The human brain is incredibly efficient because it only activates the specific neurons needed for a thought. Modern LLMs naturally try to do this too (> 95% of neurons in feedforward layers stay silent for any given word), but our hardware punishes them for it. One of the most
SYSTEMS
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SkillOS: Skill Curation for Self-Evolving Agents
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SkillOS Learning Skill Curation for Self-Evolving Agents paper: https://
huggingface.co/papers/2605.06
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Google reclaims lead in FrontierMath Tier 4
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LEADER in FRONTIER MATH T4! New record in one of the most challenging math benchmarks -FrontierMath Tier 4- where Google has just reclaimed the lead with a 47.9% !!, stealing the position from GPT 5.5 Pro It does it with its new math agent
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Global Activation Approximation for Long-Context Understanding
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MiA-Signature Approximating Global Activation for Long-Context Understanding paper:
https://huggingface.co/papers/2605.06416
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Unified Evolution of AI-Augmented Agents via Reinforcement Learning
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Skill1 Unified Evolution of Skill-Augmented Agents via Reinforcement Learning paper:
https://huggingface.co/papers/2605.06130
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RAG is old way; future AI memory is compilation, not retrieval
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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 -
AI compute crunch and its impact on chatbots
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What is the #AI compute crunch—and how will it affect #Chatbots?
by @denibechard @sciam Learn more: https://
bit.ly/4ukDNhE #ArtificialIntelligence #MachineLearning #ML #MI -
AI as a System of Small Functions, Not a Giant Brain
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The biggest “aha” from this conversation with Arno at Elastic: AI should not be one giant brain. → It should be a system of small, well-defined functions
→ Each function has a clear role
→ Each agent only gets the power it needs, nothing more This is how you avoid chaos as -
AI initiatives fail due to agent power imbalance
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Most AI initiatives don’t fail because the models are weak.
— Ronald van Loon (@Ronald_vanLoon) 8 mai 2026
They fail because teams give agents too much power, or not enough.
That’s the real scaling problem nobody talks about, and it’s exactly what I discussed with Arno van de Velde, Principal Solutions Architect at… pic.twitter.com/4AJ6GwNAIMMost AI initiatives don’t fail because the models are weak. They fail because teams give agents too much power, or not enough. That’s the real scaling problem nobody talks about, and it’s exactly what I discussed with Arno van de Velde, Principal Solutions Architect at
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Secretary MEITY keynote at AB PM-JAY AI Hackathon 2026
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Shri S. Krishnan, @SecretaryMEITY
, delivers the Keynote Address at the AB PM-JAY Auto-Adjudication Hackathon Showcase 2026, a two-day national platform bringing together policymakers, technologists & innovators to advance AI-driven health claims management at @iiscbangalore .