[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-516c32a92e0c0ab6-how-linkedin-builds-people-you-may-know-via-graph-summary":3,"summaries-facets-categories":108,"summary-related-516c32a92e0c0ab6-how-linkedin-builds-people-you-may-know-via-graph-summary":5682},{"id":4,"title":5,"ai":6,"body":13,"categories":77,"created_at":79,"date_modified":79,"description":70,"extension":80,"faq":79,"featured":81,"kicker_label":79,"meta":82,"navigation":89,"path":90,"published_at":91,"question":79,"scraped_at":92,"seo":93,"sitemap":94,"source_id":95,"source_name":96,"source_type":97,"source_url":98,"stem":99,"tags":100,"thumbnail_url":79,"tldr":105,"tweet":79,"unknown_tags":106,"__hash__":107},"summaries\u002Fsummaries\u002F516c32a92e0c0ab6-how-linkedin-builds-people-you-may-know-via-graph-summary.md","How LinkedIn Builds 'People You May Know' via Graph Intelligence",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",6093,531,3228,0.00231975,{"type":14,"value":15,"toc":69},"minimark",[16,21,25,29,32,55,59,62,66],[17,18,20],"h2",{"id":19},"the-architecture-of-professional-discovery","The Architecture of Professional Discovery",[22,23,24],"p",{},"LinkedIn’s \"People You May Know\" feature is not a simple keyword-matching tool; it is a sophisticated graph intelligence system. The platform models the professional world as a graph where users are nodes and relationships (employment, education, mutual connections) are edges. This structure allows the system to identify non-obvious connections that traditional keyword search would miss, such as two professionals in different roles who share a common industry, skill set, or network cluster.",[17,26,28],{"id":27},"multi-signal-scoring-and-ranking","Multi-Signal Scoring and Ranking",[22,30,31],{},"To determine which users to suggest, the system employs a multi-layered scoring process:",[33,34,35,43,49],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Signal Aggregation:"," The engine ingests both explicit data (profile details, job history, education) and implicit behavioral signals (profile views, search history, content engagement, group memberships).",[36,44,45,48],{},[39,46,47],{},"Dynamic Ranking:"," The system does not simply display the highest-scoring individuals. It balances relevance with diversity to ensure the user sees a mix of suggestions—such as alumni, former colleagues, and industry peers—rather than a repetitive list from a single source.",[36,50,51,54],{},[39,52,53],{},"Inferred Metadata:"," The system infers professional interests and seniority levels from activity patterns, allowing it to refine recommendations even when user profiles are incomplete.",[17,56,58],{"id":57},"the-continuous-feedback-loop","The Continuous Feedback Loop",[22,60,61],{},"Recommendation quality is improved through a compounding feedback loop. Every user interaction—whether a connection request, a dismissal of a suggestion, or a profile click—serves as a data point that adjusts the model's future predictions. This makes the system \"living,\" as it adapts to career changes, new interests, and evolving professional networks in real-time.",[17,63,65],{"id":64},"engineering-takeaways","Engineering Takeaways",[22,67,68],{},"For builders, the primary lesson is that effective recommendation engines rely on the intelligent combination of weak and strong signals rather than a single data point. By modeling systems as graphs, developers can uncover latent relationships that drive user engagement and platform growth. However, this power requires a commitment to responsible personalization, ensuring that inferred data is used to enhance utility without compromising user trust or privacy.",{"title":70,"searchDepth":71,"depth":71,"links":72},"",2,[73,74,75,76],{"id":19,"depth":71,"text":20},{"id":27,"depth":71,"text":28},{"id":57,"depth":71,"text":58},{"id":64,"depth":71,"text":65},[78],"AI & LLMs",null,"md",false,{"content_references":83,"triage":84},[],{"relevance":85,"novelty":86,"quality":86,"actionability":86,"composite":87,"reasoning":88},5,4,4.35,"Category: Product Strategy. The article provides a deep dive into LinkedIn's recommendation engine, which is highly relevant for product builders interested in AI-powered features. It offers actionable insights on using graph intelligence and multi-signal scoring, which can directly inform the development of similar systems.",true,"\u002Fsummaries\u002F516c32a92e0c0ab6-how-linkedin-builds-people-you-may-know-via-graph-summary","2026-05-14 03:40:13","2026-06-30 12:57:11",{"title":5,"description":70},{"loc":90},"516c32a92e0c0ab6","Python in Plain English","article","https:\u002F\u002Fpython.plainenglish.io\u002Fhow-linkedin-builds-people-you-may-know-25409d64f565?source=rss----78073def27b8---4","summaries\u002F516c32a92e0c0ab6-how-linkedin-builds-people-you-may-know-via-graph-summary",[101,102,103,104],"ai-tools","product-strategy","graph-databases","recommendation-systems","LinkedIn’s recommendation engine functions as a dynamic graph-based system that combines profile data, behavioral signals, and continuous feedback loops to predict professional relevance at scale.",[103,104],"ami6L_Om2nylh8wVUpKDPx4ldQTYN5TgT9Dly-AaACQ",[109,112,115,117,120,123,125,127,130,132,134,136,138,141,143,145,147,149,152,154,156,158,160,162,164,166,168,170,172,174,176,178,180,182,184,186,189,192,194,196,198,200,202,204,206,208,210,212,215,217,219,221,223,225,227,229,231,233,235,237,239,241,243,246,248,250,252,254,256,258,260,262,264,266,268,270,273,275,277,279,281,283,285,287,289,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,332,334,336,338,340,342,344,346,348,350,353,355,357,359,361,363,365,367,369,371,373,375,378,380,382,384,386,388,390,392,395,397,399,401,403,405,407,409,411,413,415,417,419,421,423,425,427,429,431,433,435,437,439,441,444,446,448,451,453,455,457,459,461,463,465,467,469,471,473,475,477,480,482,484,486,488,490,492,494,496,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,738,740,742,744,747,749,751,753,755,757,759,761,763,765,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680],{"categories":110},[111],"Developer Productivity",{"categories":113},[114],"Business & SaaS",{"categories":116},[78],{"categories":118},[119],"AI Automation",{"categories":121},[122],"Product Strategy",{"categories":124},[78],{"categories":126},[111],{"categories":128},[129],"Software Engineering",{"categories":131},[78],{"categories":133},[114],{"categories":135},[],{"categories":137},[78],{"categories":139},[140],"Inference & Serving",{"categories":142},[78],{"categories":144},[78],{"categories":146},[119],{"categories":148},[],{"categories":150},[151],"AI News & Trends",{"categories":153},[119],{"categories":155},[78],{"categories":157},[114],{"categories":159},[78],{"categories":161},[119],{"categories":163},[151],{"categories":165},[119],{"categories":167},[119],{"categories":169},[78],{"categories":171},[119],{"categories":173},[78],{"categories":175},[78],{"categories":177},[78],{"categories":179},[151],{"categories":181},[78],{"categories":183},[78],{"categories":185},[],{"categories":187},[188],"Design & Frontend",{"categories":190},[191],"Data Science & Visualization",{"categories":193},[151],{"categories":195},[78],{"categories":197},[78],{"categories":199},[],{"categories":201},[78],{"categories":203},[119],{"categories":205},[129],{"categories":207},[78],{"categories":209},[119],{"categories":211},[78],{"categories":213},[214],"Marketing & Growth",{"categories":216},[188],{"categories":218},[78],{"categories":220},[119],{"categories":222},[78],{"categories":224},[],{"categories":226},[],{"categories":228},[188],{"categories":230},[78],{"categories":232},[119],{"categories":234},[111],{"categories":236},[129],{"categories":238},[188],{"categories":240},[78],{"categories":242},[129],{"categories":244},[245],"DevOps & Cloud",{"categories":247},[119],{"categories":249},[122],{"categories":251},[151],{"categories":253},[78],{"categories":255},[],{"categories":257},[78],{"categories":259},[],{"categories":261},[119],{"categories":263},[129],{"categories":265},[],{"categories":267},[129],{"categories":269},[78],{"categories":271},[272],"Governance & Standards",{"categories":274},[114],{"categories":276},[],{"categories":278},[],{"categories":280},[78],{"categories":282},[78],{"categories":284},[119],{"categories":286},[78],{"categories":288},[78],{"categories":290},[119],{"categories":292},[78],{"categories":294},[78],{"categories":296},[78],{"categories":298},[],{"categories":300},[129],{"categories":302},[],{"categories":304},[],{"categories":306},[129],{"categories":308},[],{"categories":310},[129],{"categories":312},[78],{"categories":314},[78],{"categories":316},[214],{"categories":318},[78],{"categories":320},[188],{"categories":322},[188],{"categories":324},[78],{"categories":326},[129],{"categories":328},[119],{"categories":330},[331],"GovTech & Public-Sector Adoption",{"categories":333},[129],{"categories":335},[78],{"categories":337},[78],{"categories":339},[119],{"categories":341},[119],{"categories":343},[191],{"categories":345},[78],{"categories":347},[151],{"categories":349},[119],{"categories":351},[352],"Legal AI Tools",{"categories":354},[119],{"categories":356},[214],{"categories":358},[119],{"categories":360},[122],{"categories":362},[129],{"categories":364},[331],{"categories":366},[],{"categories":368},[119],{"categories":370},[],{"categories":372},[119],{"categories":374},[119],{"categories":376},[377],"RAG & Retrieval",{"categories":379},[114],{"categories":381},[78],{"categories":383},[129],{"categories":385},[245],{"categories":387},[188],{"categories":389},[78],{"categories":391},[],{"categories":393},[394],"Agents & Orchestration",{"categories":396},[129],{"categories":398},[78],{"categories":400},[],{"categories":402},[119],{"categories":404},[114],{"categories":406},[],{"categories":408},[78],{"categories":410},[],{"categories":412},[111],{"categories":414},[129],{"categories":416},[114],{"categories":418},[78],{"categories":420},[78],{"categories":422},[151],{"categories":424},[78],{"categories":426},[],{"categories":428},[78],{"categories":430},[],{"categories":432},[129],{"categories":434},[191],{"categories":436},[],{"categories":438},[78],{"categories":440},[188],{"categories":442},[443],"Models & Frontier Labs",{"categories":445},[],{"categories":447},[188],{"categories":449},[450],"Regulation & Governance of AI",{"categories":452},[119],{"categories":454},[],{"categories":456},[78],{"categories":458},[78],{"categories":460},[119],{"categories":462},[151],{"categories":464},[114],{"categories":466},[78],{"categories":468},[],{"categories":470},[129],{"categories":472},[119],{"categories":474},[78],{"categories":476},[122],{"categories":478},[479],"AI Policy & Regulation",{"categories":481},[],{"categories":483},[78],{"categories":485},[122],{"categories":487},[119],{"categories":489},[78],{"categories":491},[119],{"categories":493},[],{"categories":495},[191],{"categories":497},[498],"Evals & Reliability",{"categories":500},[78],{"categories":502},[],{"categories":504},[111],{"categories":506},[331],{"categories":508},[479],{"categories":510},[78],{"categories":512},[114],{"categories":514},[78],{"categories":516},[119],{"categories":518},[78],{"categories":520},[119],{"categories":522},[394],{"categories":524},[78],{"categories":526},[129],{"categories":528},[78],{"categories":530},[],{"categories":532},[],{"categories":534},[78],{"categories":536},[331],{"categories":538},[78],{"categories":540},[78],{"categories":542},[],{"categories":544},[188],{"categories":546},[],{"categories":548},[78],{"categories":550},[],{"categories":552},[119],{"categories":554},[78],{"categories":556},[188],{"categories":558},[],{"categories":560},[78],{"categories":562},[119],{"categories":564},[78],{"categories":566},[114],{"categories":568},[119],{"categories":570},[78],{"categories":572},[78],{"categories":574},[129],{"categories":576},[188],{"categories":578},[119],{"categories":580},[],{"categories":582},[129],{"categories":584},[119],{"categories":586},[],{"categories":588},[151],{"categories":590},[],{"categories":592},[78],{"categories":594},[78],{"categories":596},[114,214],{"categories":598},[],{"categories":600},[78],{"categories":602},[78],{"categories":604},[119],{"categories":606},[],{"categories":608},[],{"categories":610},[78],{"categories":612},[188],{"categories":614},[78],{"categories":616},[],{"categories":618},[78],{"categories":620},[245],{"categories":622},[],{"categories":624},[119],{"categories":626},[151],{"categories":628},[78],{"categories":630},[188],{"categories":632},[],{"categories":634},[151],{"categories":636},[78],{"categories":638},[140],{"categories":640},[78],{"categories":642},[119],{"categories":644},[151],{"categories":646},[443],{"categories":648},[78],{"categories":650},[214],{"categories":652},[],{"categories":654},[119],{"categories":656},[114],{"categories":658},[129],{"categories":660},[78],{"categories":662},[119],{"categories":664},[],{"categories":666},[78,245],{"categories":668},[78],{"categories":670},[78],{"categories":672},[78],{"categories":674},[119],{"categories":676},[78,129],{"categories":678},[191],{"categories":680},[78],{"categories":682},[78],{"categories":684},[129],{"categories":686},[119],{"categories":688},[479],{"categories":690},[214],{"categories":692},[78],{"categories":694},[119],{"categories":696},[78],{"categories":698},[78],{"categories":700},[119],{"categories":702},[],{"categories":704},[78],{"categories":706},[119],{"categories":708},[78],{"categories":710},[78,114],{"categories":712},[114],{"categories":714},[],{"categories":716},[188],{"categories":718},[188],{"categories":720},[78],{"categories":722},[],{"categories":724},[],{"categories":726},[151],{"categories":728},[],{"categories":730},[111],{"categories":732},[78],{"categories":734},[129],{"categories":736},[737],"Generative UI & Design-to-Code",{"categories":739},[78],{"categories":741},[188],{"categories":743},[78],{"categories":745},[746],"Algorithmic Accountability",{"categories":748},[119],{"categories":750},[129],{"categories":752},[151],{"categories":754},[188],{"categories":756},[],{"categories":758},[78],{"categories":760},[78],{"categories":762},[78],{"categories":764},[119],{"categories":766},[767],"MLOps & Infrastructure",{"categories":769},[78],{"categories":771},[78],{"categories":773},[78],{"categories":775},[78],{"categories":777},[151],{"categories":779},[111],{"categories":781},[78],{"categories":783},[119],{"categories":785},[245],{"categories":787},[78],{"categories":789},[188],{"categories":791},[78],{"categories":793},[119],{"categories":795},[],{"categories":797},[],{"categories":799},[140],{"categories":801},[188],{"categories":803},[151],{"categories":805},[191],{"categories":807},[],{"categories":809},[78],{"categories":811},[78],{"categories":813},[114],{"categories":815},[78],{"categories":817},[78],{"categories":819},[78],{"categories":821},[151],{"categories":823},[140],{"categories":825},[78],{"categories":827},[188],{"categories":829},[],{"categories":831},[119],{"categories":833},[129],{"categories":835},[],{"categories":837},[78],{"categories":839},[78],{"categories":841},[119],{"categories":843},[129],{"categories":845},[78],{"categories":847},[191],{"categories":849},[],{"categories":851},[78],{"categories":853},[],{"categories":855},[78],{"categories":857},[],{"categories":859},[122],{"categories":861},[114],{"categories":863},[119],{"categories":865},[119],{"categories":867},[],{"categories":869},[111],{"categories":871},[78],{"categories":873},[114],{"categories":875},[151],{"categories":877},[111],{"categories":879},[],{"categories":881},[78],{"categories":883},[],{"categories":885},[],{"categories":887},[151],{"categories":889},[151],{"categories":891},[],{"categories":893},[394],{"categories":895},[78],{"categories":897},[188],{"categories":899},[129],{"categories":901},[],{"categories":903},[352],{"categories":905},[114],{"categories":907},[],{"categories":909},[],{"categories":911},[111],{"categories":913},[191],{"categories":915},[],{"categories":917},[214],{"categories":919},[119],{"categories":921},[114],{"categories":923},[119],{"categories":925},[114],{"categories":927},[129],{"categories":929},[],{"categories":931},[140],{"categories":933},[122],{"categories":935},[78],{"categories":937},[188],{"categories":939},[129],{"categories":941},[114],{"categories":943},[78],{"categories":945},[119],{"categories":947},[114],{"categories":949},[78],{"categories":951},[78],{"categories":953},[],{"categories":955},[],{"categories":957},[129],{"categories":959},[191],{"categories":961},[122],{"categories":963},[78],{"categories":965},[119],{"categories":967},[78],{"categories":969},[],{"categories":971},[151],{"categories":973},[122],{"categories":975},[78],{"categories":977},[498],{"categories":979},[245],{"categories":981},[],{"categories":983},[119],{"categories":985},[],{"categories":987},[111],{"categories":989},[],{"categories":991},[78],{"categories":993},[78],{"categories":995},[188],{"categories":997},[214],{"categories":999},[129],{"categories":1001},[119],{"categories":1003},[],{"categories":1005},[129],{"categories":1007},[111],{"categories":1009},[],{"categories":1011},[151],{"categories":1013},[78,245],{"categories":1015},[1016],"Design Systems for AI",{"categories":1018},[78],{"categories":1020},[151],{"categories":1022},[78],{"categories":1024},[78],{"categories":1026},[114],{"categories":1028},[78],{"categories":1030},[],{"categories":1032},[78],{"categories":1034},[78],{"categories":1036},[114],{"categories":1038},[78],{"categories":1040},[],{"categories":1042},[119],{"categories":1044},[129],{"categories":1046},[129],{"categories":1048},[188],{"categories":1050},[151],{"categories":1052},[191],{"categories":1054},[78],{"categories":1056},[111],{"categories":1058},[479],{"categories":1060},[78],{"categories":1062},[119],{"categories":1064},[78],{"categories":1066},[129],{"categories":1068},[129],{"categories":1070},[],{"categories":1072},[],{"categories":1074},[119],{"categories":1076},[122],{"categories":1078},[],{"categories":1080},[78],{"categories":1082},[],{"categories":1084},[188],{"categories":1086},[119],{"categories":1088},[129],{"categories":1090},[188],{"categories":1092},[78],{"categories":1094},[188],{"categories":1096},[],{"categories":1098},[],{"categories":1100},[151],{"categories":1102},[119],{"categories":1104},[119],{"categories":1106},[78],{"categories":1108},[78],{"categories":1110},[78],{"categories":1112},[114],{"categories":1114},[78],{"categories":1116},[78],{"categories":1118},[],{"categories":1120},[129],{"categories":1122},[129],{"categories":1124},[78],{"categories":1126},[129],{"categories":1128},[114],{"categories":1130},[],{"categories":1132},[78],{"categories":1134},[78],{"categories":1136},[78],{"categories":1138},[119],{"categories":1140},[111],{"categories":1142},[114],{"categories":1144},[151],{"categories":1146},[119],{"categories":1148},[140],{"categories":1150},[214],{"categories":1152},[78],{"categories":1154},[119],{"categories":1156},[],{"categories":1158},[188],{"categories":1160},[],{"categories":1162},[78],{"categories":1164},[78],{"categories":1166},[],{"categories":1168},[129],{"categories":1170},[114],{"categories":1172},[1173],"Visual & Generative Media",{"categories":1175},[119],{"categories":1177},[],{"categories":1179},[78],{"categories":1181},[78],{"categories":1183},[245],{"categories":1185},[191],{"categories":1187},[479],{"categories":1189},[129],{"categories":1191},[214],{"categories":1193},[78],{"categories":1195},[188],{"categories":1197},[78],{"categories":1199},[129],{"categories":1201},[119],{"categories":1203},[],{"categories":1205},[],{"categories":1207},[119],{"categories":1209},[111],{"categories":1211},[119],{"categories":1213},[443],{"categories":1215},[78],{"categories":1217},[122],{"categories":1219},[114],{"categories":1221},[],{"categories":1223},[78],{"categories":1225},[122],{"categories":1227},[78],{"categories":1229},[78],{"categories":1231},[78],{"categories":1233},[78],{"categories":1235},[78],{"categories":1237},[214],{"categories":1239},[78],{"categories":1241},[394],{"categories":1243},[78],{"categories":1245},[78],{"categories":1247},[78],{"categories":1249},[78],{"categories":1251},[78],{"categories":1253},[188],{"categories":1255},[119],{"categories":1257},[],{"categories":1259},[119],{"categories":1261},[],{"categories":1263},[245],{"categories":1265},[129],{"categories":1267},[],{"categories":1269},[443],{"categories":1271},[119],{"categories":1273},[78],{"categories":1275},[188,78],{"categories":1277},[111],{"categories":1279},[],{"categories":1281},[78],{"categories":1283},[111],{"categories":1285},[1286],"Medical Imaging & Radiology",{"categories":1288},[188],{"categories":1290},[119],{"categories":1292},[129],{"categories":1294},[],{"categories":1296},[78],{"categories":1298},[78],{"categories":1300},[78],{"categories":1302},[],{"categories":1304},[],{"categories":1306},[78],{"categories":1308},[394],{"categories":1310},[78],{"categories":1312},[111],{"categories":1314},[78],{"categories":1316},[78],{"categories":1318},[],{"categories":1320},[119],{"categories":1322},[78],{"categories":1324},[122],{"categories":1326},[129],{"categories":1328},[78],{"categories":1330},[394],{"categories":1332},[78],{"categories":1334},[119],{"categories":1336},[78],{"categories":1338},[188],{"categories":1340},[119],{"categories":1342},[245],{"categories":1344},[188],{"categories":1346},[114],{"categories":1348},[119],{"categories":1350},[78],{"categories":1352},[78],{"categories":1354},[78],{"categories":1356},[78],{"categories":1358},[78],{"categories":1360},[119],{"categories":1362},[129],{"categories":1364},[78],{"categories":1366},[122],{"categories":1368},[],{"categories":1370},[151],{"categories":1372},[],{"categories":1374},[122],{"categories":1376},[119],{"categories":1378},[1016],{"categories":1380},[1016],{"categories":1382},[188],{"categories":1384},[78],{"categories":1386},[78],{"categories":1388},[119],{"categories":1390},[129],{"categories":1392},[188],{"categories":1394},[119],{"categories":1396},[151],{"categories":1398},[],{"categories":1400},[78],{"categories":1402},[],{"categories":1404},[78],{"categories":1406},[78],{"categories":1408},[78],{"categories":1410},[1411],"Contract Review & E-Discovery",{"categories":1413},[188],{"categories":1415},[78],{"categories":1417},[111],{"categories":1419},[151],{"categories":1421},[78],{"categories":1423},[78],{"categories":1425},[214],{"categories":1427},[129],{"categories":1429},[78],{"categories":1431},[78],{"categories":1433},[119],{"categories":1435},[119],{"categories":1437},[746],{"categories":1439},[119],{"categories":1441},[119],{"categories":1443},[78],{"categories":1445},[78],{"categories":1447},[119],{"categories":1449},[78],{"categories":1451},[394],{"categories":1453},[377],{"categories":1455},[78],{"categories":1457},[119],{"categories":1459},[78],{"categories":1461},[1462],"Law-Firm Practice & Adoption",{"categories":1464},[78],{"categories":1466},[119],{"categories":1468},[188],{"categories":1470},[78],{"categories":1472},[78],{"categories":1474},[],{"categories":1476},[],{"categories":1478},[129],{"categories":1480},[],{"categories":1482},[111],{"categories":1484},[245],{"categories":1486},[78],{"categories":1488},[],{"categories":1490},[111],{"categories":1492},[114],{"categories":1494},[78],{"categories":1496},[214],{"categories":1498},[],{"categories":1500},[114],{"categories":1502},[114],{"categories":1504},[],{"categories":1506},[78],{"categories":1508},[78],{"categories":1510},[129],{"categories":1512},[],{"categories":1514},[],{"categories":1516},[],{"categories":1518},[],{"categories":1520},[78],{"categories":1522},[119],{"categories":1524},[245],{"categories":1526},[78],{"categories":1528},[111],{"categories":1530},[129],{"categories":1532},[78],{"categories":1534},[78],{"categories":1536},[129],{"categories":1538},[122],{"categories":1540},[78],{"categories":1542},[767],{"categories":1544},[78],{"categories":1546},[214],{"categories":1548},[129],{"categories":1550},[114],{"categories":1552},[78],{"categories":1554},[78],{"categories":1556},[188],{"categories":1558},[78],{"categories":1560},[78],{"categories":1562},[78],{"categories":1564},[119],{"categories":1566},[78,111],{"categories":1568},[394],{"categories":1570},[78],{"categories":1572},[129],{"categories":1574},[129],{"categories":1576},[188],{"categories":1578},[119],{"categories":1580},[129],{"categories":1582},[78],{"categories":1584},[78],{"categories":1586},[],{"categories":1588},[],{"categories":1590},[78],{"categories":1592},[],{"categories":1594},[78],{"categories":1596},[129],{"categories":1598},[191],{"categories":1600},[151],{"categories":1602},[188],{"categories":1604},[78],{"categories":1606},[129],{"categories":1608},[],{"categories":1610},[119],{"categories":1612},[78],{"categories":1614},[78],{"categories":1616},[78],{"categories":1618},[78],{"categories":1620},[],{"categories":1622},[119],{"categories":1624},[78],{"categories":1626},[78],{"categories":1628},[],{"categories":1630},[119],{"categories":1632},[78],{"categories":1634},[78],{"categories":1636},[114],{"categories":1638},[78],{"categories":1640},[],{"categories":1642},[111],{"categories":1644},[78],{"categories":1646},[188],{"categories":1648},[129],{"categories":1650},[78],{"categories":1652},[111],{"categories":1654},[78],{"categories":1656},[129],{"categories":1658},[214],{"categories":1660},[119],{"categories":1662},[119],{"categories":1664},[78,188],{"categories":1666},[78],{"categories":1668},[151],{"categories":1670},[78],{"categories":1672},[151],{"categories":1674},[119],{"categories":1676},[188],{"categories":1678},[],{"categories":1680},[129],{"categories":1682},[245],{"categories":1684},[188],{"categories":1686},[129],{"categories":1688},[78],{"categories":1690},[122],{"categories":1692},[78],{"categories":1694},[119],{"categories":1696},[],{"categories":1698},[],{"categories":1700},[78],{"categories":1702},[],{"categories":1704},[],{"categories":1706},[122],{"categories":1708},[129],{"categories":1710},[78],{"categories":1712},[119],{"categories":1714},[119],{"categories":1716},[114],{"categories":1718},[119],{"categories":1720},[245],{"categories":1722},[78],{"categories":1724},[78],{"categories":1726},[140],{"categories":1728},[78],{"categories":1730},[78],{"categories":1732},[119],{"categories":1734},[78],{"categories":1736},[78],{"categories":1738},[352],{"categories":1740},[746],{"categories":1742},[],{"categories":1744},[188],{"categories":1746},[1462],{"categories":1748},[129],{"categories":1750},[],{"categories":1752},[],{"categories":1754},[119],{"categories":1756},[],{"categories":1758},[],{"categories":1760},[214],{"categories":1762},[214],{"categories":1764},[119],{"categories":1766},[129],{"categories":1768},[],{"categories":1770},[78],{"categories":1772},[78],{"categories":1774},[129],{"categories":1776},[1411],{"categories":1778},[188],{"categories":1780},[188],{"categories":1782},[78],{"categories":1784},[119],{"categories":1786},[111],{"categories":1788},[78],{"categories":1790},[78],{"categories":1792},[188],{"categories":1794},[188],{"categories":1796},[119],{"categories":1798},[119],{"categories":1800},[78],{"categories":1802},[],{"categories":1804},[78],{"categories":1806},[],{"categories":1808},[1809],"Interaction & Product Design",{"categories":1811},[78],{"categories":1813},[119],{"categories":1815},[272],{"categories":1817},[151],{"categories":1819},[129],{"categories":1821},[78],{"categories":1823},[78],{"categories":1825},[129],{"categories":1827},[111],{"categories":1829},[78],{"categories":1831},[],{"categories":1833},[119],{"categories":1835},[119],{"categories":1837},[],{"categories":1839},[129],{"categories":1841},[78],{"categories":1843},[111],{"categories":1845},[1809],{"categories":1847},[78],{"categories":1849},[111],{"categories":1851},[111],{"categories":1853},[],{"categories":1855},[129],{"categories":1857},[],{"categories":1859},[119],{"categories":1861},[151],{"categories":1863},[78],{"categories":1865},[119],{"categories":1867},[78],{"categories":1869},[119],{"categories":1871},[78],{"categories":1873},[151],{"categories":1875},[191],{"categories":1877},[78],{"categories":1879},[122],{"categories":1881},[129],{"categories":1883},[1884],"Coding Agents & Dev Productivity",{"categories":1886},[151],{"categories":1888},[188],{"categories":1890},[],{"categories":1892},[78],{"categories":1894},[746],{"categories":1896},[],{"categories":1898},[78],{"categories":1900},[78],{"categories":1902},[151],{"categories":1904},[],{"categories":1906},[],{"categories":1908},[78],{"categories":1910},[],{"categories":1912},[119],{"categories":1914},[78],{"categories":1916},[],{"categories":1918},[129],{"categories":1920},[129],{"categories":1922},[78],{"categories":1924},[191],{"categories":1926},[],{"categories":1928},[78],{"categories":1930},[78],{"categories":1932},[78],{"categories":1934},[191],{"categories":1936},[129],{"categories":1938},[],{"categories":1940},[],{"categories":1942},[119],{"categories":1944},[119],{"categories":1946},[331],{"categories":1948},[129],{"categories":1950},[129],{"categories":1952},[119],{"categories":1954},[151],{"categories":1956},[151],{"categories":1958},[119],{"categories":1960},[119],{"categories":1962},[78],{"categories":1964},[111],{"categories":1966},[1809],{"categories":1968},[78,245],{"categories":1970},[],{"categories":1972},[188],{"categories":1974},[129],{"categories":1976},[111],{"categories":1978},[78],{"categories":1980},[119],{"categories":1982},[1983],"The Designer's Role & Craft",{"categories":1985},[188],{"categories":1987},[],{"categories":1989},[119],{"categories":1991},[78],{"categories":1993},[119],{"categories":1995},[119],{"categories":1997},[78],{"categories":1999},[214],{"categories":2001},[78],{"categories":2003},[129],{"categories":2005},[188],{"categories":2007},[78],{"categories":2009},[],{"categories":2011},[119],{"categories":2013},[188],{"categories":2015},[78],{"categories":2017},[78],{"categories":2019},[2020],"AI UX Patterns",{"categories":2022},[119],{"categories":2024},[119],{"categories":2026},[119],{"categories":2028},[119],{"categories":2030},[214],{"categories":2032},[191],{"categories":2034},[78],{"categories":2036},[119],{"categories":2038},[78],{"categories":2040},[1016],{"categories":2042},[],{"categories":2044},[214],{"categories":2046},[151],{"categories":2048},[129],{"categories":2050},[78],{"categories":2052},[119],{"categories":2054},[],{"categories":2056},[],{"categories":2058},[78],{"categories":2060},[119],{"categories":2062},[78],{"categories":2064},[119],{"categories":2066},[331],{"categories":2068},[188],{"categories":2070},[151],{"categories":2072},[129],{"categories":2074},[78],{"categories":2076},[119],{"categories":2078},[119],{"categories":2080},[],{"categories":2082},[78],{"categories":2084},[],{"categories":2086},[],{"categories":2088},[78],{"categories":2090},[78],{"categories":2092},[119],{"categories":2094},[129],{"categories":2096},[],{"categories":2098},[],{"categories":2100},[191],{"categories":2102},[140],{"categories":2104},[78],{"categories":2106},[191],{"categories":2108},[151],{"categories":2110},[78],{"categories":2112},[78],{"categories":2114},[119],{"categories":2116},[119],{"categories":2118},[78],{"categories":2120},[119],{"categories":2122},[],{"categories":2124},[],{"categories":2126},[78],{"categories":2128},[245],{"categories":2130},[78],{"categories":2132},[],{"categories":2134},[],{"categories":2136},[188],{"categories":2138},[767],{"categories":2140},[119],{"categories":2142},[111],{"categories":2144},[1983],{"categories":2146},[],{"categories":2148},[],{"categories":2150},[78],{"categories":2152},[],{"categories":2154},[],{"categories":2156},[129],{"categories":2158},[151],{"categories":2160},[214],{"categories":2162},[114],{"categories":2164},[78],{"categories":2166},[78],{"categories":2168},[114],{"categories":2170},[],{"categories":2172},[188],{"categories":2174},[78],{"categories":2176},[119],{"categories":2178},[114],{"categories":2180},[78],{"categories":2182},[78],{"categories":2184},[111],{"categories":2186},[78],{"categories":2188},[],{"categories":2190},[111],{"categories":2192},[78],{"categories":2194},[214],{"categories":2196},[119],{"categories":2198},[151],{"categories":2200},[78],{"categories":2202},[114],{"categories":2204},[78],{"categories":2206},[78],{"categories":2208},[78],{"categories":2210},[119],{"categories":2212},[],{"categories":2214},[78],{"categories":2216},[129],{"categories":2218},[111],{"categories":2220},[78],{"categories":2222},[78],{"categories":2224},[],{"categories":2226},[394],{"categories":2228},[151],{"categories":2230},[78],{"categories":2232},[78],{"categories":2234},[],{"categories":2236},[114],{"categories":2238},[114],{"categories":2240},[78],{"categories":2242},[78],{"categories":2244},[122],{"categories":2246},[78],{"categories":2248},[78],{"categories":2250},[129],{"categories":2252},[129],{"categories":2254},[78],{"categories":2256},[],{"categories":2258},[129],{"categories":2260},[78],{"categories":2262},[129],{"categories":2264},[479],{"categories":2266},[],{"categories":2268},[],{"categories":2270},[78],{"categories":2272},[151],{"categories":2274},[],{"categories":2276},[245],{"categories":2278},[78],{"categories":2280},[78],{"categories":2282},[188],{"categories":2284},[737],{"categories":2286},[],{"categories":2288},[78],{"categories":2290},[78],{"categories":2292},[129],{"categories":2294},[78],{"categories":2296},[78],{"categories":2298},[78,245],{"categories":2300},[78],{"categories":2302},[78],{"categories":2304},[188],{"categories":2306},[119],{"categories":2308},[],{"categories":2310},[119],{"categories":2312},[119],{"categories":2314},[78],{"categories":2316},[78],{"categories":2318},[78],{"categories":2320},[191],{"categories":2322},[78],{"categories":2324},[2020],{"categories":2326},[111],{"categories":2328},[191],{"categories":2330},[111],{"categories":2332},[129],{"categories":2334},[188],{"categories":2336},[119],{"categories":2338},[78],{"categories":2340},[],{"categories":2342},[78],{"categories":2344},[151],{"categories":2346},[78],{"categories":2348},[119],{"categories":2350},[78],{"categories":2352},[78],{"categories":2354},[114],{"categories":2356},[],{"categories":2358},[245],{"categories":2360},[78],{"categories":2362},[331],{"categories":2364},[188],{"categories":2366},[188],{"categories":2368},[129],{"categories":2370},[119],{"categories":2372},[78],{"categories":2374},[114],{"categories":2376},[151],{"categories":2378},[78],{"categories":2380},[188],{"categories":2382},[119],{"categories":2384},[78],{"categories":2386},[78],{"categories":2388},[443],{"categories":2390},[],{"categories":2392},[78],{"categories":2394},[78],{"categories":2396},[78],{"categories":2398},[],{"categories":2400},[],{"categories":2402},[78],{"categories":2404},[78],{"categories":2406},[78],{"categories":2408},[78],{"categories":2410},[129],{"categories":2412},[78],{"categories":2414},[78],{"categories":2416},[119],{"categories":2418},[78],{"categories":2420},[78],{"categories":2422},[78],{"categories":2424},[78],{"categories":2426},[],{"categories":2428},[129],{"categories":2430},[191],{"categories":2432},[78],{"categories":2434},[119],{"categories":2436},[78],{"categories":2438},[],{"categories":2440},[],{"categories":2442},[78],{"categories":2444},[78],{"categories":2446},[78],{"categories":2448},[151],{"categories":2450},[],{"categories":2452},[78],{"categories":2454},[188],{"categories":2456},[78],{"categories":2458},[245],{"categories":2460},[1462],{"categories":2462},[151],{"categories":2464},[129],{"categories":2466},[129],{"categories":2468},[129],{"categories":2470},[151],{"categories":2472},[151],{"categories":2474},[245],{"categories":2476},[],{"categories":2478},[151],{"categories":2480},[78],{"categories":2482},[111],{"categories":2484},[129],{"categories":2486},[78],{"categories":2488},[151],{"categories":2490},[],{"categories":2492},[78],{"categories":2494},[129],{"categories":2496},[191],{"categories":2498},[78],{"categories":2500},[151],{"categories":2502},[78],{"categories":2504},[129],{"categories":2506},[119],{"categories":2508},[151],{"categories":2510},[119],{"categories":2512},[245],{"categories":2514},[119],{"categories":2516},[78],{"categories":2518},[78],{"categories":2520},[129],{"categories":2522},[78],{"categories":2524},[],{"categories":2526},[114],{"categories":2528},[129],{"categories":2530},[],{"categories":2532},[],{"categories":2534},[78],{"categories":2536},[119],{"categories":2538},[78],{"categories":2540},[2541],"Frameworks & Tooling",{"categories":2543},[78],{"categories":2545},[78],{"categories":2547},[129],{"categories":2549},[78],{"categories":2551},[78],{"categories":2553},[],{"categories":2555},[191],{"categories":2557},[191],{"categories":2559},[111],{"categories":2561},[119],{"categories":2563},[188],{"categories":2565},[],{"categories":2567},[1462],{"categories":2569},[78],{"categories":2571},[129],{"categories":2573},[78],{"categories":2575},[245],{"categories":2577},[245],{"categories":2579},[],{"categories":2581},[119],{"categories":2583},[151],{"categories":2585},[151],{"categories":2587},[78],{"categories":2589},[119],{"categories":2591},[],{"categories":2593},[188],{"categories":2595},[78],{"categories":2597},[78],{"categories":2599},[],{"categories":2601},[78],{"categories":2603},[],{"categories":2605},[129],{"categories":2607},[78],{"categories":2609},[129],{"categories":2611},[245],{"categories":2613},[78],{"categories":2615},[129],{"categories":2617},[114],{"categories":2619},[78],{"categories":2621},[1462],{"categories":2623},[],{"categories":2625},[119],{"categories":2627},[111],{"categories":2629},[111],{"categories":2631},[],{"categories":2633},[119],{"categories":2635},[78],{"categories":2637},[2638],"AI Design Tooling",{"categories":2640},[188],{"categories":2642},[78],{"categories":2644},[78],{"categories":2646},[129],{"categories":2648},[188],{"categories":2650},[78],{"categories":2652},[129],{"categories":2654},[151],{"categories":2656},[122],{"categories":2658},[129],{"categories":2660},[119],{"categories":2662},[],{"categories":2664},[78],{"categories":2666},[78],{"categories":2668},[119],{"categories":2670},[78],{"categories":2672},[78],{"categories":2674},[],{"categories":2676},[119],{"categories":2678},[2541],{"categories":2680},[78],{"categories":2682},[119],{"categories":2684},[119],{"categories":2686},[129],{"categories":2688},[129],{"categories":2690},[],{"categories":2692},[129],{"categories":2694},[78],{"categories":2696},[78],{"categories":2698},[119],{"categories":2700},[114],{"categories":2702},[78],{"categories":2704},[],{"categories":2706},[78],{"categories":2708},[1809],{"categories":2710},[],{"categories":2712},[78],{"categories":2714},[78],{"categories":2716},[],{"categories":2718},[78],{"categories":2720},[78],{"categories":2722},[78],{"categories":2724},[214],{"categories":2726},[151],{"categories":2728},[78],{"categories":2730},[78],{"categories":2732},[1462],{"categories":2734},[111],{"categories":2736},[78],{"categories":2738},[78],{"categories":2740},[191],{"categories":2742},[78],{"categories":2744},[151],{"categories":2746},[119],{"categories":2748},[],{"categories":2750},[78],{"categories":2752},[188],{"categories":2754},[78],{"categories":2756},[214],{"categories":2758},[78],{"categories":2760},[119],{"categories":2762},[],{"categories":2764},[],{"categories":2766},[],{"categories":2768},[111],{"categories":2770},[151],{"categories":2772},[119],{"categories":2774},[78],{"categories":2776},[78],{"categories":2778},[78],{"categories":2780},[352],{"categories":2782},[188],{"categories":2784},[119],{"categories":2786},[78],{"categories":2788},[],{"categories":2790},[119],{"categories":2792},[119],{"categories":2794},[],{"categories":2796},[78],{"categories":2798},[119],{"categories":2800},[78],{"categories":2802},[],{"categories":2804},[78],{"categories":2806},[78],{"categories":2808},[151],{"categories":2810},[188],{"categories":2812},[119],{"categories":2814},[188],{"categories":2816},[119],{"categories":2818},[114],{"categories":2820},[],{"categories":2822},[],{"categories":2824},[78],{"categories":2826},[78],{"categories":2828},[111],{"categories":2830},[119],{"categories":2832},[151],{"categories":2834},[],{"categories":2836},[188],{"categories":2838},[],{"categories":2840},[129],{"categories":2842},[129],{"categories":2844},[188],{"categories":2846},[129],{"categories":2848},[78],{"categories":2850},[],{"categories":2852},[78],{"categories":2854},[78],{"categories":2856},[],{"categories":2858},[214],{"categories":2860},[78],{"categories":2862},[245],{"categories":2864},[129],{"categories":2866},[],{"categories":2868},[119],{"categories":2870},[78],{"categories":2872},[111],{"categories":2874},[443],{"categories":2876},[119],{"categories":2878},[119],{"categories":2880},[78],{"categories":2882},[78],{"categories":2884},[],{"categories":2886},[111],{"categories":2888},[78],{"categories":2890},[114],{"categories":2892},[129],{"categories":2894},[188],{"categories":2896},[],{"categories":2898},[],{"categories":2900},[],{"categories":2902},[119],{"categories":2904},[129],{"categories":2906},[188],{"categories":2908},[151],{"categories":2910},[78],{"categories":2912},[151],{"categories":2914},[119],{"categories":2916},[188],{"categories":2918},[78],{"categories":2920},[],{"categories":2922},[78],{"categories":2924},[140],{"categories":2926},[119],{"categories":2928},[188],{"categories":2930},[151],{"categories":2932},[114],{"categories":2934},[129],{"categories":2936},[78],{"categories":2938},[151],{"categories":2940},[214],{"categories":2942},[],{"categories":2944},[],{"categories":2946},[191],{"categories":2948},[394],{"categories":2950},[78],{"categories":2952},[119],{"categories":2954},[78,129],{"categories":2956},[151],{"categories":2958},[78],{"categories":2960},[78],{"categories":2962},[119],{"categories":2964},[78],{"categories":2966},[119],{"categories":2968},[78],{"categories":2970},[78],{"categories":2972},[],{"categories":2974},[1016],{"categories":2976},[129],{"categories":2978},[188],{"categories":2980},[78],{"categories":2982},[78],{"categories":2984},[78],{"categories":2986},[191],{"categories":2988},[119],{"categories":2990},[214],{"categories":2992},[245],{"categories":2994},[],{"categories":2996},[78],{"categories":2998},[114],{"categories":3000},[119],{"categories":3002},[111],{"categories":3004},[119],{"categories":3006},[78],{"categories":3008},[119],{"categories":3010},[122],{"categories":3012},[129],{"categories":3014},[78],{"categories":3016},[78],{"categories":3018},[],{"categories":3020},[],{"categories":3022},[],{"categories":3024},[245],{"categories":3026},[78],{"categories":3028},[151],{"categories":3030},[78],{"categories":3032},[78],{"categories":3034},[78],{"categories":3036},[78],{"categories":3038},[],{"categories":3040},[191],{"categories":3042},[114],{"categories":3044},[119],{"categories":3046},[78],{"categories":3048},[],{"categories":3050},[78],{"categories":3052},[119],{"categories":3054},[78],{"categories":3056},[245],{"categories":3058},[],{"categories":3060},[188],{"categories":3062},[188],{"categories":3064},[],{"categories":3066},[129],{"categories":3068},[78],{"categories":3070},[188],{"categories":3072},[78],{"categories":3074},[114],{"categories":3076},[119],{"categories":3078},[78],{"categories":3080},[],{"categories":3082},[151],{"categories":3084},[78],{"categories":3086},[78],{"categories":3088},[78],{"categories":3090},[188],{"categories":3092},[119],{"categories":3094},[151],{"categories":3096},[],{"categories":3098},[119],{"categories":3100},[119],{"categories":3102},[188],{"categories":3104},[78],{"categories":3106},[78],{"categories":3108},[78],{"categories":3110},[394],{"categories":3112},[78],{"categories":3114},[],{"categories":3116},[78],{"categories":3118},[78],{"categories":3120},[245],{"categories":3122},[151],{"categories":3124},[191],{"categories":3126},[479],{"categories":3128},[191],{"categories":3130},[],{"categories":3132},[],{"categories":3134},[],{"categories":3136},[119],{"categories":3138},[119],{"categories":3140},[129],{"categories":3142},[78],{"categories":3144},[377],{"categories":3146},[129],{"categories":3148},[78],{"categories":3150},[78],{"categories":3152},[78],{"categories":3154},[78],{"categories":3156},[119],{"categories":3158},[],{"categories":3160},[],{"categories":3162},[78],{"categories":3164},[],{"categories":3166},[78],{"categories":3168},[119],{"categories":3170},[188],{"categories":3172},[78],{"categories":3174},[78],{"categories":3176},[],{"categories":3178},[122],{"categories":3180},[78],{"categories":3182},[188],{"categories":3184},[78],{"categories":3186},[119],{"categories":3188},[114],{"categories":3190},[78],{"categories":3192},[214],{"categories":3194},[119],{"categories":3196},[78],{"categories":3198},[737],{"categories":3200},[78],{"categories":3202},[119],{"categories":3204},[78],{"categories":3206},[129],{"categories":3208},[78],{"categories":3210},[443],{"categories":3212},[188],{"categories":3214},[],{"categories":3216},[151],{"categories":3218},[394],{"categories":3220},[119],{"categories":3222},[78],{"categories":3224},[],{"categories":3226},[151],{"categories":3228},[331],{"categories":3230},[119],{"categories":3232},[119],{"categories":3234},[78],{"categories":3236},[78],{"categories":3238},[119],{"categories":3240},[],{"categories":3242},[114],{"categories":3244},[119],{"categories":3246},[],{"categories":3248},[129],{"categories":3250},[78],{"categories":3252},[111],{"categories":3254},[151],{"categories":3256},[245],{"categories":3258},[140],{"categories":3260},[119],{"categories":3262},[119],{"categories":3264},[78],{"categories":3266},[119],{"categories":3268},[111],{"categories":3270},[],{"categories":3272},[78],{"categories":3274},[78],{"categories":3276},[],{"categories":3278},[],{"categories":3280},[188],{"categories":3282},[78,114],{"categories":3284},[119],{"categories":3286},[78],{"categories":3288},[],{"categories":3290},[111],{"categories":3292},[191],{"categories":3294},[114],{"categories":3296},[78],{"categories":3298},[129],{"categories":3300},[78],{"categories":3302},[119],{"categories":3304},[78],{"categories":3306},[78],{"categories":3308},[78],{"categories":3310},[151],{"categories":3312},[1016],{"categories":3314},[119],{"categories":3316},[78],{"categories":3318},[],{"categories":3320},[],{"categories":3322},[119],{"categories":3324},[78],{"categories":3326},[245],{"categories":3328},[],{"categories":3330},[78],{"categories":3332},[119],{"categories":3334},[140],{"categories":3336},[119],{"categories":3338},[394],{"categories":3340},[],{"categories":3342},[352],{"categories":3344},[119],{"categories":3346},[78],{"categories":3348},[214],{"categories":3350},[78],{"categories":3352},[191],{"categories":3354},[119],{"categories":3356},[78],{"categories":3358},[394],{"categories":3360},[78],{"categories":3362},[245],{"categories":3364},[],{"categories":3366},[78],{"categories":3368},[214],{"categories":3370},[188],{"categories":3372},[78],{"categories":3374},[78],{"categories":3376},[],{"categories":3378},[214],{"categories":3380},[151],{"categories":3382},[78],{"categories":3384},[78],{"categories":3386},[479],{"categories":3388},[111],{"categories":3390},[78],{"categories":3392},[],{"categories":3394},[],{"categories":3396},[188],{"categories":3398},[78],{"categories":3400},[191],{"categories":3402},[214],{"categories":3404},[119],{"categories":3406},[214],{"categories":3408},[151],{"categories":3410},[],{"categories":3412},[78],{"categories":3414},[],{"categories":3416},[78],{"categories":3418},[498],{"categories":3420},[78],{"categories":3422},[78],{"categories":3424},[119],{"categories":3426},[394],{"categories":3428},[78],{"categories":3430},[78],{"categories":3432},[78],{"categories":3434},[],{"categories":3436},[78,129],{"categories":3438},[151],{"categories":3440},[119],{"categories":3442},[129],{"categories":3444},[119],{"categories":3446},[767],{"categories":3448},[129],{"categories":3450},[78],{"categories":3452},[111],{"categories":3454},[],{"categories":3456},[],{"categories":3458},[119],{"categories":3460},[78],{"categories":3462},[129],{"categories":3464},[111],{"categories":3466},[129],{"categories":3468},[129],{"categories":3470},[78],{"categories":3472},[214],{"categories":3474},[78],{"categories":3476},[129],{"categories":3478},[],{"categories":3480},[78],{"categories":3482},[188,78],{"categories":3484},[245],{"categories":3486},[111],{"categories":3488},[],{"categories":3490},[78],{"categories":3492},[78],{"categories":3494},[114],{"categories":3496},[114],{"categories":3498},[78],{"categories":3500},[78],{"categories":3502},[331],{"categories":3504},[78],{"categories":3506},[129],{"categories":3508},[191],{"categories":3510},[119],{"categories":3512},[78],{"categories":3514},[78],{"categories":3516},[151],{"categories":3518},[214],{"categories":3520},[188],{"categories":3522},[78],{"categories":3524},[78],{"categories":3526},[78],{"categories":3528},[78],{"categories":3530},[111],{"categories":3532},[78],{"categories":3534},[119],{"categories":3536},[119],{"categories":3538},[129],{"categories":3540},[151],{"categories":3542},[129],{"categories":3544},[],{"categories":3546},[],{"categories":3548},[191],{"categories":3550},[78],{"categories":3552},[129],{"categories":3554},[78],{"categories":3556},[188],{"categories":3558},[394],{"categories":3560},[352],{"categories":3562},[331],{"categories":3564},[78],{"categories":3566},[78],{"categories":3568},[78],{"categories":3570},[191],{"categories":3572},[78],{"categories":3574},[78],{"categories":3576},[78],{"categories":3578},[119],{"categories":3580},[111],{"categories":3582},[119],{"categories":3584},[78,114],{"categories":3586},[],{"categories":3588},[188],{"categories":3590},[],{"categories":3592},[122],{"categories":3594},[78],{"categories":3596},[151],{"categories":3598},[111],{"categories":3600},[111],{"categories":3602},[119],{"categories":3604},[119],{"categories":3606},[119],{"categories":3608},[78],{"categories":3610},[78],{"categories":3612},[114],{"categories":3614},[129],{"categories":3616},[214],{"categories":3618},[78],{"categories":3620},[],{"categories":3622},[151],{"categories":3624},[78],{"categories":3626},[78],{"categories":3628},[78],{"categories":3630},[78],{"categories":3632},[78],{"categories":3634},[129],{"categories":3636},[151],{"categories":3638},[129],{"categories":3640},[129],{"categories":3642},[78],{"categories":3644},[78],{"categories":3646},[352],{"categories":3648},[78],{"categories":3650},[119],{"categories":3652},[151],{"categories":3654},[78],{"categories":3656},[78],{"categories":3658},[78],{"categories":3660},[119],{"categories":3662},[78],{"categories":3664},[78],{"categories":3666},[78],{"categories":3668},[2541],{"categories":3670},[3671],"Clinical AI",{"categories":3673},[188],{"categories":3675},[78],{"categories":3677},[78],{"categories":3679},[78],{"categories":3681},[245],{"categories":3683},[2020],{"categories":3685},[78],{"categories":3687},[122],{"categories":3689},[78],{"categories":3691},[119],{"categories":3693},[78],{"categories":3695},[78],{"categories":3697},[151],{"categories":3699},[78],{"categories":3701},[119],{"categories":3703},[214],{"categories":3705},[78],{"categories":3707},[78],{"categories":3709},[114],{"categories":3711},[78],{"categories":3713},[443],{"categories":3715},[78],{"categories":3717},[],{"categories":3719},[78],{"categories":3721},[129],{"categories":3723},[78],{"categories":3725},[],{"categories":3727},[],{"categories":3729},[78],{"categories":3731},[],{"categories":3733},[114],{"categories":3735},[78],{"categories":3737},[119],{"categories":3739},[151],{"categories":3741},[151],{"categories":3743},[151],{"categories":3745},[151],{"categories":3747},[],{"categories":3749},[111],{"categories":3751},[119],{"categories":3753},[151],{"categories":3755},[78],{"categories":3757},[498],{"categories":3759},[122],{"categories":3761},[78],{"categories":3763},[111],{"categories":3765},[119],{"categories":3767},[78],{"categories":3769},[78],{"categories":3771},[78,119],{"categories":3773},[119],{"categories":3775},[245],{"categories":3777},[151],{"categories":3779},[119],{"categories":3781},[151],{"categories":3783},[119],{"categories":3785},[78],{"categories":3787},[],{"categories":3789},[151],{"categories":3791},[214],{"categories":3793},[111],{"categories":3795},[78],{"categories":3797},[78],{"categories":3799},[],{"categories":3801},[129],{"categories":3803},[],{"categories":3805},[111],{"categories":3807},[119],{"categories":3809},[151],{"categories":3811},[78],{"categories":3813},[151],{"categories":3815},[111],{"categories":3817},[151],{"categories":3819},[151],{"categories":3821},[],{"categories":3823},[114],{"categories":3825},[119],{"categories":3827},[151],{"categories":3829},[151],{"categories":3831},[151],{"categories":3833},[151],{"categories":3835},[151],{"categories":3837},[151],{"categories":3839},[151],{"categories":3841},[151],{"categories":3843},[151],{"categories":3845},[151],{"categories":3847},[191],{"categories":3849},[111],{"categories":3851},[78],{"categories":3853},[78],{"categories":3855},[119],{"categories":3857},[119],{"categories":3859},[],{"categories":3861},[78,111],{"categories":3863},[],{"categories":3865},[119],{"categories":3867},[151],{"categories":3869},[119],{"categories":3871},[767],{"categories":3873},[78],{"categories":3875},[78],{"categories":3877},[78],{"categories":3879},[78],{"categories":3881},[331],{"categories":3883},[78],{"categories":3885},[119],{"categories":3887},[114],{"categories":3889},[119],{"categories":3891},[119],{"categories":3893},[],{"categories":3895},[119],{"categories":3897},[188],{"categories":3899},[151],{"categories":3901},[78],{"categories":3903},[],{"categories":3905},[],{"categories":3907},[119],{"categories":3909},[188],{"categories":3911},[78],{"categories":3913},[],{"categories":3915},[78],{"categories":3917},[],{"categories":3919},[214],{"categories":3921},[78],{"categories":3923},[],{"categories":3925},[],{"categories":3927},[151],{"categories":3929},[111],{"categories":3931},[78],{"categories":3933},[78],{"categories":3935},[114],{"categories":3937},[78],{"categories":3939},[78],{"categories":3941},[78],{"categories":3943},[114],{"categories":3945},[188],{"categories":3947},[],{"categories":3949},[78],{"categories":3951},[151],{"categories":3953},[],{"categories":3955},[78],{"categories":3957},[78],{"categories":3959},[188],{"categories":3961},[78],{"categories":3963},[214],{"categories":3965},[78],{"categories":3967},[245],{"categories":3969},[],{"categories":3971},[119],{"categories":3973},[214],{"categories":3975},[129],{"categories":3977},[],{"categories":3979},[78],{"categories":3981},[],{"categories":3983},[119],{"categories":3985},[188],{"categories":3987},[129],{"categories":3989},[],{"categories":3991},[2541],{"categories":3993},[114],{"categories":3995},[111],{"categories":3997},[191],{"categories":3999},[119],{"categories":4001},[188],{"categories":4003},[129],{"categories":4005},[],{"categories":4007},[],{"categories":4009},[78],{"categories":4011},[111],{"categories":4013},[78],{"categories":4015},[214],{"categories":4017},[],{"categories":4019},[119],{"categories":4021},[119],{"categories":4023},[119],{"categories":4025},[78],{"categories":4027},[151],{"categories":4029},[129],{"categories":4031},[78],{"categories":4033},[119],{"categories":4035},[122],{"categories":4037},[78],{"categories":4039},[119],{"categories":4041},[78],{"categories":4043},[122],{"categories":4045},[214],{"categories":4047},[151],{"categories":4049},[],{"categories":4051},[214],{"categories":4053},[],{"categories":4055},[129],{"categories":4057},[119],{"categories":4059},[],{"categories":4061},[78],{"categories":4063},[78],{"categories":4065},[78],{"categories":4067},[78],{"categories":4069},[119],{"categories":4071},[114],{"categories":4073},[111],{"categories":4075},[78],{"categories":4077},[188],{"categories":4079},[129],{"categories":4081},[129],{"categories":4083},[78],{"categories":4085},[191],{"categories":4087},[119],{"categories":4089},[78],{"categories":4091},[119],{"categories":4093},[78],{"categories":4095},[114],{"categories":4097},[188],{"categories":4099},[129],{"categories":4101},[119],{"categories":4103},[78],{"categories":4105},[122],{"categories":4107},[78],{"categories":4109},[119],{"categories":4111},[78],{"categories":4113},[151],{"categories":4115},[],{"categories":4117},[111],{"categories":4119},[78],{"categories":4121},[78],{"categories":4123},[78],{"categories":4125},[129],{"categories":4127},[78],{"categories":4129},[129],{"categories":4131},[78],{"categories":4133},[119],{"categories":4135},[78],{"categories":4137},[78],{"categories":4139},[78],{"categories":4141},[78],{"categories":4143},[],{"categories":4145},[78],{"categories":4147},[188],{"categories":4149},[114],{"categories":4151},[151],{"categories":4153},[119],{"categories":4155},[78],{"categories":4157},[78],{"categories":4159},[188],{"categories":4161},[119],{"categories":4163},[78],{"categories":4165},[214],{"categories":4167},[78],{"categories":4169},[191],{"categories":4171},[78],{"categories":4173},[78],{"categories":4175},[151],{"categories":4177},[78],{"categories":4179},[78],{"categories":4181},[119],{"categories":4183},[245],{"categories":4185},[78],{"categories":4187},[129],{"categories":4189},[119],{"categories":4191},[191],{"categories":4193},[],{"categories":4195},[119],{"categories":4197},[129],{"categories":4199},[78],{"categories":4201},[1884],{"categories":4203},[188],{"categories":4205},[272],{"categories":4207},[78],{"categories":4209},[111],{"categories":4211},[129],{"categories":4213},[114],{"categories":4215},[129],{"categories":4217},[78],{"categories":4219},[],{"categories":4221},[119],{"categories":4223},[119],{"categories":4225},[78],{"categories":4227},[78],{"categories":4229},[191],{"categories":4231},[],{"categories":4233},[151],{"categories":4235},[],{"categories":4237},[151],{"categories":4239},[78],{"categories":4241},[78],{"categories":4243},[119],{"categories":4245},[119],{"categories":4247},[119],{"categories":4249},[],{"categories":4251},[151],{"categories":4253},[78],{"categories":4255},[],{"categories":4257},[78],{"categories":4259},[78],{"categories":4261},[],{"categories":4263},[188],{"categories":4265},[129],{"categories":4267},[119],{"categories":4269},[78],{"categories":4271},[78],{"categories":4273},[214],{"categories":4275},[78],{"categories":4277},[78],{"categories":4279},[111],{"categories":4281},[],{"categories":4283},[78],{"categories":4285},[78],{"categories":4287},[],{"categories":4289},[111],{"categories":4291},[151],{"categories":4293},[129],{"categories":4295},[394],{"categories":4297},[78],{"categories":4299},[78],{"categories":4301},[78],{"categories":4303},[129],{"categories":4305},[151],{"categories":4307},[188],{"categories":4309},[78],{"categories":4311},[78],{"categories":4313},[78],{"categories":4315},[151],{"categories":4317},[188],{"categories":4319},[78],{"categories":4321},[151],{"categories":4323},[188],{"categories":4325},[78],{"categories":4327},[151],{"categories":4329},[119],{"categories":4331},[119],{"categories":4333},[119],{"categories":4335},[129],{"categories":4337},[151],{"categories":4339},[119],{"categories":4341},[119],{"categories":4343},[78],{"categories":4345},[129],{"categories":4347},[188],{"categories":4349},[78],{"categories":4351},[],{"categories":4353},[119],{"categories":4355},[],{"categories":4357},[],{"categories":4359},[],{"categories":4361},[119],{"categories":4363},[114],{"categories":4365},[119],{"categories":4367},[4368],"Liability & Ethics",{"categories":4370},[78],{"categories":4372},[119],{"categories":4374},[111],{"categories":4376},[119],{"categories":4378},[114],{"categories":4380},[214],{"categories":4382},[119],{"categories":4384},[],{"categories":4386},[479],{"categories":4388},[119],{"categories":4390},[],{"categories":4392},[111],{"categories":4394},[119],{"categories":4396},[],{"categories":4398},[119],{"categories":4400},[78],{"categories":4402},[78],{"categories":4404},[151],{"categories":4406},[78],{"categories":4408},[78],{"categories":4410},[119],{"categories":4412},[78],{"categories":4414},[78],{"categories":4416},[151],{"categories":4418},[119],{"categories":4420},[129],{"categories":4422},[188],{"categories":4424},[111],{"categories":4426},[78],{"categories":4428},[],{"categories":4430},[119],{"categories":4432},[119],{"categories":4434},[394],{"categories":4436},[188],{"categories":4438},[245],{"categories":4440},[151],{"categories":4442},[78],{"categories":4444},[188],{"categories":4446},[78],{"categories":4448},[111],{"categories":4450},[],{"categories":4452},[119],{"categories":4454},[78],{"categories":4456},[78],{"categories":4458},[119],{"categories":4460},[78],{"categories":4462},[188],{"categories":4464},[],{"categories":4466},[119],{"categories":4468},[122],{"categories":4470},[151],{"categories":4472},[119],{"categories":4474},[114],{"categories":4476},[],{"categories":4478},[78],{"categories":4480},[122],{"categories":4482},[78],{"categories":4484},[119],{"categories":4486},[151],{"categories":4488},[111],{"categories":4490},[245],{"categories":4492},[78],{"categories":4494},[78],{"categories":4496},[78],{"categories":4498},[151],{"categories":4500},[114],{"categories":4502},[78],{"categories":4504},[188],{"categories":4506},[151],{"categories":4508},[245],{"categories":4510},[78],{"categories":4512},[119],{"categories":4514},[],{"categories":4516},[443],{"categories":4518},[],{"categories":4520},[78],{"categories":4522},[245],{"categories":4524},[191],{"categories":4526},[119],{"categories":4528},[119],{"categories":4530},[4531],"Design News & Tools",{"categories":4533},[78],{"categories":4535},[151],{"categories":4537},[78],{"categories":4539},[111],{"categories":4541},[78],{"categories":4543},[188],{"categories":4545},[119],{"categories":4547},[119],{"categories":4549},[78],{"categories":4551},[394],{"categories":4553},[78],{"categories":4555},[394],{"categories":4557},[214],{"categories":4559},[78],{"categories":4561},[119],{"categories":4563},[],{"categories":4565},[78],{"categories":4567},[78],{"categories":4569},[78],{"categories":4571},[151],{"categories":4573},[111],{"categories":4575},[],{"categories":4577},[78],{"categories":4579},[78],{"categories":4581},[129],{"categories":4583},[498],{"categories":4585},[129],{"categories":4587},[188],{"categories":4589},[78],{"categories":4591},[78,119],{"categories":4593},[214,114],{"categories":4595},[78],{"categories":4597},[78],{"categories":4599},[78],{"categories":4601},[],{"categories":4603},[119],{"categories":4605},[],{"categories":4607},[129],{"categories":4609},[78],{"categories":4611},[129],{"categories":4613},[],{"categories":4615},[119],{"categories":4617},[78],{"categories":4619},[151],{"categories":4621},[78],{"categories":4623},[],{"categories":4625},[119],{"categories":4627},[78],{"categories":4629},[],{"categories":4631},[188],{"categories":4633},[78],{"categories":4635},[119],{"categories":4637},[78],{"categories":4639},[78],{"categories":4641},[111],{"categories":4643},[119],{"categories":4645},[78],{"categories":4647},[],{"categories":4649},[245],{"categories":4651},[214],{"categories":4653},[114],{"categories":4655},[114],{"categories":4657},[78],{"categories":4659},[111],{"categories":4661},[111],{"categories":4663},[78],{"categories":4665},[119],{"categories":4667},[78],{"categories":4669},[78],{"categories":4671},[78],{"categories":4673},[129],{"categories":4675},[78],{"categories":4677},[111],{"categories":4679},[119],{"categories":4681},[78],{"categories":4683},[214],{"categories":4685},[78],{"categories":4687},[151],{"categories":4689},[78],{"categories":4691},[78],{"categories":4693},[119],{"categories":4695},[78],{"categories":4697},[],{"categories":4699},[129],{"categories":4701},[],{"categories":4703},[129],{"categories":4705},[119],{"categories":4707},[111],{"categories":4709},[],{"categories":4711},[191],{"categories":4713},[245],{"categories":4715},[78],{"categories":4717},[129],{"categories":4719},[78],{"categories":4721},[],{"categories":4723},[151],{"categories":4725},[119],{"categories":4727},[129],{"categories":4729},[188],{"categories":4731},[78],{"categories":4733},[119],{"categories":4735},[129],{"categories":4737},[119],{"categories":4739},[151],{"categories":4741},[78],{"categories":4743},[111],{"categories":4745},[151],{"categories":4747},[129],{"categories":4749},[78],{"categories":4751},[188],{"categories":4753},[114],{"categories":4755},[78],{"categories":4757},[78],{"categories":4759},[78],{"categories":4761},[78],{"categories":4763},[78],{"categories":4765},[119],{"categories":4767},[78],{"categories":4769},[119],{"categories":4771},[78],{"categories":4773},[78],{"categories":4775},[111],{"categories":4777},[78],{"categories":4779},[119],{"categories":4781},[119],{"categories":4783},[188],{"categories":4785},[119],{"categories":4787},[119],{"categories":4789},[111],{"categories":4791},[119],{"categories":4793},[188],{"categories":4795},[],{"categories":4797},[78],{"categories":4799},[191],{"categories":4801},[394],{"categories":4803},[78],{"categories":4805},[78],{"categories":4807},[78],{"categories":4809},[129],{"categories":4811},[],{"categories":4813},[119],{"categories":4815},[214],{"categories":4817},[78],{"categories":4819},[151],{"categories":4821},[119],{"categories":4823},[78],{"categories":4825},[214],{"categories":4827},[119],{"categories":4829},[114],{"categories":4831},[114],{"categories":4833},[78],{"categories":4835},[78],{"categories":4837},[78],{"categories":4839},[111],{"categories":4841},[],{"categories":4843},[78],{"categories":4845},[119],{"categories":4847},[119],{"categories":4849},[78],{"categories":4851},[78],{"categories":4853},[78],{"categories":4855},[129],{"categories":4857},[],{"categories":4859},[111],{"categories":4861},[78],{"categories":4863},[78],{"categories":4865},[119],{"categories":4867},[119],{"categories":4869},[],{"categories":4871},[129],{"categories":4873},[129],{"categories":4875},[78],{"categories":4877},[214],{"categories":4879},[114],{"categories":4881},[188],{"categories":4883},[],{"categories":4885},[78],{"categories":4887},[119],{"categories":4889},[111],{"categories":4891},[78],{"categories":4893},[129],{"categories":4895},[111],{"categories":4897},[151],{"categories":4899},[191],{"categories":4901},[151],{"categories":4903},[119],{"categories":4905},[],{"categories":4907},[151],{"categories":4909},[119],{"categories":4911},[188],{"categories":4913},[191],{"categories":4915},[78],{"categories":4917},[],{"categories":4919},[119],{"categories":4921},[2541],{"categories":4923},[151],{"categories":4925},[129],{"categories":4927},[78],{"categories":4929},[78],{"categories":4931},[114],{"categories":4933},[78],{"categories":4935},[111],{"categories":4937},[1462],{"categories":4939},[245],{"categories":4941},[111],{"categories":4943},[],{"categories":4945},[],{"categories":4947},[151],{"categories":4949},[119],{"categories":4951},[151],{"categories":4953},[],{"categories":4955},[119],{"categories":4957},[119],{"categories":4959},[119],{"categories":4961},[],{"categories":4963},[78],{"categories":4965},[],{"categories":4967},[151],{"categories":4969},[111],{"categories":4971},[188],{"categories":4973},[78],{"categories":4975},[119],{"categories":4977},[151],{"categories":4979},[78],{"categories":4981},[151],{"categories":4983},[],{"categories":4985},[151],{"categories":4987},[111],{"categories":4989},[394],{"categories":4991},[119],{"categories":4993},[78],{"categories":4995},[],{"categories":4997},[129],{"categories":4999},[119],{"categories":5001},[122],{"categories":5003},[119],{"categories":5005},[111],{"categories":5007},[],{"categories":5009},[],{"categories":5011},[],{"categories":5013},[188],{"categories":5015},[119],{"categories":5017},[78],{"categories":5019},[78],{"categories":5021},[],{"categories":5023},[],{"categories":5025},[],{"categories":5027},[188],{"categories":5029},[78],{"categories":5031},[],{"categories":5033},[119],{"categories":5035},[78],{"categories":5037},[111],{"categories":5039},[],{"categories":5041},[],{"categories":5043},[188],{"categories":5045},[78],{"categories":5047},[151],{"categories":5049},[],{"categories":5051},[214],{"categories":5053},[151],{"categories":5055},[214],{"categories":5057},[191],{"categories":5059},[78],{"categories":5061},[78],{"categories":5063},[],{"categories":5065},[],{"categories":5067},[119],{"categories":5069},[],{"categories":5071},[78],{"categories":5073},[394],{"categories":5075},[78],{"categories":5077},[78],{"categories":5079},[78],{"categories":5081},[],{"categories":5083},[119],{"categories":5085},[78],{"categories":5087},[78],{"categories":5089},[],{"categories":5091},[119],{"categories":5093},[78],{"categories":5095},[151],{"categories":5097},[78],{"categories":5099},[214],{"categories":5101},[114],{"categories":5103},[78],{"categories":5105},[78],{"categories":5107},[119],{"categories":5109},[191],{"categories":5111},[119],{"categories":5113},[119],{"categories":5115},[],{"categories":5117},[],{"categories":5119},[78],{"categories":5121},[],{"categories":5123},[151],{"categories":5125},[114],{"categories":5127},[],{"categories":5129},[],{"categories":5131},[188],{"categories":5133},[111],{"categories":5135},[],{"categories":5137},[114],{"categories":5139},[214],{"categories":5141},[78],{"categories":5143},[129],{"categories":5145},[111],{"categories":5147},[191],{"categories":5149},[114],{"categories":5151},[129],{"categories":5153},[129],{"categories":5155},[],{"categories":5157},[78],{"categories":5159},[],{"categories":5161},[119],{"categories":5163},[111],{"categories":5165},[188],{"categories":5167},[78],{"categories":5169},[111],{"categories":5171},[119],{"categories":5173},[245],{"categories":5175},[78],{"categories":5177},[78],{"categories":5179},[78],{"categories":5181},[111],{"categories":5183},[191],{"categories":5185},[119],{"categories":5187},[],{"categories":5189},[78],{"categories":5191},[129],{"categories":5193},[151],{"categories":5195},[129],{"categories":5197},[78],{"categories":5199},[122],{"categories":5201},[],{"categories":5203},[188],{"categories":5205},[151],{"categories":5207},[111],{"categories":5209},[119],{"categories":5211},[78],{"categories":5213},[78],{"categories":5215},[119],{"categories":5217},[78],{"categories":5219},[78],{"categories":5221},[114],{"categories":5223},[119],{"categories":5225},[119,245],{"categories":5227},[119],{"categories":5229},[129],{"categories":5231},[78],{"categories":5233},[78],{"categories":5235},[191],{"categories":5237},[119],{"categories":5239},[214],{"categories":5241},[119],{"categories":5243},[114],{"categories":5245},[],{"categories":5247},[119],{"categories":5249},[78],{"categories":5251},[114],{"categories":5253},[],{"categories":5255},[],{"categories":5257},[129],{"categories":5259},[78],{"categories":5261},[78],{"categories":5263},[119],{"categories":5265},[191],{"categories":5267},[214],{"categories":5269},[78],{"categories":5271},[78],{"categories":5273},[119],{"categories":5275},[],{"categories":5277},[119],{"categories":5279},[151],{"categories":5281},[119],{"categories":5283},[],{"categories":5285},[151],{"categories":5287},[129],{"categories":5289},[2541],{"categories":5291},[111],{"categories":5293},[129],{"categories":5295},[78],{"categories":5297},[119],{"categories":5299},[78],{"categories":5301},[78],{"categories":5303},[214],{"categories":5305},[129],{"categories":5307},[],{"categories":5309},[151],{"categories":5311},[78],{"categories":5313},[],{"categories":5315},[119],{"categories":5317},[78],{"categories":5319},[78],{"categories":5321},[78],{"categories":5323},[119],{"categories":5325},[78],{"categories":5327},[78],{"categories":5329},[122],{"categories":5331},[119],{"categories":5333},[78],{"categories":5335},[78],{"categories":5337},[78],{"categories":5339},[78],{"categories":5341},[78],{"categories":5343},[78],{"categories":5345},[114],{"categories":5347},[],{"categories":5349},[122],{"categories":5351},[151],{"categories":5353},[119],{"categories":5355},[78],{"categories":5357},[129],{"categories":5359},[],{"categories":5361},[129],{"categories":5363},[129],{"categories":5365},[119],{"categories":5367},[129],{"categories":5369},[78],{"categories":5371},[78],{"categories":5373},[129],{"categories":5375},[78],{"categories":5377},[119],{"categories":5379},[151],{"categories":5381},[78],{"categories":5383},[78],{"categories":5385},[78],{"categories":5387},[114],{"categories":5389},[78],{"categories":5391},[119],{"categories":5393},[188],{"categories":5395},[],{"categories":5397},[78],{"categories":5399},[191],{"categories":5401},[119],{"categories":5403},[78],{"categories":5405},[],{"categories":5407},[78],{"categories":5409},[78],{"categories":5411},[151],{"categories":5413},[78],{"categories":5415},[78],{"categories":5417},[119],{"categories":5419},[214],{"categories":5421},[],{"categories":5423},[],{"categories":5425},[129],{"categories":5427},[151],{"categories":5429},[129],{"categories":5431},[151],{"categories":5433},[78],{"categories":5435},[214],{"categories":5437},[78],{"categories":5439},[111],{"categories":5441},[119],{"categories":5443},[78],{"categories":5445},[119],{"categories":5447},[119],{"categories":5449},[78],{"categories":5451},[114],{"categories":5453},[],{"categories":5455},[191],{"categories":5457},[78],{"categories":5459},[],{"categories":5461},[151],{"categories":5463},[78],{"categories":5465},[191],{"categories":5467},[78],{"categories":5469},[129],{"categories":5471},[129],{"categories":5473},[129],{"categories":5475},[119],{"categories":5477},[119],{"categories":5479},[119],{"categories":5481},[78],{"categories":5483},[78],{"categories":5485},[188],{"categories":5487},[191],{"categories":5489},[191],{"categories":5491},[],{"categories":5493},[151],{"categories":5495},[78],{"categories":5497},[78],{"categories":5499},[129],{"categories":5501},[],{"categories":5503},[151],{"categories":5505},[151],{"categories":5507},[151],{"categories":5509},[],{"categories":5511},[119],{"categories":5513},[78],{"categories":5515},[],{"categories":5517},[111],{"categories":5519},[114],{"categories":5521},[],{"categories":5523},[78],{"categories":5525},[78],{"categories":5527},[],{"categories":5529},[129],{"categories":5531},[],{"categories":5533},[],{"categories":5535},[],{"categories":5537},[],{"categories":5539},[78],{"categories":5541},[151],{"categories":5543},[],{"categories":5545},[],{"categories":5547},[78],{"categories":5549},[78],{"categories":5551},[78],{"categories":5553},[191],{"categories":5555},[78],{"categories":5557},[191],{"categories":5559},[],{"categories":5561},[191],{"categories":5563},[191],{"categories":5565},[245],{"categories":5567},[119],{"categories":5569},[129],{"categories":5571},[],{"categories":5573},[],{"categories":5575},[191],{"categories":5577},[129],{"categories":5579},[129],{"categories":5581},[129],{"categories":5583},[],{"categories":5585},[111],{"categories":5587},[129],{"categories":5589},[129],{"categories":5591},[111],{"categories":5593},[129],{"categories":5595},[114],{"categories":5597},[129],{"categories":5599},[129],{"categories":5601},[129],{"categories":5603},[191],{"categories":5605},[151],{"categories":5607},[151],{"categories":5609},[78],{"categories":5611},[129],{"categories":5613},[191],{"categories":5615},[245],{"categories":5617},[191],{"categories":5619},[191],{"categories":5621},[191],{"categories":5623},[],{"categories":5625},[114],{"categories":5627},[],{"categories":5629},[245],{"categories":5631},[129],{"categories":5633},[129],{"categories":5635},[129],{"categories":5637},[119],{"categories":5639},[151,114],{"categories":5641},[191],{"categories":5643},[],{"categories":5645},[],{"categories":5647},[191],{"categories":5649},[],{"categories":5651},[191],{"categories":5653},[151],{"categories":5655},[119],{"categories":5657},[],{"categories":5659},[129],{"categories":5661},[78],{"categories":5663},[188],{"categories":5665},[],{"categories":5667},[78],{"categories":5669},[],{"categories":5671},[151],{"categories":5673},[111],{"categories":5675},[191],{"categories":5677},[],{"categories":5679},[129],{"categories":5681},[151],[5683,5757,5844,5926],{"id":5684,"title":5685,"ai":5686,"body":5691,"categories":5734,"created_at":79,"date_modified":79,"description":70,"extension":80,"faq":79,"featured":81,"kicker_label":79,"meta":5735,"navigation":89,"path":5744,"published_at":5745,"question":79,"scraped_at":5745,"seo":5746,"sitemap":5747,"source_id":5748,"source_name":5749,"source_type":97,"source_url":5750,"stem":5751,"tags":5752,"thumbnail_url":79,"tldr":5754,"tweet":79,"unknown_tags":5755,"__hash__":5756},"summaries\u002Fsummaries\u002Fdd73139d2e3dcd4c-scaling-ai-adoption-through-structured-workforce-t-summary.md","Scaling AI Adoption Through Structured Workforce Training",{"provider":7,"model":8,"input_tokens":5687,"output_tokens":5688,"processing_time_ms":5689,"cost_usd":5690},7099,508,2929,0.00253675,{"type":14,"value":5692,"toc":5730},[5693,5697,5700,5720,5724,5727],[17,5694,5696],{"id":5695},"a-structured-path-to-ai-fluency","A Structured Path to AI Fluency",[22,5698,5699],{},"OpenAI has introduced three new courses as part of the OpenAI Academy, designed to bridge the gap between initial AI experimentation and scalable, repeatable business value. The curriculum is structured to guide teams through a progression of AI maturity:",[33,5701,5702,5708,5714],{},[36,5703,5704,5707],{},[39,5705,5706],{},"AI Foundations:"," Focuses on core operational habits, including effective prompting, providing context, output review, and responsible usage. This course targets routine tasks such as drafting, summarizing, and meeting preparation.",[36,5709,5710,5713],{},[39,5711,5712],{},"Applied AI Foundations:"," Teaches the transition from ad-hoc prompting to structured workflows. Learners are trained to design plans that define inputs, model selection, checkpoints, and human-in-the-loop review processes, balancing quality against speed and cost.",[36,5715,5716,5719],{},[39,5717,5718],{},"Agents and Workflows:"," Focuses on directing agent-assisted work. This includes defining boundaries for agents, managing context, and establishing rigorous oversight mechanisms for reusable, automated processes.",[17,5721,5723],{"id":5722},"integrating-learning-into-deployment","Integrating Learning into Deployment",[22,5725,5726],{},"OpenAI emphasizes that learning should be treated as a core component of deployment. By grounding the curriculum in the actual technology employees use daily, the Academy aims to create a consistent standard for AI literacy. The courses are developed by teams across research, product, and safety, ensuring that the content evolves alongside model capabilities and updated safety practices.",[22,5728,5729],{},"To facilitate organizational adoption, OpenAI offers course completion certificates. These serve as a mechanism for companies to identify internal AI champions, celebrate early adopters, and encourage the cross-pollination of successful workflow patterns across different departments. The initiative is currently supported by partnerships with firms like BCG, Accenture, and BBVA, who are using these materials to build practical skills within their workforces.",{"title":70,"searchDepth":71,"depth":71,"links":5731},[5732,5733],{"id":5695,"depth":71,"text":5696},{"id":5722,"depth":71,"text":5723},[78],{"content_references":5736,"triage":5742},[5737],{"type":5738,"title":5739,"url":5740,"context":5741},"tool","OpenAI Academy","https:\u002F\u002Facademy.openai.com\u002Fpages\u002Fcourses","recommended",{"relevance":85,"novelty":86,"quality":86,"actionability":86,"composite":87,"reasoning":5743},"Category: AI Automation. The article discusses structured training courses aimed at enhancing AI fluency within organizations, directly addressing the need for practical applications of AI in business workflows. It provides a clear framework for integrating AI into daily operations, which is actionable for teams looking to adopt AI effectively.","\u002Fsummaries\u002Fdd73139d2e3dcd4c-scaling-ai-adoption-through-structured-workforce-t-summary","2026-06-13 12:56:23",{"title":5685,"description":70},{"loc":5744},"dd73139d2e3dcd4c","OpenAI News","https:\u002F\u002Fopenai.com\u002Findex\u002Facademy-courses-applying-ai-at-work","summaries\u002Fdd73139d2e3dcd4c-scaling-ai-adoption-through-structured-workforce-t-summary",[101,5753,102],"automation","OpenAI has launched three new Academy courses designed to move organizations from basic AI experimentation to building repeatable, agent-assisted workflows.",[],"Bl4c2UnKEPOMnRB3cAWvqf_3EYj4khYRgPz7j4O_-54",{"id":5758,"title":5759,"ai":5760,"body":5765,"categories":5813,"created_at":79,"date_modified":79,"description":70,"extension":80,"faq":79,"featured":81,"kicker_label":79,"meta":5814,"navigation":89,"path":5831,"published_at":5832,"question":79,"scraped_at":5833,"seo":5834,"sitemap":5835,"source_id":5836,"source_name":5837,"source_type":97,"source_url":5838,"stem":5839,"tags":5840,"thumbnail_url":79,"tldr":5841,"tweet":79,"unknown_tags":5842,"__hash__":5843},"summaries\u002Fsummaries\u002F1b13fe6ad15a6b39-ford-rehires-veteran-engineers-to-correct-ai-quali-summary.md","Ford Rehires Veteran Engineers to Correct AI Quality Failures",{"provider":7,"model":8,"input_tokens":5761,"output_tokens":5762,"processing_time_ms":5763,"cost_usd":5764},5159,495,3270,0.00203225,{"type":14,"value":5766,"toc":5808},[5767,5771,5774,5778,5781,5801,5805],[17,5768,5770],{"id":5769},"the-limits-of-automated-quality-control","The Limits of Automated Quality Control",[22,5772,5773],{},"Ford recently acknowledged that its strategy of relying heavily on AI and automated systems to manage design requirements and quality control was insufficient. Executives admitted that simply ingesting design data into AI models failed to produce the expected high-quality outcomes. This over-reliance on automation created a gap in identifying failure points before parts reached the plant floor, necessitating a strategic pivot.",[17,5775,5777],{"id":5776},"the-gray-beard-strategy","The 'Gray Beard' Strategy",[22,5779,5780],{},"To address these shortcomings, Ford rehired 350 veteran engineers—often referred to as \"gray beards\"—who possess deep, hands-on technical expertise. Rather than abandoning AI, Ford is using these specialists to:",[33,5782,5783,5789,5795],{},[36,5784,5785,5788],{},[39,5786,5787],{},"Audit and improve AI tools:"," Veteran engineers are actively reprogramming and refining the AI systems that previously underperformed.",[36,5790,5791,5794],{},[39,5792,5793],{},"Mentorship:"," These experts are training younger staff to bridge the knowledge gap between automated processes and traditional engineering rigor.",[36,5796,5797,5800],{},[39,5798,5799],{},"Proactive Failure Detection:"," The specialists are tasked with identifying potential failure points in the design phase, a nuance that the automated systems missed.",[17,5802,5804],{"id":5803},"tangible-business-impact","Tangible Business Impact",[22,5806,5807],{},"This shift back to human-in-the-loop engineering has yielded measurable financial and operational success. CEO Jim Farley reported that the initiative has generated \"hundreds and hundreds of millions of dollars\" in savings by lowering warranty and recall costs. Furthermore, the company recently achieved the top spot among mainstream brands in the JD Power Initial Quality Survey, validating that human expertise remains a critical component of complex manufacturing processes.",{"title":70,"searchDepth":71,"depth":71,"links":5809},[5810,5811,5812],{"id":5769,"depth":71,"text":5770},{"id":5776,"depth":71,"text":5777},{"id":5803,"depth":71,"text":5804},[119],{"content_references":5815,"triage":5827},[5816,5822],{"type":5817,"title":5818,"author":5819,"url":5820,"context":5821},"other","Bloomberg report on Ford's quality inspectors","Bloomberg","https:\u002F\u002Fwww.bloomberg.com\u002Fnews\u002Farticles\u002F2026-06-25\u002Fford-has-been-rehiring-quality-inspectors-after-ai-fell-short","cited",{"type":5823,"title":5824,"publisher":5825,"context":5826},"report","JD Power Initial Quality Survey","JD Power","mentioned",{"relevance":86,"novelty":5828,"quality":86,"actionability":5828,"composite":5829,"reasoning":5830},3,3.6,"Category: Business & SaaS. The article discusses Ford's strategic pivot to rehire experienced engineers to improve AI quality control, addressing a specific pain point of balancing automation with human expertise. It provides insights into how companies can integrate human oversight into AI processes, which is actionable for product builders looking to enhance their AI implementations.","\u002Fsummaries\u002F1b13fe6ad15a6b39-ford-rehires-veteran-engineers-to-correct-ai-quali-summary","2026-06-28 19:05:39","2026-06-29 12:57:33",{"title":5759,"description":70},{"loc":5831},"1b13fe6ad15a6b39","TechCrunch — AI","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F06\u002F28\u002Fford-rehires-gray-beard-engineers-after-ai-falls-short\u002F","summaries\u002F1b13fe6ad15a6b39-ford-rehires-veteran-engineers-to-correct-ai-quali-summary",[101,5753,102],"Ford rehired 350 veteran engineers after over-reliance on automated AI quality systems led to disappointing results, successfully reducing warranty costs and improving vehicle quality.",[],"nUBVQisTzic-_SDOR-enSWGbjdJIW9jrwsZKikplSPk",{"id":5845,"title":5846,"ai":5847,"body":5852,"categories":5901,"created_at":79,"date_modified":79,"description":70,"extension":80,"faq":79,"featured":81,"kicker_label":79,"meta":5902,"navigation":89,"path":5914,"published_at":5915,"question":79,"scraped_at":5833,"seo":5916,"sitemap":5917,"source_id":5918,"source_name":5749,"source_type":97,"source_url":5919,"stem":5920,"tags":5921,"thumbnail_url":79,"tldr":5923,"tweet":79,"unknown_tags":5924,"__hash__":5925},"summaries\u002Fsummaries\u002F247324a6d137edef-mapping-ai-s-impact-on-the-european-labor-market-summary.md","Mapping AI’s Impact on the European Labor Market",{"provider":7,"model":8,"input_tokens":5848,"output_tokens":5849,"processing_time_ms":5850,"cost_usd":5851},4908,578,2970,0.002094,{"type":14,"value":5853,"toc":5897},[5854,5858,5861,5887,5891,5894],[17,5855,5857],{"id":5856},"the-ai-jobs-transition-framework","The AI Jobs Transition Framework",[22,5859,5860],{},"OpenAI’s research extends its U.S.-based labor transition framework to the European Union, utilizing the ESCO (European Skills, Competences, Qualifications and Occupations) taxonomy and Eurostat data. Rather than providing employment forecasts, the framework serves as a planning map to identify where adjustment pressure and opportunity will emerge. It categorizes the European workforce into four distinct archetypes:",[33,5862,5863,5869,5875,5881],{},[36,5864,5865,5868],{},[39,5866,5867],{},"Growth (12%):"," Occupations where AI lowers costs or expands project viability, increasing labor demand.",[36,5870,5871,5874],{},[39,5872,5873],{},"Automation Potential (14%):"," Roles with higher exposure to near-term automation.",[36,5876,5877,5880],{},[39,5878,5879],{},"Reorganization (27%):"," Roles where humans remain central, but AI fundamentally alters workflows and skill requirements.",[36,5882,5883,5886],{},[39,5884,5885],{},"Less Immediate Change (47%):"," Occupations with lower exposure to near-term AI-driven disruption.",[17,5888,5890],{"id":5889},"strategic-implications-for-policy-and-planning","Strategic Implications for Policy and Planning",[22,5892,5893],{},"The report emphasizes that AI’s impact is mediated by local institutions, licensing systems, and the specific nature of human-centric services like care and education. Because aggregate labor statistics are lagging indicators, the authors argue that stakeholders must integrate AI capability metrics into existing occupation, training, and vacancy data systems. This allows for proactive intervention rather than reactive policy.",[22,5895,5896],{},"Regional differences are significant: countries like Luxembourg, Sweden, and the Netherlands have higher concentrations of growth-oriented roles, while Germany, Greece, and Italy show higher shares of occupations with near-term automation potential. The framework encourages national and EU-level institutions to develop readiness plans that account for these structural differences in their respective labor markets.",{"title":70,"searchDepth":71,"depth":71,"links":5898},[5899,5900],{"id":5856,"depth":71,"text":5857},{"id":5889,"depth":71,"text":5890},[122],{"content_references":5903,"triage":5911},[5904,5909],{"type":5823,"title":5905,"author":5906,"url":5907,"context":5908},"The AI Jobs Transition Framework for the EU","OpenAI Economic Research","https:\u002F\u002Fcdn.openai.com\u002Fpdf\u002Fthe-ai-jobs-transition-framework-for-the-eu.pdf","reviewed",{"type":5823,"title":5857,"author":5906,"url":5910,"context":5821},"https:\u002F\u002Fcdn.openai.com\u002Fpdf\u002Fthe-ai-jobs-transition-framework_report.pdf",{"relevance":5828,"novelty":5828,"quality":86,"actionability":71,"composite":5912,"reasoning":5913},3.05,"Category: Business & SaaS. The article maps to the Business & SaaS category by discussing the implications of AI on the labor market, which is relevant for product strategy and planning. However, it lacks direct actionable insights for product builders, focusing more on policy implications than on practical steps for integrating AI into products.","\u002Fsummaries\u002F247324a6d137edef-mapping-ai-s-impact-on-the-european-labor-market-summary","2026-06-23 20:00:00",{"title":5846,"description":70},{"loc":5914},"247324a6d137edef","https:\u002F\u002Fopenai.com\u002Findex\u002Fmapping-ai-jobs-transition-eu","summaries\u002F247324a6d137edef-mapping-ai-s-impact-on-the-european-labor-market-summary",[101,5922,102],"research","OpenAI’s new framework categorizes EU jobs into four transition archetypes to help policymakers and firms anticipate AI-driven labor shifts before they appear in aggregate statistics.",[],"r2jF1kuGUmJANih07XUa4e6UZOCkW-1zc0e-aLr3XLA",{"id":5927,"title":5928,"ai":5929,"body":5934,"categories":5988,"created_at":79,"date_modified":79,"description":70,"extension":80,"faq":79,"featured":81,"kicker_label":79,"meta":5989,"navigation":89,"path":5993,"published_at":5994,"question":79,"scraped_at":5995,"seo":5996,"sitemap":5997,"source_id":5998,"source_name":5999,"source_type":97,"source_url":6000,"stem":6001,"tags":6002,"thumbnail_url":79,"tldr":6004,"tweet":79,"unknown_tags":6005,"__hash__":6006},"summaries\u002Fsummaries\u002Ff2fb9dd7cdba5f49-ai-as-a-skill-gap-multiplier-not-a-replacement-summary.md","AI as a Skill Gap Multiplier, Not a Replacement",{"provider":7,"model":8,"input_tokens":5930,"output_tokens":5931,"processing_time_ms":5932,"cost_usd":5933},4681,533,5630,0.00196975,{"type":14,"value":5935,"toc":5983},[5936,5940,5943,5947,5950,5976,5980],[17,5937,5939],{"id":5938},"the-shift-from-mastery-to-competence","The Shift from Mastery to Competence",[22,5941,5942],{},"Historically, professional reach was capped by one's weakest necessary skill; if you couldn't write, design, or sell, you avoided those tasks or hired someone else. AI has introduced a new paradigm where individuals can operate in domains they have not mastered. By using AI systems to handle tasks like lead generation or technical writing, builders can remain functional and keep projects moving without needing to spend months or years acquiring traditional expertise.",[17,5944,5946],{"id":5945},"the-new-economics-of-skill-gaps","The New Economics of Skill Gaps",[22,5948,5949],{},"This shift creates a fundamental change in how we approach professional development and project execution:",[33,5951,5952,5958,5964,5970],{},[36,5953,5954,5957],{},[39,5955,5956],{},"Lowered Barriers to Entry:"," Motivated generalists can now perform work that previously required a specialist, effectively democratizing the ability to execute across multiple disciplines.",[36,5959,5960,5963],{},[39,5961,5962],{},"The Persistence of Expertise:"," AI-assisted output is often 'good enough' to function, but it rarely matches the quality of a true expert. The gap between competent and excellent remains; however, the gap between 'participating' and 'shut out entirely' has effectively vanished.",[36,5965,5966,5969],{},[39,5967,5968],{},"Judgment as the New Scarcity:"," As the cost of producing output approaches zero, the ability to discern quality becomes the primary value. AI can generate dozens of outreach messages, but it cannot determine which prospects are worth pursuing.",[36,5971,5972,5975],{},[39,5973,5974],{},"The Risk of 'Confident Nonsense':"," AI acts as a multiplier. If a user provides clear, high-quality intent, the tool amplifies that intent. If the user is vague or lacks foundational understanding of the problem, the tool will amplify that lack of clarity, producing results that look competent but are fundamentally flawed.",[17,5977,5979],{"id":5978},"strategic-implications-for-builders","Strategic Implications for Builders",[22,5981,5982],{},"Rather than viewing AI as a replacement for human labor, it should be viewed as a tool that removes the ceiling on what a person can attempt. The challenge for modern builders is no longer just about learning every skill required for a project, but rather deciding which skills are worth mastering and which gaps are safe to leave open. Success now depends on maintaining the judgment to oversee AI-generated work and the clarity to define the problems being solved.",{"title":70,"searchDepth":71,"depth":71,"links":5984},[5985,5986,5987],{"id":5938,"depth":71,"text":5939},{"id":5945,"depth":71,"text":5946},{"id":5978,"depth":71,"text":5979},[122],{"content_references":5990,"triage":5991},[],{"relevance":86,"novelty":5828,"quality":86,"actionability":5828,"composite":5829,"reasoning":5992},"Category: Product Strategy. The article discusses how AI can help builders overcome skill gaps, which directly addresses the audience's pain point of needing to ship products without mastering every required skill. It provides insights into the strategic implications of using AI, but lacks specific frameworks or actionable steps for implementation.","\u002Fsummaries\u002Ff2fb9dd7cdba5f49-ai-as-a-skill-gap-multiplier-not-a-replacement-summary","2026-06-22 17:20:07","2026-06-23 12:56:46",{"title":5928,"description":70},{"loc":5993},"f2fb9dd7cdba5f49","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fai-doesnt-replace-people-it-replaces-skill-gaps-c5c4d37deabb?source=rss----5517fd7b58a6---4","summaries\u002Ff2fb9dd7cdba5f49-ai-as-a-skill-gap-multiplier-not-a-replacement-summary",[101,102,6003],"productivity","AI allows individuals to operate competently in domains where they lack mastery, effectively removing the 'weakest link' ceiling that previously limited what builders could attempt.",[6003],"rXnrtTp8yeKSKEAWko78AiGJKTXv81c2nOmvK5NyXpo"]