neodypsis

I looked at the trails (lists of passages) and wondered whether it would be cheaper to build these lists by clustering passage embeddings, rather than having an LLM construct them.

What is the steam cloud for after landing?

Try one of the models with good vision capabilities and ask it to output code using build123d.

Not true. It depends on the pathogen.

You need to add sanitizer to the wash cycle, not just detergent.

I like Gemini for "architect" roles, it has very good code recall (almost no hallucinations, or none lately), so it can successfully review code edits by Claude. I also find it useful to ground it with Google Search.

Gemini's context is very long, so I can feed it full files. I do the same with Claude, but I may need to start from scratch various times, so Gemini serves as memory (and is also good that Gemini has almost no hallucinations, so it's great as a code reviewer for Claude's edits).

A combination that works nicely to solve bugs is: 1) have Gemini analyze the code and the problem, 2) ask it to create a prompt for Claude to fix the problem, 3) give Claude the markdown prompt and the code, 4) give Gemini the output from Claude to review, 5) repeat if necessary

lol, never expected that to happen here

Thanks for the reply, yeah, my interest was to test compatibility when we add support for Play Integrity to our app.

Is there a GrapheneOS image for use with Android Emulator? I want to test an app on it but got no physical Pixel device.

I've noticed 4o uses a lot of emojis, and, in general, is very enthusiastic. I find it funny. If I want a more formal bot, I switch to one of the o3 family.

Perhaps I disagree on the following:

> There’s no customer support, chatbot, or extensive documentation.

I've seen many vending machines with customer support channels. If the machine takes the money but merchandise is not delivered, people will complain.

so this "vending machine" is a postcard drop shipping website?