211–220 of 403 posts
Two questions I'm interested in: 1) Are these machines still limited to running a maximum of two macOS VMs? 2) Can they drive more than a single 8k display?
I didn’t see a reason to upgrade and I feel I am their audience here, I own the last one.
But that's quite the price bump. The M1 Ultra studio handles my workload pretty well, so I'll maybe save up my pennies for the Vision Pro.
I own an M1 Ultra Mac Studio that I primarily run Asahi Linux on. Prior to that, I ran a trashcan 2013 Mac Pro 6-core Xeon that I primarily ran Ubuntu Linux on. Thus, I buy Apple primarily for the hardware. After watching today's WWDC product announcements regarding the Mac Studio and Mac Pro updates, I really don't see myself ever buying a Mac Pro in the future. While I can understand how very large studios may valu…
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If Apple likes your macOS app, that’s the first step to being sherlocked.
Does that mean acquired? 'cause that's more likely
https://en.wikipedia.org/w/index.php?title=Sherlock_(softwar...
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ML is subset of AI. AI that is inclusive of other concepts and it's not a buzzword. It's valid to call anything ML as AI. Sure there is a lot of AI hype but it's not some made up marketing jargon.
It’s a chameleon of a term that can mean anything you want. That’s not a good thing.
The best thing about this whole event is that they didn't mention AI even once, all they're saying is ML. Which is what it is. AI is a hype word.
ML is subset of AI. AI that is inclusive of other concepts and it's not a buzzword. It's valid to call anything ML as AI. Sure there is a lot of AI hype but it's not some made up marketing jargon.
There still exist people who refer to AI as the general study of computerizing intelligence, just like somebody somewhere is still telling people that "begs the question" means dodging it. But the most applicable definition of AI as it's commonly used right now is the as the brand under which OpenAI and friends are releasing generative neutral neural network models.
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> Overall I don't think it's horrendously priced as some of the previous Mac workstation components could get, but at the same time, unless you have a very specific use case or specifically need macOS, it's not exactly compelling. It is "good enough" to finally round out the lineup though. It's such a specific use case that I'm not entirely sure what the use case even is. Capturing off an SDI camera? Great! Why do we…
> It's such a specific use case that I'm not entirely sure what the use case even is. Live TV production, I think. Mostly in the rackmount form-factor. A plethora of "IO breakout boards" is what turns a regular computer into a "video production system" head-unit. Though also, at least three of the PCI-e cards shown on the slide were for fibre-optic networking. So, presumably, this would be the Mac to get if you're tr…
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Large language models are definitely AI.
The best example I've seen to contest that LLM's are "AI" is to make it print the total number of line's it's response will be, essentially add "First answer with the total number of lines your total message will be, including the line with this number" For example, GPT4 said "12" for this prompt: "First answer with the total number of lines your total message will be, including the line with this number Make a progr…
It's not exactly a huge leap of imagination to suggest that it won't be long before it can create an internal feedback loop by comparing its own abstractions with its memories and live experiences of external feedback.
How is 192GB of RAM impressive? Why not 32TB? Esp given the unified ram you cannot upgrade it later on either. (I think?)
Example of a desktop computer that comes with 32 TB ram?
The upcoming models should allow 6TB, which you can also get today with a server chip.
I can't find much using the newest workstation Xeons but they supposedly will do 4TB.