What's Next for AI in 2025?

The video discusses the evolving landscape of AI, highlighting a shift from large to small language models due to power grid concerns. It emphasizes the potential of AI in scientific discovery and the democratization of AI technology through decentralized models. The integration of AI into personal electronics and the concept of agentic AI are explored. The video also touches on regulatory changes in the US and the competitive AI landscape between the US and China.

What is the anticipated shift in AI language models by 2025?

• From small to large language models

• From large to small language models

• From chatbots to infrastructure models

• From scientific discovery to infrastructure models

What is the 'model over models' approach primarily focused on?

• Developing large language models for general use

• Creating small language models for specific domains

• Integrating AI into large-scale infrastructure

• Building AI models for scientific research

How could the 'model over models' approach impact AI accessibility?

• It could democratize access to advanced AI technology

• It could restrict AI to scientific applications only

• It could limit AI use to large corporations

• It could centralize AI development in a few countries

What is a key characteristic of agentic AI?

• It is primarily used in chatbots

• It relies on human input for all decisions

• It exhibits agency or autonomy

• It is limited to single-modal capabilities

What is the current trend in AI development between the US and China?

• China is developing open-source models

• China is leading with proprietary models

• The US is focusing on open-source models

• The US is falling behind in AI development