AI Engineer(@aiDotEngineer)

Live now: our Memory & Continual Learning Track from AI Engineer World's Fair 2026. Thesis: we scal...

6.0内容质量
Live now: our Memory & Continual Learning Track from AI Engineer World's Fair 2026.

Thesis: we scal...

TL;DR · AI 摘要

文章预告了AI Engineer World's Fair 2026的持续学习专题,但缺乏技术细节和深度分析。

核心要点

  • 会议聚焦持续学习领域,但未提供具体技术实现方案
  • 包含20位演讲者名单,但无技术对比或实践案例
  • 信息密度低,适合了解行业动态而非技术深读

结构提纲

按章节快速跳转。

  1. 介绍AI Engineer World's Fair 2026的Memory & Continual Learning Track

  2. 列举持续学习领域的多个研究方向和演讲者

  3. 涵盖计算扩展、记忆系统、企业应用等子领域

  4. 包含UC Berkeley、Sakana.ai等机构的研究者

思维导图

用一张图看清主题之间的关系。

查看大纲文本(无障碍 / 无 JS 友好)
  • AI Engineer World's Fair 2026
    • Memory & Continual Learning Track
      • 演讲主题
      • 研究方向
      • 参与机构
    • 关键技术
      • 持续学习
      • 记忆系统
      • 企业应用

金句 / Highlights

值得收藏与分享的关键句。

#AI#持续学习#会议#技术趋势
打开原文

AI Engineer on X: "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. https://t.co/26xWW2lM0i - Beyond Static Intelligence, evaluating continual learning: @pgasawa, UC Berkeley - Scaling up https://t.co/5nmgV46d0T" / X

AI Engineer

@aiDotEngineer

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

8:40 PM · Aug 12, 2026

5.1K

Views

5

9

20

15