probability

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#probability

What Is Entropy, Really?

Wired · 2d ago Cached

An insightful explainer on the true meaning of entropy, contrasting the common 'disorder' metaphor with a probabilistic interpretation using dice rolling analogies.

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#probability

A novel computer Scrabble engine based on probability that performs at championship level (2021)

Lobsters Hottest · 2026-07-16 Cached

A paper presenting a novel computer Scrabble engine based on probability that achieves championship-level performance.

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#probability

To KL Diverge, or Not to KL Diverge: A Question for Quants

Reddit r/LocalLLaMA · 2026-07-16

Discusses the trade-offs of using Kullback-Leibler divergence in quantitative analysis, framing it as a Hamlet-like dilemma for quants.

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#probability

Minimal Decision Dynamics and Contextual Probability: A Quantum Tug-of-War Model

arXiv cs.AI · 2026-07-13 Cached

This paper develops a quantum-like extension of the Tug-of-War decision-making model, using a qutrit internal state to model context dependence and decision dynamics, and argues that contextual probability is a resource signature of minimal decision dynamics.

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#probability

Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability

arXiv cs.CL · 2026-07-07 Cached

The paper introduces Telescope Perplexity, a metric that measures token repetition probability to detect LLM-generated text in a zero-shot manner, achieving state-of-the-art or competitive performance across diverse datasets.

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#probability

@KKaWSB: https://x.com/KKaWSB/status/2073914011524219109

X AI KOLs Timeline · 2026-07-05 Cached

This article details the learning path for an ordinary person to become a quantitative trader, covering five stages: probability, statistics, linear algebra, calculus, and stochastic calculus. It also explains the industry's compensation structure, interview requirements, and the rapid growth of AI/ML positions.

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#probability

@no_stp_on_snek: very cool. GLM seems to be like, nah we good.

X AI KOLs Following · 2026-07-05 Cached

A tweet showcases a visualization of 8 LLMs' reasoning traces on a probability question, highlighting moments of self-correction and pivoting.

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#probability

@stevibe: You know that "But, wait..." moment in every LLM thinking trace? I made it visible. I asked 8 models the same tricky pr…

X AI KOLs Following · 2026-07-05 Cached

A visualization that shows how 8 different LLMs reason through a tricky probability question, with branches representing moments of self-correction like 'But, wait...'.

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#probability

@Honcia13: What often discourages people from learning statistics and probability theory is not the knowledge itself. It's the screens full of formulas, abstract concepts, and long derivations. Many people end up not being unable to calculate, but not understanding what these concepts are really about. If you want to truly "see" probability and statistics, try this website: Seeing Theory...

X AI KOLs Timeline · 2026-06-26 Cached

Recommend an interactive visualization website called Seeing Theory to help users intuitively understand core concepts of probability and statistics, covering basic probability, distributions, inference, regression, etc., suitable for beginners and those reviewing.

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#probability

@natolambert: Another quick lecture -- I've been asked many times for prereq's to my book and what you should know, so built a little…

X AI KOLs Timeline · 2026-06-24 Cached

Nathan Lambert shares a video lecture covering prerequisites for his book, including language model basics, probabilities, and training pipelines, using GLM 5.2.

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#probability

Seven Perfect Shuffles Randomize a Deck of Cards. But How Many Sloppy Ones?

Hacker News Top · 2026-06-18 Cached

Mathematicians have extended the classic 1992 proof about card shuffling to less precise shuffles, showing that a 'cutoff phenomenon' still occurs even with uneven deck splits.

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#probability

On the evolution of the concept of probability as a mirror of the evolution of reason

arXiv cs.AI · 2026-06-02 Cached

This paper argues that probability theory is a historically evolving form of rationality, tracing its development from combinatorial games to Bayesian inference and contrasting it with fuzzy logic and deep learning.

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#probability

KL Zero: KL divergence intuition game

Hacker News Top · 2026-05-30 Cached

KL Zero is an interactive browser game where players draw a probability distribution to match a target KL divergence value, helping users intuitively understand the concept of KL divergence in machine learning.

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#probability

@techwith_ram: This is a great lecture at MIT by David Shirokoff on Markov Chains. He covers the fundamentals of Markov Chains using a…

X AI KOLs Timeline · 2026-05-23 Cached

A tweet shares a lecture at MIT by David Shirokoff covering the fundamentals of Markov Chains, including transition probabilities, Markov matrices, eigenvalues, and long-term steady state.

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#probability

@0xMovez: Jane Street pays $750k/ year for quants who can answer how to use Stochastic Process and Markov Chains in quant trading…

X AI KOLs Timeline · 2026-05-12 Cached

Jane Street offers $750k/year for quants who can apply Stochastic Processes and Markov Chains in trading, and a free MIT lecture covers similar material.

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#probability

When is your birthday? The math behind hash collisions

Hacker News Top · 2026-05-08 Cached

An educational essay explaining the Birthday Paradox math and its application to hash collisions in cryptography, covering probability calculations for matching birthdays and the historical context of Richard von Mises' contributions.

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#probability

From Buffon's Needle to Buffon's Noodle

Hacker News Top · 2026-05-07 Cached

The article presents an elegant geometric proof for Buffon's Needle problem by extending the concept to curved 'noodles' and using a circle to determine the probability constant, avoiding complex integrals.

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