Forcing LLMs to be evil during training can make them nicer in the long run
A new study from Anthropic suggests that traits such as sycophancy or evilness are associated with specific patterns of activity in large language models—and turning on...
Why open-source AI became an American national priority
To reflect democratic principles, AI must be built in the open. If the U.S. wants to lead the AI race, it must lead the open-source AI race.Read More
New vision model from Cohere runs on two GPUs, beats top-tier VLMs on visual tasks
Cohere’s Command A Vision can read graphs and PDFs to make enterprise research richer and analyze the documents businesses actually rely on.Read More
Why the AI era is forcing a redesign of the entire compute backbone
GUEST: The past few decades have seen almost unimaginable advances in compute performance and efficiency, enabled by Moore’s Law and underpinned by scale-out commodity...
Why tomorrow’s best devs won’t just code — they’ll curate, coordinate and command AI
AI coding requires a serious structural change. Where does that leave entry-level developers and the software industry as a whole?Read More
The Download: fixing ‘evil’ AI, and the White House’s war on science
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
Forcing LLMs to be evil during...