Funny thing there is actually attempts at modeling uncertainty in Deep Learning. But they are rarely used because they are either super inaccurate or have super slow convergence. (MCMC, Bayesian neural networks) The problem is essentially that learning algorithms cannot properly integrate over certainty distributions, so only an approximation can be trained, which is often pretty slow.
Men you know hard it is to get therapy?
This can also be used a great example of proof by contradiction: There is no correct answer in the options. Proof: Assume there was a correct answer in the options. Then it must be either 25%, 50% or 60%. Now we make a case distinction.
(A) Assume it was 25. Then there would be two of four correct options yielding in a probability of 50%. Therefore 50 must be the correct answer. -> contradiction.
(B) Assume it was 50. Then there would be one of four correct options yielding in a probability of 25%. Therefore the answer is 25. -> contradiction.
(C) Assume it was 60%. Since only 0,1,2,3 or 4 of the answers can be correct the probability of choosing the right answer must be one of 0% 25% 50% 75% or 100%. -> contradiction.
Because of (A), (B) and (C), it cannot be 25, 50% or 60%. -> contradiction.
Like I always think that people don’t get one thing about trees in a city. There purpose is is not about co2. The co2 reduction of city trees is neglectable. The reason you need them in a city is temperature regulation, shade, air quality, mood, the local eco system and maybe solidifying unsealed ground. Putting these tanks in a city is laughably inefficient w.r.t. co2 conversion if you compare this to any effort to do this in instustrial capacity ( which is is also still laughably inefficient)
man hes gone have to do a lot of walking again... Offtopic: The funny thing is TREE(3) is an absurdly long distance, independent of the physical unit. Even TREE(3) times the planck length is unimaginable long, as the ratio between a meter and the planck length is absolutely neglectable against such super large numbers.
Im gone print this and hang it into office
And so the image AI warfare begins
In the shimmering depths of the Atlantic, the crab Svetlana clicked her claws nervously as she approached Atlantis, a city of brass and steam. Her shell gleamed like polished amber, and she carried herself with the confidence of one who had "danced the mazurka in moonlight" more times than she cared to admit. Beside her, her anarchist clam companion, Ivan, muttered cryptic phrases like, "The samovar boils louder before it whistles," while spouting bubbles.
The city was in chaos. Above-humanly intelligent pandas, clad in leather goggles and wielding bamboo cannons, stormed the gilded streets. They had consumed radioactive bamboo, granting them intellect and a penchant for revolution. Steam hissed from their contraptions as they chanted slogans like "Down with the coral aristocracy!"
Svetlana was overwhelmed but determined. Ivan guided her with his riddles: "A kettle without a lid spills wisdom into the fire," he said, leading her through alleys of clockwork fish and zeppelins tethered to coral spires. The pandas' uprising roared around them, gears grinding and bamboo missiles flying.
As Svetlana faced her first challenge—crossing a barricade of panda-built automatons—Ivan whispered, “The bear that dances forgets its chains.” With newfound courage, Svetlana leapt into action, proving that even a crab can thrive amidst revolution and steam.
It’s funny cause it’s true.
I didnt knew that car Windows would also turn blue when broken.
Day 492 of predicting edge cases…
Man there really should be a better money transaction solution then PayPal…