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Towards Weak Stratification for Logics of Definitions
arxiv.org·5h
📝Term Rewriting
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How to Build Safe Natural Language-Driven APIs
techcommunity.microsoft.com·21h·
Discuss: Hacker News
🔤Kleene Algebra
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A vector logic for intensional formal semantics
arxiv.org·5h
Operational Semantics
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Lambda cube
en.wikipedia.org·2d·
Discuss: Lobsters
🧮Lambda Calculus
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On Goal-Models
lesswrong.com·1d
🔁Fixpoint Theory
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The Core Flaws of Modern AI based on Large Language Models (longpost)
bykozy.me·21h·
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📚Automata Learning
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Ellipsis and Higher-Order Unification
dev.to·1d·
Discuss: DEV
🔀Brzozowski Derivatives
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Functional Programming Bits in Python
martynassubonis.substack.com·1d·
λFunctional Programming
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Recent Advances in LLMs for Mathematics
youtube.com·1d·
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➡️Category Theory
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Show HN: 32KB deductive engine that catches LLM hallucinations
news.ycombinator.com·1h·
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🧮Z3
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De-mystifying Agentic AI: Building a Minimal Agent Engine from Scratch with Clojure
serefayar.substack.com·20h·
Discuss: Substack
LTL
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If You Tell AI Not to Do Something, It’s More Likely to Do It
unite.ai·20h·
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📚Automata Learning
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I built a free ML practice platform - would love your feedback [P]
reddit.com·2h·
🧮Z3 Solver
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# A New AI Architecture Without Prior Distributions: Stream-Based AI and Compositional Inference
dev.to·1d·
Discuss: DEV
📚Automata Learning
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Mad Rust: The JVM Developer's Journey. Kotlin/Java Developer's Road to Valhalla
sobolev.substack.com·14h·
Discuss: Substack
🔬Static Analysis
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Maiasa: A next-gen, fast, robust, ethical language model (that can only say "a")
maiasa.ai·18h·
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📚Automata Learning
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java sucks (2000)
jwz.org·16h·
Discuss: Lobsters
📝Nix Language
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Lessons learned from building AI analytics agents: build for chaos
metabase.com·19h·
Discuss: r/programming
🧩Parser Combinators
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Multi-layer defense for LLM agents inspired by immune systems (seeking critique)
gist.github.com·1h·
Discuss: Hacker News
🛡️seL4
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Taming the Flat AST: Ergonomics in the Age of Zero Allocations
modern-c.blogspot.com·15h·
🐫Embedded OCaml
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