@Yajush_who: Just finished reading ReAct: Synergizing Reasoning and Acting in Language Models by Shunyu Yao et al and team Google Br…

X AI KOLs Timeline Papers

Summary

A tweet recommending the paper ReAct: Synergizing Reasoning and Acting in Language Models by Shunyu Yao et al., which introduced a simple yet foundational approach for building AI agents that reason and act iteratively.

Just finished reading ReAct: Synergizing Reasoning and Acting in Language Models by Shunyu Yao et al and team Google Brain. It's one of those papers that feels obvious in hindsight: let the model reason, take an action, observe the result, then reason again. Simple idea, but it laid the groundwork for many of today's agentic AI systems. Definitely worth reading if you're trying to understand where modern AI agents came from.
Original Article
View Cached Full Text

Cached at: 07/25/26, 08:02 AM

Just finished reading ReAct: Synergizing Reasoning and Acting in Language Models by Shunyu Yao et al and team Google Brain.

It’s one of those papers that feels obvious in hindsight: let the model reason, take an action, observe the result, then reason again. Simple idea, but it laid the groundwork for many of today’s agentic AI systems.

Definitely worth reading if you’re trying to understand where modern AI agents came from.

Similar Articles

DeReAct: Decomposed Reasoning and Acting for Reliable AI Agents

arXiv cs.AI

DeReAct decomposes ReAct-style agents into a task-solving Brain plus two gating policies (a Critic for action validation and a Context Manager for completion certification), improving Pass@1 on GAIA and SWE-bench Verified especially for weaker models like Qwen3-Coder-480B and Claude Sonnet 4.5.

@dongxi_nlp: I saw discussions about whether to use Python for building Agents. Go check out Shunyu Yao's ReAct source code – just a few notebooks. I remember running those simple lines of code and collapsing into my chair; it was one of the rare experiences in life. No exaggeration, these note…

X AI KOLs Timeline

A tweet discussing whether to use Python for writing AI Agents, citing Shunyu Yao's ReAct source code (just a few Jupyter notebooks), claiming these notebooks kicked off the Agent era, and criticizing the attitude of looking down on specific programming languages.