properbrew

> please only use official builds

Wasn't this an official build though? A signed updated version of a package released by the same developer as the one you've already installed, the supply chain was hacked.

Not true at all, especially in this scenario (emergency), when you finally leave hospital there is no bill to pay for the treatment you received.

> Currently using F5-TTS

Thanks for listing the model you're using, I've not really done any TTS stuff and this sounds like a fun thing to spin up.

> It seems like LLMs are great for the kind of generic work you'd usually pawn off to a new associate or paralegal

This seems to be the case with most industries that LLMs are impacting, coding, data input, legal etc.

Whilst it's great to get the time saving from not delegating to a junior (LLMs are much faster at the basic level 1 work) there's going to be this big knowledge gap that you really only gain from actually doing the mundane boring shit.

A lot of this _should_ be automated away, but we really need to think about how the next group of people are going to learn the skills and nuance to applying them. I don't really have an answer to that one other than still giving that work to junior staff, but they will then just utilise an LLM to help complete the job, and rightfully so, I'd have done exactly the same thing.

I think OpenAI tried doing this with some early chatgpt settings with "learning mode" or whatever that is. But an LLM just telling you what to do will never teach someone, there was something about having to go out and hunt for the answer through the sea of crap responses or wrong SO questions that really taught you something. How do you replicate that learning with an LLM and how do you apply that to different industries like Law?

Honestly, probably open up codex/Claude/pi in the folder and ask it where to start. Modern LLMs are crazy good.

For example I had a VR setup of GTA5 with adaptive triggers during covid but it eventually degraded due to updates and compatibility issues. Quite literally today I opened codex and had it up and running with custom patches for some bugs I used to deal with in a few hours.

I would start by asking it how to start and then digging away.

> “The first slow-motion video of a butterfly I put through our bird-vision computer model was glowing with downwards motion even though the butterfly was moving up.

Yep, really would have loved to see that video. Why mention it and not link to it.

But what if they no longer have to "tolerate mucking out the stables" and can instead focus on riding.

We could go back and forth on the analogy but I think it comes down to one of two things:

1. You enjoy writing code to fix a problem

2. You enjoy fixing problems and solve that by writing code

If you're in camp 1 then AI feels extremely unfulfilling and understandably so, for camp 2 it's a whole new world.

Thank you, the fact that's all you picked up on makes me very happy.

I can see the analogy, but fundementally that human liked caring for animals, they didn't like transporting the goods as effectively as possible, if they did then sitting in a box optimising delivery time would make them feel useful and respected.

The human in your analogy would be better off working with animals on a farm, or vet practice, where the technological advances that deliver better care to animals would make them feel even more fulfilled.