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

Software design is refinement, not abstraction (2022)
sicpers.info·9h·
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📵Digital Minimalism
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Show HN: Yansu, Serious Coding
twitter.com·1d·
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I stopped worrying and learned to love the easy fix
tn1ck.com·10h·
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The Exhaust Port of Cohesion: Precision Provocation in LLMs
blog.gopenai.com·2d·
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Good abstractions for humans turn out to be good abstractions for LLMs
betweentheprompts.com·3d·
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Anthropic Commits To Model Weight Preservation
lesswrong.com·1d
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The Drift Principle: why systems get worse even when they're "working"
news.ycombinator.com·1d·
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The race to train AI robots how to act human in the real world
latimes.com·2d·
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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·10h·
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The trust collapse: Infinite AI content is awful
arnon.dk·22h·
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Grokipedia or Slopipedia? Is It Truthful and Accurate?
mindprison.cc·2d·
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Small Vs. Large Language Models
semiengineering.com·4d·
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AI Summarization Optimization
schneier.com·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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Coding on Paper
thepalindrome.org·18h·
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A Security Model for Systemd
lwn.net·23h·
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Searles's Chinese Room: Case study in philosophy of mind and cognitive science
cse.buffalo.edu·2d·
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Context Engineering: The New Skill for Working with AI Agents
benr.build·1d·
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Why Your Best Engineers Are Interviewing Elsewhere, CodeGood
codegood.co·1d·
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📵Digital Minimalism
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