Search Results for author: Miles Brundage

Found 11 papers, 1 papers with code

Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications

no code implementations5 Aug 2021 Sandhini Agarwal, Gretchen Krueger, Jack Clark, Alec Radford, Jong Wook Kim, Miles Brundage

Recently, there have been breakthroughs in computer vision ("CV") models that are more generalizable with the advent of models such as CLIP and ALIGN.

Image Classification

Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

no code implementations4 Feb 2021 Alex Tamkin, Miles Brundage, Jack Clark, Deep Ganguli

On October 14th, 2020, researchers from OpenAI, the Stanford Institute for Human-Centered Artificial Intelligence, and other universities convened to discuss open research questions surrounding GPT-3, the largest publicly-disclosed dense language model at the time.

Language Modelling

The Role of Cooperation in Responsible AI Development

no code implementations10 Jul 2019 Amanda Askell, Miles Brundage, Gillian Hadfield

In this paper, we argue that competitive pressures could incentivize AI companies to underinvest in ensuring their systems are safe, secure, and have a positive social impact.

A Brief Survey of Deep Reinforcement Learning

no code implementations19 Aug 2017 Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil Anthony Bharath

Deep reinforcement learning is poised to revolutionise the field of AI and represents a step towards building autonomous systems with a higher level understanding of the visual world.

reinforcement-learning

Modeling Progress in AI

no code implementations18 Dec 2015 Miles Brundage

Participants in recent discussions of AI-related issues ranging from intelligence explosion to technological unemployment have made diverse claims about the nature, pace, and drivers of progress in AI.

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