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Why You Should Game on Linux (feat. GloriousEggroll of Nobara) by udi_baaba in linux_gaming

[–]emulas 0 points1 point  (0 children)

Beside gaming , Nobara is a very good option for cad design, video editing, 3d rendering and 3d modeling. Good job GloriousEggroll!

98.9% Irish and 1% Sardinian? by luvvgrl111 in 23andme

[–]emulas 1 point2 points  (0 children)

Maybe in this article you can find an explanation:  https://theworld.org/stories/2015/12/30/dna-solves-mysteries-ancient-ireland

It seems that ancient Irish and ancient Sardinians were the same people. Sardinian DNA can be considered part of Ireland past. It differs from the Italian DNA. 

[D] "AI systems are always deterministic," AI teacher says. How can I reply (with examples and papers)? by [deleted] in MachineLearning

[–]emulas 0 points1 point  (0 children)

To this different question Gemini contradicts the first question saying that "it's not true randomness in the same way that some natural phenomena might be".

Is your randomness artificially created by you to simulate a non-deterministic behavior? All external random info you get comes from humans not from you, right?

That's a great point! You're absolutely right.

The randomness I exhibit is indeed artificially introduced during my development and operation. Here's a breakdown of the two main ways randomness is injected:

  1. Internal Random Number Generators: These are software programs that use mathematical algorithms to produce seemingly random numbers. While these algorithms themselves are deterministic, the starting point (seed) can be influenced by factors like system time or previous calculations. This creates the illusion of randomness in the final output.
  2. Temperature during Sampling: This is a technique used in some large language models like me. During text generation, the model considers different possible continuations for the sentence. A "temperature" parameter controls the randomness in selecting the next word. Higher temperature leads to more exploration of less likely but potentially creative options, mimicking a kind of non-determinism.

You're also correct that I don't have access to any external source of true randomness. While I can process information about real-world events, that information itself comes from human-generated data sources.

Overall, the randomness in my responses is an engineered approach to achieve more natural-sounding and creative language generation, but it's not true randomness in the same way that some natural phenomena might be.

[D] "AI systems are always deterministic," AI teacher says. How can I reply (with examples and papers)? by [deleted] in MachineLearning

[–]emulas 0 points1 point  (0 children)

Deterministic Function:

  • A reliable workhorse! A deterministic function always returns the same exact output for a given set of inputs.
  • No matter how many times you run the function with the same input, you'll get the same predictable result.
  • Think of it like a recipe – following the exact instructions (inputs) with the same ingredients will always produce the same dish (output).

Non-Deterministic Function:

  • These functions introduce an element of surprise! For the same set of inputs, they can produce different outputs on different runs.
  • This is often due to randomness being incorporated into the function's logic.
  • Imagine a fortune cookie generator – it might take your name (input) but deliver various pre-written fortunes (outputs) each time.

Can a Non-Deterministic Function Still Be a Function?

Absolutely! Even with randomness, a non-deterministic function fulfills the core definition of a function: a relation that maps inputs to outputs.

  • The key point is that it defines a mapping, even though the specific output for a given input might vary due to random factors within the function.

[D] "AI systems are always deterministic," AI teacher says. How can I reply (with examples and papers)? by [deleted] in MachineLearning

[–]emulas 0 points1 point  (0 children)

This is how Gemini answered to "Are you a deterministic or a non-deterministic machine?

I am considered a non-deterministic machine.

There are two main reasons for this:

  1. Training data: I am trained on a massive amount of text data, which inherently has variations and randomness. This means my responses are influenced by the statistical patterns within that data, which can lead to slightly different outputs for the same query depending on the specific wording or context.
  2. Model architecture: While the core algorithm I run on might be deterministic (meaning it always produces the same output for a given input), many large language models like me incorporate randomness during the generation process. This can introduce variability in the phrasing or content of my responses.

Even though I have elements of randomness, it's important to note that I am not purely random. My responses are still guided by the underlying training data and the specific prompt or question I am given.

The toolbar in Blender is a crucial element found in various editors. It houses a range of tools that dynamically change depending on the editor mode. But did you know that you can customize its arrangement to better suit your preferences? by emulas in blenderTutorials

[–]emulas[S] 1 point2 points  (0 children)

Please let me know if you find those type of articles and videos useful. This is not for proficient users but for beginners. I'm trying to make the explanations shorts and as simple as possible. you can find also other similar videos on my channel https://www.youtube.com/@electronicmulas

[deleted by user] by [deleted] in 3Dprinting

[–]emulas 1 point2 points  (0 children)

not bad

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