No, local models will not win

Kim_Bruning

Is this the old mini vs micro argument again?

darepublic

What about that edge computing. Those cheap drones

cyanydeez

If they dont the gap between rich and poor will be unsustainable.

yunwal

I think local models will not be “niche” in the future in the same way personal computers are not “niche” just because most computing happens in the cloud. They have entirely different uses

qudat

> Or maybe models get so good that a 30B model is genuinely smart enough to do everything, so nobody really needs a model like Opus or Sol unless they’re trying to solve the Reimann Hypothesis. I don’t really buy this. Models can do frontier mathematical work today while still being not smart enough to refactor large codebases as well as me, so it’s hard to imagine a world where I don’t just want to use the smartest model available. Idk, I already don’t bother with Opus and stick with sonnet med. I really care more about speed. I use qwen3.6 27b for personal projects and I think it works pretty great. So like the article mentions, if scaling stalls and small models get better it’s not impossible to imagine a convergence and hardware costs drop. Having said that, self hosting will be a niche thing like it is today for other services.

bigbadfeline

> No, local models will not win Win what? Money, fame? That's not the point of small models, freedom is the point. What's this occultist obsession with "There shall be only one" monopolies? Why only one? That's so irrational and childish.

yellowapple

> For the setup price alone of a low-end home lab1, you could buy several years of a paid subscription to one of the AI providers. The power costs would come out to around $50-$300 per month, depending on how much inference you’re running: again, the price of a couple more paid subscriptions. Okay, but I already have multiple computers capable of running local models with acceptable performance, so for me the cost is $0. I suspect that's true for most people of sufficient technical inclination to be interested in and capable of running models on their local machines. Also, no, the monthly electricity price of even my power-hungriest machines ain't anywhere close to that figure. Hell, at the high end that's more than my power bill for my whole household.

spottedmarley

Most of my inference already happens locally, actually.

vivzkestrel

- not if apple m6 mac studio comes with 1TB of RAM and 144 core cpu / gpu

xeus2001

There is one more possibility. Mainboards all get shared memory and memory costs go down below $1/GiB. That makes GPUs cheap, as they do not come with memory. Then local models become the norm for many, because you can buy a 10 TiB machine for 10k, and upgrade the GPU when needed. I guess that models will not grow endlessly, ones the growth in size flattens, the demand for more and more memory flattens. So, IMHO, long term local models will win. However, short to medium term it may not be. My 2 cent.