Anthropic destroyed millions of physical books to train its AI, court documents reveal
techspot.com·48m
⚖️Emulation Ethics
Show HN: Requests-Based Google Maps Scraper
apify.com·20h·
Discuss: Hacker News
🔍BitFunnel
Using LLMs in CI/CD for semantic testing of web content
plo.ug·1h·
Discuss: Hacker News
⚡Proof Automation
Announcing crabstep: A pure Rust, cross-platform, zero-dependency Apple/NeXTSTEP typedstream deserializer
github.com·23h
🔒Linear Types
Reverse Engineering the Microchip CLB Part 1: Background and Reverse Engineering the BLEs
mcp-clb.markomo.me·10h·
Discuss: Lobsters, Hacker News
🔬Binary Analysis
Unlock deeper insights with the new Python client library for Data Commons
developers.googleblog.com·33m
🏷️Metadata Standards
9 Nerdy Ways to SSH into a Server
adaptive.live·8h·
Discuss: Hacker News
🔌Operating system internals
RAG Blueprint
docs.vespa.ai·2h·
Discuss: Hacker News
🤖Archive Automation
Hey Devs! This is our first post — meet All Voice Lab!
dev.to·7h·
Discuss: DEV
🎙️Whisper
SSAVSV: Towards Unified Model for Self-Supervised Audio-Visual Speaker Verification
arxiv.org·2d
🎵Acoustic Fingerprinting
Cost-Effective Optimization and Implementation of the CRT-Paillier Decryption Algorithm for Enhanced Performance
arxiv.org·2d
🔢Bitwise Algorithms
Automating CSV Data for Reliable API Testing
dev.to·8h·
Discuss: DEV
🔌Archive APIs
Who are your MCP servers talking to?
dev.to·1h·
Discuss: DEV
📦Container Security
Interpretable and Granular Video-Based Quantification of Motor Characteristics from the Finger Tapping Test in Parkinson Disease
arxiv.org·1d
📺yt-dlp
Fast entropy-regularized SDP relaxations for permutation synchronization
arxiv.org·12h
🎯Performance Proofs
Digital Forensics Round-Up, June 25 2025
forensicfocus.com·1d
🔬Archive Forensics
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models
arxiv.org·12h
🤖Advanced OCR
[$] Supporting kernel development with large language models
lwn.net·1h
💻Local LLMs
Fully lifted \emph{blirp} interpolation -- a large deviation view
arxiv.org·1d
🌀Fractal Compression
Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
arxiv.org·12h
🔒Privacy Preserving