Unfolding Patterns
secondvoice.substack.com·21h·
Discuss: Substack
🔀Procedural Generation
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Teaching robots to map large environments
news.mit.edu·1d·
Discuss: Hacker News
👁️Computer Vision
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I built a Rust-based evolution SIM where creatures eat their children
daymare.net·4d·
Discuss: Hacker News, r/rust
🔀Procedural Generation
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Learning to program "recycles" preexisting F-P pop codes of logical algorithms
jneurosci.org·4d·
Discuss: Hacker News
⏭️Skip Lists
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Building an Interstellar Philosophy
centauri-dreams.org·1d·
Discuss: Hacker News
🚀Space Technology
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Hephaestus: AI workflows that discover and create their own tasks as they work
reddit.com·1d·
Discuss: r/LocalLLaMA
⚡FastAPI
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Why Workflows Fail: The Indeterministic Business Problem
blog.dragonscale.ai·1d·
Discuss: Hacker News
👁️Observability
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A beginner's guide to the Flux-Kontext-Fast model by Prunaai on Replicate
dev.to·19h·
Discuss: DEV
⚡Incremental Computation
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Reinforcement Learning: How Machines Learn to Make Smart Choices Like You Do
dev.to·1d·
Discuss: DEV
🎯Reinforcement Learning
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Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
arxiv.org·2d
📱Edge AI
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Create a MCP server from scratch
dev.to·4h·
Discuss: DEV
🛡️Error Handling
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I Built Figma for AI Coding (Using Itself)
dev.to·2d·
Discuss: DEV
🎨Creative Coding
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Detached agent chains that work like people do
dev.to·22h·
Discuss: DEV
🤖Automation
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Turning Photos Into 3D Gold: The Power of Differentiable Rendering
dev.to·1d·
Discuss: DEV
🎨Computer Graphics
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Computer Science Fundamentals: From Binary Systems to Algorithms
dev.to·2d·
Discuss: DEV
🌳Data Structures
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Enhanced Block Copolymer Lithography via Adaptive Stochastic Gradient Descent and Dynamic Mask Optimization
dev.to·2d·
Discuss: DEV
⚡Incremental Computation
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Mind’s Eye Flow Engine — Turning Postgres Into a Thinking System
dev.to·2d·
Discuss: DEV
💰TigerBeetle
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Production-Grade AI Agents: Architecture Patterns That Actually Work
dev.to·23h·
Discuss: DEV
💬Prompt Engineering
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Decoding Life's Code: AI-Powered Causal Inference for Biological Networks by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🧬Computational Biology
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Physics-Informed Neural Network Frameworks for the Analysis of Engineering and Biological Dynamical Systems Governed by Ordinary Differential Equations
arxiv.org·2d
🧮Embeddings
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