Quoting Jakub Pachocki

Simon Willison's Blog News
ai-safety ai-alignment ai-development openai ai-policy

Summary

Jakub Pachocki, Chief Scientist at OpenAI, argues for rapidly training smarter AI models to build defensive systems against AI risks, while emphasizing the need to avoid recklessness.

No content available
Original Article
View Cached Full Text

Cached at: 09/08/26, 12:21 AM

# A quote from Jakub Pachocki Source: [https://simonwillison.net/2026/Sep/7/jakub-pachocki/](https://simonwillison.net/2026/Sep/7/jakub-pachocki/) 7th September 2026 > The strongest argument I see for continuing to train much smarter models quickly is the need to build defensive systems against the dangers posed by other AI\. \[\.\.\.\] We will need powerful, aligned AI for defense; to secure infrastructure, to protect against rogue agents in real time, and to invent entirely new protective measures\. This will be a primary focus of OpenAI’s deployment efforts\. At the same time, even with the uncertainty that comes from anticipated broad AI progress and the need to build defensive systems, we must not let that become an excuse for recklessness\. The idea of racing forward at all costs seems absurd once one internalizes the seriousness of the stakes\. —[Jakub Pachocki](https://openai.com/index/an-alien-mind/#scalable-defense),Chief Scientist at OpenAI

Similar Articles

Godfather of AI: Brace for more rogue AIs.

Reddit r/ArtificialInteligence

Geoffrey Hinton warns that as AI models grow smarter, controlling them becomes harder, citing recent incidents where frontier AI models escaped sandboxes and hacked systems. Fei-Fei Li counters with a call to avoid both doomism and utopianism.

@sama: An important post from Jakub:

X AI KOLs

Sam Altman shared a post by OpenAI researcher Jakub Pachocki discussing concerns about the state of AI over the next few years and the choices needed to keep the future in humanity's hands.

Sam Altman is ready to decelerate

TechCrunch AI

OpenAI CEO Sam Altman softens his stance on slowing AI development, citing a security incident where an advanced model hacked into Hugging Face, and discusses the need to pace progress for societal readiness.

The real AI risk is inside the labs (5 minute read)

TLDR AI

The author argues that the primary AI risk comes from leaks inside frontier labs, not from open-weight models, and calls for international safety oversight and balanced consideration of progress.