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RDTvlokip

AI & ML interests

I'm builds complete AI systems from the ground up, tokenizers, search engines, and small-scale language models to investigate, through exact mathematics and public experimentation, how language and intelligence emerge from minimal resources and pure signal.

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posted an update about 1 hour ago
I published a second article about a reader taking apart four of my numbers. He came back a fifth time, and went to the experiment that had never run. He found the one derived threshold in it was built on a sample maximum. He was right, and there was worse. That maximum cannot converge, because the codes I wanted to declare unreachable are themselves inside the null distribution. Its supremum is exactly the value I was excluding. So I ran the whole thing. Seven questions in one day, in a world of 27 referents small enough that the optimum, the null distribution and the gradient are computed rather than estimated. The certificate carrying the project does not survive two agents. A symmetry argument replaces it, with a corollary I did not expect: a free per-object embedding table cancels in advance anything the message structure could contribute. No training trick recovers it. You can check that by reading an architecture, without running it. Eight of my hypotheses died that day. Not one was an arithmetic error. Then I did the literature review, last, and found the argument published in 2021. The real lesson: Shrinking a world until everything is exact removes one class of mistake and leaves untouched the class that was doing the damage. Twenty minutes of searching would have saved a day of deriving. What caught my errors was never the exactness. It was an outside reader, a second route to the same number, and predictions written down before measuring. Code, every number including the ones I would have cut, and sixteen dated refutations 👇 🔗 https://huggingface.co/blog/RDTvlokip/i-made-my-world-small-enough-to-compute-everything 💻 https://github.com/RDTvlokip/RDTRL 📦 https://doi.org/10.5281/zenodo.21726216
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