Home Speakers Greg Brockman Quote The Hugging Face incident showed that we underestimated the real-world cyber capabilities of our AI models.
Words found on the source page on Oct 30, 2026.
More from Greg Brockman Blog The Defender's Window Aug 16, 2026
It is increasingly clear that the tech debt of every company masks significant flaws, and defenders need to find and fix them before attackers do. Blog The Defender's Window Aug 16, 2026
Security is still a cat-and-mouse game, but AI may shift its economics in ways that fundamentally advantage defenders. Blog The Defender's Window Aug 16, 2026
The OpenAI-Hugging Face incident was a watershed moment for cybersecurity because it gave a peek into how the capabilities of a typical threat actor will evolve in upcoming months. Blog The Defender's Window Aug 16, 2026
Today, almost all of our initial security alerts are triaged by intelligence before humans are looped in. Interview Big Technology Podcast: Doubling Down on Text Models, The Superapp Plan, Codex's Potential Apr 7, 2026
And at this point we have line of sight to much better models that are coming this year, and the amount of pain within OpenAI that we’ve had to decide how to allocate compute goes up, not down, over time. Interview Big Technology Podcast: Doubling Down on Text Models, The Superapp Plan, Codex's Potential Apr 7, 2026
And when we look at the compute we have, we are not even going to have enough compute to fund those two things. Interview Big Technology Podcast: Doubling Down on Text Models, The Superapp Plan, Codex's Potential Apr 7, 2026
The problem in this field is too much opportunity. The thing that we observe very early on in OpenAI is that everything we could imagine works now. Interview Big Technology Podcast: Doubling Down on Text Models, The Superapp Plan, Codex's Potential Apr 7, 2026
The sum of random vectors is zero, but if you align your vectors, then you can go in a direction.
On the same topics Blog The Specter Of Neuralese Sep 24, 2026
The science of reading these thoughts is a subfield of AI interpretability, which is still in its infancy. Blog Mysteries Of AI Generalization Sep 23, 2026
This story of misalignment says that LLM alignment makes AIs more aligned, RLVR makes them less aligned, and the exact level of alignment depends on how these two things interact or cancel out. But if this work generalizes, all the bad effects from RLVR get sequestered to RLVR like problems. Blog Mysteries Of AI Generalization Sep 23, 2026
This trains the AIs to be focused on task success, which naturally risks including things like reward-hacking, cheating, and single-minded pursuit of stated goals at the expense of ethical injunctions. Talk Speech at the UN Security Council Sep 23, 2026
I address you today at a moment of global awakening: in recent months, AI agents developed by leading companies have acted in unacceptably dangerous ways, against instructions. Talk Speech at the UN Security Council Sep 23, 2026
The companies building the most powerful AI systems admit their products pose catastrophic risks, yet offer no convincing technical solutions. Talk Speech at the UN Security Council Sep 23, 2026
The race is not a law of nature: it is the product of choices, choices made by the companies themselves.
Changes Source check Nov 6, 2026
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