Intimate conversations with AI chatbots were visible to everyone
heise.deยท17h
๐Ÿ”“Hacking
The story of Bram Cohen and the BitTorrent protocol
xda-developers.comยท15h
๐ŸŒŠBitTorrent
Not Another GPT Wrapper
genorimo.comยท25mยท
Discuss: Hacker News
๐ŸŒ€Brotli Internals
RND1: Simple, Scalable AR-to-Diffusion Conversion
radicalnumerics.aiยท2dยท
Discuss: Hacker News
๐Ÿ’ปLocal LLMs
Making performant Python bindings to compiled code
kylebarron.devยท4dยท
Discuss: Hacker News
๐Ÿฆ€Rust Macros
SSH Security: Why You Should Touch to Verify
ubicloud.comยท1dยท
Discuss: Hacker News
๐Ÿ”’Hardware Attestation
The Wild Vibe
jarv.orgยท11hยท
Discuss: Hacker News
๐ŸŒ€Brotli Internals
The Conveyor Belt Protocol: Understanding Iterators
dev.toยท1dยท
Discuss: DEV
๐ŸงฌFunctional Programming
Debugging Humidity: Lessons from deploying software in the physical world
physical-ai.ghost.ioยท1dยท
Discuss: Hacker News
๐Ÿ›ก๏ธError Boundaries
Automated Design of Peptide-Based Drug Candidates via Constrained Generative Adversarial Networks
dev.toยท23hยท
Discuss: DEV
๐Ÿ”Vector Forensics
Day 27 of My 90 Days Python Series โ€” Random Fun Fact Generator ๐Ÿš€
dev.toยท2dยท
Discuss: DEV
โšกProof Automation
Fixed Points and Stochastic Meritocracies: A Long-Term Perspective
arxiv.orgยท2d
๐Ÿ”ฒCellular Automata
From Sunlight to Insights: A Python-Powered Dive into Solar Energy Data
dev.toยท20hยท
Discuss: DEV
๐Ÿ“ˆTime Series
Optimal Stopping in Latent Diffusion Models
arxiv.orgยท2d
๐Ÿง Machine Learning
LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation
arxiv.orgยท2d
๐Ÿง Learned Codecs
Tech With Tim: How to Build AI Agents in Python
dev.toยท22hยท
Discuss: DEV
๐Ÿค–AI Curation
The Day the CEO of Meta Stopped to Like My Vision
hackernoon.comยท13h
๐Ÿš€Indie Hacking
Dynamic Power Allocation for High-Bandwidth USB-C Alt Mode Displays using Reinforcement Learning
dev.toยท11hยท
Discuss: DEV
๐ŸŽฏEmulator Accuracy
On the Pure Quantum Polynomial Hierarchy and Quantified Hamiltonian Complexity
arxiv.orgยท3d
โš›๏ธQuantum Algorithms
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arxiv.orgยท3d
๐Ÿ”จCompilers