This episode is sponsored by Notion. I’ve been using Notion to manage my professional and personal life for almost 10 years. As a company, they pay attention to the craft and ideas underlying the software they build, and that comes through in the experience of using Notion every day. If you’re a startup, get up to 6 months of Notion Plus with unlimited AI—worth up to $6,000—for free by going to [ Ссылка ], selecting Every in the drop-down partner list, and using the code EveryXNotion.
Notion cofounder Simon Last told me everything he’s learned from integrating AI into a platform that has over 100 million users.
Simon likes to keep a low profile, even though he’s the driving force behind Notion AI, one of the most widely scaled AI applications in the world.
In his first-ever podcast interview, we get into:
- What he would build if he started Notion from scratch today with AI
- How to get high quality and reliable results from AI at scale
- The future of human creativity in a world with machines that think
This is a must-watch for anyone interested in building reliable AI products at scale.
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Timestamps:
00:00:00 - Episode start
00:01:57 - Introduction
00:02:28 - How AI changes the way we build the foundational elements of software
00:10:07 - Simon's take on the impact of AI on data structures
00:13:05 - The way Simon would rebuild Notion with AI
00:23:39 - How to design good interfaces for LLMs
00:28:22 - An inside look at how Notion ships reliable AI systems at scale
00:35:41 - The tools Simon uses to code
00:38:16 - Simon's thoughts on scaling inference compute as a new paradigm
00:49:10 - How the growing capabilities of AI will redefine human roles
00:50:28 - Simon's AGI timeline
Links to resources mentioned in the episode:
Simon Last: @simonlast
Notion AI: [ Ссылка ]
The AI code editor Simon uses: Cursor
OpenAI’s definition of AGI that Simon ascribes to: [ Ссылка ]
