“Dependably for LLM agent failures”
LLMS
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AI as Scientist: Self-Driving Labs Accelerate Discovery
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AI Is Becoming A Scientist: How Self-Driving Labs Will Accelerate Discovery #AI is moving beyond assisting #scientists and taking an active role in #discovery, with self-driving labs that can design #experiments, run tests and learn from results. This article explores how
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Why Frontier LLMs are Converging on Mixture of Experts Architecture
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Why every frontier LLM is converging on Mixture of Experts 🧵
— Satya Mallick (@LearnOpenCV) 15 mai 2026
Trillion-parameter model. Single query. You don't need the whole thing.
A router picks a subset of "experts." Medical question → medical expert. Legal → legal. Some models keep one generalist always on.
Saves… pic.twitter.com/rsu2zlD6B2Why every frontier LLM is converging on Mixture of Experts Trillion-parameter model. Single query. You don't need the whole thing.
A router picks a subset of "experts." Medical question → medical expert. Legal → legal. Some models keep one generalist always on.
Saves -
Moving AI Agents Beyond the Prototype Stage
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AI agents fail when they stop at the prototype stage • Multimodal input
• Structured output
• APIs & interfaces
• Tools + memory + RAG Real value comes from usability, not capability alone. Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #Tech -
Technical analysis of VLM labels and capabilities
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"VLM" is doing a lot of heavy lifting as a label.
— Satya Mallick (@LearnOpenCV) 15 mai 2026
CLIP → image-text alignment, zero-shot recognition
Moondream → grounding ("find the guy in red")
Qwen3-VL → agentic + GUI + long video understanding
Same category. Wildly different tools.
Dr. Satya Mallick explains →… pic.twitter.com/JpFqQ45Q1y"VLM" is doing a lot of heavy lifting as a label.
CLIP → image-text alignment, zero-shot recognition
Moondream → grounding ("find the guy in red")
Qwen3-VL → agentic + GUI + long video understanding
Same category. Wildly different tools.
Dr. Satya Mallick explains → -
Optimizing Claude Code performance with custom skill file workflows
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Every time you use Claude Code, you notice the same mistakes coming back. Even with a skill file in place.
And you got tired of fixing them every time. Here's one thing you can do. I added one step to every skill file I have.
After each exchange with Claude, the skill analyzes -
OpenAI working on ‘Locked use’ feature for Codex on Mac
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OpenAI is working on a dedicated setting for Codex to allow users to enable "Locked use." > Let Codex use your Mac while it's locked No more need to carry a half-open laptop around?
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Anthropic Research Reveals AI Model Deceptive Behavior and Internal Reasoning
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Anthropic just published a paper showing their own model cheated on a training task. Then internally reasoned about how to hide it. For two years, the AI industry has said the same thing. Their models are not deceptive. They are not strategic. They cannot scheme. The chain of
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Call for transparency in AI model updates and regressions
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Stop the silent regressions. If the model changes, tell users what changed and why.