Leaving Meta and PyTorch I'm stepping down from PyTorch and leaving Meta on November 17th. tl;dr: Didn't want to be doing PyTorch forever, seemed like the perfect time to transition right after I got back from a long leave and the project built itself around me. Eleven years
MACHINE LEARNING
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Mathematical Exploration and Discovery at Scale with AI
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Mathematical exploration and discovery at scale Georgiev et al.: https://
arxiv.org/abs/2511.02864 #ArtificialIntelligence #DeepLearning #MachineLearning -
DeepSeek-OCR: Revolutionary VLM Reduces Token Usage in OCR Processing
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📢Revolutionizing OCR: How DeepSeek-OCR Solves Token Explosion
— Satya Mallick (@LearnOpenCV) 6 novembre 2025
A picture is worth a thousand words, but processing those words shouldn't cost a fortune in compute!
Enter DeepSeek OCR: A game-changing VLM that compresses complex document visuals into just 64 – 400 tokens.
What’s… pic.twitter.com/DjjGcVgOgBRevolutionizing OCR: How DeepSeek-OCR Solves Token Explosion A picture is worth a thousand words, but processing those words shouldn't cost a fortune in compute!
Enter DeepSeek OCR: A game-changing VLM that compresses complex document visuals into just 64 – 400 tokens. What’s -
Predictive Maintenance Using Time-Series Data Analytics in Manufacturing
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Most factories treat machine data like afterthoughts.
The ones winning? They harness time-series streams for predictive insight before breakdowns occur. https://
buff.ly/8GAEHiu #sponsored #influxdata_iiot #InfluxDB #DataAnalytics #IIoT @IIoT_World via @fogoros -
New robotics model scales like LLMs with improved performance
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Por lo que indican es el resultado de su nuevo modelo, entrenada a escalas mayores que otros modelos de robótica (habría que ver cómo afecta en la latencia) y que parece cumplir una ley de escala similar a la vista en los LLMs donde más es mejor.https://t.co/w2tEhu31RQ
— Carlos Santana (@DotCSV) 5 novembre 2025Por lo que indican es el resultado de su nuevo modelo, entrenada a escalas mayores que otros modelos de robótica (habría que ver cómo afecta en la latencia) y que parece cumplir una ley de escala similar a la vista en los LLMs donde más es mejor.
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Databricks Free Edition Hackathon: Build AI Projects
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Thousands of powerful data + AI projects have already been built with Databricks Free Edition. Now it’s your turn to join the first Databricks Free Edition Hackathon! Build AI agents, train ML models, explore data engineering, or create dashboards — then showcase your work to
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Zongyi Li Receives Award for Neural Operators Research
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Congratulations @ZongyiLiCaltech and thank you @schmidtsciences for supporting him to continue foundational work in neural operators. Congratulations to all the awardees.
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IMO-Bench Development: Gemini Math Capabilities Evolution
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A bit of a history of IMO-Bench and our IMO efforts:
a. We started building IMO-Bench around early 2024, which was the precursor of ProofBench (basic). b. IMO-Bench was first mentioned in the Gemini 1.5 paper around May 2024. At that time, Gemini Math-specialized 1.5 Pro scored -
ML Research: Engineering Practice Over Philosophical Speculation
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ML research is an engineering discipline, not a philosophy seminar. You build, you test, you learn. Untested ideas are just speculation.
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Exploring AI Layers: Neural Networks to Deep Learning Explained
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Peeling back the layers of AI! This infographic unravels the complex world from Neural Networks to Deep Learning. Dive deeper into AI with the insights from @ingliguori
's 'The Digital Edge' http://
bit.ly/3u4pILl #ArtificialIntelligence #MachineLearning #DeepLearning