But Not Detachable: Training Data Granularity Determines Parametric Modularity in Large Language Models","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10214","cited",{"relevance":6585,"novelty":59,"quality":59,"actionability":6585,"composite":6586,"reasoning":6587},3,3.45,"Category: AI & LLMs. The article discusses the impact of training data granularity on the modularity of LLMs, which is relevant for developers looking to improve AI models. It provides insights into how training data structure affects model performance, but lacks specific actionable steps for implementation.","\u002Fsummaries\u002F82bd7c975432271f-training-data-granularity-and-parametric-modularit-summary","2026-08-13 03:25:45",{"title":6548,"description":40},{"loc":6588},"82bd7c975432271f","summaries\u002F82bd7c975432271f-training-data-granularity-and-parametric-modularit-summary",[72,73,74],"The research establishes that the granularity of training data directly dictates whether knowledge within an LLM is modular and detachable, or merely decodable but entangled.",[],"dZ2d1QYnrVFsc_Rvcroq19W75nDyzaVRgQCeDkdIIHc",{"id":6599,"title":6600,"ai":6601,"body":6606,"categories":6634,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6635,"navigation":62,"path":6643,"published_at":6644,"question":48,"scraped_at":6644,"seo":6645,"sitemap":6646,"source_id":6647,"source_name":68,"source_type":69,"source_url":6639,"stem":6648,"tags":6649,"thumbnail_url":48,"tldr":6650,"tweet":48,"unknown_tags":6651,"__hash__":6652},"summaries\u002Fsummaries\u002F41e7bf292bba6d81-detecting-llm-hallucinations-via-internal-state-pr-summary.md","Detecting LLM Hallucinations via Internal State Probing",{"provider":7,"model":8,"input_tokens":6602,"output_tokens":6603,"processing_time_ms":6604,"cost_usd":6605},4031,468,2939,0.00170975,{"type":14,"value":6607,"toc":6629},[6608,6612,6615,6619,6622,6626],[17,6609,6611],{"id":6610},"the-knowing-saying-gap","The Knowing-Saying Gap",[22,6613,6614],{},"Research into LLM reliability reveals a critical disconnect between a model's internal representation of truth and its final output. While models often output high-confidence responses, their internal hidden states frequently contain information that contradicts the generated text. This phenomenon, termed the 'knowing-saying gap,' suggests that models possess latent knowledge of their own errors that is not reflected in their surface-level confidence scores.",[17,6616,6618],{"id":6617},"probing-as-an-error-detection-mechanism","Probing as an Error Detection Mechanism",[22,6620,6621],{},"Standard confidence metrics—such as log-probabilities or self-reported certainty—are often insufficient for identifying hallucinations or factual inaccuracies. The authors demonstrate that internal state probes (linear classifiers trained on the model's intermediate activations) can outperform these traditional metrics. By analyzing the model's internal processing during the generation phase, these probes can identify when the model is 'uncertain' or 'incorrect' even when the model's output layer suggests high confidence.",[17,6623,6625],{"id":6624},"implications-for-ai-safety-and-reliability","Implications for AI Safety and Reliability",[22,6627,6628],{},"This research highlights that relying on a model's own output confidence is a flawed strategy for safety-critical applications. Instead, developers should look toward 'white-box' monitoring techniques. By implementing probes that monitor internal activations, systems can trigger interventions or human-in-the-loop reviews when the model's internal state indicates a high probability of error, effectively bridging the gap between what the model knows and what it says.",{"title":40,"searchDepth":41,"depth":41,"links":6630},[6631,6632,6633],{"id":6610,"depth":41,"text":6611},{"id":6617,"depth":41,"text":6618},{"id":6624,"depth":41,"text":6625},[47],{"content_references":6636,"triage":6640},[6637],{"type":54,"title":6638,"url":6639,"context":6583},"The Knowing-Saying Gap: When Probes See Errors that Confidence Misses","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.07528",{"relevance":59,"novelty":59,"quality":59,"actionability":6585,"composite":6641,"reasoning":6642},3.8,"Category: AI & LLMs. The article discusses a specific method for detecting errors in LLM outputs, addressing a key pain point for developers concerned about model reliability. It presents new insights into the 'knowing-saying gap' and suggests practical monitoring techniques, although it lacks detailed implementation steps for immediate action.","\u002Fsummaries\u002F41e7bf292bba6d81-detecting-llm-hallucinations-via-internal-state-pr-summary","2026-08-12 03:21:23",{"title":6600,"description":40},{"loc":6643},"41e7bf292bba6d81","summaries\u002F41e7bf292bba6d81-detecting-llm-hallucinations-via-internal-state-pr-summary",[72,73,74],"LLMs often express high confidence in incorrect answers, but internal state probes can detect these errors before the model generates the output, revealing a 'knowing-saying gap'.",[],"q3qHSzMErMijgSEmkfJtUgjtIhX6vKYusPwHy3Xb0X4",{"id":6654,"title":6655,"ai":6656,"body":6661,"categories":6712,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6713,"navigation":62,"path":6720,"published_at":6721,"question":48,"scraped_at":6721,"seo":6722,"sitemap":6723,"source_id":6724,"source_name":68,"source_type":69,"source_url":6717,"stem":6725,"tags":6726,"thumbnail_url":48,"tldr":6727,"tweet":48,"unknown_tags":6728,"__hash__":6729},"summaries\u002Fsummaries\u002Fef0b1a7203bc2157-predicting-item-acceptance-via-llm-generated-criti-summary.md","Predicting Item Acceptance via LLM-Generated Critiques",{"provider":7,"model":8,"input_tokens":6657,"output_tokens":6658,"processing_time_ms":6659,"cost_usd":6660},4039,503,2653,0.00176425,{"type":14,"value":6662,"toc":6707},[6663,6667,6670,6674,6677,6681,6684],[17,6664,6666],{"id":6665},"the-mechanism-of-automated-evaluation","The Mechanism of Automated Evaluation",[22,6668,6669],{},"This research introduces a framework for automating the evaluation of items—such as submissions, proposals, or content—by leveraging Large Language Models (LLMs) to generate detailed critiques. Rather than relying on simple binary classification, the model is prompted to produce a reasoned critique of the item. These critiques are then processed to predict the final acceptance or rejection outcome. The core insight is that the reasoning process captured in the critique acts as a high-fidelity signal for the final decision, effectively mimicking the deliberative process of a human reviewer.",[17,6671,6673],{"id":6672},"performance-and-reliability","Performance and Reliability",[22,6675,6676],{},"The study highlights that LLM-generated critiques provide a more interpretable and accurate basis for decision-making than direct classification prompts. By forcing the model to articulate the strengths and weaknesses of an item before rendering a verdict, the system reduces the likelihood of arbitrary \"black box\" decisions. The researchers found that these critiques correlate strongly with human-expert judgments, suggesting that LLMs can be deployed as reliable assistants in high-stakes review environments to filter submissions or provide preliminary feedback at scale.",[17,6678,6680],{"id":6679},"practical-implications-for-review-pipelines","Practical Implications for Review Pipelines",[22,6682,6683],{},"For builders and product teams, this approach offers a scalable way to implement automated moderation or evaluation pipelines. By utilizing the critique-first approach, developers can:",[6685,6686,6687,6695,6701],"ul",{},[6688,6689,6690,6694],"li",{},[6691,6692,6693],"strong",{},"Increase Transparency:"," The generated critique provides a \"paper trail\" for why an item was accepted or rejected, which is essential for user trust.",[6688,6696,6697,6700],{},[6691,6698,6699],{},"Improve Consistency:"," Automated critiques enforce a standardized set of criteria across all items, reducing the variance often found in human-only review processes.",[6688,6702,6703,6706],{},[6691,6704,6705],{},"Enable Iterative Feedback:"," Because the output is a critique rather than just a score, the system can provide actionable feedback to the submitter, turning a rejection into a learning opportunity.",{"title":40,"searchDepth":41,"depth":41,"links":6708},[6709,6710,6711],{"id":6665,"depth":41,"text":6666},{"id":6672,"depth":41,"text":6673},{"id":6679,"depth":41,"text":6680},[47],{"content_references":6714,"triage":6718},[6715],{"type":54,"title":6716,"url":6717,"context":6583},"Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.06609",{"relevance":58,"novelty":59,"quality":59,"actionability":59,"composite":60,"reasoning":6719},"Category: AI & LLMs. The article presents a novel framework for using LLMs to automate item evaluation, addressing a specific pain point for product teams looking to enhance review processes. It provides actionable insights on implementing critique-based evaluation pipelines, which can directly benefit builders of AI-powered products.","\u002Fsummaries\u002Fef0b1a7203bc2157-predicting-item-acceptance-via-llm-generated-criti-summary","2026-08-11 03:21:36",{"title":6655,"description":40},{"loc":6720},"ef0b1a7203bc2157","summaries\u002Fef0b1a7203bc2157-predicting-item-acceptance-via-llm-generated-criti-summary",[72,73,74],"This research demonstrates that LLMs can effectively predict the acceptance or rejection of items by generating structured critiques that serve as reliable proxies for human evaluation.",[],"j2YtDVsME0Wr8OAGNtnwDw6HumyiqeYj6YvsSTC7d9k"]