Image created with OpenAI GPT-Image-1. Image prompt: over-the-top 1990s pro-wrestling promo poster, green-glow GPU throne featuring “NV Knockout” hoisting a triple-fan graphics card like a war axe; matrix code rain, grainy print texture, vivid neon titles
Train and deploy robot skills in the cloud… with just one click. Gr00t‑n1.5 is now live on Phosphobot, making training and inference simpler than ever. Example prompt: “”Grab food and place into bowl.”” Tips for better results ✅ Record longer episodes (~30–40s) ✅ Target https://x.com/IlirAliu_/status/1947721603082817884
NVIDIA’s Canary-Qwen-2.5B 1st place on the @HuggingFace leaderboard for automatic speech recognition – lowest word error rate (WER) ever recorded on the Hugging Face OpenASR leaderboard: 5.63%. – its the first speech model built on top of an existing LLM. – At its core, it https://x.com/rohanpaul_ai/status/1946823138932863210
so many open LLMs and image LoRAs dropped past week, here’s some picks for you 🫡 LLMs > ByteDance released a bunch of translation models called Seed-X-RM (7B) > NVIDIA released reasoning models of which 32B surpassing the giant Qwen3-235B with cc-by-4.0 license 👏 > LG released https://x.com/mervenoyann/status/1948018642462933149
missed this, @NVIDIAAIDev silently dropped Open Reasoning Nemotron models (1.5-32B), SoTA on LiveCodeBench, CC-BY 4.0 licensed 🔥 > 32B competing with Qwen3 235B and DeepSeek R1 > Available across 1.5B, 7B, 14B and 32B size > Supports upto 64K output tokens > Utilises GenSelect https://x.com/reach_vb/status/1947331118983696907
RT @reach_vb: Lets GOOO! @NVIDIAAIDev just dropped Canary Qwen 2.5 – SoTA on Open ASR Leaderboard, CC-BY licensed 🔥 > Works in both ASR an…”” / X https://x.com/reach_vb/status/1946087224346313175
🎉 Big news! We’ve raised $110M from new and existing investors, including @nvidia & @Snowflake This funding reinforces our position at the forefront of AI innovation, with exciting releases like Reka Vision, Reka Research & Reka Flash 3.1 Read more 👇 https://x.com/RekaAILabs/status/1947689320594157668
From the Director of Robotics at NVIDIA. The very rapid (if uneven) advance of LLMs may lead people to expect too much, too soon from robotics.”” / X https://x.com/emollick/status/1946594555375001779
I’m observing a mini Moravec’s paradox within robotics: gymnastics that are difficult for humans are much easier for robots than “”unsexy”” tasks like cooking, cleaning, and assembling. It leads to a cognitive dissonance for people outside the field, “”so, robots can parkour & https://x.com/DrJimFan/status/1948789854151868663
Shengjia is one of the brightest, humblest, and most passionate scientists I know. We went to PhD together for 5 yrs, sitting across the hall at Stanford Gates building. Good old times. I didn’t expect this, but not at all surprised either. Very bullish on MSL!”” / X https://x.com/DrJimFan/status/1948841055916622157
