A daily news analysis show on all things artificial intelligence. NLW looks at AI from multiple angl
After months of speculation, Ilya Sutskever, co-founder of OpenAI, has launched Safe Superintelligen
Nvidia has ridden the AI wave all the way to the top of the public markets, exceeding the market cap
Explore the latest in AI video technology with Runway Gen-3 and Luma Labs Dream Machine. From the ad
A reading and discussion inspired by https://www.oneusefulthing.org/p/what-apples-ai-tells-us-experi
Counting down the top 5 AI stories of the week, from AI candidates running for political office to A
In Wyoming, an AI avatar is running for mayor. In the UK, one is running for Parliament. Are imparti
Apple’s recent AI strategy announcement has catapulted them back to being the world’s most valuable
Apple’s recent AI strategy announcement at WWDC 2024 has sparked discussions about the balance betwe
Apple made its much-awaited announcement about AI today. NLW covers everything that was said, and ho
A reading and discussion inspired by https://x.com/nic__carter/status/1797635177973158182 ** Join Su
The U.S. government is investigating Nvidia, OpenAI, and Microsoft for potential antitrust violation
Dive into the latest controversy in the AI world as current and former employees of AI labs call for
That's the argument in a new WSJ piece: https://www.wsj.com/tech/ai/the-ai-revolution-is-already-los
This week, the Economist posted two letters from current and former members of the OpenAI board. Whi
Dive into today’s AI Daily Brief Headlines Edition to explore how disinformation agents are using Ch
Explore the AI companies featured on Time’s 100 Most Influential Companies list. This video reviews
The OpenAI controversy continues to dominate headlines, with recent comments from former board membe
Today’s extended headlines edition covers the massive Series B round completed by Elon Musk’s xAI, r
A reading and discussion inspired by https://www.bloomberg.com/opinion/articles/2024-05-21/ai-safety
Anthropic’s new research brings us closer to understanding the inner workings of LLMs. By identifyin
