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OpenAI's Greg Brockman: The Future of Large Language (LLMs) and Generative Models

Conference:  Transform X 2022

2022-10-19

Authors:   Greg Brockman, Alexandr Wang


Summary

The speaker discusses the potential positive and negative impacts of artificial intelligence and the importance of careful navigation in the field. They emphasize the need for alignment with human values and technical controls to ensure the technology remains in service of humanity.
  • AI is a powerful technology that can have both positive and negative impacts
  • Misuse and regulation are important considerations in the field
  • Technical controls and alignment with human values are necessary to ensure the technology remains in service of humanity
  • Building systems that are aligned with human values is a complex problem that requires careful navigation
The speaker shares a story about training a bot to play a game and observing its growth and behaviors. They also discuss the limitations of analyzing behavior in more complex systems and the importance of technical controls to ensure the technology remains in service of humanity.

Abstract

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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