I made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table
about 10sec for 1k rows ~ better than using an LLM, way more ergonomic than a classifier
game-changing for data analysis!
Your Semantic Layer is not a Context Layer. And neither of them is an Ontology.
If you are building data workflows for autonomous AI agents, it helps to know the difference.
-Semantic Layer: The rigid logic compiling to SQL (metrics, dimensions).
-Context Layer: The unstructured human knowledge (docs, wikis) agents desperately need to make decisions.
-Ontology: The "digital twin" mapping your real-world business entities.
Dive into Simon Spรคti's new primer to see how to organize your data architecture for the Agentic Era: https://t.co/occq09z3iP
Our friends at @duckdb are leaving the nestโ Amazon is acquiring the team behind DuckDB. ๐ฆ
DuckDB stays open, the Foundation keeps the IP, and the community keeps growing. A rising tide lifts all Ducks.
What it means for MotherDuck( ๐
Indeed, it has been quite a week, so I thought I'd share it with the KDD 2026 audience! For my Google colleagues who might have sent me internal chat messages after I closed my laptop for a final time on Thursday afternoon, I apologize for my lack of response!
(Zoomed in)
A lot of people have been asking what actually happened during my 1:1 with @JeffDean.
I didnโt expect my original post below to blow up like this, so hereโs the full story of what happened:
A320 navdata update with a 1.44 MB floppy disk. Disk 1 of 13.
It loads the current navigation database into the FMGC... airports, runways, navaids, waypoints, airways, SIDs, STARs, approaches, the lot. Still happens every 28 days on a lot of older frames. Most Gen Z have never seen one of these in real life.
Tomorrow will be my last day at Google after 27 years, and watching it grow from 25 people to 190,000+ has been an amazing journey. Below is a note I shared with many people internally at Google today. An excerpt is:
It has been an absolute pleasure to work with you and to help build some of the most widely used and impactful products of all time. As a kid, I dreamed of helping build software that would be used by many people, and Google now has thirteen products used by more than a billion people (amazing!). Our work has had a tremendous impact in the world, and I have been lucky enough to collaborate and form friendships with many colleagues that I deeply admire, respect, and enjoy. It still brings me joy every time I see people out in the world using our products to find information, handle email, translate documents, watch videos, learn new things, navigate and understand the physical world, browse the web, use their phone, run large-scale computations on our infrastructure, ride in an autonomous vehicle, or perform complex tasks with the help of our AI systems. I hope you all share this sense of joy, because it is a shared accomplishment! Thank you to all of my colleagues at Google over many years!
Now I'm excited to go start @DiscoLoopAI with my longtime friends and colleagues @Sanjay_Ghemawat, @OriolVinyalsML, and @quocleix.
(Updated post: slightly redacted to not have some personal info)
@_chenglou I was part of that team. Basically ChatGPT one year before it came out. Called LMChat and then another codename.
Google was too nervous to release it and DeepMind was blocked from shipping products that could disrupt Google.
I think about this a lot.
Now in beta: Notion as code.
Define an entire workspace in TypeScript: teamspaces, databases, custom agents, all of itโฆ then deploy it through the API.
Build workspaces with coding agents, version-control your setup in git, and reproduce the same setup anywhere you need it.