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del from a lab based in the US or EU doesn’t guarantee that a data center in that region serves the request. At global endpoints, models from OpenAI, Anthropic, Google, xAI, Meta, NVIDIA, Thinking Machines, or Mistral can run anywhere the provider serving the request operates. A data residency review asks where your request was decrypted and where inference ran, so a US team using GPT-5.6, Claude Opus 5, or Gemini 3.6 Flash on a global endpoint can still fail a compliance review. OpenRouter In-R

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thank Bharat Venkitesh for providing technical support throughout this work. We thank Stephen Jones, Brian Pharris, Vinod Grover, Frederic Bastien, Hua Huang and Disha Mehra from Nvidia for various insightful discussions. We thank Zewen Shen for some helpful discussions on evaluation and numerical accuracy. The design builds on ideas from Hazy Research's Look Ma, No Bubbles! and uses ThunderKittens tile primitives. Thanks also to the authors and maintainers of FlashAttention, PyTorch, Transform

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nds over a company worth around $4.6T, up from about $350B when he took the job in 2011 — Apple briefly became the second company ever to touch $5T on July 28, a day after passing Nvidia. Ternus’s first keynote is Sept. 9, covering new iPhone hardware and the redesigned Siri, built on Gemini models. Image source: Instagram The Rundown: Instagram is now making AI personas identify themselves: accounts featuring an AI-generated human must toggle on a disclosure label, or they’ll stop showing up in

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egration in ComfyUI. Follow our installation tutorials for Trellis.2 and Pixal3D. Licensing Trellis.2’s own code and weights are MIT-licensed, but its original pipeline depends on NVIDIA’s nvdiffrast (for mesh rasterization) and nvdiffrec (for Physically Based Rendering), both distributed under the NVIDIA Source Code License which restricts usage to non-commercial research and evaluation. In practice, a studio couldn’t ship assets from the reference pipeline without stepping into a legal gray zo

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ks It won't kill you, or humanity, to get off the AI upgrade treadmill New models arrive so fast, we already have more new tech than it's possible to understand in a career Cisco, Nvidia team up to build fatter, faster pluggable If you thought 1.6 Tbps was fast, just wait, Cisco's USFP targets 12.8 Tbps in a single optical pluggable TOP STORIES Anthropic asks users to stop being mean to Claude; '123456' password linked to Denmark data breach affecting 8.8M people; Microsoft and Anthropic play in

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matters: The duck is cute, but the pitch underneath is that cheap programmable hardware is how developers get into physical AI. Pollen has already sold 10K+ Reachy Minis, and with Nvidia reportedly agreeing to buy Hugging Face for $12.9B, Microduck adds another accessible piece of hardware to its serious robotics push . Image source: Boston Dynamics The Rundown: ICE is preparing to spend up to $2M on Boston Dynamics’ Spot robot dogs, adding the four-legged machines to its enforcement arsenal for

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(including Anthropic) warning that AI-enabled cyberattacks will become “far more widespread and sophisticated” in the coming months, calling for a coordinated cyber defense push. Nvidia is reportedly acquiring open model hub Hugging Face for $12.9B, with open-source interest continuing to surge on Chinese model gains. Google released Gemini Omni 1.1 Flash, an upgraded video model that adds 40-sec scene extensions and 4K upscaling, moving to the top spot on Arena’s text-to-image leaderboard. Thi

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der 16, with platforms facing fines of up to 10% of global revenue for failing to enforce age checks. Orbital data-center startup Starcloud raised $250M at a $2.3B valuation, with Nvidia and Cisco backing its ambitious plan to build AI compute infrastructure in space. Tesla is recalling about 3M vehicles in China over emergency door handles that can become difficult to use after a crash and inadequate driver-attention monitoring. Rowan, Zach, Shubham, Jennifer, and Nate — The Rundown’s editorial

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ks It won't kill you, or humanity, to get off the AI upgrade treadmill New models arrive so fast, we already have more new tech than it's possible to understand in a career Cisco, Nvidia team up to build fatter, faster pluggable If you thought 1.6 Tbps was fast, just wait, Cisco's USFP targets 12.8 Tbps in a single optical pluggable TOP STORIES Anthropic asks users to stop being mean to Claude; '123456' password linked to Denmark data breach affecting 8.8M people; Microsoft and Anthropic play in

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COMPUTE Everybody has been expecting for Cerebras Systems, one of the second-generation of AI hardware startups that has been trying very hard to compete with Nvidia on AI compute for years, to launch its latest systems, dubbed the CS-4, sometime this summer. I pegged the CS-4 announcement at August 2026 when I was contemplating what Cerebras might do with its $1.1 billion funding round back in October 2025, which was before the company went public and when it was not even clear that Cerebras wo

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mands: the ability to see inside a model, adapt it, and retain the intelligence they build with it. This is why we are enthusiastic contributors to the Open Secure AI Alliance and NVIDIA Nemotron Coalition. We are now extending that openness beyond our own models. Mistral’s platform will support third-party open models, starting with Z.ai’s GLM-5.2. This and future open models will run on the same infrastructure, regional controls, and service commitments as Mistral models, so customers can broa

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ks It won't kill you, or humanity, to get off the AI upgrade treadmill New models arrive so fast, we already have more new tech than it's possible to understand in a career Cisco, Nvidia team up to build fatter, faster pluggable If you thought 1.6 Tbps was fast, just wait, Cisco's USFP targets 12.8 Tbps in a single optical pluggable TOP STORIES Anthropic asks users to stop being mean to Claude; '123456' password linked to Denmark data breach affecting 8.8M people; Microsoft and Anthropic play in

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ks It won't kill you, or humanity, to get off the AI upgrade treadmill New models arrive so fast, we already have more new tech than it's possible to understand in a career Cisco, Nvidia team up to build fatter, faster pluggable If you thought 1.6 Tbps was fast, just wait, Cisco's USFP targets 12.8 Tbps in a single optical pluggable TOP STORIES Anthropic asks users to stop being mean to Claude; '123456' password linked to Denmark data breach affecting 8.8M people; Microsoft and Anthropic play in

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ordings into a LeRobot dataset More Articles from our Blog LeRobot goes to driving school: World’s largest open-source self-driving dataset 109 March 11, 2025 robotics ai datasets NVIDIA's GTC 2025 Announcement for Physical AI Developers: New Open Models and Datasets +1 42 March 18, 2025 Community @ SteveNguyen @ glannuzel Congrats on the release, really excited to build one of these. One small snag while working through the BoM: the electronics repo it links to isn't publicly accessible. Could

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Inference runs on a single 24–32 GB GPU. Check out the documentation and the paper for the technical details. FastWAM VLAs: the model zoo keeps growing GR00T N1.7 We upgraded our NVIDIA GR00T integration to GR00T N1.7, the newest open generation of NVIDIA's cross-embodiment foundation model. N1.7 swaps the previous VLM for Cosmos-Reason2-2B (built on Qwen3-VL) feeding a flow-matching action head, and our integration is parity-tested against NVIDIA's original Isaac-GR00T implementation: same inp

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ks It won't kill you, or humanity, to get off the AI upgrade treadmill New models arrive so fast, we already have more new tech than it's possible to understand in a career Cisco, Nvidia team up to build fatter, faster pluggable If you thought 1.6 Tbps was fast, just wait, Cisco's USFP targets 12.8 Tbps in a single optical pluggable TOP STORIES Anthropic asks users to stop being mean to Claude; '123456' password linked to Denmark data breach affecting 8.8M people; Microsoft and Anthropic play in

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ks It won't kill you, or humanity, to get off the AI upgrade treadmill New models arrive so fast, we already have more new tech than it's possible to understand in a career Cisco, Nvidia team up to build fatter, faster pluggable If you thought 1.6 Tbps was fast, just wait, Cisco's USFP targets 12.8 Tbps in a single optical pluggable TOP STORIES Anthropic asks users to stop being mean to Claude; '123456' password linked to Denmark data breach affecting 8.8M people; Microsoft and Anthropic play in

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ore of their AI-generated content. This builds on our ongoing work to make content origins clearer, like open-sourcing our SynthID text watermarking technology and partnering with NVIDIA to watermark AI-generated video from their Cosmos world foundation models . To help more organizations identify AI-generated media, we’re launching a new AI Content Detection API on Google Cloud’s Gemini Enterprise Agent Platform. This gives businesses a powerful way to spot AI content made by both Google and ot

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ort for most popular open-weights models today, and is designed for drop-in portability across inference engines. We are collaborating with leading open-source partners, including NVIDIA, vLLM, and SGLang, to ensure renderers can become a useful reference standard across inference and RL infrastructure for the broader ecosystem. How renderers works A renderer is a structured translation layer between human-facing conversation objects and the token sequences a model actually consumes and produces

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AI + ML High-speed connectivity without NVLink baggage Astera Labs unveiled an alternative to Nvidia's NVSwitch for building rack-scale AI systems on Tuesday, claiming it will work with nearly any accelerator. The AI fabric switch, codenamed Scorpio X, crams 320 lanes of PCIe 6.0 connectivity into a single ASIC with 5.12 TB/s of bidirectional bandwidth. Historically, PCIe switches have been used in a variety of applications including scale-out compute fabrics. CPUs alone either didn't offer enou

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