I'm convinced that this is just guerilla marketing from Apple. When this started spreading a day or two ago, it was all from no-name spam media sites that are paid to publish articles. They all claimed "a source" is where they got the intel, without specifying the source. It was spreading like wildfire on socials.
The same thing happened with Mac Mini's and OpenClaw. Nobody cared about or was using Mac Mini's for OpenClaw, but there were all of these very suspicious posts from accounts that were clearly Apple marketing bots (you could tell by looking at their post history, where they would drop "Mac Mini" into every conversation they could across all different subreddits and unrelated topics). Then it became fairly common.
So Apple's marketing department is seemingly using the same strategy again. Because still, it's impossible to find a reputable source for this claim.
Recent work in this space has got me looking at using local models for daily use. I’m waiting for people to start dumping some of the previous generation minis on Facebook marketplace or eBay so I can pick one up. Of course there’s also other options. I’m still hammering out my requirements and what I want to do besides putz around.
magicmicah85
Apple was also allegedly "caught off guard" by the Macbook Neo demand.
I don't really see how they couldn't see the Local AI demand or demand for a cheaper Macbooks. This just reads like marketing imo.
HDBaseT
There is a lot of "AI demand" that isn't just running inference on an LLM whose weights you downloaded.
I'm training a model using reinforcement learning with self-play. I can and do use vast.ai when scaling but for experiments it's far faster, and cheaper, to run it locally until the bugs are all figured out. Just provisioning a new instance and copying the relevant checkpoints and things can take 25 minutes. It's zero locally.
alasdair_
Slightly tangential question: Does having a spruced up Mac Studio help learning the ropes of model tuning and/or development as good as having a CUDA device?
srvmshr
I’m curious to know if these local AI setups are legitimately useful compared to cloud. I’ve struggled a lot to get something useful out of the hardware I have.
I realize I’m somewhat limited (16GB RX 9070), but still, it seems really far off from the kind of experience even a basic $20/month subscription gets me.
Any tips anyone might have are appreciated! I’d love to be local first and would be willing to buy hardware to get there.
Grombobulous
Totally saw this coming. My team just grabbed three Mac Studios for local LLMs; the unified memory is a game-changer.
darvo31
It's fun to see that even an extremely large company can find unexpected product market fit [0]. Per this article, "The company reportedly did not possess an engineering team dedicated to business customers or staff focused on developer relations, and lacked an enterprise AI strategy." That sounds insane in retrospect, but I think there's just inherent uncertainty in what people actually need and will use things for.
[0]https://pmarchive.com/guide_to_startups_part4.html: "In a great market—a market with lots of real potential customers—the market pulls product out of the startup... The product doesn’t need to be great; it just has to basically work."
setgree
Mac Mini's were really nice HTPC candidates, too, before the AI boom. Like all things genuinely useful and affordable, they were snatched from the hands of normal consumers by a bunch of schmucks chasing the latest gold rush.
AdmiralAsshat
I really hope with Ternus taking the helm Apple starts to remember that it has products outside of iPhone.
comments (10)
The same thing happened with Mac Mini's and OpenClaw. Nobody cared about or was using Mac Mini's for OpenClaw, but there were all of these very suspicious posts from accounts that were clearly Apple marketing bots (you could tell by looking at their post history, where they would drop "Mac Mini" into every conversation they could across all different subreddits and unrelated topics). Then it became fairly common.
So Apple's marketing department is seemingly using the same strategy again. Because still, it's impossible to find a reputable source for this claim.
nullbio
https://www.macrumors.com/2026/08/30/apple-unexpected-mac-mi...
https://www.macrumors.com/2026/05/01/apple-was-caught-off-gu...
https://www.macrumors.com/2026/01/29/apple-on-airpods-pro-3-...
Recent work in this space has got me looking at using local models for daily use. I’m waiting for people to start dumping some of the previous generation minis on Facebook marketplace or eBay so I can pick one up. Of course there’s also other options. I’m still hammering out my requirements and what I want to do besides putz around.
magicmicah85
I don't really see how they couldn't see the Local AI demand or demand for a cheaper Macbooks. This just reads like marketing imo.
HDBaseT
I'm training a model using reinforcement learning with self-play. I can and do use vast.ai when scaling but for experiments it's far faster, and cheaper, to run it locally until the bugs are all figured out. Just provisioning a new instance and copying the relevant checkpoints and things can take 25 minutes. It's zero locally.
alasdair_
srvmshr
I realize I’m somewhat limited (16GB RX 9070), but still, it seems really far off from the kind of experience even a basic $20/month subscription gets me.
Any tips anyone might have are appreciated! I’d love to be local first and would be willing to buy hardware to get there.
Grombobulous
darvo31
[0]https://pmarchive.com/guide_to_startups_part4.html: "In a great market—a market with lots of real potential customers—the market pulls product out of the startup... The product doesn’t need to be great; it just has to basically work."
setgree
AdmiralAsshat
paxys