I like the idea to use super additivity, but in a proof you cannot creatively extend T to the reals, this should be fixed.
Here is the slightly mopped up proof i had in mind, when i posted my hints below:
Let be r>=1 and 0<a(i) for all 1<=i<=r and 1/a(1) + ... + 1/a(n) =: s < 1.
Then a(i) > 1 for all 1 <= i <= r.
Let be c > 0 and
T(0) := 0
T(n) := c \* n + T(floor(n/a(1))) + ... + T(floor(n/a(r)))
Then T(n) <= b * n for all n with b := c/(1-s) > 0 !
Proof by induction:
"n=0" :
The statement holds trivially.
"k->n":
Let n>=1 and assume the statement holds for all 0<=k<n.
Now since a(i)>1 we have floor(n/a(i)) <= n/a(i) < n. By the induction hypothesis therefore
T(floor(n/a(i))) <= b * floor(n/a(i)) <= b * n/a(i).
Apply this to get:
T(n) = c * n + T(floor(n/a(1))) + ... + T(floor(n/a(r)))
<= c * n + b * n/a(1) + ... + b * n/a(r)
= (c + b*s) * n
= b * n.
Hence T(n) <= b * n.
It scrolls past all the repos movie-credits-style. Doing it that way takes several days! It shows how abstract and absurd giving contribution to such a large body of works is.
Who should we thank for the code written by Copilot? In a way, we should thank everyone in the training data. That includes: everyone with a public Github repository.
Another funemployed xoogler here! I've been making games for the last year, and one thing I would definitely love to explore is designing a deep but easy to learn game using learning techniques. We should talk!
I'd guess transportation plays a bigger role, but not sure.
US emissions are ~29% transportation and ~27% electricty generation [1]. The US uses ~13x as much oil [2].
Natural Gas isn't particularly dirty. Coal and petroleum only make up 24% of power generation in the US [3]. Fossil fuels make up ~9% of electricity production in France [4].
Just a small nit but the OP was referencing CO2. Natural gas is cleaner than other fossil fuels. “Clean” != low carbon (although it’s lower than other fossil fuels)
I would expect our spread out nature to contribute to that a lot. We drive a lot (and often environmentally unfriendly vehicles). Our food chain also involves shipping food substantial distances (not sure how true that is of Europe).
I wonder how much efficiency and resiliency are competing interests in the supply chain. From one perspective, consolidation creates a more efficient system due to economies of scale. On the other hand, distributed systems tend to be more reliable, but less efficient
One QOL consideration: consider allowing the last placed piece to be moved in one click. That is, if you click while "at capacity" the last placed piece gets removed and placed where you click.