这个专场直播有UC Berkeley、Sakana.ai等讲持续学习，关注Agent记忆的可以看看。
AI Engineer World's Fair 2026 正在直播记忆与持续学习专场，主题是'扩展智能后得到的是世界上最聪明的初学者'。专场包含 11 个演讲，覆盖 UC Berkeley 的持续学习评估、Sakana.ai 的研究智能体记忆框架、LangChain 的 Agent 改进等方向。其他议题包括 Trajectory 的持续学习规模化、Engram 的上下文计算扩展、以及 Applied Compute 的企业落地。
Live now: our Memory & Continual Learning Track from AI Engineer World's Fair 2026. Thesis: we scal...
Live now: our Memory & Continual Learning Track from AI Engineer World's Fair 2026. Thesis: we scaled intelligence and got the world's smartest novice. youtube.com/watch?v=iqloyW… - Beyond Static Intelligence, evaluating continual learning: @pgasawa , UC Berkeley - Scaling up Continual Learning: @rronak_ , Trajectory - Memory Harnesses for Long-Running Research Agents: @Stefania_druga , Sakana.ai - Scaling Compute on Context: @jxmnop , Engram - Intelligence + Continual Learning = Expertise: @ysu_nlp , NeoCognition - Adaption Labs, gradient free continual learning: @sarahookr , Adaption - Improving Agents is a Data Mining Problem: @Vtrivedy10 , LangChain - Bringing Continual Learning into Enterprises: @samueldenton , Applied Compute - Designing Agents, The Floor Is the Frontier: @benhylak , Raindrop - Lessons from Studying Every Memory System: @shloked , Independent - LLM Knowledge Bases, a practical guide: @bholmesdev , Warp 💬 2 🔄 4 ❤️ 6 👀 1233 📊 4 ⚡