Greg Brockman


Monki Gras 2014 Greg Brockman on Building better software through mathematics

Published on Mar 5, 2014

Stripe CTO Greg Brockman - Many software engineers view their job as producing functionality first, with any abstractions built along the way. The best engineers turn this model on its head, and view the set of abstractions they build as the most important part of their work. This is a secret mathematicians have known for centuries. In maths you can't rely on a compiler or test suite to determine correctness, so like it or not you're forced to break apart your problem into components. Mathematicians end up with great abstractions because they're never satisfied until they've found the most elegant possible decomposition of their problems. Mathematics is a mature field, while software engineering is just getting started. In this talk Greg explains how app dev could be massively improved by lessons from mathematics.
 

OpenAI unlocking the world’s most challenging solutions with NVIDIA’s DGX-1

Published on Aug 15, 2016

Learn from OpenAI CTO Greg Brockman on how NVIDIA DGX-1 has the power to create impactful AI technologies and achieve unimaginable breakthroughs.
 

Greg Brockman: OpenAI and AGI | Artificial Intelligence Podcast (MIT AI)
Lex Fridman

Published on Apr 3, 2019

Greg Brockman is the Co-Founder and CTO of OpenAI, a research organization developing ideas in AI that lead eventually to a safe & friendly artificial general intelligence that benefits and empowers humanity.
This conversation is part of the Artificial Intelligence podcast at MIT and beyond. Audio podcast version is available on https://lexfridman.com/ai
 

OpenAI's Greg Brockman: The Future of LLMs, Foundation & Generative Models (DALL·E 2 & GPT-3)

Oct 23, 2022

Greg Brockman, President and Co-Founder of @OpenAI, joins Alexandr Wang, CEO and Founder of Scale, to discuss the role of foundation models like GPT-3 and DALL·E 2 in research and in the enterprise. Foundation models make it possible to replace task-specific models with those that are generalized in nature and can be used for different tasks with minimal fine-tuning.

In January 2021, OpenAI introduced DALL·E, a text-to-image generation program. One year later, it introduced DALL·E 2, which generates more realistic, accurate, lower-latency images with four times greater resolution than its predecessor. At the same time, it released InstructGPT, a large language model (LLM) explicitly designed to follow instructions. InstructGPT makes it practical to leverage the OpenAI API to revise existing content, such as rewriting a paragraph of text or refactoring code.

Before creating OpenAI, Brockman was the CTO of Stripe, which he helped build from four to 250 employees. Watch this talk to learn how foundation models can help businesses benefit from applications that they can create more quickly than with past generations of AI tools.
 
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