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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. Here’s some examples.

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Six Tips for Evaluating Your Nonprofit Training Session

Beth's Blog: How Nonprofits Can Use Social Media

” While a participant survey is an important piece of your evaluation, it is critical to incorporate a holistic reflection of your workshop. This includes documenting your session, reviewing your decks and exercises, analyzing your instructional design, and figuring out how to improve it. Use Learning Theory.

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Six Books About Skills You Need To Succeed in A Networked World

Beth's Blog: How Nonprofits Can Use Social Media

Here are six fantastic books that I read this year that help you gain 21st century skills like learning from failure, reflection, visualization, and more. If you’re doing social media and you’re trying to be perfect, get over it – you won’t learn how to improve what you’re doing. Schoemaker.

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How To Think Like An Instructional Designer for Your Nonprofit Trainings

Beth's Blog: How Nonprofits Can Use Social Media

So, expect to see regular reflections on good instructional design and delivery for any topic, but especially digital technology and social media related. 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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Research directions Open Phil wants to fund in technical AI safety

The AI Alignment Forum

Through these research directions, we aim to develop robust safety techniques that mitigate risks from AIs before those risks emerge in real-world deployments. Jailbreaks and unintentional misalignment : New techniques for finding inputs that elicit competent, goal-directed behavior in LLM agents that the developers clearly tried to prevent.

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AXRP Episode 40 - Jason Gross on Compact Proofs and Interpretability

The AI Alignment Forum

And for that, I think you need something like derandomization techniques, where the simplest example of this is that if you have a collection of random vectors in high dimensions, theyre almost always almost orthogonal. And normally, when we think of symmetry in the context of math, were like, the rotation, reflection, these things in groups.

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