alsodumb
Joined 4 years ago
Joined 4 years ago
Take for example CUMTD (mtd.org), the transit agency serving Champaign-Urbana, a college town in Illinois with about 200k people. It's an excellent bus system, everyone in the city loves it, the people running the place always embrace new technology, and they actually have a hydrogen plant setup in their depot and the plant is powered 100% by solar energy: https://mtd.org/inside/projects/zero-emission-technology/
I've always had better experience with Claude in day-to-day coding and text writing, and looking at public forums that largely seems to be the case.
They do have an RL controller running for the legs, but it's just an intermediate controller and it probably get high level commands from a teleoperator. The upper body is purely teleop.
Well, Meta poured a shit ton of money into making Quest base station free and they got there. We use to use valve setup for our robotics applications but we swapped it out with Quest cause honestly Quest was as good but much more easy to setup and operate.
The bitter lesson is that don’t bet against data or compute. Also, I don’t think you’d have to train a AI model for each location at every time in the future. Things get more efficient, etc.
Rerun natively supports the server and the viewer being on different devices (https://rerun.io/docs/reference/sdk/operating-modes). In your case, in the script you are dumping data into csv, I'd add the relevant lines to log data to rerun.
On the desktop side, you can spawn a viewer that can listen to the stream and visualize it.
I tried my best to explain it to them, and nudge them to using docs. I did live debugging sessions with them to try and 'teach' them how to use docs. Ultimately, it was taking away too much of my time for little to no return. I only started working in the industry like a month ago and it's my first time having interns that I didn't pick (back in school, I had undergad research assistants that I interviewed/selected, and they were all excellent) - still learning the ropes.
For a long time, I had my own observability suite - a messy library of python scripts that I use for visualizing data. I replaced all of them with rerun (https://rerun.io/) and if you are someone who think Scipton is exciting, you should def try rerun too!
I use cursor/vscode for my development and add a line or two to my usual workflows in python, and rerun pops up in it's own window. It's a simple pip installable library, and just works. It's open source, and the founders run a very active forum too.
Edit: One slightly related tid-bit that might be interesting to HN folks. rerun isn't that old, and is in active development, with some breaking changes and new features that come up every month. And it means that LLM are pretty bad at rerun code gen, beyond the simple boilerplate. Recently, it kind of made my life hell as all of my interns refuse to use docs and try using LLMs for rerun code generation and come to me with a messy code spaghetti. It's both sad and hilarious. To make my life easier, I asked rerun folks to create and host machine readable docs somewhere and they never got to it. So I just scrape their docs into a markdown file and ask my interns to paste the docs in their prompt before they query LLMs and it works like a charm now.
In other words, is it safe to assume that for entity in a zip code is less than x distance away from the closest entity in the same zip code?