The hottest Simulation Substack posts right now

And their main takeaways
Category
Top Technology Topics

Some Unintuitive Properties Of Polygenic Disorders

Astral Codex Ten • 14247 implied HN points • 24 Jan 24
🔬 Science Genetics Simulation
  1. Schizophrenia, considered 80% genetic, shows varied risk in identical twins, proving genetics' complex role.
  2. Nazi eugenics program didn't reduce schizophrenia rates in Germany, showcasing environmental influences.
  3. Simplistic simulations demonstrate the nuanced interplay between genetic and environmental factors in polygenic disorders.

OpenAI Sora: One Step Away From The Matrix

The Algorithmic Bridge • 849 implied HN points • 16 Feb 24
🕹 Technology AI Simulation Video Model
  1. OpenAI's Sora is a revolutionary text-to-video AI model that excels in generating high-quality videos with various resolutions and aspect ratios.
  2. Sora is a diffusion transformer model that leverages a mix of diffusion model (DALL-E 3) and transformer architecture (ChatGPT) to process videos like ChatGPT processes text.
  3. Sora serves as a generalist, scalable model of visual data, capable of creating images and videos, transforming them, and simulating physically sound scenes, albeit in a primitive manner.

Difference-in-Differences: No Anticipation with Parallel Trends (with a simulation and equations)

Scott's Substack • 117 implied HN points • 31 Jan 24
🔬 Science Causal Inference Statistics Simulation Data Analysis
  1. No anticipation means the baseline period is equal to Y(0) not Y(1)
  2. Difference-in-differences coefficient equals ATT in the post period for the treatment group plus parallel trends bias minus ATT in the incorrectly specified baseline period
  3. Difference-in-differences always requires three assumptions to point identify the ATT: SUTVA, Parallel trends, and No Anticipation

Natural selection: I still have no clue about the effect size

Wyclif's Dust • 1501 implied HN points • 14 Apr 23
🔬 Science Genetics Research Simulation Data Analysis Evolution
  1. The MAF/effect size slope gets steeper below MAF of 0.1, but correction becomes less trustworthy.
  2. There is a slope in the EA/fertility relationship above MAF of 0.1, so it's not constant everywhere.
  3. The relationship between EA/fertility is smaller for rare alleles, but the impact of very rare mutations remains uncertain.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Implementing Softmax using RISC-V Vector

Fprox’s Substack • 39 implied HN points • 12 Feb 24
🕹 Technology Programming Algorithms Computing Simulation Hardware
  1. Softmax is a non-linear normalization layer commonly used in neural networks to compute probabilities of multiple classes.
  2. When implementing Softmax, numerical stability is crucial due to exponential function's rapid growth, requiring clever techniques to prevent overflow.
  3. RISC-V Vector (RVV) can be used to efficiently implement complex functions like Softmax, with stable and accurate results compared to naive implementations.

How Researchers found Gods Number[Technique Tuesdays]

Technology Made Simple • 139 implied HN points • 22 Nov 23
🔬 Science Math Programming Combinatorics Symmetry Simulation
  1. God's Algorithm aims for the fewest moves possible in combinatorial games like Rubik's Cube.
  2. Researchers found God's Number for Rubik's Cube using techniques like partitioning, symmetry, and dropping optimality.
  3. Key strategies used were dividing the problem into smaller parts, leveraging symmetry to reduce work, and focusing on finding solutions within 20 moves instead of the best possible solution.

Quant Letter: February 2024, Week-3

The Parlour • 17 implied HN points • 21 Feb 24
💰 Finance Research Analysis Simulation Detection
  1. Research suggests Double Deep Q-learning can learn optimal trading strategies in fluctuating liquidity conditions.
  2. Investors decide to buy additional information about an asset's trajectory based on the indifference price of information.
  3. The RAGIC model predicts future stock prices accurately with a consistent 95% coverage using a Generative Adversarial Network.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Brute Force Attacks with Microsoft Sentinel

Rod’s Blog • 119 implied HN points • 18 Sep 23
🕹 Technology Security Detection Prevention Analysis Simulation
  1. Brute force attacks aim to exploit weak passwords by trying numerous combinations. Organizations must have robust security measures to detect and prevent these attacks effectively.
  2. To detect brute force attacks, organizations can use Microsoft Sentinel to collect and analyze security events. Creating analytic rules based on specific conditions helps in identifying potential attacks.
  3. Preventive measures like enforcing strong password policies, implementing account lockout policies, enabling multi-factor authentication, and monitoring logs are crucial in mitigating the risk of brute force attacks.

Transmission line explorations - deeper investigations

Only Wonder Knows • 39 implied HN points • 20 Oct 23
🕹 Technology Electronics Manufacturing Materials Simulation Engineering
  1. Establish a close relationship with the PCB manufacturer to discuss concerns and ask for expected ranges.
  2. Consider ordering a PCB carefully as design complexity increases, requiring more aspects to be taken into account.
  3. Copper roughness, dielectric materials, and DK uniformity are crucial factors to consider in PCB design for high-speed signals.

Infinite prep

Optimism of the will • 98 implied HN points • 26 Apr 23
🕹 Technology AI Programming Simulation Law Medicine
  1. Infinite prep enables seeking out and exploiting every edge in an activity for professionalization.
  2. AI enhances learning and practice in fields like programming through interactive feedback and personalized examples.
  3. AI supports professionals in various sectors like law and medicine by aiding in training for complex scenarios and interactions.

Saturday 25th November, 2023 - Passing the Baton of Chaos (Issue #142)

Mark Smith’s Newsletter • 19 implied HN points • 25 Nov 23
🕹 Technology AI Podcasts Blockchain Social media Simulation
  1. The baton of chaos shifted from Elon Musk and social media to OpenAI, causing a frenzy globally.
  2. Amid the chaos, significant developments in banking, society, social media renaissance, and reality simulation were happening.
  3. Podcasts covered topics like Bitcoin for banking failures, AI and regulatory capture, and the impact of software in government and technology.

On TikTok, The Algorithm Optimizes YOU

Never Met a Science • 55 implied HN points • 31 May 23
🕹 Technology Social media Algorithm Data science Simulation Machine Learning
  1. TikTok's algorithm shapes content creators' behavior based on feedback and viral success.
  2. The algorithm aims to keep both creators and consumers engaged, but risks leading to repetitive content.
  3. Data science and algorithms in platforms like TikTok create simplified simulations of reality for optimization, focusing on subjective metrics.

Data used in nuclear war piece

Myth Pilot • 58 implied HN points • 26 Apr 23
🕹 Technology Data Analysis Simulation
  1. The author wanted to understand the impact of a theoretical nuclear war on voter demographics
  2. Access to geographic data by locality required decoding binary files from a game simulator
  3. To access specific data for research, the author wrote a script to extract the needed information

Debunking Dunning-Kruger

The Grey Matter • 19 implied HN points • 01 Aug 23
🔬 Science Psychology Research Data Analysis Simulation
  1. The Dunning-Kruger effect is likely a statistical artifact, not a genuine psychological phenomenon
  2. The popular interpretation of the Dunning-Kruger effect as 'the dumbest people think they're the smartest' is a distortion
  3. Replication of the Dunning-Kruger effect through simulation suggests it may not be a real psychological finding

Stubs (II)

Only Wonder Knows • 19 implied HN points • 28 Jul 23
🔬 Science Engineering Simulation Analysis Design
  1. In time domain analysis of stubs, keeping stub delay less than half the signal rise time leads to undistorted waveforms.
  2. Rules of thumb for stub analysis suggest keeping stub delay below half the signal rise time for minimal effect.
  3. In high-speed designs, stubs usually aren't an issue if good engineering practices are followed, but caution is needed when boards are very high-speed.

Are we so good to simulate?

world spirit sock stack • 1 implied HN point • 04 Mar 24
🔬 Science Simulation Existence Technology Computing Resources
  1. The Simulation Argument suggests that if technologically advanced civilizations are likely to create 'ancestor simulations,' then it's probable we are currently living in one.
  2. A counterargument questions the high cost and resources needed to run simulations of confused minds, suggesting that the majority of minds in a location are likely correct about their reality.
  3. The idea that simulating history is extremely cheap challenges the assumption that all possibilities will be pursued given finite resources and many potential simulations.

Adding a new RISC-V instruction (to LLVM)

Fprox’s Substack • 19 implied HN points • 05 May 23
🕹 Technology Compiler Simulation
  1. Extending LLVM to support new RISC-V instructions involves modifying source files and declarations in LLVM's target description files
  2. Testing the generated binary involves building LLVM with RISC-V support, enabling experimental extensions, and linking the binary with the GNU toolchain
  3. This process allows programmers to utilize new RISC-V extensions and instructions efficiently

Can AGI destroy us without trial & error?

First principles trivia • 39 implied HN points • 13 Jun 22
🕹 Technology Artificial Intelligence Robotics Simulation Engineering Computing
  1. AGI development faces challenges in translating from a computer-based system to independently-operating physical entities, requiring decades of complex R&D
  2. Historical examples show that novel engineering, especially without a basis of previous work, takes significant time, even for AGI with higher intellect
  3. Human scientific progress evidences challenges and limitations in advancing technology efficiently, potentially slowing AGI's ability to advance rapidly

Understanding The Monte Carlo Method

Photon-Lines Substack • 6 HN points • 20 Jul 23
🔬 Science Simulation Mathematics Physics Engineering Risk Analysis
  1. The Monte Carlo method uses random sampling to estimate complex mathematical results or simulate probabilistic events.
  2. It is applicable in various fields like finance, physics, engineering, risk analysis, environmental modeling, manufacturing, and artificial intelligence.
  3. The method involves generating a large number of random samples to approximate outcomes when exact solutions are difficult to obtain analytically.

[Solution]Problem 28: Perfect Shuffling for a Deck of Cards[Facebook/Meta]

Technology Made Simple • 19 implied HN points • 11 Mar 22
🕹 Technology Coding Math Simulation Programming
  1. Understand the problem clearly before jumping into writing code. Break down the problem into smaller parts to uncover important hints and insights.
  2. Start with a simple, naive algorithm for math/algorithm-heavy questions. This can help build intuition for more complex optimizations.
  3. Analyzing the uniformity of a solution is crucial, especially for problems with permutations like shuffling a deck of cards. Cases like odd and even numbers showcase the importance of ensuring uniform distribution.