Why do all the bots sound the same.
AGENTS
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Codex Coding Agent Leadership Shaping the Future of Building
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Codex is on fire right now. It’s the hottest and most successful coding agent in the game. What makes Codex special is the leadership behind it. Sharp minds. Clear vision. Just pure building energy. Big shoutout to the people holding it down and pushing the community forward every single day. You guys are not just managing, you’re shaping the future. @romainhuet @thsottiaux @dkundel – my Favourites.. These guys are not just part of the system. They are driving it. Day by day, step by step, making Codex better, faster, stronger. You can feel their impact. building has never been this easy. You just need to start. We are living in a time where dreams are not just dreams. They are drafts waiting to be shipped.
→ View original post on X — @romainhuet, 2026-04-04 15:30 UTC
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Using AI Agents to Convert EPUB Files to Text
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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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LevangieLabs: Cognitive Architecture Enhancing LLM Capabilities
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It is https://
levangielabs.com It is a cognitive architecture that greatly improves the LLMs it sits on top of. https://
alignednews.com was built completely with it. @blevlabs built it. -
Real Grounding Failure in AI Approaches
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the failure of real grounding pervades the entire approach
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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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Gemma 4 directs SAM 3 and RF-DETR for local video analysis
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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/vNVgVloAGBGemma 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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RPG UI Design Pattern for Agent Onboarding and Feature Discovery
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haha RGP UI overlaid on custom GPTs https://t.co/io9qxaurmC pic.twitter.com/Z1y0zrXD2Q
— Yohei (@yoheinakajima) 4 avril 2026haha 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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Positive feedback on Codex’s new subagent feature
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yeah. I think they did a good job with the new subagent feature in Codex btw
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Building Blocks of Coding Agents: Context, Tools, Memory
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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