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Alternative Paths to Becoming a Research Scientist: Exploring the OpenAI Residency and Scholar Program

Christina Kim
Brydon Eastman
Christina Kim & Brydon Eastman

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# Democratic Inputs to AI
# Ethical AI
# AI Governance
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Teddy Lee
Kevin Feng
Andrew Konya
Teddy Lee, Kevin Feng & Andrew Konya · Apr 22nd, 2024

Collective Alignment: Enabling Democratic Inputs to AI

As AI gets more advanced and widely used, it is essential to involve the public in deciding how AI should behave in order to better align our models to the values of humanity. Last May, we announced the Democratic Inputs to AI grant program. We partnered with 10 teams out of nearly 1000 applicants to design, build, and test ideas that use democratic methods to decide the rules that govern AI systems. Throughout, the teams tackled challenges like recruiting diverse participants across the digital divide, producing a coherent output that represents diverse viewpoints, and designing processes with sufficient transparency to be trusted by the public. At OpenAI, we’re building on this momentum by designing an end-to-end process for collecting inputs from external stakeholders and using those inputs to train and shape the behavior of our models. Our goal is to design systems that incorporate public inputs to steer powerful AI models while addressing the above challenges. To help ensure that we continue to make progress on this research, we have formed a “Collective Alignment” team.
Lama Ahmad
Lama Ahmad · Mar 8th, 2024

Red Teaming AI Systems

Collin Burns
Pavel Izmailov
Collin Burns & Pavel Izmailov · Feb 26th, 2024

Weak to Strong Generalization

Collin Burns and Pavel Izmailov present their research, Weak-to-Strong Generalization
In our conversation, we explored the fundamental principles of organization and function of biological neural networks. Anton Maximov provided an overview of imaging studies that have revealed the remarkable diversity of neurons in the brain and the complexity of their connections. His presentation began with the pioneering work of Santiago Ramón y Cajal and extended to contemporary research that integrates advanced imaging technologies with artificial intelligence. He discussed discoveries from his laboratory at Scripps, unveiling surprising new mechanisms by which neural circuits in the brain are reorganized during memory encoding. His presentation was engaging, with vibrant videos and images to showcase his findings.
In our conversation, we explored Emily St. John Mandel's distinct approaches to non-linear story structure and world-building. Emily shared insights into her experience in the TV writer's room, her aspirations to pursue ballet as a young adult, and where she finds inspiration. She also touched on her current work and where she sees herself going next, as she continues to navigate non-binary genre storytelling.
Daniel Miessler
Joel Parish
Daniel Miessler & Joel Parish · Jan 30th, 2024

Integrating AI Into Life and Work

In this talk, Meissler shared his philosophy for integrating AI into all facets of life. He highlighted a framework built for leveraging custom prompts as APIs, as well as demonstrated several specific use cases that the speaker hopes will resonate with OpenAI Forum members and translate across disciplines and professional domains.
Sam Altman
David Kirtley
Sam Altman & David Kirtley · Nov 29th, 2023

Fusion Energy: The End of Fossil Fuels

Earlier this year, Sam Altman, CEO and Co-Founder of OpenAI and David Kirtley, CEO and Founder of Helion convened at the OpenAI office among a small group of OpenAI Forum members to discuss the future of energy. This is the recording of their discussion.
Carl Miller
Alex Krasodomski-Jones
Flynn Devine
+56
Carl Miller, Alex Krasodomski-Jones, Flynn Devine & 56 more speakers · Nov 29th, 2023

Democratic Inputs to AI: Grant Recipient Demo Day at OpenAI

Watch the demos presented by the recipients of OpenAI’s Democratic Inputs to AI Grant Program https://openai.com/blog/democratic-inputs-to-ai, who shared their ideas and processes with grant advisors, OpenAI team members, and the external AI research community (e.g., members of the Frontier Model Forum https://openai.com/blog/frontier-model-forum).
Miles Brundage
Alex Blania
Miles Brundage & Alex Blania · Nov 13th, 2023

Worldcoin: Distinguishing Humans From AI

About the Talk: Worldcoin is creating a new identity and financial network that distinguishes humans from AI. This recording captured the the final in-person OpenAI Forum event of 2023 featuring Alex Blania, the CEO and co-founder of Tools for Humanity and Worldcoin, and Miles Brundage, head of policy research at OpenAI. Attendees learned about the Worldcoin systems designed to generate proof of personhood and ensure democratic access and governance of these systems in order to fairly distribute their benefits. We even featured the Worldcoin Orbs on site!  About the Speakers: Alex Blania is the CEO and Co-Founder of Tools for Humanity, the technology company building tools for the Worldcoin project. He is a Co-Founder of the Worldcoin protocol with Sam Altman and Max Novendstern. Alex is responsible for leading strategy, development, and execution of the technology and tools enabling Worldcoin to ensure everyone benefits fairly from the opportunities AI presents. Alex holds degrees in Industrial Engineering and Physics from the University of Erlangen-Nuremberg in Germany and studied physics at Caltech before dedicating his full time and attention to supporting Worldcoin. Miles Brundage is a researcher and research manager, passionate about the responsible governance of artificial intelligence. In 2018, he joined OpenAI, where he began as a Research Scientist and recently became Head of Policy Research. Before joining OpenAI, he was a Research Fellow at the University of Oxford's Future of Humanity Institute. He is currently an Affiliate of the Centre for the Governance of AI and a member of the AI Task Force at the Center for a New American Security. From 2018 through 2022, he served as a member of Axon's AI and Policing Technology Ethics Board. He completed a PhD in Human and Social Dimensions of Science and Technology from Arizona State University in 2019. Prior to graduate school, he worked at the Advanced Research Projects Agency - Energy (ARPA-E). His academic research has been supported by the National Science Foundation, the Bipartisan Policy Center, and the Future of Life Institute.
About the Talk: The use of AI in art making is as old as AI itself. The ways artists integrated AI in their creative process have been evolving with the advances of AI models and their capabilities. What is the value artists find when using AI as part of their process? What is the role of an artist and what is the role of AI in the process? How is that changing now with generative AI being dominated by text prompting as the way of interface? What have we gained and what have we lost with the progress of generative AI taking its course out of the uncanny valley to utility with the introduction of large language models as part of image generation. In this talk I will present my viewpoint about answering these questions as well as feedback from talking to many artists about this issue and trying to understand the ways they have integrated AI in their process.
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