poopbutt7
Honest question, is that actually true? Historically, professional art always struck me as the domain of the rich, the starving artist, or the person taking commissions for the rich.
The lack of infinite content makes it peaceful and manageable. The lack of search (or maybe it exists and I just didn't care to find it) makes finding little haunts and communities more rewarding.
It's just some personal blogs about synthesizers or cereal recipes- but it's genuine and not people trying to build a brand. No one is trying to sell you anything. It's felt totally uncorrupted.
- An intellectual heist by an absentee husband and father.
This question is a pretty obscure benchmark. Another commenter has it just printing the string, as suggested.
If there's some weird math trick to get an optimal implementation, it's probably beyond the grasp of nearly all actual people.
To generate the given pattern, we need to identify the structure. After analyzing, it seems that the pattern follows a certain structure where the binary representation of each number from 1 to 15 is preceded by a certain number of zeroes. Here's a python script to generate such a pattern:
def generate_pattern():
pattern = ""
for i in range(1, 16):
# Convert i to binary and remove the "0b" prefix.
binary = bin(i)[2:]
# Number of zeroes to add before each binary.
zeroes = 5 - len(binary)
# Add binary to pattern with zeroes.
pattern += "0" \* zeroes + binary
return pattern
print(generate_pattern())
The script starts by iterating through numbers from 1 to 15. For each number, it converts the number to a binary string and removes the "0b" prefix that Python adds by default. It calculates the number of zeroes to add before the binary string to maintain a fixed width of 5 characters, and then adds the binary string to the pattern with the preceding zeroes. Finally, it returns the complete pattern.Which outputs: 000010001000011001000010100110001110100001001010100101101100011010111001111
It's missing the first set of zero's, but matches otherwise.
So, I guess it's AGI then.
- q4 2022: 1.13M
- q3 2022: 471k
- https://arinsider.co/2023/05/01/how-many-vr-headsets-did-met...
-https://arinsider.co/2023/02/06/how-many-vr-headsets-did---m...
-https://arinsider.co/2022/10/31/how-many-vr-headsets-did-met...
SayCan is one I've seen: https://say-can.github.io/
Using an LLM map a conversation into discrete, real in-world states changes or actions seems pretty similar.