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G @NoahtheGameplayer …it would make it barely acceptable The reality? Not even 1% … ytr_UgwcMhS2V… G Automated driving is here. It's still in its infancy and will have teething pro… ytc_Ugx6NjzuI… G Artists can be very fragile and closeminded. Nothing exposes their toxicity like… ytr_UgzP9QEAt… G Then OP will tell everyone to stop using Claude next week, 1 heroic deed to save… rdc_o7x5a1k G Judgment day will Literally be an all out war against technology lol 😂ha ha ha 🤣… ytc_UgyrFB645… G I think this is the gripe of capitalism. Automation is great for menial tasks, … rdc_jj3ga2h G I predicted ten years ago that if they ever figured out AI, it would be used to … ytc_UgwWP6rP2… G Maybe it shouldn't be called A.I., in that case; maybe it should be called I.A. … ytc_UgxewImz9…
Comment
https://utkarshkanwat.com/writing/betting-against-agents/ > Let's do the math. If each step in an agent workflow has 95% reliability, which is optimistic for current LLMs,then: >5 steps = 77% success rate >10 steps = 59% success rate >20 steps = 36% success rate I don't believe throwing a hundred million GPUs at the problem is going to solve these problems. It's diminishing returns. Even at 98%, or 99%, it's not really good enough. Also factor in if you have agents working together, you are replicating the "mythical man-month" problem of adding enormous amounts of communication overhead where even more mistakes are made. Endless work in a few years to fix all this stuff.
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Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionmixed
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
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