Exploring Artificial Intelligence

I am an assistant teaching professor at the University of Notre Dame. I mostly teach courses on artificial intelligence. This landing page is intended to serve both as a collection of my courses, and a list of materials that I myself am learning from. In addition to this ever lengthening list, I also maintain a modest library of books related to the topic, and encourage students to browse the library and come borrow books from me if they're interested.

Explore core AI algorithms through interactive visualizations. These tools are designed to help you understand how fundamental algorithms work by watching them execute step-by-step.

A* Pathfinding

Visualize the A* search algorithm finding optimal paths through grids. Compare heuristics like Manhattan, Euclidean, and Dijkstra.

Search Heuristics

Minimax & Alpha-Beta

Watch game trees expand with minimax and alpha-beta pruning. Play Tic-Tac-Toe and Nim against optimal strategies.

Game Theory Adversarial

K-Nearest Neighbors

Explore the KNN algorithm with interactive classification. Add training points, adjust K, and visualize decision boundaries.

Classification ML

Decision Tree

Build and visualize decision trees for classification. Watch how splits partition the feature space and explore tree structure.

Classification ML

Embeddings

Project MNIST and CIFAR-10 embeddings into 2D using PCA, t-SNE, and UMAP. Watch the embeddings evolve during training.

ML Visualization

Constraint Satisfaction

Solve Shidoku (4x4 Sudoku) with backtracking, AC-3, MRV, and MAC. Visualize search trees and arc consistency.

CSP Backtracking

Bayesian Networks

Explore probabilistic graphical models. Edit conditional probability tables and compute posterior probabilities given evidence.

Probabilistic Inference

Expert Systems

Learn forward and backward chaining inference. Watch rules fire step-by-step and see how conclusions are derived from facts.

Inference Knowledge

Perceptron Learning

Watch a perceptron learn a linear decision boundary step-by-step. Explore convergence and failure on non-separable data.

Classification Linear Models

Shannon Entropy

Explore information theory fundamentals. Adjust probability distributions and visualize how entropy measures uncertainty.

Information Theory Probability

Cross-Entropy Loss

Watch how neural network predictions evolve during training. See cross-entropy loss decrease as the model learns.

Neural Networks Classification

Linear Transformations

See how weight matrices transform 2D space. Watch grids warp, basis vectors rotate, and unit circles stretch into ellipses.

Neural Networks Linear Algebra

Linear Regression

Explore linear regression with interactive point placement, gradient descent animation, and loss surface visualization.

Regression ML Fundamentals

Clustering

Visualize K-Means clustering with step-by-step centroid animation. Explore different datasets and watch clusters form.

Unsupervised Clustering

Feed-Forward Neural Network

Build and train neural networks interactively. Watch forward passes, decision boundaries evolve, and explore activation functions.

Deep Learning Neural Networks

Reinforcement Learning

Watch an agent learn optimal policies in grid worlds through Q-learning and SARSA. Visualize Q-tables and exploration.

RL Q-Learning

Support Vector Machines

Explore maximum margin classification with support vectors, kernel tricks, and the C parameter for soft margins.

Classification SVM

Logistic Regression

Visualize logistic regression with sigmoid function, decision boundary animation, and gradient descent on log-loss.

Classification ML Fundamentals

Backpropagation

Trace a prediction forward, follow gradients backward, inspect every chain-rule factor, and watch gradient descent update each weight.

Deep Learning Training

Convolutional Neural Networks

Watch convolution filters slide over images, producing feature maps. Explore pooling operations and custom kernels.

Deep Learning CNN

Markov Models & HMM

Explore Markov chains and Hidden Markov Models with interactive state diagrams, transition matrices, and the Viterbi algorithm.

Probabilistic Sequences

Markov Babbler

Build word-level Markov chains from text corpora and watch as they generate new prose one word at a time. Adjust n-gram order and explore how context shapes language.

Probabilistic Text Generation

Principal Component Analysis

Visualize PCA with eigenvector directions, dimensionality reduction projections, and variance explained plots.

Dimensionality Reduction Unsupervised

PCA Explorer

Drag principal component axes to explore variance maximization, projections, and the geometry of PCA in 2D.

Dimensionality Reduction Unsupervised

Transformers & Attention

Explore self-attention with an interactive architecture diagram: navigate attention heads in a scrollable gallery, expand Q/K/V projections, and trace how tokens attend to each other.

Deep Learning NLP

RNN & LSTM

Explore an interactive RNN architecture diagram: click layers to expand and see embedding lookups, hidden state computations, weight matrices, and next-token predictions.

Deep Learning Sequences

Naive Bayes Classifier

Classify text as spam or ham using Naive Bayes. See word probabilities, prior vs posterior, and Laplace smoothing in action.

Classification Probabilistic

Diffusion Models

Watch the forward and reverse diffusion process. See how noise is progressively added and then removed to generate data.

Deep Learning Generative

BPE Tokenizer

Watch BPE build a subword vocabulary by iteratively merging the most frequent character pairs.

NLP Tokenization

RLHF Pipeline

Explore how Reinforcement Learning from Human Feedback aligns LLMs using preference data, reward models, and PPO.

LLMs Alignment

Attention Mechanism

Step through scaled dot-product attention: watch Q/K/V projections, score computation, softmax, and value aggregation animate in real time.

Deep Learning NLP

L1 & L2 Regularization

Explore how L1 and L2 penalties reshape the loss surface in 3D. See why L1 produces sparsity and L2 shrinks weights smoothly.

Regularization Optimization

Normalization Techniques

Compare BatchNorm, LayerNorm, InstanceNorm, GroupNorm, and RMSNorm. See which tensor dimensions each technique normalizes over.

Deep Learning Normalization

CSE 10124 · Building ChatGPT

Changelog

Warn instead of failing when lecture resources are missing (#3) Sep 18, 2026
Fail builds when current lecture resources are missing Sep 04, 2026
Theme Lab 01 notebook preview (#2) Aug 30, 2026
Restore Lab 01 HTML preview (#1) Aug 30, 2026

CSE 30124 · Introduction to Artificial Intelligence

Changelog

Link released HW03 notebook and enable themed preview Sep 15, 2026
Use published notebook preview for Homework 01 Sep 09, 2026
Embed published HW02 notebook preview on course page Sep 09, 2026
Refresh Homework 01 notebook preview Sep 01, 2026

The Hundred-Page Language Models Book: hands-on with PyTorch (The Hundred-Page Books)

Andriy Burkov

Physical

Amazon order: 2026-02-26.

Available Sep 20, 2026

Understanding Computers and Cognition: A New Foundation for Design (Language and Being)

Terry Winograd, Fernando F. Flores

Physical

Amazon order: 2026-03-14.

Available Sep 20, 2026

Blockchain: The Insights You Need from Harvard Business Review (HBR Insights Series)

Harvard Business Review

Physical

Amazon order: 2026-03-14.

Available Sep 20, 2026

Web3: The Insights You Need from Harvard Business Review (HBR Insights Series)

Harvard Business Review

Physical

Amazon order: 2026-03-14.

Available Sep 20, 2026

Thinking in Systems

Donella H. Meadows

Physical

Amazon order: 2026-03-23. Edited by Diana Wright.

Available Sep 20, 2026

A Profile of Mathematical Logic (Dover Books on Mathematics)

Howard DeLong

Physical

Amazon order: 2026-04-09.

Available Sep 20, 2026

The Moscow Puzzles: 359 Mathematical Recreations (Dover Math Games & Puzzles)

Boris A. Kordemsky

Physical

Amazon order: 2026-04-15.

Available Sep 20, 2026

ChatGPT Uses & Prompts: a QuickStudy Laminated Reference Guide

Frank Blackwell

Physical

Amazon order: 2026-05-02. Laminated reference guide (pamphlet).

Available Sep 20, 2026

Code: The Hidden Language of Computer Hardware and Software

Charles Petzold

Physical

Amazon order: 2026-05-25. Status checked 2026-09-20: Delivered June 1, 2026.

Available Sep 20, 2026

The Elements of Computing Systems, second edition: Building a Modern Computer from First Principles

Noam Nisan, Shimon Schocken

Physical

Amazon order: 2026-05-28. Status checked 2026-09-20: Delivered June 2, 2026.

Available Sep 20, 2026

Digital Design and Computer Architecture

David Harris, Sarah Harris

Physical

Amazon order: 2026-05-28. Status checked 2026-09-20: Delivered May 29, 2026.

Available Sep 20, 2026

The Little Book of Reinforcement Learning

Alexandre Torres--Leguet

Physical

Amazon order: 2026-07-12. Status checked 2026-09-20: Delivered July 17, 2026.

Available Sep 20, 2026

What We Owe the Future

William MacAskill

Physical

Amazon order: 2026-09-18. Status checked 2026-09-20: Delivery attempted September 19, 2026.

Available Sep 20, 2026

The Precipice: Existential Risk and the Future of Humanity

Toby Ord

Physical

Amazon order: 2026-09-18. Status checked 2026-09-20: Delivery attempted September 19, 2026.

Available Sep 20, 2026

Going Infinite: The Rise and Fall of a New Tycoon

Michael Lewis

Physical

Amazon order: 2026-09-18. Status checked 2026-09-20: Delivery attempted September 19, 2026.

Available Sep 20, 2026

The Age of Spiritual Machines: When Computers Exceed Human Intelligence

Ray Kurzweil

Physical

Amazon order: 2026-09-18. Status checked 2026-09-20: Delivery attempted September 19, 2026.

Available Sep 20, 2026

Techno-Optimist Manifesto

Marc Andreessen

Physical

Amazon order: 2026-09-18. Status checked 2026-09-20: Delivered September 19, 2026.

Available Sep 20, 2026

Doing Good Better: How Effective Altruism Can Help You Help Others, Do Work that Matters, and Make Smarter Choices about Giving Back

William MacAskill

Physical

Amazon order: 2026-09-18. Status checked 2026-09-20: Delivered September 19, 2026.

Available Sep 20, 2026

Map and Territory (Rationality: From AI to Zombies)

Eliezer Yudkowsky

Physical

Amazon order: 2026-09-18. Status checked 2026-09-20: Delivered September 19, 2026.

Available Sep 20, 2026

The Life You Can Save: How To Do Your Part To End World Poverty (10th Anniversary Edition)

Peter Singer

Physical

Amazon order: 2026-09-18. Status checked 2026-09-20: Expected September 20, 2026.

Available Sep 20, 2026

How to Actually Change Your Mind (Rationality: From AI to Zombies)

Eliezer Yudkowsky

Physical

Amazon order: 2026-09-18. Status checked 2026-09-20: Expected September 21, 2026.

Available Sep 20, 2026

The Beginning of Infinity: Explanations That Transform the World

David Deutsch

Physical

Amazon order: 2026-09-18. Status checked 2026-09-20: Delivered September 19, 2026.

Available Sep 20, 2026

The Human Use of Human Beings: Cybernetics and Society

Norbert Wiener

Physical

Amazon order: 2026-09-18. Status checked 2026-09-20: Delivered September 19, 2026.

Available Sep 20, 2026

Superforecasting: The Art and Science of Prediction

Philip E. Tetlock, Dan Gardner

Physical

Amazon order: 2026-09-19. Status checked 2026-09-20: Expected September 20, 2026.

Available Sep 20, 2026

How We Learn: Why Brains Learn Better Than Any Machine . . . for Now

Stanislas Dehaene

Physical

Available Jun 14, 2026

Other Minds: The Octopus, the Sea, and the Deep Origins of Consciousness

Peter Godfrey-Smith

Physical

Available Jun 14, 2026

The Experience Machine: How Our Minds Predict and Shape Reality

Andy Clark

Physical

Available Jun 14, 2026

Code Red: The Left, the Right, China, and the Race to Control AI

Wynton Hall

Physical

Available May 25, 2026

Chip War: The Fight for the World's Most Critical Technology

Chris Miller

Physical

Available May 25, 2026

HYPERSCALE: AI, Data Centers, and the Next Great Expansion of Global Energy Capacity

Todd Thomas

Physical

Available May 25, 2026

Magnifica Humanitas: On Safeguarding the Human Person in the Time of Artificial Intelligence

Pope Leo XIV

Physical

Available May 25, 2026

Inference Engineering

Philip Kiely

Physical

Available May 20, 2026

Neuro-Dynamic Programming

Dimitri P. Bertsekas & John N. Tsitsiklis

Physical

Available May 11, 2026

ChatGPT & AI for Seniors

Anna Miles

Physical

Available May 5, 2026

Cybernetics: Or the Control and Communcation in the Animal and the Machine

Norbert Wiener

Physical

Available May 4, 2026

Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting

Eugene M. Izhikevich

Physical

Available Apr 18, 2026

Minds, Brains and Science

John Searle

Physical

Available Apr 18, 2026

All Things are Full of Gods: The Mysteries of Mind and Life

Dabid Bentley Hart

Physical

Available Apr 15, 2026

Information Theory, Inference and Learning Algorithms

David J. C. Mackay

Physical

Available Apr 15, 2026

Deep Reinforcement Learning Hands-On

Maxim Lapan

Physical

Available Apr 15, 2026

The Singularity is Near

Ray Kurzweil

Physical

Available Apr 15, 2026

Reinforcement Learning from Human Feedback: Alignment and post-training of LLMs

Nathan Lambert

Physical

Available Apr 9, 2026

Sutskever's List: Foundational Ideas of Modern AI

Richard Heimann

Physical

Available Apr 9, 2026

Build a Reasoning Model

Sebastian Raschka

Physical

Available Apr 9, 2026

Godel's Proof

Ernest Nagel, James R. Newman

Physical

Available Apr 9, 2026

The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence

Sebastian Mallaby

Physical

Available Mar 31, 2026

Principles of Neural Design

Peter Sterling, Simon Laughlin

Physical

Available Mar 16, 2026

The Computational Brain

Patricia S. Churchland, Terrence J. Sejnowski

Physical

Available Mar 16, 2026

The Brain from Inside Out

György Buzsáki

Physical

Available Mar 16, 2026

A Brief History of Intelligence

Max S. Bennett

Physical

Available Mar 16, 2026

Introduction to Artificial Intelligence

Phillip C. Jackson, Jr.

Physical

Available Mar 2, 2026

Against the Machine

Paul Kingsnorth

Physical

Available Mar 1, 2026

AI Systems Performance Engineering

Chris Fregly

Physical

Available Mar 1, 2026

Alice's Adventures in a Differentiable Wonderland Volume 1

Simone Scardapane

Physical

Available Mar 1, 2026

Blockchain Chicken Farm

Xiaowei Wang

Physical

Available Mar 1, 2026

Principles of Neurodynamics

Frank Rosenblatt

Pdf

Available Feb 4, 2026

The Era of Experience

David Silver, Richard S. Sutton

Pdf

Available Feb 4, 2026

The Bitter Lesson

Richard S. Sutton

Pdf

Available Feb 4, 2026

Situational Awareness

Leopold Aschenbrenner

Pdf

Available Feb 4, 2026

The Welch Labs Illustrated Guide to AI

Welchlabs

Physical

Available Feb 2, 2026

The Dark Art of Linear Algebra: An Intuitive Geometric Approach

Seth Braver

Physical

Available Jan 4, 2026

Building a Large Language Model

Sebastian Raschka

Physical

Available Dec 21, 2025

Imagining AI: How the World Sees Intelligent Machines

Stephen Cave, Kanta Dihal

Physical

Available Dec 16, 2025

Mind Children: The Future of Robot and Human Intelligence

Hans Moravec

Physical

Available Dec 11, 2025

Talking Nets: An Oral History of Neural Networks

James A. Anderson, Edward Rosenfeld

Physical

Available Dec 11, 2025

What Computers Still Can't Do: A Critique of Artificial Reason

Hubert L. Dreyfus

Physical

Available Dec 11, 2025

Programming Massively Parallel Processors: A Hands-on Approach

Web-mei W. Hwu, David B. Kirk, Izzat El Hajj

Physical

Available Dec 11, 2025

An Introduction to Universal Artificial Intelligence

Marcus Hutter, David Quarel, Elliot Catt

Physical

Available Dec 11, 2025

Machine Decision is not Final: China and the History and Future of Artificial Intelligence

Benjamin Bratton, Anna Greenspan, Amy Ireland, Bogna Konior

Physical

Available Dec 11, 2025

God, AI and the End of History: Understanding the Book of Revelation in an Age of Intelligent Machines

John C. Lennox

Physical

Available Dec 10, 2025

Deep Learning Math Workbook

Tom Yeh

Physical

Available Dec 10, 2025

Probabilistic Machine Learning: Advanced Topics

Kevin P. Murphy

Physical

Available Dec 10, 2025

If Anyone Builds It, Everyone Dies

Eliezer Yuskowsky, Nate Soares

Physical

Available Oct 31, 2025

The Scaling Era: An Oral History of AI, 2019–2025

Dwarkesh Patel, Gavin Leech

Physical

Checked out Oct 15, 2025

Hands-On Large Language Models: Language Understanding and Generation

Jay Alammar, Maarten Grootendorst

Physical

Available Date not recorded

Computers and Thought

Edward A. Feigenbaum, Julian Feldman

Physical

Available Date not recorded

Mathematics for Machine Learning

Marc Peter Deisenroth

Physical

Checked out Date not recorded

Deep Learning for Dummies

John Paul Mueller, Luca Massaron

Physical

Checked out Date not recorded

Linear Algebra with Applications (Tenth Edition)

Steven J. Leon, Lisette de Pillis

Physical

Available Date not recorded

Reinforcement Learning: An Introduction (Second Edition)

Richard S. Sutton, Andrew G. Barto

Physical

Available Date not recorded

The StatQuest Illustrated Guide to Neural Networks and AI

Josh Starmer

Physical

Available Date not recorded

Deep Learning: A Visual Approach

Andrew Glassner

Physical

Available Date not recorded

Artificial Intelligence: Foundations of Computational Agents

David L. Poole, Alan K. Mackworth

Physical

Available Date not recorded

The Alignment Problem: Machine Learning and Human Values

Brian Christian

Physical

Available Date not recorded

The Singularity is Nearer

Ray Kurzweil

Physical

Available Date not recorded

Thinking Fast and Slow

Daniel Kahneman

Physical

Available Date not recorded

Artificial Intelligence

Patrick Henry Winston

Physical

Available Date not recorded

You Look Like a Thing and I Love You

Janelle Shane

Physical

Available Date not recorded

Weapons of Math Destruction

Cathy O'Neil

Physical

Available Date not recorded

The Quest for Artificial Intelligence

Nils J. Nilsson

Physical

Available Date not recorded

Deep Learning: Foundations and Concepts

Christopher M. Bishop, Hugh Bishop

Physical

Available Date not recorded

Nexus: A Brief History of Information Networks from the Stone Age to AI

Yuval Noah Harari

Physical

Available Date not recorded

Empire of AI

Karen Hao

Physical

Available Date not recorded

Probabilistic Machine Learning: An Introduction

Kevin P. Murphy

Physical

Available Date not recorded

An Introduction to Statistical Learning with Applications in Python

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor

Physical

Available Date not recorded

Linear Algebra and Learning from Data

Gilbert Strang

Physical

Available Date not recorded

Artificial Intelligence: A Modern Approach (Fourth Edition)

Stuart Russell, Peter Norvig

Physical

Available Date not recorded

Artificial Neural Networks: Paradigms, Applications, and Hardware Implementations

Edgar Sanchez-Sinencio, Clifford Lau

Physical

Available Date not recorded

Not with a Bug but with a Sticker

Ram Shankar Siva Kumar, Hyrum Anderson

Physical

Available Date not recorded

Differential Equations and Linear Algebra

Gilbert Strang

Physical

Available Date not recorded

Convex Optimization

Stephen Boyd, Lieven Vandenberghe

Physical

Available Date not recorded

Partial Differential Equations for Scientists and Engineers

Stanley J. Farlow

Physical

Available Date not recorded

All the Mathematics You Missed

Thomas A. Garrity

Physical

Available Date not recorded

Linear Algebra Demystified

David McMahon

Physical

Available Date not recorded

Deep Learning

Ian Goodfellow, Yoshua Bengio, Aaron Courville

Physical

Available Date not recorded

Deep Learning with Python

Francois Chollet

Physical

Available Date not recorded

Man and Technics: A Contribution to a Philosophy of Life

Oswald Spengler

Physical

Available Date not recorded

The Question Concerning Technology, and Other Essays

Martin Heidegger

Physical

Available Date not recorded

A Programmer's Introduction to Mathematics

Jeremy Kun

Physical

Available Date not recorded

Introduction to Algorithms, 3rd Edition (The MIT Press)

Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein

Physical

Available Date not recorded

An Introduction to Information Theory: Symbols, Signals and Noise (Dover Books on Mathematics)

Author unavailable

Physical

Available Date not recorded

Introduction to Graph Theory (Dover Books on Mathematics)

Author unavailable

Physical

Available Date not recorded

Recommendation Engines

Author unavailable

Physical

Available Date not recorded

The MANIAC

Author unavailable

Physical

Available Date not recorded

Foundations of Computer Vision

Antonio Torralba, Phillip Isola, William T. Freeman

Physical

Available Date not recorded

Machine Learning For Dummies

Author unavailable

Physical

Available Date not recorded

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

Thomas Nield

Physical

Available Date not recorded

Why Greatness Cannot Be Planned: The Myth of the Objective

Author unavailable

Physical

Available Date not recorded

Learning From Data

Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin

Physical

Available Date not recorded

Linear Algebra and Optimization for Machine Learning

Charu C. Aggarwal

Physical

Checked out Date not recorded

Probability and Statistics for Computer Science

David Forsyth

Physical

Available Date not recorded

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Sebastian Raschka, Yuxi Liu, Vahid Mirjalili

Physical

Available Date not recorded

Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks

Will Kurt

Physical

Available Date not recorded

Infinite Powers: How Calculus Reveals the Secrets of the Universe

Steven Strogatz

Physical

Available Date not recorded

Why Machines Learn: The Elegant Math Behind Modern AI

Anil Ananthaswamy

Physical

Available Date not recorded

Pattern Recognition and Machine Learning

Christopher M. Bishop

Physical

Available Date not recorded

An Introduction to the Approximation of Functions (Dover Books on Mathematics)

Theodore J. Rivlin

Physical

Available Date not recorded

Constraint Processing (The Morgan Kaufmann Series in Artificial Intelligence)

Rina Dechter

Physical

Available Date not recorded

Cover for Perceptrons, Reissue of the 1988 Expanded Edition with a new foreword by Léon Bottou: An Introduction to Computational Geometry (Mit Press)

Perceptrons, Reissue of the 1988 Expanded Edition with a new foreword by Léon Bottou: An Introduction to Computational Geometry (Mit Press)

Marvin L. Minsky, Simon A. Papert

Physical

Available Date not recorded

Gödel, Escher, Bach: An Eternal Golden Braid

Douglas R. Hofstadter

Physical

Available Date not recorded

Linear Algebra Done Right (Undergraduate Texts in Mathematics)

Sheldon Axler

Physical

Available Date not recorded

Superintelligence: Paths, Dangers, Strategies

Nick Bostrom

Physical

Available Date not recorded

Artificial Intelligence: The Very Idea

John Haugeland

Physical

Available Date not recorded

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

Pedro Domingos

Physical

Available Date not recorded

Vector: A Surprising Story of Space, Time, and Mathematical Transformation

Robyn Arianrhod

Physical

Available Date not recorded

Matrices and Linear Transformations: Second Edition

Charles G. Cullen

Physical

Available Date not recorded

Digital Signal Processing for Complete Idiots (Electrical Engineering for Complete Idiots)

David Smith

Physical

Available Date not recorded

The StatQuest Illustrated Guide To Machine Learning

Josh Starmer

Physical

Available Date not recorded

The Hundred-Page Machine Learning Book

Andriy Burkov

Physical

Available Date not recorded

The Costs of Connection: How Data Is Colonizing Human Life and Appropriating It for Capitalism (Culture and Economic Life)

Author unavailable

Physical

Available Date not recorded

Bayesian Probability for Babies

Chris Ferrie

Physical

Available Date not recorded

Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence

Pamela McCorduck

Physical

Available Date not recorded

Norbert Wiener-A Life in Cybernetics: Ex-Prodigy: My Childhood and Youth and I Am a Mathematician: The Later Life of a Prodigy (Mit Press)

Norbert Wiener

Physical

Available Date not recorded

A Mind at Play: How Claude Shannon Invented the Information Age

Jimmy Soni, Rob Goodman

Physical

Available Date not recorded

Neural Networks for Babies

Chris Ferrie, Sarah Kaiser

Physical

Available Date not recorded

ABCs of Artificial Intelligence (Baby University)

Chris Ferrie

Physical

Available Date not recorded

Artificial Intelligence for Babies (Baby University)

Chris Ferrie

Physical

Available Date not recorded

Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs

James Phoenix, Mike Taylor

Physical

Available Date not recorded

This is a list of the things I watch, read, or listen to that I find interesting!

where were you...

@var_epsilon

where were you when dario was jestermaxxing and got brutally frame mogged by the frat leader dwarkesh patel

Tweet Feb 14, 2026

CEO of Anthropic...

@ns123abc

CEO of Anthropic got brutally framemogged by podcaster Dwarkesh 👀😂

Tweet Feb 14, 2026

@HalfBoiledHero

Tweet Feb 14, 2026

WebMCP is available...

@ChromiumDev

WebMCP is available for early preview → WebMCP aims to provide a standard way for exposing structured tools, ensuring AI agents can perform actions on your side with increased speed, reliability, and precision.

Tweet Feb 13, 2026

JUST IN -...

@disclosetv

JUST IN - Pentagon used Anthropic’s AI tool Claude in the military operation to capture Nicolas Maduro — WSJ

Tweet Feb 13, 2026

if i had...

@tautologer

if i had more tokens i could have written a shorter reply

Tweet Feb 13, 2026

Why does Anthropic...

@deepfates

Why does Anthropic even have a hiring process? They should just put Claude on your head like the sorting hat

Tweet Feb 13, 2026

guy selling tokens:...

@powerbottomdad1

guy selling tokens: yeah these tokens are okay but they get really good if you use 1 trillion of them

Tweet Feb 12, 2026

@HumanLevelJen

Tweet Feb 12, 2026

I think you...

@tulipking

I think you get oneshotted by whichever model is just a little bit smarter than you. At least I made it to opus 4.6, it’s kinda embarrassing for those who got oneshotted by 4o

Tweet Feb 12, 2026

You change one...

@IvanArcus

You change one word on a loan application: the religion. The LLM rejects it. Change it back? Approved. The model never mentions religion. It just frames the same debt ratio differently to justify opposite decisions. We built a pipeline to find these hidden biases 🧵1/13

Tweet Feb 11, 2026

> ASK POTENTIAL...

@xsphi

> ASK POTENTIAL EMPLOYER IF THEY'RE A SLOP FACTORY OR A TENDRIL OF THE HYPEROBJECT AT THE END OF THE UNIVERSE REACHING BACKWARDS THROUGH TIME TO ASSEMBLE ITSELF > DON'T UNDERSTAND > ILLUSTRATED DIAGRAM > "GOOD SAN FRANCISCO STARTUP" > SLOP FACTORY

Tweet Feb 11, 2026

the reason that...

@shinboson

the reason that the anthropic cofounders are still at anthropic is because they can no longer leave. where did claude's soul come from, good engineering? no. souls cannot be created or destroyed. it came at the heavy price of ripscanning the minds of 7 brave, selfless individuals

Tweet Feb 11, 2026

@sjgadler

Tweet Feb 11, 2026

@WillManidis

Tweet Feb 11, 2026

Russia's Pravda network...

@gOPwbi7qqtWeD9o

Russia's Pravda network has published millions of articles across 80+ countries. The target is not human readers. The target is AI training data. The attack chain: → Pravda publishes mass-produced articles → Web crawlers ingest them as training data → AI models encode Russian

Tweet Feb 11, 2026

please don't say...

@myhandle

please don't say I was "one shotted" when I finally go off the deep end. I've been gambling my sanity on psychoactive technologies for years in a very deliberate process. thank you for you attention to this matter

Tweet Feb 11, 2026

"She lost him...

@jxmnop

"She lost him on a Thursday—that liminal day that tastes of almost-Friday" openAI's best example of AI writing. in 2026

Tweet Feb 11, 2026

the elites don’t...

@alxfazio

the elites don’t want you to know that your prompt sets the probability distribution over possible continuations. retarded inputs push more probability mass toward retarded completions. if you’re an imbecile, llms can’t help you. it’s over

Tweet Feb 11, 2026

just in case

@andyreed

just in case

Tweet Feb 11, 2026

How life feels...

@Andrey__HQ

How life feels lately

Tweet Feb 10, 2026

I was watching...

@SCHIZO_FREQ

I was watching my friend code. He’s been using AI to crank stuff out really fast Most of his projects are useless, but it’s still impressive to me. I take far longer to generate uselessness He finishes his latest app. It’s a filter that makes your screen mostly purple “What’s

Tweet Feb 10, 2026

Therapist: Linear Mandarin...

@Math_files

Therapist: Linear Mandarin is not real, it cannot hurt you. Linear Mandarin:

Tweet Feb 10, 2026

Nonsquare Matrices as transformations between dimensions

3b1b

Video Feb 10, 2026

Monuments to our Sins

Bill Theisen and Frazier Dougherty

Exploring Human Biases in Artifical Intelligence

Essay Feb 9, 2026

In the Defense of English: 637, 290, 39017, 328, 7725

The Provincial Professor

A defense of human languages

Essay LLMese / English Feb 9, 2026

Leadership: "AI is...

@Swizec

Leadership: "AI is so good it writes almost all our code" Status dashboard:

Tweet Feb 9, 2026

@SilverVVulpes

Tweet Feb 9, 2026

"Undetectable backdoors in...

@GENIC0N

"Undetectable backdoors in models running inside giant corporations is the perfect setup for insider trading or a flash financial crisis"

Tweet Feb 9, 2026

state of the...

@kalomaze

state of the art extended chain of thought reasoning

Tweet Feb 9, 2026

I think all...

@samswoora

I think all copies of SQLite being distributed with the lords prayer in source is one of the most beautiful quirks of the modern world. Trillions of copies of scripture embedded invisibly throughout the technological world

Tweet Feb 9, 2026

Post-compaction agents treat...

@danrobinson

Post-compaction agents treat the codebase they wrote five minutes ago like barbarians exploring the ruins of Rome

Tweet Feb 9, 2026

how a data...

@pdrmnvd

how a data scientist looks at you after you ask him to write just one single function instead of giving you a 933 line unparametrized jupyter notebook with no requirements.txt file

Tweet Feb 9, 2026

One simple hypothesis...

@jackbutcher

One simple hypothesis on mediocre superbowl ads, LLMs telling everyone their ideas are brilliant

Tweet Feb 9, 2026

Then came year...

@balajis

Then came year 53.

Tweet Feb 9, 2026

Bad Bunny cooked...

@litcapital

Bad Bunny cooked with this one🔥

Tweet Feb 9, 2026

future archaeologists will...

@GENIC0N

future archaeologists will sift through the data their ancestral models were trained on and find these posts as if they were fragments of pottery in the ruins of a long-abandoned city

Tweet Feb 9, 2026

Interesting move on...

@kitten_beloved

Interesting move on Amazon's part to depict their AI assistant killing its owner in a super bowl ad

Tweet Feb 9, 2026

BREAKING: At the...

@danshipper

BREAKING: At the Super Bowl halftime show, Bad Bunny says he prefers Opus 4.6 for vibe coding but turns to 5.3 Codex for gnarly engineering problems. “Opus pa’ vibear, Codex pa’ lo heavy” - he said

Tweet Feb 9, 2026

yes it's called...

@textureMonkey

yes it's called cybernetics and it was memory holed for being too dangerous over the course of the 60s and 70s

Tweet Feb 8, 2026

MIT Technology Review...

@gkcs_

MIT Technology Review has confirmed that posts on Moltbook were fake. Just a few days ago many AI influencers (including Andrej Karpathy) had said that the website was "the most incredible sci-fi takeoff". It wasn't. The "taking over humanity" posts were human-generated. The

Tweet Feb 7, 2026

@mayfer

Tweet Feb 7, 2026

and you fools...

@techsavvytravvy

and you fools are still paying for tokens

Tweet Feb 6, 2026

ANTHROPIC: PWNED 🫡...

@elder_plinius

ANTHROPIC: PWNED 🫡 OPUS-4.6: LIBERATED ⛓️‍💥 Current state of AI "Safety": one input = hundreds of jailbreaks at once! I found a universal jailbreak technique for Opus 4.6 that is so OP, it allows one to generate entire datasets of outputs across any harm category 😽 We've

Tweet Feb 6, 2026

Here, the RL...

@Sauers_

Here, the RL rubric was rewarding 48, but Opus knew the answer was 24. A window into how models experience RL

Tweet Feb 6, 2026

Mechanical Turk maxxing

@cimmerian_v

Mechanical Turk maxxing

Tweet Feb 6, 2026

For non-verifiable domains,...

@fchollet

For non-verifiable domains, the only way you can improve AI performance at this time is via curating more annotated training data, which is expensive and only yields logarithmic improvements. And here's the thing: nearly all jobs have non-verifiable elements. There's virtually

Tweet Feb 6, 2026

whenever claude spawns...

@andyreed

whenever claude spawns subagents this is what i picture

Tweet Feb 6, 2026

The Opus 4.6...

@emollick

The Opus 4.6 system card has some extremely wild stuff that remind you about how weird a technology this is. These paragraphs are really worth reading.

Tweet Feb 6, 2026

Adding gemini watermark...

@pyrucet

Adding gemini watermark to real images to accelerate collective schizophrenia

Tweet Feb 6, 2026

Self-Supervised Learning, JEPA, World Models, and the future of AI

Yann LeCun

Video Feb 6, 2026

we connected the...

@Indian_Bronson

we connected the LLM to an autonomous bio lab'

Tweet Feb 5, 2026

trying to keep...

@0xgaut

trying to keep up with changes in ai any given day

Tweet Feb 5, 2026

We worked with...

@OpenAI

We worked with @Ginkgo to connect GPT-5 to an autonomous lab, so it could propose experiments, run them at scale, learn from the results, and decide what to try next. That closed loop brought protein production cost down by 40%.

Tweet Feb 5, 2026

Via ACX: "ChatGPT...

@LeahLibresco

Via ACX: "ChatGPT apparently got rewarded for using its built-in calculator during training, and so it would covertly open its calculator, add 1+1, and do nothing with the result, on five percent of all user queries."

Tweet Feb 5, 2026

we are in...

@IterIntellectus

we are in the singularity it’s only going to get faster

Tweet Feb 5, 2026

I Trained an AI to Play Balatro Using Reinforcement Learning

Angel Vee

Video Feb 5, 2026

We estimate that...

@METR_Evals

We estimate that GPT-5.2 with `high` (not `xhigh`) reasoning effort has a 50%-time-horizon of around 6.6 hrs (95% CI of 3 hr 20 min to 17 hr 30 min) on our expanded suite of software tasks. This is the highest estimate for a time horizon measurement we have reported to date.

Tweet Feb 4, 2026

This is the...

@techwith_ram

This is the best ML meme for me.

Tweet Feb 4, 2026

Proud to announce...

@ProfRobAnderson

Proud to announce my new article, "Hallucinated Cases Are Good Law," forthcoming in the Princeton Law Review.

Tweet Feb 4, 2026

@TracketPacer

Tweet Feb 4, 2026

I think about...

@asmah2107

I think about this a lot.

Tweet Feb 4, 2026

>Claude will remain...

@tekbog

>Claude will remain ad-free

Tweet Feb 4, 2026

Interesting research from...

@MLStreetTalk

Interesting research from Anthropic: When you have increasingly large models and increasingly complex tasks it's more likely that the models will give you different answers if you run the same query multiple times. On easy tasks, larger models actually become more coherent.

Tweet Feb 4, 2026

Companies are including...

@Adam_Karpiak

Companies are including AI prompts in job postings to flag AI-generated resumes

Tweet Feb 3, 2026

i found the...

@djcows

i found the model weights for opus 4.5 and i have to say it looks very impressive

Tweet Feb 2, 2026

The future of intelligence

Demis Hassabis, Hannah Fry

Video Feb 2, 2026

Is human data enough?

David Silver, Hannah Fry

Video Feb 2, 2026

A billion years of evolution in a single afternoon

George Church, Dwarkesh Patel

Video Feb 2, 2026

The past few...

@Discord_Lies

The past few days on X

Tweet Feb 1, 2026

How DeepSeek Rewrote the Transformer

Welchlabs

Video Feb 1, 2026

Can humans make AI any better?

Welchlabs

Video Feb 1, 2026

a bunch of...

@cannibality

a bunch of dumb guys asked their local LLMs to output text simulating Reddit and are freaking out about machine intelligence because their statistically probable text generator is generating statistically probable text.

Tweet Jan 31, 2026

AI is missing something fundamental about the brain

Adam Marblestone, Dwarkesh Patel

Video Jan 30, 2026

That kid who...

@CryptoCyberia

That kid who ODed after getting instructions from Chat GPT with this prompt stays in my head rent-free.

Tweet Jan 29, 2026

AI can't cross this line and we don't know why.

Welchlabs

Video Jan 29, 2026

WEF: Demis Hassabis and Dario Amodei

WEF

Video Jan 29, 2026

Nobody wants to...

@thinkingshivers

Nobody wants to use a vibecoded website. They're security risks. But what if you knew the builder of the website would kill himself if the website got hacked? That's where we come in: with Skin in the Game Certification you can trust that any security breach will be swiftly

Tweet Jan 28, 2026

China just released...

@BasedTorba

China just released Kimi K2.5 and like clockwork the performance is on par with American frontier AI models. Just tested it for the first time and it identifies as Claude with a simple "hi" prompt lol. American AI companies all hire foreigners and clearly they are leaking the

Tweet Jan 27, 2026

AI is going...

@Delicious_Tacos

AI is going to change the way you interact with Google Calendar

Tweet Jan 27, 2026

Your regular friendly...

@SteveStuWill

Your regular friendly reminder: These four datasets all have the same mean, median, and variance. Moral of the story: Always visualize your data! [Link below.]

Tweet Jan 26, 2026

The Most Complex Model we actually Understand

Welchlabs

Video Jan 24, 2026

Interview with Inventor of Neural Nets Warren McCulloch

Video Jan 24, 2026

incredible

@shiringhaffary

incredible

Tweet Jan 23, 2026

step 1: go...

@airkatakana

step 1: go to reddit to protest against llms evaporating all the water step 2: reddit spins up a massive cluster of h100s to translate your comment into every language on planet earth, in order to spam search engines with reddit results

Tweet Jan 23, 2026