rich1.0Andrew Anglin (npub1kc…5ytv4)https://yabu.me/npub1kcvcqzvq8yh3czxmqs0c87xkw4wr324ucf68zf00talgytwp230sp5ytv4njumphttps://yabu.melol Yeah, I'm getting a lot of similar feedback on this. People are sending a lot of data on successes of AI job replacement. Clearly, the maximalist claims were wrong, AGI is a hoax. And there is an unsustainable amount of money in the industry that is not making a return, pushing the “growth company” model beyond anything we’ve ever seen before. Further, I will continue to maintain that Chinese AI is much better and is actually driving development now, rather than the reverse. Qwen and Deepseek/Huawei (Qwen also integrating Huawei) are the defining AI models already, and the question now is the effectiveness with which US companies will be able to rip them off, particularly with relation to efficiency. The infinite money glitch between Nvidia and OpenAI/Oracle is unsustainable unless the compute becomes significantly more efficient. However, having spent a day reviewing this, it seems my premise was slightly outdated, especially in relation to code. The “firing and rehiring because the AI can’t actually do the jobs” is waning, and this latest round of firings appears to be legitimately representative of large scale AI job replacement operation. (Thankfully, most of these layoffs are Indians thus far, who will lose their H1-B status.) So I concede an informal and non-binding partial correction, which I will blame on having been largely out of it in recent months, due to irresponsible alcohol consumption levels and then PAWS. nostr:nevent1qqs2svz5gsu32wdvexc90dtu3f95w0hrxd9mwkx993zszl07tpmpm8gzyrgl670q0j9j5wf4rqm3fg39xyfsjdv3n2sxadsta0a6zu49rujywqcyqqqqqqgtmwfx7