For questions about the concept of randomness, or use of stochasticity in decision making algorithms.
Questions tagged [randomness]
18 questions
29
votes
4 answers
Can a neural network be used to predict the next pseudo random number?
Is it possible to feed a neural network the output from a random number generator and expect it learn the hashing (or generator) function, so that it can predict what will be the next generated pseudo-random number?
Does something like this already…

AshTyson
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7
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6 answers
Is randomness anti-logical?
I came across a comment recently "reads like sentences strung together with no logic." But is this even possible?
Sentences can be strung together randomly if the selection process is random. (Random sentences in a random sequence.) Stochasticity…

DukeZhou
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6
votes
3 answers
How is ChatGPT able to repeat random numbers?
From what I understand, ChatGPT is just a fancy neural network, operating like a sophisticated Markov Chain generator. As such, it should only be able to generate tokens that are in its training dataset. One thing it should not be able to generate…

yters
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5
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3 answers
Can you confirm that the transformer works strictly deterministically and there is no randomness inside or between the attention layers?
On a high-level temperature and randomness affect the output of a generative language model:
Lower temperature: Produces more focused, conservative, and consistent responses.
Moderate temperature: Strikes a balance between creativity and…

Hans-Peter Stricker
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4
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Can the quality of randomness in neural network initialization affect model fitting?
This is a topic I have been arguing about for some time now with my colleagues, maybe you could also voice your opinion about it.
Artificial neural networks use random weight initialization within a certain value range. These random parameters are…

Aki Koivu
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4
votes
3 answers
Is randomness necessary for AI?
Is randomness (either true randomness or simulated randomness) necessary for AI? If true, does it mean "intelligence comes from randomness"?
If not, can a robot lacking the ability to generate random numbers be called an artificial general…

lambda
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3
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Is true random number generation an AI concept?
As it can be easily pointed out that true random numbers cannot be generated fully by programming and some random seed is required.
On the other hand, humans can easily generate any random number independently of other factors.
Does this suggest…

Abhishek Choudhary
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3
votes
3 answers
Is the output of image generation models like Midjourney and Stable Diffusion deterministic?
Assuming the user can set all parameters, including but not limited to the seed.
Is the output deterministic? As in, the same set of inputs will create the same image?

Mindwin Remember Monica
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3
votes
2 answers
Can a neural network be used to predict a sequence of integers based on dataset of previously produced random numbers?
What i really want to do, is to predict an integer sequence of (5 numbers with values from 1 to 50) for example based on a big dataset of other 5 numbers sequences with same values range created by the same random number generator. I suppose there…

miltos.c
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3
votes
1 answer
Why AI is (or not) a good option for the generation of random numbers?
Why AI is (or not) a good option for the generation of random numbers? Would GANs be suited for this purpose?

Santos
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2
votes
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Is whisper.ai non-deterministic?
I am experimenting with Whisper AI sound-to-text (actually I am using the whisper.cpp clone right now) and am trying to optimize the performance but I have discovered something odd - although I use exactly the same setting every time except for the…

d-b
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Can AlphaZero develop significantly different playing styles (depending on the random games from which it learrns)?
There is a quite popular video analysing a chess game AlphaZero vs. AlphaZero, called "the perfect game". It leaves some questions open and I'd like to ask them here:
Did the two copies of AlphaZero use the same random seeds in the learning phase,…

Hans-Peter Stricker
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2
votes
3 answers
How to deal with random weights initialization in hyperparameters tuning?
In the step of tuning my neural networks I often encounter a problem that every time I train the exact same network, it gives me different final error due to random initialization of the weights. Sometimes the differences are small and negligible,…

GKozinski
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How does randomization avoid entering infinite loops in the vacuum cleaner problem?
Suppose we have a vacuum cleaner operating in a $1 \times 2$ rectangle consisting of locations $A$ and $B$. The cleaner's actions are Suck, Left, and Right and it can't go out of the rectangle and the squares are either empty or dirty. I know this…

Emad
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Random value generator using a single neuron or DNN
AI is supposed to do anything human or traditional computer can do, that is what we expect AI to be.
So 'generating random value' is also a task included in the scope that AI should be able to do
I'm trying to generate random value using a single…

Dee
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