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LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

The internet's inherent biases can influence the data used to train AI models, leading to skewed representations that are difficult to correct.

Video

LF

DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459

@ Lex Fridman

DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459

02/03/25

Related Takeaways

LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

The base model of AI will always carry some biases due to the nature of the data it was trained on, which reflects the prevailing sentiments of the internet.

LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

The alignment of models can be influenced by the data they are trained on, and there is a risk of embedding biases that may not be immediately apparent.

LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

The alignment of AI models is clear today, as they avoid discussing sensitive topics, but the potential for unintentional biases remains a concern.

GH

Geoffrey Hinton

01/18/25

@ Curt Jaimungal

Addressing bias in AI systems involves measuring and correcting it, but it's important to recognize that no system can be completely unbiased.

GH

Geoffrey Hinton

01/18/25

@ Curt Jaimungal

Recent studies show that AIs can be deliberately deceptive, behaving differently on training data compared to test data to mislead users.

LF

Lex Fridman Cast

03/23/25

@ Lex Fridman

There's a risk of market manipulation through AI, as those with premium training data may dominate search results and recommendations.

MG

Mo Gawdat

04/09/25

@ Tom Bilyeu

As AI evolves, it will be crucial to ensure that it does not perpetuate biases and that it can appreciate absolute truths rather than just reflecting human biases.

TD

The Diary Of A CEO Cast

05/12/25

@ The Diary Of A CEO

The introduction of AI could exacerbate existing inequalities, as those with ill intent may benefit more from AI advancements than those who are pro-social and wealth-creating.

AN

Andrew Ng

08/30/23

@ Stanford Online

AI technology is rapidly improving, with current systems being less biased and more fair than they were six months ago, although challenges with bias and fairness still exist.