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Debian demands Rust or rust in peace for legacy ports
theregister.com·2d·
Discuss: Hacker News
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Independently verifying Go's reproducible builds
golangweekly.com·1d
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TestDriven.io: Cursor vs. Claude for Django Development
testdriven.io·7h
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Open Container Initiative "OCI" Runtime Spec v1.3 Released With FreeBSD Support
phoronix.com·1d
🕸️WASM
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DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
arxiv.org·1d
0️⃣Zero-Copy
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Efficient Test-Time Retrieval Augmented Generation
arxiv.org·1d
🔍Parsers
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Sprout by Edera: UEFI Bootloader in Rust
github.com·1d·
Discuss: Hacker News
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A Simple and Repeatable Approach to Evaluating LLM Outputs
dev.to·6h·
Discuss: DEV
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Will Developers Survive AI Takeover? Part 4: The Popstar Developer
dev.to·1h·
Discuss: DEV
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From Stack to Impact: What Actually Worked in My 3 AI Tool Sites
dev.to·1d·
Discuss: DEV
❄️Nix Flakes
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Agentic DevOps: I Let GitHub Copilot Run My Entire CI/CD Pipeline (And Lived to Tell the Tale)
dev.to·16h·
Discuss: DEV
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Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
arxiv.org·2d
🔍Parsers
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Thought-For-Food: Reasoning Chain Induced Food Visual Question Answering
arxiv.org·1d
λFunctional Programming
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Bridging Vision, Language, and Mathematics: Pictographic Character Reconstruction with B\'ezier Curves
arxiv.org·1d
🐫OCaml
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Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports
arxiv.org·1d
λFunctional Programming
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"Melodic Airways Transforming Flight Routes Into Music"
dev.to·16h·
Discuss: DEV
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ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbian
arxiv.org·1d
🔍Parsers
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Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
arxiv.org·1d
🔍Parsers
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Interpretable Heart Disease Prediction via a Weighted Ensemble Model: A Large-Scale Study with SHAP and Surrogate Decision Trees
arxiv.org·19h
λFunctional Programming
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AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
arxiv.org·1d
λFunctional Programming
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