Plan for Learning, Not Certainty
timcheadle.com·1d·
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📵Digital Minimalism
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"Our research is greatly sped up by AI but AI still needs us"
twitter.com·18h·
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Automated Theorem Proving
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De Bruijn Numerals
text.marvinborner.de·2d·
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🧮Lambda Calculus
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Thought Engineering
pranavc28.github.io·1d·
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Automated Theorem Proving
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Text rendering and effects using GPU-computed distances
blog.pkh.me·1h·
🔢Algebraic Data Types
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The Biggest Challenge in #80DaysOfChallenges… is a Lack of Challenges
dev.to·13h·
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⏱️Computational Complexity
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The case against boolean logic
abuseofnotation.github.io·2d·
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Existential Types
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Context-Bench: Benchmarking LLMs on Agentic Context Engineering
letta.com·1d·
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📚Automata Learning
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Opportunistically Parallel Lambda Calculus
dl.acm.org·1d·
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🔀OCaml Multicore
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[R] We found LRMs look great…until the problems get harder (AACL 2025)
reddit.com·1d·
🧮SMT Solvers
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3 Minutes to Start Your Research in Nearest Neighbor Search
romanbikbulatov.bearblog.dev·3d·
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⏱️Computational Complexity
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PORTool: Tool-Use LLM Training with Rewarded Tree
arxiv.org·1d
🧩Parser Combinators
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Generative AI, Simplicity, and Easiness
gioleppe.github.io·1d·
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📵Digital Minimalism
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Daily Artificial Intelligence Digest - Oct 31, 2025
dev.to·1d·
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📚Automata Learning
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Introducing Project Telos: Modeling, Measuring, and Intervening on Goal-directed Behavior in AI Systems
lesswrong.com·1d
🔄Finite State Machines
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In a First, AI Models Analyze Language As Well As a Human Expert
quantamagazine.org·1d·
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📚Automata Learning
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Fungus: The Befunge CPU(2015)
bedroomlan.org·17h·
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🔧Unikernel Development
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Minimal Sufficiency: A Principle ‘Similar’ to End-to-End
cacm.acm.org·1d·
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⚙️Operating System Design
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Learning from Failure to Tackle Extremely Hard Problems
blog.ml.cmu.edu·5d·
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📚Automata Learning
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