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

I was live with

Jared

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.

A snapshot of what we discuss:

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