Apple's AirPods 4 are up to 33 percent off right now
engadget.com·1d
🎵Audio Codecs
USB-C hubs and my slow descent into madness (2021) | Hacker News
news.ycombinator.com·21h·
Discuss: Hacker News
🔌Operating system internals
Show HN: Castream – Native iOS/Android IRL multistreaming app
news.ycombinator.com·1d·
Discuss: Hacker News
🎥Streaming Codecs
Microbrowsers Are Everywhere
24ways.org·5h·
Discuss: Hacker News
📰RSS Archaeology
Show HN: A rudimentary game engine to build four dimensional VR evironments
brainpaingames.com·6h·
Discuss: Hacker News
📟Terminal Physics
Approximate First Principal Component
30fps.net·2d·
Discuss: Hacker News
📐Vector Dimensionality
Distant Writing: Literary Production in the Age of Artificial Intelligence
papers.ssrn.com·2d·
Discuss: Hacker News
🏛Digital humanities
Tactical Trust (1 of 2): Platform Crypto for Developers
tiemoko.com·1d·
Discuss: Hacker News
🌳Archive Merkle Trees
‘I threw it in the bin with everything else he gave me’: the mix tapes that defined our lives
theguardian.com·3d
📼Cassette Culture
The Shame of “Alligator Alcatraz”
newyorker.com·2d
⭐Awesome lists
Integrating Model Context Protocol with Gemini: The Definitive Guide to Modern Tool Calling (Agentic-AI)
dev.to·7h·
Discuss: DEV
🔌Interface Evolution
USB-C audio in AirPods Max doesn't just sound great on paper: for me, Lossless audio quality finally makes them worth it
techradar.com·3d
💿FLAC Archaeology
DPNO: A Dual Path Architecture For Neural Operator
arxiv.org·1d
📊Quantization
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
arxiv.org·4d
🧠Machine Learning
Semantic-guided Fine-tuning of Foundation Model for Long-tailed Visual Recognition
arxiv.org·1d
📊Learned Metrics
Creating an AI Study Buddy Assistant with Google AI Studio
dev.to·1d·
Discuss: DEV
⚡Proof Automation
I think these cheap, comfy headphones mostly overcome their flaws in testing... bar one key area
techradar.com·1d
🎧Learned Audio
SIEVE: Effective Filtered Vector Search with Collection of Indexes
arxiv.org·2d
🗂️Vector Databases
Mastering Dimensionality Reduction: A Comprehensive Guide to PCA, t-SNE, UMAP, and Autoencoders
dev.to·2d·
Discuss: DEV
📐Vector Dimensionality
[D] Liquid neural networks on time series
reddit.com·1d·
Discuss: r/MachineLearning
🧠Machine Learning