Lol

If you ever try a mac laptop - there is simply no way back. I've got top tier Lenovo and Dell - the build quality is just incomparable. And that is sad. They may have edge on separate components - e.g. a gorgeous screen,but not the combination of it all.

https://sauna-assistant.com - sauna master in your pocket

Everyone can do 0 to 1. Because delivery drives dopamine. The it is the boring thing, but there comes experience to find interest in that part

Oh boy you're wrong. Many people (including myself) are experts at doing 0 to 0.8. The rest is much more difficult.

This is very subjective of course. Some might do only 0 to 0.1 and claim it is 1

True. Some people announce their OSS project and upload it to package management the day they start. While I develop something for two years and still find myself hesitatkng whether it’s good enough to announce.

This is news to me having watched many many many people fail to do 0 to 1.

Maybe you're just a really really good engineer and product thinking hybrid!

This has nothing to do with part price. They sell for what people pay. And this new neo is for putting scale, but 8gb means you get hooked and then "climb the ladder"

OpenAI again making confusion with names...

Given their close ties to Microsoft, I expect to start seeing names like "ChatGPT One" and "ChatGPT OneX"

Which would be an improvement over the already existing "GPT-5.1-Codex-Max-xHigh"

.Net copilot GPT

Sounds like a Ubiquiti security camera now.

How much $ do you burn in tokens?

I don't understand the mac mini hype. Why can it not be a vm?

I don't know but I'm guessing that it's because it makes it easy to give access to it to Mac desktop apps? Not sure what's the VM story with Mac but usually cloud VM stuff is linux so it may be inconvenient for some users to hook it up to their apps/tools.

The question is: what type of mac mini. If you go for something with 64G + +16 cores, it's probably more than most laptop so you can run much bigger models without impacting your job laptop.

64GB Mac Mini is easily in the $2000 territory. At that point you might as well just buy a DGX Spark and get proper CUDA/Linux support.

It absolutely can be a vm. Someone even got it running on a 2 dollar esp32. Its just making api calls

it's because Apple blocks access to iMessage and other Appe services from non Apple os.

If you, like me, don't care about any of that stuff you can use anything plus use SoTA models through APIs. Even raspberry pi works.

No, this is "AGI test" :D

Have we even agreed on what AGI means? I see people throw it around, and it feels like AGI is "next level AI that isn't here yet" at this point, or just a buzzword Sam Altman loves to throw around.

I guess AGI is reached, then. The SOTA models make fun of the question.