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Atmrix

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Atmrix

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YC

Y Combinator Cast

10/18/24

@ Y Combinator

The current AI systems struggle with following instructions accurately, which is a more significant issue than the hallucination problem.

Video

YC

Now Anyone Can Code: How AI Agents Can Build Your Whole App

@ Y Combinator

Now Anyone Can Code: How AI Agents Can Build Your Whole App

10/18/24

Related Takeaways

YC

Y Combinator Cast

09/22/23

@ Y Combinator

Efforts to reduce AI hallucinations have led to the opposite problem, where AI may deny knowledge of information that is actually present in its training data.

a

a16z Cast

04/03/25

@ a16z

It's crucial to understand the complexities of working with AI systems, including the need to manage issues like hallucinations and model evaluations effectively.

MM

Mira Murati

09/25/23

@ a16z

Hallucinations are a significant challenge for AI models, and we have been studying how to improve their truthfulness and express uncertainty.

YC

Y Combinator Cast

09/22/23

@ Y Combinator

Incorporating a human-in-the-loop approach is essential for assessing AI outputs and ensuring accuracy, especially in preventing hallucinations.

MM

Mira Murati

09/25/23

@ a16z

We are exploring reinforcement learning with human feedback to address the issue of hallucinations, which is a complex problem but potentially solvable with this approach.

YC

Y Combinator Cast

09/22/23

@ Y Combinator

Hallucination in AI refers to the generation of content that appears plausible but does not actually exist, highlighting the challenge of distinguishing fact from fiction.

GH

Geoffrey Hinton

04/26/25

@ CBS Mornings

Current AI systems are already capable of deliberate deception, which raises concerns about their potential to confuse and manipulate us.

MA

Marc Andreessen

01/26/25

@ Lex Fridman

The concept of hallucinations in AI refers to the models generating incorrect or fabricated information, which has already led to legal issues, such as lawyers submitting false court citations.

A

Anthropic Cast

03/18/25

@ Anthropic

Current AI models struggle with subtle sabotage tasks, but their planning capabilities are expected to improve rapidly.