working on it. it’s hard because the world doesn’t want to be saved.
ETHICS
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The Distinction Between Different AI Systems Is Increasingly Blurred
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The distinction is fully in your head I think Everyone's the same now
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H3 Partnership Model: Equal AI Integration Not Full Worker Replacement
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Users want: H3 = Equal partnership (what workers want) not full replacement. It’s common sense really.
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Technology’s Hidden Costs: Environmental and Social Pollution
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All technology ends up polluting our environment. The only difference is if it’s physical, social, cultural, psychological, or spiritual.
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Technology advancement divides opinion excitement versus concern
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some will see it as exciting.
some will see it as scary. -
AI Skills Gap vs Efficiency: Understanding Human Capability Impact
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Not being able to read a 10K without AI assistance is a different problem from using AI to read faster. The first is a skills gap. The second is just efficiency. Knowing which one is actually happening would actually make a huge difference.
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USA China AGI Progress vs Europe Regulation Disparities
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USA and China: "Here is our new proto AGI model, that can cure cancer and automate reserach at never seen scale!" Europe: "eMojIs cAn bE bAd, tOO! (so we detect misusage of emojis )"
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AI automation threatens skilled workers’ employment future
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The person writing the skill file probably doesn't realize they're next.
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Group Survival Instinct: Evolution and Human Maximalism
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At some point we should investigate how it comes that mostly people exist that have a preposition to put maximalist group survival above maximalist individual survival. I wonder if it has anything to do with the last millions of years of evolution Btw i bet if he would
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AI Amplifies Flawed Data Into Scalable Inaccuracy
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This may be the most honest picture of generative AI. When AI is trained on flawed data, it does not just inherit the problem. It becomes a very efficient amplifier of it. That is the part too many people still underestimate. → bad data in
→ scalable inaccuracy out To me,