AI

https://twitter.com/ID_AA_Carmack/status/1925710474366034326 I have read the notes. they are a mess. For me, Carmack, aside from being a legend, is sort of Goggins of imperative procedural programming, who learned everything by doing without studying the theories first. His ultimate strength is, it seems, in a focused doing, ploughing through a problem, if you will, without being exceedingly dramatic. Learning from experience (actual trails and errors and quick feedback loops) and gradual improvement of his own “emergent” intuitive understanding – ones own mental model of how things should be done. ...

Another fresh piece of an utter bullshit. https://www.anthropic.com/research/reasoning-models-dont-say-think Please, for fucks sake, cut it down already. There are even that narcissistic @karpathy videos which show in great details (we have to admit, he is really good at explaining things) that there is no “thinking” or “saying” or “reasoning”, just probability distributions encoded as a huge graph. At least be fucking consistent among yourselves (“I really understand AI and you don’t” talking heads). ...

No, really. A fresh torrent of abstract “norime-friendly” bullshit is trending on tech social media. https://www.anthropic.com/research/tracing-thoughts-language-model Claude sometimes thinks in a conceptual space that is shared between language… No, it does not think. Period. There are paths, which emerge by from the training process, which consists of “thickness” of weights (if you will), or more precisely – the paths are the emergent structures which result from selecting the highest probabilities. This is not thinking. Not even close. ...

Classy Andrej is making shilling videos from Thailand (he leaked his location in the video ) targeting normies (the previous set of videos has been partially filmed in Japan. Andrej is living a truly digital nomad’s life). https://www.youtube.com/watch?v=EWvNQjAaOHw Why would he shill? Well, he and guys like him made a lot of promises, not to us (who tf cares), but to the money guys, that this particular technology will completely transform the world, and that they are the very top guys in the field, so money shall be given to them (to the affiliated companies and entities). ...

DESCRIPTION: Idiots, idiots everywhere. Now I can accurately summarize what coding using LLMs actually /is in just a few sentences. Recall how people usually describe a code maintenance job: we have this code to run, while the original developers are gone and leave us no design documentation. This hypothetical situation is exactly what you get when an LLM finished spewing out the slop: you now have some code, very cheap, even for free, but it is not yours, the underlying understanding (of the whys) is not in your head, and the original developer is already gone. Disappeared. ...

Well, I’ve watched it. There are a few things to realize. The code it generated ran without an issue with the simulation task. It, however, is incomprehensible without understanding of all the details (like any other code). This is, probably, so because they have feed in a lot of very similar internal code in the training phase. The gibberish from the “thinking” phase might be helpful or it may be equally cryptic. ...

slop noun Cambridge dictionary food that is more liquid than it should be and is therefore unpleasant liquid or wet food waste, especially when it is fed to animals Oxford Learner’s Dictionary ​waste food, sometimes fed to animals liquid or partly liquid waste, for example urine or dirty water from baths There is also a very related term “goyslop” from internet sewers (losers are always looking for someone to blame and hate [instead of themselves]). ...

Let’s do it again, because why tf not, especially given the magnitude of the current mass-hysteria about this AI meme (it is literally everywhere and even on Slashdot, which is the last bastion of sanity, there are 4 articles in a row with “AI” in the title). what are the roles of type-classes in Haskell and traits in other languages? This is supposedly a naive and uninformed question I asked Deepseek R1 14b. Its output will be given below verbatim. ...

AUTHOR: <lngnmn2@yahoo.com> When I was a kid they told me not to stare at the sun I had this vision, that the brain structures are sort of like trees, while the “branches” are just like patches thorough our yard after fresh snow. Some of them remain thin, just someone walked across it absentmindedly, some gets broadened by a heavy re-use. Who would plow through a fresh snow while one could take follow the path that is already here. ...

DESCRIPTION: Memes and mirrors. Nowadays things are moving way too fast. It is not just controlled trial-and-error, it is literally throwing everything at the wall (to see what sticks). It started with that meme “Attention Is All You Need”, when they just came up with an “architecture” that sticks. That “attention” and “multi head attention” turned out to be just a few additional layers of a particular kind. No one can explain the actual mechanisms of how exactly or even why the layers are as they are (abstract bullshit aside). While the general idea was to mimic some specialized brain centers (the key to understand how it works), the actual code was merely “buffers”. ...