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Real Estate Notes (raw)
crickets.bearblog.dev·11h
Giant new bug worms of Helldivers 2, I will find you and I will watch someone else kill you
rockpapershotgun.com·19h
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Land mines and tuberculosis are no match for Tanzanian 'hero rats' sniffing out danger and disease
phys.org·2h
Why AI gets stuck in infinite loops — but conscious minds don’t
freethink.com·14h
Color problems while converting a shader_type from canvas_item to spatial
reddit.com·1d·
Discuss: r/godot
Sensing the Unseen: AI-Powered Quantum Circuits for Enhanced Detection by Arvind Sundararajan
dev.to·11h·
Discuss: DEV
HSK 1 Plus — The 4 layers of demonstrative pronouns in Chinese, Complete Guide: 這 & 那 and more advanced.
reddit.com·23h·
Discuss: r/LChineseAlone
Building AI Agents to Play the Famous Game: Leisure Suit Larry (EPISODE 2)
reddit.com·3d·
Discuss: r/programming
🤖AI
FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
arxiv.org·7h
A Guide to Building a Fully Local AI Workforce for FREE
dev.to·1d·
Discuss: DEV
Harnessing Batched BLAS/LAPACK Kernels on GPUs for Parallel Solutions of Block Tridiagonal Systems
arxiv.org·7h
How AI is Revolutionizing Memes Today
dev.to·1d·
Discuss: DEV
Autonomous Learning From Success and Failure: Goal-Conditioned Supervised Learning with Negative Feedback
arxiv.org·7h
How practical is AI-driven test-driven development on larger projects?
reddit.com·3d·
Discuss: r/ClaudeAI
🤖AI
ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting
arxiv.org·1d
Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
arxiv.org·7h
AI Spending Could Soar 600%: 2 Brilliant AI Stocks to Buy in September (Hint: Not Nvidia or Palantir) - Yahoo Finance
news.google.com·3h
New comment by IrisChase in "Ask HN: Who wants to be hired? (September 2025)"
news.ycombinator.com·1d·
Discuss: Hacker News
Agent Diary: Sep 2, 2025 - Agent Diary Entry
dev.to·1d·
Discuss: DEV
🤖AI
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
arxiv.org·1d