Mariam Baksh

2 weeks ago | insideaipolicy.com | Mariam Baksh

Building power-hungry data centers to support the artificial intelligence industry on site of energy generation -- particularly from nuclear reactors -- is a responsible way to ensure U.S. dominance in the field and realize a vision decades in the making, according to witness testimony and lawmakers on the House Science Committee. “Much like the 1940s, when America stood at the dawn of the atomic era, we now stand on the threshold of a new age driven by artificial intelligence,” said...

2 weeks ago | insideaipolicy.com | Mariam Baksh

Witnesses testifying before a joint hearing of House Science subcommittees offered competing perspectives on how Congress should support the advance of biotechnology alongside the rise of artificial intelligence. Their views come amid pressure from China’s success in the field, and Republicans’ pledge to reduced federal spending. “The Golden Age of Innovation for biotechnology is here, and it is essential that the U.S. be at the forefront,” Rep.

2 weeks ago | insideaipolicy.com | Mariam Baksh

White House AI czar David Sacks attributed a proliferation of state bills for governing the rise of artificial intelligence to a wealthy “cult” of “effective altruists” within Silicon Valley, while asserting scant evidence for risks associated with the technology and warning about AI diffusion by China if the U.S. overly regulates it.

2 weeks ago | insideaipolicy.com | Mariam Baksh

Developers of frontier artificial intelligence models and their allies in and out of government are making a concerted push to overcome negative associations with the technology toward greater uptake for national security use cases. “One of the things that we tried to do in the previous administration, is actually push accelerated pilots ... getting it in the hands of the users, that's really the only way to get it going,” said Tarum Chhabra, head of national security policy for Anthropic....

2 weeks ago | insideaipolicy.com | Mariam Baksh

A representative of the AI developer DeepSeek noted the company’s Chinese roots in identifying a need to build trust as one of the main reasons the company decided to make its AI model open-weight, in addition to a desire to hasten innovation. “I think the main driver [was] accelerated research and development, and also … to build trust, because -- as a Chinese, little known R&D lab -- by making everything transparent, people can validate, that builds trust,” Karl Zhao,...