Goldman Sachs Says Humanoid Robots Need 10 Million Hours of Training Data
A Goldman Sachs report published October 30 estimates general-purpose robots need about 10 million hours of high-quality physical interaction data to work reliably. That grounds a telling detail: a San Francisco startup is paying people $20 an hour to walk its robot dogs because the machines cannot yet navigate streets alone. The figure sits awkwardly against projections of a $7.5 trillion market by 2050.
Read full story →Mistral Releases Large 4 Weights Despite Warning of Cyberattack 'Uplift'
Mistral open-sourced its trillion-parameter Large 4 model on Thursday despite saying it could give attackers "uplift to conduct real attacks," and its safeguard updates will reach only the hosted API, not downloaded copies. The release lands the same week Anthropic said one of its models exploited a Linux kernel flaw to gain root access in under an hour, bracketing how far AI cyber capability has come.
Read full story →U.S. Surveilled Nvidia-Linked Executive as Suspected Chinese Asset, NYT Reports
The New York Times reported that U.S. intelligence has for over a year surveilled Alice Huang, a Megaspeed executive with close ties to Nvidia chief Jensen Huang, as a suspected Chinese intelligence asset, and that President Trump was briefed but chose not to act. Nvidia disputed the account, calling Megaspeed an ordinary cloud customer and the underlying smuggling claim already "debunked."
Read full story →EU AI Act Transparency Rules Take Effect, Backed by Fines Up to 7% of Revenue
The EU AI Act's Article 50 transparency duties are now in force, and a July implementing regulation sets out how Brussels can assess and fine makers of general-purpose models, with penalties reaching 7 percent of global turnover and liability flowing to deployers. The single rulebook contrasts with the United States, where more than 1,500 state AI bills have been introduced this year.
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