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👀 What happens when AI goes open source?
— NVIDIA AI (@NVIDIAAI) 21 octobre 2025
NVIDIA leaders share how Nemotron, our family of open models, is changing how the world builds, customizes, and trusts AI.
🎧 Listen now: https://t.co/hfwD2tpwCA pic.twitter.com/rc03h8gmhH
What happens when AI goes open source? NVIDIA leaders share how Nemotron, our family of open models, is changing how the world builds, customizes, and trusts AI. Listen now: https://
nvda.ws/4nj5a86
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TLDR: surprised that it works, skeptical whether this will replace BPE-style tokenizers, delighted about this refreshing approach
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We have repro builds on Android, and we do as much as we can on iOS. For any app to be fully reproducible on iOS will require that Apple make some changes (please pressure them to do so).
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If we are talking about the model itself and not the app, these are open-weight PyTorch models. So unless there’s a backdoor in Hugging Face or the PyTorch runtime, there’s really no way for them to be malicious afaik.
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Link to the paper: https://
github.com/deepseek-ai/De
epSeek-OCR/blob/main/DeepSeek_OCR_paper.pdf
… My "Understanding Multimodal LLMs" article with more info on how images are fed to LLMs, how cross-attention works, etc: https://
magazine.sebastianraschka.com/p/understandin
g-multimodal-llms?utm_source=publication-search
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A unified backend framework to build and scale AI Agents!
— Sumanth (@Sumanth_077) 21 octobre 2025
Motia is a backend framework that brings together agents, APIs, background jobs, streams, and workflows into a single core primitive.
Everything is event driven and observable.
It’s 100% Open Source. pic.twitter.com/InYzshW8ZE
A unified backend framework to build and scale AI Agents! Motia is a backend framework that brings together agents, APIs, background jobs, streams, and workflows into a single core primitive. Everything is event driven and observable. It’s 100% Open Source.
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Hi!Personally, I’m not a fan of vibes-based trust. First VERIFY, then trust, is my motto. Which is why Signal is open source. We want everyone to be able to inspect our code, and our encryption protocol, and see for themselves the lengths we go to to protect your comms and
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Article Explainer An AI document analysis tool that breaks down complex technical articles using LangGraph's Swarm Architecture. The system uses multiple agents to provide interactive explanations and insights through natural language queries. Check it out on GitHub
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What could be a better day to touch 20K stars for Crawlee JavaScript on Github than Diwali. Happy Diwali everyone!!
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Top AI Papers of The Week (October 13-19): – Kimi-Dev
– Elastic-Cache
– Hybrid Reinforcement
– Cell2Sentence-Scale 27B
– Holistic Agent Leaderboard
– Dynamic Layer Routing in LLMs
– The Art of Scaling RL Compute for LLMs Read on for more: