3️⃣ days left before rates rise! Registration for #PyTorchCon Europe increases €100 after 20 March. 🐦 Join us in Paris, 7-8 April, where you'll find friends with shared interest at BoFs: https://t.co/CZVIQSlw8d 🎟 Register: https://t.co/9NiZQbvipa https://t.co/FopKhZpo2l

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what the hell, sure https://t.co/boBtHjIzeK

what the hell, sure https://t.co/boBtHjIzeK

Falcon 9 lifts off from pad 4E in California and delivers 25 @Starlink satellites to low-Earth orbit https://t.co/xPvMJNSqmy

Latest Grok 4.20. Not incremental. Have you tried it? Multi-agent debate. Less guessing. More reasoning. Real-time X data. Zero lag brain. Reliability locked in. @Grok https://t.co/pGuUltN9pN

REPO MAN (1984) https://t.co/TlndQNlPHp

REPO MAN (1984) https://t.co/TlndQNlPHp

Every single one of the 103 companies Jensen called AI Native today. https://t.co/cjna7Oc3AN

Every single one of the 103 companies Jensen called AI Native today. https://t.co/cjna7Oc3AN

Demis Hassabis has had an unusual path. From child chess prodigy to AI pioneer and Nobel Prize winner, his journey mirrors the rise of modern artificial intelligence itself. Sebastian Mallaby’s new book traces how one researcher’s vision helped push AI from academic curiosity to a force reshaping science and industry. It raises a bigger question too. How much can one person really shape the direction of a technology this powerful? https://t.co/6Dw8z47C3K @scmallaby @demishassabis @GoogleDeepMind

NEWS: @SpaceX has officially crossed 10,000 active Starlink satellites in orbit tonight! Over two-thirds (66%) of all satellites currently in orbit are now a SpaceX satellite. Falcon 9 lifted off from Vandenberg in California moments ago with 29 Starlink Satellites onboard. Total Starlink satellites now in orbit: 10,019

https://t.co/ASOOnrXyUy

I think most people who are not playing with these technologies are way underestimating the speed of advancement in "creative" AIs & how much of an impact that is going to have on many jobs, soon. AI language & art models are growing at 10x a year. Beyond Moore's Law pacing. 1/ https://t.co/r0YnROh58z

everyone is writing code but no one is making money https://t.co/PTQh6kZDCT

you asked for it, you get it @SherryYanJiang and i are finally bringing cafe @cursor_ai singapore aka cursor kopitiam to town @nickwm and @fr4nnyp4ck will be flying in to drink some coffee and hang out spend the evening hacking or just catching up with other cursor-pilled folks registration linked below:

@abrakjamson https://t.co/Def9FH8dh1

Very proud of this amicus brief filed yesterday in the @AnthropicAI case against the Department of War from Catholic moral theologians and ethicists. The very notion of what it means to have a just war is at stake in how we respond to these matters. https://t.co/Fpm0Ercx40 https://t.co/NvbIoJA8xS

NVIDIA has released Nemotron 3 VoiceChat! A ~12B parameter Speech to Speech model that leads our open weights Conversational Dynamics vs. Speech Reasoning pareto frontier Understanding Speech to Speech model performance is multidimensional - two key and distinct dimensions are raw intelligence and conversational dynamics: how well a model handles the natural rhythms of human conversation such as turn-taking, interruptions. Amongst full duplex open weights models, NVIDIA’s new Nemotron 3 VoiceChat, V1, leads in balancing these dimensions, setting itself apart from other models on the Conversational Dynamics vs. Speech Reasoning pareto frontier. Key benchmarking results: ➤ Conversational Dynamics (Full Duplex Bench): Nemotron 3 VoiceChat (V1) scores 77.8%, second among open weights speech to speech models behind NVIDIA's own PersonaPlex (91.0%) and ahead of FLM-Audio (62.0%), Moshi (61.0%) and Freeze-Omni (58.7%) ➤ Speech Reasoning (Big Bench Audio): Nemotron 3 VoiceChat (V1) scores 29.2%, second among open weights speech to speech models behind Freeze-Omni (33.9%) and well ahead of PersonaPlex (12.6%), FLM-Audio (5.3%) and Moshi (1.7%) ➤ Pareto leader: While Freeze-Omni leads on speech reasoning and PersonaPlex leads on conversational dynamics, Nemotron 3 VoiceChat (V1) is the only open weights model that performs amongst the top 3 on both - making it the clear leader on the pareto frontier between these two critical dimensions ➤ Larger than other open weights models but still relatively small compared to LLMs: Nemotron 3 VoiceChat (V1) has 12B parameters, making it one of the larger open weights speech to speech models, while NVIDIA's PersonaPlex is ~7B. While larger compared to other larger open weights speech to speech models the model still is relatively small compared to leading LLMs ➤ Context vs. proprietary models: While this release materially advances open weights performance, open weights speech to speech models still significantly underperform leading proprietary offerings. For comparison, proprietary models on our Big Bench Audio benchmark score substantially higher - Step-Audio R1.1 at 96%, Grok Voice Agent at 92%, Gemini 2.5 Flash (Thinking) at 92%, and Nova 2.0 Sonic at 87%. The gap between open weights and proprietary remains large in this modality. As the capability and adoption of Speech to Speech models increases, we expect to expand our set of benchmarks to include elements such as tool-calling and multi-turn instruction following. See more details below ⬇️

Jensen today announced Alpamayo 1.5 at #NVIDIAGTC! #Alpamayo 1.5 is a major update to Alpamayo 1—@nvidia’s open 10B-parameter chain-of-thought reasoning VLA model, first introduced at #CES. Built on the #Cosmos-Reason2 VLM backbone and post-trained with RL, it adds support for navigation guidance, flexible multi-camera setups, configurable camera parameters, and user question answering. The result is an interactive, steerable reasoning engine for the AV community. We’re also releasing post-training scripts to help researchers and developers adapt the model. Additionally, we’ve significantly expanded the Alpamayo open platform across data and simulation, including releasing highly requested reasoning labels for the PhysicalAI Autonomous Vehicles dataset (https://t.co/fD9eUcndya), as well as our chain-of-causation auto-labeling pipeline. 🔎 Learn more about Alpamayo 1.5 and the latest extensions to the Alpamayo open platform: https://t.co/P0nuqkwBab (please note that most of the links will become active in the next few days.) Happy building—and stay tuned for more in the coming months! @NVIDIADRIVE @NVIDIAAI

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NVIDIA officially announced its expansion into space computing, introducing a suite of accelerated platforms designed to power orbital data centers (ODCs) and autonomous spacecraft. The lineup features the new Space-1 Vera Rubin Module, which delivers 25x more AI compute for space-based inferencing compared to previous models, alongside the energy-efficient IGX Thor and Jetson Orin edge computing modules. Engineered to survive the strict size, weight, and power (SWaP) constraints of space, these platforms allow industry partners like Axiom Space, Planet Labs, and Starcloud to process massive amounts of geospatial and sensor data directly in orbit, rather than beaming raw data back to Earth.

NEWS: SoundHound AI Unveils World’s First Multimodal Agentic+ AI Completely on the Edge at NVIDIA GTC 2026 🤖 🔗 https://t.co/3jGB3JKZMC https://t.co/iaEewsBVcz

🛠️ Claude Code "opusplan" 말 그대로 하이브리드 모델.. 공식임! Claude Code에는 opusplan 모델을 선택할 수 있어요. > /model opusplan 하이브리드 모델 alias인데, 작업 단계에 따라 자동으로 모델을 전환해요. 복잡한 추론을 위한 플랜 모드에서는 Opus를 실행 단계에서는 Sonnet으로 자동 전환됩니다! Opus로 계획하고 구현까지 하는 것도 물론 가능해요. 하지만 이미 탄탄한 계획이 있다면, 실행은 Sonnet으로도 충분하고 더 저렴할 수 있어요. 각 작업에 맞는 모델을 쓰는 것 = 효율 🚀 플래닝과 실행은 요구되는 인지 부하가 달라요. Opus의 깊은 추론 능력은 계획 수립 단계에서 가장 빛나고, 일단 탄탄한 계획이 세워진 이후의 실행은 Sonnet으로 충분히 커버될 수 있어요. 언제 쓰면 좋냐구요? - 복잡한 기능 설계같이 아키텍처 결정이 중요한 작업 - 리팩토링 계획같은 영향 범위 분석이 필요한 경우 - Opus 풀파워 사용 대비 비용 절감이 필요할 때 이거 이제 많이 활용하실 듯!!!

NVIDIA Vera Rubin achieves 40 million times more compute in 10 years: 288 GB HBM4, 22 TB/s bandwidth, 50 PFLOPs of AI horsepower. https://t.co/Nkiu06RaB9

AI really can help education: Randomized controlled experiment on high school students found a GPT-4o powered tutor that personalized problems for students raised final test scores by .15 SD, "equivalent to as much as six to nine months of additional schooling by some estimates" https://t.co/QAUHCXRzAn

Sakana AIの技術を武器に、顧客の現場に飛び込んで直接ビジネス課題を解決する「Forward Deployed Engineer (FDE)」を募集します🐟 https://t.co/I4LQlKPr5z 単なるAI導入ではなく、RAGやAIエージェントなどのコンテクストエンジニアリングを駆使し、顧客の泥臭い課題をAIで解ける形に構造化する ポジションです。Applied Teamの最前線で、顧客の頼れる相談役となり、AIの社会実装を加速させてくれる方を探しています！ 技術力とビジネス解決力の両方に自信がある方、ぜひご応募ください。

Sakana AIの技術を武器に、顧客の現場に飛び込んで直接ビジネス課題を解決する「Forward Deployed Engineer (FDE)」を募集します🐟 https://t.co/I4LQlKPr5z 単なるAI導入ではなく、RAGやAIエージェントなどのコンテクストエンジニアリングを駆使し、顧客の泥臭い課題をAIで解ける形に構造化する ポジションです。Applied Teamの最前線で、顧客の頼れる相談役となり、AIの社会実装を加速させてくれる方を探しています！ 技術力とビジネス解決力の両方に自信がある方、ぜひご応募ください。

Look who we spotted. Huge moment at #NVIDIAGTC as @MichaelDell and Jensen Huang stopped by our booth where Jensen signed the next generation, 100% liquid cooled PowerEdge XE9812 Vera Rubin NVL72 server. https://t.co/3423zH0pSx

https://t.co/dxjyCCX9DQ

https://t.co/dxjyCCX9DQ

https://t.co/EEWgdDipOE