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|    sci.physics    |    Physical laws, properties, etc.    |    178,769 messages    |
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|    Message 178,017 of 178,769    |
|    Mild Shock to Mild Shock    |
|    =?UTF-8?Q?L=e2=88=83=e2=88=80n_prover_do    |
|    16 Jul 25 12:10:47    |
      From: janburse@fastmail.fm              Hi,              Maybe somebody should tell Macron that there is       a Stargate project now. Instead using TurdPit for       human Trial & Error of chipmunks, Lean prover from       Microsoft has some interesting projects actually:              LeanDojo (Stanford / Meta AI collaborators)       Turns L∃∀n into a reinforcement learning environment for LLMs.       Train AI to interact with the L∃∀n prover like a human.       https://github.com/lean-dojo/LeanDojo              ProverBot9001       A transformer-based model that learns to generate       L∃∀n proofs. Focused on learning from L∃∀n's mathlib       and applying fine-tuned techniques.       Uses encoder-decoder LLMs and proof search.              Autoformalization of Math       Stanford, OpenAI, and DeepMind folks have tried       autoformalizing math text (LaTeX or natural language)       into L∃∀n. Ongoing effort to turn the “arxiv math paper” →       “Lean formal proof” into a pipeline.              GPT Agents for Lean       Some work on tool-augmented LLMs that run L∃∀n, read       the output, and continue the proof.       Think: GPT as an agent in a loop with L∃∀n — tries       a tactic, checks result, adapts.       Experimental, but shows promise.              Mathlib + tactic-state datasets       Hugely valuable structured data from mathlib for       training and evaluating AI models. Models can learn       by seeing before-and-after proof states. Some teams       are working on LLMs that can select the next tactic       by learning from these states.              Have Fun!              Bye              Mild Shock schrieb:       > Hi,       >       > Maybe they should double check what       > modern compilers do or what modern IDEs       > to in object orient programming languages.       >       > How it started:       >       > How to Make Ad Hoc Proof Automation Less Ad Hoc       > https://people.mpi-sws.org/~beta/lessadhoc/       >       > How its going:       >       > Optimizing Canonical Structures       > https://inria.hal.science/hal-05148851v1/document       >       > The original paper termed canonical structures,       > it has a nice visa à visa. “Type Class” Programming       > versus “Logic” Programming,       >       > giving it a less functional programming       > spin. But hell wasn't there Prolog++ already       > in the past?       >       > The newest paper shows new style of research,       > citing garbage tickets from TurdPit inside       > a paper, and just listing some further       >       > untested and shallow research Turds. Kind       > of institutionalize Trial & Error. They could       > equally well shoot their own Foot and       >       > then jump in circles.       >       > Bye              --- SoupGate-Win32 v1.05        * Origin: you cannot sedate... all the things you hate (1:229/2)    |
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