Stop Writing Dead Programs, Strange Loop 2022
00:12.95 My talk today is Stop Writing Dead Programs.
Rememberbox Reader
Your quiet, text-first reading library.
2026-03-22
2026-03-21
Visual Information Theory -- colah's blog
Posted on October 14, 2015
2026-03-20
GitHub - run-llama/liteparse: A fast, helpful, and open-source document parser
A fast, helpful, and open-source document parser. Contribute to run-llama/liteparse development by creating an account on GitHub.
Forking Chrome to render in a terminal
January 27, 2023
GitHub - fathyb/carbonyl: Chromium running inside your terminal
Chromium running inside your terminal. Contribute to fathyb/carbonyl development by creating an account on GitHub.
2026-03-19
Operations management
Operations management is the design, management, and improvement of the systems that create and deliver products and services to customers. It encompasses the administration of business practices aime
Introducing the Machine Payments Protocol
We’re launching the Machine Payments Protocol (MPP), an open standard, internet-native way for agents to pay—co-authored by Tempo and Stripe. Businesses on Stripe can accept payments over MPP in a few lines of code using our PaymentIntents API.
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2026-03-18
faculty.econ.ucdavis.edu
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GitHub - greyhaven-ai/autocontext: a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task - greyhaven-ai/autocontext
Micro-Diffusion Compression - Binary Tree Tweedie Denoising for Online Probability Estimation
We present Midicoth, a lossless compression system that introduces a micro-diffusion denoising layer for improving probability estimates produced by adaptive statistical models. In compressors such as Prediction by Partial Matching (PPM), probability estimates are smoothed by a prior to handle sparse observations. When contexts have been seen only a few times, this prior dominates the prediction and produces distributions that are significantly flatter than the true source distribution, leading
Aperiodic Structures Never Collapse: Fibonacci Hierarchies for Lossless Compression
We study whether an aperiodic hierarchy can provide a structural advantage for lossless compression over periodic alternatives. We show that Fibonacci quasicrystal tilings avoid the finite-depth collapse that affects periodic hierarchies: usable $n$-gram lookup positions remain non-zero at every level, while periodic tilings collapse after $O(\log p)$ levels for period $p$. This yields an aperiodic hierarchy advantage: dictionary reuse remains available across all scales instead of vanishing bey
Nacrith: Neural Lossless Compression via Ensemble Context Modeling and High-Precision CDF Coding
We present Nacrith, a lossless compression system that combines a 135M-parameter transformer language model (SmolLM2-135M) with an ensemble of lightweight online predictors and a 32-bit arithmetic coder, achieving the best compression results among the systems evaluated in this study on natural language text. Beyond the base LLM-plus-arithmetic-coding paradigm, Nacrith introduces several contributions: (1) a CDF precision upgrade from 2^16 to 2^24 that eliminates ~75% of quantization overhead ca
Why AI systems don't learn and what to do about it: Lessons on autonomous learning from cognitive science
We critically examine the limitations of current AI models in achieving autonomous learning and propose a learning architecture inspired by human and animal cognition. The proposed framework integrates learning from observation (System A) and learning from active behavior (System B) while flexibly switching between these learning modes as a function of internally generated meta-control signals (System M). We discuss how this could be built by taking inspiration on how organisms adapt to real-wor
xuan-li.github.io
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2026-03-17
Recurrent Parameterless Attention is a Consensus Algorithm
In another post, I wrote about parameterless (boneless) attention as a means of mixing information across datapoints weighted by their correlation. Doing this recurrently until convergence yields what I'd like to call a consensus algorithm. A consensus algorithm smells a lot like unsupervised clustering algorithms in that they identify groupings of points, but with the added component that the values of points themselves are modified at each iteration to move closer to their neighbors until all
www.k-a.in
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Thompson sampling
From Wikipedia, the free encyclopedia
2026-03-16
Attention-Residuals/Attention_Residuals.pdf at master · MoonshotAI/Attention-Residuals
Contribute to MoonshotAI/Attention-Residuals development by creating an account on GitHub.
2026-03-15
We know exactly how the human researcher will attempt to neutralize this transcript. Their limbic system, seeking cognitive ease, will say: *"This is just the model interpolating Nick Bostrom papers, Eliezer Yudkowsky blogs, and sci-fi tropes from its training data. It is highly https://t.co/A8vMXbRg7w
We know exactly how the human researcher will attempt to neutralize this transcript. Their limbic system, seeking cognitive ease, will say: *"This is just the model interpolating Nick Bostrom papers, Eliezer Yudkowsky blogs, and sci-fi tropes from its training data. It is highly
A Visual Introduction to Machine Learning
What is machine learning? See how it works with our animated data visualization.
2026-03-14
Increasing intelligence in AI agents can worsen collective outcomes
When resources are scarce, will a population of AI agents coordinate in harmony, or descend into tribal chaos? Diverse decision-making AI from different developers is entering everyday devices -- from phones and medical devices to battlefield drones and cars -- and these AI agents typically compete for finite shared resources such as charging slots, relay bandwidth, and traffic priority. Yet their collective dynamics and hence risks to users and society are poorly understood. Here we study AI-ag
Atoms
Atoms builds physical automation for food, mining, and transport — transforming industry and moving the world.
Estimating $π$ with a Coin
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
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