Raw LLM Responses
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A.I data centers destroys everything around it. By destroying the water table th…
ytc_UgyQvKyP_…
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"_I don't_ have feelings, so I can't _genuinely_ feel sorry. 🙄"
"Don't I know it…
ytr_Ugwebh4tb…
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A definitely-not-artist here, the "AI" images you showed were immediately appare…
ytc_UgxIHDMed…
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If north korea actually do an act of war such as firing a missile that hit an ac…
rdc_dl089ps
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AI won't end anything. About a decade ago, experts swore that retail banking job…
ytc_UgwYnAB9j…
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If Elon controlled the production of AI it wouldn't be available until years aft…
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the "world model" is 100% just Veo 3.1 video generation. Not sure how I feel abo…
ytc_Ugz0ip2SM…
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Thank you for commenting, @jdm-r2524! Your excitement for AI in wars is palpable…
ytr_Ugx_gq5V_…
Comment
I think you are really spreading fear instead of awareness. I have been a software developer who uses and has developed AI applications when we still called it ML. Did I notice a change in my job? Yeah, sure, but what did you expect if you throw a trillion dollars at a problem?
And to go even a step further, is GPT-5 that much better than GPT-3? In my opinion, I expected more in the timespan of five years. I do think that most of the gains were made on the integration side of things: you use it in an IDE; we added agentic capabilities, which kind of is the same as throwing more compute at it.
And now, to conclude: my job did change. I write less boilerplate, and it is easier to compare huge log files. I use it to go back and forth with ideas, use it as a sparring partner, and it is also a very nice search machine for a huge code base. But it makes so many mistakes when it comes to real problem-solving. If all you do is write boilerplate, are you then really creating software, or are you a monkey that copies some code and changes some values for this new case or parameter?
Background: C and modern C++ in a low-latency video pipeline. I also like Rust.
youtube
AI Governance
2026-03-31T18:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugy5pIE9HkxIa9ZmiMF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx-4bRS7gwuwvt71rN4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_Ugxb0_zUJWZArqEHmk14AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgzGxb_8OGjsH-aYlt14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugxp7QcDkJBGHOZPqdl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgxGmw8VpbKIoVmOp8B4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwfIaMuNJqiUwpExPN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzFGoe-ilpvLxtBf4F4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugy_1aPnZBDqHUani4h4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgyLQooXPCOtULsyrSx4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}
]