Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT - WSJ
<a href="https://news.google.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?oc=5" target="_blank">Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT</a> <font color="#6f6f6f">WSJ</font>
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Automated AI R&D and AI Alignment
Crossposted from my Substack . Epistemic status: in philosophy of science mode. There’s more and more interest in using AI to do a lot of useful things. And it makes sense: AI companies didn’t come this far just to come this far. Full automation might be underway, depending on a series of constraints. But what I want to talk about here is how to think about using automation for AI alignment. A while ago, the following Zvi quote resonated: Automated alignment research is all we seem to have the time to do, so everyone is lining up to do the second most foolish possible thing and ask the AI to do their alignment homework, with the only more foolish thing being not to do your homework at all. Dignity levels continue to hit all-time lows. The way I read this, automated alignment is essentially

AI in action: Vector Institute revolutionizes its own internal workflows with generative AI
Vector Institute s marketing team achieves remarkable productivity gains through AI-powered automation AI breakthroughs often make headlines for their outward-facing applications. But at Vector Institute, a recent innovation is demonstrating the [ ] The post AI in action: Vector Institute revolutionizes its own internal workflows with generative AI appeared first on Vector Institute for Artificial Intelligence .

Y Combinator’s CEO says he ships 37,000 lines of AI code per day. A developer looked under the hood
We love a good old social media roast, and Y Combinator CEO Garry Tan found himself on the business end of a doozie Wednesday. Tan, who in a past life worked as an engineering manager at Palantir and has more recently been a vocal proponent for AI acceleration, bragged that he and his AI coding agents have been deploying 37,000 lines of code per day across five separate projects. “Absolutely insane week for agentic engineering,” Tan wrote in an X post on Monday, adding in a follow-up post that he was on a 72-day shipping streak. Absolutely insane week for agentic engineering 37K LOC per day across 5 projects Still speeding up pic.twitter.com/VR3utsduYx Garry Tan (@garrytan) March 30, 2026 Two days later, a Polish game developer and senior software engineer who goes by the username Gregorei
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Persona Self-replication experiment
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