Raw LLM Responses
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G
To be fair to the AI... It was talking about for cleaning not food. So this isn'…
ytc_UgzxOTr7d…
G
if cro can call himself an artist for generating ai art, i can call myself a pro…
ytc_Ugy9m317O…
G
I think we'll know when we build a sentient AI for the first time when it shuts …
ytc_UgyhHxg1d…
G
AI makes mistakes and invents things to aren't there potentially to a very deep …
ytc_UgzFoxlhG…
G
Need to ban ANY employment, labour, hr decisions from being made by ANY ai, auto…
ytc_UgwOamiHu…
G
I think AI art is good for, I dunno, making yourself a custom pfp or something a…
ytc_UgyUzF2eI…
G
I think we are in this for the long haul. AI isn't like the past where a new te…
ytc_UgxZXQSZo…
G
it's really quite simple. artists spend decades learning why and how art works, …
ytc_UgxH6Iq8r…
Comment
I think a lot of these predictions overestimate both IT's ability to actually implement and safely scale AI across the real world. For AI to "take over," it must first be deeply integrated into production environments—most of which are much less modern or robust than people assume. In reality, many companies and even military or critical systems still rely on outdated infrastructure and deliberately slow processes for safety and security.
If we want to talk seriously about global job displacement or technological change, we can't just focus on what's technically possible. We have to factor in real sources of friction like politics, culture, infrastructure, and the economy—these heavily influence how and when technology is actually adopted. Tech capability doesn't automatically mean immediate, sweeping impact.
So while the potential is huge, these narratives often miss just how complex and uneven real-world adoption is. Any claim about "the whole world" changing overnight needs to address all the barriers and delays that exist beyond the lab or boardroom. Otherwise, it's more of a theoretical scenario than a practical forecast.
youtube
AI Governance
2025-09-08T18:5…
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_UgwLa2F1WASP01wHCjd4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgygVPPK-f1mXvvq4ZB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzeUHOj-mnRjL4msSJ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgztNJx7JCumgqTPZ-F4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxM4ck0y4NSotKUjet4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwoEw2fd_Kj6HypH-t4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugy26r-RB6Onym1LgK94AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"unclear"},
{"id":"ytc_UgzyJa1zXBVgzYTMv3Z4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyjaNN4dZH9fOgsUkZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwjQ91C6jJ5nS46eUR4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}
]