Linkdump No 64
82mhz.net·5d
🔌Operating system internals
Show HN: Lotas – Cursor for RStudio
lotas.ai·1d·
Discuss: Hacker News
✨Effect Handlers
We Need a European Sovereign Tech Fund
github.blog·5h·
Discuss: Hacker News
🔓Open Source Software
SoftBank and Open AI's $500 Billion AI Project Struggles To Get Off Ground
slashdot.org·1d
🎯Emulator Accuracy
Unsupervised Learning NO. 490
newsletter.danielmiessler.com·1d
🖥️Terminal Renaissance
Logistic Regression Applied to Baseball Data
runningonnumbers.com·21h·
Discuss: Hacker News
🧮Kolmogorov Bounds
Trying out the OrangePi RV2 and fixing a kernel bug
hydrogen18.com·1h·
Discuss: Hacker News
🔌Single Board PC
H-Nets – The Past
goombalab.github.io·3d·
Discuss: Hacker News
🧠Machine Learning
OpenAI pushes ahead with Stargate as SoftBank remains absent from data center development
the-decoder.com·21h
💿ZFS Archaeology
ld-decode: Software defined LaserDisc decoder
github.com·3d·
Discuss: Hacker News
📼Cassette Archaeology
Fund scholars who tackle urgent issues — from misinformation to error spotting
nature.com·1d
🔬Academic Search
Study finds news releases written by humans more credible than AI content
phys.org·19h
📰Content Curation
Machine Learning Fundamentals: dimensionality reduction
dev.to·6d·
Discuss: DEV
📐Linear Algebra
Estimating Cognitive Effort from Functional Near-Infrared Spectroscopy (fNIRS) Signals using Machine Learning
arxiv.org·2d
🧠Intelligence Compression
Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need
arxiv.org·2d
🗺️Competency Maps
Mixture of Recursions vs. Transformers: Efficiency Unlocked
algogist.com·1d·
Discuss: Hacker News
⚡Incremental Computation
A leave-one-out approach to approximate message passing
arxiv.org·1d
🧮Kolmogorov Complexity
A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction
arxiv.org·1d
🧠Machine Learning
The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models
arxiv.org·9h
🎙️Whisper
Machine Learning Fundamentals: dimensionality reduction with python
dev.to·5d·
Discuss: DEV
🧠Machine Learning