Would your speech make a professional’s top 10?
ft.com·15h
🗣️CMU Pronouncing
<p>There was talk of journalling in the Hemispheric View&rsquo;s Discord and it got me curious at Apple Journals. When that first came out it was iPhone only, a...
lmika.org·21h
🍎Apple Archive
Crystal Kit
rastamouse.me·1h
🌐WASI
How to User Sound Sensors with Arduino - Lesson #11
hackster.io·7h
🎵Gameboy Sound
Building a VHF / LoRa APRS Bridge | F4FXL
f4fxl.org·2d
📻Homebrew Protocols
The IP risks of LLMs at work are nontrivial
augmentedswe.com·4h·
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🔄Language Evolution
State of Opinion – Programming Languages – Autumn 2025 Edition
xlii.space·1d·
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🔗Concatenative Languages
Building Decentralized Prediction Markets Across Three Blockchains With Myriad Protocol
hackernoon.com·9h
🤝Distributed Consensus
MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
arxiv.org·2d
🧠Learned Codecs
Stress-Testing Model Specs Reveals Character Differences among Language Models
arxiv.org·2d
📋Document Grammar
Latest Software Development News: Mid-October 2025 Roundup
dev.to·16h·
Discuss: DEV
🔄Language Evolution
AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
arxiv.org·2d
⚙️Compression Benchmarking
Know Audio: Distortion Part Two
hackaday.com·6d
🌈Spectral Audio
[R] How to retrieve instructions given to annotators - RLHF
reddit.com·2d·
Discuss: r/MachineLearning
📚Documentation Archaeology
You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
arxiv.org·5d·
Discuss: Hacker News
🦠Parasitic Archives
Homomorphism Problems in Graph Databases and Automatic Structures
arxiv.org·2d
🔗Graph Isomorphism
From Keywords to Clusters: AI-Driven Analysis of YouTube Comments to Reveal Election Issue Salience in 2024
arxiv.org·2d
📊Feed Optimization
Making Machines Sound Sarcastic: LLM-Enhanced and Retrieval-Guided Sarcastic Speech Synthesis
arxiv.org·3d
🎙️Whisper
Enhancing Synthetic Data Generation via Adaptive Kernel Density Estimation with Bayesian Optimization
dev.to·3d·
Discuss: DEV
🧠Machine Learning
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG