The key distinction: Token-level SSL asks the model to recover the hidden tree through the leaves. Latent prediction lets the model climb the tree. Once one abstraction level is learned, it becomes the substrate for learning the next.
AI
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New paper on sample-complexity theory for data-efficiency gap
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The data-efficiency gap between machines and children may not be solved by “more tokens.” It may be solved by changing what the model is asked to predict. A beautiful new paper by Daniel J. Korchinski, Alessandro Favero, and Matthieu Wyart gives a sample-complexity theory for a
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Chrome integrates Gemini, transforming into a powerful AI agent!
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🌐 Chrome turns into an AI agent with Gemini integration!#googlechrome #googlegemini #AI #google #artificialintelligence #AIagent @PawlowskiMario @chidambara09 @Ym78200 @CurieuxExplorer @efipm @bigfundu @sayedflah @Ronald_vanLoon @cyngn @belindabeibi @odisseiaalfa… pic.twitter.com/g1IM0xbPpV
— Amitav Bhattacharjee (@bamitav) 31 mai 2026Chrome turns into an AI agent with Gemini integration! #googlechrome #googlegemini #AI #google #artificialintelligence #AIagent @PawlowskiMario @chidambara09 @Ym78200 @CurieuxExplorer @efipm @bigfundu @sayedflah @Ronald_vanLoon @cyngn @belindabeibi @odisseiaalfa
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AI-Generated Feature Film ‘Hell Grind’ Debuts at Cannes, Made in 14 Days
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🎬 The first AI-generated feature film just made waves in Cannes.
— Amitav Bhattacharjee (@bamitav) 31 mai 2026
Hell Grind was reportedly created in just 14 days using AI video tools, with a budget of around $500,000.#aiart #aifilm #aivideo #Aiartowork #AI #artificialintelligence #movie #film @sonu_monika @enilev… pic.twitter.com/BPrXNF0oh4The first AI-generated feature film just made waves in Cannes. Hell Grind was reportedly created in just 14 days using AI video tools, with a budget of around $500,000. #aiart #aifilm #aivideo #Aiartowork #AI #artificialintelligence #movie #film @sonu_monika @enilev
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GPT-5.5 creative use cases underperformance examples
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what creativity usecases does gpt 5.5 not perform well for you at? if you have some prompts/ sessions I’d love to know more
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Google’s free 5-day AI Agents course returns with vibe coding
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Google's back with another free 5-day AI Agents course. The last edition hit 1.5 million learners, and this time, they will dive into vibe coding with agents. The daily progression actually mirrors how agent development works in practice: → Day 1: Agent fundamentals and vibe
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AI memory shifts from retrieval to compilation with LLM Wiki
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RAG is already becoming the “old way” The future of AI memory is not retrieval.
It’s compilation. Here’s the shift in one sentence: From searching information To structuring knowledge The new model? LLM Wiki Instead of: Chunking documents Running similarity -
Apple AI to run distilled Google Gemini on iPhone
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Interesting updates on Apple AI: As Apple's WWDC lands next month, and the long-delayed Siri and on-device AI upgrades are expected to be the centerpiece: a smaller, distilled version of Google's Gemini running locally on iPhone silicon, pitched on privacy and lower token costs.
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GEPA visualizer: LLM self-optimizing prompts beyond black-box scoring
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A new GEPA visualizer shows an LLM optimizing its own prompts in real time.
— AlphaSignal AI (@AlphaSignalAI) 31 mai 2026
Most prompt optimizers treat the LLM like a black box.
They reduce every run to a single score and call it learning.
GEPA takes a different path.
It reads the full execution trace, error logs, and… pic.twitter.com/ixJEsIMutdA new GEPA visualizer shows an LLM optimizing its own prompts in real time. Most prompt optimizers treat the LLM like a black box. They reduce every run to a single score and call it learning. GEPA takes a different path. It reads the full execution trace, error logs, and
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Autoreview keeps GPT honest and helps achieve real goals
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gotta use autoreview, that keeps gpt honest and usually helps achieve the real goal.