“Dependably for LLM agent failures”
MACHINE LEARNING
-
Why Frontier LLMs are Converging on Mixture of Experts Architecture
By
–
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 -
Machine Learning Drives Predictive Maintenance ROI in Manufacturing
By
–
Georgia-Pacific saved up to $1 million per machine using @AWS machine learning for predictive maintenance on their paper mills. That is the kind of ROI that makes the AI conversation in manufacturing very concrete. #HannoverMesse #ManufacturingAI #AWS #aws_ai pic.twitter.com/JJG9KYAboO
— Lucian Fogoros (@fogoros) 15 mai 2026Georgia-Pacific saved up to $1 million per machine using @AWS machine learning for predictive maintenance on their paper mills. That is the kind of ROI that makes the AI conversation in manufacturing very concrete. #HannoverMesse #ManufacturingAI #AWS #aws_ai
-
Technical analysis of VLM labels and capabilities
By
–
"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 → -
OpenAI working on ‘Locked use’ feature for Codex on Mac
By
–
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?
-
New Paper Details Symmetry Breaking and Goldstone Modes in Deep Learning
By
–
We put the paper online that provides further details (beyond my ICLR keynote) on the role of spontaneous symmetry breaking and Goldstone modes in deep learning. Enjoy! (w/ Nabil Iqbal, Thomas Andy Keller, Takeru Miyato and Yue Song.)
-
How Amazon’s AI Classification Algorithm Works
By
–
C'est quoi ce bordel Qui peut m'expliquer comment l'algorithme de classification d'Amazon fonctionne svp ?
-
New Anthropic Research Paper on Transformer Interpretability
By
–
Full paper from Anthropic's interpretability team: https://
transformer-circuits.pub/2026/nla/#intr
oduction
… -
Shifting from Prompt Templates to Agentic Thinking Systems
By
–
This is why I keep building thinking systems instead of prompt templates. If the model is already planning, already evaluating context, already forming internal hypotheses before it generates anything, then swapping templates misses the point. The real skill is shaping the
-
Mechanistic Interpretability: Translating AI Model Activations
By
–
The core breakthrough is a translation layer. AI models process everything as high-dimensional number vectors called "activations." Humans can't read them. Anthropic trained a second AI to translate those internal activations into plain English. It's a mind-reader for the