The AI Scaling Problem
Edan Meyer
@edanmeyerAbout
I like to talk about AI, Machine Learning, and especially a lot of Reinforcement Learning! Most of my content is educational and focused on research that I find interesting.
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Video Description
AI has come a long way, but I would argue that the current most popular direction in the field, scaling with human generated data, is misguided. If we really want our agents to scale, we need to focus on how they will learn from their own data. This means creating reinforcement learning (RL) agents that are efficient enough to learn from a single, embodied stream of data. Outline 0:00 - Intro 1:22 - The problem with the field 3:13 - The runtime learning perspective 7:24 - Point 1 9:31 - Point 2 12:26 - Point 3 14:30 - My research Social Media YouTube - https://youtube.com/c/EdanMeyer X - https://X.com/ejmejm1 Sources: Andy Barto's talk: https://www.youtube.com/watch?v=-gQNM7rAWP0
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