David Baker was the only American scientist to win the Nobel Prize in Chemistry.
While executives work out the ramifications of AI for their organizations, individuals need to ensure that they benefit rather than lose from the technology.
Meta is the world’s standard bearer for open-weight AI. In a fascinating case study in corporate strategy, while rivals like OpenAI and Google have kept their frontier models closed source and charged for their use, Meta has chosen to give its state-of-the-art Llama models away for free.
Palantir is a “rare cult with no sex and very little drugs and we’re not poisoning anyone,” quipped its billionaire CEO in a recent sitdown.
An image made with artificial intelligence showing Irish musicians Bono and Bob Geldof holding the Israeli flag has been shared online as authentic.
Chinese artificial-intelligence startups are using workarounds to challenge OpenAI despite a lack of access to advanced chips.
Once an icon of the 20th century seen as obsolete in the 21st, Encyclopaedia Britannica—now known as just Britannica— is all in on artificial intelligence, and may soon go public at a valuation of nearly $1 billion, according to the New York Times.
All of the major phone makers are at fault. Samsung opened the year with its Galaxy S24 launch in January, declaring “Galaxy AI is here” at a hockey arena-appropriate volume. To be sure, the devices it announced are good smartphones, and they run a blend of Samsung and Google’s Gemini Nano models on-device, but I wouldn’t call them AI smartphones.
Congress will try to spur AI growth and mitigate harms next year. But passing legislation will be an uphill battle
Ishani Singh created Girls Rule AI after attending a computer science competition where she was the only girl.
AI offers business leaders the promise of higher efficiency and productivity. But there is risk in rushing to realize this potential. Nearly half of U.S. (47 percent) workers feel unprepared for its widespread adoption at their respective organizations according to recent SHRM research.
Databricks' VP of AI, Naveen Rao, told Command Line that there are likely less than 1,000 people capable of building frontier AI models.