Notional Volume by Perp Dex Last 7D 📊 ▫️@HyperliquidX - $59.8B ▫️@tradexyz - $21.2B ▫️@Kalshi - $19B ▫️@Lighter_xyz - $13.1B ▫️@Aster_DEX - $11B ▫️@GMX_IO - $7.1B ▫️@Polymarket- $4.9B ▫️@edgeX_exchange - $4.5B ▫️@Ondo - $1.9B ▫️@fomo - $783.7M

Notion AI lead @sarahmsachs predicts AI agents will work like Excel formula cells within a year, making today's endless AI slop look ridiculous: "Formula cells are just like Google Sheets or Excel. You see the value, you don’t see the formula. I think most of our context is like that. Humans don’t need to look at it unless they double-click into it." "Today, when we work with agents, we see their vomit of information. They show their work, and we’re inundated with it." "Creating valuable and rich AI product is being able to provide that metadata to other agents when they collaborate, and figuring out what humans need to know and understand. Because agent-to-agent collaboration and human-to-agent collaboration are different." "There’s no PRD that I have for you that says exactly how we’re gonna do that. But that is something that we’ll look back at where we are today and look at the slop that we’re looking at on a daily basis to try and do our human-to-human work and laugh at it." @NotionHQ

Notion AI lead @sarahmsachs argues that a lot of what runs on GPUs today should actually run on CPUs: "We have a strong perspective at Notion that a lot of things should be served on CPU that are served on GPU. There’s a lot of benefit and determinism in executed code." "Agents don’t need LLMs to reinvent that process every time, and that’s super token exhaustive, it’s super slow, and there’s no observability or determinism in it." "Giving the agent a local file system to store local thoughts, to write short Python scripts, that’s really important when there’s so much information. That has been probably one of the most important tools outside of edit and search that our internal agents rely on." @NotionHQ

Notion AI lead @sarahmsachs explains why AI models have become 2–3x more capable in just a year, yet knowledge workers haven't seen the same productivity gains: "Every time a new model comes out, what is the capability overhang of AI? Where is AI super capable at doing things, but the process, the product, and the permissions don’t exist." "If you were to look at where we were a year ago with where AI models are, I would venture to say they’re two to three times, if not more, better. I don’t think all users of Notion, or knowledge work in general, are two to three times more efficient than they were a year ago. So what’s that gap?" "There’s human-to-human collaboration, and there’s human-to-agent collaboration. Now we’re getting to a place where there’s agent-to-agent collaboration. We need to start thinking about how agents can interact with each other, especially in the age of agent sprawl" "Having that context layer that can work with multiple agents so those agents can contribute and work with each other will be the defining feature of a healthy process." @NotionHQ

Notional Volume by Perp Dex Last 7D 📊 🥇@HyperliquidX | $48.1B 🥈@Kalshi | $14.9B 🥉@tradexyz | $12.2B ▫️@Lighter_xyz | $11.7B ▫️@Aster_DEX | $10.8B ▫️@GMX_IO | $8.8B ▫️@edgeX_exchange | $6.4B ▫️@Polymarket| $4.0B ▫️@Ondo | $1B ▫️@fomo | $852.5M

Notion's AI Meeting Notes run on Baseten, and Baseten's knowledge base runs on Notion. Our teams have been working together closely to push the frontier on both fronts. For AI Meeting Notes, our voice engineers built the fastest, highest-quality, yet lowest-cost solution on the market for speaker-attributed transcripts. We're proud to partner with the @NotionHQ team.