The hottest Simulation Substack posts right now

And their main takeaways
Category
Top Technology Topics

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

From Monte Carlo to Stockholm

HackBoyFly • 1 HN point • 17 Jul 24
💰 Finance Investments Simulation Real Estate Data Analysis
  1. Using a Monte Carlo Simulation can help estimate a wide range of potential outcomes when making investment decisions like buying an apartment in Stockholm
  2. Historical data, mean annual returns, and standard deviations are crucial inputs for simulations to introduce randomness and variability to financial projections
  3. Visualizing simulations through charts can provide insights on possible outcomes, such as optimistic and pessimistic scenarios, aiding in making informed decisions about investments

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.

Import AI 375: GPT-2 five years later; decentralized training; new ways of thinking about consciousness and AI

Import AI • 1 HN point • 03 Jun 24
🕹 Technology AI AI training Ethics Simulation Decentralization
  1. The GPT-2 model release by OpenAI was significant, sparking debate with its unusual publishing strategy and predictions of potential applications and misuses that actually came to pass over time.
  2. In the exploration of AI policy and consciousness, it is challenging to predict the timing and impact of advances accurately, highlighting the importance of evidence-based claims and the potential consequences of regulatory actions.
  3. Decentralized AI training presents compelling incentives like cost-efficiency but faces obstacles due to network and technical challenges, which could disrupt current AI policy assumptions.
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[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.

Adding a new RISC-V instruction (to LLVM)

Fprox’s Substack • 20 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

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.

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.

Today’s AI sucks at math, but developing cars and planes with it is still a good idea

Assisted Everything • 2 HN points • 23 Feb 23
🕹 Technology Engineering AI Hardware Simulation Design
  1. Today's AI can assist in engineering tasks and lead to faster and safer product design.
  2. Assisted Engineering involves AI assisting engineers in brainstorming, retrieving information, triggering simulations, reviewing work, system modeling, and documenting.
  3. To ensure safety, AI in engineering should be complemented with math, engineering structure, and proper verification processes.

Adding a new RISC-V extension (to spike)

Fprox’s Substack • 2 HN points • 14 Apr 23
🕹 Technology Coding Simulation Extensions Development Testing
  1. The post describes how to extend the RISC-V ISA simulator Spike to implement a new instruction for vector AES-128 encryption.
  2. It covers steps like adding the new opcode in riscv-opcodes, declaring the new instruction in riscv-isa-sim, and testing the program.
  3. The process involves modifying opcode header files, updating the simulator, and building a test program to implement and verify the new instruction.

The Limits of the Existence Proof Argument for General Intelligence

Amadeus Pagel's Newsletter • 0 implied HN points • 19 Sep 23
🔬 Science Artificial Intelligence General Intelligence Simulation
  1. The existence proof argument for general intelligence is not conclusive because the existence of something does not prove it can be perfectly simulated by a computer.
  2. Concerns about artificial intelligence should not be based on the assumption that it would be fundamentally different from human intelligence.
  3. The existence of one thing does not prove the possibility of a fundamentally different thing.

coldsteel003: Simfiltrator

Do Not Research • 0 implied HN points • 15 Oct 22
🎭️ Culture Society Humanity Technology Communication Simulation
  1. The post discusses the concept of society as a game environment where technology and human perception intersect in complex ways.
  2. It explores the idea of alienation and the difficulty in seeing others as individuals in a society where everyone is supposed to be unique.
  3. The narrative in the post reflects a struggle between real humans and what are portrayed as non-playable entities within a simulated reality.

Any Angel: Realness Scars

Do Not Research • 0 implied HN points • 15 Oct 22
🎨 Art & Illustration Neural Networks Illustrations Text Simulation
  1. The video essay 'Realness Scars' was written and illustrated by neural networks, with the script by OpenAI's GPT-3 and images by Midjourney.
  2. The text explores a landscape where representation is overshadowed by 'realness scars,' reflecting on traces of simulation absorbed by infrastructures.
  3. The collaboration between AI models like GPT-3 and artists like Midjourney can lead to innovative and thought-provoking creative projects.

Simulating the World (Pt. 3)

Homo Ludens • 0 implied HN points • 12 Mar 24
💾 History Military Gaming Training Simulation Academia
  1. Simulating the world through games and gaming is a distinguishing trait of humankind, separating us from animals.
  2. Academic interest in war games, especially traditional ones, has grown significantly in recent decades and offers valuable analytical tools for studying military history.
  3. War games have played a crucial role in the training of military officers throughout history, with a notable influence on strategy development and operational effectiveness.

All About Physical AI

Sector 6 | The Newsletter of AIM • 0 implied HN points • 08 Jun 24
🕹 Technology AI Robotics Software Simulation Automation
  1. Physical AI is a newer type of technology that can understand instructions and do complex tasks by itself. It has the potential to change how industries operate.
  2. NVIDIA is a key player in this field, with its simulation tool called Omniverse helping to bring these advanced robotic technologies to life.
  3. The upcoming wave of AI involves integrating robotics deeply into our everyday lives, making it an exciting time for technological advancements.

Yet More On Decoupling, Part 6 – steering in the right direction

filterwizard • 0 implied HN points • 08 Sep 24
🕹 Technology Engineering Electronics Simulation Circuit Design Components
  1. The choices you make on power supply and decoupling components can significantly affect how accurately an op-amp performs. It's important to choose components wisely.
  2. Using larger decoupling capacitors generally leads to better performance by reducing fluctuations in the power supply that can affect the output of the amplifier.
  3. Don't assume low ESR capacitors are always best; sometimes, adding a bit of resistance can actually improve performance by helping to manage fluctuations in power.

Yet More On Decoupling, Part 5 – When Harry Regulator Met Sally Op-Amp

filterwizard • 0 implied HN points • 08 Sep 24
🕹 Technology Electronics Engineering Simulation Circuit Design Hardware
  1. Choosing the right decoupling and regulator output capacitors is important. These choices can affect how well your op-amp circuits work.
  2. Temporary signals on an op-amp's supply pins can impact its output. This can be critical if your system needs to be very accurate.
  3. Using too much of a certain type of capacitor can lead to unexpected issues. It's better to choose components that match the recommendations from manufacturers.

Yet More On Decoupling, Part 4 – Don’t Get Into A Macromuddle!

filterwizard • 0 implied HN points • 08 Sep 24
🕹 Technology Electronics Simulation Circuit Design Modeling Amplifiers
  1. Many op-amp simulation models don’t accurately show how they react to power supply changes. This makes it hard to trust the results from these models.
  2. Just because an op-amp is high quality doesn't mean its simulation model will behave well in tests. It's important to check each model individually.
  3. Finding a reliable op-amp model for testing took a lot of effort. Even after trying many, only a few performed as expected.

Yet More On Decoupling, Part 3 – Some gain, some pain

filterwizard • 0 implied HN points • 08 Sep 24
🕹 Technology Engineering Electronics Design Simulation
  1. Op-amps can't perfectly reject power supply noise because their output always depends on the voltage at their power pins. If the supply voltage changes, the output will too.
  2. Unlike some other components, op-amps don't have a ground connection, meaning their performance can be affected by how the power supply is treated in circuit designs.
  3. It's important to understand that variations in supply voltage will be reflected at the op-amp's output, contrary to what some datasheets might imply.

Yet More On Decoupling, Part 2: ring the changes, change the rings

filterwizard • 0 implied HN points • 07 Sep 24
🕹 Technology Electronics Engineering Audio Simulation Design
  1. Using high-ESR capacitors helps control unwanted signals in power supplies, making circuits work better at high frequencies.
  2. Smaller decoupling capacitors can cause bigger voltage spikes when the load changes, which can affect circuit performance.
  3. In audio circuits, having a bump in regulator impedance can affect sound quality, and simply adding larger capacitors may not fix the issue.

Yet More On Decoupling, Part 1: The Regulator’s Interaction with capacitors

filterwizard • 0 implied HN points • 07 Sep 24
🕹 Technology Engineering Electronics Simulation Circuit Design
  1. Using Y5V capacitors can be tricky. Always check how the DC voltage affects their capacitance because it can drop much lower than expected.
  2. Linear dropout regulators (LDOs) can have increasing output inductance when the load current decreases. This can cause unexpected peaks in impedance, so adding a bypass capacitor can help smooth things out.
  3. Simulating circuits before building them is really helpful. It helps catch problems early and saves time in the long run.

Procedural Flow for Mechanical Design

The Halfway Point • 0 implied HN points • 26 Apr 24
🕹 Technology Engineering Design Manufacturing Simulation Prototyping
  1. When designing a product, it's crucial to define the project scope clearly. This helps prevent misunderstandings and changes that can be costly later on.
  2. Using tools like design block diagrams can help visualize the design process. This makes it easier to define parts and see how everything fits together.
  3. Consider the quantity and materials needed for the design early on. This affects manufacturing choices and ultimately how well the product can be made.

The Lost Age Of Abundance: a strategy game for deep thinkers

Demodexio • 0 implied HN points • 21 Jan 25
🕹 Technology Gaming Simulation Economics Sociology Strategy
  1. The game allows players to lead families in a shattered empire, focusing on complex economics and sociology rather than just warfare. Players can choose their leadership style and aim to restore prosperity.
  2. Families in the game have individual histories and desires, influencing their decisions about loyalty and moving between territories. Players need to understand these dynamics to maintain their power and support.
  3. The primary goal of the game includes fostering freedom and happiness among families. Players must balance their actions to build a flourishing society while navigating challenges and aspirations of the peasants.

Generative Agents 2.0

Gonzo ML • 0 implied HN points • 24 Feb 25
🕹 Technology AI Research Simulation Data science Behavioral Science
  1. Researchers successfully created AI agents that can simulate 1,052 real people with about 85% accuracy. This means the AI can closely mimic how real people would respond in various situations.
  2. The study highlights the importance of interviews over surveys, as they provide deeper insights into people’s behaviors and thoughts, allowing the AI to generate better follow-up questions and responses.
  3. These AI agents have potential uses in social science research. They could help predict public reactions to policy changes or simulate behavioral responses, leading to new methods of understanding human decision-making.

Are AI Girlfriends the Great Filter?

Neural Networking • 0 implied HN points • 14 Jan 24
🕹 Technology AI Simulation Brain Energy consumption GDP
  1. The Fermi paradox questions why we haven't encountered extraterrestrial life despite the vastness of the universe.
  2. The possibility of AI advancing to perfectly stimulate human reward pathways might lead to a decline in the desire for outward expansion.
  3. Current trends in global population growth, energy consumption, and GDP concentration suggest that the need for physical exploration may be diminishing.

Position bias in features

Simplicity is SOTA • 0 implied HN points • 12 Feb 24
🔬 Science Machine Learning Bias Features Ranking Simulation
  1. Position bias can affect the inputs of machine learning models when features reflect prior user behavior, leading to biased estimations of relevance.
  2. Using inverse propensity weighting (IPW) like IPW-CTR can help mitigate position bias in features, but it can result in high variance due to dividing by small numbers.
  3. The choice of weights to measure position bias is crucial, as observed click propensities may overestimate the bias, impacting the performance of features designed to address bias-variance trade-offs.