The Google Open Source Software Vulnerability Reward Program team is increasingly concerned about the low quality of some AI-generated bug submissions, with many including hallucinations about how a vulnerability can be triggered or reporting bugs with little security impact.
I wrongly put words into people's mouths, when I should have presented them as paraphrases. In some cases, it reflected my interpretation of their words. That was not just careless it was wrong.
The economy is one subject that is expected to feature heavily in Trump's upcoming address. Many Americans are feeling a sense of anxiety, Peter Baker, the chief White House correspondent at The New York Times, said last night, whether because of "the advent of AI" or "because prices haven't gone down"-and both are exacerbated by the president's "inability to stick to that disciplined message" of affordability.
AI was everywhere, but I wasn't focused on product launches. I was looking at how companies think about data itself: how it's shared, governed and ultimately turned into decisions. And across conversations with executives and sessions on security and compliance, a pattern emerged: the technical limitations that once justified locking data down have largely been solved. What remains difficult is human. Alignment, trust and confidence inside organizations are now the true barriers.
Perplexity AI has pulled back from advertising, citing concerns that sponsored content could erode user trust. Executives confirmed the phaseout, arguing that confidence in the chatbot's answers is essential to maintain engagement and subscription revenue. Meanwhile, Meta doubled down on AI infrastructure, signing a multiyear, multibillion-dollar deal with Nvidia to purchase millions of advanced chips. The agreement reinforces Nvidia's dominance in the AI data centre market and follows Meta CEO Mark Zuckerberg's plan to nearly double the company's AI capabilities.
Hollywood is in trouble. The streaming boom that fueled a ton of production in the last decade-plus is gone, and lots of the remaining work is going overseas. No one really knows how AI will affect the movie and TV business, but there's lots of fear it won't be good. And barring something truly surprising, Warner Bros., one of Hollywood's most important movie and TV studios, is going to get swallowed up in the next year or so, which will mean even more consolidation.
Can AI help neurodivergent adults connect with each other? That's the bet of a new social network called Synchrony, which believes AI and a well-designed social network with the right safeguards can reduce social atomization and calm the overwhelming cacophony of socializing online.
"AI is changing the CEO's role-and could lead to a changing of the guard," is a Fortune feature by my colleague Phil Wahba. He points out that Microsoft CEO Satya Nadella, for example, has had an extremely successful run-12 years in the corner office-with shares rising about elevenfold during his tenure. Microsoft has also joined the elite group of companies valued above $3 trillion. But Wahba argues that Nadella won't remain relevant or effective if he doesn't stay on top of AI and its sweeping impact on the industry-and neither will his peers in any sector.
Just a couple of words about today's topic. Of course, nothing surprising here, AI is changing DevOps and is changing the way teams are moving beyond reactive monitoring towards predictive automated delivery and operations. What does that mean? How can teams actually implement predictive incident detection, intelligent rollout, and AI-driven remediation? Also, how can we accelerate delivery? Those are all topics that today's panelists hopefully are going to cover.
A company can use AI to code faster than ever - but that won't matter if the idea itself is lousy. That's just one point from a scathing critique of the current state of AI in the workplace from veteran software engineer Dax Raad, whose blunt assessment is resonating with many workers online.
This March, we're bringing you a curated lineup of the most exciting Scala and AI events from around the world. Highlights include SCALAR Conference in Warsaw, NVIDIA GTC, QCon London, and SXSW's tech tracks, offering everything from deep technical talks to hands-on AI and functional programming sessions. Whether you're sharpening your Scala skills, exploring AI in production, or connecting with global developers, this month's edition has something for everyone. Don't miss the chance to learn, network, and level up your expertise
Lots of people say: 'With the policy so messed up in Washington right now, why in the world do you spend so much time thinking about it?' he told Fortune. 'It's because I have a great belief that... the only way to get to large scale is good policy. I see the power of things like the Medicare Modernization Act, which introduced prescription drugs. Believe it or not, before that, prescription drugs weren't part of Medicare at all.'
The front-page headline in a recent Washington Post was breathless: These companies say AI is key to their four-day workweeks. The subhead was euphoric: Some companies are giving workers back more time as artificial intelligence takes over more tasks. As the Post explained: more companies may move toward a shortened workweek, several executives and researchers predict, as workers, especially those in younger generations, continue to push for better work-life balance. Hurray! There's utopia at the end of the AI rainbow! A better work-life balance!
As has been the case for several years, Google revealed the conference's dates for 2026 after enough folks completed a puzzle on the I/O website. This year's puzzle has multiple "builds" to play through, all of which use Gemini. They start with a mini-golf game in which a virtual caddy that's powered by Gemini offers some of the most anodyne advice imaginable.
According to University of Michigan neuroscientists, not only can their AI vision language model diagnose neurological disorders from MRI scans with high performance accuracy, but it also has foundation model capabilities, making it a flexible, general-purpose solution that can be tailored for a wide variety of medical imaging. "These results demonstrate that Prima has foundation model properties, and reported performance will continue to improve with additional health system training data and larger compute budgets," wrote the study's authors in the preprint.
