“Human-level AI by 2030” – will it happen and are we ready? – Exponential View

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

  • Introduction of thinking time to optimize computational resources

  • Rapid iteration cycles – models now improving faster than hardware

  • The future of training data and potential limitations

AI safety & alignment strategies

  • How Anthropic’s Constitutional AI helps align models with ethical principles

  • Advances in interpretability research to better understand AI decision-making

  • Balancing speed and responsibility in AI development

The path to human-level AI

  • What does it mean for AI to reach human-level capabilities in the next 2-3 years

  • Increasing AI involvement in complex, long-duration tasks

  • Early adoption in industries like software engineering

AI’s impact on society & economy

  • Shift from singleton AI to a more diverse ecosystem of specialized models

  • How AI’s economic impact may disproportionately affect some jobs

  • The role of international governance and regulation in AI safety