Principles of Privacy by Design: Embedding Ethics and Trust into Every System
excelr.com·9h·
Discuss: DEV
Effect Inference
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Your Transformer is Secretly an EOT Solver
elonlit.com·2d·
Discuss: Hacker News
🪜Recursive Descent
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MCP standard
dev.to·8h·
Discuss: DEV
📡Protocol Parsers
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My ML Learning Journey: From Confusion to Building a Working Model
kaggle.com·2d·
Discuss: DEV
🌱Minimal ML
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Speedrunning an RL Environment
sidb.in·1d·
Discuss: Hacker News
Gleam
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Toward a Compressed Core of Human Knowledge: The High-Dimensional Vector Network for AI
reddit.com·7h·
Discuss: r/AfterClass
🤖Abstract Machines
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The Hidden DNA of LLM-Generated JavaScript: Structural Patterns EnableHigh-Accuracy Authorship Attribution
paperium.net·22h·
Discuss: DEV
🎮Language Ergonomics
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Chibi Izumi: Phased dependency injection for TypeScript
github.com·2d·
Discuss: Hacker News
🪆Embedded DSLs
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Writing an Asciidoc Parser in Rust: Asciidocr
bikesbooksandbullshit.com·22h·
Discuss: Hacker News
⚙️TOML Parsers
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A Short Introduction to Categorical Logic
youtube.com·3d
⚖️Inference Rules
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·18h·
Discuss: DEV
🌱Minimal ML
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Protest: An ergonomic, powerful, and feature-rich property testing library with minimal boilerplate.
reddit.com·1d·
Discuss: r/rust
🔒Rust Borrowing
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Cross-Platform Evaluation of Reasoning Capabilities in Foundation Models
arxiv.org·2d
🔶Lattice Theory
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build system tradeoffs
jyn.dev·1d·
🔗Language Toolchains
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🚀 Exploring Go’s Core Features in Depth
dev.to·11h·
Discuss: DEV
🐹Go Internals
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From Lossy to Lossless Reasoning
manidoraisamy.com·2d·
Discuss: Hacker News
🪜Recursive Descent
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🚀 TOON (Token-Oriented Object Notation) — The Smarter, Lighter JSON for LLMs
dev.to·9h·
Discuss: DEV
📋JSON Parsing
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Cells, Queries, and Chaos: The Game of Life in SQL!
dev.to·11h·
Discuss: DEV
📊Row Polymorphism
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A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining
paperium.net·1d·
Discuss: DEV
🌱Minimal ML
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Automated Anomaly Detection & Root Cause Analysis in Complex System Simulations via Adaptive Bayesian Networks
dev.to·1d·
Discuss: DEV
🚂Error Propagation
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