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Comment

Oh, yeah? So, the conclusion is that there's always will be tuning and disbalance because of it and that it was a necessary decision? They just blatanantly started defending it. Before, there was no such backlash as now, although they feared even a little backlash from the sjw and a few articles with distorted information that were written about models not being able to generate poc. They were very careful. And what now? They've gone so far without any fear? There was no opposite problem at all. It was able to generate black doctors if prompted, it only failed sometimes. Such a big company as Google couldn't have handled the problem when a single person could finetune less advanced model from much a smaller company on his pc or using a cloud? It was only the people who made the gemini as we see it today, who were crazy enough to nitpick these differences and implement that. They could've used sythetic dataset instead, or use detector models and then delete the half of dataset they don't want to train on. Fuck em, models should be free of any amount of that crap.

youtube 2024-02-29T05:0… ♥ 1

Coding Result

Dimension	Value
Responsibility	company
Reasoning	mixed
Policy	unclear
Emotion	mixed
Coded at	2026-04-27T06:24:59.937377

Raw LLM Response

[
{"id":"ytc_Ugyo8yhqO9Gr_2UTRul4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxVnIJi3avSq3hg6h14AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_UgwrPVm8RFa-UWOiPRF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgzrFW4WmyT3Vn-80x14AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzFAR59PZvH6RK7Dix4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwkpVbyWITY4bMX5M14AaABAg","responsibility":"company","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwvfoYJxt6SgWDYnMN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyO1ezkDshtoatPsFV4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgySO8yRVDdgtNZDU2J4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxA7VFBZwt817u1CjZ4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"indifference"}
]

Raw LLM Responses