🔐 CBOR

Serialization Security, Binary Protocols, Data Interchange, Schema Validation

The Kepler Problem (Part 7)
johncarlosbaez.wordpress.com·1d
⚛️Quantum Codes
Published Recipe Agent
tersesystems.com·2d
🔄Sync Engine
Show HN: Rollback netplay for Game Boy emulator
blog.rekawek.eu·1d·
Discuss: Hacker News
🎯Emulator Accuracy
PDFsail Online PDF Tool
pdfsail.com·23h·
Discuss: Hacker News
🔄Document Workflows
How Turso made connections to SQLite databases 575x faster
turso.tech·1d·
Discuss: Hacker News
💾SQLite
QTractor GPL audio/MIDI sequencer
qtractor.org·2d·
Discuss: Hacker News
🎹MIDI Archaeology
Migrating to AI SDK v5: A Story of Tool Streaming, Caching, and Type Safety
braingrid.ai·4d·
Discuss: Hacker News
🔌Interface Evolution
How I Do Support and Community
pketh.org·2d·
Discuss: Hacker News
🌀Brotli Internals
Load Balancing for AI Training Workloads
arxiv.org·3h
⧗Information Bottleneck
Evaluating the cognitive reality of Spanish irregular morphomic patterns: Humans vs. Transformers
arxiv.org·3h
📼Tape Linguistics
AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models
arxiv.org·3h
📐Binary Grammars
Show HN: Tinycoder is a tiny provider-agnostic alt. to Codex/Code/Gemini CLI
github.com·2d·
Discuss: Hacker News
🎙️Whisper
Claude Code Pricing: Is the $200/mo Plan Worth It? (New Rate Limits Explained)
dev.to·9h·
Discuss: DEV
🌳Incremental Parsing
So I Quit $200k Job To Write A Framework
dev.to·5d·
Discuss: DEV
🌊Streaming Systems
Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks?
arxiv.org·1d
⚙️Compression Benchmarking
Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities
arxiv.org·3h
💻Local LLMs
How Token Development Services Power Next-Gen Utility Tokens
dev.to·1d·
Discuss: DEV
🔗Data Provenance
🛡️ PayShield: The Voice-Powered Shield Against $2.4B Daily Invoice Fraud
dev.to·2d·
Discuss: DEV
👂Audio Evidence
Offline AI on Mobile: Tackling Whisper, LLMs, and Size Roadblocks
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
How Nippon India Mutual Fund improved the accuracy of AI assistant responses using advanced RAG methods on Amazon Bedrock
aws.amazon.com·16h
📥Feed Aggregation