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Lex Fridman Cast

02/03/25

@ Lex Fridman

Just because a model is open-sourced doesn't mean it can't be subverted; there have been instances of backdoors in open source software that could also apply to AI models.

Video

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

Paul Buchheit

08/10/24

@ Y Combinator

The future of AI relies on open-source models to ensure freedom and prevent centralization of power in AI development.

Alexandr Wang

11/03/23

@ The Logan Bartlett Show

Open source models are essential for ensuring that AI achieves its full economic potential, as they allow for broader access and innovation in AI technologies.

Geoffrey Hinton

04/26/25

@ CBS Mornings

Releasing AI model weights is different from open-source software; while open-source allows for collaborative improvement, released weights can be misused without scrutiny.

Lex Fridman Cast

02/03/25

@ Lex Fridman

AI is not confined to one nationality or set of morals, and stopping the open sourcing of models might make it harder to prepare for their implications.

Luther Lowe

06/14/24

@ Y Combinator

We must ensure that open-source tools and models are protected from regulations that could hinder entrepreneurship in the AI space.

Paul Buchheit

08/10/24

@ Y Combinator

Open source models are crucial for ensuring freedom of thought and speech, as they prevent the centralization of power in AI.

Lex Fridman Cast

02/03/25

@ Lex Fridman

The motivation behind open source AI is to democratize access to powerful models and data, enabling more people to contribute to AI advancements.

Anthropic Cast

03/18/25

@ Anthropic

Key threat models include AI systems copying their weights, deploying themselves unmonitored, and sabotaging AI safety research.

Lex Fridman Cast

02/03/25

@ Lex Fridman

The preparation and understanding of what AI can do is becoming increasingly important as open models continue to emerge, regardless of attempts to stop them.