_pdp_

But to be honest this is all temporary. Muse, Grok, Dots will have users for the foreseeable future but there will be viable options for self-hosting too.

I am already doing it https://github.com/pdparchitect/noodle/

The Hub powers the entire family inference needs through a single device - 4 users - 8 device about 50 agents - mixture of local models and some subscriptions.

Obviously you cannot get frontier level of intelligence for coding tasks on a single Mac Mini/Studio but most people don't need that. Latest generation of open weight models are fine and in the worst case scenario bring your own regional cloud based inference services that value privacy. There are already plenty of companies in UK and Europe that provide serverless access to GLM, DeepSeek etc.

Comment · 13 days ago

I will get downvoted for this comment on this forum but I will call it out.

You wont be able to review or understand code for much longer.

There will be just too much of it. The vastness of code libraries in 5 years are hard to imagine by today's standards.

We need to develop tools that help us understand.

Comment · 16 days ago

I am super excited about this.

While right now Mac Studio is not a budget device and it certainly costs more than the subsidised subscription, the promise that one day we can run these models on commodity hardware is exciting.

Comment · 25 days ago

I could not test it because I am also facing 403 error - UK.

Anyway...

If you are interested, there is also an open-source way to do exactly this and it works with your existing subscriptions and local models too - your data is kept private on your devices.

You can make the game, stream it directly from your AI hub or play it locally on your devices. You can cast it on the TV while converting your phone into a controller (with haptics support) or you can connect physical game controllers for local co-op.

https://github.com/pdparchitect/noodle

The README does not talk about this feature but you can find videos in my twitter account.

Comment · 28 days ago

I don't understand why you would want to remove well-balanced and relatively small local-inference models that ship with every mac.

Sure, not frontier levels but fine for basic tasks and they are off-the-cloud.

Comment · 1 month ago

I did not make this but I am using it ... and so far happy user. I think Pi is supported.

https://github.com/hardbeat920/monocode

But yes, the TUIs are supposed to be lightweight yet it is overall a horrible experience.

Comment · 1 month ago

I don't really think there is much future for TypeSafe but I wish them well. In fact, I like them.

Jev is just a reminder that you can use more "traditional" forms of AI (that are not LLMs) and still get remarkable results.

We tend to forget that.

That was a surprise and that is why it went viral.

Comment · 1 month ago

It will be nice if it had persistent URLs and and SDK for desktop applications. It could solve a lot of small issues for a project I am currently busy with.

Comment · 1 month ago

AI needs tools as much as humans do.

Comment · 1 month ago

It will be solved when there is no more code left to write.

Code is an abstract concept that is not bound to the physical world and I imagine that future will have some much more of it that it is difficult to comprehend. Everything will be code and more code will be written than ever before.

Code will never going to be solved. The question is how much humans will be involved and I think the evidence is that perhaps just a bit. However, because we are talking about vast libraries of code even if we are involved in under 1% of all code and decision making that is needed around the code, there are still not enough developers out there to take on the task.

I might be wrong :)