Ever consider there's reasons to study Computer Science at the collegiate level, other than making yourself a more desirable worker?

Only if you’re so rich that your degree doesn’t need to pay for itself.

One of my friends argues that we've reached maximum CS knowledge. We'll just use AI and neither it nor us will learn anything new.

However if you view your content as valuable and the algorithm does not anymore, it's probably not the best platform for you to be on.

Haha. Was just thinking that as I was reading a comment!

I was thinking, this argument is suspicously cogent!

This comment seems like it was written by AI.

Have had good results on MacOS just using codex (or your cli of choice).

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.

I wouldn't underestimate this as a good business decision either.

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.

Gorgeous UI! Will try it out.

I know about "the entire developer world has been refactored" and all, but what exactly does this thing do?

Runs git checkpoint every time an agent makes changes?

Made a quick bot app (OC clone). For me I just want to iMessage it - but do not want to give Full Disk rights to terminal (to read the imessage db).

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.

Beeper API

Compilation is transforming one computing model to another. LLMs aren't great at everything, but seem particularly well suited for this purpose.

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.

Forest for the trees.

You see a business you like, boom competing business.

These are going to turn into business factories.

Anthropic has a business factory. They can make new businesses. Why do they need to sell that at all once it works?

We're focusing on a compiler implementation. Classic engineering mindset. We focus on the neat things that entertain us. But the real story is what these models will actually be doing to create value.

Useless if it takes > 5 sec. to load a page

You never lived the 90's

lol.

Not only did it take > 5 seconds to load a page, images were progressively loaded as fast as two at a time over the next minute or so - if there were no errors during transfer!