The Nonlinear Library EA - OpenAI's Superalignment team has opened Fast Grants by Yadav
Dec 18, 2023
01:22
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: OpenAI's Superalignment team has opened Fast Grants, published by Yadav on December 18, 2023 on The Effective Altruism Forum.
From their website:
We are offering $100K-$2M grants for academic labs, nonprofits, and individual researchers. For graduate students, we are sponsoring a one-year $150K OpenAI Superalignment Fellowship: $75K in stipend and $75K in compute and research funding.
Things they're interested in funding:
With these grants, we are particularly interested in funding the following research directions:
Weak-to-strong generalization: Humans will be weak supervisors relative to superhuman models. Can we understand and control how strong models generalize from weak supervision?
Interpretability: How can we understand model internals? And can we use this to e.g. build an AI lie detector?
Scalable oversight: How can we use AI systems to assist humans in evaluating the outputs of other AI systems on complex tasks?
Many other research directions, including but not limited to: honesty, chain-of-thought faithfulness, adversarial robustness, evals and testbeds, and more.
Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org
From their website:
We are offering $100K-$2M grants for academic labs, nonprofits, and individual researchers. For graduate students, we are sponsoring a one-year $150K OpenAI Superalignment Fellowship: $75K in stipend and $75K in compute and research funding.
Things they're interested in funding:
With these grants, we are particularly interested in funding the following research directions:
Weak-to-strong generalization: Humans will be weak supervisors relative to superhuman models. Can we understand and control how strong models generalize from weak supervision?
Interpretability: How can we understand model internals? And can we use this to e.g. build an AI lie detector?
Scalable oversight: How can we use AI systems to assist humans in evaluating the outputs of other AI systems on complex tasks?
Many other research directions, including but not limited to: honesty, chain-of-thought faithfulness, adversarial robustness, evals and testbeds, and more.
Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org