The Rosetta Code of Being – When Philosophy Compiles Itself
ontocode.org·9h·
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🔧functional programming languages
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Correlation detection as a stimulus computable account for audiovisual perception, causal inference, and saliency maps in mammals
elifesciences.org·1d
🔄Async Rust
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The Best Steve Yegge Posts (2015)
sam-koblenski.blogspot.com·2d
🦀Rust
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Algorithmic Alchemy: Transmuting Dynamic Programming with Gradients by Arvind Sundararajan
dev.to·9h·
Discuss: DEV
🔧functional programming languages
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Reflections on Trusting Trust (1984)
web.archive.org·2d·
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🦀Rust
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Humans and neural networks show similar patterns of transfer and interference
nature.com·8h·
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🔧functional programming languages
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Doo: A Simple, Fast Programming Language Built on Rust and LLVM
news.ycombinator.com·1d·
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🦀Rust
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Searles's Chinese Room: Case study in philosophy of mind and cognitive science
cse.buffalo.edu·12h·
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🔧functional programming languages
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Fast Answering Pattern-Constrained Reachability Queries with Two-Dimensional Reachability Index
arxiv.org·21h
⚠️Error Handling
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Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation
arxiv.org·21h
🐪ocaml
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Show HN: Polyglot standard library HTTP client C/C++/Rust/Python and benchmarks
github.com·21h·
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🦀Rust
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The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs using Indian Riddles
arxiv.org·21h
🔧functional programming languages
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·21h
🐪ocaml
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Computation as a Game
arxiv.org·21h
🔧functional programming languages
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Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
arxiv.org·21h
🔧functional programming languages
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LangChain vs LangGraph: A Beginner’s Guide to Building Smarter AI Workflows
hackernoon.com·1d
🔧functional programming languages
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Aligning LLM agents with human learning and adjustment behavior: a dual agent approach
arxiv.org·21h
🔧functional programming languages
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7 Prompt Engineering Tricks to Mitigate Hallucinations in LLMs
machinelearningmastery.com·1d
⚠️Error Handling
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Planning > Agents: Getting Reliable Code from LLMs
repoprompt.com·23m·
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🦀Rust
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'No Free Lunch: Deconstruct Efficient Attention with MiniMax M2'
lmsys.org·1d
🦀Rust
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