

That’s what stepmothers are for.


That’s what stepmothers are for.


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.


It’s meant to be an attempt at humor/sarcasm/engagement bait I think.


I haven’t used the new Freenet, but have messed around with Hyphanet. You simply just upload files to the network, announce that they are uploaded (by making a Freesite, making a post on Sone, and/or making a post on their forum application (I forget what it’s called). Hyphanet is like a distributed file store that everyone can write to and read from. Kind of like an anonymized predecessor to IPFS. Large files will likely get evicted very fast, unless they are popular. And, it’s slow as hell.
I’ve done this (asked a frontier model red team my server), and it just gave me false alarms that I went investigating and weren’t really issues (would’ve been an issue if I had a very specific configuration, but not generally). They produce a lot of noise, so you still have to somewhat understand what you’re looking at/for. It didn’t find any legitimate issues, which is good I guess.
Governments are captured by these companies. Any regulation would undoubtedly benefit these companies at the peoples expense. Right now, the best solution is probably open research and open weight models to keep the field level.


Sovol due to openness. An enclosed or easily encloseable one (core-xy design) if you want to print ABS/ASA.


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.
My favorite way is Borscht. They’re pretty good grilled, then cut up, and put in salad too.


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.


I got results kinda like that before when I tried a Volcano on an old Bowden style printer and printing wet PETG… Tons of oozing.


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.
“Small,” non-generative, BERT-like models, would probably be more appropriate.
Anthropic does sentiment analysis with regex in Claude Code though ¯\(ツ)/¯
Related Youtube video I saw the other day: “AI bubble will pop…………any day now.”