Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Minimalist editorial illustration in Anthropic style, 16:9 split-screen layout, left 60% warm off-white background with centered icon of circular silicon wafer with wedge cutout showing layered cross-section in thick wobbly black lines and terracotta accent, right 40% warm tan block with bold black sans-serif text reading CHIPS, hand-drawn marker feel, flat shapes, subtle paper grain, high contrast, clean negative space
IMPORTANT: Anthropic will directly purchase close to 1,000,000 TPUv7 units and deploy them in facilities it controls. These 1 million chips will be purchased directly from Broadcom selling the systems to Anthropic. Under this structure for Anthropic owned TPUs, TeraWulf (WULF),”” https://x.com/SemiAnalysis_/status/2007225399080550506?s=20
NVIDIA Announces Alpamayo Family of Open-Source AI Models and Tools to Accelerate Safe, Reasoning-Based Autonomous Vehicle Development | NVIDIA Newsroom https://nvidianews.nvidia.com/news/alpamayo-autonomous-vehicle-development
China Tells Tech Companies to Halt Nvidia H200 Chip Orders — The Information https://www.theinformation.com/articles/china-tells-tech-companies-halt-nvidia-h200-chip-orders
NVIDIA DGX Spark and DGX Station Power the Latest Open-Source and Frontier Models From the Desktop | NVIDIA Blog https://blogs.nvidia.com/blog/dgx-spark-and-station-open-source-frontier-models/
NVIDIA Kicks Off the Next Generation of AI With Rubin — Six New Chips, One Incredible AI Supercomputer | NVIDIA Newsroom https://nvidianews.nvidia.com/news/rubin-platform-ai-supercomputer
Nvidia’s reportedly asking Chinese customers to pay upfront for its H200 AI chips | TechCrunch https://techcrunch.com/2026/01/08/nvidias-reportedly-asking-chinese-customers-to-pay-upfront-its-for-h200-ai-chips/
Accelerating open-source physical AI. 🤖 NVIDIA is collaborating with @huggingface to bring open-source NVIDIA Isaac technologies into the @LeRobotHF framework, making end-to-end robot development faster and more accessible. 🔹 Connecting 2M+ NVIDIA robotics developers with 13M”” https://x.com/NVIDIARobotics/status/2008636752651522152
Hard to know which X articles are valuable, but this is a good summary of the significance of world modeling by a distinguished scientist and robot expert NVIDIA”” https://x.com/emollick/status/2018774863734075878
Excited to share our @NVIDIARobotics × @huggingface collaboration on robotics that was presented at CES in Las Vegas. This is a big step for developers. Anything you build in Isaac Sim / IsaacLab: environments, tasks, robots can now run out of the box in LeRobot. Thanks to”” https://x.com/LeRobotHF/status/2008495248931017026
📢 New paper from GEAR team @NVIDIARobotics We released DreamZero, a World Action Model that turns video world models into zero-shot robot policies. Built on a pretrained video diffusion backbone, it jointly predicts future video frames and actions. 🌐”” https://x.com/yukez/status/2019096072690553112
Jim Fan on X: “The Second Pre-training Paradigm” / X
https://x.com/DrJimFan/status/2018754323141054786
Dell’s CES 2026 chat was the most pleasingly un-AI briefing I’ve had in maybe 5 years | PC Gamer https://www.pcgamer.com/hardware/dells-ces-2026-chat-was-the-most-pleasingly-un-ai-briefing-ive-had-in-maybe-5-years/
For the last decade, it has been hard to stray off the beaten path of accepted wisdom that scaling training parameters drives innovation. However, the relationship between training compute + performance is uncertain + rapidly changing.”” https://x.com/sarahookr/status/2008527272798826689
Three GPU Markets, Three Volatility Regimes https://davefriedman.substack.com/p/three-gpu-markets-three-volatility
Tired: Data Curation for Training Wired: Data Curation for Evals VLM evals now eat 20% of training compute. In addition, they remain noisy & low-signal Introducing DatBench: A curated eval suite for VLMs. Led by @HaoliYin @RishabhAdiga01 @sjoshi804 @RicardoMonti9″” https://x.com/pratyushmaini/status/2008558144239399127
What to expect over the next few years? @drfeifei: “It’s going to be a changing world! A lot of things that was difficult to do are will actually go through a revolution because of this incredible technology.” What an incredible lineup of guest joining @LisaSu at @AMD keynote”” https://x.com/TheTuringPost/status/2008388923572297729
(22) CES 2026: AMD CEO Lisa Su delivers keynote on AI – YouTube https://www.youtube.com/watch?v=Wjh_U89Qkqk
We cut VLM eval compute by >10× while INCREASING signal. The secret? Most benchmark samples are noise: → 70% solvable without the image → 42% mislabeled or ambiguous → MCQ formats hide 35-point capability gaps Presenting: DatBench 🧵 1/n”” https://x.com/HaoliYin/status/2008554232258113925
Recent contributions by NVIDIA engineers and llama.cpp collaborators resulting in significant performance gains for local AI”” https://x.com/ggerganov/status/2008429000343904359
We love working with NVIDIA and they make the best AI chips in the world. We hope to be a gigantic customer for a very long time. I don’t get where all this insanity is coming from.”” https://x.com/sama/status/2018451015272694248
Our Abilene Stargate data center is driving local economic value, for the city and its residents:”” https://x.com/gdb/status/2018374301465096589
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