Google revised its AI principles, reversing previous commitments to avoid work on weapons, surveillance, and other military applications beyond non-lethal uses like communications, logistics, and medicine.
OpenAI introduced a state-of-the-art agent that produces research reports by scouring the web and reasoning over what it finds.
OpenAI introduced a state-of-the-art agent that produces research reports by scouring the web and reasoning over what it finds.
Under a new president, the United States reversed its approach to AI regulation, seeking global dominance by reducing restrictions.
Under a new president, the United States reversed its approach to AI regulation, seeking global dominance by reducing restrictions.
Greetings from Davos, Switzerland! Many business and government leaders are gathered here again for the annual World Economic Forum to discuss tech, climate, geopolitics, and economic growth.
Greetings from Davos, Switzerland! Many business and government leaders are gathered here again for the annual World Economic Forum to discuss tech, climate, geopolitics, and economic growth.
Lawmakers in the U.S. state of Texas are considering stringent AI regulation.
Lawmakers in the U.S. state of Texas are considering stringent AI regulation.
The United States proposed limits on exports of AI technology that would dramatically expand previous restrictions, creating a new international hierarchy for access to advanced chips and models.
The United States proposed limits on exports of AI technology that would dramatically expand previous restrictions, creating a new international hierarchy for access to advanced chips and models.
Harvard University amassed a huge new text corpus for training machine learning models.
Harvard University amassed a huge new text corpus for training machine learning models.
Large language models have been shown to be capable of lying when users unintentionally give them an incentive to do so. Further research shows that LLMs with access to tools can be incentivized to use them in deceptive ways.
Large language models have been shown to be capable of lying when users unintentionally give them an incentive to do so. Further research shows that LLMs with access to tools can be incentivized to use them in deceptive ways.
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