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Apple introduces M6 and M5 Ultra

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Re: Apple introduces M6 and M5 Ultra

#101

Post by brianwawok »

lenerdenator wrote: post #63
SilverSlash wrote: post #25

The 512GB Ultra is amazing, sure. But who is it for exactly? VC funded big spender founders? In that case why would they need local AI? The ultra rich enthusiast? But there can't be too many of those. So who actually buys these?

Local AI is the future, and a lot of people want the first mover advantage or to toy around with it. I know a guy with a small rack of Nvidia Spark machines that he uses for that purpose; it's as much as a decent used car.

But is it? If it’s cheap enough latency doesn’t matter. Unlike say cloud gaming, where latency does matter. I’ll take my games local and my text bots cloud

Re: Apple introduces M6 and M5 Ultra

#102

Post by jjice »

chasd00 wrote: post #43
jjice wrote: post #22

Earlier quoted context omitted.

I was so blown away at all the discourse surrounding "Apple fumbling on models". They should never have been in the model game to begin with. Apple crushes hardware over the last decade and that's a huge advantage today. In the end, massive models have proven to be very strong, but small models have proven to be good enough (especially with the recent Qwen 2.8 27B drop) and that's where I imagine the future will lie…

I suspected Apple would let everyone else blow all their money then, when the dust settles, deliver a better experience to end users and clean up.

Agreed. Apple doesn't innovate anymore, but they're generally pretty good at adapting once other people have.

Re: Apple introduces M6 and M5 Ultra

#103

Post by [deleted] »

Roark66 wrote: post #83

The page says 170G/s memory bandwidth for the NPU and 1.2T/s for the GPU. Why the discrepancy if it's all "unified memory"? The former is nothing to write home about as far as AI compute is. The latter is really nice. Which one is it you can run local models on? I suppose the NPU only.

[deleted]

Re: Apple introduces M6 and M5 Ultra

#105

Post by d_runs_far »

intrasight wrote: post #56
mrtksn wrote: post #16

Apple Studio with maxed out M5 Ultra, 256GB RAM and 16TB storage is 18,299$. The 512GB RAM version apparently is coming in October, considering that the difference between 96GB and 256GB is priced at 4000$, the 512GB upgrade must be eye watering. So, on the mini the RAM upgrade runs at 25$ per GB on all tiers, the same as the Studio therefore the upgrade to 512 will probably cost 6400$. The fully maxed out Apple Stud…

So is downpayment on a house. I would buy the house and just pay for tokens as needed. The house will get more valuable and that wealth would buy a lot of tokens in the future - which will probably get cheaper. EDIT: or buy AAPL. If I had bought Apple stock instead of buying a Mac LC II in 1992, then I would have about $2 million in Apple stock.

Had I done that as well, then maybe I wouldn't have gotten intrigued by HyperCard, then Director/Authorware, then Flash, then HTML, then...

Re: Apple introduces M6 and M5 Ultra

#106

Post by simonh »

jgalt212 wrote: post #73
recursivedoubts wrote: post #34

Even w/the pricing spike, inflation adjusted we are back to roughly the prices of a new Mac SE/30 for something that can beat a turing test w/o sweating. I yield the floor to no one when it comes to pessimism, but that's incredible.

when was the turing test beaten?

1966

https://en.wikipedia.org/wiki/ELIZA_effect

It turns out the limiting factor isn't how sophisticated algorithms are, it's how gullible humans are.

Re: Apple introduces M6 and M5 Ultra

#109

Post by shric »

jgalt212 wrote: post #73
recursivedoubts wrote: post #34

Even w/the pricing spike, inflation adjusted we are back to roughly the prices of a new Mac SE/30 for something that can beat a turing test w/o sweating. I yield the floor to no one when it comes to pessimism, but that's incredible.

when was the turing test beaten?

It depends who takes the test. I am not yet, to my knowledge, fooled by AI.

I've tried [1] and I almost 100% detect which is the AI. I really want to convince myself I have failed, does anyone know of a better site/resource for this?

I know it might be moving goalposts but I would consider AI to have passed in a well and truly undisputed manner when [2] is resolved.

But in a more practical sense, if AI can impersonate humans so well today then why are state of the art frontier models so obviously AI when they create PRs, commit messages, documentation, etc. Are the companies deliberately making them unnatural?

[1] https://turingtest.live/

[2] https://www.metaculus.com/questions/11861/date-when-ai-passe...

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