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)
I've now added Wispr, Notion, Granola, Fireflies, Zoom, Gemini, Cluely, Otter, Fathom, Read AI, and Wingrep to every meeting.
Each produces slightly different meeting notes.
I send all of them to Claude and ChatGPT, which push the summaries into Slackbot and Salesforce AI. Linear agents automatically create tickets while Notion agents create follow-ups in Notion. A Zapier workflow then uses 500k tokens to draft a follow up email in Superhuman.
None of it works and all of it is wrong but man, is it beautiful.
AGI is here.
9⃣ One of the large global pharma companies will acquire one of the leading protein AI startups. 🧬
🔟 BCI will transition from a fringe frontier field to a mainstream technology and startup category. Neuralink’s position as the clear category leader will become shakier. 🧠
Between this and @ListenLabs it’s pretty clear most market research agencies are going to struggle.
This is a massive market - I used to work at L’Oreal and a simple study would be 7 figures….in 2011. It would also take 6 months.
These are also great businesses (eg Gfk does $2B+ revenue, Ipsos same). AI is now going to make understanding ‘what people want’ trivial
Five months ago, we launched @simile_ai with the belief that simulation would become a new way for the world to make decisions.
Today, that belief feels less like a thesis and more like the beginning of a new category.
Incredibly proud of my team. We are just getting started.
It's time to scale that Simile.
Our ambition is to build a foundation model that can predict what anyone will do in any situation.
Research-wise, Simile in 2026 for simulation is like OpenAI in 2019 for AI assistants - signs of life, a path to scaling, yet still many open research questions.
Commercially, Simile is already a company with many amazing enterprise partners who understand the potential of simulation and will help us grow sustainably.
If simulation and this special combination of research and product is appealing to you, we’re hiring.
Today we’re announcing our Series B.
We’ve raised $200M at a $2B valuation from Greenoaks with participation from Index Ventures, Hanabi, A*, Bain Capital Ventures, CVS Health Ventures, and Definition.
Our mission is to simulate all eight billion people on earth, accurately.
One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lean back, switch to /voice and just ramble for like 10 minutes, total mess, anything goes, full stream of consciousness. Sometimes I declare it up top, something like "switching to speech recognition sorry for any typos...". Sometimes I turn it into a small interview of a few turns. But I find that the LLMs are somehow very good at reconstructing long incoherent rambles and often their echo of your own tangle of thoughts comes out quite a bit cleaner than what you started with. The result is that you improve the mind meld and have to correct things less from that point on.
i hooked my whoop to my work calendar to find which coworker gives me the most stress 🚨
thanks to fable, I reverse engineered whoop to pull per minute heart rate. nd matched spikes with cal events and attendees
I now have a leaderboard and I think about it daily.
few info masked for obvious reasons ;)
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
If I wanted to spend a LOT of money to live a Rich Life, here's what I would spend it on:
- Walkable neighborhood
- Health: Personal chef, trainer, therapist
- Childcare: Nanny, night nurse, babysitter
- Travel: 2x-a-year family trip
- Exec assistant
What would you add?
It’’s May 1st. Labour Day in India.
The house help came. The cook showed up. The apartment security gaurd & housekeeping staff is on duty. Only me and my laptop class friends taking a break to “celebrate labour.”
Irony is now a public holiday.
TIL Near the poles in summer, the sun doesn't set. It just rolls around the sky like a lazy pinball—never quite dipping below the horizon. It’s called the Midnight Sun. Surreal to watch: https://t.co/2iKCegJLKy