World models that learn from real-world data instead of text is a fascinating direction. But 'overcoming hallucination' is a bold claim, we'll see that at scale!
GENERATIVE AI
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Copilot Cowork, Anthropic Integration and Microsoft’s New Bundle
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3-10-2026 ($) •Copilot Cowork •Anthropic's Integration •Microsoft's New Bundle stratechery.com/2026/copilot… [Translated from EN to English]
→ View original post on X — @benthompson, 2026-03-10 10:11 UTC
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Separate Models for Review: External Eval Pipelines Essential
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Separate model for review is the move. Same blind spots on generation and verification is exactly why I keep pushing for external eval pipelines.
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RAAIS Summit Announces Jeffrey Hawke as 10th Speaker
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the time is here – we're launching our 10th @raais summit speakers! first up, @jeffrey_hawke
, co-founder/cto at world simulator pioneers @odysseyml jeff's work intersects generative modelling, embodied intelligence, and large-scale learning he was prev vp tech @wayve_ai -

AI Inference Era: The Next Architectural Shift Beyond Training
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The AI training era is reaching its limit. While the world is obsessed with $100B "Gigafactories," we’re looking at what happens next. At MWC Barcelona, Axelera AI CEO Fabrizio Del Maffeo sat down with theCUBE to discuss the Inference Era. The architectural reset of the
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LLM Providers in Growth Stage, Not Yet in Enshittification Phase
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It's wild to me that everyone's so paranoid about LLM providers cutting corners or chiselling revenue. Friends, we're in the "desperate race for growth" stage. The enshittification doesn't start until much later. (This isn't really a bad example of what I'm complaining about, but the people with wild conspiracies about how Claude Code is engineered to churn through tokens are always small accounts I don't want to dunk on. Anyway the point is that the products flip settings on or off or behave in unideal ways because they're being built not extremely well extremely extremely quickly. It's not safe to assume these companies have your best interests at heart, but it is very safe to assume they want you to have a good time — for now.) Miles Brundage (@Miles_Brundage) Lately, Claude has been defaulting to Sonnet in a way that I don't think it ever did before. PLEASE STOP THIS, IT'S REALLY ANNOYING — https://nitter.net/Miles_Brundage/status/2031110468014924232#m
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OpenAI Launches GPT-5.4 with Native Computer Usage Capabilities
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OpenAI launched GPT-5.4 on March 5 — first model with native computer-use built in. One system that can reason, code, and operate your desktop. That's a meaningful consolidation. openai.com/index/introducing-gpt-5-4/ #AI [Translated from EN to English]
→ View original post on X — @svenphilipsen, 2026-03-10 08:00 UTC
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Reality of Agentic AI: Beyond Labels and Simple Workflows
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𝗧𝗵𝗲 𝗿𝗲𝗮𝗹𝗶𝘁𝘆 𝗼𝗳 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄. → Many people are talking about AI agents. Only a few are actually building systems that generate real value. → Most “AI agents” today are still assistants or simple workflows with a new label. That gap is
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LLMs’ jagged frontier: memorization versus inference capabilities
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LLMs' jagged frontier is not so jagged when you look at it in the right space. LLMs have memorized vastly more sentences than any human, but their ability to correctly combine them into new inferences is still limited. The rest follows.