41. W we need agent evals that are really consistent with real world usages. otherwise people are optimizi... we need agent evals that are really consistent with real world usages. otherwise people are optimizing foundation models for the wrong direction. the problem of targeting is even b 04/12 08:36 ♡
42. happy horse is insanely happy happy horse is insanely happy Chetaslua @chetaslua 🚨 Happy Horse First Output This model beats seedance 2 on artificial analysis for more information check quoted tweet You 04/08 12:22 ♡
43. unbelievable... unbelievable... Anthropic @AnthropicAI Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier mo 04/08 08:04 ♡
44. T tokenmaxxing vs. ironmaxxing lol. it should be an era where results matter but it seems not. tokenmaxxing vs. ironmaxxing lol. it should be an era where results matter but it seems not. 💬 9 🔄 2 ❤️ 74 👀 16923 📊 18 ⚡ Powered by xgo.ing 04/07 14:28 ♡
45. Tweet 💬 14 🔄 1 ❤️ 154 👀 17132 📊 30 ⚡ Powered by xgo.ing 04/05 14:59 ♡
46. M mountain climbing is so funny mountain climbing is so funny 💬 13 🔄 1 ❤️ 107 👀 19500 📊 25 ⚡ Powered by xgo.ing 04/03 20:15 ♡
47. model+harness is now over model only. agent perf can be significantly influenced by the design and q... model+harness is now over model only. agent perf can be significantly influenced by the design and quality of harness. i do believe this is a right direction, nice work! Yoonho Lee 03/31 08:59 ♡
48. H https://t.co/mgVhhZVTKg x.com/i/article/2037… 💬 87 🔄 584 ❤️ 3053 👀 916996 📊 1242 ⚡ Powered by xgo.ing 03/26 18:35 ♡
49. nice work! better if oss... nice work! better if oss... William Shen @shenbokui UNI-1 is intelligent, directable, cultured. Incredible range it can do. Incredibly proud of the world-class team building a worl 03/24 00:46 ♡
50. by order of the peaky blinders by order of the peaky blinders 💬 15 🔄 2 ❤️ 132 👀 23630 📊 30 ⚡ Powered by xgo.ing 03/22 18:02 ♡
