AI

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, there is the “biological” and “evolutionary” convergence. What does it mean to “know” something, and what is worth knowing? I have seen very nice guys who know very long, elaborage mantras and can recite then verbatim. Notice that unlike sutras, which are versed human languages, matras are just rythmical sounds, which does not translate into any vocabulary or any semantic meaning. One could, instead, by systematic repetitive exposure, memorize some concepts of very abstract branch of so-called moral or political “philosophy”, or some primitive abstract doctrine, such as Marxism or Non-Duality (Advaita). Would this be qualitatively “better” or just equivalent? ...

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. ...

So, let’s see. Since my last summary nothing has been changed much, except the US stock market, Nasdaq100 and S&P500, in particular, are printing ATHs every single day and MU and DELL, and even INTC and AMD – you can see it yourself. On the other side Anthropic emerged as a true leader in the armrace [to the bottom] since their code slop generator is qualitatively better than Gemini – the closes competitor. Everything else is just bullshit (both ChatGPT and Grok are, indeed, merely Infotainment chatbots). ...