Raw LLM Responses
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G
At some point, probably not. It will be more and more part of other systems we r…
ytr_Ugwn_hEUu…
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Le développement de l'inteligence artificielle fera régresser l'intelligence hum…
ytc_Ugx7e2OTP…
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Exports factor in a huge amount. A large portion of the Carbon footprint in Aust…
rdc_da3yyut
G
My work will be one of the last to be taken over by AI, but if it shrinks the mi…
rdc_kitgjto
G
Artists struggling to stay afloat, being a professional artist is an absolute pr…
ytc_UgzrWLQAd…
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This might be an AI created video and Dr. Hinton might be an AI bot..…
ytc_UgxttrREU…
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It's because it draws off pre-existing data bases an unbiased AI would require i…
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Did they evacuate native plant/wildlife? It would be a great shame to humanity i…
rdc_d2zdks3
Comment
Over years of mentoring software engineers I've noticed that there is a cohort of them that does something akin to advanced pattern matching. They see a process that needs to repeat and they write down the loop syntax that they've memorized, then if there is an off by one error they try to subtract 1 from the loop bounds and run it again to see if that fixes it. Sometimes I call it 'guess and check' programming.
Contrast this with how I and others I've seen write code. I first build a mental model of the 'machine' that I want my code to be and then only once I'm convinced it will work do I translate that mental imagery into source code.
It seems to me that what GPT and out LLMs are doing is much more akin to the first process I described of pattern matching, albiet at a super human level. So if that's the type of programmer you are I might be worried for your job. That isn't to say that the approach once scaled couldn't replace us all. I think of chess engines which up until recently didn't have the human skill of intuition, they were simply doing what human players call "calculation" at a very super human level and that was enough to beat even the best chess players.
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AI Jobs
2024-01-14T20:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgxqRvqM2vDPvOxSNuR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgwcPYm0srN2_on4Arp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz1Rwm3dZ82Z3ABhLJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxyAomzqeN-i047UvN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyQIfEEvoPB58IC6_Z4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyP61WQ0lj2AreoGkl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxgZcxOchwQivOumFF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzkGFf3nO6FVcWLxAN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugy6M56vkxxcV_b9h3x4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwVCEtU0pmVNLtPs1x4AaABAg","responsibility":"developer","reasoning":"unclear","policy":"unclear","emotion":"mixed"}
]