Microsoft’s MAI-Image-2 enters the top three AI image generators in the world https://
thenextweb.com/news/microsoft
-mai-image-2-top-three-arena-leaderboard?utm_source=twitter&utm_medium=share&utm_campaign=article-share-button&referral
… via @thenextweb
AI
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Microsoft’s MAI-Image-2 Ranks Top Three Global AI Image Generators
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Jensen Huang and AI Leaders Discuss Open Models
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The future of AI isn't being built in a vacuum. 🤝 NVIDIA Founder and CEO Jensen Huang sat down with the builders from AMP PBC, @bfl_ml, @Cursor_ai, @LangChain, @MistralAI, @EvidenceOpen, @Perplexity_ai, @Reflection_AI, @Thinkymachines & @Allen_ai to discuss the rapid rise of open frontier models. 🔗 Learn more: blogs.nvidia.com/blog/gtc-2026-news/#open-models-panel [Translated from EN to English]
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AI system limitations and auditing challenges
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NOOOOOOOOON ÇA NE MARCHE PAS CAAAAAAAAAAA !!!
— Defend Intelligence (Anis Ayari) (@DFintelligence) 19 mars 2026
On interview pas des IA en 2026 mais voyons.
Surtout quand on sait qu’ils sont déterminé par le contexte de l’utilisateur, la manière de poser les questions etc
Ce n’est pas comme ça qu’on audit un système d’IA saperlipopette. https://t.co/okGIgKMezJNOOOOOOOOON ÇA NE MARCHE PAS CAAAAAAAAAAA !!! On interview pas des IA en 2026 mais voyons. Surtout quand on sait qu’ils sont déterminé par le contexte de l’utilisateur, la manière de poser les questions etc Ce n’est pas comme ça qu’on audit un système d’IA saperlipopette.
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Buy a GPU to Run Your Entire System Locally
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a person interviewing an ai
— Yohei (@yoheinakajima) 19 mars 2026
this is a format we're going to see a lot more of https://t.co/pvfF3nbNeJa person interviewing an ai this is a format we're going to see a lot more of
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AI Models Can Combine Concepts Compositionally
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and they can also mix concepts compositionally "A pink elephant in beautiful Bariloche, Argentina"
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Introducing GLM 5 Turbo for Research Paper Analysis
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Introducing GLM 5 Turbo for understanding research papers 🚀
— alphaXiv (@askalphaxiv) 19 mars 2026
Highlight any section of a paper to ask questions and “@” other papers for quick context, comparisons, and benchmark references pic.twitter.com/WKPGQP3ExMIntroducing GLM 5 Turbo for understanding research papers Highlight any section of a paper to ask questions and “@” other papers for quick context, comparisons, and benchmark references
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AI Writing Guides: Beyond Human-Like Generation Techniques
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not really, the point of the guide isn't to sound like katie! it's to get as much information about making writing that sounds like katie—quite a different use case not all writing needs to sound like a human!
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Share Files via Tailscale Directly from macOS Finder
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if you use tailscale, right click file in finder, share, tailscale, pick the device
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Self-Orchestrating AI Agents: The Next Major Breakthrough in LLM Performance
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It’s happening: nitter.net/nousresearch/status/20… Matt Shumer (@mattshumer_) Agents that natively self-orchestrate, managing their own context, tools, and sub-agents, are the next big unlock in LLM performance. Right now, a skilled engineer building an optimized harness, with thoughtful data flow, separation of concerns, sub-agent management, etc., can make dramatic improvements over baseline for specific tasks. If a model could do this itself, that’d be a major step forward. You give it an objective and a set of tools, and it figures out the optimal way to orchestrate itself to do the task. For example, I’m building a very primitive AI scientist that I’ll open-source soon. Most of the work isn’t in the prompt, it’s in the harness… what the orchestrator sees, what sub‑agents see, what gets shared between them and when, where we summarize vs. pass raw data, and which tools each agent controls. Doing this allows me to dramatically improve what the model can do on its own. If a model can effectively design its own harness for a given problem, it’d be a huge step forward. My bet: self-orchestrating models… ones that manage their own context, tools, and sub-agents, will move the frontier almost as much as the jump from chatbot → reasoning did. Maybe more. — https://nitter.net/mattshumer_/status/1991942387145322715#m
→ View original post on X — @mattshumer_, 2026-03-19 21:48 UTC