Nemotron-3-Nano-30B-A3B is now on Replicate http://replicate.com/nvidia/nemotron-3-nano-30b-a3b
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GENERATIVE AI
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Nemotron-3-Nano-30B-A3B Now Available on Replicate
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China’s Open-Source AI Strategy: A Distinct Advantage
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My latest piece on @FT about the Chinese LLM open-source advantage. Contrasted with the secretive development of LLMs in the US competing in a winner-takes-all battle to reach AGI, Chinese models offer a distinct pathway for progress in AI when they are forced to play catch-up. Through open technologies, the strategy might lead to a broader global reach. Financial Times (@FT) China’s open-source AI is a national advantage on.ft.com/48ZOaiY | opinion — https://nitter.net/FT/status/1998204161498771855#m
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Generative AI Tech Stack Framework for Autonomous Agents
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The Generative AI ecosystem is evolving into a full tech stack — powering autonomous AI agents.
From infrastructure and LLMs to RAG pipelines, agent behaviors and orchestration layers, this framework shows the 6 layers driving next-gen AI systems. Credit: @goyalshalini #AI -
Specialized vs. Generalist AI Models: Why Specialization Wins
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Here's the thing about specialized AI. It's faster. It's better. It doesn't try to be good at everything. While everyone's building wrappers on general models, they built something that actually works for the one job it was designed to do. Specialist beats generalist when the
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Mino: Programmatic Access to Any Website
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TinyFish has launched Mino, which gives you programmatic access to any website through browser automation and AI-powered navigation.
— 🚨 AI News | TestingCatalog (@testingcatalog) 15 décembre 2025
Mino takes URLs and a goal in simple language, completes the job and returns results in JSON.
The lack of API is not a blocker anymore 🤖 https://t.co/Y9rivJf9iu pic.twitter.com/lMirQYTWpLTinyFish has launched Mino, which gives you programmatic access to any website through browser automation and AI-powered navigation. Mino takes URLs and a goal in simple language, completes the job and returns results in JSON. The lack of API is not a blocker anymore
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MIT’s DisCIPL: Steering Smaller LMs for Complex Problem-Solving
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LMs can struggle w/open-ended tasks that have constraints, such as advanced puzzles & math proofs. MIT’s "DisCIPL" uses an LLM to steer smaller LMs to collaborate on these prompts. It achieves accuracy & efficiency comparable to much leading models: https://
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Open-Source Dominates: ResembleAI Clones Voices Instantly, Outperforming ElevenLabs
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ElevenLabs has officially LOST to Open-Source
— AI Breakfast (@AiBreakfast) 15 décembre 2025
ResembleAI allows you to clone ANY voice without verification using on 5-10 seconds of audio, and dominates on paralinguistic tags for human-like expressions.
Most "fast" text-to-speech models sound robotic. Most "quality" TTS… pic.twitter.com/G71VC0vawIElevenLabs has officially LOST to Open-Source ResembleAI allows you to clone ANY voice without verification using on 5-10 seconds of audio, and dominates on paralinguistic tags for human-like expressions. Most "fast" text-to-speech models sound robotic. Most "quality" TTS
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Mixture-of-Agents Boosts Large Language Model Performance
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Mixture-of-Agents Enhances Large Language Model Capabilities Wang et al.: https://
arxiv.org/abs/2406.04692 #ArtificialIntelligence #DeepLearning #MachineLearning -
Meta Research Challenges Chain-of-Thought Reasoning Approach
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NEW Research from Meta Superintelligence Labs and collaborators. The default approach to improving LLM reasoning today remains extending chain-of-thought sequences. Longer reasoning traces aren't always better. Longer traces conflate reasoning depth with sequence length and
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Meta Engineer Joins Anthropic: Journey Through Tech Leadership
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Thanks for having me on Ryan! I had a blast talking about my journey from startups, to VC, to building product at Facebook and Instagram, to being responsible for code quality for all of Meta’s codebases, to joining Anthropic.
— Boris Cherny (@bcherny) 15 décembre 2025
This sequence of events is the reason Claude Code… https://t.co/XOxVH0rOWxThanks for having me on Ryan! I had a blast talking about my journey from startups, to VC, to building product at Facebook and Instagram, to being responsible for code quality for all of Meta’s codebases, to joining Anthropic. This sequence of events is the reason Claude Code