PSA: models on hugging face are free to use. Always have been, always will be. If you're relying on claw, today is the best time to liberate (parts of) your agent's workflow.
→ View original post on X — @huggingface, 2026-04-04 15:41 UTC

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PSA: models on hugging face are free to use. Always have been, always will be. If you're relying on claw, today is the best time to liberate (parts of) your agent's workflow.
→ View original post on X — @huggingface, 2026-04-04 15:41 UTC
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The best epub to txt converter I found is just asking your favorite agent to do it. Epubs can be very diverse, the agent just goes in, figures it out, creates the output markdown and ensures it looks good works great.
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afaik all tool use is neurosymbolic, but not all neurosymbolic involves tool use. that is, all tools i know of leverage symbolic AI/CS techniques, and in this context they do so in conjunction with neural networks. LLMs can’t natively do math reliably
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You can now run Codex inside Claude Code with one command.
— AlphaSignal AI (@AlphaSignalAI) 4 avril 2026
The plugin is called codex-plugin-cc. It's open-source on GitHub.
One install command and Codex lives inside Claude Code.
You get six slash commands that let Codex handle tasks without leaving your session:
1.… pic.twitter.com/FtzLX9Rce4
You can now run Codex inside Claude Code with one command. The plugin is called codex-plugin-cc. It's open-source on GitHub. One install command and Codex lives inside Claude Code. You get six slash commands that let Codex handle tasks without leaving your session: 1.

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Want to precisely control your LLM's behavior without expensive retraining? New research from Zhejiang University unveils EasySteer, a unified framework for high-performance and extensible LLM steering. It's a unified framework that lets you finely tune LLM responses in real-time by subtly adjusting their internal 'thoughts' or hidden states. This lightweight method offers modular control and pre-computed steering options, sidestepping costly model retraining. EasySteer achieves a game-changing 10.8-22.3x speedup over current methods. It dramatically reduces common LLM issues like overthinking and hallucinations, making advanced steering a robust, production-ready tool for deployable, controllable language models. EasySteer: A Unified Framework for High-Performance and Extensible LLM Steering Paper: arxiv.org/abs/2509.25175 Code: github.com/ZJU-REAL/EasyStee… Our report: mp.weixin.qq.com/s/dxuJHvXOf… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-04 14:53 UTC
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Gemma 4 watches raw video. Understands the scene. Then prompts SAM 3 to segment and RF-DETR to track.
— Maziyar PANAHI (@MaziyarPanahi) 4 avril 2026
One AI directing two others. Fighter jets. Crowds. Aerial defense footage.
All three models running locally on a MacBook. No cloud.
What scene should I point this at next? pic.twitter.com/vNVgVloAGB
Gemma 4 watches raw video. Understands the scene. Then prompts SAM 3 to segment and RF-DETR to track. One AI directing two others. Fighter jets. Crowds. Aerial defense footage. All three models running locally on a MacBook. No cloud. What scene should I point this at next?
→ View original post on X — @huggingface, 2026-04-04 14:44 UTC
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haha RGP UI overlaid on custom GPTs https://t.co/io9qxaurmC pic.twitter.com/Z1y0zrXD2Q
— Yohei (@yoheinakajima) 4 avril 2026
haha RGP UI overlaid on custom GPTs Yohei (@yoheinakajima) agents can do everything*, which causes a UX problem, your users have vastly different experiences, some better and some worse thinking like an RPG can help here when you start an RPG game, you start with one weapon, and you learn to fight with it. as you progress, you pick up and learn new weapons. and by the final boss, you can wield all the weapons to defeat him. very rewarding if you'd started the game with all the weapons, it would be too overwhelming, you wouldn't know which weapon to learn first, and you'd probably stop this isn't a new idea, but i've used a few tools recently that reminded me of this latter experience *not everything of course, but you get the point — https://nitter.net/yoheinakajima/status/2040155808491835753#m
→ View original post on X — @yoheinakajima, 2026-04-04 14:44 UTC
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I think it’s @NaveenGRao who said it before but wouldn’t be surprised if the frontier labs cut their APIs entirely at some point. In a compute constrained world, they’ll always prioritize their own direct products/customers. Makes it scary and unsustainable to only build on top

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Components of a coding agent: a little write-up on the building blocks behind coding agents, from repo context and tool use to memory and delegation. Link: magazine.sebastianraschka.co…
→ View original post on X — @randal_olson, 2026-04-04 13:37 UTC