Not one month ago, as an admission of my own clumsy slight, I had remarked to a senior of higher status, that Chatgpt could just grasp Taarof.
96 karma · joined August 9, 2017
Not one month ago, as an admission of my own clumsy slight, I had remarked to a senior of higher status, that Chatgpt could just grasp Taarof.
but if it is not that would be extremely impressive! determinism/freewill reduces to shazam!?
whats the training data to predict new song titles? heh
check out this reply from claude2:
>predict the next 3 new song titles from artist Taylor Swift
1. Last Dance with You - A reflective ballad about finding closure after a breakup. 2. Never Getting Back Together - A pop tune emphasizing that the same mistakes won't be made twice in a relationship. 3. 22 Was My Prime - A lighthearted look back on her early 20s as carefree years that can't be replicated.
...
Consider again the glider translated across space time. Is it the same glider after 1,2,10 generations in time?
I always found it curious the ancient archons had rulerships which kept continuity in nominative identity across individuals for several generations. The social practice continues with the first, the second, III, IV etc.
The epigenetic view supports it.
it could not be otherwise else the agenda would alter the prediction until the new prediction and the new agenda match
interestingly this operation is the same as an agentic ai
Unfortunately pre-1950 demographic prediction is a little harder to find. I wonder why*
Anyway a reliable source is found here: https://ourworldindata.org/population-projections
In summary historical population projections have been pretty accurate but not in the way you expect.
*One thought is that because current date may become a historical inflection point similar to the first half of the 20th century, current date demographic statistics may be too important to put much stock in. Sobering.
I don't think this is a fair take for a couple of reasons.
Mandarin is unlike other languages in that it's written form is famously ideographic. Phonetic translation is all that is done in any pair {L, M}. I assure you there is no such thing as a literal translation in any language.
Secondly, english as a global lingua franca is not a given and we in the anglosphere ought to be gracious in it's modern historical role, lest it decline (this is an exact mirror of dollar reserve privilege). Your statement reads as "be more accommodating for me". But through the prism of good manners it smacks of liberal entitlement.
>There is 0 reason to learn
hoo boy, i don't get paid enough for this... carry on
whats the practical influence of the libertarian in such environment? rules-for-thee; and looting
https://books.google.com/ngrams/graph?content=first+world&ye...
The mean and median living some places might surprise you. For example visit HongKong, Singapore, Taipei, Tokyo, or a mainland city this millenium. Or dont'!
First world, it mostly conjures automobile culture and car infrastructure which is nothing special these days but check the world's largest car makers... you would guess Germany Japan or even the USA recently no?
There are two other areas you would seem to point at. Firstly other technological innovation will have momentous effects, I will not name the buzzwords but you easily know from what by excluding AI/LLM. The second and far more interesting is what I will call political innovation which is orthogonal to technological development, which is totally driven by changes in consciousness. I think that often looks like a stepfunction, because I hardly see the needle moving there outside the generation-to-generation cultural noise.
Most of the underwater property developers are wealthy patrons of the ruling red party in China and will ultimately receive similar government bailouts. Privatized gains and socialized losses it's the same movie everywhere.
But this is just theatre, on the order of 1 trillion disappearing in smoke is not going to sink the ship of any nation with 100 trillion in wealth assets.
edit: I should say this money doesn't really disappear in smoke, it's bourne on the backs of mostly middle classes amortization over the period of decades in hidden inflation taxes and marginal lower living standards.
The paper is just a guide. Who would replicate likely needs to contact the authors to understand the implicit details of the recipe. That is process knowledge. There's a good reason world-leading lithography happens in that region. With luck, researchers and engineers will be able to refine and industrialize the process these coming years.
If this trend continues over the centuries it is conceivable that >=50% of all human beings to ever exist could be extantly alive. Either growth rate exploded or death rate arrested.
It recalls to mind Fyodor the one-time teacher of Tsiolkovsky of the rocket equation, who conceived a kind of akashic immortality project he called the Common Task. So like maybe this Kaneda-Haub statistic asymptotically approaches 100%.
Supposing a starting population of 2 we can call Adam and Eve divided by 0 dead ancestors do note it started at infinity before dropping precipitously near 0 for a 202k year exponential climb to today's ~7%. Fwiw I consider such plot affirmative evidence assuming the demographic inputs are not wildly inaccurate.
That LLMs learn a world model is very convincing now, but as LeCun has said it's just one piece of the intelligence puzzle, incl. perceiving, actuating shenmede
Eurasia based cartel had cornered the market on lithium vital for new energy. US based interests bent the ear of the Chilean government to break this monopoly by nationalizing these privately owned mines and rediverting the supply. Speculators got wrecked. Does anyone know if a Credit Suisse customer had dealings in Chile?
what possible priorities... sounds like the humanity extincting AGI has already gotten free /s
If civilization needs to adopt such measures it must be in deep crisis.
But I would disagree with the idea that the whole reason of AI tech is to essentially have uncomplaining servants. The IP use is a whole 'other issue.
[1] https://en.wikipedia.org/wiki/List_of_United_States_extradit...
[2] https://en.wikipedia.org/wiki/Extradition_law_in_China#/medi...
Interestingly if you are keen to slip the grasp of law enforcement (note: this is no sanction of illegal activity of any sort), and you reside in, for example, Australia Turkiye or Mexico, you are within the extradition jurisdiction to either China or USA, a kind of extremal legal coverage/exposure. The caveat being, there is a concept called dual criminality which is essentially the intersection of crimes from the one country and the extraditing country.
Extra credit: 1997 congressional report on the unprecendented (at the time) US-Hong Kong extradition treaty. [3] https://www.congress.gov/congressional-report/105th-congress...
First we observe x is between 20^3=8e3 and 30^3=27e3.
Then note that the least significant (singles) digit of x^3 is solely determined by the singles digit of x [only holds in the integers].
Luckily we had cached that the pattern for cubes is 123456789 -> 187456329
Finally x^3 = 19,683 ends in 3 therefore x = 27 we are done.
------ It turns out there is a unique mapping for the first digit of x^n, following one of four patterns:
n mod 4 = 1 123456789 -> 123456789
n mod 4 = 2 -> 149656941
n mod 4 = 3 -> 187456329
n mod 4 = 0 -> 161656161
So this trick would not always be as useful, where the mapping is not surjective for squares, fourth powers -- all the even powers. I imagine there is a nice visual geometric explanation why those mappings take their symmetric pattern.You may ask yourself, is there also a rule for the larger place digits of x^3, x^n? Yes, we naturally observe that the 10s digit of x^n is similarly wholly determined by the 10s and 1s digits of x. So now we want n maps on [0,9]x[0,9] to [0,9].
The python snippet may help to explore this: where the row 3, 25th digit shows that when x ends in 25, x cubed has 10s digit 2
>>> print(*zip(range(50), [''.join([str(x**i).zfill(2)[-2:-1] for x in range(100)]) for i in range(50)]), sep='\n')
(0, '0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000')
(1, '0000000000111111111122222222223333333333444444444455555555556666666666777777777788888888889999999999')
(2, '0000123468024692582604827272840628529642086432100000001234680246925826048272728406285296420864321000')
(3, '0002621412032947913506462278580963075571028082329405076719170824429630014127735304680250760785873799')
(4, '0018529096043612327208547274580272321634069092581000185290960436123272085472745802723216340690925810')
(5, '0034227064053927756900342270640539277569003422706405392775690034227064053927756900342270640539277569')
(6, '0062925444068032162802087278020826123086044452926000629254440680321628020872780208261230860444529260')
(7, '0028823456070107573304842270100167479397084062167405238739510206025238098927751506624298920345671179')
...
(19, '0086429478094787353708082276960769671755062002581405814799730442823032030327719102646212500125075319')
(20, '0070727070007072707000707270700070727070007072707000707270700070727070007072707000707270700070727070')
(21, '0050025000011167116102722272220333873383049442944405550755050616621666077727772708388238880999479949')
(22, '0000123468024692582604827272840628529642086432100000001234680246925826048272728406285296420864321000')
(23, '0002621412032947913506462278580963075571028082329405076719170824429630014127735304680250760785873799')
(24, '0018529096043612327208547274580272321634069092581000185290960436123272085472745802723216340690925810')
...
(35, '0060227434056527793900602274340565277939006022743405652779390060227434056527793900602274340565277939')
(36, '0032925054061432187802967276920878123416045052923000329250540614321878029672769208781234160450529230')
(37, '0076823046079307576304102274800137479107085462182405718735410298025268091527798506324296020359671329')
(38, '0048321482080252902406667276660420925208028412384000483214820802529024066672766604209252080284123840')
(39, '0086429478094787353708082276960769671755062002581405814799730442823032030327719102646212500125075319')
(40, '0070727070007072707000707270700070727070007072707000707270700070727070007072707000707270700070727070')
(41, '0050025000011167116102722272220333873383049442944405550755050616621666077727772708388238880999479949')
(42, '0000123468024692582604827272840628529642086432100000001234680246925826048272728406285296420864321000')
(43, '0002621412032947913506462278580963075571028082329405076719170824429630014127735304680250760785873799')
...
-----Apologies for the wall of text but the output is included here to show the periodicity is 20 in the 10s digit for powers of n.
What do you think the periodicity in the 100s digit is?
Okay let's use our cache to just lookup the least two digits of say, 41679296 ^ 35 (without doing any real compute):
1s digit
35 mod 4 = 3
187456329 index 6 -> 6
10s digit
(35, '0060227434056527793900602274340565277939006022743405652779390060227434056527793900602274340565277939')
index ------96 -> 7
The last two digits of 41679296 ^ 35 = 497981393104388234083687472206165994017494365065741791800324926291638211001469403054062791593737655590988883756006534609416313532750908441977019034732014717649617778735038244085515193249673259731575280032440237649262981884959117005449913087392615145373869733708824576 are indeed 76, cool