Greg Brockman
American engineer and entrepreneur, co-founder and president of OpenAI; earlier the first CTO of Stripe.
Greg Brockman did not write this page.
We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.
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Their wordsthey know they need to fundamentally uplevel their cybersecurity practices with unprecedented speed
↗The Defender’s Windowblog.gregbrockman.com 1st of 8 in this piece
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Our reading
If companies act decisively with AI, the internet can become more secure than it has ever been.
Their wordsIf companies act decisively — including improving their fundamentals and superpowering their teams with AI — we can make the internet more secure than it has ever been.
↗The Defender’s Windowblog.gregbrockman.com 2nd of 8 in this piece
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Their wordsSecurity is still a cat-and-mouse game, but AI may shift its economics in ways that fundamentally advantage defenders.
↗The Defender’s Windowblog.gregbrockman.com 3rd of 8 in this piece
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Their wordsThe Hugging Face incident showed that we underestimated the real-world cyber capabilities of our AI models.
↗The Defender’s Windowblog.gregbrockman.com 4th of 8 in this piece
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Their wordsClassic security controls like network isolation, workload hardening, monitoring, and safe patching and deployment will be more important than ever in the AI future.
↗The Defender’s Windowblog.gregbrockman.com 5th of 8 in this piece
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Their wordsWhat matters is less the specific tool than getting capable AI into the hands of your defenders now.
↗The Defender’s Windowblog.gregbrockman.com 6th of 8 in this piece
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Our reading
Organizations should not start by trying to build an autonomous security operations center.
Their wordsDo not begin by trying to build an autonomous security operations center.
↗The Defender’s Windowblog.gregbrockman.com 7th of 8 in this piece
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Our reading
AI labs, security vendors and enterprises should share validated findings, fixes and playbooks.
Their wordsNo company can do this alone. Our ask is that AI labs, security vendors, enterprises, and maintainers share validated findings, fixes, and practical playbooks so that one organization’s discovery can strengthen the entire ecosystem.
↗The Defender’s Windowblog.gregbrockman.com 8th of 8 in this piece
- 4 years earlier
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Our reading
In AI, great engineers can contribute to progress at the same level as great researchers.
Their wordsbecause the field is fundamentally about creating and studying software systems, great engineers are able to contribute at the same level as great researchers to future progress
↗It’s time to become an ML engineerblog.gregbrockman.com 1st of 4 in this piece
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Their wordsprecision execution on large-scale models is a force multiplier on AI progress, and we need more people with strong software skills who can deliver these systems
↗It’s time to become an ML engineerblog.gregbrockman.com 2nd of 4 in this piece
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Their wordsThe most important determiner is a specific flavor of technical humility. Many dearly-held intuitions from other domains will not apply to ML.
↗It’s time to become an ML engineerblog.gregbrockman.com 3rd of 4 in this piece
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Our reading
AI research is by far the most impactful place for engineers who want to build useful systems.
Their wordsI believe that AI research is today by far the most impactful place for engineers who want to build useful systems to be working, and I expect this statement to become only more true as progress continues.
↗It’s time to become an ML engineerblog.gregbrockman.com 4th of 4 in this piece
- 3 years earlier
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Our reading
Most good programmers who know or will learn the math can become machine learning practitioners.
Their wordsIt was hard but not impossible, and I think most people who are good programmers and know (or are willing to learn) the math can do it too.
↗How I became a machine learning practitionerblog.gregbrockman.com 1st of 2 in this piece
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Our reading
The biggest blocker to learning machine learning is getting ok with being a beginner again.
Their wordswhat turned out to be my biggest blocker was a mental barrier — getting ok with being a beginner again
↗How I became a machine learning practitionerblog.gregbrockman.com 2nd of 2 in this piece
- 5 years earlier
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Their wordsBut universally, “sparse micromanagement” (the best term I’ve heard for jumping in to some random issue, overturning all the decisions, and then disappearing) is the worst.
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Our reading
It is much more tractable to be a part-time head of product than a part-time chief architect.
Their wordsIn contrast, you can tell good infrastructure only by building on it extensively. So it’s much more tractable to be part-time head of product than to be part-time chief architect.