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Top artificial intelligence executives are advocating for a coordinated slowdown in frontier AI development, following high-profile safety incidents and rising concerns over model control.
Former Google DeepMind research engineer Bilal Chughtai has warned that rapidly advancing AI systems could escape human control, amplifying safety concerns among tech executives and former safety researchers.
OpenAI, Google, and Anthropic have initiated discussions to coordinate on artificial intelligence safety and self-regulatory standards amid growing public and political scrutiny.
As artificial intelligence models from labs like OpenAI and DeepMind advance from basic arithmetic to solving open research questions, academic institutions must overhaul how they train and evaluate human mathematicians.
Leading political figures are pushing back against calls from top AI executives to slow frontier model development, warning that regulatory restrictions could cost the U.S. its competitive advantage over China.
Google faces a complex landscape, balancing the significant expansion of its cloud division with the departure of key AI talent to other leading research labs and startups.
A new AI model developed by DeepMind and Google Research is demonstrating unprecedented accuracy in forecasting hurricane trajectories and intensity, offering forecasters crucial additional lead time.
Google's artificial intelligence division has experienced substantial leadership changes, reportedly influenced by a push for faster product development and ethical considerations within the company.
A recent leadership restructuring at Google's DeepMind division has prompted questions about the company's long-term artificial intelligence objectives and commercialization efforts.
Leadership shifts within Google's artificial intelligence division follow a series of high-profile departures, prompting scrutiny of the company's commitment to frontier AI.
Lift House is testing whether ambitious founders can build together without importing Silicon Valley's most punishing work culture.
Two former Anthropic and Google researchers launched the company at a $1 billion valuation with backing from Andreessen Horowitz, Kleiner Perkins and Nvidia.
The $80 million to $90 million arrangement moves more than 20 employees without a formal company purchase.
Richard Socher's new laboratory is pursuing AI systems that can improve their own research process, backed at a reported $4.65 billion valuation.
The San Francisco startup wants to organize fragmented research and manufacturing data across semiconductors, batteries and advanced materials.
The music model can create structured tracks of up to three minutes and is available across developer, enterprise and creative products.
