Episode

Logic.py: Bridging the Gap between LLMs and Constraint Solvers with Pascal Kesseli

Podcast
Boston Computation Club
Published
Mar 9, 2026
Duration seconds
3423
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/bostoncc/episodes/Logic-py-Bridging-the-Gap-between-LLMs-and-Constraint-Solvers-with-Pascal-Kesseli-e3g53fo
Audio
https://anchor.fm/s/5eee01ac/podcast/play/116607928/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-2-9%2F419586621-44100-2-dccb0dd1101e1.mp3
JSON
/v1/public/podcasts/boston-computation-club-4031660/episodes/logic-py-bridging-the-gap-between-llms-and-constraint-solvers-with-pascal-kesseli
Markdown
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Summary

Pascal Kesseli is a software engineer and technical lead at Microsoft AI, with a PhD in Computer Science from Oxford (or a DPhil? Or whatever they call PhDs on that side of the pond). Today Pascal joined us to discuss work he completed while at META FAIR, focused on the conjoining of large language models with symbolic reasoning systems (ultimately, dispatch to SAT) as well as future research directions building on said work.