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Comment · 4 years ago
Comment · 4 years ago
I don't know if VBB used this, but most transit agencies publish their data in two standard formats these days GTFS for static schedules and GTFS-real time for real-time data. Any application you build around these formats would immediately scale to pretty much every big city.

Google maps and Apple maps provide transit directions in their apps using GTFS and GTFS real time data (partly the reason why Apple maps was able to add transit directions feature so easily - Google had to deal with the transit agencies years before that and convinced them to publish data in open source standard formats).

Comment · 4 years ago
It's also a popular meta-learning algorithm: ALPaCA: https://arxiv.org/abs/1807.08912

Well no one cares unless one of the parties has enough money and interest to hire a lawyer.

Comment · 4 years ago
Many vocal users, tiny set of their overall users.
Comment · 4 years ago
Comment · 4 years ago
Oh that wasn't my intention - Shazam was and is groundbreaking, they did it when no one else could. All I meant was that it seems more "doable and I probably understand how it works" when compared to how Google assistant recognizes songs from my humming.
Comment · 4 years ago
Shazam used to wow me, but then as others mentioned in the replies it's essentially matching the signature of the sound to the sounds in the database. If it's one of the song, it gets matched fairly quickly.

Wow blew my mind was when Google introduced 'hum and we'll recognize the song for you' in Google assistant: https://www.google.com/amp/s/blog.google/products/search/hum...

It works so well even with my shitty humming - even my girlfriend can't recognize what the song is but Google can. It doesn't even have the same signature as the original audio file, just similar hums in a noisy environment and it still works. Black magic fuckery.

Comment · 4 years ago
From a quick glance, Notion has the highest valuation per employee (10 Billion USD for 350 employees).

Some of the companies are really bloated imo. Canva has 3100 employeee? Seriously? Yardi lists 8000 employees but no valuation? 8000 seems like a lot, no? That's the same as Stripe, that has a 90 billion USD valuation.

Comment · 4 years ago
What is the basis of your statement that the factories are never inspected or the products are tested?

I interned at a pharmaceutical company's factory in India for the summer that used to regularly export medications to it's subsidiaries in the western world including United States. The standards are super high, we literally threw away millions of medications due to small uncertainty in a Quality control check.

Besides the local regulations and inspections, a team from FDA regularly visited the factory to audit it for like 10-15 days. Just for one factory. I distinctly remember this as we had a more americanized menu for lunch when the team visited LMAO.

So yeah, when you don't know or are not sure, please don't make statements like "factories are never inspected". It makes it seem like you know something, which you clearly don't.

Comment · 4 years ago
And what makes you think Amazon doesn't do that yet? Kiva systems did what Ocado does now a DECADE go. Amazon acquired kiva systems (infact, Amazon robotics was born out of this acquisition) long long ago and I'm sure can do a lot more than Ocado does now.
Comment · 4 years ago
I could be wrong, but I don't think Applied Intuition and Polymath have the same product or business plan. Applied Intuition has a high-fidelity simulator as the main product, Polymath has actual autonomy stack (hardware and software for real world robot) as the product with a low fidelity simulator that gives devs a playground before actually deploying it on a real robot. You can problem train your ML algorithms using the synthetic data from Applied Intuition but Polymath simulator doesn't serve that purpose - they are using real-world data to develop their autonomy stack.
Comment · 4 years ago
Congratulations on the launch Stefan and Ilia! I'm a PhD student in robotics and autonomy and I've always wondered why something like this already didn't exist, at least for 90% of the 'doable' field robotics tasks. I think you're closer to what Skydio did in the autonomous drones for enterprise space - abstract the autonomy part and just put a little effort into customer-specific requirements. A couple of quick questions:

1. When you say you're built on top of ROS, do you mean the autonomy stack you'd deploy in an actual robot is built on ROS? Are you using ROS or ROS2?

2. What hardware does your current autonomy stack use? For parts of your stack that'd depend on using deep learning based methods (e.g. any image or lidar data), the models that you'd train would have to use a lot of collected and annotated data specific to a particular problem/industry and this would take a non-trivial amount of time, especially since you said the camera/sensor configuration is not fixed can can potentially be decided I the simulator by the user. How do you plan to tackle this?

PS: Any potential internship opportunities at Polymath in the coming few months that I can apply to?

Comment · 4 years ago
Conda let's you install a specific cuda version directly in a virtual environment with one click though. It's really useful when you have to switch between multiple PyTorch versions and convinient in general imo.
Comment · 4 years ago
I don't think Jeff cares about SEO. He was out probably looking for a simple domain and I'm sure algorithms.com, algorithms.org etc. were already taken.

If I had to pick between say algorithms.me and algorithms.wtf, I'd definitely go with the second one, especially because students like me will remember it for life.

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