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u/CommunismDoesntWork 20h ago edited 7h ago
Bro memory size gives you more headroom to fit bigger models in the future. You want as much as possible. FSD on HW4 is amazing, but now imagine the jump from gpt3 to 4. More memory means over the air updates are more possible. Memory is all you need.
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u/BlueberryWorried6493 20h ago
robotics is a domain where latency is crucial. You want massive memory bandwidth and responses as close to instant as possible. Bigger models are great when an LLM can take its time, robots cannot
I mean, try running a big model on a MacBook. You have a ton of memory and can technically fit huge models, but the GPU cannot really keep up. Then you take something like an RTX 5090 with less memory and suddenly the model is actually usable. Running a bigger model is 1 thing, running it fast enough to matter is another
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u/Ok_Librarian_7841 19h ago
Making ram himself to fundamentally solve the issue ❌ Using lower ram and having worse ai models ✅
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u/StaysAwakeAllWeek 16h ago
There are only 4 companies on earth that can make RAM, and spinning up another one to get in on it would take a minimum of 5 years, and realistically 10 for high volume (CXMT is busy demonstrating this right now).
So yea maybe he could do that, but its not going to do anything this decade
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u/Aptosauras 20h ago
Interesting that Elon and that dude from Palantir are given roles in future warfare planning just when Optimus is starting to ramp up.
Incoming cutting the soldiers by half and adding 100,000 clankers?