Interesting, I think the point about processing with GPT is important. Our thing started as naive narration but many articles are hard to follow when simply narrated.
They seem to achieve the 'multimaterial' label by soaking different parts of the polymer in exclusive precursors. If you want to create advanced microelectronics using this method, you would probably want to be able to control gel-differentiation process as part of polymerization.
Whenever I start a project I usually look for some open source equivalent for inspiration even if it's not maintained. We opened up bonsai in case someone else comes along and wants to understand how we did a few things. There are some fun hacks we had to do to make certain things work around overlaying the main window on macOS that might be helpful for other electron apps.
PropelAuth is great and a breeze to integrate! We were dreading building out B2B features like orgs and spending time making login flows for our analytics dashboard product. This was all provided out of the box with Propel.
You can tell Andrew uses it himself from the practical docs and providing nice things like express middleware. I imagine it must be a bit mind bending to dogfood the service.
This seems like a step in the right direction away from sphere-projected 'immersive' video. Very cool and can't wait for the 6dof VR player to be ready!
This looks like the sort of thing we would have needed to build ourselves to take a remote control pixel streaming project from a while back into production.
Maybe we can add anon accounts at some point. The main reason right now is to make the feedback process easier since it starts an email chain that we can follow up on. All of the best improvements recently have started with these email chains and follow on conversations.
One application of Lagrange Multipliers includes deriving the micro, standard, and grand canonical ensembles from statistical physics [0].
These can be used to simulate physical systems like magnets and particle fields.
The Lagrange Constraints are used to constrain things like probability, energy, and particle numbers. What is constrained accounts for the difference between the ensembles listed above.
The derivation of the Support Vector Machine also involves Lagrange Constraints as well!
I'll look into this. We could bundle a terminal emulator like Hyper easily. Ideally we could get access to some sort of frame-buffers for other applications. I wonder how much control apple lets you have.
One of the things that I found interesting was that as you become more expert in a field you take less notes. At the start of your PhD everything is new but by the end you know the name and research group of everyone in your field.
What does not go away is the need for a flexible and low friction way to collect and organize things like journal articles. Some sort of mental ontology about your field replaces the need for actually writing lots of stuff day to day.
https://www.biorxiv.org/content/10.1101/2022.07.13.499906v1