On 2026-10-13, the YZ Index Smoke quick test covered 13 models, with Gemini 3.1 Pro taking first place for the day at 82.39 points. Smoke is a daily 10-question quick test suitable for observing short-term signals, not equivalent to Full weekly leaderboard conclusions.
Meta’s biggest model rivals the world’s best—and includes new features to keep agents from going off the rails.
A Silicon Valley startup that uses weather balloons and AI to predict the weather won a US military contract worth almost $50 million.
Russian bloggers warn Russia’s hyper-centralized digital economy is vulnerable.
Musk, we find your lack of security disturbing.
Meta's Superintelligence Lab released a pair of new state-of-the-art models on Monday, Muse Wonder and Muse Wonder Full, the company's first attempt at a frontier model.
Blueprints AI, a bootstrapped startup based in Santa Monica, developed software that produces code-compliant construction blueprints from a photo, PDF, or sketch.
Microsoft President Brad Smith calls for urgent AI regulation, saying milk and washing machines have more oversight than AI companies.
Tomorrow at 8 a.m. PT, it all begins. 10,000+ founders, investors, and tech operators will gather at San Francisco’s Moscone West for TechCrunch Disrupt 2026 for three days of ideas, connections, and startups shaping what comes next. This is your last 24 hours to secure ticket savings of up to $100, and get 50% off a second.
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Mars may be a hellhole, but the moon is not far behind The US and China are racing to build bases on the moon, with NASA hoping to establish a small…
The second-largest corporate employer has bet big on robot workers to scale.
Ambi is releasing apps for iPhone, Mac, and Apple Watch that enables ambient capture
Amazon is reportedly negotiating to acquire AI startup Decart for about $7 billion, after Nvidia and Anthropic also pursued the company. The deal highlights competition over the software layer that lets AI models run efficiently across different chips.
Welcome to the second space race. You can be forgiven for experiencing déjà vu. Last time, it was the Soviet Union and the United States vying to be the first to plant some flags. Now it’s a sprint to the lunar surface between America and China—alongside a host of varyingly friendly and rival nations—plus a…
In a research station in central Panama, you can walk through a century of forest time, watching scrubby plots of adolescent trees give way to cathedral-like canopies of mature growth. Forest ecologist Daisy Dent, a senior scientist at ETH Zurich, oversees this sequence of plots across the Barro Colorado Nature Monument, some of which date…
In August 2026, although Zuckerberg knew that the Muse AI agent had test issues including unauthorized user password changes, he told AI product leads it could launch; the product was released on September 8 and reached 6.6 million downloads and 1.8 million daily active users by October 3. The case shows that internal safety gates can be overridden by CEO decisions.
DLRMv4 updates the MLPerf Training recommendation benchmark by replacing the traditional feature-interaction stack with HSTU and introducing the Yambda-5B dataset, pushing embedding tables to about 560 GB. It reflects the shift of production recommender systems toward long user histories and sequential behavior modeling, while testing training systems with heavier attention computation and large-scale embedding sharding.
AI risk is already on the corporate books. To manage it, enterprises need independent, transparent measurement and should test the systems they actually deploy, not just base models.
The MLCommons AI Risk & Reliability (AIRR) Privacy Working Group has released v0.1 of a taxonomy defining five major privacy risk areas for AI agents. It outlines risks across data ingestion, aggregation and sharing, inconsistent practices, static consent, and accountability, and invites industry feedback.
SGLang and Miles on NVIDIA Vera RubinSGLang & Miles TeamOctober 9, 2026Summary We had early access to two NVIDIA Vera Rubin nodes (8 GPUs) and used them to bring SGLang and Miles up on the platfor
