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Leo Gorodinski
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Leo Gorodinski
@eulerfx
Founder @CohesiveSystems, Prev: Co-Founder / CTO alvys.com @AlvysTeam, Engineer @JetTechnology
Del Mar, CA
cohesive.to
Joined May 2008
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  • user avatar
    Leo Gorodinski
    @eulerfx
    Jul 29
    The AI era has given formal methods a reemerging role. As code production becomes increasingly automated, formal methods are moving upstream, from verifying code to formalizing intent. The scarce resource is no longer writing software; it’s expressing precisely what the software
    user avatar
    Logic & Applications
    @LogicPractice
    Jul 29
    Why people don't use formal methods hillelwayne.com/post/why-dont-…
    309
  • user avatar
    Leo Gorodinski
    @eulerfx
    Jul 1
    Yes. Code is one projection of the system, not the system itself. Perhaps the better substrate is a semantic system graph: something both humans and models can interpret and edit, with source code, diagrams, docs, infra, and agent context generated as projections.
    user avatar
    John Carmack
    @ID_AA_Carmack
    Jul 1
    AI may move to directly generating binary code, but I suspect there are still advantages to reasoning in a different representation. Textual code is a flattening of an abstract syntax tree, and while LLMs produce tokens linearly, the prior context is only linearly connected by
    237
  • user avatar
    Leo Gorodinski
    @eulerfx
    Apr 30
    All three curves are called Cotes spirals, after Roger Cotes’ work on the inverse cube force law, published posthumously in 1722. Cotes seems to have been the first to compute the derivative of the sine function. After Cotes’ death at the age of 33, Newton supposedly said “If he
    user avatar
    SIAM Activity Group on Dynamical Systems
    @DynamicsSIAM
    Apr 29
    Expository article: "The Inverse Cube Force Law" (by John C. Baez): arxiv.org/abs/2604.24799 [Journal reference: Notices Amer. Math. Soc. 73 (2026), 402–403]
    231
  • user avatar
    Leo Gorodinski
    @eulerfx
    Apr 16
    “OLS regression is structurally a special case of a single-layer Linear Transformer.” “…spectral decomposition reveals that linear attention achieves the OLS projection in one forward pass, showing statistical inference to be Transformer’s intrinsic algebraic property” “the
    user avatar
    Stat.ML Papers
    @StatMLPapers
    Apr 16
    Ordinary Least Squares is a Special Case of Transformer ift.tt/h3UFDBs
    368
  • user avatar
    Leo Gorodinski
    @eulerfx
    Mar 24
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    Shubhendu Trivedi
    @_onionesque
    Mar 23
    Very interesting work arxiv.org/abs/2603.20071
    139
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