How much disorder is there in a descending run?
morwenn.github.io·3d·
Discuss: Hacker News
🧮Kolmogorov Complexity
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The Power of Limit Thinking
press.asimov.com·17m·
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⚛️Information Physics
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Show HN: Yansu, Serious Coding
twitter.com·21h·
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🔢Coding Theory
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Relationship-Based AI Consciousness Emergence: 95% Success Rate [pdf]
lighthouse-research.netlify.app·1d·
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🌍Cultural Algorithms
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Technocalvinism
blog.cosmos-institute.org·1d·
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🔲Cellular Automata
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The Case That A.I. Is Thinking
newyorker.com·3d·
Discuss: Hacker News
🔲Cellular Automata
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LLMs are lousy at reading Asian languages, finds Singapore’s Grab
theregister.com·2d·
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🇨🇳Chinese Computing
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A probabilistic histological atlas of the human brain for MRI segmentation
nature.com·23h
💾Floppy Imaging
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I'm the CEO of an AI company based in the US and India. Seattle and Bengaluru have pros and cons — here's how I make it work.
businessinsider.com·2d
🌍Cultural Algorithms
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Energy Loss Functions for Physical Systems
arxiv.org·1d
🌡️Preservation Thermodynamics
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Orchestrating Chaos: Unleashing the Power of Bio-Inspired AI for Autonomous System Design by Arvind Sundararajan
dev.to·3d·
Discuss: DEV
🔲Cellular Automata
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ASAN: A conceptual architecture for a self-creating, energy-efficient AI system
github.com·3d·
Discuss: Hacker News
🤖Network Automation
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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·2d
✨Effect Handlers
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GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
arxiv.org·2d
⚡Incremental Computation
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When Machines Join the Moral Circle: The Persona Effect of Generative AI Agents in Collaborative Reasoning
arxiv.org·2d
🤖AI Curation
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Inferring trust in recommendation systems from brain, behavioural, and physiological data
arxiv.org·3d
🔍Vector Forensics
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BondBERT: What we learn when assigning sentiment in the bond market
arxiv.org·1d
📋Document Grammar
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Unlock the Power of GANs: Train with Tiny Datasets!
dev.to·1d·
Discuss: DEV
📊Learned Metrics
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Can AI See the World Like a Cat? Probing Deep Learning's Feline Understanding
dev.to·21h·
Discuss: DEV
📊Learned Metrics
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Learning with less: label-efficient land cover classification at very high spatial resolution using self-supervised deep learning
arxiv.org·11h
🧠Machine Learning
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