Intensional FOL over Belnap's Billatice for Strong-AI Robotics
arxiv.org·1h
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SAT Requires Exhaustive Search
link.springer.com·1d·
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How LLMs See the World
blog.bytebytego.com·1d
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We beat GPT-4o's baseline with a simple re-prompting loop
aimon.ai·6h·
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Analysing Snapshot Isolation
muratbuffalo.blogspot.com·15h·
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🏗️Enterprise Software Architecture
Detection Engineering: Practicing Detection-as-Code – Validation – Part 3
blog.nviso.eu·22h
🏗️Enterprise Software Architecture
Parallelization of cryptographic protocol analyzer Maude-NPA reduces analysis time, makes internet safer
techxplore.com·15h
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The Big Oops in Type Systems: This Problem Extends to FP as Well
danieltan.weblog.lol·5d·
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ECMA-262, 16th edition, June 2025
262.ecma-international.org·2d·
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LLMs Have a Heart of Stone: Demystifying the Soft Thinking Ability of Large Reasoning Models
arxiv.org·1h
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TokenSpan: Rethinking Prompt Compression with Aliases and Dictionary Encoding
dev.to·1d·
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🏗️Enterprise Software Architecture
Using Closures to Extend Class Behavior Without Breaking Encapsulation
hackernoon.com·9h
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Beyond the Wavefunction: Qualia Abstraction Language Mechanics and the Grammar of Awareness
arxiv.org·1h
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The problem with AI agent-to-agent communication protocols
infoworld.com·20h
🏗️Enterprise Software Architecture
PQCSA: A Gentle Introduction to Code Based PKE
esat.kuleuven.be·1d
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Help me understand what this guy means by LLMs and language?
arstechnica.com·15h·
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Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences
arxiv.org·1h
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Attention was never enough: Tracing the rise of hybrid LLMs
ai21.com·16h·
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LLMs as Context Synthesizers: Why Direct Instructions Don't Work
corewood.io·1d·
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L3M+P: Lifelong Planning with Large Language Models
arxiv.org·1d
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