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Alternately, you may feel so good about it and say my job is done. Use LearningTheory. To guide evaluation, there are several learningtheories, including The Four Levels of Evaluation, also referred to as the Kirkpatrick Evaluation Model , was created by Donald Kirkpatrick, Ph.D. Documentation.
All of my work these days is focused on designing and delivering effective training for nonprofits -primarily on the topics of social media, strategy, networks, and measurement. 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.
Progress on this research agenda therefore seems likely to be useful in a fairly broad range of scenarios, and applicable to a fairly broad range of AI systems (in contrast to research that is closely tied to specific alignment strategies, specific types of AI systems, or very specific assumptions).
Alternatives to adversarial training : Adversarial training (and the rest of todays best alignment techniques) have failed to create LLM agents that reliably avoid misaligned goals. Were interested in evaluations that can test whether an AI has the capability to execute these strategies (regardless of whether it actually does so).
And a technical note: it needs to be in some first-order system or alternatively, you need to measure proof checking time as opposed to proof length. So zooming out, youre telling me about the proof strategy for crosscoders. And then you prove this, and the measure of compression is how long your proof is. Is that roughly fair?
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