Image created with Ideogram 3.0. Image prompt: Lower-East-Side street-corner photograph reminiscent of a late-80s album cover: weathered red-brick tenement with exterior fire-escapes, canvas awning shading racks of vintage clothes; above the awning, a hand-painted board reads ‘Chips SPORTSWEAR’; a hanging blade sign in cursive script reads ‘Chips Boutique’; open boxes of silicon chips sparkle under a desk lamp in the display case; warm golden-hour light, subtle 35mm film grain, muted yet punchy color palette, gritty NYC vibe.
Tool-using LLMs can learn to reason—without reasoning traces. 🔥 We present Nemotron-Research-Tool-N1, a family of tool-using reasoning LLMs trained entirely via rule-based reinforcement learning—no reasoning supervision, no distillation. 📄 Paper: https://x.com/ShaokunZhang1/status/1922105694167433501
NVIDIA offers two blueprints for synthetic data generation: ⦿ Isaac GR00T-Mimic: Uses a physics engine to amplify human motion data in simulation. ⦿ GR00T-Dreams (announced yesterday): Fine-tunes a video generation AI model to create new motion videos from a single image. https://x.com/TheHumanoidHub/status/1924538121687073167
Jensen just announced NVIDIA’s Isaac GR00T N1.5 and GR00T-Dreams blueprint at COMPUTEX 2025: ⦿ Isaac GR00T N1.5 is the first update to NVIDIA’s open, generalized, fully customizable foundation model for humanoid reasoning and skills. ⦿ “Human demonstrations aren’t scalable — https://x.com/TheHumanoidHub/status/1924332201862414495
JUST IN🚨: Nvidia open sourced Physical AI models reasoning models that understand physical common sense and generate appropriate embodied decisions 👀 https://x.com/reach_vb/status/1924525937443365193
NVIDIA released new vision reasoning model for robotics: Cosmos-Reason1-7B 🤖 > first reasoning model for robotics 😱 > based on Qwen 2.5-VL-7B, use with @huggingface transformers or vLLM 🤗 > comes with SFT & alignment dataset and a new benchmark 👏 https://x.com/mervenoyann/status/1924817927561183498
2025 State of AI Infrastructure Report | Google Cloud https://cloud.google.com/resources/content/state-of-ai-infrastructure
NVIDIA has published a paper on DREAMGEN – a powerful 4-step pipeline for generating synthetic data for humanoids that enables task and environment generalization. – Step 1: Fine-tune a video generation model using a small number of human teleoperation videos – Step 2: Prompt https://x.com/TheHumanoidHub/status/1925255036965408887
🚀Introducing Tencent Hunyuan Game, the first industrial-grade AIGC engine for game production. Powered by Hunyuan AI, Hunyuan Game turns ideas into production-ready assets 10X FASTER. ✨ What You Get: 🔹 AI Art Pipeline Streamline inspiration → design → triview in a single, https://x.com/TencentHunyuan/status/1924713242150273424
Really cool how DeepSeek is now the benchmark for Nvidia”” / X https://x.com/teortaxesTex/status/1924588309688267139
Exclusive | OpenAI Texas Data Center Clinches $11.6 Billion of Funding – WSJ https://www.wsj.com/tech/ai/openai-data-center-funding-microsoft-75e879b6
An Interview with Nvidia CEO Jensen Huang About Chip Controls, AI Factories, and Enterprise Pragmatism – Stratechery by Ben Thompson https://stratechery.com/2025/an-interview-with-nvidia-ceo-jensen-huang-about-chip-controls-ai-factories-and-enterprise-pragmatism/
🔥The SIWA Public Testnet is now live! SIWA is our public testnet for decentralized AI development and the first real step toward an AI-driven future that’s open, equitable, and accessible to all. Here’s what that means 🧵👇 https://x.com/SaharaLabsAI/status/1924465527503937646
4/ Cloud-Based Operations Mariner operates on virtual machines in the cloud, allowing background task execution. 📸Upload large batches of photos to cloud storage while continuing other work. 📄 Run data analysis scripts without occupying local resources.”” / X https://x.com/AtomSilverman/status/1924960905860915417
Announcing the llm-d community! | llm-d https://llm-d.ai/blog/llm-d-announce
Databricks and Neon | Databricks Blog https://www.databricks.com/blog/databricks-neon
The @SaharaLabsAI SIWA Testnet is live 🎉 AI ownership, provenance & contributor rewards—on-chain. We’re proud to power the scalable compute behind their dev platform, so anyone, anywhere can build & run real AI. Let’s build an open future for AI 🎉”” / X https://x.com/togethercompute/status/1924514334044213572
We’re heading to @DellTech World! Meet the Together AI team at Booth #150 in Las Vegas, May 19–22. We’ll be showcasing how the world’s top AI teams run faster and more efficiently with Together AI from training to inference. ⚡️ Live Demos at our booth include: • GPU Cluster https://x.com/togethercompute/status/1923024642983199067
45 Gbit/s across Europe and 25 Gbit/s intercontinental, challenging centralized training. Prime Intellect released PCCL, a fault-tolerant communication library optimized for decentralized training over unstable public internet. → PCCL (Prime Collective Communications Library) https://x.com/rohanpaul_ai/status/1925065309494427795
I say this a lot, but the narrative that AI use is going to collapse due to data limits or costs or environmental factors or regulation or a “”hype bubble”” popping or whatever is not a useful position for critics. Development may slow (it hasn’t yet), but AI use isn’t going away.”” / X https://x.com/emollick/status/1924854460720775431
Olmo project has thus far been mostly about data and lately RLVR. But hilariously, OLMoE is ahead of Meta on architecture too. Recommended reading In a more just world, Zuck just donates his compute to DeepSeek or, barring that, to Allen AI and @PrimeIntellect https://x.com/teortaxesTex/status/1924861645865586800
Build Semi-Custom AI Infrastructure | NVIDIA NVLink Fusion https://www.nvidia.com/en-us/data-center/nvlink-fusion/
Hard to overstate the importance of Transformers (and datasets, tokenizers, etc) to the open-source and overall AI ecosystem. Can’t count the number of times I’ve personally used Transformers as a source-of-truth. Looking forward to more and deeper integrations with MLX + https://x.com/awnihannun/status/1923065749234647214
[2505.09343] Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures https://arxiv.org/abs/2505.09343
DeepSeek presents: Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures Elaborates on hardware architecture and model design in achieving cost-efficient large-scale training and inference https://x.com/arankomatsuzaki/status/1922844556430581761
Insights into DeepSeek-V3 Scaling Challenges and Reflections on Hardware for AI Architectures https://x.com/_akhaliq/status/1923001697498006016
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures Overview: DeepSeek-V3 which is an LLM trained on 2,048 H800 GPUs, utilizes hardware-aware co-design incorporating Multi-head Latent Attention, MoE, FP8 training, and a Multi-Plane https://x.com/TheAITimeline/status/1924232113101890003
Designing models and hardware together — is it a new shift for the best cost-efficient models? This idea is used in DeepSeek-V3 that is trained on just 2,048 powerful NVIDIA H800 GPUs. A new research from @deepseek_ai clarifies how DeepSeek-V3 works using its key innovations: https://x.com/TheTuringPost/status/1924631209050833205
NVIDIA Unveils NVLink Fusion for Industry to Build Semi-Custom AI Infrastructure With NVIDIA Partner Ecosystem | NVIDIA Newsroom https://nvidianews.nvidia.com/news/nvidia-nvlink-fusion-semi-custom-ai-infrastructure-partner-ecosystem
Palo Alto-based K-Scale Labs is building open-source humanoid robot hardware and software for developers. The K-Bot humanoid stands 4′7″, weighs 77 lb, and integrates with their open-source software and ML stack. Price: $8,999. Pre-order for $100 -deliveries begin in July 2025 https://x.com/TheHumanoidHub/status/1924143417103409327
Jensen: The humanoid robot is likely the only robot that will work – because technology needs scale, and most robots we’ve had so far are too low volume to drive the flywheel of technology improvements. The humanoid robot is likely to be the next multi-trillion-dollar industry. https://x.com/TheHumanoidHub/status/1924341417662672972
