>be david holz
>start leap motion at 22
>$10M in pre orders in 48 hours
> 600M parameter neural nets in 2015, pre tensorflow
>has bad experience with nature of a VC backed startup
>$200k in his pocket after leap motion
>wants to work on tech ideas that are pro human
>starts playing around with diffusion models
>images feel strange and weird and magical
>wants to start company but bootstrap it
>asks google to reserve 10,000 GPUs, they say "ok"
>launches midjourney, $100M in 9 months
>goal was to make enough to do ambitious R&D projects
>fast forward 2026
>announces ultrasound-based full-body scanner
>wants to bring full body scan to billions of people
>as powerful as an MRI, as casual as a trip to the spa
>entire timeline white-pilled
There’s never been a better time to start developing building with quantum. Learn the basics, install Qiskit, and run your first code on a real quantum computer today.
Start building here ⤵ https://t.co/ixj3TfQoxn
What is quantum advantage?
As we see it, it’s a collective understanding that quantum systems can solve some problem(s) classical computers simply cannot. 🧵
we kept it a secret at leap motion that i filmed and edited all the videos myself - its been now ~10 years since i filmed and edited a video like this and i was honestly quite nervous that my skills weren't up to par for the task - but im very happy everyone seems to like it!
Before AI: One person does the work.
After AI: One person does the work with the help of AI, another person reviews and validates it.
Job shortage solved.
We're hiring FDEs! Be part of building, shaping, and defining the frontier of AI -- the heart of which is novel, economically valuable evals -- with strategic customers. :)
https://t.co/VgqiYWhV48
QS has ranked MIT the world's No. 1 university for the 15th year in a row: https://t.co/oyMtqFcxJ9
The Institute has placed first in subject areas such as:
- computer science & information systems
- data science & AI
- & electrical & electronic engineering.
How do agents use browsers, and how are thousands of them served over the cloud in a memory-efficient way? I was reading through Browser Use's blog and found their answer. It starts with running a VM inside a VM.
Browser Use runs Firecracker VMs on regular EC2 instances, where AWS has already placed your server inside its own VM. Yeah, that is a lot of virtualization. The normal way to run Firecracker is on a bare-metal server, where you rent the entire physical machine. But running it on regular EC2 is cheaper and easier to set up.
So every browser session becomes a VM inside a VM. The downside is that any request from the inner browser VM now has to pass through two layers to reach the host, not one, and that extra hop costs time.
The place this shows up most is memory.
A browser VM does not start fresh each time; it wakes up from a snapshot that was paused right before Chromium opens. The first time it touches a piece of memory after waking up, the host has to load that memory back in. This is a classic page fault.
With two layers, each page fault has to cross both of them, so it costs more, and a browser waking up touches a lot of memory at once.
Early on, page faults made up 72% of all the pauses the VM had to take to communicate with the host. So the fix they applied was simple: instead of loading memory in small 4 KB chunks, the VM now loads it in 2 MB chunks, 512 times larger (similar to transparent huge pages).
Larger chunks mean fewer page faults, and fewer page faults mean fewer expensive trips across the two layers. This one change brought the wake-up time down from 9.8 seconds to 3.1 seconds.
Classic CS is always super interesting and evergreen. Hope you also found this interesting.
We're rolling out Brain: a self-improving context-graph of all your sessions, connectors, and files.
Brain updates itself overnight with fresh context proactively, and feeds itself to every task on Computer, allowing Computer to be stateful and self-improving.
Available to all Perplexity Max subscribers.
For those who don't know, Sanjay and I often work closely together. You can read more about our working style in this delightful New Yorker article written a few years ago by @jsomers.
https://t.co/EInvzCjPEo
I really want to thank @RealAnkush for B+ Tree task in @RealDSA_. Because of it, I don't see databases as black boxes anymore. I actually understand how they store information now, and I am even thinking about building a DB from scratch from FIRST PRINCIPLES APPROACH as a project
I’m excited to share that I’ll be joining OpenAI and look forward to working with the exceptional team there.
It was a difficult decision to move on. I’m incredibly proud of the amazing team at Google and everything we’ve built together. It has been an honor and a pleasure to work with all of you.
Introducing Brain in Computer.
Brain is a continuously learning memory system. Every task on Computer plugs into a context graph built by Brain.
It makes Computer more stateful with every run.
Available as a research preview for all Perplexity Max subscribers.
🇨🇦🇨🇦🇨🇦Canada Day in SF! 🇨🇦🇨🇦🇨🇦
Hosting a fun Canada Day celebration in SF this July 1st with the @console__ and @lighthousehq_ team!
👇Let me know below (or dm) if you'd like an invite!
Here are 3 things that no one tells you about FAANG companies.
I was able to break free from the golden handcuffs because I asked myself these 5 questions.
If you are on the fence about making a similar decision, check it out; it will definitely help you.