I didn’t “know” the details of the reconstruction, but I suspected it was relatively simple, and you’ve confirmed that. Also, I agree denotationally with everything you said about inevitable bugs and a public that leaves something to be desired. Nonetheless it is neat anyway, because sturgeon’s law (90% of everything is crap) is roughly right, and this is non-crappy enough that it deserves some appreciation :-)
Also, if someone was going to use non-destructively collect data from various sources to attempt a side-load by constraining on observable frozen anatomy, recordable functional outcomes, etc, etc, then this general kind of raw data might help constrain the final model, or speed up the annealing, by completely ruling out certain sorts of overall neural facts, like what things will trigger vivid recognition or not (and with what sort of emotional resonances).
I didn’t “know” the details of the reconstruction, but I suspected it was relatively simple, and you’ve confirmed that. Also, I agree denotationally with everything you said about inevitable bugs and a public that leaves something to be desired. Nonetheless it is neat anyway, because sturgeon’s law (90% of everything is crap) is roughly right, and this is non-crappy enough that it deserves some appreciation :-)
Also, if someone was going to use non-destructively collect data from various sources to attempt a side-load by constraining on observable frozen anatomy, recordable functional outcomes, etc, etc, then this general kind of raw data might help constrain the final model, or speed up the annealing, by completely ruling out certain sorts of overall neural facts, like what things will trigger vivid recognition or not (and with what sort of emotional resonances).