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Nvidia Shows Off AI Superchips, Humanoid Robots, and Self-Driving Tech
Good morning. It’s Wednesday, March 19th.
On this day in tech history: in 1997, Toshiba released the first consumer DVD players in the United States.
In today’s email:
NVIDIA’s GTC 2025 Conference
5 New AI Tools
Latest AI Research Papers
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Today’s trending AI news stories
Nvidia Shows Off AI Superchips, Humanoid Robots, and Self-Driving Tech
At GTC 2025, NVIDIA CEO Jensen Huang made several AI and robotics reveals:
Headlining the drop is Blackwell Ultra, a silicon sledgehammer that delivers 1.5 times the speed of its predecessor. Paired with a Grace CPU, it powers the GB300 superchip, a dual-GPU system processing 1,000 tokens per second on DeepSeek’s R1 model—ten times faster than Hopper. Nvidia also previewed its next-gen chips, Vera Rubin and Feynman, set for 2026 and 2028.
cuOpt, Nvidia’s AI-powered optimization engine, is now open-source, making real-time decision-making accessible to developers. GPU-accelerated and 20 times faster than traditional methods, it integrates with Python and Nvidia’s RAPIDS framework, allowing businesses to optimize logistics and resource allocation without enterprise costs.
GR00T N1 makes humanoids less robotic: Isaac GR00T N1 pushes humanoid robotics forward, combining reflex-driven actions with deeper reasoning. With GR00T Blueprint generating synthetic training data and Newton refining movement physics, companies like 1X Technologies, Boston Dynamics, and Disney are already integrating it into their robots.
Personal AI supercomputers hit the desktop: Nvidia is bringing raw AI compute within arm’s reach. DGX Spark, a compact inferencing box, runs on the GB10 Grace Blackwell Superchip, while the larger DGX Station packs the GB300 Blackwell Ultra Superchip with 20 petaflops of performance. Asus, Dell, and Lenovo will launch versions this year.
Halos sets the bar for AV safety: Nvidia’s Halos framework stress-tests self-driving AI through simulation and real-world validation, with GM already integrating it into future vehicles. The AI Systems Inspection Lab—the first ANSI-accredited AV safety program—will oversee compliance.
AI watermarking and open-source data fuel transparency: Nvidia is embedding Google DeepMind’s SynthID watermarking into Cosmos-generated videos. It also released a 15-terabyte open-source dataset with 320,000 robotic trajectories and AV data from 1,000 cities, accelerating AI safety research.
Watch Jensen Huang's Full NVIDIA keynote here.

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Mistral’s open model outsmarts GPT-4o mini with fewer parameters
Perplexity’s latest ad roasts Google’s ‘glue on pizza’ AI fail
OpenAI to start testing ChatGPT connectors for Google Drive and Slack
Mac Studio with M3 Ultra runs massive DeepSeek R1 AI model locally, no GPU cluster required
Smart glasses will be future of computing, Meta executives say
Nvidia expected to reveal details of latest AI chip at conference
Tencent expands AI push with open-source 3D generation tools
Nearly half of U.S. adults believe LLMs are smarter than they are
EXAONE 32B beats DeepSeek R1 671B, smaller model tops OpenAI o1 mini
Anthropic teases Claude 3.7 Sonnet MAX with "Maximum Intelligence" upgrade
Adobe's new AI agents can make personal websites for your customers
Meta announced that its Llama open-source models officially reached 1B downloads this month
AI coding startup Cognition AI behind Devin hits $4 billion valuation
Unitree G1 humanoid robot is the world’s first sideflipping robot

4 new AI-powered tools from around the web

arXiv is a free online library where researchers share pre-publication papers.
📄 DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation
📄 SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion


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