Web designers after reading this: https://t.co/yONuEtjT8L pic.twitter.com/p3y16ldruL
— Charly Wargnier (@DataChaz) 27 mai 2026
Web designers after reading this:
AGI
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WordPress categories covering AI topics
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Managed Deep Agents for Long-Horizon AI Tasks and Tool Use
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Managed Deep Agents is built for agents that need to work over long time horizons, use tools, preserve context, and produce artifacts. A few examples of what teams are building: Support + triage agents Research agents Coding agents Data analysis agents Internal
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LangChain Labs Announced for Continual Learning in Agents
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ICYMI: We announced LangChain Labs at Interrupt. – An applied research effort focused on continual learning for agents – Early research partners: @NVIDIA
, @harvey
, @PrimeIntellect
, @Fireworks_AI
, @Baseten -
Following Gary Marcus’s 2020 suggestions could have led to AGI
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If we had implemented everything I suggested in my 2020 arXiv paper 'The Next Decade in AI', we might have actually achieved AGI by now. Over the past three years, after a digression motivated by the false promise of simple
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Agentic AI Production Adoption Slower Than Tech Hype Suggests
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There are not a lot of signs of agentic AI ramping into production at normal companies so far. There is a lot of boosterism from tech companies about agentic AI. Without trillions spent on agents by enterprises, the whole thing could come crashing down… Kudos to Tavis McCourt
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Top AI News: AGI, Bias, Tools, and Industry Insights
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Top stories in AI today: – Exclusive interview with Demis Hassabis on AGI
– Jensen Huang pushes back on ‘AI-proof’ subjects
– Build a weekly marketing report that runs itself
– Stanford finds clear racial bias in AI hiring
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Demis Hassabis predicts AGI by 2029, sparking debate on its definition
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Demis Hassabis now says AGI could arrive by 2029, a year earlier
than his previous estimate, and told Axios we're standing in the
"foothills of the singularity." Bold claim. But the field still can't agree on what AGI actually
means. Hassabis defines it one way, Altman another, -
AI Agents Scaling: From Useful to Network Intelligence Layer
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10 agents: useful
100 agents: powerful
1,000 agents: compounding
10,000 agents: network intelligence layer -
AI Model Claude Mythos Solves Open Erdős Problem with Novel Approach
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Erdős problem #90 has been open for decades. Over the weekend a mathematician tested whether Claude Mythos could solve it. It did. But what caught my attention: Mythos didn't replicate the known approach from OpenAI's #1196 solution. It repeatedly settled on a different
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DeepMind CEO Discusses AGI, Curing Diseases, and Post-AGI Human Meaning
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We sat down with DeepMind CEO @demishassabis to find out how close we are to AGI, curing every disease with AI, and human meaning post-AGI.
— The Rundown AI (@TheRundownAI) 26 mai 2026
Full interview below, and the rundown is coming to the newsletter tomorrow! https://t.co/vW3m58yfPPWe sat down with DeepMind CEO @demishassabis to find out how close we are to AGI, curing every disease with AI, and human meaning post-AGI. Full interview below, and the rundown is coming to the newsletter tomorrow!