I also think different ideas get conflated. It may be possible to build a machine that is super-human in the sense it can outperform the human brain in all kinds of measurable ways. Does not imply it possesses all the same qualities of the brain.

I respect a number of things Anthropic has published about the ethical issues at stake. But, having an in-house philosopher does invite you to make all kinds of unfalsifiable claims.

We don't really have leaders with the maturity and perspective (and lack of self interest) certainly in Government and questionably in tech that can be trusted to advocate for human dignity, so the release of this document from the Pope is a remarkable event.

However I think it’s very important to approach such questions objectively, or at least self uninterested, and not as one who’s worried about one’s job or sense of self worth threatened by LLM technology.

The value is in the development of one’s own mental faculties. In math classes they tell you you have to work the problems. Even if LLMs become capable of solving entire classes of problems that that set expands over time, the value in developing one’s ability never goes out of style.

I was thinking, this argument is suspicously cogent!

Have it create a swift app, unless extended permissions are needed it can compile withouy going into xcode.

Few simple util apps, disk cleaner, clipboard manager. Worked pretty well.

Had better results than using xcode's built in ai extension.

When the mass surveillance scandal, or first time a building with 100 innocent people get destroyed by autonomous AI, the company that built is gonna get blamed.

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Been playing around with Apple containers. Fast! (I like to keep all my work in browser tabs)

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Runs git checkpoint every time an agent makes changes?

Uses Mlx for local llm on apple silicon. Performance has been pretty good for a basic spec M4 mini.

Nor install the little apps that I don't know what they're doing and reading my chat history and mac system folders.

What I did was create a shortcut on my iphone to write imessages to an iCloud file, which syncs to my mac mini (quick) - and the script loop on the mini to process my messages. It works.

Wonder if others have ideas so I can iMessage the bot, im in iMessage and don't really want to use another app.

One of the first things I tried to have an llm do is transpile. These days that works really well. You find an interesting project in python, i'm a js guy, boom js version. Very helpful.