It’s not exactly hard. It’s really simple. It’s just shit to use.

No, we are nowhere close to learning as the human brain does. We don’t even really understand how it does at all.

The point is to encode solutions to problems that we can’t solve with standard programming techniques. Like vision, speech recognition and generation.

These problems are easy for humans and very difficult for computers. The same way maths is super easy for computers compared to humans.

By applying techniques our neurones use computer vision and speech have come on in leaps and bounds.

We are decades from getting anything close to a computer brain.

It is conceptually the same thing. A series of interconnected neurons with a firing threshold and weighted connections.

The simplification comes with how the information is transmitted and how our brain learns.

Many functions in the human body rely on quantum mechanical effects to function correctly. So to simulate it properly each connection really needs to be its own super computer.

But it has been shown to be able to encode information in a similar way. The learning the part is not even close.

At work both my monitors and networking go through the same port. The monitor also acts as a usb hub.

You can buy an adapter and plug everything in one port.

I love it personally.

I love it personally. At work I have two monitors, networking, mouse and keyboard all going through one port. So much easier in my opinion.

Seems unlikely as that’s essentially what we had before and they were not very good at all.

LLMs are based on neural networks which are a massively simplified model of how our brain works. So you kind of can as long as you keep in mind they are orders of magnitude more simple.

It is correct. Half is 3/6 a third is 2/6. So a half is one third larger than 1/3

This is a really interesting and actually useful application of AI. I’m all for it.

It’s essentially why people have moved away from server side rendering.

It is way less resource intensive to send just the data and let the client do the rendering. Both in data transfer and compute.

QBasic was my first language when I started learning around the turn of the century. I remember it being super accessible even with the limited learning resources of the time.

The obvious problem is that I would have been quicker to write the function yourself than the examples.

I use the ai daily at work. But more as an interactive docs and refactoring tool.

My git gui has a tick box on that prompt to specifically include added files. I now see why haha

Every new project for me starts with setting up git. There’s no reason not to. It takes seconds.

Lookup Unix socks

Semi auto properties and params collection are long overdue. Great to see them in there.

System.Text.Json respecting nullability is also great. But may break some things if you didn’t realise you were relying on the old behaviour.

LoggerMessage source gen using primary constructors fixes a minor pain.

EF generating SQL at compile time is also pretty sweet. Better query performance from precompiled and better startup performance from not having to precompile at runtime.

All in all it looks pretty good.

Every time I create a new repo haha I usually just delete the runs and squash the commits so it looks like I got it first time.

I think it being the 4th one is more the issue really.

That name doesn’t roll off the tongue too well!