Grammatical Structure and Grammatical Variations in Non-Metric Iranian Classical Music
arxiv.org·1d
🎼Computational Musicology
Issue 481
haskellweekly.news·5h
🔗Functional Compilers
Training a Chunker with Burn
elijahpotter.dev·20h·
Discuss: Hacker News
📝Concrete Syntax
2025-07-16: Understanding Hallucination in Large Language Models: Challenges and Opportunities
ws-dl.blogspot.com·17h·
Discuss: ws-dl.blogspot.com
✨Effect Handlers
Philips Hue White Ambiance is actually terrible…
wejn.org·3h
🔓Reverse engineering
From Paper to Proof: How We Can Formally Verify Blockchain Protocols with Lean4
medium.com·4h·
Discuss: Hacker News
🤝Distributed Consensus
Python Fundamentals: case
dev.to·4h·
Discuss: DEV
✅Format Verification
ChatGPT is not AI
newsletter.techworld-with-milan.com·2h
🎙️Whisper
What can we expect of LLMs as Software Engineers?
chelseatroy.com·2d
📝Text Parsing
Types That Count: Journey across Qualitative and Quantitative Intersection Types
iris.unito.it·2d·
Discuss: Hacker News
🔍Type Inference
Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification
arxiv.org·13h
📏Linear Logic
JavaScript Microtasks: A Comprehensive Guide the Event Loop
codedynasty.dev·1d·
Discuss: Hacker News
🌊Stream Processing
Regex Is a 70-Year-Old Dinosaur—Here’s the Modern Alternative
hackernoon.com·10h
🔍RegEx Engines
Cheating? Or the acumen of modern programming? FOSS, "AI", and human conscience
gist.github.com·15h·
Discuss: Hacker News
🔗Concatenative Programming
Unlock Gemini’s reasoning: A step-by-step guide to logprobs on Vertex AI
developers.googleblog.com·20h
⚡Proof Automation
Boffins detail new algorithms to losslessly boost AI perf by up to 2.8x
theregister.com·7h·
Discuss: Hacker News
💻Local LLMs
Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis
arxiv.org·13h
🧮Kolmogorov Complexity
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment
towardsdatascience.com·2d
🧮Kolmogorov Bounds
Finding Order-Preserving Subgraphs
arxiv.org·1d
🕸️Graph Algorithms
SurgeryLSTM: A Time-Aware Neural Model for Accurate and Explainable Length of Stay Prediction After Spine Surgery
arxiv.org·13h
🧠Machine Learning