

Companies boasting about committing felonies and trying to charge companies to run the uncontrollable super-hacking machines on their systems has got to be one of the stupidest marketing attempts ever.


Companies boasting about committing felonies and trying to charge companies to run the uncontrollable super-hacking machines on their systems has got to be one of the stupidest marketing attempts ever.


In my experience (of having my office 2-doors down from the CEO of a minor public company), most of his “work” was just meetings with other CEOs and execs over breakfast, lunch, dinner, golf, etc to discuss business deals, acquisitions, and such. Not sure how an AI could do that, as it was mostly a social/class/nepotism thing.


Amazon was junk level for a long time. I don’t think it’s uncommon for early, “grow fast at all costs” companies to have poor credit ratings. Though, Oracle really isn’t an early stage company.


AFAIK, these companies are making record revenue.


The “best” one I’ve tried is the latest Opus. I don’t trust any of them to use for real work, so I mostly just play around with a local Qwen 3.6 27B or Deepseek v4 Flash. I have heard OpenAI’s latest models produce less bloat than Anthropic’s.
I should say I do find LLMs useful as a kind of search agent (both web and large unfamiliar code bases). And GhidraMCP is pretty cool (maybe just because I don’t have much experience with reverse engineering).


I think they could significantly lower their costs if they turn their focus away from the race to “AGI.” But, their valuations don’t really make sense unless investors believe they will achieve AGI.


Windows and the fascist company behind it needs to die.


It can speed up training and reduce the amount of training data needed. Well, at least if you have access to the output vector, which I guess you don’t over the API. I think most “distilled” models you see for download don’t do full backprop training, because it takes enormous amounts of compute, and instead use low-rank methods. The low rank methods really only change the style. Alibaba has the compute to do proper training.


I’ve heard “loops” will burn a lot of tokens. Haven’t tried it myself. A person could also spool up multiple loops to work on multiple branches at the same time.


We’re probably seeing demand destruction. I’m curious if the thin-client thing that a lot of these companies seem to want will actually take off. I’ve also been noticing a lot of “cyberdeck” and retro handheld stuff lately; I wonder if that’s related.


Tesla FSD is not safer than real drivers. All robotaxis are level 4 at most, so it’s an “apples vs oranges” thing. It’s like saying trains are safer than real drivers. By all accounts, the Tesla robotaxis are the worst that exist, and they’re barely being used where they’ve been rolled out.
I will give credit that Tesla forced other car manufacturers to innovate, but they’re outclassed in every way now.


I only tried it a few times in the web chat interface. Seemed worse than Sonnet in that environment. Probably needs more reinforcement tuning for chat. Guessing it was tuned more for Claude Code.


Qwant is French. Not a privacy search engine and looks like it features AI now. Kagi is really good, but US based and expensive. I think most of Europe does intelligence sharing with the US (“14 eyes” or something like that)?


RTO is designed to “fire” only the least desperate employees.


Tons of people are getting fired because the owners think AI can replace them. Doesn’t mean the AI can do the work properly, but they are getting fired anyway.
I know a person that works at an AI startup and they convinced a company to replace their HR department with AI a while back. Funnily enough, that startup’s “AI” is largely “Actually Indians.” Their service is an agent that writes its own “tools” to solve problems/complete tasks, but the tools often don’t work, so they have a large team of devs in India rewrite them or do the tasks.


AstroNvim is nice. It’s an opinionated and pre-configured nvim distro, so you don’t have to spend as much time finding the right plugins and configurations.


I doubt it’s the “culture.” It’s just that they used to specialize in making things for the lowest cost possible. That’s changing bit by bit. DJI is best in class for example; no other consumer product comes close. They are also leading in many scientific fields.
Can states not sue companies that accept payment from citizens within their state?


These markets were illegal for so long because they can easily turn into assassination markets with plausible deniability.
Related Youtube video I saw the other day: “AI bubble will pop…………any day now.”