Btw, this article was written with a help of Claude Opus 4.8 Max. From my pov it is the best for writing at this moment.
AI
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Can AI See and Hear Simultaneously?
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Can AI truly see and hear together? Researchers from NUS, Oxford, University of Toronto, and Microsoft Research present a comprehensive survey on Audio-Visual Intelligence. They unify the fragmented field of large foundation models that combine sound and vision—from speech.
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AI capabilities outpace measurement, says Snorkel AI CEO
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“Our ability to do stuff with AI has significantly outpaced our ability to measure capabilities,” says @ajratner, CEO of Snorkel AI.
— Snorkel AI (@SnorkelAI) 31 mai 2026
Alex recently joined the @chain_ofthought podcast with @ConorBronsdon to talk all things frontier AI.
Watch the full conversation covering the… pic.twitter.com/cQZkRoY16i“Our ability to do stuff with AI has significantly outpaced our ability to measure capabilities,” says @ajratner
, CEO of Snorkel AI. Alex recently joined the @chain_ofthought podcast with @ConorBronsdon to talk all things frontier AI. Watch the full conversation covering the -
MWC 2026: AI integrates into work, communication, and decisions
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MWC 2026 made one thing very clear — AI is quickly integrating into how we work, communicate, and make decisions every day. From AI-powered devices and smart assistants to autonomous workflows and infrastructure.
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Evaluating Deep Agents with LangSmith on AWS
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Evaluating Deep Agents with LangSmith on AWS Great deep dive blog with our friends at AWS on evaluating DeepAgents with LangSmith Covers datapoint and evaluator design for longer horizon agents https://
aws.amazon.com/blogs/machine-
learning/evaluating-deep-agents-using-langsmith-on-aws/
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Anthropic plans consumer and bioscience expansion with new features
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Anthropic is planning to further expand into the consumer and bioscience sectors. The biggest things to watch for – Conway agent
– Orbit assistant
– Knowledge-based memory
– Multilingual Voice Mode
– Operon for bioscience researchers and more! Which one do you think will -
AI stumble predicted as ‘too big to fail’ with potential carnage
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Anyone remember how I said in January 2025 that AI was going to be stumble and be dubbed “too big to fail”, along with cries for bailouts? If that call was correct – which increasingly seems likely, as the bets escalate to insane heights – the carnage could be immense:
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Moral dimension of making first-pass cognition historically cheap
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There is, particularly, a moral dimension on “We will be able to make first-pass cognition available at a price point so low it is historically unachievable for any quantum of effort from a professional.”
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Half-asleep post: GPT Image 2 fails to follow “Minimalist flat-lay”
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My bad, it was posted while I was half asleep TBH, from my pov GPT Image 2 didn't follow the most important part at all "Minimalist flat-lay"
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Token-level SSL vs Latent Prediction for Recursive Hierarchy Learning
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The key distinction: Token-level SSL asks the model to recover hierarchy through the leaves. Latent prediction lets the model climb the hierarchy recursively. Once one abstraction level is learned, it becomes supervision for the next.