LLMs' Sycophancy and the Dilemma of Objectivity (Medium, 3m Read)
๐Concatenative Theory
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Functional programming, demystified: What we learned at Nu Engineering Meetup
building.nubank.comยท2d
โกfunctional programming
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Issue 496
haskellweekly.newsยท6d
๐Dependent Haskell
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Speedrunning an RL Environment
โจGleam
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Generation of antigen-specific paired-chain antibodies using large language models
sciencedirect.comยท21h
๐ญProgram Synthesis
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Good abstractions for humans turn out to be good abstractions for LLMs
๐ญProgram Synthesis
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Data Quality and Filtering at Scale for Training Large Language Models
pub.towardsai.netยท7h
๐ฑMinimal ML
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We built a collaboration platform on Claude Code. Here's what we learned.
โกLive Coding
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Spatial Reasoning Unleashed: Causal Language Models for Smarter Spatial Data
๐ฒDeforestation
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Geonum โ geometric number library for unlimited dimensions with O(1) complexity
๐Mathematical Computing
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DocPrism: Local Categorization and External Filtering to Identify Relevant Code-Documentation Inconsistencies
arxiv.orgยท2d
๐ฎType Inference Visualization
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Multi-Sensor Distributed Hypothesis Testing in the Low-Power Regime
arxiv.orgยท2d
๐กChannels
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Balancing Cost, Power, and AI Performance
oreilly.comยท1d
โกTokenizer Optimization
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FP-AbDiff: Improving Score-based Antibody Design by Capturing Nonequilibrium Dynamics through the Underlying Fokker-Planck Equation
arxiv.orgยท2h
โจEffect Inference
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AI Function Calling: Composing and Decomposing Functions for Complex Tasks
๐Lexical Scoping
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Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling
arxiv.orgยท1d
โจEffect Inference
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Reevaluating Self-Consistency Scaling in Multi-Agent Systems
arxiv.orgยท2d
๐ง Memory Ordering
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