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Show HN: Building a web search engine from scratch with 3B neural embeddings(blog.wilsonl.in)
578 points by wilsonzlin | 97 comments
Wilson Lin's blog post describing how he built a web search engine from scratch in two months using 3 billion neural embeddings.
Related stories
AI has access to a vastly larger working memory than the human brain(davidepiffer.com)
524 points by rzk | 452 comments
A Substack essay by Davide Piffer arguing that AI's edge over mathematicians comes from a vast symbolic working memory rather than superior reasoning.
Deep Learning Is Not So Mysterious or Different(arxiv.org)
445 points by wuubuu | 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.
Some critical issues with the SWE-bench dataset(arxiv.org)
331 points by joshwa | 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.
There Will Be a Scientific Theory of Deep Learning(arxiv.org)
320 points by jamie-simon | 142 comments
An arXiv position paper arguing that a scientific theory of deep learning is emerging, surveying five strands of research such as solvable models, scaling limits, and universal behaviors.
The Future Is Niri(ersei.net)
388 points by mattjhall | 202 comments
A personal blog post giving the author's opinion on the Niri scrollable tiling Wayland compositor after years of using Sway and i3.
So you want to parse a PDF?(eliot-jones.com)
369 points by UglyToad | 199 comments
Blog post by Eliot Jones explaining how PDF parsing should work per the spec, covering headers, cross-reference tables, object offsets and trailers, and its real-world pitfalls.