1. Cursor is multi-model, meaning you can use at least a dozen different models.
2. Cursor's UI allows you to edit files, and even have the good old auto-complete when editing code.
3. Cursor's VSCode-based IDE is still around! I still love using it daily.
4. Cursor also has a CLI.
5. Perhaps more importantly, Cursor has a Cloud platform product with automations, extremely long-lived agents and lots of other features to dispatch agents to work on different things at the same time.
That's just in reference to the technique itself. They're basically saying it's okay for Google to use distillation to train Gemini N Flash using Gemini N-1 Pro (which they do).
As someone with a 5:38 delta, I'm very anxiously waiting for BAA to announce the official cutoff.
In the meantime, if you're at all curious about the kinds of levels to which people go with trying to predict the cutoff check out this blog[1]. This is from Brian Rock [2], who every year collects data about a lot of marathons all over the world and then tries to guess the official cutoff for the Boston marathon. Very cool stuff!
Neon — Ship Faster with Postgres (https://neon.tech) | Remote | Full Time
Neon is a distributed team building an open-source, cloud-native Postgres platform. We are a well-funded startup with deep knowledge of Postgres internals and decades of experience building databases. Our storage layer is written in Rust, and our cloud control plane is written in Go. We are on a mission to enable developers to “Ship faster with Postgres”. We are hiring for:
* Product Engineer to work on the UI/UX for an agent. Experience with full-stack development and AI is required.
If you want to learn more about the engineering work we do, check out some of these blog posts:
You should check out Cursor 3 :)