The Science of AI
Misha explores the parallels between the current state of AI and the early days of electricity in the late 1800s. He highlights the importance of understanding scaling laws and data mixes, emphasizing that while empirical results abound, a solid theoretical framework is still developing. This foundational knowledge is crucial for the next wave of breakthroughs in AI science.In this clip
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Reflection AI’s Misha Laskin on the AlphaGo Moment for LLMs | Training Data
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