Encrypting identifiers in practice
sjoerdlangkemper.nlยท13h
๐ŸŒŠStream Ciphers
The Bitter Lesson is coming for Tokenization
lucalp.devยท1dยท
Discuss: Lobsters, Hacker News, r/programming
๐Ÿ”—Monadic Parsing
How much slower is random access, really?
samestep.comยท2dยท
Discuss: Hacker News
๐Ÿ“ผTape Encoding
Distribution of codewords on the faces of a hypercube and new combinatorial identities
arxiv.orgยท1d
โšฝSphere Packing
Probabilistic and reinforced mining of association rules
arxiv.orgยท1d
๐Ÿง Learned Indexes
In which I write a library-quality B+ tree with the genies
tidyfirst.substack.comยท3hยท
Discuss: Substack
๐Ÿฆ€Rust Macros
A Briefing on Logistic Regression
blog.engora.comยท6hยท
Discuss: Hacker News
๐Ÿง Machine Learning
Ask HN: Feedback on "QSS" โ€“ A Quantized Vector Search Engine in C
news.ycombinator.comยท1dยท
Discuss: Hacker News
๐Ÿ—‚๏ธVector Databases
๐Ÿง  Solving LeetCode Until I Become Top 1% โ€” Day `30`
dev.toยท10hยท
Discuss: DEV
๐Ÿ“Error Bounds
What LLMs Know About Their Users
schneier.comยท7hยท
Discuss: Hacker News
๐Ÿ’ปLocal LLMs
Solving LinkedIn Queens Using Haskell
imiron.ioยท1dยท
Discuss: Lobsters, Hacker News, r/programming
ฮปLambda Formalization
Exploring Modern Warehousing and Data Mining
dev.toยท11hยท
Discuss: DEV
๐ŸงฌPostgreSQL Forensics
Computing Betti tables and minimal presentations of zero-dimensional persistent homology
arxiv.orgยท1d
๐Ÿ•ธ๏ธAlgebraic Topology
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.toยท4hยท
Discuss: DEV
๐Ÿง Machine Learning
CodeMorph: Mitigating Data Leakage in Large Language Model Assessment
arxiv.orgยท1d
๐Ÿ’ปLocal LLMs
Dual-Hierarchy Labelling: Scaling Up Distance Queries on Dynamic Road Networks
arxiv.orgยท1d
๐Ÿ“Range Queries
Weakly Private Information Retrieval from Heterogeneously Trusted Servers
arxiv.orgยท2d
๐Ÿ“ŠCompression Proofs
Contextualizing SUTRA: Advancements in Multilingual & Efficient LLMs
hackernoon.comยท2h
๐Ÿ’ปLocal LLMs
Compbolt: A lib with a hard to misuse API (based on Matt Godbolt)
github.comยท9hยท
Discuss: Hacker News
๐ŸŒ€Brotli Internals
The Power of Strong Linearizability: the Difficulty of Consistent Refereeing
arxiv.orgยท1d
๐ŸŽฏPerformance Proofs