The Law of Living Layers: A Framework for Emergent AI Partnership
write.as·21h
🪄Prompt Engineering
The Category of Habitus (2015)
muse.jhu.edu·41m·
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🏛️Politics
Proficient Python, Enslaved Americans, Google Earth, More: Wednesday ResearchBuzz, June 25, 2025
researchbuzz.me·7h
📰Content Curation
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·5h
🧠LLM Inference
What Problems to Solve – By Richard Feynman
genius.cat-v.org·2h·
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⚛️Physics
Godel's Incompleteness Theorem
news.ycombinator.com·2h·
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🧮SMT Solvers
How effective are LLMs at translating heavy context-based languages like Japanese, Korean, Thai, and others?
reddit.com·12h·
Discuss: r/LocalLLaMA
🪄Prompt Engineering
Brains over bots: why toddlers still beat AI at learning language
eurekalert.org·4h
🛡️AI Safety
Judge sides with Anthropic on using books to train models
semafor.com·8h
🎭Claude
Gradient Descent on Token Input Embeddings: A ModernBERT experiment
lesswrong.com·18h
📊Embeddings
Portable Network Graphics (PNG) Specification (Third Edition)
w3.org·23h·
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🔤Font Rendering
Patching functions together
johndcook.com·3h
🔍AI Interpretability
BNFGen: A random text generator based on context-free grammars
baturin.org·1h·
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📝Text Parsing
Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes
arxiv.org·15h
🕯️Candle
The more LLMs think, the worse they translate
nuenki.app·7h·
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🏆LLM Benchmarking
Threaded Code
muforth.dev·8h·
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🪄Prompt Engineering
Announcing crabstep: A pure Rust, cross-platform, zero-dependency Apple/NeXTSTEP typedstream deserializer
github.com·2h
🦀Rust
MFTCXplain: A Multilingual Benchmark Dataset for Evaluating the Moral Reasoning of LLMs through Hate Speech Multi-hop Explanation
arxiv.org·15h
📋Text Quality
Divine Provenance
asimov.blog·22m·
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🏛️Politics
Mapped: Theories of Everything
quantamagazine.org·2h·
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⚛️Physics