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AI-Driven Formal Theorem Proving in the Lean Ecosystem
leandojo.org·1d
🧮Theorem Provers
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Pokémon Team Optimization
nchagnet.pages.dev·1d·
Discuss: Hacker News
🐹Minimal Go
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Tackling Unmaintainable Complexity with Automation: Building a Multi-Tenant SaaS Solo
ko-chan.github.io·4h·
Discuss: DEV
🎮Language Ergonomics
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I'm looking for high-level evaluations for a private and unique heuristic logic engine.
reddit.com·1d·
Discuss: r/LLM
📊Datalog Engines
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A Validated Semantics for LLVM IR
sf.snu.ac.kr·9h
🔧LLVM IR
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the myth of multitasking and other things i learned today
lollar.bearblog.dev·2h
🌳Tree Walking
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LangChain & LangGraph: Beginner’s Guide to AI Workflows
javacodegeeks.com·1d
🌊Dataflow Languages
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Java Mastery: Rescue Princess with Conditional Execution and Student Score Ranking System
dev.to·3h·
Discuss: DEV
💬Interactive REPLs
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Validating AI output with consistency checks & formal proofs
johndcook.com·3d·
🧮Theorem Provers
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🎲 The Automatic Grover Algorithm
lucamarx.com·1d
🎯Bit-Vector Algorithms
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<p>**Abstract:** This paper introduces a novel framework, Automated Protocol Refinement for Enhanced Algorithm Validation (APREAV), to significantly improve the...
freederia.com·10h
🤖Abstract Machines
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Information, Physics, and Computation (Oxford Graduate Texts): Mézard, Marc, Montanari, Andrea: 8601410201722: Amazon.com: Books
amazon.com·1d
🎯Bit-Vector Algorithms
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jart/jtckdint: C23 Checked Arithmetic
github.com·1d
🧸Toy Compilers
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From Zero to QED: An informal introduction to formality in Lean 4
sdiehl.github.io·1d
🎯Symbolic Execution
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SMART SLM: Structured Memory and Reasoning Transformer, A Small Language Model for Accurate Document Assistance
arxiv.org·2d
🌱Minimal ML
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Prompts are becoming Code, but we still treat them like Strings
dev.to·13h·
Discuss: DEV
💬Interactive REPLs
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Introducing Pkl, a programming language for configuration
pkl-lang.org·1h
⚙️Configuration Parsing
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Your Team Uses AI. Why Aren't You 10x Faster?
bits.logic.inc·1h·
Discuss: Hacker News
🎭Program Synthesis
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Improved Simulation of Stabilizer Circuits
paperium.net·12h·
Discuss: DEV
Control Synthesis
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🪜Recursive Descent
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