Vibing a Non-Trivial Ghostty Feature
simonwillison.net·1d
🧪Binary Fuzzing
Satisfaction of Render Pipelines
azeemba.com·5h·
Discuss: Lobsters, Hacker News
🌊Stream Processing
Dealing with Eventual Consistency and Idempotency in projections
event-driven.io·1d·
Discuss: r/programming
🌊Stream Processing
Show HN: Using an LLM to sensibly sort a shopping receipt
treblig.org·3d·
Discuss: Hacker News
🔗Constraint Handling
Operable Software
ferd.ca·2d·
Discuss: Hacker News
👁️System Observability
The Pain Driven Workflow
magistr.me·3d·
Discuss: Hacker News
⚡Incremental Computation
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
arxiviq.substack.com·3d·
Discuss: Substack
💻Local LLMs
Stop Worrying and Love the Bomb
bitbytebit.substack.com·1d·
Discuss: Substack
⚙️Build Archaeology
Automated Spectral Fingerprint Deconvolution for Polymer Identification via Deep Oligomer Networks
dev.to·1d·
Discuss: DEV
🌈Spectroscopy
LLMs Learn to Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions
arxiv.org·2d
🔲Cellular Automata
The rapidly evolving field of artificial intelligence has le
dev.to·2d·
Discuss: DEV
🧭Content Discovery
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·2d·
Discuss: DEV
📊Multi-vector RAG
A Manifesto for the Programming Desperado
github.com·2d·
Discuss: Hacker News
💻Programming languages
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
🎵Audio ML
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·18h·
Discuss: DEV
🎵Audio ML
I Wrote 42 Books Using ChatGPT: Here's What I Learned About Prompting
dev.to·1d·
Discuss: DEV
⚡Proof Automation
Cactus Language • Semantics 2
inquiryintoinquiry.com·4d
🔢Denotational Semantics
h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning
arxiv.org·3d·
Discuss: Hacker News
✓Automated Theorem Proving
StruSR: Structure-Aware Symbolic Regression with Physics-Informed Taylor Guidance
arxiv.org·3d
🧠Machine Learning
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arxiv.org·3d
🔨Compilers