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🧠 Intelligence Compression

Kolmogorov Complexity, Understanding Measurement, Cognitive Metrics, Information Efficiency

Extracting Data From AI Models: A Tale of Three Approaches
blog.scottlogic.com·3d
🌳Incremental Parsing
Why LLMs may make monkeys out of us
comment.org·14h·
Discuss: Hacker News
📼Cassette Linguistics
Controlled Unease with AI Coding
denismaciel.com·19h·
Discuss: Hacker News
⚡Proof Automation
Show HN: UniversalBit – A new binary protocol to connect voice, video and DNA
github.com·1d·
Discuss: Hacker News
👂Audio Evidence
Clarifying "AI First" – What It Means for Rsyslog
rsyslog.com·1d·
Discuss: Hacker News
👁️System Observability
Optimizing Tool Selection in LLM Workflows(Part 2): A DSPy and PyTorch Benchmark
viksit.substack.com·2d·
Discuss: Substack
✨Effect Handlers
Mastering Investment Banking in 2025: Essential Trends, Cutting-Edge Tools, and Proven Strategies
dev.to·8h·
Discuss: DEV
🌊Stream Processing
Bolt.new top 50 AI driven app builders (until 51 go live)
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Lumo by Proton: The Privacy-First AI Assistant That Respects Your Data
dev.to·2d·
Discuss: DEV
💻Local LLMs
AI Language Models in 2025: Trends, Tools, and Use Cases
dev.to·1d·
Discuss: DEV
🎙️Whisper
How I Built a Talking, Knowledgeable AI Sidekick (and How You Can too build a Voice AI RAG agent )
dev.to·1d·
Discuss: DEV
🎙️Whisper
🚀 Smart Dev Productivity Hub: AI-Powered Insights & Automation for Developers
dev.to·1d·
Discuss: DEV
🦀Rust Macros
Ask HN: Are AI Dev Tools Ready for Production? What Limitations Are You Seeing?
news.ycombinator.com·19h·
Discuss: Hacker News
🔌Interface Evolution
DFQ-ViT: Data-Free Quantization for Vision Transformers without Fine-tuning
arxiv.org·4d
📊Quantization
Towards Microgrid Resilience Enhancement via Mobile Power Sources and Repair Crews: A Multi-Agent Reinforcement Learning Approach
arxiv.org·1d
🤝Consensus Networks
What Vibe Coding Actually Looks Like for a Senior Engineer
dev.to·2d·
Discuss: DEV
⚡Proof Automation
Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning
arxiv.org·4d
🧠Machine Learning
Python Fundamentals: collections module
dev.to·5h·
Discuss: DEV
🌀Brotli Internals
The Genie's Curse: My Month with AI-Augmented Coding
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Smart Routing Saved Exa 90% on LLM Costs
inference.net·3d·
Discuss: Hacker News
🌀Brotli Internals
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