Raw LLM Responses
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G
I ... Do not like it when Ai is learning from us.
Or if we Human try to teach …
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Scott if you’re reading this: TRY GETTING OUT OF YOUR BUBBLE FOR ONCE. You sound…
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G
At the first sight of Social Unrest, the law makers will hit AI companies with l…
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G
You should read the ai con. You're falling into some of the marketing cons.
Ye…
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G
Interestingly enough, we are building the electrical and cooling structures to m…
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I saw a thing were AI was asked to generate pictures of the evolution of mankind…
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That's an interesting take! The name Sophia actually means "wisdom" in Greek, wh…
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Assuming that people who are impressed by this are automatically the people who …
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Comment
From 2022–2024, tools like ChatGPT and Copilot boosted productivity on small coding tasks, but people mistakenly extrapolated this to “AI will do 80–90% of development,” scaring students and juniors away from CS.
2024 brought viral but misleading demos (like “autonomous AI engineers”) and headlines about “25–30% of code is AI‑generated,” yet studies of 153 million lines of code showed more churn and subtle bugs when AI was heavily used, proving humans still had to rewrite and review a lot.
In 2025’s bad tech job market, only about 5% of 1.17 million layoffs were actually due to automation by AI; most cuts came from pandemic over‑hiring and companies using “AI” as a PR excuse to fire people and impress investors.
The core technical limits are: large language models are prediction machines that hallucinate instead of saying “I don’t know,” and “vibe coding” (blindly accepting AI output) creates fragile systems no serious company can trust; so instead of replacing devs, AI is becoming a powerful tool that still requires human oversight, with “context engineering” (precise problem framing, constraints, and review) as the key future‑proof skill for software engineers.
youtube
AI Jobs
2026-02-12T04:5…
♥ 10
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgzZ748H4qONpNIljG94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxbdVyMjKYvmi6n2Qp4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugyt7w1uDjj6h9GsAkR4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxiWzCFQK6FUMR8nMN4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugzv343jVivzVQyEUcB4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgzgaG-mYSxYh1yF81x4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzzhANk92xISRV6S7N4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzJZJW7Vkx0SUpUKD14AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgyxkQnwco96SCQxjrV4AaABAg","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxcqFgrON86m4mdtEZ4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"resignation"}
]