Everyone wants to do multi-agent systems…but few should. Multi agent is the new microservices. Multi-agent systems, like microservices, can be powerful. But most enterprises risk adding distributed complexity long before they have a problem worth distributing, as I argue in my
INNOVATION
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Galileo 0 Challenges Giants in Physical Reasoning AI
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The "World Model" arms race just got a reality check.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 6 avril 2026
Physion Labs proves you don't need billions to innovate. Galileo 0 outperforms the giants in physical reasoning, moving us from "more pixels" to actual consistency.
The generate → critique → refine loop is the new gold… https://t.co/NkkcqG62j3The "World Model" arms race just got a reality check. Physion Labs proves you don't need billions to innovate. Galileo 0 outperforms the giants in physical reasoning, moving us from "more pixels" to actual consistency. The generate → critique → refine loop is the new gold
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Mushroom-Picking Robots Revolutionize Precision Harvesting
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Mushroom-Picking #Robots Revolutionize Precision Harvesting
— Ronald van Loon (@Ronald_vanLoon) 6 avril 2026
by @lukas_m_ziegler
#AI #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/GWwkxwLwSdMushroom-Picking #Robots Revolutionize Precision Harvesting by @lukas_m_ziegler #AI #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology
→ View original post on X — @ronald_vanloon, 2026-04-06 17:23 UTC
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LLM Hallucinations Remain Unsolved, Scaling Risks Persist
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These results keep coming. @GaryMarcus was way ahead on calling out these problems and dangers. And we're at risk of baking these issues into systems we rely on. Lars Christensen (@MaMoMVPY) I am increasingly coming to this conclusion – there NO SIGNS the problems with hallucinations are getting solved. In fact if anything it is now spreading to coding and the use of agents where it is hidden and could led to serious problems down the road. Therefore we can't really scale LLMs. LLMs are very useful tools, but you need to know about the limitations. Most of the investments in LLMs today assumes away these limitations. — https://nitter.net/MaMoMVPY/status/2041031551182340218#m
→ View original post on X — @garymarcus, 2026-04-06 17:20 UTC
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LangChain Builds Community Middleware Page, Seeks Agent Middleware Use Cases
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we're building out a community middleware page for @LangChain, and we need your help growing it. agent middleware is one of the most powerful building blocks we've shipped. what are you building with it? docs.langchain.com/oss/pytho…
→ View original post on X — @langchain, 2026-04-06 17:17 UTC
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OpenAI Launches AI Safety Fellowship Program
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Introducing the OpenAI Safety Fellowship, a new program supporting independent research on AI safety and alignment—and the next generation of talent. openai.com/index/introducing-openai-safety-fellowship/ [Translated from EN to English]
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Hugging Face and SAIR collaborate on AI for Mathematics
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Terence Tao's SAIR foundation is doing some really cool work on enabling AI4Maths to be open and collaborative
— Lewis Tunstall (@_lewtun) 6 avril 2026
I'm heaps excited that we now get to work together on bringing projects like their Mathematics Distillation Challenge to the HF ecosystem. Let's go 🚀! https://t.co/Mv0QbOD2I0Terence Tao's SAIR foundation is doing some really cool work on enabling AI4Maths to be open and collaborative I'm heaps excited that we now get to work together on bringing projects like their Mathematics Distillation Challenge to the HF ecosystem. Let's go 🚀! SAIR (@SAIRfoundation) We’re excited to announce our collaboration with @huggingface. Through SAIR competitions, we aim to provide open data, benchmarks, tools, and models, and expand the frontier of AI x Science through collective contributions from the community. SAIR on Hugging Face: huggingface.co/SAIRfoundatio… — https://nitter.net/SAIRfoundation/status/2041183272445559179#m
→ View original post on X — @thom_wolf, 2026-04-06 17:03 UTC
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Trinity-Large-Thinking: First OSS Model Beating Sonnet 4.6
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Okay this one seems real. First time ever an OSS model beats Sonnet 4.6(!!) on our evals. Now begins vibe testing, but this is promising. https://t.co/FBRV4k8QuS
— Flo Crivello (@Altimor) 6 avril 2026Okay this one seems real. First time ever an OSS model beats Sonnet 4.6(!!) on our evals. Now begins vibe testing, but this is promising. Arcee.ai (@arcee_ai) Today we're releasing Trinity-Large-Thinking. Available now on the Arcee API, with open weights on Hugging Face under Apache 2.0. We built it for developers and enterprises that want models they can inspect, post-train, host, distill, and own. — https://nitter.net/arcee_ai/status/2039369121591120030#m
→ View original post on X — @clementdelangue, 2026-04-06 17:02 UTC
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Token efficiency improvements enable extended AI sessions
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We've been landing token-efficiency improvements so you can do more in your sessions. If you have a session where usage felt particularly high, can you run /bug and post the feedback id? Feel free to tag me directly
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SubStudio: Free and Open Source Video Subtitle Generation
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Announcing SubStudio!
— Hassan (@nutlope) 6 avril 2026
Generate subtitles for any video in seconds with AI. 100% free & open source!
Powered by Whisper on @togethercompute and @FFmpeg via fluent-ffmpeg. pic.twitter.com/kItRvmDB4DAnnouncing SubStudio! Generate subtitles for any video in seconds with AI. 100% free & open source! Powered by Whisper on @togethercompute and @FFmpeg via fluent-ffmpeg. [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-06 17:00 UTC