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1. cesarb+Zl[view] [source] 2025-06-02 23:25:17
>>tablet+(OP)
This article does not touch on the thing which worries me the most with respect to LLMs: the dependence.

Unless you can run the LLM locally, on a computer you own, you are now completely dependent on a remote centralized system to do your work. Whoever controls that system can arbitrarily raise the prices, subtly manipulate the outputs, store and do anything they want with the inputs, or even suddenly cease to operate. And since, according to this article, only the latest and greatest LLM is acceptable (and I've seen that exact same argument six months ago), running locally is not viable (I've seen, in a recent discussion, someone mention a home server with something like 384G of RAM just to run one LLM locally).

To those of us who like Free Software because of the freedom it gives us, this is a severe regression.

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2. rvnx+Th1[view] [source] 2025-06-03 09:24:06
>>cesarb+Zl
With the Mac Studio you get 512 GB of unified memory (shared between CPU and GPU), this is enough to run some exciting models.

In 20 years, memory has doubled 32x

It means that we could have 16 TB memory computers in 2045.

It can unlock a lot of possibilities. If even 1 TB is not enough by then (better architecture, more compact representation of data, etc).

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3. hajile+tn3[view] [source] 2025-06-04 00:05:18
>>rvnx+Th1
Memory scaling has all but stopped. Current RAM cells are made up of just 40,000 or so electrons (that's when it's first stored. It degrades from there until refreshed). Going smaller is almost impossible due to physics, noise, and the problem of needing to amplify that tiny charge to something usable.

For the past few years, we've been "getting smaller" by getting deeper. The diameter of the cell shrinks, but the depth of the cell goes up. As you can imagine, that doesn't scale very well. Cutting the cylinder diameter in half doubles the depth of the cylinder for the same volume.

If you try to put the cells closer together, you start to get quantum tunneling where electrons would disappear from one cell and appear in another cell altering charges in unexpected ways.

The times of massive memory shrinks are over. That means we have to reduce production costs and have more chips per computer or find a new kind of memory that is mass producible.

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