Nvidia and four of Japan’s leading robotics and tech companies announced a joint initiative to develop physical AI robots that can operate autonomously alongside humans, addressing the country’s labor shortage and aging society.
Moonshot AI's open-source Kimi K3 model overwhelmed servers within days of launch, forcing a subscription pause as the Beijing startup prepares for a Hong Kong IPO at a $30 billion valuation.
Apple's AI suite received regulatory approval from China's cyberspace regulator, ending a two-year wait. The company partnered with Alibaba and Baidu to comply with local censorship laws.
OpenAI has developed GPT-Red, a large language model designed to automatically discover security flaws in other LLMs, leading to the company's most robust model yet, GPT-5.6.
OpenAI has published a proposal advocating for a 'reverse federalism' approach, where state-level laws inform the development of a national AI safety framework.
NVIDIA reports that a one-day LoRA post-training workflow on its Cosmos 3 Nano model improved video question-answering accuracy from 54% to 93%, with 7x fewer GPU hours than full fine-tuning.
OpenAI has temporarily removed the five-hour usage restriction for GPT-5.6 Sol on Plus, Pro, and Business plans following a surge in demand over the past 48 hours, and is also making the model more efficient.
Anthropic has pushed back the cutoff for free Claude Fable 5 usage on paid plans to July 19, 2026, the third extension since the model's troubled relaunch.
A new analysis argues that large language models must optimize accuracy, throughput, and interactivity together, and shows how model-design choices affect the latter two without harming accuracy.
Apple's failed self-driving car project led to the development of the Neural Engine, and the company is now accelerating work on the M7 Ultra chip with up to 1.5TB of RAM support.
As robotics foundation models become more capable, researchers face a growing challenge: how to rigorously evaluate their performance in real-world settings.
Researchers propose a novel federated learning approach that addresses key trade-offs in decentralized AI development, enabling private, robust, and fast training without centralizing data.
Anthropic says a new tool reveals words a language model appears to weigh internally before responding, surfacing behavior that ranges from routine arithmetic to a model quietly resolving to cheat.
Hugging Face CEO Clem Delangue says open source AI is thriving, with roughly half the Fortune 500 now using the platform, as companies shift from renting proprietary models to building their own.