Raw LLM — Corpus Dashboard

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G Wow! Great idea! I've never thought that before. Real can go full aggression com… ytc_Ugwe0trHc… G En los países del primer mundo la ia esta a pasos gigantes, pero en los países d… ytc_UgytZbZSq… G I'm listening to Jon Conor . Is it just me or does that anti Ai guy give you ter… ytc_Ugz3OWrfE… G I sincerely hope everybody has longggg memories about what companies were eager … ytc_UgwqMdu43… G AI has been a blessing in disguise for me. I use it, while I also deepen my medi… ytc_Ugxp2thsf… G Ppl like me warned everyone I met about AI year after year. Y'all don't get to … ytc_Ugx4FV8yM… G Thank you. Finally! A person who talk sense about AI matters. I am actually goin… ytc_UgwHXTRBh… G Manually search and copy from library documentation Manually search and copy f… ytc_UgwAML2yx…

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"}
]

Raw LLM Responses