Bullshit

Sometimes, when I do not know what to do with myself I re-watch some lectures for this or that online course on Youtube. Better than doom-scrolling crap, I guess. Something similar to that Bladerunner 2049 part, where they watched old Elvis as a hologram. Today it was the 'Lecture 2 ｜ Machine Learning (Stanford) [5u4G23_OohI].mp4' (of the old CS229, on a blackboard). If you watch this think of Tyson in a gym before he became the world champion. The comparison is in how much talent one has to have and then what one can achieve. ...

Recently I’ve re-watched some of “iconic” (LMAO) @karpathy videos, and saw (again) a lot of very fast hand-waving (literally!) when it he tried to explain the whys behind so called multi-head attention, self-attention and all the catchy memes created by disconnected from reality cocky NLP guys. I have seen this before. There is a typical, canonical, if you will, social construct called Mandala, being usially expressed as a paining caleld Tanka. ...

M6 supports up to 32GB of unified memory to multitask across demanding apps and run LLMs on device for secure and private agentic tasks. It also provides up to 170GB/s of unified memory bandwidth — a 10 percent increase over M5 and a 2.5x increase over M1. This is bullshit, of course. It won’t even run the Qwen3.6-27B-Q8_0.gguf, leave alone the gemma-4-31B-it-Q8_0.gguf. We don’t even talk about F16.

To succeed in this racket one has to have at least one favorable genetic trait or predisposition. I have none of those. I am prone to an adult ADHD-like conditions, have very narrow attention window and could barely hold 5 chinks of information instead of 7. I am easily distracted, even by large flies, and it takes very long time to restart anything, losing most of the previously build “context”. I could even put together a plausible naive biological model, where neuro-modulators, stress hormones and anxiety in general plays a central role… but I won’t. ...

So, it feels like it’s time to write again, to see where we actually are at. Recently there were two big events related to the LLMs. First one is the “discovery” of a counter-example for the famous conjuncture (and the large blog post by Terence Tao, that he could have discovered it too, LOL). Another one was the “hack” of bitcoin “hardware” wallets, not the hack itself (it is rather “simple”) but the fact that, allegedly, an LLM with a given prompt like “find a security weakness in this code” (not even a “vulnerability”) have managed to find the exact RNG bug (reduction of the entropy size form the “safe” 128 bits from a hardware RNG to a “weak” 40 bits of flawed software RNG, so the attackers are just brute-forcing the 40bit “state space” and find the keys). ...

When they began to feed the generated slop back to the models, they deepen the “fundamental problem” even further. The most recent models produce an excelent verbiage but the code is out of sync with it. This fact is very easy to undestand and explain – the verbiage and the code live in the very different “regions” of the model’s representation (weight matrix or whatever it is) and these regions are getting tuned (reinforced) at a very different rates and thus do not converge as they are expecting. ...

Look, ma – no hands^W^W another one, who knows it all: https://www.0xkato.xyz/how-llms-actually-work/ I am so fucking tired of this shit, don’t you? Okay, even if arguing with retards is ultimately futile, and especially so in the society which does not value intelligence, but only appearances and virtue signalling, lets continue competing in our sport of choice while we still can. No one understands this shit, since the very process by which the artifact in question has emerged is, in principle, by definition, different from the post-hoc “explanations” and anthropomorphic “rationalizations” which plague such “literature”. ...

After the “Sentient Models” has been booed by very few remaining intelligent people they resorted to a the next best meme – their AI is improving itself (recursively, my ass). https://www.anthropic.com/institute/recursive-self-improvement Notice that this has almost nothing to do with the actual underlaying tech, except that the models are being feed with their own slop for the Reinforcement Learning and as new data, and has everything to do with the upcoming IPO – look, AI writes itself, what can possibly go wrong – buy our shit. ...

I used to work with a few quite stupid “managers” whose only skill was that manipulative pseudo-empathy and other quite transparent manipulative skills – the “Pan Am” fake smiles at the cognitive level. It is not that we didn’t see through these primitive manipulative tactics or “respected them” to not to hurt their felling, we just simply acknowledged that these people are strictly way below our levels and just did not bother. These managers, by the way, are still cock sure of their cleverness and their abilities “to manage people efficiently” and that no one sees how they do it. ...

This is not mere a hatespeech, this is the actual fact. Here is how it works. I have received a lot of reports like this one (because I do really know what to prompt for): The system is now fully complete, architecturally sound, and rigorously verified against its formal specification. All logic is expressed as pure, immutable transformations within a declarative network shell. #+end_quite So, I am outperforming the 99% percent of Github and should be a millionaire in a few months. Or, perhaps, something is fishy out there. ...