21. We’ve spent a lot of bandwidth fixing the bugs our users are running into. Please keep the feedback ... We’ve spent a lot of bandwidth fixing the bugs our users are running into. Please keep the feedback coming. We’re not in a rush to add new features. For now, we just want to make Q 11/15 17:38 ♡
22. cool cool Jeff Ma ✈️ ICLR’26 @18jeffreyma We’re launching SWE-fficiency to eval whether LMs can speed up real GitHub repos on real workloads! ⏱️ 498 optimization tasks across 9 data-sci 11/13 10:58 ♡
23. Very interesting !! Very interesting !! John Yang @jyangballin New eval! Code duels for LMs ⚔️ Current evals test LMs on *tasks*: "fix this bug," "write a test" But we code to achieve *goals*: maximiz 11/05 23:59 ♡
24. W What’s the most exciting LLM breakthrough in the past six months? What’s the most exciting LLM breakthrough in the past six months? 💬 317 🔄 43 ❤️ 816 👀 258421 📊 483 ⚡ Powered by xgo.ing 10/26 20:18 ♡
25. I I believe LLMs will inevitably surpass humans in coding. Let us think about how humans actually le... I believe LLMs will inevitably surpass humans in coding. Let us think about how humans actually learn to code. Human learning of coding has two stages. First comes memorization and 08/28 00:00 ♡
