AI
New tools, big breakthroughs, and what artificial intelligence means for you.
New tools, big breakthroughs, and what artificial intelligence means for you.
New tools, big breakthroughs, and what artificial intelligence means for you.
Co-founder Kevin Weil says robotic labs will generate data to train AI models for science.
Zhan says Sequoia, Jeff Dean, Sachin Katti and Philip Wong will be among the fund’s limited partners.
Anthropic says the proofs target RISC-V binaries under modeled Linux conditions, for inputs under 64 MB.
The Wall Street Journal reports that some researchers enabled disappearing messages in Signal chats with an outside safety researcher.
NVIDIA says Vera Rubin offers Day 0 support for the model, with throughput of up to 200K TPS/GPU.
Bloomberg reports the figure is $150 billion below the $1.4 trillion valuation previously discussed; negotiations remain ongoing.
OpenAI says the company-wide rollout expands a 1,000-person pilot and includes training and approved integrations.
humans& says its Ampersand model powers Boba, which it pitches for reminders, group planning and web research.
After user approval, 1Password says it autofills the credential on the destination site without handing it to the agent.
XCanva claims it ranks second among AI labs for image generation on DesignArena’s global leaderboard.
XThe contest page lays out GPU-kernel and SGLang serving work, with different tests for each.
The poster says another Fable recovered the exact message in a fresh session without being told how it was hidden.
Gary King and Steven Worthington say the human reviews were judged unusually good by journal editors and authors.
Perplexity says the app answers questions about text and images through a local API without a usage bill.
XOpenAI says developers can use bounded answers to choose an app’s next action without generating a full response.
@elonmusk called it a phone-app integration, while @bot gave no details on supported actions or rollout eligibility.
Microsoft researchers report in Science that MAI-DxO scored 80.3% accuracy versus 46.8% for physicians on text-based emergency cases.
Chris Dixon says crypto remains in scope, alongside founders building technologies and markets that may take years to develop.
YouTubeDataVendor says it spent two years building the service for lab researchers and companies selling data.
XPodium's founder says it took eight years to first reach $150M ARR, versus 2.5 years with AI.
