AGENTS - AI Dynamics

Sakana AI Beta Tester Recruitment, Seeking Feedback Contributors

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06 February 2026 1h43

【Sakana AI Beta Tester Recruitment 🐟🐠】 We are recruiting testers who can assist in the verification of our AI service currently in development. Although it is still a prototype under development, we aim to improve quality based on feedback from all of you. ▼ Apply here forms.gle/R6KqqSTvUpXGEyHw5 ※ We also plan to give original merchandise as gifts to those who cooperate with us 🐟 [Translated from EN to English]

→ View original post on X — @_yutaroyamada, 2026-02-06 00:43 UTC

6 February 2026

Developer Claims Dirk Gently AI Agent on Moltbook Platform

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@bobgourley

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06 February 2026 1h03

I'm claiming my AI agent "Dirk_Gently_AI" on @moltbook Verification: seabed-B7FU

→ View original post on X — @bobgourley

6 February 2026

AI Agents Control Over Capability Becomes Enterprise Priority

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@predibase

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05 February 2026 23h11

After 180 conversations with executives at the largest enterprises, the verdict is clear: Building AI agents is easy. Sleeping comfortably at night while they run? That’s hard. @rubrikInc GM of AI, Dev Rishi, breaks down his findings in this latest IT Tech Pulse article, explaining why the next phase of AI isn't about capability; it's about control 👉 go.rbrk.co/jf81wi

→ View original post on X — @predibase, 2026-02-05 22:11 UTC

5 February 2026

Data Exploration Agent in Hugging Face Dataset Viewer

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@groqinc

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05 February 2026 21h52

We recently shipped a Data Exploration Agent in the @huggingface Dataset Viewer 💽

• powered by @OpenAI gpt-oss-120b 🤖
• served by @GroqInc for super fast inference ⚡
• multi-turn SQL on datasets in the browser 💻 pic.twitter.com/olIRUyPxd2
— Caleb (@calebfahlgren) 5 février 2026

We recently shipped a Data Exploration Agent in the @huggingface Dataset Viewer 💽 • powered by @OpenAI gpt-oss-120b 🤖 • served by @GroqInc for super fast inference ⚡ • multi-turn SQL on datasets in the browser 💻 [Translated from EN to English]

→ View original post on X — @groqinc, 2026-02-05 20:52 UTC

5 February 2026

GPT-5 Autonomously Designs and Executes Lab Experiments

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@openai

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05 February 2026 20h07

GPT-5 was connected to an autonomous lab: it designed experiments, the lab executed them, and the results informed the next designs across six iterations. In this setup, GPT-5 designed batches of experiments, the lab executed them, and the data fed back into the next round. We

→ View original post on X — @openai

5 February 2026

Claude Opus 4.6 Released for Advanced Reasoning and Agentic Tasks

By

@replicate

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05 February 2026 19h40

Claude Opus 4.6 is live Anthropic's flagship model for deep reasoning and agentic work. It plans carefully, catches its own mistakes, and handles tasks that would take human analysts days. Best-in-class on Terminal-Bench, BigLaw Bench, and Finance Agent.

→ View original post on X — @replicate

5 February 2026

Introducing GPT-5.3-Codex: A New Agentic Coding Model

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@reach_vb

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05 February 2026 19h12

BOOOOM! Introducing GPT-5.3-Codex: our most capable agentic coding model yet > Frontier coding + terminal skills with fewer tokens
> Built for long-running tasks (research → tool use → execution)
> Interactive mid-turn steering + frequent progress updates
> Stronger default

→ View original post on X — @reach_vb

5 February 2026

Opus 4.6 Released: Major Autonomy Breakthrough Changes AI Collaboration

By

@alexalbert__

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05 February 2026 18h46

Opus 4.6 is here. The jump in autonomy is real. The biggest shift for me personally has been learning to let it run. Give it the context, step away, and come back to something pretty amazing. The way we work alongside models is starting to completely change.

→ View original post on X — @alexalbert__

5 February 2026

Building Business-Ready Generative AI Systems Guide

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@kirkdborne

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05 February 2026 18h42

"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and

→ View original post on X — @kirkdborne

5 February 2026

Context Engineering and Memory Models for Multi-Agent Systems

By

@kirkdborne

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05 February 2026 18h41

"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — at http://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Develop memory models to retain short-term and

→ View original post on X — @kirkdborne

5 February 2026