Side quest: Diffusion model but instead image only input/output but for language modeling.
MACHINE LEARNING
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Theory from Experimentation: The Role of Data in Deep Learning Research
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It's closer to the other way around — I arrived at these ideas by doing experimental deep learning research and trying to make sense of my results. Theorizing requires data. And once you have the theory you must test it — which is why I made ARC (an experimental test) and
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PyTorch Contributor Recognized for Framework Growth
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I hope your skin keeps glowing because of PyTorch 😀
jk jk.
You did more to help PyTorch's growth, and then to help course-correct PyTorch several times than you realize. Thanks for your ongoing service. I hope you continue using it for the next like 30 years, even after we get -
PyTorch Framework Transition: Pleasant Developer Experience
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Great run Soumith! Of all the deep learning framework transitions I've been through where I re-wrote ~all of my code (matlab -> caffe -> numpy -> torch -> pytorch), the PyTorch one was most pleasant and now significantly longest lasting. It hit a jackpot of the time in the
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Cool Algorithm Trick for AI IoT and Digital Transformation
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Cool Algorithm Trick ✨@InterestingSTEM #AI #IoT #5G #DigitalTransformation #AI #IoT #CES2026
— Harold Sinnott #MWC26 (@HaroldSinnott) 6 novembre 2025
pic.twitter.com/BcUuevLP9FCool Algorithm Trick @InterestingSTEM #AI #IoT #5G #DigitalTransformation #AI #IoT #CES2026
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Start Your Next Legendary Streak with PyTorch
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maybe you gotta start your next legendary streak… on @PyTorch
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PyTorch Creator Steps Down from Meta After Eleven Years
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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
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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