Andrew Ng’s interview on AI’s potential effect @WSJ
A very interesting and in-depth discussion about the current state and future prospects of Generative AI and Machine Learning!
Here are the main points and questions discussed:
The Plateau:
- The speaker doesn’t think there is an overall plateau yet for AI.
- Even if large language models (LLMs) reach a plateau, they can still be stacked with other S-curves on top to unlock new innovations.
Rate Limiters:
- Scaling LLMs is becoming increasingly difficult.
- Despite this challenge, the speaker believes there’s still more innovation to be unlocked from existing models.
Exciting Developments:
- On-device AI and autonomous agents are promising areas of research.
- Large vision models are at an earlier stage of development but have the potential to revolutionize image processing in a similar way that LLMs transformed text processing.
Resistance to Automation:
- The speaker hasn’t seen significant resistance from clients or corporate partners when it comes to automating tasks using AI.
- However, there may be some initial hesitation due to concerns about job loss.
- Candid conversations and task-based analysis can help alleviate these fears and facilitate the adoption of AI-powered automation.
Solving for Resistance:
- The speaker suggests that a non-technical understanding of AI can unlock brainstorming and ideation opportunities at the executive level.
- Education and awareness about what AI can and cannot do can also help mitigate concerns around job loss.
I’d be happy to provide further clarification or insights on any of these points!