Viewpoint
AI should adapt to human attention rather than demand multitasking
AI should adapt to human attention rather than demand multitasking
Sottiaux says AI products should manage information and interruptions around human attention, with sufficiently fast models enabling users to remain in a continuous creative flow rather than manually coordinating many parallel agents.
- Interview
- How to Understand the Next Wave of AI Before Everyone Else | Thibault Sottiaux and Matthew Burman
- Speaker
- Thibault Sottiaux
- Topic
- Personal AI agents
- Source timestamp
- 11:17
More from this interview
- Fast experimentation should coexist with coherent product quality
- Companies must remain willing to disrupt themselves
- Personal agents should deeply understand and adapt to users
- Future agents will need resources beyond personal laptops
- Some complex processes can become mostly autonomous
- Coding and general-purpose AI are converging into one agent
- AI interfaces should become ambient and natural
- OpenAI focuses more on its strengths than competitors
- Product failures should be compensated rather than merely acknowledged
- Frontier models can help optimize their own supporting infrastructure
- Recursive improvement extends beyond models training models
- Greater model capability requires greater safety investment
- Ultra-fast AI is especially valuable when every second matters
- Low latency enables more interactive creative workflows
- Today's ultra-fast speeds may become broadly standard
- Efficiency gains can make advanced intelligence broadly accessible