AI news, 13 November: Jensen Huang resigns as Nvidia CEO

Update: Jensen Huang resigns as Nvidia CEO. Nvidia announced that founder Jensen Huang has resigned as president, CEO and board member, effective immediately, following reports of extramarital affairs including one with a woman U.S. officials suspect of links to Chinese intelligence, and another with a company executive. CFO Colette Kress has been named interim CEO while the board searches for a permanent successor internally and externally; longtime director Harvey C. Jones becomes the company’s first board chair. According to Reuters and the company, Nvidia said its product roadmap and customer commitments continue uninterrupted, though shares fell sharply and the move sends ripples through the AI industry Huang helped power.

SpaceX unveils $74 billion AI supercomputing plans. SpaceX said it plans to invest more than $74 billion in two AI campuses: roughly $50 billion in Cochise County, Arizona (still needing local approvals and expected to create thousands of jobs) and about $24 billion near its Starbase site in Texas, which will generate its own electricity. Reuters and other reports note the company’s AI computing business already generates substantial revenue by serving customers, underscoring the massive infrastructure race.

Google releases Gemini 4 Hydrogen. Google launched Gemini 4 Hydrogen, a faster and lower-cost model in its Gemini 4 family aimed at everyday coding and agentic workflows. The company says it often matches or edges higher-end siblings on some benchmarks while running quicker and with fewer fabricated claims; it is rolling out in Google Search for all users, the Gemini app, AI Studio, the API and other products at $1.50 per million input tokens.

Nonprofits sue major AI labs to freeze advanced models. A coalition including Public Citizen and others filed a lawsuit in San Francisco Superior Court against OpenAI, Anthropic, Google, Meta and SpaceX’s AI entities, seeking a court order to halt development of models more capable than current systems. The groups cite the companies’ own risk warnings about potential catastrophic harms such as bioweapons or cyberattacks and argue California unfair-competition law supports intervention before disaster; the case remains pending.

DeepMind launches AlphaGenome 2 for cell-specific DNA insights. Google DeepMind released AlphaGenome 2, which predicts how genetic variants affect gene activity in specific human cell types rather than broad tissues. Trained on over 100 million single-cell profiles, it reportedly identifies nearly twice as many relevant variants as its predecessor in key tests and is available via API for non-commercial research (commercial preview), offering scientists a tool to better link DNA changes to disease mechanisms—though it is not approved for clinical diagnosis.