Patents are rarely what they seem to be
substack.techreflect.org·2d
🍎Apple Computing
Testing RSX on the ENC28J60
pdp2011.sytse.net·1d
📺VT100 Emulation
On This Day in Math - August 21
pballew.blogspot.com·1d·
Discuss: www.blogger.com
📐Mathematical Art
Why Paying Copyright Holders for AI Training is Essential
fastly.com·2d
🤖AI Curation
Pegula/Draper v Swiatek/Ruud: US Open mixed doubles semi-finals – live updates
theguardian.com·1d
📋PREMIS Events
SchemaCrawler – Free database schema discovery and comprehension tool
schemacrawler.com·2d·
Discuss: Hacker News
🔄Schema Evolution
Show HN: Serverless platform for running voice AI agents
blog.livekit.io·1d·
Discuss: Hacker News
🌊Streaming Systems
N.S.A.’s Acting Director Tried to Save Top Scientist From Purge
nytimes.com·1d·
Discuss: Hacker News
🛡Cybersecurity
Why are people excited about the GPT-5 router?
theahura.substack.com·1d·
Discuss: Substack
📞WebRTC
Practical Lessons Learned Using Claude Code to Automate Integrations
petercto.substack.com·1d·
Discuss: Substack
🤖Network Automation
What Debugging JavaScript on WebAssembly Looks Like
thenewstack.io·1d
🕸️WebAssembly
Using pollen to make paper, sponges, and more
arstechnica.com·1d
📜Document Physics
Judge shoots down Trump DOJ bid to unseal Epstein grand jury notes as ‘diversion’ from releasing real Epstein files
the-independent.com·1d
⚖️Legal Compliance
Can AI Agents Fix The Internet’s Trust Problem?
hackernoon.com·1d
🤝Distributed Consensus
AI will create a near-term socioeconomic gap among knowledge workers
ericdodds.com·1d·
Discuss: Hacker News
🤖AI Curation
Quantization Meets Spikes: Lossless Conversion in the First Timestep via Polarity Multi-Spike Mapping
arxiv.org·1d
🧠Neural Compression
AI or Obsolete: Why Developers Need AI in Their Workflow
dev.to·16h·
Discuss: DEV
🔄Language Evolution
Code Smell 308 - The Key to Safer, Cleaner, More Polymorphic Code
hackernoon.com·4d
🎯Gradual Typing
CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection
arxiv.org·4d
🧪Binary Fuzzing
Quantifying Loss Aversion in Cyber Adversaries via LLM Analysis
arxiv.org·2d
🎯Threat Hunting