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Why Movement Is the Killer Learning App for Nonprofits

Beth's Blog: How Nonprofits Can Use Social Media

As a trainer and facilitator who works with nonprofit organizations and staffers, you have to be obsessed with learning theory to design and deliver effective instruction, have productive meetings, or embark on your own self-directed learning path. Internal: These theories take into account our minds and bodies.

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How To Think Like An Instructional Designer for Your Nonprofit Trainings

Beth's Blog: How Nonprofits Can Use Social Media

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. As someone who has been designing and delivering training for nonprofits over the past twenty years, the most exciting part is apply theory to your practice.

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Timaeus in 2024

The AI Alignment Forum

Published on February 20, 2025 11:54 PM GMT TLDR: We made substantial progress in 2024: We published a series of papers that verify key predictions of Singular Learning Theory (SLT) [ 1 , 2 , 3 , 4 , 5 , 6 ]. The loss landscape (and optimizer) determine the learning process. Figure from Pepin Lehalleur et al.

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Strengthening program evaluation in your nonprofit

ASU Lodestar Center

What does the decision making and organizational structure look like? These are the people who will get the ECB ball rolling and actively manage the ECB process. Then create an advisory group to steer the process. This plan will guide the process for all the participants. Identify champions and people to work with.

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Stanford AI Lab Papers and Talks at NeurIPS 2021

Stanford AI Lab Blog

The thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) 2021 is being hosted virtually from Dec 6th - 14th. Some of the members in our SAIL community also serve as co-organizers of several exciting workshops that will take place on Dec 13-14, so we hope you will check them out!

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Stanford AI Lab Papers and Talks at ICLR 2022

Stanford AI Lab Blog

Guibas, Hao Dong Contact : kaichun@cs.stanford.edu Links: Paper | Video | Website Keywords : visual affordance learning, robotic manipulation, 3d perception, interactive perception Language modeling via stochastic processes Authors : Rose E Wang, Esin Durmus, Noah Goodman, Tatsunori Hashimoto Contact : rewang@stanford.edu Award nominations: Oral Presentation (..)

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Research directions Open Phil wants to fund in technical AI safety

The AI Alignment Forum

Experiments on alignment faking: Alignment faking is a speculative failure mode in which an AI pretends to be aligned to its training/testing process in order to achieve some other goal once deployed. But there are many ways to design the game and define red or blue team victory conditions within this high-level structure.