Comms, Open Models, VIPs @NVIDIA • Creator of This Week in Esports/Gaming • Views are my own

San Francisco, CA
Mark Cai (Coolmark) retweeted
Frontier AI safety will require deep systems engineering and formal verification. We’re sharing our learnings openly for all to learn from nvidia.github.io/OpenShell-R…
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and then there are the run clubs too
moved to SF and now i have to ask whether “partner” means romantic, business, or venture
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¡¡ Excited for more @nvidia 🤝🤗 @huggingface !!
Exciting day for NVIDIA and @huggingface. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI. Thank you @ClementDelangue for coming to me. NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗 blogs.nvidia.com/blog/nvidia…
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Mark Cai (Coolmark) retweeted
NVIDIA's Bryan Catanzaro, @ctnzr, just joined Arena Conversations with @petergostev to unpack what actually goes into building the Nemotron model family, and why @NVIDIAAI is shipping frontier open models faster than ever. Link below.
A new episode of Arena Conversations is dropping tomorrow at 9 AM ET / 6 AM PT: Featuring @ctnzr, the VP of Applied Deep Learning Research at @NVIDIAAI! With @petergostev, they unpack the role of specialized teacher models in building stronger capabilities, the growing inference challenge in post-training, the importance of open source models, and what it all means for NVIDIA and how they build Nemotron. Stay tuned tomorrow, August 24th.
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Can’t wait to see what you do with it!! Local AI and open source 💯
my second dgx spark just landed, with connectx cable and all. and here's the part that still doesn't feel real: @NVIDIAAI sent both. i'm a solo builder in bangkok who started on a used rtx 3090, posting into the void about local ai and ownership for a year. i didn't have a lab, a team, or a budget. i just refused to stop showing up. and somewhere along the way, nvidia noticed. that's the lesson i keep learning in public man! they listen. just keep building, keep posting, keep putting the real thing out there, and the right people eventually see it. thank you @nvidia and goat @Coolmark482 for backing independent builders, this is the hardware that lets one person compete with a giant. two sparks down anon. you already know where this is going.
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“If we work hard at it, AI will make the world safer, not less safe, just as most major technologies have.” That’s exactly it, Clem!
It's not time to slow down but to accelerate! The recent AI-powered cyberattacks have everyone talking about the risks of AI. We should. But let's not lose sight of the bigger picture! If we work hard at it, AI will make the world safer, not less safe, just as most major technologies have. We've already seen a glimpse of that: we defended ourselves with AI (more specifically an open model). The same systems that helped stop an AI-powered cyberattack can now help defend against millions of cyberattacks every day, while helping us identify and fix vulnerabilities before attackers exploit them. To get there, we need three things in my opinion: - Increase transparency with mandatory trace sharing and incident disclosure for agent cyber-attacks - Keep AI-powered cyberattacks illegal, with meaningful penalties to disincentivize them - Equip defenders with the best AI, especially open models, to reduce the asymmetry of capabilities between attackers and defenders If we get those three things right, AI won't just create new cybersecurity challenges, it will make cybersecurity fundamentally and meaningfully stronger. And that's before considering AI's impact on science, healthcare, education, productivity, and much more. It's not time to slow down but to accelerate!
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Mark Cai (Coolmark) retweeted
@huggingface CEO just said a secret proprietary model attacked it, and an open model defended it. @nvidia is not shipping Nemotron as charity. @ClementDelangue already called it the king of American open source AI. @JensenHuang explains the logic from the inside. Any usable model, open or closed, wherever it’s from, increases total AI usage. More usage means more Nvidia demand regardless of who wins the model layer. He frames open models as the sovereignty option and closed models as the convenience option, not as rivals. The real risk to price in is regulatory, not technical. @DavidSacks argues the push to ban open models isn’t about safety. It’s Anthropic and OpenAI angling for a government-protected duopoly. Chinese open-weight labs already fetch $50-70B in private valuations. If a security incident becomes the argument for keeping US open models alive, the winner is whoever owns that ecosystem. Not whoever wins the ban.
We got attacked by secret unreleased proprietary models and defended ourselves with an open model, more precisely the @nvidia quantized version of GLM 5.2 coming from @Zai_org. Banning any open model would hurt first cyber security defenders, startups, small companies, researchers and everyone who's not a frontier lab and need on-prem affordable controlable models to compete and protect themselves. Let's not do that!
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SING IT WITH ME OPEN RESEARCH OPEN MODELS OPEN SOURCE AI
AI security advances when the industry builds in the open, together. We're introducing the Open Secure AI Alliance with industry leaders to develop new techniques and tools to safeguard software and agents. By sharing models, tooling and research in the open, we can broaden the community of defenders. Learn more about the founding members’ contributions: nvda.ws/4pD8Fc5
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Denny’s knows what’s up
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Jensen has joined X and he’s supporting open models in his first post - let’s go!!
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-W…
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Mark Cai (Coolmark) retweeted
NVIDIA is all in as you can see, they release amazing utilities and optimizations around AI, other players are all too slow at the moment.
WOW, an important release from NVIDIA 🔥 NVIDIA Model Optimizer 0.45.0 is out — big upgrades for everyone, but especially exciting for MoE models with NVFP4 quantization! Key benefits for MoE quantization: ✨ New “active experts” mode in AutoQuantize — now understands only some experts run at a time, for smarter mixed-precision choices ✨ Better quantization for DeepSeek-style models + easy exact MXFP4 → NVFP4 conversion for routed experts ✨ New W4A16 NVFP4 weight-only mode (no calibration needed) — huge memory savings while keeping good quality ✨ Improved calibration & KV-cache options tailored for MoE models Should result in higher-quality NVFP4 MoE models, lower memory use, and better throughput on Blackwell with almost no accuracy loss! This might fix the issues I'm having with Qwen3.6-35b NVFP4 if they are generous enough to update it. Full notes: github.com/NVIDIA/Model-Opti…
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Nemotron 3 Ultra is our best model to date. >> 550B, 55B active >> NVFP4 on Blackwell & Hopper. >> Latent MoE Go give it a try and run it with your agents!
Introducing NVIDIA Nemotron 3 Ultra. A frontier smart open model built for long-running agents that need to plan, reason, use tools and keep working across complex coding, research and enterprise workflows. Up to 5x faster inference and up to 30% lower cost for agentic tasks. Learn more: nvda.ws/4x9nGps
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Mark Cai (Coolmark) retweeted
Nemotron 3 Ultra. Open Weights. Open Recipes. Open Data. 06/04/2026.
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NVIDIA Open Models 🤝 OpenMDW Great to see our Nemotron, Cosmos, Ising, and Isaac GR00T teams adopting this open license framework for AI model distributions. Here's to more building more in the open!
We're adopting the Linux Foundation’s OpenMDW framework across our open model families. This helps make open model licensing simpler and more consistent at scale. A single legal framework across models, code, documentation, and data helps reduce friction for developers and enterprises building with open source.
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Amazing work by the Nemotron team. Go try out Nemotron 3 Super today!
Announcing NVIDIA Nemotron 3 Super! 💚120B-12A Hybrid SSM Latent MoE, designed for Blackwell 💚36 on AAIndex v4 💚up to 2.2X faster than GPT-OSS-120B in FP4 💚Open data, open recipe, open weights Models, Tech report, etc. here: research.nvidia.com/labs/nem… And yes, Ultra is coming!
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