Algorithmic Bias, AI Safety, Machine Learning Ethics, Technology Impact

Show HN: Yansu, Serious Coding
twitter.com·1d·
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Can You Still Learn to Draw in the Age of AI? The 'AI Wall' for Artists and Devs
hugo.writizzy.com·18h·
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I stopped worrying and learned to love the easy fix
tn1ck.com·19h·
📵Digital Minimalism
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Good abstractions for humans turn out to be good abstractions for LLMs
betweentheprompts.com·4d·
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Thoughts by a non-economist on AI and economics
windowsontheory.org·2d·
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Small Vs. Large Language Models
semiengineering.com·4d·
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AiDHD: Reflecting on 6 Months Vibing
josh.ing·33m·
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AI Summarization Optimization
schneier.com·4d·
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Coding on Paper
thepalindrome.org·1d·
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A Security Model for Systemd
lwn.net·1d·
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Searles's Chinese Room: Case study in philosophy of mind and cognitive science
cse.buffalo.edu·3d·
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Lessons from 70 interviews on deploying AI Agents in production
mmc.vc·3d·
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"Flow" in software development is overrated
arguingwithalgorithms.com·1d·
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Can a Startup Beat a Giant? When the Perplexity Case Isn't So Easy
news.ycombinator.com·1d·
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The Work of AI, Ourselves
oliverbatemandoesthework.substack.com·3d·
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Is 'human' a risky AGI target
nullsy.com·5d·
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Context Engineering: The New Skill for Working with AI Agents
benr.build·2d·
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Grokipedia or Slopipedia? Is It Truthful and Accurate?
mindprison.cc·2d·
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Why Your Best Engineers Are Interviewing Elsewhere, CodeGood
codegood.co·2d·
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Dario Amodei's "Machines of
lesswrong.com·2d
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