Bad Apple!! CD+G on a karaoke machine
gashlin.net·1d·
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📦Nixos
Brute-forcing Langley’s geometry problem with field extensions
chiark.greenend.org.uk·4d·
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λFunctional Programming
Gemini Is 'Strict and Punitive' While ChatGPT Is 'Catastrophically' Cooperative, Researchers Say
404media.co·10h
λFunctional Programming
Dissertation Typesetting Considerations
tony-zorman.com·12h·
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🔍Parsers
Speeding Up My ZSH Shell
scottspence.com·1d·
Discuss: Hacker News
🏠Home Manager
Linux Kernel Patches Speed-Up CRC32 Performance For CPUs With "Good" AVX-512
phoronix.com·1d
🕸️WASM
Vibe-Coding AI "Panicks" and Deletes Production Database
xcancel.com·1d·
Discuss: Lobsters, r/programming
0️⃣Zero-Copy
Getting Started with Terraform: A beginner’s Guide
blog.devops.dev·8h
🏠Home Manager
TransEvalnia: Reasoning-based Evaluation and Ranking of Translations
arxiv.org·3d
λFunctional Programming
[D] Is transfer learning and fine-tuning still necessary with modern zero-shot models?
reddit.com·1d·
Discuss: r/MachineLearning
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This Entire Article About AI Video Creation Was Made Without a Camera (The 8th Wonder Method)
dev.to·5h·
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🔍Parsers
Lessons from the TREC Plain Language Adaptation of Biomedical Abstracts (PLABA) track
arxiv.org·20h
λFunctional Programming
The Chainsaw Metaphor: AI in software development represents an evolution, not a destructive revolution
dev.to·11h·
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🪶suckless
Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning
arxiv.org·20h
🔍Parsers
Just Dropped the Most Insane TRAE AI Tutorial 🧠⚡
dev.to·5h·
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λFunctional Programming
[R] Interesting paper on cost-aware prompt optimization (CAPO)
reddit.com·5d·
Discuss: r/MachineLearning
🪶suckless
Navigating the Landscape: Perl vs. Python vs. Bash in System Administration and Automation
dev.to·1d·
Discuss: DEV
🕸️WASM
Selective Embedding for Deep Learning
arxiv.org·20h
🔍Parsers
Multi-Centre Validation of a Deep Learning Model for Scoliosis Assessment
arxiv.org·20h
λFunctional Programming
Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries
arxiv.org·20h
🔍Parsers