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Your quiet, text-first reading library.

2026-03-14

Estimating $π$ with a Coin

[Submitted on 16 Feb 2026 (v1), last revised 10 Mar 2026 (this version, v3)] · arXiv.org

We describe a simple Monte Carlo method for estimating $π$ by tossing a coin. Although the underlying Catalan-number series identities appear implicitly in the probability theory literature, the interpretation of $\fracπ{4}$ presented here seems to be new.

2026-03-13

Homeopathic dilutions

Contributors to Wikimedia projects · Wikimedia Foundation, Inc.

In homeopathy, homeopathic dilution (known by practitioners as "dynamisation" or "potentisation") is a process in which a substance is diluted with alcohol or distilled water and then vigorously shaken in a process called "succussion". Insoluble solids, such as quartz and oyster shell, are diluted by grinding them with lactose (trituration). The founder of homeopathy, Samuel Hahnemann (1755–1843), asserted that the process of succussion activated the "vital energy" of the diluted substance,[1] a

2026-03-11

Fungal electronics

[Submitted on 22 Nov 2021] · arXiv.org

Fungal electronics is a family of living electronic devices made of mycelium bound composites or pure mycelium. Fungal electronic devices are capable of changing their impedance and generating spikes of electrical potential in response to external control parameters. Fungal electronics can be embedded into fungal materials and wearables or used as stand alone sensing and computing devices.

2026-03-10

Building a Procedural Hex Map with Wave Function Collapse

felixturner.github.io

Procedural medieval islands from 4,100 hex tiles, built with WebGPU and a lot of backtracking.

GitHub - soleio/luck: A skill for improving the luck of your AI stack and projects—developed from an applied theoretical framework. Multiple diagnostic components, named failure modes, testable predictions, and an operational checklist for AI systems.

GitHub

A skill for improving the luck of your AI stack and projects—developed from an applied theoretical framework. Multiple diagnostic components, named failure modes, testable predictions, and an opera...

GitHub - hyperspaceai/agi: The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully peer-to-peer. Join from your browser or CLI.

GitHub

The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully peer-to-peer. Join from your b...

Xoshiro256** - RandomGen 2.3.0

bashtage.github.io

Container for the xoshiro256** pseudo-random number generator.

psychiatryonline.org

psychiatryonline.org

Source link only

2026-03-09

A* search algorithm

Contributors to Wikimedia projects · Wikimedia Foundation, Inc.

A* (pronounced "A-star") is a graph traversal and pathfinding algorithm that is used in many fields of computer science due to its completeness, optimality, and optimal efficiency.[1] Given a weighted graph, a source node and a goal node, the algorithm finds the shortest path (with respect to the given weights) from source to goal.

2026-03-08

GitHub - astroautomata/SymTorch: Deep Learning Interpretability with Symbolic Regression

GitHub

Deep Learning Interpretability with Symbolic Regression - astroautomata/SymTorch

GitHub - vulhunt-re/vulhunt: Vulnerability detection framework by Binarly's REsearch team

GitHub

Vulnerability detection framework by Binarly's REsearch team - vulhunt-re/vulhunt

GitHub - bbenchoff/OrthoRoute: OrthoRoute: A GPU-accelerated PCB autorouter for KiCad

GitHub

OrthoRoute: A GPU-accelerated PCB autorouter for KiCad - bbenchoff/OrthoRoute

GitHub - agentjido/jido: 🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows.

GitHub

🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows. - agentjido/jido

Model guidance | OpenAI API

developers.openai.com

Compare model features, migration guidance, and prompting best practices across OpenAI models.

GitHub - karpathy/autoresearch: AI agents running research on single-GPU nanochat training automatically

GitHub

AI agents running research on single-GPU nanochat training automatically - karpathy/autoresearch

GitHub - YaoZ720/SwarmAgenticCode: The official code for SwarmAgentic.

GitHub

The official code for SwarmAgentic. . Contribute to YaoZ720/SwarmAgenticCode development by creating an account on GitHub.

2026-03-07

Optimizing the GPU kernel — CUDA training materials documentation

enccs.github.io

In this part of the workshop, we are going to investigate how the individual kernel can take advantage of all the features provided by GPU. As an example, we are going to use the reduction problem. Consider a vector of N elements that contains floating point numbers from 0 to 1. The task is to compute the sum of all the elements in the vector. The basic approach in a serial code is to designate a single floating point variable and add elements to it one by one in a loop. Thus, on each iteration,

2026-03-05

Differential Equations - Partial Differential Equations

tutorial.math.lamar.edu

In this chapter we introduce Separation of Variables one of the basic solution techniques for solving partial differential equations. Included are partial derivations for the Heat Equation and Wave Equation. In addition, we give solutions to examples for the heat equation, the wave equation and Laplace’s equation.

2026-03-04

Algorithms Books

algorithmsbook.com

Agents UI | Build beautiful voice AI

livekit.io

Agents UI is LiveKit's open source component library built with React and shadcn for designing voice agent interfaces.

2026-03-03

GitHub - maderix/ANE: Training neural networks on Apple Neural Engine via reverse-engineered private APIs

GitHub

Training neural networks on Apple Neural Engine via reverse-engineered private APIs - maderix/ANE

Inside the M4 Apple Neural Engine, Part 2: ANE Benchmarks

manjeet singh · maderix’s Substack

Measuring the real performance of Apple's neural accelerator

Inside the M4 Apple Neural Engine, Part 1: Reverse Engineering

manjeet singh · maderix’s Substack

How we bypassed CoreML and talked directly to the hardware

About Paradigm

Paradigm

Paradigm is a technology investment firm building and investing across crypto, AI, robotics, and other emerging technologies from the earliest stages.

Large-Scale Agentic RL for CUDA Kernel Generation

CUDA Agent Team - ByteDance Seed, AIR Tsinghua, SIA-Lab · cuda-agent.github.io

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation.