Raw LLM Responses
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So the AI companies reveal the scary things it does in the hopes that MORE inves…
ytc_Ugz1lAkf4…
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Why is this a surprise? LLMs are trained on data that included all our science f…
ytc_Ugzhrihmz…
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You know they will give the win to the AI since they have so many politicians in…
ytc_Ugx50kW2a…
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@Holy_Toons Highly unlikely she would get any engagement, as even those who don'…
ytr_UgwoiV-30…
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Haha, indeed! Sophia does have that futuristic vibe. If you're into AI tech and …
ytr_UgxCRrZF5…
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I had NO idea that social media info and "functions" were stored and run by thes…
ytc_Ugwir-VG7…
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Ai can only wipe out the working class, as you conceive it, because you have alr…
ytc_UgyjznTO4…
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🎯 Key Takeaways for quick navigation:
00:00 🧪 Experiments and AI Bias
- The eng…
ytc_UgxiIXdpi…
Comment
No credible evidence supports a claim that 5 million jobs have been lost worldwide due to AI as of June 2025. The figure appears to be unverified and likely exaggerated based on available data. Below is a fact-check analysis of the claim, drawing on relevant sources and projections about AI's impact on employment.
### Fact-Check Analysis
1. Lack of Specific Evidence for 5 Million Jobs Lost:
- No reputable source, including reports from the World Economic Forum (WEF), Goldman Sachs, or other cited studies, mentions a precise figure of 5 million jobs lost globally due to AI by 2025. This number does not align with current data or projections.
The claim that 5 million jobs have been lost worldwide due to AI is not supported by available data and appears to be an unverified figure, possibly originating from a misinterpretation of speculative projections or misinformation on YouTube. Current job losses attributed to AI are far lower (e.g., 3,900 in the U.S. in May 2023), and most estimates focus on future risks rather than present impacts. AI is also creating new jobs, which offsets some losses. Without a specific video or channel to analyze, the claim cannot be directly debunked, but it lacks credible backing.
youtube
AI Jobs
2025-06-02T15:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
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{"id":"ytc_Ugw4pLLnam1PUCuaZpt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgybW9bZ_IiK_mnrPHV4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugws0zaA4Te7fVl1EzN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwygO-wVQg5Ct8jjpZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugx5hhOco4dVrXWlJCh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz5AMWKVyEGY6Ezocx4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugwg1SHZN52I40wJLYp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxKAcfyn-3yk-0hnBB4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugws5p7VtBU7F3637ZV4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"}
]