Introduction to Thompson Sampling: The Bernoulli Bandit (2017)(gdmarmerola.github.io)

50 points by pncnmnp 2 years ago | 11 comments

The Ken Thompson Hack(wiki.c2.com)

98 points by stephc_int13 2 years ago | 27 comments

Sampling and structured outputs in LLMs(parthsareen.com)

204 points by SamLeBarbare 1 year ago | 86 comments

Show HN: My related-posts finder script (with LLM and GPT4 enhancement)(tomhazledine.com)

55 points by tomhazledine 2 years ago | 16 comments

SciPy builds for Python 3.12 on Windows are a minor miracle(labs.quansight.org)

425 points by todsacerdoti 3 years ago | 225 comments

Quansight Labs blog post on how SciPy was built for Python 3.12 on Windows, including the move to the Flang Fortran compiler.

Monte Carlo Crash Course: Sampling(thenumb.at)

78 points by ibobev 1 year ago | 4 comments

Some critical issues with the SWE-bench dataset(arxiv.org)

331 points by joshwa 1 year ago | 113 comments

arXiv paper introducing SWE-Bench+, an empirical analysis revealing data quality issues in the SWE-bench coding benchmark for LLMs, such as solution leakage and weak tests.

An Introduction to Statistical Learning with Applications in Python(statlearning.com)

359 points by alexmolas 3 years ago | 65 comments

Official website for the textbook An Introduction to Statistical Learning, offering free downloads of the R and Python editions plus resources and errata.

Introduction to Modern Statistics(openintro-ims2.netlify.app)

665 points by noelwelsh 3 years ago | 116 comments

Website for the free online textbook Introduction to Modern Statistics, Second Edition, by Mine Çetinkaya-Rundel and Johanna Hardin from the OpenIntro project.

Deep Learning Is Not So Mysterious or Different(arxiv.org)

445 points by wuubuu 1 year ago | 112 comments

arXiv paper by Andrew Gordon Wilson arguing deep learning generalization phenomena like benign overfitting and double descent are explainable by soft inductive biases.

Stealing Reasoning Traces from Proprietary LLM APIs(stolen-thoughts.com)

665 points by quantumgarbage 2 months ago | 295 comments

Project page for a research paper on extracting hidden reasoning traces from proprietary LLM APIs, by authors from MATS, ELLIS, Max Planck and Tübingen.

Understanding Frontier Artificial Intelligence(casp.ac)

39 points by roversx 23 days ago | 39 comments

A research article from Cambridge's CASP programme, by many prominent AI researchers, examining what happens if automating AI R&D triggers an intelligence explosion.