This post was originally published on this site.
I was live with
Kaplan, co-founder of Anthropic, to explore the latest advancements in AI, the challenges of safety and alignment and the evolving role of AI in our economy and society.
AI model scaling & Claude 3.7 Sonnet
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Introduction of thinking time to optimize computational resources
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Rapid iteration cycles – models now improving faster than hardware
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The future of training data and potential limitations
AI safety & alignment strategies
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How Anthropic’s Constitutional AI helps align models with ethical principles
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Advances in interpretability research to better understand AI decision-making
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Balancing speed and responsibility in AI development
The path to human-level AI
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What does it mean for AI to reach human-level capabilities in the next 2-3 years
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Increasing AI involvement in complex, long-duration tasks
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Early adoption in industries like software engineering
AI’s impact on society & economy
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Shift from singleton AI to a more diverse ecosystem of specialized models
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How AI’s economic impact may disproportionately affect some jobs
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The role of international governance and regulation in AI safety