Of all the debates out there about the potential downsides of AI, there is one concern that is causing the most concern among AI enthusiasts in Silicon Valley. Their fear is that the giant artificial intelligence labs that sell proprietary models are somehow acting as Trojan horses. The concern is that as startups and enterprises
On Friday, Apple released the explosive news that it was suing OpenAI for alleged theft of trade secrets, alleging that OpenAI stole confidential Apple data and engaged in efforts to learn proprietary information while recruiting former Apple employees. Accusing OpenAI of stealing secrets about unreleased Apple products, Apple revealed that a former employee allegedly diverted
General Fusion began trading on the Nasdaq today under the symbol GFUZ, becoming the first publicly traded fusion energy company, surpassing its Trump-backed competitor TAE Technologies by several months. And investors seemed to want in. Shares rose when trading began on Monday and are now up 40% from $12.85 as of 12:50 p.m. ET. General
Apple’s trade secret lawsuit against OpenAI is packed with a series of extraordinary allegations that paint a picture of a coordinated effort to extract confidential information from current and former Apple employees. But what’s perhaps most surprising is how matter-of-factly the alleged misconduct is described, including a message that reads, “LOL, I found out I
Sam Altman and Elon Musk traded scathing posts on social media over the weekend, drawing new attention to the gap between vision and reality in the space computing business. In response to Musk accusing him of being a scammer, Altman said: “dude, you’re the one selling [sic] public market investors in near-term space data centers.”
Quick question: Do you want AI to be so well-trained that it can help husbands (or wives, for that matter) plan the perfect murder of their spouses? Probably not, right? Just as a gut reaction, it feels like a no. I wouldn’t even think it was a particularly difficult question. But America contains many diverse
