2M token context sounds incredible but I wonder how it works in practice. KV cache at that scale is a real engineering problem, and results are quite often disappointing for higher context, especially for inter-connected questions that basically needs some sort of "retrieval"
AI
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Human Approval Portal for Autonomous Agents
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Building a 'Human-in-the-Loop' Approval Gate for Autonomous Agents machinelearningmastery.com/b… [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-05 12:44 UTC
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AI Code Quality Beyond Tests: Complexity Metrics Matter
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Tests passing while complexity explodes from 29 to 285 is the perfect illustration of why benchmarks are misleading right now. The field keeps measuring "can AI write code" when the real question is "can it maintain software." Very different things.
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Anthropic acquires Coefficient Bio for AI-driven drug development
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Anthropic just acquired AI biotech startup Coefficient Bio for ~$400M, a team of fewer than 10 people building AI that can plan drug R&D, manage clinical regulatory strategy, and identify new drug opportunities. Exactly has he invisioned in his blog "Machines of Loving Grace".
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Industrial IoT Maturity Acceleration: Industry Perspectives Sought
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Industrial IoT maturity is accelerating fast. Curious about your take on this. @IIoT_World @CRudinschi @agentic_factory @shyamvaran @MasterofIoT @survivingwithan
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Language Thinking Limitations and Abstract Mental Models in AI
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Thinking in language has limited applications, largely in coding and mathematics where the language itself can help reasoning. But, as I've been saying for years, thinking manipulates mental models in abstract (continuous) representation space. Soooo, xAI gonna use JEPA now?
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Quantum Computers Are Coming But Not As Expected
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🚨 Quantum Computers Are Coming… But Not Like You Think Quantum computers have long been "science fiction." They don't just use 1s and 0s — they explore multiple possibilities at once.
Now, for the first time, they're showing real-world power: discovering new medicines, solving puzzles classical computers can't. But here's the catch — they're not ready for daily use. What we see today is just the start… a tiny crack in a door that could change everything.
Are we ready for what's behind it? Source
Marr, B. Quantum computing trends that will shape every industry. Forbes. [Translated from EN to English]→ View original post on X — @deeplearn007, 2026-04-05 12:25 UTC
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Gemma 4 31B Quantized Models Evaluated on NVFP4 and FP8
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Gemma 4 31B, quantized and evaluated. Instruction following evals are live on our NVFP4 and FP8-block model cards. Results look great. Reasoning and vision evals coming later this week. NVFP4: huggingface.co/RedHatAI/gemm… FP8: huggingface.co/RedHatAI/gemm… Red Hat AI (@RedHat_AI) The open source ecosystem moved fast on Gemma 4 today. Google DeepMind released it. @vllm_project had Day 0 support across diverse accelerators. Red Hat AI Inference Server is ready for Gemma 4 experimentation too. Guide in the reply 👇 — https://nitter.net/RedHat_AI/status/2039876315222782215#m
→ View original post on X — @clementdelangue, 2026-04-05 12:20 UTC
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Holographic Car Window Projects Real-Time Driving Data
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Holographic Car Window Projects Real-Time Driving Data — The Future Is Here
— Ronald van Loon (@Ronald_vanLoon) 5 avril 2026
by @NathieVR
#VR #VirtualReality #AR #AugmentedReality pic.twitter.com/bSqCbUBgVcHolographic Car Window Projects Real-Time Driving Data — The Future Is Here by @NathieVR #VR #VirtualReality #AR #AugmentedReality
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Agentic AI Periodic Table: Memory, Planning, Tools, Safety
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Agentic AI now has its own “Periodic Table” 🧪🤖 From: LLM, RAG, RL to PLAN, MAS, LTM to SAFE, HUMAN oversight to HR, MKT, LEGAL use cases Autonomous AI = memory + planning + tools + safety + collaboration. It’s a system, not a prompt. Credit: Prem Natarajan #AgenticAI #AIStack #LLM
→ View original post on X — @ingliguori, 2026-04-05 12:17 UTC