Let’s go open-source and local!
AI
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Reachy Mini Praised as Coolest Social Robot at HRI 2026
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TFW the R&D boss of arguably the oldest and most legendary robotics lab in the world stops you at a conference to tell you that your robot is "the coolest social robot in the world" Pollen Robotics (@pollenrobotics) "The coolest social robot in the world" As HRI 2026 in Edinburgh showed us, Reachy Mini already holds a special place in your hearts. Step by step, it is becoming the ideal companion for your projects, and your interactions with our robot encourage us to make it even better! — https://nitter.net/pollenrobotics/status/2040350732042285501#m
→ View original post on X — @thom_wolf, 2026-04-04 15:25 UTC
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AI Systems Demonstrate Remarkable Personal Understanding Capabilities
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Wow this is so specific and personal. It’s like they know me better than I know myself!
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Bernard Marr on BBC AI Decoded: What Jobs Will AI Leave Us?
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Was such an honor to appear on the BBC programme AI Decoded! The title of the episode is: What Jobs Will Al Leave Us? Hosted by Christian Fraser and Priya Lakhani OBE we were also joined by @EllaHaferMalz. It shows six times on BBC News and BBC World this weekend and you can watch it on BBC iPlayer and on YouTube: piped.video/6zAgTga9kZw
→ View original post on X — @bernardmarr, 2026-04-04 15:20 UTC
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Real Grounding Failure in AI Approaches
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the failure of real grounding pervades the entire approach
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Defining AI Hallucinations: Narrow vs Broad Interpretations
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Do you take a narrower or broader meaning for the term “hallucination”? Does it mean (only) overgeneralizations and confabulations? Or do you also include, for example, boneheaded errors that could have been solved by search?
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Neurosymbolic Tool Use and LLM Mathematical Limitations
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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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Integrating Codex Plugin into Claude Code for AI-assisted Development
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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/FtzLX9Rce4You 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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EasySteer: Unified Framework for High-Performance LLM Steering
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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