Beth's Blog: How Nonprofits Can Use Social Media

JANUARY 27, 2014

Designing and delivering a training to a nonprofit audience is not about extreme content delivery or putting together a PowerPoint and answering questions. If you want to get results, you need to think about instructional design and learning theory. And, there is no shortage of learning theories and research.

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The AI Alignment Forum

FEBRUARY 7, 2025

Applications ( here ) start with a simple 300 word expression of interest and are open until April 15, 2025. We have plans to fund $40M in grants and have available funding for substantially more depending on application quality. Wed like to support more such evaluations, especially on scalable oversight protocols like AI debate.

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Stanford AI Lab Blog

DECEMBER 6, 2021

Kochenderfer Contact : philhc@stanford.edu Links: Paper Keywords : deep learning or neural networks, sparsity and feature selection, variational inference, (application) natural language and text processing Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Authors : Jeff Z.

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Google Research AI blog

APRIL 30, 2023

If you’re registered for ICLR 2023, we hope you’ll visit the Google booth to learn more about the exciting work we’re doing across topics spanning representation and reinforcement learning, theory and optimization, social impact, safety and privacy, and applications from generative AI to speech and robotics.

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The AI Alignment Forum

FEBRUARY 28, 2025

Some relevant criteria for evaluating a specification language include: How expressive is the language? However, this is not the only option, and it is not self-evident that it is the right choice. Some other notable options include e.g. multi-objective RL, temporal logic, or different kinds of non-Markovian rewards.

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The AI Alignment Forum

FEBRUARY 28, 2025

The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret In this paper , we look at what happens when a learnt reward function is optimised. This means that it essentially makes the analysis in this paper more realistic, and more closely applicable to humans.

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Google Research AI blog

NOVEMBER 28, 2022

Derrick Xin , Behrooz Ghorbani , Ankush Garg , Orhan Firat , Justin Gilmer Associating Objects and Their Effects in Video Through Coordination Games Erika Lu , Forrester Cole , Weidi Xie, Tali Dekel , William Freeman , Andrew Zisserman , Michael Rubinstein Increasing Confidence in Adversarial Robustness Evaluations Roland S.

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