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sebszyller.com | Blog

Trustworthy ML Is a Kitchen Sink Best Practices for a New Research Project Repo in 2026 Fairness Is Hardly About DEI DeepSeek Drama -- Model Watermarking to the Rescue Open Weights Have Nothing to Do with Open Source Learning Rust with Large Language Models (Part III): Finding a Needle in a Haystack Learning Rust with Large Language Models (Part II): an Outdated Manual Written by a Newbie Food Markets Are a Bad Analogy for Data Marketplaces Learning Rust with Large Language Models (Part I): a Project for 2024 No One Cares About Large Language Models Anymore Content Provenance Needs Critical Mass Data Marketplaces for Individuals (Still) Don't Make Sense The Security Through Obscurity Moment of Large Language Models... and Money Finding the Beauty in the Imperfections of Generative Art Can You Spot a Deepfake? Kosher Data for Your Ethical Needs Why Synthetic Data Is Not Private Data Marketplaces for Individuals Don't Make Sense On the Difficulty of Cross-disciplinary Communication Whose Model Is It Anyway?
Looking Back at Learning Rust with LLMs: Works 100% of the Time... 50% of the Time
Sebastian Szyller · 2026-01-19 · via sebszyller.com | Blog
In 2024, I had a mixed experience of learning Rust with LLMs. Suffice to say, things have changed a lot since…