If the architecture is the same, and the training scripts/data is the same, but the training yielded slightly different weights (but still same model architecture), is it a new model or just a iteration on the same model?
What if it isn't even a re-training from scratch but a fine-tune of an existing model/weights release, is it a new version then? Would be more like a iteration, or even a fork I suppose.
It would be huge to actually get a real no bullshit answer from people like him.
Either he got some strategy which is smart but he can't communicate, or he tries playing a very long game, or he actually doesn't understand it and is just a normal person and normal people need experts telling them why it sounds good but is stupid or he has some VC experts telling him how to communicate to get money without a real endgoal but pivoting to something else later.
Its cheap (its just silicium plates), we will have organic based systems in the future. You will be able to print it in the future.
Efficency is huge. We have so much unused roof space, its ridicoulous. parking spots, house roofs, commercial building roofs.
Why would you think its smart to send computers, which need cooling, up to use the energy over there? Do you know how hard it is to radiate heat away in space?
Its actually accurate and its not a 3.6.
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