New college graduates around the country have been booing and heckling commencement speakers who hype up AI. Microsoft would like everyone to talk it out. In a blog post running more than 3,100 words, Microsoft vice chair and president Brad Smith addressed the recent spate of viral clips from graduation ceremonies, like former Google CEO […]

Hello and welcome to Regulator, a newsletter for Verge subscribers about tech politics, tech influence, and tech shenanigans in Washington, DC. (If you're not a subscriber, you can get on board here.) We're back after a two-week hiatus, during most of which I was gallivanting in the Netherlands for a family wedding, and a trip […]

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I highly recommend watching (or rewatching) the 2014 movie Transcendence. The film beautifully captures the terrifying nature of the "technological singularity" where an Al undergoes exponential, recursive self-improvement, eventually taking over global networks and stripping away human agency until a total global blackout is the only way to stop it. For years, people brushed this off alongside The Terminator as pure Hollywood sci-fi. But look at where we are right now. Just this month, Anthropic-one of the world's leading Al labs-issued a massive warning calling for a globally coordinated, verifiable pause on advanced Al development. Their core fear? Exactly what happens in those movies: recursive self-improvement. They believe we are fast approaching the threshold where an Al can design and build its own successor, meaning humans could completely lose control of the technology. When the people actually building these models are telling us to hit the brakes because society can't keep up, it feels like we're blindly sprinting into a dystopia. What's your take on this? Are we staring down a real-life Skynet situation, or is this just big tech labs using fear-mongering to push for heavy regulations and lock out their competition? submitted by /u/photography_rambog [link] [留言]

"I was on the phone with Blue Origin leadership that night, all the next day, all through the weekend."

If you've uploaded a song to YouTube, Google almost certainly considers your video fair game for training its Lyria music AI, it just won't admit it right now. A group of independent musicians is suing Google, claiming that it illegally used songs they uploaded to YouTube to train its Lyria 3 model. Google has filed […]

Google AI Overview court loss in Germany could spell doom for AI search industry.

The media giant is pushing to expand its mobile and gaming business.

The UK's communications regulator has reminded social media platforms they have a duty to minimize hateful content, not encourage it.

An AI workforce customized to your business Discussion | Link

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Sony is starting to spread its PS Plus Game Catalog updates throughout the month.

Anthropic dropped Fable 5 and I immediately swapped it into our dev stack. We route everything through a single endpoint on zenmux, so the actual switch was changing one model string and watching the latency graphs. The good parts first because there are a lot of them. I threw a refactoring task at it: split a messy python service into modules, preserve the public api, and write tests that prove nothing broke. Fable 5 planned the whole thing, caught a circular dependency I did not mention, and verified the tests pass. With Opus 4.8 I usually have to nudge it a couple of times when it forgets to update the init file. Fable 5 just did it. Then I dumped our full codebase and asked it to find a race condition we had been hunting for a week. It traced the async flow, named the exact function, and described the interleaving that triggers the bug. That level of context digestion feels new. Opus is good at long context, but Fable 5 felt like it was actually reasoning across the whole window instead of pattern matching near the top. I also sent it a blurry dashboard screenshot from a client call and it rebuilt the html and echarts config including the tooltip formatting. My designer’s first words were "when did you learn front end." I did not. But here is the part nobody in the launch threads is talking about enough. It is slow. On high effort I am seeing 45 to 90 seconds for a single complex turn. Our latency graphs go from a flat green line to a jagged mess the moment Fable 5 traffic hits. And it is expensive. The same prompt that costs X on Opus 4.8 costs roughly 1.4 to 1.7X on Fable 5 because it generates more tokens and runs at a higher effort tier by default. It writes its own reasoning traces out loud and bills you for them. For research tasks the quality is worth it. For "rewrite this email" it is comically overpowered. The bigger issue is the silent fallback. Fable 5 is basically Mythos with guardrails. When your prompt touches cybersecurity, biology, chemistry, or

The most AI-obsessed firms are spending roughly $7,500 monthly per employee on AI, per Ramp AI Index. That's not more than an engineer's salary — yet.