Mira Murati's lab plans to release the 594B-parameter model's weights under Apache 2.0 next week, following external safety testing and red-teaming. By RuntimeWire Staff · Published Nov 5th, 2026, 6:40pm CT Primary source: Hacker News Inkling 2 Small tests whether Mira Murati's lab can turn its…
Thinking Machines Lab introduced Inkling 2 Small on November 5, 2026, making its second-generation model available through Tinker with closed weights. The sparse Mixture-of-Experts system has 594 billion total parameters and 17 billion active parameters, targeting long-horizon autonomous work alongside coding, vision and knowledge tasks.
World Labs released Frameboy on November 5, 2026, a research preview that the company says streams Atlas-generated scenes from cloud GPUs to a browser at up to 15 frames per second as users control the camera. The company also integrated the mode into…
Advanced Micro Devices Inc. AMD-Q said Wednesday that it will pay about US$2.9-billion for Toronto-based semiconductor startup Taalas Inc., making it one of the largest takeovers of a Canadian technology company. Santa Clara, Calif.-based AMD announced the deal…
SEOUL, Nov. 4 (Yonhap) -- The government and U.S. chip giant AMD held a steering committee meeting in Seoul on Wednesday to discuss their artificial intelligence (AI) chip partnership agreement signed early this year, the science ministry said. The meeting was a follow-up…
WEDNESDAY, 4 NOVEMBER 2026 Nvidia is in early talks to deepen its investment in Reflection AI, the US-based open-weight artificial intelligence startup it already helps bankroll. The discussions signal the chipmaker’s intent to tighten its grip on a company central to its…
WASSP, the New Zealand-based manufacturer of multibeam sonar technology and part of the Furuno group, this year marks 20 years since the launch of its first multibeam system at the SMM maritime trade fair in Hamburg in September 2006. What began as…
An open-source optimization framework developed with CERN has automated accelerator tuning at GSI and FAIR, cutting SIS18 injection losses from 45 percent to 12 percent and speeding up fragment separator setup.
Researchers introduced EVENET, a foundation model pretrained on 500 million simulated collision events that outperforms task-specific baselines across new-physics searches, precision measurements and real CMS Open Data anomaly detection.
A datasheet gives you a beam angle and a mounting height. What you actually need to know is how much floor the radar covers, and how much of that footprint is usable. Those are two different questions, and the published…
Labs founded by star researchers: Safe Superintelligence, Thinking Machines Lab, Reflection AI, Periodic Labs, Yann LeCun's AMI Labs and World Labs.
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