#markov-chains — Public Fediverse posts

I agree with you that #LLMs are astoundingly good at what they do.

I just so disagree with you *thinking* you know what they do.

#AI #artificialIntelligence #noAI #MarkovChains #patternMatching

I agree with you that #LLMs are astoundingly good at what they do.

I just so disagree with you *thinking* you know what they do.

#AI #artificialIntelligence #noAI #MarkovChains #patternMatching

How many times do you need to shuffle a card deck to make it truly random?

How much uranium does one need for a nuclear bomb?

How does autocomplete work?

The answer are #MarkovChains

How a feud in Russia led to modern prediction algorithms.

https://www.youtube.com/watch?v=KZeIEiBrT_w

https://piped.video/watch?v=KZeIEiBrT_w

https://inv.nadeko.net/watch?v=KZeIEiBrT_w

#Mathematics #science #computerScience #LLMs #AI #artificialIntelligence #vectorDatabase #RAG #WordEmbeddings #MachineLearning #DeepLearning #ManhattanProject #Veritasium #Yahoo

How many times do you need to shuffle a card deck to make it truly random?

How much uranium does one need for a nuclear bomb?

How does autocomplete work?

The answer are #MarkovChains

How a feud in Russia led to modern prediction algorithms.

https://www.youtube.com/watch?v=KZeIEiBrT_w

https://piped.video/watch?v=KZeIEiBrT_w

https://inv.nadeko.net/watch?v=KZeIEiBrT_w

#Mathematics #science #computerScience #LLMs #AI #artificialIntelligence #vectorDatabase #RAG #WordEmbeddings #MachineLearning #DeepLearning #ManhattanProject #Veritasium #Yahoo

Beginner #MarkovChains question:
I'm working on a small analysis program for a friend. It's already existing code where you select a number of labels from a labelled sequence of interactions and then supposedly get a transition matrix from them.

BUT - the code ignores intermediate labels when counting transitions.
e.g. if a sequence has three labelled members w,x,y, and you only want to analyse w, and y, the current code would count that as a transition from w to y, ignoring the intervening x.

This does not seem appropriate for calculating transition probabilities. If I understand correctly, this should not be counted at all, since the transition was w -x, then x-y.

Does that sound like I have understood correctly?

Beginner #MarkovChains question:
I'm working on a small analysis program for a friend. It's already existing code where you select a number of labels from a labelled sequence of interactions and then supposedly get a transition matrix from them.

BUT - the code ignores intermediate labels when counting transitions.
e.g. if a sequence has three labelled members w,x,y, and you only want to analyse w, and y, the current code would count that as a transition from w to y, ignoring the intervening x.

This does not seem appropriate for calculating transition probabilities. If I understand correctly, this should not be counted at all, since the transition was w -x, then x-y.

Does that sound like I have understood correctly?

🚨 BREAKING: High school essay from 2012 declares *Markov Chains* as the OG language models! 🙄 Apparently, *Linear Algebra 101* had all the answers before #AI got cool. Who knew teenage musings could redefine the hype cycle? 😂
https://elijahpotter.dev/articles/markov_chains_are_the_original_language_models #MarkovChains #LinearAlgebra #HypeCycle #TeenageMusings #HackerNews #ngated

🚨 BREAKING: High school essay from 2012 declares *Markov Chains* as the OG language models! 🙄 Apparently, *Linear Algebra 101* had all the answers before #AI got cool. Who knew teenage musings could redefine the hype cycle? 😂
https://elijahpotter.dev/articles/markov_chains_are_the_original_language_models #MarkovChains #LinearAlgebra #HypeCycle #TeenageMusings #HackerNews #ngated

Markov Chains Are the Original Language Models

https://elijahpotter.dev/articles/markov_chains_are_the_original_language_models

#HackerNews #MarkovChains #LanguageModels #AIResearch #NaturalLanguageProcessing #MachineLearning

Markov Chains Are the Original Language Models

https://elijahpotter.dev/articles/markov_chains_are_the_original_language_models

#HackerNews #MarkovChains #LanguageModels #AIResearch #NaturalLanguageProcessing #MachineLearning

What I’ve been reading (and watching) this week ending 24 August 2025 https://jchyip.medium.com/what-ive-been-reading-and-watching-this-week-ending-24-august-2025-8681649d3972 #leadership #SystemsThinking #MarkovChains #innovation

What I’ve been reading (and watching) this week ending 24 August 2025 https://jchyip.medium.com/what-ive-been-reading-and-watching-this-week-ending-24-august-2025-8681649d3972 #leadership #SystemsThinking #MarkovChains #innovation

The Strange #Math That Predicts (Almost) Anything https://youtube.com/watch?v=KZeIEiBrT_w&si=Jn6_OtAzfB4zTE0i #MarkovChains

The Strange #Math That Predicts (Almost) Anything https://youtube.com/watch?v=KZeIEiBrT_w&si=Jn6_OtAzfB4zTE0i #MarkovChains

🎉 Mégra 0.0.16 is out! Just some small improvements I found while preparing for a workshop.

Thanks @alice_ahora for improving the tutorial with me!

https://github.com/the-drunk-coder/megra.rs/releases/tag/v0.0.16

https://megra-doc.readthedocs.io/en/latest/

:megra_wavetable:

#livecoding #markovchains #rust

Rock, Paper, Scissors that learns how you play using markov chains

https://luduxia.com/showdown/

#HackerNews #RockPaperScissors #MarkovChains #MachineLearning #GameDevelopment #AI

Rock, Paper, Scissors that learns how you play using markov chains

https://luduxia.com/showdown/

#HackerNews #RockPaperScissors #MarkovChains #MachineLearning #GameDevelopment #AI

Markov Chains Explained Visually (2014) — https://setosa.io/ev/markov-chains/
#HackerNews #MarkovChains #VisualLearning #DataScience #Educational #Content

Markov Chains Explained Visually (2014) — https://setosa.io/ev/markov-chains/
#HackerNews #MarkovChains #VisualLearning #DataScience #Educational #Content

Teaching ChatGPT-4o is a great way to learn.

It's always nice to notice you know something ChatGPT doesn't know, as it typically means you know something most specialists in the field don't know:
https://chatgpt.com/share/67ac8053-bcf8-8002-951a-89bda381d3ff

#LLM #mathematics #MarkovChains #MDPs

Teaching ChatGPT-4o is a great way to learn.

It's always nice to notice you know something ChatGPT doesn't know, as it typically means you know something most specialists in the field don't know:
https://chatgpt.com/share/67ac8053-bcf8-8002-951a-89bda381d3ff

#LLM #mathematics #MarkovChains #MDPs

A drunk man will find his way home, but a drunk bird may get lost forever.” What is this sentence about?

In 2D, the random walk is “recurrent”, i.e. you are guaranteed to go back to where you started; but in 3D, the random walk is “transient”, the opposite of “recurrent”. In fact, for the 2D case, that also means that you are guaranteed to go to ALL places in the world (the only constraint is, of course, time). [Think about why.]

Markov chains are also an important tool in modelling the real world, and so I feel like this is a good excuse for bringing it up.

At the end, I also compare this phenomenon to Stein’s paradox – in both cases, there is a cutoff between 2 and 3 dimensions, and they have similar intuitive explanation – is that a coincidence?

Random walks in 2D and 3D are fundamentally different

#MarkovChain #MarkovChains #Math #Mathematics #nowWatching #randomWalk #randomness #StochasticProcess #YouTube

So the results are fun to browse, but sometimes a bit too nonsensical.

Anyone experienced with #MarkovChains able to share any tips on how to make the output better?

#CreativeCoding #GenerativeText

So the results are fun to browse, but sometimes a bit too nonsensical.

Anyone experienced with #MarkovChains able to share any tips on how to make the output better?

#CreativeCoding #GenerativeText

These datasets may or may not exist, yet.

https://thisdatasetdoesnotexist.com

#data #dataset #dataviz #SideProject #MarkovChains

These datasets may or may not exist, yet.

https://thisdatasetdoesnotexist.com

#data #dataset #dataviz #SideProject #MarkovChains

Data-driven memory-dependent abstractions of dynamical systems

by Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
arXiv:2212.01926. https://arxiv.org/pdf/2212.01926.pdf

#dynamicalSystems #memory #abstraction #markovChains #sampling #finiteAbstractions #ergodicity #dynamicalModels

Data-driven memory-dependent abstractions of dynamical systems

by Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
arXiv:2212.01926. https://arxiv.org/pdf/2212.01926.pdf

#dynamicalSystems #memory #abstraction #markovChains #sampling #finiteAbstractions #ergodicity #dynamicalModels

Sara Adkins is Jamming Out with Machines - Asking machines to make music by themselves is kind of a strange notion. They’re machines, after all... more: https://hackaday.com/2019/12/04/sara-adkins-is-jamming-out-with-machines/ #2019hackadaysuperconference #machinelearning #neuralnetworks #musicalhacks #markovchains #algorithm #supercon #music #cons #midi #fft