Cool project. Call me pessimist but all of these workflow/scaffolding/hooks are being absorbed by the model makers like ChatGPT and Anthropic. In fact, my personal setup with Claude Code is somewhat similar to this setup, except I bend it in CLAUDE.MD
I am doing this and it's fun! The only hassles I had are a. setting up DDNS (since I don't have a static IP) and b. getting a certificate from Let's encrypt with only port 443 open (80 is blocked by my ISP). But other than that, it has been great! Hopefully my ISP won't have a problem with that ;)
> “Biological objects can have a complexity that cannot be simulated by a digital computer,” Austin says.
I couldn't find more details in the article. Any idea what those details that couldn't be simulated with digital computers (but could be with the simple robots) might be?
Sorry for not being clear, I meant when all 21 million bitcoins are mined. The transaction fee is pretty small compared to the reward from the new coin, right? Also, since many cryptos have addressed the incentive issue. Maybe let's just focus on bitcoin specifically?
The rear facing camera seems to have a nice upgrade. However, apart from AR applications, I found it weird to hold a 12 inch tablet in the air to take pictures while everyone could see my screen.
I just implemented something very similar last week! I store the note in a Raspberry Pi which I can access anywhere. Also with iOS shortcut, I can easily send note to my Pi from my iPhone's clipboard.
When using ML models to deal with natural science such as physics, working well+being interpretable actually implies new discovery. Working well only, on the other hand, cannot win you a Nobel Prize.
Qiskit[0], the framework that IBM Q uses, also has a awesome community and the introductory textbook called "Learn Quantum Computing using Qiskit" [1]. The "Quantum Algorithms" chapter is thoroughly documented both from theoretical and coding perspective.