Risks of Large Language Models (LLM)

Garbage video

Can a subsequent SFT and RTHF with different, additional or lesser contents change the character, improve, or degrade a GPT model?

Simple answer is no

I would also like to add: AI that is intervening in the user experience in an unwanted and ennoying manner, taking over control of the human user, with pupups of screens that the user did not ask for, adding Apps that the user did not ask for, chaning layout that the user did not ask for... in other words, taking over control of the human user as far as UX is concerned. Mobile Apps that seem innocent can be equipped with AI that start dominating behaviour, habits and life of people...

Glad you added the three dots via Aftereffect. Was a gamechanger.

this is supposed to be purely informative, yet I see politically charged statements being used. Frustrating to see. The point of this is to teach people, people want to learn, not see some bogus poltically charged statement

Are you guys engineers or lawyers? xd

I'm guessing bias is from the people training it? Or is it from the internet? Would a chinese ai have a bias towards white male poets?
If the latter why?
Is there more white male poets that have been published or quoted on the internet than other groups?
I think we have to be careful our own biases don't mean we percieve bias that isn't there.

Pretty much. "Use with care".

Brilliant Explanation!

Useless video. Didn’t provide any meaningful insights for anyone who knows even a little about this technology.

I can't believe no one else has noticed how astoundingly good this lady is at writing backwards.

Very good points but mitigation strategies are not really actionable

Using 'hallucinations' as a term to describe the output of an inanimate system is a calculated distortion of language by the media.

Well done! Remarkable content here thank you

Excellent explanation. However, in terms of bias and audits as a mitigation you did not say who would be doing the audits. The assumption is that it is easy to find unbiased auditors and you immediately run into the problem of "quis custodiet ipsos custodes?" To my mind this is a much greater risk as the potential for misuse and harm is huge.

Means AI is genius but totally dump, similar to what happens when there is no emotion associated to the knowledge/information, totally not good for humans.

Model kog

I'm not clear on how to provide consent/accountability. Is there any existing solution that gets permission from the data sources LLMs scrape? Without any basis in reality it doesn't feel like much of a strategy...