Claude Code Chrome Extension FTW!
GENERATIVE AI
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AI Reasoning Laziness and Prompt Injection Solutions
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Anthropic semble avoir trouvé une solution aux problèmes où l’IA vous donne une réponse incorrect car elle a la flemme et préfère arrêter le raisonnement. Moi je dis ils doivent faire du prompt injections à chaque thinking avec des menaces .
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Anthropic Acceleration: Model Release Cycle Shortening Trend
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Anthropic released the next version sooner than I thought – the trend is accelerating – from 50-70 days before, down to 42 days since Opus 4.7
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Opus 4.8 research workflow and GPT-5.5 feedback
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Opus 4.8 formulated the hypotheses in advance, conducting data cleaning, did research on references, conducted analyses, did robustness checks, and put out the whole paper in LaTEX style. GPT-5.5 found one issue with a hallucinated result, and had other constructive feedback.
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Aleph 2.0 Targeted Video Editing: Selective Color Change
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took a clip from a kids’ ball pit fight and used Aleph 2.0 to change the wall colors from yellow and blue to white and red
— SONIA (@S0N_IA_) 28 mai 2026
what stood out is how targeted the edit was
the wall changes
but the movement, lighting and chaos of the scene stay intact
same clip
different visual… pic.twitter.com/ZRM9AdIaSntook a clip from a kids’ ball pit fight and used Aleph 2.0 to change the wall colors from yellow and blue to white and red what stood out is how targeted the edit was the wall changes
but the movement, lighting and chaos of the scene stay intact same clip
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AI agents wrote and reviewed an academic paper
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I had Opus 4.8 in Claude Code write a sophisticated, if minor, academic paper from a archive of hundreds of de-identified research files from years ago I had to use GPT-5.5 Pro as a reviewer, it spotted one major error & some minor points. Opus corrected https://
embeddedness-gradient.netlify.app -
Most Powerful AI Models Growing Stronger Every 1-2 Months
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What a trip that every 1-2 months the most powerful models on the planet, used by everyone, get even more powerful.
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LiquidAI Reasoning Model: 1B Parameters, On-Device Performance
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LiquidAI has built a tiny reasoning model that achieves useful performance for on device use cases with only 1B active parameters
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Decentralized Training Scales Video Models Without Data Centers
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This is the part nobody is talking about yet.
— AI Highlight (@AIHighlight) 28 mai 2026
You can now train a serious video model without owning a single data center.
Bagel proved decentralized training scales from images to video, and the next stop is world models. https://t.co/vhPzDocy2BThis is the part nobody is talking about yet. You can now train a serious video model without owning a single data center. Bagel proved decentralized training scales from images to video, and the next stop is world models.
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Anthropic to release mythos-class models in coming weeks
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new from me: anthropic is widely releasing "mythos-class models" in the coming weeks. the company had forecast this last week, but today tucked the timing into the very bottom of a blog post about claude opus 4.8.