All Articles
1 min read
ResearchOctober 16, 2026

EvolvingBrain: An Adaptive Skill System for Multi-modal Agents Self-Evolution in Open Worlds

arXiv:2610.20786v1 Announce Type: new Abstract: Multi-modal agents have made significant progress in interacting with open worlds. However, their ability to self-evolve remains limited. Supervised fine-tuning enables imitation but not active experience organization, while…

Runxuan Liu, Jingqi Shi, Baoxin Wang, Honghong Zhao, Haoyuan Xu, Yueqing Sun, Jiafeng Liang, Tao He, Dayong Wu, Qi Gu, Shijin Wang, Ming Liu, Bing Qin·arXiv — cs.AI
Original Source
Key Takeaways
  • 01.arXiv:2610.20786v1 Announce Type: new Abstract: Multi-modal agents have made significant progress in interacting with open worlds
  • 02.However, their ability to self-evolve remains limited
  • 03.Supervised fine-tuning enables imitation but not active experience organization, while…

This material is provided as an extended analytical summary.

Read full article at source
Aggregated within AI Qazaqstan national intelligence stream with author attribution.

Related Intelligence

All stories →
Research1 мин

How Sullivan & Cromwell builds legal tools with Codex | OpenAI

At Sullivan & Cromwell LLP, John Savva uses Codex to build tools around the firm’s legal expertise. Agreement Analyzer brings together a draft agreement, selected precedents, and playbooks reflecting the firm’s and client’s positions. It identifies potential issues and returns a…

YouTube — OpenAI Official
Research1 мин

Hebbia on Astra: Better research, better presentations | OpenAI

“We see Astra actually show over double digit gains over any other model we've tested on two fronts.” Hebbia’s Kavita Anand names the two: selecting the right sources and generating PowerPoint presentations. For a banker or investor working through a data room with thousands of…

YouTube — OpenAI Official