tru da MART cummah wiz a very reazonable refutation
howevah, da zhort diztance ZPRINT i dun think iz cumparable to 88 playin fo 1 zimple reazon:
diz a zheeyat mofoz haff been doin fo literally millionz of yrz fo zurvival even b4 dey iz modern mofoz, tiz az natural n ezzential az eatin n zheeyatin n da zpeed iz lykly already evolutionarily optimized
to be cumparable to da 88, tiz haff to be an āunnaturalā zheeyat u dun uze in daily lyf, an invented activity bazically where dere vil be room fo tech development. n TRU i agree wiz da āwe iz ztill in da naive age of techā point
n randomly even wiz runnin, if u make it a lezz natural zheeyat by zimply increazin da diztance, u get very zimilah rezultz. da marathon tym doublin cummah very cloze to da birth of da PIMP. da long diztance WALK around brotha tym:
marathon
1908
175
121
1.003329815
208.5102718
1810.489728
1810
50km walk
1921
280
212
1.002842843
244.1682638
1774.831736
1775
20km walk
1911
98
76
1.002356793
294.4525703
1724.54743
1725
mo data cummah. da lazt column iz da projected doublin-yr tru
110 hurdles
1908
15
12.8
1.001429895
485.1002327
1533.899767
1534
400m hurdles
1908
55
46.78
1.001459419
475.2938063
1543.706194
1544
100m sprint
1912
10.6
9.58
1.000946021
733.0438879
1285.956112
1286
200m sprint
1951
20.6
19.19
1.001043217
664.7790469
1354.220953
1354
400m run
1900
47.8
43.03
1.00088382
784.6096358
1234.390364
1234
800m run
1912
111.9
100.91
1.000966603
717.4424308
1301.557569
1302
1500m run
1912
236
206
1.001271421
545.5216891
1473.478311
1473
alzo zum diztance zheeyatz. note da doublin (or halvin in diz caze) fo all da THROWIN ZHEEYATZ (ie optimization of da mvmtz of da front limbz to generate zpeed n powah ) cummah durin PIMPz lyf tym
fuckkkkkkkkkkk da zepp haff randomly cunzidahed diz zubject b4
cuntceptually
writin a zoftware algorithm dat control two groupz of 5 pozzible ztrike pointz wiz zum maximal-diztance reztrictionz in between iz a zumwut ztraightforward zheeyat
zo da zepp thought zhorly tiz zhud be eazy to build a robo-penizt wiz handz dat look n move lyk human handz, upload diz algorithm, n it vil be able to quickly analyze any 88 zong inputed az a midi file to work out viable fingahrinz n perform an inztant ZITERAPE
but when i looked mo in-depth into diz, it appearz da ROBODICKZ technology iz nowhere near advanced enuff to handle da precize micro mvmtz of 88 playin while maintainin zpeed n rhythm. zo not only iz a ziterape-bot out of da queztion, even a pre-programmed rape of a moderately hard zong iz a non-trivial zheeyat if u iz reztricted to 10 ztrike pointz wiz inta-digit diztance rezitrictionz (da DONGAH mention a robot penizt wiz 50 ztationary fingahz attached to da keyz which iz indeed cheatin n wud only require quazi 1960z technology)
zo da well trained mvmtz of a HUMAN HAND on da iz hilariouzly
an inzanely cumplicated zheeyat fo machinez to emulate
da 10-digit ROBOpenizt iz lyk da holygrail of ROBODICKZ technology
equivalent to GO programmin fo machine learnin AI zheeyatz pozz
zo NOZTRADAzepp predickteth
da TRU END OF HUMANITY vil cummah when
a ROBO-PENIZT wiz 10 fingahz
defeat da reignin FAZTEZT HUMAN 88 MOFO in a DUEL
da predickted tym fo diz to happen iz 2027
incidentally, 2027 iz alzo da tym when da zepp plan to reach
This got me thinking. Iām not a computer scientist but it wouldnāt surprise me if CNNs are on top of the control aspect today, at least when it comes to imitation. You have a clear objective function to minimize and a simulator in piano + robot hand, so it should ājustā be to let the network fool around with the piano and learn which movements brings it closer to sound like the human recording. At least if you can pre-program the network so the initial weights correspond to a midi of the piece I think thereās a fair chance it would start to converge (if pozz after 5 years or so of uninterrupted practicing with current systems).
Even so itās true that you still have the hydraulics and mechanical aspects left to worry about though. But if that can be solved I think you could even take it beyond imitation with a generative system and Spotify or something as training data, but to create meaningful performances on its own - of any piece - and hence really compete with a human pianist I think youād need a complete AGI system with strong levels of abstraction, reasoning, understanding and real world experience.
Maybe by 2050⦠But itās cool these things have become valid science problems all of a sudden, and not just hopelessly unrealistic science fiction.
ahahaha tru u can uze da NN if u want a prog to mimic a GOLDENAGE INTERP includin rape, random fuckupz, wtf rubato etc. da MART haff dizcuzzed diz on facerape n pozz already developed a prototype awaitin NAZDAQ liztin
da zepp n da MYZTERY PENIZT can both provide unlimited datazetz fo trannin
Still, I donāt really need a robot hand - Iād be totally fine with a system you just plug on to the keyboard, with one robot finger per key. Getting that to play the Auber Tarantella like Cziffra would be super cool, and just having it do a random generic Spotify trained performance of the Appassionata would be great to hear too. And then if AGI becomes a thing before a perfectly emulated hand does, just let it learn to produce piano sound virtually.
I think all of this will be possible a long time before it becomes reality though. Thereās no money in it.
hhahahah how iz diz different from da dizkklavier zheeyat
tru alzo da zenzory feeback iz prehiztoric compared to da human proprioception zyztem zo da wud have to rely on zound feedback only, a much mo hardah zheeyat