Vingtor

What’s it like in college right now when you actually want to learn while everyone—students, tutors and professors—is cutting corners with AI. “That was basically the end of our session,” Lahr said. “I had a crashout about that afterwards because I was like, Why am I even here?”

AI needs open markets and open access not whatever is happening here

It's been found that roughly 80% of white-collar workers are refusing to adopt AI, finding workarounds to do their work manually instead. Despite big companies spending tens of millions of dollars to deploy AI tech, people are going out of their way not to use it.

Mythos Preview has already found thousands of high-severity vulnerabilities—including some in every major operating system and web browser.

The Dignity Act is mass amnesty and would constitute a terrible betrayal of our voters.

“current models still hallucinate” is true in the same way “planes still crash” is true. broad enough to be technically correct, too broad to settle the actual argument. the real question is whether you’re following the frontier closely enough to say where the failure lives now. and honestly, that’s why aran’s criticism lands for me. i think you’re sincere in the belief, because i’ve read things from you outside x and i don’t think the concern is fake. but judged only from your x feed, you often come off bitter, like this has become personal. you keep citing papers using outdated models, posting gotcha screenshots, and using non-reasoning models as stand-ins for the frontier, and after a while it starts to look like you’re painting a lower-resolution picture of the field so your earlier predictions still look right.

The heads of the big AI labs continue to insist that their products are going to take all your jobs, and also pose various catastrophic risks

Citadel CEO Ken Griffin on why the AI boom might be the most overhyped tech cycle we have ever seen: This year alone, data center spending in the United States is projected to exceed $500 billion. And Griffin wants to know what all of that money is actually buying. "You're not going to generate this kind of spend unless you're going to make a promise. You're going to profoundly change the world." In his view, the scale of the capital commitment demands the scale of the promise. And when the promise has to be that big, hype becomes inevitable. "Is it hype? Of course." Griffin isn't arguing that AI is worthless. He sees real impact in certain areas like call centers and software engineering. But for the broader white collar workforce, he's far less convinced. He points to a recent Harvard paper that coined the term "AI work slop." It looks impressive on the surface, but falls apart the moment you look closer. He saw it firsthand inside Citadel. A colleague running their commodities business handed him a report generated by an AI engine. "The first few sentences like, 'Wow, that's really insightful.' And then you go down below that and it's all garbage." For Griffin, this is the defining tension of the current AI cycle. The industry needs to promise transformation to justify the investment. But the actual productivity gains, for most jobs, haven't shown up yet. We have seen this pattern before. Transformative technology attracting massive capital well ahead of proven results. When the hype finally settles, will AI have actually changed anything at all?

OpenAI CFO excluded from crucial meetings whilst planning to go public + spending a gajillion dollars on GPUs…