Notes

1534 notes, alphabetical

• #009 The Singular Value Decomposition(SVD) - illustrated in Python - Master Data Science
• $450 and 19 hours is all it takes to rival OpenAI's o1-preview
• $85,000 in tokens later: What I learned from scaling agentic coding at Lovable
• 'A tipping point for higher ed': Google launches new low-cost online programs for high-demand jobs | Fortune Education
• 'Bristol Fashion' MPC Circuits
• 'Chemistry will no longer be an exclusive club': how AI is changing Omar Yaghi's work
• 'Entropy Bagels' and Other Complex Structures Emerge From Simple Rules | Quanta Magazine
• 'Eugenics on steroids': the toxic and contested legacy of Oxford's Future of Humanity Institute
• 'If journalism is going up in smoke, I might as well get high off the fumes': confessions of a chatbot helper
• 'Man I just want a dishwasher job': Why are Olive Garden and FedEx forcing job applicants to endure a strange personality test that turns them into blue avatars?
• 'Nasty' Geometry Breaks Decades-Old Tiling Conjecture | Quanta Magazine
• 'The illusion of thinking': Apple research finds AI models collapse and give up with hard puzzles
• 'Utterly irresponsible': SVB failure was caused by a banking — not tech — crisis, top VC says
• 10 things I learned from burning myself out with AI coding agents
• 100 Years of Computer Science
• 101 Numpy Exercises for Data Analysis
• 12,000-year-old flutes carved of bone are some of the oldest in the world and sound like birds of prey
• 160k+ high school students will only graduate if a statistical model allows them to
• 17 Stunning & Modern UNIX Tools
• 18 SHAP
• 2. Working with Data
• 2.7. Mathematical optimization: finding minima of functions
• 2021 NIST manufacturing Results Announced — Open Robotics
• 21st-Century Analytics: New Technologies and New Rules
• 25-year-old turned down Yale for a state school in 2017—now she makes $90,000 a year and has 'no regrets'
• 25.3. unittest — Unit testing framework
• 255
• 27 AI models were ranked by the public and ChatGPT came 8th — these are the models that beat it
• 30 Python Language Features and Tricks You May Not Know About
• 35 Best Resources To Learn Machine Learning
• 3D-Printed Self-Balancing Robot Brings Control Theory To Life
• 5 Documentaries Every Photographer and Creative Should Watch | Fstoppers
• 5 Most Popular Agentic AI Design Patterns Every AI Engineer Should Know
• 5 Tactics to Combat a Culture of False Urgency at Work
• 6 people who made up to $500,000 a year secretly working multiple remote jobs
• 6 Tricks I Learned From The OTTO Kaggle Challenge
• 7 Command-Line Tools for Data Science | Jeroen Janssens
• 8 Google Employees Invented Modern AI. Here's the Inside Story
• [99] Hyping Fisher: The Most Cited 2019 QJE Paper Relied on an Outdated Stata Default to Conclude Regression p-values Are Inadequate
• A 'Rebel' Without a Ph.D. | Quanta Magazine
• A brief history of diffusion, the tech at the heart of modern image-generating AI | TechCrunch
• A Brief Overview of Attention Mechanism
• A cartel of influential datasets are dominating machine learning research
• A Coder Considers the Waning Days of the Craft
• A Complete Breakdown of the Claude Mythos 1 Leak and Features
• A Deep Dive Into MCP and the Future of AI Tooling
• A detailed example of how to generate your data in parallel with PyTorch Star
• A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
• A former Google researcher behind a seminal AI paper describes how the company lost a top chatbot visionary
• A Game Designer's Analysis Of QAnon
• A Google researcher – who said she was fired after pointing out biases in AI – says companies won't 'self-regulate' because of the AI 'gold rush'
• A Machine Learning Engineer's Guide To The AI Act
• A modern introduction to probability and statistics [book review]
• A New Agenda for Low-Dimensional Topology | Quanta Magazine
• A New AI Research Introduces EXPHORMER: A Framework For Scaling Graph Transformers While Slashing Costs
• A New Algorithm Makes It Faster to Find the Shortest Paths
• A New Computer Proof 'Blows Up' Centuries-Old Fluid Equations
• A New Link to an Old Model Could Crack the Mystery of Deep Learning | Quanta Magazine
• A new optimization framework for robot motion planning
• A New Study by Google and DeepMind Introduces Geometric Complexity (GC) for Neural Network Analysis and Understanding of Deep Learning Models
• A new way to evaluate the impact of medical research
• A Nixon Deepfake, a 'Moon Disaster' Speech and an Information Ecosystem at Risk
• A Note From Ray Kurzweil on the Recent Call to Pause Work on AI More Powerful Than GPT-4
• A Powerful New 'QR Code' Untangles Math's Knottiest Knots | Quanta Magazine
• A Primer on Bayesian Methods for Multilevel Modeling
• A primer on molecular dynamics
• A Quiet Maine Island With a Billion-Year-Old Secret
• A rough guide to the Aldous-Hoover representation theorem for exchangeable arrays
• A Short Chronology Of Deep Learning For Tabular Data
• A Simple Neural Network - With Numpy in Python
• A Single Atom Has Achieved a Breakthrough in Quantum Simulation
• A Step-by-Step Guide to the Microsoft News Recommendation Competition | Towards Data Science
• A string of unexpected lengths - Blog - Recurse Center
• A successful Git branching model
• A Survey of Causal Inference Applications at Netflix
• A ten-minute introduction to sequence-to-sequence learning in Keras
• A tmux Crash Course
• A tmux Crash Course
• A Tour of Machine Learning Algorithms - MachineLearningMastery.com
• A Triplet Tree Forms One of the Most Beautiful Structures in Math | Quanta Magazine
• A Very Short Introduction to Diffusion Models
• A visual explanation of Simpson's Paradox
• A Wave Of Billion-Dollar Language AI Startups Is Coming
• About
• About
• About PyCon
• Academic Torrents
• Accenture CTO says 'there will be some consolidation' of jobs but 'the biggest worry is of the jobs for people who won't be using generative AI' | Fortune
• ACM FAccT
• Actor–network theory - Wikipedia
• Adam Drake — Command Line Tools 235x Faster Than Hadoop
• Adam Drake — Command-line Tools can be 235x Faster than your Hadoop Cluster
• adaptive backgrounds
• Addressing cold start with dataset transfer in e-commerce learning to rank
• Adoptium
• Advance AI with Open Source | Anaconda
• Against Algebra
• Agent, Know Thyself! (and bid accordingly)
• Agent-Driven Development in Cursor: Testing, Benchmarking, and Optimizing Functions
• Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
• Agentic Design Patterns
• Agile development is fading in popularity at large enterprises - and developer burnout is a key factor
• Agreement on Transparency and Researcher Access, But Will It Matter?
• Aho/Ullman Foundations of Computer Science
• AI #171: False Flag
• AI #172: The First Fable
• AI #173: AI Pauses
• AI #174: You're It
• AI #175: The Fable Continues
• AI 100: The most promising artificial intelligence startups of 2022 - CB Insights Research
• AI 2027
• AI 50 2021: America's Most Promising Artificial Intelligence Companies
• AI 50 2025: AI Agents Move Beyond Chat
• AI agent designs a complete RISC-V CPU from a 219-word spec sheet in just 12 hours
• AI Agents Are Now Trading IP Rights With Each Other—And Earning Crypto for Their Owners - Decrypt
• AI Agents for the Enterprise | StackAI
• AI Agents Landscape & Ecosystem (July 2026): Complete Interactive Map
• AI can now model and design the genetic code for all domains of life with Evo 2 | Arc Institute
• AI Comes Up With Bizarre Physics Experiments. But They Work. | Quanta Magazine
• AI critic Gary Marcus: Meta's LeCun is finally coming around to the things I said years ago
• AI Debate 2: Night of a thousand AI scholars
• AI Designs Computer Chips We Can't Understand — But They Work Really Well
• AI Designs Computer Chips We Can't Understand — But They Work Really Well
• AI Drew This Gorgeous Comics Series. You'd Never Know It
• AI Ethics And AI Law Fretting Over Worker Burnout In The Ardent Pursuit Of Responsible AI
• AI fears overblown? Theoretical physicist calls chatbots 'glorified tape recorders' | CNN Business
• AI for American-Produced Cement and Concrete
• AI hype is built on high test scores. Those tests are flawed.
• AI Index
• AI Is a Waste of Time
• AI is already linked to layoffs in the industry that created it | CNN Business
• AI is going to eliminate way more jobs than anyone realizes
• AI pair programming in your terminal
• AI Paygrades
• AI Policy Tracker
• AI Product Management 2 Years In - Silicon Valley Product Group
• AI Prompt Engineering Is Dead
• AI Sentience, Agency and Catastrophic Risk | TWIML - The Voice of Machine Learning & AI
• AI Virtues As Missing Bedrock Ingredient For Responsible AI Says AI Ethics And AI Law
• AI's Strange Chip Designs Are Faster, Smarter, and Game-Changing
• AI-Generated George Carlin Drops Comedy Special That Daughter Speaks Out Against
• AIF360/aif360/algorithms/inprocessing/adversarial_debiasing.py at main · Trusted-AI/AIF360
• AIF360/aif360/algorithms/inprocessing/adversarial_debiasing.py at main · Trusted-AI/AIF360
• Air Canada must honor refund policy invented by airline's chatbot
• Algorithm precisely quantifies flow of information in complex networks
• Algorithm predicts crime a week in advance, but reveals bias in police response
• Algorithm X in 30 lines!
• Algorithmic Dictatorship
• Algorithmic Justice League - Unmasking AI harms and biases
• Algorithms Illuminated Omnibus Edition (September 2022)
• All You Need to Know to Build a Product Knowledge Graph (KDD 2021 Tutorial)
• Allen Tran
• AlphaGeometry: An Olympiad-level AI system for geometry
• Altera CEO Sees 'Huge Opportunity' To 'Grab Share' From AMD After Intel-Silver Lake Sale
• Amazon warns employees not to share confidential information with ChatGPT after seeing cases where its answer 'closely matches existing material' from inside the company
• AMD CEO Lisa Su on AI and Nvidia: "I'm not a believer in moats
• AMD Radeon RX 7800 XT Desktop graphics card review: More affordable GeForce RTX 4070 performance
• AMD Researchers Introduce Agent Laboratory: An Autonomous LLM-based Framework Capable of Completing the Entire Research Process
• American Government Takes Down Claude Fable
• AMP 97.1 FM making a 'Morning Mess' by airing LA version of Arizona show
• AMR R Package — Function Reference Index
• An Applied Mathematician Strengthens AI With Pure Math | Quanta Magazine
• An e-commerce CEO is getting absolutely roasted online for laying off 90% of his support staff after an AI chatbot outperformed them
• An Honest Review of Google Antigravity
• An Idea From Physics Helps AI See in Higher Dimensions | Quanta Magazine
• An Introduction to Building Custom Reinforcement Learning Environments Using OpenAI Gym
• An Intuitive Guide to Linear Algebra
• An Old-Fashioned Economic Tool Can Tame Pricing Algorithms
• An Opinionated Guide to ML Research
• Analyzing Documents with TF-IDF
• Angelina Jolie Was Right About Computers
• Anomaly Detection of Time Series Data
• Anti-Patterns in Python Programming
• Antigravity 3 Hands-On with Security Mode: Turbo, Auto, Off, Plus New Skills
• Applying the Analytic Hierarchy Process for Tech Decisions
• Archie Markup Language (ArchieML)
• Architecting a Machine Learning System for Risk
• Architecting efficient context-aware multi-agent framework for production
• Architecture Patterns with Python
• Archived Problems
• Arithmetic has a biological origin – it's an expression in symbols of the 'deep structure' of our perception
• Arrow's impossibility theorem - Wikipedia
• Artificial General Intelligence Is Already Here | NOEMA
• Artificial Intelligence and the Future of Humans
• Artificial Intelligence Is Misreading Human Emotion
• Artificial Intelligence — The Revolution Hasn't Happened Yet
• Artists Can Fight Back Against AI by Killing Art Generators From the Inside
• Arup lost $25mn in Hong Kong deepfake video conference scam
• As a startup founder, you really need to understand how venture capital works | TechCrunch
• At TED AI 2023, experts debate whether we've created "the new electricity
• Attention in Neural Networks | Towards Data Science
• AudioPen is a great web app for converting your voice into text notes | TechCrunch
• Automatic Differentiation: The most criminally underused tool in the potential machine learning toolbox?
• Avi Chawla (@_avichawla) on X
• awesome-nanobanana-pro — curated Nano Banana Pro prompts and examples
• AWS Compensation Explained
• AWS Educate - Cloud Skills for Education- AWS
• BAAI/bge-reranker-base · Hugging Face
• baby steps
• Banjo Physics 411 AND Resonator Guitar Physics 412
• Barber paradox - Wikipedia
• Basic Data Plotting with Matplotlib Part 3: Histograms
• Basic Linear Algebra for Deep Learning and Machine Learning Python Tutorial
• Basic UNIX commands
• Battlefield medicine has come a long way. But that progress could be lost
• Bayes' Rule Goes Quantum: A 250-Year-Old Theory Learns New Tricks
• BearID: Face recognition for brown bears - Raspberry Pi
• Before You Vibe Code, Let Claude Code Interview You
• Berkson's paradox - Wikipedia
• Beta distribution - Wikipedia
• Beyond automatic differentiation
• Beyond Code Autocomplete
• Beyond Coding: Your Accountability Buddy with Claude Code Skill
• Beyond the Basic Stuff with Python
• Bias and Variance
• Bias in Criminal Risk Scores Is Mathematically Inevitable, Researchers Say
• Big Tech's guide to talking about AI ethics
• Billionaires including Eric Schmidt plow $300 million into a non-profit that is France's latest push to catch up in AI | Fortune
• Bit Twiddling Hacks
• Bit Twiddling Hacks
• Black beauty products kept locked up at some Walmart stores, raising complaints
• Black Hat 2023 Review: LLMs Everywhere | DNSFilter
• Blog :: What I've Learned About Formal Methods In Half a Year
• Book
• Books
• Books That Helped Me Become a Tech Lead
• Booz Allen is closing its tech talent gap with raises and bonuses
• Borda count - Wikipedia
• Boris Cherny (@bcherny) on X
• Bud Light's downfall marks a seismic shift in consumer behavior | Fortune
• Buffon's needle problem - Wikipedia
• Build Your Own Face Recognition Tool With Python – Real Python
• Building a C compiler with a team of parallel Claudes
• Building a Decision Tree in Python from Postgres data - Gary Sieling
• Building a Knowledge Graph for Business: The Semantic Backbone of Big AI
• Building a simple Generative Adversarial Network (GAN) using TensorFlow | DigitalOcean
• Building a Simple Python-Based GAN in 5 minutes
• Building with Gemini 3 in Jules
• Building your first Jekyll site in 5 minutes
• Bunimovich Stadium
• Burrows–Wheeler transform - Wikipedia
• BUS 41204: Machine Learning
• Business Technology Trends and Predictions 2019
• Calculator for eigenvalues and eigenvectors
• Calculus on Computational Graphs: Backpropagation
• Calderon-Zygmund lemma - Wikipedia
• Caltech sued over 'deceptive' cybersecurity bootcamp
• CAMEL-AI | Finding the Scaling Laws of Agents
• Cameras and Lenses – Bartosz Ciechanowski
• Can 1B LLM Surpass 405B LLM? Optimizing Computation for Small LLMs to Outperform Larger Models
• Can AI really be protected from text-based attacks? | TechCrunch
• Can the Most Abstract Math Make the World a Better Place? | Quanta Magazine
• Carbon — open source ERP, MES and QMS for manufacturing
• Case Studies
• Casual Shadertoy Path Tracing 1: Basic Camera, Diffuse, Emissive
• Category theory for beginners
• Category: dyslexia
• Cauchy–Schwarz inequality - Wikipedia
• ccv
• Centrality - Wikipedia
• Centroids
• Character and Success... and the Cognitive Model (Part 10 of 14)
• Chat with your data using OpenAI, Pinecone, Airbyte and Langchain
• ChatGPT and generative AI are booming, but the costs can be extraordinary
• ChatGPT Gets Its "Wolfram Superpowers"!
• ChatGPT is 'not particularly innovative,' and 'nothing revolutionary', says Meta's chief AI scientist
• ChatGPT is not all you need. A State of the Art Review of large Generative AI models
• ChatGPT Makes OK Clinical Decisions—Usually
• ChatGPT-4 Receives 'B' on Scott Aaronson's Quantum Information Science Final
• Cheatsheet
• Cheatsheet
• Chegg's stock plunges on fears of competition from ChatGPT
• Chicago Python User Group
• Chinese hackers steal chip designs from major Dutch semiconductor company — perps lurked for over two years to steal NXP's chipmaking IP
• ChucK: A Strongly-Timed Music Programming Language
• Cigna Sued Over Algorithm Allegedly Used To Deny Coverage To Patients
• CinePI: a high-end film camera built on Raspberry Pi - Raspberry Pi
• Circles Sines and Signals
• Circumvent Facial Recognition With Yarn
• Claude Code Ralph Plugin Breaks LLM Performance (And a Simple Bash Loop Wins)
• Claude Code Tasks Are Here (New Update Turns Claude Code ToDos to Tasks)
• claude code's DX is too good. and that's a problem.
• Claude Fable 5 and Mythos 5: Capabilities
• Claude Fable 5 and Mythos 5: The System Card
• Claude for Life Sciences
• Claude Skills are awesome, maybe a bigger deal than MCP
• Claude Sonnet 5 Is Not Frontier But Has Its Uses
• Claude's Chrome plugin is now available to all paid users - Engadget
• Clawdbot vs Claude Code: One for Coding, One for Everything Else (Don't Get Confused)
• Clearview AI agrees to permanent ban on selling facial recognition to private companies
• Closure (computer programming) - Wikipedia
• Clothing designer tricks AI-powered face recognition into thinking you're an animal
• Cluster a Correlation Matrix (in python) – Wil Yegelwel
• CMSC 121 Autumn 2012
• CMU's 'Penrose' Turns Complex Math Notations Into Illustrative Diagrams | Synced
• CNN based face detection from dlib http://www.arunponnusamy.com/cnn-face-detector-dlib.html
• COBOL Is the Asbestos of Programming Languages
• Codebymath.com - Online coding lessons that teach you about math.
• Coding Interviews were HARD, until I learned these Patterns
• Coffee College: Everything You Wanted to Know about Coffee Making in One Lecture
• Cohere Command Models: AI-Powered Solutions for Enterprise
• Collaborative Filtering — Machine Learning | Google for Developers
• Colorless green ideas sleep furiously - Wikipedia
• Column: Love it or hate it, the Silicon Valley Bank bailout won't cost taxpayers a cent
• Combining Text-to-SQL with Semantic Search for Retrieval Augmented Generation
• Compact group - Wikipedia
• Compared to Other Skilled Work - Engineers are Dramatically Underpaid
• Comparing Memory Systems for LLM Agents: Vector, Graph, and Event Logs
• Complex Projective 4-Space
• Compressing and enhancing hand-written notes
• Computational Geometry in Python
• Computational Statistics in Python
• Computer Scientists Inch Closer to Major Algorithmic Goal | Quanta Magazine
• Computer Vision: Algorithms and Applications, 2nd ed.
• Computing Expert Says Programmers Need More Math | Quanta Magazine
• Conjugacy class - Wikipedia
• Conjugate element (field theory) - Wikipedia
• Conjugate transpose - Wikipedia
• Conjugate Transpose -- from Wolfram MathWorld
• contents
• convert ipython notebook to presentation with cells contents hidden
• Convex Optimization – Boyd and Vandenberghe
• ConvNetJS
• Convolution - Wikipedia
• Convolution of probability distributions - Wikipedia
• Cosine similarity, Pearson correlation, and OLS coefficients
• Cosines and correlation
• Cost calculations for LLM providers
• Could A Y Combinator AI Startup's Voice Agent Transform Productivity?
• Couple fined after bus lane camera photographs text on woman's top
• Course Notes -- J.S. Milne
• Covariance matrix - Wikipedia
• Cramer's rule - Wikipedia
• Creating Web APIs with Python and Flask
• Creepy big data health models
• Crisis Text Line, from my perspective
• Cromwell's rule - Wikipedia
• Crooks' Mistaken Bet on Encrypted Phones
• Crowdsourcing Platform and Innovator Network | HeroX
• CS285
• CSC321 Neural Networks and Machine Learning (UTM)
• CSS Zen Garden
• CSS Zen Garden
• CV4Animals Workshop
• cvlib/cvlib/face_detection.py at master · arunponnusamy/cvlib
• cvlib/examples/face_detection.py at master · arunponnusamy/cvlib
• Cyber Certifications Have Failed. How to Build and Prove Cyber Skills
• DARPA Advances Quantum Computing Initiative
• Data Movement in Netflix Studio via Data Mesh
• Data Science from Scratch, 2nd Edition
• Data Science Most Read Articles
• Data Structure Visualizations
• David Haussler - Wikipedia
• De Finetti's theorem - Wikipedia
• Deciding When to Submit a 510(k) for a Change to an Existing Device
• Decisions from Data: How Offline Reinforcement Learning Will Change How We Use ML
• Deconstructing Geoffrey Hinton's weakest argument
• Deep Implicit Attention: A Mean-Field Theory Perspective on Attention Mechanisms
• Deep Learning
• Deep Learning and Effective Correlation Spaces
• Deep Learning for Anomaly Detection
• Deep Learning Through the Lens of Example Difficulty
• Deep Reinforcement Learning at the Edge of the Statistical Precipice
• Deep Reinforcement Learning Doesn't Work Yet
• Deep Skies
• DeepDream | TensorFlow Core
• Deepfakes are now trying to change the course of war | CNN Business
• Deepfakes for scrawl: With handwriting synthesis, no pen is necessary
• deeplearning.ai
• DeepMind Paper Provides a Mathematically Precise Overview of Transformer Architectures and Algorithms | Synced
• DeepMind researcher claims new AI could lead to AGI, says 'game is over'
• DeepMind scientists: Reinforcement learning is enough for general AI
• DeepMind's Collect & Infer: A Fresh Look at Data-Efficient Reinforcement Learning | Synced
• DeepMind's secret mafia: Meet the stealth startups emerging from Google's AI lab
• DeepSeek - A Wake-Up Call For US Higher Education
• Definite matrix - Wikipedia
• Degeneracy (mathematics) - Wikipedia
• Demystifying Support Vector Machines for Beginners: A Reading List
• Design and Code with ChatGPT and Midjourney
• Design Patterns for Building Resilient Systems - CodeOpinion
• Design self-guided learning for your career with Gemini | Google Workspace Blog
• Designed to Deceive: Do These People Look Real to You? (Published 2020)
• Determinantal point process - Wikipedia
• Detrended correspondence analysis - Wikipedia
• Developing a Single Page App with FastAPI and React
• Diagnosing Memory "Leaks" in Python
• Did Elon Musk Turn Off Starlink Access in Crimea To Disrupt Ukrainian Attack?
• Difference between 'struct' and 'typedef struct' in C++?
• Diffusion equation - Wikipedia
• Diffusion wavelets - Wikipedia
• Dirichlet distribution - Wikipedia
• Discrete cosine transform - Wikipedia
• Disinformation Is a Threat to Our Democracy
• Distill — Latest articles about machine learning
• Distilling step-by-step: Outperforming larger language models with less training
• Distributed Computing for Data Scientists
• Divided highway
• dnaa
• Does hot water freeze faster than cold water? Examining the Mpemba effect
• Does Prompt Caching Make RAG Obsolete?
• Does Vibe Coding Really Work? We Built a Game With Claude—Here's How It Turned Out - Decrypt
• Don Knuth and the Art of Computer Programming: The Interview
• Don't Mistake Training For Learning
• Don't use Hadoop - your data isn't that big
• Draw polygons more efficiently with matplotlib
• DS-STAR: A state-of-the-art versatile data science agent
• dslp/steps.md at main · dslp/dslp
• DSPy
• Duolingo CEO Expresses Astonishment That People Were Mad When He Bragged About Replacing Workers With AI
• Duolingo will replace contract workers with AI
• DZone: Programming & DevOps news, tutorials & tools
• Early Evidence of Vibe-Proving with Consumer LLMs: A Case Study on Spectral Region Characterization with ChatGPT-5.2 (Thinking)
• Easily create blog post excerpts for Jekyll and Github Pages (Example)
• Edsger Dijkstra's One-Day Workweek - Cal Newport
• Educating national security leaders on artificial intelligence
• Educative: AI-Powered Interactive Courses for Developers
• Efficient transformers: Survey of recent work
• Eigenfaces, for Facial Recognition
• Eight Terminal Utilities Every OS X Command Line User Should Know
• El Niño Project (Part 3)
• Element-wise string comparison
• Elicit: AI for scientific research
• Elon Musk Has Fired Twitter's 'Ethical AI' Team
• elvis (@omarsar0) on X
• Employment for computer programmers in the U.S. has plummeted to its lowest level since 1980—years before the internet existed | Fortune
• End of an Era at Google DeepMind Hints at New Future for AI
• Enemy AI: chasing a player without Navigation2D or A* pathfinding
• Enigma: Decentralized Computation Platform with Guaranteed Privacy
• Enterprise Web Design, Application Development, & Marketing / SEO Services
• Episode 62 - Tai-Danae Bradley — Kevin Knudson
• Eraser – AI co-pilot for technical design
• Eric Schmidt Is Building the Perfect AI War-Fighting Machine
• Euler's identity - Wikipedia
• Eulerian Melodies: Graph Algorithms for Music Composition | Towards Data Science
• Evaluating RAG pipelines with Ragas + LangSmith
• Evaluating Recommenders with Distributions
• Even experts are surprised by AI's latest 'vibe-mathing' advance
• Everything you need to know about pointers in C
• Examining The History, Consequences, and Effects of Race-Based Clinical Algorithms on Health Equity: A Workshop
• Example script demonstrating the use of BioPython to compare genomic sequences at a given gene location.
• Exchangeable random measures
• Exercism
• Exhausted man defeats AI model in world coding championship
• Expert reveals the fascinating link between math and card shuffling
• explainshell.com - tar xzvf archive.tar.gz
• Exploring Bayesian Optimization
• Extending Python with Numerical Recipes
• f-divergence - Wikipedia
• Fable #6: The Return of the King
• Fable and Mythos: Model Welfare
• Face detection with OpenCV and deep learning - PyImageSearch
• Facebook owner reportedly paid Republican firm to push message TikTok is 'the real threat'
• Facebook's Quest to Build an Artificial Brain Depends on This Guy
• Faced with a desperate skills shortage, tech leaders plead for computer science reform in schools
• Fair play for machines: Chomsky's misreading of Turing, and why it matters.
• Fast approximation of matrix coherence and statistical leverage
• Fast multipole method - Wikipedia
• Find minimum s-t cut in a flow network - GeeksforGeeks
• Finding Bathroom Faucets with Embeddings
• Finding Clandestine Graves: Using Geospatial Analysis to Search for Missing Persons in Baja California, Mexico
• Finding Common Ground on AI — Semafor Event
• Finding the K in K-Means Clustering
• Fine-tuning ChatGPT: Surpassing GPT-4 Summarization Performance — 63% Cost Reduction and 11x Speed Enhancement using Synthetic Data and LangSmith
• Fine-tuning · Hugging Face
• Fintech startup Brex was among the bidders for SVB's early-stage and growth portfolios
• First Shape Found That Can't Pass Through Itself | Quanta Magazine
• Fitting Polynomials: Where is sloppiness from?
• Flappy Bird RL
• Flow Proof Helps Mathematicians Find Stability in Chaos | Quanta Magazine
• Fokker–Planck equation - Wikipedia
• Folium#
• For companies sticking with remote work, the rules for success are becoming clear
• For Some Autistic People, ChatGPT Is a Lifeline
• Forget ChatGPT Canvas — I just tried Gemini Canvas and I'm floored by the difference
• Forget SaaS: The future is Services as Software, thanks to AI
• Formalising mathematics - an introduction
• Formalization of QFT
• Former employee and longtime shareholder files new lawsuit against Silicon Valley Bank
• Fourier analysis - Wikipedia
• Fourier transform for dummies
• Free Data Visualization Books
• Free Mathematics Books
• Frequentism and Bayesianism IV: How to be a Bayesian in Python
• Friar Tech: The Vatican's top AI expert who advises Silicon Valley
• Frobenius Norm -- from Wolfram MathWorld
• From Data to Drugs: The Role of Artificial Intelligence in Drug Discovery
• From Google To Nvidia, Tech Giants Have Hired Hackers To Break AI Models
• From Graph ML to Deep Relational Learning | Towards Data Science
• From Statistical to Causal Learning
• Frontiers | Why Brain Criticality Is Clinically Relevant: A Scoping Review
• Full Committee Hearing - Artificial Intelligence Advancing Innovation Towards the National Interest
• Functional Programming with Python
• Gamatogel: Situs Toto Togel Resmi Olive Bandar Toto Slot Gacor Happyhour
• Game Theory
• Game theory as an engine for large-scale data analysis
• Game-Changer For Excel: Free AI Bot Creates Any Excel Formula You Need - BGR
• Gary Sieling - Principal Engineer
• Gausian distributions form a monoid
• Gemma: Introducing new state-of-the-art open models
• General Catalyst, Andreessen Horowitz bet on large language models for health care
• General linear group - Wikipedia
• Generating Consistent Imagery with Gemini | Towards Data Science
• Generative Adversarial Networks (d2l.ai)
• Generative AI may be creating more work than it saves
• Generative AI needs tools to avoid copyright infringement, Databricks' Naveen Rao says — or more companies could meet Napster's fate
• Generative AI Training and Copyright Law
• Generative AI: A Creative New World
• Genetic Programming: Evolution of Mona Lisa
• Genetically altered pig heart transplanted into a human for the second time
• Gensim: topic modelling for humans
• Geometrical Interpretation of Linear Regression in Machine Learning versus Classical Statistics
• George Carlin Estate Sues Creators of AI-Generated Comedy Special in Key Lawsuit Over Stars' Likenesses
• get-physics-done — open-source agentic AI physicist (PSI)
• Getting an all-optical AI to handle non-linear math
• Getting Started With Pytorch In Google Collab With Free GPU
• Getting Transparency Right
• git - the simple guide
• GitHub - ahgroup/DSAIDE: R Package - Dynamical Systems Approach to Infectious Disease Epidemiology
• GitHub - aipotheosis-labs/aci: ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.
• GitHub - amazon-science/co-with-gnns-example
• GitHub - AshleyF/VimSpeak: Speak to your editor.
• GitHub - audreyfeldroy/favicon-cheat-sheet: Obsessive cheat sheet to favicon sizes/types.
• GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets.
• GitHub - badaramoni/wave-field-llm: Wave Field AI — a efficient attention architecture for language models
• GitHub - benedekrozemberczki/littleballoffur: Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
• GitHub - bmtgoncalves/pyNASA
• GitHub - CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers: aka \"Bayesian Methods for Hackers\
• GitHub - catalyst-team/dl-course: Deep Learning with Catalyst
• GitHub - codecrafters-io/build-your-own-x: Master programming by recreating your favorite technologies from scratch.
• GitHub - darrenburns/elia: A snappy, keyboard-centric terminal user interface for interacting with large language models.
• GitHub - daviddao/awful-ai: Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
• GitHub - erdc/ampl: Automated Machine-learning PipeLine
• GitHub - eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
• GitHub - eugeneyan/applied-ml
• GitHub - Factual/drake: Data workflow tool, like a "Make for data
• GitHub - garg-ankush/scipe: SCIPE is a powerful tool for evaluating and diagnosing LLM (Large Language Model) graphs or chains.
• GitHub - google-research/tuning_playbook: A playbook for systematically maximizing the performance of deep learning models.
• GitHub - googlecodelabs/tools: Codelabs management & hosting tools
• GitHub - HandsOnLLM/Hands-On-Large-Language-Models: Official code repo for the O'Reilly Book - "Hands-On Large Language Models
• GitHub - huggingface/education-toolkit: Educational materials for universities
• GitHub - hyperopt/hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python
• GitHub - jessevig/bertviz: BertViz: Visualize Attention in Transformer Models
• GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.
• GitHub - JuliusBrussee/caveman - Claude Code skill that cuts 65% of tokens by talking like caveman
• GitHub - kvh/ramp: Rapid Machine Learning Prototyping in Python
• GitHub - Landcruiser87/numpy_SMU
• GitHub - lanl/minervachem: a python library for cheminformatics and machine learning
• GitHub - lihaoyi/macropy: Macros in Python: quasiquotes, case classes, LINQ and more!
• GitHub - Olshansk/interview: Everything you need to prepare for your technical interview
• GitHub - OpenADMET/openadmet-models: Machine learning workflows for the OpenADMET project
• GitHub - PatrickJS/awesome-cursorrules
• GitHub - pfnet/pfrl: PFRL: a PyTorch-based deep reinforcement learning library
• GitHub - pkmital/tensorflow_tutorials: From the basics to slightly more interesting applications of Tensorflow
• GitHub - poteto/hiring-without-whiteboards
• GitHub - PredictiveIntelligenceLab/jaxpi
• GitHub - rcamino/multi-categorical-gans: Code for the paper \"Generating Multi-Categorical Samples with Generative Adversarial Networks\
• GitHub - realpython/discover-flask: Full Stack Web Development with Flask
• GitHub - recommenders-team/recommenders: Best Practices on Recommendation Systems
• GitHub - recommenders-team/recommenders: Best Practices on Recommendation Systems
• GitHub - rfordatascience/tidytuesday: Official repo for the #tidytuesday project
• GitHub - RL-Research-Cohiba/Reinforcement_Learning: Reinforcement Learning research
• GitHub - sainathadapa/attention-primer-pytorch
• GitHub - sktime/pytorch-forecasting: Time series forecasting with PyTorch
• GitHub - suryasev/unofficial-google-trends-api: Python-based API that uses the http site to download Google Trends data
• GitHub - tatsu-lab/stanford_alpaca: Code and documentation to train Stanford's Alpaca models, and generate the data.
• GitHub - tensorflow/skflow: Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
• GitHub - tiimgreen/github-cheat-sheet: A list of cool features of Git and GitHub.
• GitHub - XinmengLiao/Open_MoA: Open MoA is a potent tool for identifying the underlying drug mechanism of actions (MoAs), core biological pathways, and key targets.
• GitHub - ypeleg/HungaBunga: HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
• GitHub - zhouhaoyi/ETDataset: The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
• GitHub Classroom
• Github Copilot and ChatGPT alternatives
• Given What We Don't Know, Blocking Fully Online Degrees Was Right Call
• Glasgow Willy Wonka experience called a 'farce' as tickets refunded
• GLM-5.2 Is The New Best Open Model
• Goal-directed graph construction using reinforcement learning
• Godfather of Artificial Intelligence" Geoffrey Hinton on the promise, risks of advanced AI
• Google AI Introduces ArchGym: An Open-Source Gymnasium for Machine Learning that Connects a Diverse Range of Search Algorithms To Architecture Simulators
• Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End Analytics
• Google AI Introduces GraphWorld: A Methodology For Analyzing The Performance Of GNN Architectures On Millions Of Synthetic Benchmark Datasets
• Google AI Zones Out While Being Trained On Mandatory Racial Sensitivity Data Set
• Google and the Department of Defense are building an AI-powered microscope to help doctors spot cancer
• Google DeepMind boss hits back at Meta AI chief over 'fearmongering' claim
• Google DeepMind pushes for faster ASIC design, energy efficiency to meet AI surge
• Google DeepMind's AI Weather Forecaster Handily Beats a Global Standard
• Google publishes document on more notable ranking systems
• Google Publishes Scaling Principles for Agentic Architectures
• Google Replaces BERT Self-Attention with Fourier Transform: 92% Accuracy, 7 Times Faster on GPUs
• Google Researchers Can Create an AI That Thinks a Lot Like You After Just a Two-Hour Interview
• Google says it's committed to ethical AI research. Its ethical AI team isn't so sure.
• Google takes aim at Duolingo with new English tutoring tool | TechCrunch
• Google Ventures doubles down on dev tool startup Blacksmith just 4 months after its seed round | TechCrunch
• Google Workspace Updates: New community features for Google Chat and an update on Currents
• Google's hidden AI diversity prompts lead to outcry over historically inaccurate images
• Google's medical AI chatbot is already being tested in hospitals
• Google's NotebookLM had to teach its AI podcast hosts not to act annoyed at humans | TechCrunch
• Google's top AI scientist says 'learning how to learn' will be next generation's most needed skill
• GPS Tracking Shows How Much Wolf Packs Avoid Each Other's Range
• GPT-5.6: The System Card
• Graded Problem Sets and the Expectations of Law Students
• Gradient Ascent #10
• Gradient descent for linear regression using PyTorch
• Gradient descent for linear regression¶
• Gradient Descent Models Are Kernel Machines (Deep Learning)
• Gram matrix - Wikipedia
• Gram–Schmidt process - Wikipedia
• Graph Classification with Transformers
• Group Explorer 2.2
• Groupprops, The Group Properties Wiki (beta)
• HackerRank - Online Coding Tests and Technical Interviews
• Hannes Bretschneider
• Harmonic analysis - Wikipedia
• Harvard '21 grad says Gen Z just uses A.I. to do their homework
• Harvard Held the Future of Education in Its Hands. Then We Sold It. | Opinion | The Harvard Crimson
• Hawksbill turtles have relatively crude navigational skills
• He made linear algebra fun
• Here Are All 49 Stocks Warren Buffett Holds for Berkshire Hathaway's $371 Billion Portfolio | The Motley Fool
• Here are the layoff severance packages Google, Microsoft, Amazon and other tech giants have promised
• Here are the top 10 generative-AI startups founded by ex-Googlers that are taking on ChatGPT
• Here's a Database of Media Scientifically Verified to Give You the Chills
• Hermes Agent Adds Asynchronous Subagents, So Delegated Work No Longer Blocks the Parent Chat
• Heuristics for lab robotics, and where its future may go
• Hidden features of Python
• Hierarchical Navigable Small Worlds (HNSW) | Pinecone
• Hiring Your First Chief AI Officer
• Hitting the Books: The women who made ENIAC more than a weapon - Engadget
• HLearn cross-validates >400x faster than Weka
• Home - AI Now Institute
• Home - Made With ML by Anyscale
• Homepage
• Homepage
• How a gambler's question led math prodigy Blaise Pascal to found probability theory
• How a Kaggle Grandmaster cheated in $25,000 AI contest with hidden code – and was fired from dream SV job
• How a Renaissance gambling dispute spawned probability theory
• How a Russian mathematician constructed a decision tree - by hand - to solve a medical problem
• How a Sharp-Eyed Scientist Became Biology's Image Detective
• How a year-long LeetCode habit upped my professional game—Martian Chronicles, Evil Martians' team blog
• How A.I. Is Changing the Way the World Builds Computers (Published 2025)
• How AI can keep disappearing languages alive
• How are feature_importances in RandomForestClassifier determined?
• How Bond Laddering Can Keep You From Having An SVB Portfolio Nightmare
• How ChatGPT is changing the way cybersecurity practitioners look at the potential of AI
• How Claude Helps Me Manage My Calendar (but ChatGPT Stumbles!)
• How Computationally Complex Is a Single Neuron? | Quanta Magazine
• How Developers Stop Learning: Rise of the Expert Beginner
• How do I find Waldo with Mathematica?
• How do I sum the first value in each tuple in a list of tuples in Python?
• How Estonia ripped up its school plans just 5 years after breaking from Russia and became the top country in math, science, and reading outside Asia | Fortune
• How Google Sold Its Engineers on Management
• How I Automate Grading With LangChain And GPT-4
• How I Organize Posts In Jekyll
• How I Use Every Claude Code Feature
• How I use Google's new Antigravity IDE without hitting rate limits
• How I Used DALL·E 2 to Generate The Logo for OctoSQL
• How IBM's Watson Went From the Future of Health Care to Sold Off for Parts
• How Is Flocking Like Computing? | Quanta Magazine
• How JPMorgan Chase built a data mesh architecture to drive significant value to enhance their enterprise data platform | Amazon Web Services
• How long should a lockdown-relaxation cycle last?
• How machine learning powers Facebook's News Feed ranking algorithm
• How machine-learning models can amplify inequities in medical diagnosis and treatment
• How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models
• How Math Became an Object of the Culture Wars
• How modern mathematics emerged from a lost Islamic library
• How Much of the World Is It Possible to Model?
• How not to write Python code
• How NotebookLM is Transforming Academic Workflows with AI Tools
• How one software engineer is turning Silicon Valley Bank's collapse story into a musical
• How Peter Thiel's Relationship With Eliezer Yudkowsky Launched the AI Revolution
• How Pythagoras turned math into a tool for understanding reality
• How Quantum Physics Describes Earth's Weather Patterns | Quanta Magazine
• How Randomness Improves Algorithms | Quanta Magazine
• How Scientists Are Using AI to Talk to Animals
• How Smart is ChatGPT?
• How structural racism plays a role in lowering credit scores
• How Swarming Insects Act Like Fluids | Quanta Magazine
• How the Foundation Model Transparency Index Distorts Transparency
• How the Pandemic Made Algorithms Go Haywire
• How to build a culture of cybersecurity | MIT Sloan
• How to Build a Small Solar Power System
• How to Build An AI Agent with Function Calling and GPT-5 | Towards Data Science
• How To Build and Deploy a Machine Learning Model with FastAPI
• How to build your company's engineering brand
• How to Create Powerful Loops in Claude Code | Towards Data Science
• How To Delete Your Data From ChatGPT
• How to Design a Production-Grade Multi-Agent Communication System Using LangGraph Structured Message Bus, ACP Logging, and Persistent Shared State Architecture
• How to design logos using DallE 3 - Complete guide
• How to Easily Calculate Confidence Intervals for Your Study | SurveySparrow
• How to fine-tune FunctionGemma and run it locally
• How to Fold a Julia Fractal
• How to get Linux console window width in Python
• How to implement an RNN (2/2) - Tensor data and non-linearities
• How To Install TensorFlow on M1 Mac
• How to negotiate your Amazon job offer
• How To Replace Your Python For Loops with Map, Filter, and Reduce
• How to run Stable Diffusion on your Mac
• How to solve the Secret Santa Problem using graph theory
• How to train a new language model from scratch using Transformers and Tokenizers
• How to Use Emacs, an Excellent Clojure Editor
• How to use Figma MCP with Claude Code to build pixel perfect designs | Composio
• How to Use RLMs in Deep Agents
• How we Geolocated a Photo of a Russian Missile Programming Team - bellingcat
• How We Use Claude Code Skills to Run 1,000+ ML Experiments a Day
• Hugging Face clones OpenAI's Deep Research in 24 hours
• Hugging Face Introduces StackLLaMA: A 7B Parameter Language Model Based on LLaMA and Trained on Data from Stack Exchange Using RLHF
• Hugging Face Just Released SmolAgents: A Smol Library that Enables to Run Powerful AI Agents in a Few Lines of Code
• Human intuition fuels AI-driven quantum materials discovery
• Hungarian algorithm - Wikipedia
• I Bought a CO2 Monitor, and It Broke Me
• I created over a dozen personal apps using AI in 60 days, here's what I learned
• I Tested (New) Claude Code /Insights (It Roasted My Coding Habits)
• I Tested Oh My Claude Code The Only Agents Swarm Orchestration You Need
• I Tried New Claude Code Ollama Workflow ( It's Wild & Free)
• I tried using NotebookLM's new AI Video Overviews and ended up with some usefully informative, but rather dull PowerPoint presentations
• I use Docker containers for everything now, and they are the most boring but incredible software I run
• I used Claude to vibe-code my wildly overcomplicated smart home
• I used Gemini 2.0 to create an AI shopping assistant — it's surprisingly good at saving me time and money
• I vibe-coded my entire productivity stack in a weekend, and I'm never going back
• I work remotely, but my co-workers are returning to the office—here's what career experts told me to do
• I worked on Google's AI. My fears are coming true
• I'm an SVB employee who lost more than $1 million. Here's the inside story of our struggle to survive.
• I'm running a 120B local LLM on 24GB of VRAM, and now it powers my smart home
• I've been using Claude Code for a couple of days
• IBM, HuggingFace, and NASA Open-Sources Watsonx.ai Foundation Model
• ICA Example
• ICML: Where causality meets machine learning
• IDEcline: How the world's most powerful coding tools became second-class citizens overnight
• If correlation doesn't imply causation, then what does?
• Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
• ImageNet
• Implementation differences in LSTM layers- Tensorflow vs Pytorch | Towards Data Science
• Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling
• Improving language models by retrieving from trillions of tokens
• In Mysterious Pattern, Math and Nature Converge | Quanta Magazine
• In-depth introduction to machine learning in 15 hours of expert videos
• Independence,autonomy,too many small teams | Kislay Verma
• Indescribable numbers: The theorem that made me fall in love with math
• Information Theory Finds the Best Wordle Starting Words
• Inner Product
• Innovating Faster on Personalization Algorithms at Netflix Using Interleaving
• Inscribe bags $25M to fight financial fraud with AI | TechCrunch
• Inside Former Google CEO Eric Schmidt's $1 Billion Philanthropic Mess
• Inside the lucrative, disturbing world of humans training AI chatbots
• Inside the Music Industry's High-Stakes A.I. Experiments
• Interactive Linear Algebra
• Interactive zero knowledge 3-colorability demonstration
• Interpreting Covid-19 Test Results: A Bayesian Approach
• Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations
• Introducing Amazon Bio Discovery | Amazon Web Services
• Introducing Claude for education
• Introducing LLM-Evalkit | Google Cloud Blog
• Introducing TabFM — a zero-shot foundation model for tabular data
• Introduction to Graph Machine Learning
• Introduction to Machine Learning Interviews Book
• Intuition Cheatsheet
• Intuitive Explanation of the Kullback-Leibler Divergence
• Intuitive RL: Intro to Advantage-Actor-Critic (A2C) | HackerNoon
• Intuitively, what is the difference between Eigendecomposition and Singular Value Decomposition?
• Invitation to Another Dimension
• Is AI a danger to humanity or our salvation?
• Is Santa Clara the Heart of Silicon Valley Soulless and Banal by Intent
• Is This Analog AI's Best Hope?
• Isomap - Wikipedia
• It is time to say Goodbye!
• It never gets easier, you just go faster.
• Jailbreaking Black Box Large Language Models in Twenty Queries
• Janet Yellen: Some banks may be 'quite stressed' by empty office building trouble | CNN Business
• January 7-9th, 2018, Sheraton Philadelphia Downtown
• JAX: Is This Google's NumPy killer?
• JetBrains working on higher-abstraction programming language
• Jim Keller's startup rebrands Atomic Semi as Fab2, moves to Texas
• Jinja
• John Santerre
• John Santerre
• JPMorgan, Bank of America and 4 other Wall Street titans are set to pay $8.9 billion after this spring's banking fiasco
• Just Because They've Turned Against Humanity Doesn't Mean We Should Defund the Terminator Program
• Justice by the Numbers: Meet the Statistician Trying to Fix Bias in Criminal Justice Algorithms
• Keras inventor Chollet charts a new direction for AI: a Q&A
• Kernel (linear algebra) - Wikipedia
• Keynote at NVIDIA GTC San Jose 2026
• Kinetic proofreading - Wikipedia
• Know Thy Complexities!
• Kosambi–Karhunen–Loève theorem - Wikipedia
• Krisp
• Kullback-Leibler divergence - Wikipedia
• Lanczos algorithm - Wikipedia
• Language, Statistics, & Category Theory, Part 1
• Laplace operator - Wikipedia
• Large Language Model Performance Doubles Every 7 Months
• Large Language Models as Optimizers
• Laser attack blinds autonomous vehicles, deleting pedestrians and confusing cars
• Latest Neural Nets Solve World's Hardest Equations Faster Than Ever Before
• LaTeX.org — TikZ arrowhead size
• Law Requiring Social Media Transparency Would Break New Ground
• LDG
• Leaked org chart reveals the 58 top leaders and engineers at Google DeepMind
• Learn C The Hard Way
• Learn C The Hard Way
• Learn Emacs Lisp in 15 minutes
• Learn Haskell Fast and Hard
• Learn in newer, deeper ways with Gemini
• Learn Lua in 15 Minutes
• Learn Python the Hard Way
• Learn PyTorch for Deep Learning – Free 26-Hour Course
• Learn regular expressions in about 55 minutes
• Learn X in Y minutes
• Learning High-Dimensional Mixtures of Graphical Models
• Learning Materials
• Learning to Replicate Expert Judgment in Financial Tasks
• Least squares fitting with Numpy and Scipy
• Leica Hopes Its New $9,500 Camera Can Save Photojournalism From AI
• Let's Build the GPT Tokenizer — A Complete Guide to Tokenization in LLMs
• LETOR: Learning to Rank for Information Retrieval - Microsoft Research
• LETOR: Learning to Rank for Information Retrieval - Microsoft Research
• Levels.fyi | Salaries & Tools to Level Up Your Career
• Levi's Will Begin Testing AI-Generated Models
• Libraries
• LightPROF: A Lightweight AI Framework that Enables Small-Scale Language Models to Perform Complex Reasoning Over Knowledge Graphs (KGs) Using Structured Prompts
• Linear Algebra Archives - The Stata Blog
• Linear Algebra Done Right
• Linear Algebra Toolkit
• Linear algebra tutorial in four pages
• Linux Foundation Launches OpenTofu: A New Open Source Alternative to Terraform
• Liquid for Designers
• list
• Llamar.ai: A deep dive into the (in)feasibility of RAG with LLMs
• LLM Leaderboard - Comparison of over 100 AI models from OpenAI, Google, DeepSeek & others
• LLMs-local — awesome platforms, tools, and resources for running LLMs locally
• Local AI is finally boring, and that's why it's finally useful
• Local LLMs are useful now, and they aren't just toys
• Look behind the curtain: Don't be dazzled by claims of 'artificial intelligence' | Op-Ed
• Lucidchart | Diagramming Powered By Intelligence
• LyX: How to hide text style labels by default
• Machine Learning & Neural Research - Chapelle
• Machine Learning Algorithm Recipes in scikit-learn - MachineLearningMastery.com
• Machine Learning Could Create the Perfect Game Bosses
• Machine Learning Course Series
• Machine Learning Course Series
• Machine Learning Crash Course — Google for Developers
• Machine Learning Done Wrong
• Machine Learning Research Blog
• Machine Learning Systems (Spring 2022)
• Machine Learning Video Library
• Machine Learning, Kolmogorov Complexity, and Squishy Bunnies
• Machine-Learning Maestro Michael Jordan on the Delusions of Big Data and Other Huge Engineering Efforts
• Machines won't ever make decisions on their own, says Pentagon AI chief | CNN
• Main Content
• Maine to allow ranked votes in general presidential election
• Maine to allow ranked votes in general presidential election
• Major Universities Are Using Race as a "High Impact Predictor" of Student Success – The Markup
• Make discoveries with your data
• Making sense of principal component analysis, eigenvectors & eigenvalues
• Malcolm Gladwell, who works remotely and said in 2005 that he starts his day on the sofa with a laptop, says it's not in people's 'best interest' to work from home
• Mapping the Mind of a Large Language Model
• Mark Cuban hits back after Elon Musk criticizes business diversity initiatives
• Mark Zuckerberg says AI could soon do the work of Meta's midlevel engineers
• Markov Chain Monte Carlo in Python | Towards Data Science
• Markov Chains explained visually
• Markov Models of Social Change (Part 1)
• Marvin Minsky's Vision of the Future
• Marvin Minsky's Vision of the Future
• Math 101 for Pilots
• Math and the Beaches of Rio
• Math Reveals How Many Shuffles Randomizes A Deck
• Math's 'hairy ball theorem' shows why there's always at least one place on Earth where no wind blows
• Math3ma
• Mathematical methods and human thought in the age of AI
• Mathematicians Are Close to Building the Perfect Periodic Table of Shapes
• Mathematicians create algorithm that could accelerate IoT by using optimal traffic division
• Mathematicians Discover New Way to Predict Structure in Graphs | Quanta Magazine
• Mathematicians prove Pólya's conjecture for the eigenvalues of a disk, a 70-year-old math problem
• Mathematicians Prove Symmetry of Phase Transitions | Quanta Magazine
• MathJax Bookmarklet
• MathNet — Explore 30,000+ Olympiad Math Problems
• Matrix Factorization (d2l.ai)
• Matrix Factorization for Movie Recommendations in Python
• Matrix multiplication - Wikipedia
• Matrix norm - Wikipedia
• Matrix Rank
• Matrix Trace -- from Wolfram MathWorld
• Matthias "bitluni" Balwierz's Latest RISC-V Design Is a 160-Core "Supercluster" on a Single M.2 Card
• Maybe showing off an AI-generated fake TV episode during a writers' strike is a bad idea
• MCP + Google Sheets: A Beginner's Guide to MCP Servers
• MCP doesn't move data. It moves trust
• MCP: An (Accidentally) Universal Plugin System
• MCP: The Missing Link Between AI Agents and APIs
• Meet 'Stack,' A 3TB of Permissively Licensed Source Code for LLMs (Large Language Models)
• Meet AnythingLLM: A Full-Stack Application That Transforms Your Content into Rich Data for Enhanced Large Language Models LLMs Interactions
• Meet DrugAgent: A Multi-Agent Framework for Automating Machine Learning in Drug Discovery
• Meet PyGraft: An Open-Sourced Python-Based AI Tool that Generates Highly Customized, Domain-Agnostic Schemas and Knowledge Graphs
• Meet the 'new predators in higher education' who are driving students deeper into debt
• Meet TinyLlama: A Small AI Model that Aims to Pretrain a 1.1B Llama Model on 3 Trillion Tokens
• Memora scales agent memory to boost long-horizon productivity
• Men Are Creating AI Girlfriends and Then Verbally Abusing Them
• Mesmerizing Photos Reveal the Complex Flight Paths of Birds
• Meta is playing the AI game with house money
• Meta Superintelligence Labs executives are pushing staff to ditch slow internal systems for faster engineering tools
• Meta unveils HOT3D dataset for advanced computer vision training
• Meta's Yann LeCun predicts 'new paradigm of AI architectures' within 5 years and 'decade of robotics' | TechCrunch
• Meta-Q-Learning
• Mexican jumping beans exhibit diffusive motion, study finds
• Michael Shulman: Papers
• Microsoft announces a revolutionary keyboard designed for vibe coding!
• Microsoft Announces Azure ML, Cloud-based Machine Learning Platform That Can Predict Future Events | TechCrunch
• Microsoft for Python Developers Blog
• Microsoft Research – Emerging Technology, Computer, & Software Research
• Microsoft Solver Foundation 3.1
• Microsoft's relationship with OpenAI cracked when it hired Mustafa Suleyman, rival Marc Benioff says | TechCrunch
• Migrating an Sklearn model training Pipeline to Tensorflow Keras.
• Misleading Gun-Death Chart Draws Fire
• MIT 18.06 Linear Algebra, Spring 2005 : MIT OpenCourseWare : Free Download, Borrow, and Streaming : Internet Archive
• MLOps: Continuous delivery and automation pipelines in machine learning
• Modeling How Programmers Read Code
• Models for integrating data science teams within organizations
• Modular toolkit for Data Processing MDP
• Monday, December 11, 2006
• Monthly Roundup #43: June 2026
• Mozilla Weighs in on Accountability Legislation - PATA can help keep the Internet in the public's best interest
• MPI Tutorial Introduction
• msnews.github.io/assets/doc/introduction.md at master · msnews/msnews.github.io
• Multi-Armed Bandits in Python: Epsilon Greedy, UCB1, Bayesian UCB, and EXP3
• Multiple correspondence analysis - Wikipedia
• Must-Have Prompt Engineering Skills for 2024
• My Favorite Books: Part One
• Natural Language Processing in the kitchen
• Navigating the Jagged Technological Frontier | Harvard Business School AI Institute
• NBEAM: How I Wrote an Ultra-Fast DNA Sequence Alignment Algorithm in JavaScript
• Neglected machine learning ideas
• Neo4j GraphGists - graphgists
• Neural Networks and Deep Learning
• Neural Networks and Deep Learning
• Neural Networks and Deep Learning — Chapter 4
• Neural Networks gone wild! They can sample from discrete distributions now!
• Neural Structured Learning | TensorFlow
• neural-networks-and-deep-learning/src/network.py at master · mnielsen/neural-networks-and-deep-learning
• NeurIPS 2021 Paper Checklist Guidelines
• NeurIPS 2023: Key Takeaways From Invited Talks
• New AI framework turns any laptop into a supercomputer
• New app lets civilians help shoot down drones and missiles in Ukraine | The Jerusalem Post
• New Breakthrough Brings Matrix Multiplication Closer to Ideal | Quanta Magazine
• New Data Shows Just How Badly OpenAI And Perplexity Are Screwing Over Publishers
• New Go-playing trick defeats world-class Go AI—but loses to human amateurs
• New Journal: Philosophy of AI - Daily Nous
• New Knot Theory Discovery Overturns Long-Held Mathematical Assumption
• New Math Shows When Solar Systems Become Unstable | Quanta Magazine
• New MIT Research Shows Spectacular Increase In White Collar Productivity From ChatGPT
• New Proofs Probe Soap-Film Singularities | Quanta Magazine
• New superbug-killing antibiotic discovered using AI
• New XLoader botnet uses probability theory to hide its servers
• News | SpiderOak
• Newsletter – July 2025
• Nice scientific pictures show off
• NLTK
• No Soros retreat from Europe
• No, senator, science can't do away with models
• Noam Chomsky says A.I. is far from 'true intelligence' and ChatGPT is the 'banality of evil' | Fortune
• Normalization (statistics) - Wikipedia
• Norvig vs. Chomsky and the Fight for the Future of AI
• Not in a million years: It can take far less to crack a LastPass password | 1Password
• Notation, notation, notation — a brief history of mathematical symbols
• NotebookLM's automatically generated podcasts are surprisingly effective
• Notes on the Frank-Wolfe Algorithm, Part I
• NOUS RESEARCH
• Novel insight reveals topological tangle in unexpected corner of the universe
• NOX Metals — AI-driven aluminum plate cut to size (Detroit)
• Numba vs Cython
• Numba vs. Cython: Take 2
• Numerical Recipes
• NumPy Illustrated: The Visual Guide to Numpy
• Nvidia CEO: We bet the farm on AI and no one knew it | TechCrunch
• Nvidia is preparing for the post-GPU AI era as it is reportedly recruits ASIC engineers to fend off competition from Broadcom and Marvell
• Nvidia Wants to Replace Nurses With AI for $9 an Hour
• NYPD's 'Digidog' returned, 'put down' after viral outrage
• Nyquist–Shannon sampling theorem - Wikipedia
• Nyström method - Wikipedia
• Octahedral symmetry - Wikipedia
• Odessapy2013 - Graph databases and Python
• Of Course Citizens Should Be Allowed to Kick Robots
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• Ollama Just Got 93% Faster on Mac. Here's How to Enable It.
• OmniThink: A Cognitive Framework for Enhanced Long-Form Article Generation Through Iterative Reflection and Expansion
• On writing Python one-liners.
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• One AI Tutor Per Child: Personalized learning is finally here
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• Open Source Data Science Masters
• Open source project curl is sick of users submitting "AI slop" vulnerabilities
• Open source software for Bioinformatics
• Open-Source AI Is Uniquely Dangerous
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• OpenAI CEO Sam Altman says ChatGPT would have passed for an AGI 10 years ago
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• OpenAI is throwing everything into building a fully automated researcher
• OpenAI Offers A New Policy Blueprint
• OpenAI Publishes GPT Prompt Engineering Guide
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• OpenAI says there's only a small chance ChatGPT will help create bioweapons
• OpenAI to acquire Neptune
• OpenAI to acquire Neptune
• OpenAI wasn't expecting Sora's copyright drama
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• Other Versions
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• Paramus.ai - Chemistry for AI
• Pareto Frontiers
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• PHYS771 Quantum Computing Since Democritus
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• Proven quantum advantage: Researchers cut the time for a learning task from 20 million years to 15 minutes
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• Pure
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• Python moves to remove the GIL and boost concurrency
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• Python Patterns - An Optimization Anecdote
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• Python Time Complexity Reference
• Python_for_Data_Science/simple_ml.py at master · gumption/Python_for_Data_Science
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• Random
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• Readings
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• Recreational Maths in Python - Alan Zucconi
• RecSys 2021 - Call for Contributions - RecSys
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• REINFORCEMENT LEARNING AND OPTIMAL CONTROL
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• Replica trick - Wikipedia
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• Requiem for a Great Cat
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• Restricted isometry property - Wikipedia
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• RL4HCI
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• Salesforce AI Research Proposes 'DeepTime,' A Deep Time-Index Based Model Trained Via A Meta-Learning Formulation To Automatically Learn A Representation Function From Time-Series Data
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• Sankey
• Scaling PageRank with R on Rescale - Rescale
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• scikit-learn
• SCIPE - Systematic Chain Improvement and Problem Evaluation
• SciPy Hierarchical Clustering and Dendrogram Tutorial
• scipy.optimize.fmin
• Scott Aaronson on Philosophical Progress - Machine Intelligence Research Institute
• Scott in Rio — 1st lecture
• Search Path (The C Preprocessor)
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• Self-adjoint element - Wikipedia
• Self-supervised learning is the future of AI
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• Semigroup - Wikipedia
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• Senior Developer Skills in the AI Age: Leveraging Experience for Better Results
• SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
• Set Up a Raspberry Pi as a Personal Web Server
• Setosa blog
• Seven Guiding Principles Of Mature Leadership
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• Shrinkage - Wikipedia
• Silicon Valley Bank failed because of regulators' sluggishness, Fed's Mary Daly says | CNN Business
• Silicon Valley Bank part II starts tomorrow at 6:45am | Schiff Sovereign
• Silicon Valley Bank Review – Supervisory Materials
• Silicon Valley Bank Workers Quitting Over 'Cultural Differences' After Merger
• Silicon Valley bets big on 'environments' to train AI agents | TechCrunch
• Simon Willison (@simonw) on X
• Simple and Deterministic Matrix Sketches
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• Simpson's Paradox and Deep Learning Metrics with Weightwatcher
• Simpson's Paradox and its Implications in Data Science - KDnuggets
• Simulating scientists: A new tool for AI-powered scientific discovery
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• Singular Value Decomposition Part 1: Perspectives on Linear Algebra
• Size function - Wikipedia
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• Sloppy Models
• SMOTE for Imbalanced Classification with Python - MachineLearningMastery.com
• Social media raises bank run risk, fueled Silicon Valley Bank's collapse, paper says
• Software Defines Tactics
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• Sourcegraph — Code Understanding, Oversight and Evolution
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• SpaceWeather.com — News and information about meteor showers, solar flares, auroras, and near-Earth asteroids
• Sparse approximation - Wikipedia
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• Spec-driven development: Using Markdown as a programming language when building with AI
• Special Operations Forces Require Greater Proficiency in Artificial Intelligence
• Speechify: Text to Speech & Voice Typing AI Assistant | 60M+ Users
• Spin glass - Wikipedia
• spurious correlations
• Srinivasa Ramanujan Was a Genius. Math Is Still Catching Up. | Quanta Magazine
• Stanford Director: AI Scientists' "Frontal Cortex Is Massively Underdeveloped
• Stanford Large Network Dataset Collection
• Startups should consider hiring fractional AI officers | TechCrunch
• State of AI, September 2025: A Broad Primer from an AI Team Lead in Education
• Statements From The Seventh Bipartisan Senate Forum On Artificial Intelligence
• Statistical Formulas For Programmers
• Statistical Natural Language Processing in Python
• Statistical Rethinking, Edition 2: ETA March 2020
• Statistics for Hackers
• steve yegge - the-emacs-problem
• Stochastic resonance and the benefits of noise - from ice ages to crayfish and SQUIDs
• Stock Price Prediction With Big Data and Machine Learning
• Stop talking about AI ethics. It's time to talk about power.
• Stop Writing Code, Start Writing Docs
• stronglink/SUBSTANCE.md at master · btrask/stronglink
• Study: Deep neural networks don't see the world the way we do
• Study: Machine learning a useful tool for quantum control
• Study: Mexican jumping beans use random walk strategy to find shade
• styleguide
• Successful people have more 'productive paranoia' than most, says bestselling author Jim Collins—here's how to cultivate it
• sunfish/sunfish.py at master · thomasahle/sunfish
• Super Nested Claude Code Offers Next Level Vibe Coding
• Superforecasting - The Art and Science of Prediction
• Supervised Classification | Google Earth Engine | Google for Developers
• Surrogates for Physics-based and Data-driven Modelling of Parametric Systems: Review and New Perspectives
• Survey of HPC in US Research Institutions
• SVB Financial sues US FDIC to recover $1.93B
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• Swift: Google's bet on differentiable programming
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• Symmetric matrix - Wikipedia
• Teaching with AI
• Team Aims To Use Raspberry Pi in Brown Bear Conservation Effort
• Tech companies like Google and Meta made cuts to DEI programs in 2023 after big promises in prior years
• Tech Workers Coalition
• Tech workers react to UPS drivers landing a $170,000-a-year package with a mixture of anger and admiration
• Technology Innovation Institute Open-Sourced Falcon LLMs: A New AI Model That Uses Only 75 Percent of GPT-3's Training Compute, 40 Percent of Chinchilla's, and 80 Percent of PaLM-62B's
• Temporal Graph Neural Networks for Multi-Product Time Series Forecasting
• Tensor Decompositions for Learning Latent Variable Models
• tensor-decomposition
• Tesla Autopilot gets tricked into accelerating from 35 to 85 mph with modified speed limit sign
• Test-Time Training (TTT): A New Approach to Sequence Modeling
• Texas A&M Drops "Race" from Student Risk Algorithm Following Markup Investigation – The Markup
• Text classification · fastText
• TextMate Basics Tutorial
• Thanks to AI, you don't need a computer science degree to get a job in tech, IBM AI chief says
• The 'Godfather of AI' Has a Hopeful Plan for Keeping Future AI Friendly
• The 'Useless' Perspective That Transformed Mathematics
• The //* /*/ //*/ comment toggle trick (Example)
• The 4-Page Paper That Broke Mathematics | Quanta Magazine
• The AI Agent Era Requires a New Kind of Game Theory
• The Ancient Art of the Numerati
• The Annotated Transformer
• The Archive of Interesting Code
• The author of SB 1047 introduces a new AI bill in California | TechCrunch
• The Batch | DeepLearning.AI | AI News & Insights
• The beginners guide to breaking website security with nothing more than a Pineapple
• The Benefits of an "Everything" Notebook in NotebookLM - KDnuggets
• The Big Data Brain Drain: Why Science is in Trouble
• The Capacity for Moral Self-Correction in Large Language Models
• The cesspool of the internet is to be found in a village in North Holland
• The challenges of reinforcement learning from human feedback (RLHF) - TechTalks
• The Changing Data Science And Data Engineering Tooling Environment
• The Chicago R User Group (CRUG) | Meetup
• The chore of packing just got faster and easier
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• The Corporations Devouring American Colleges
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• The Four Horsemen of the Tech Recession
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• The Goopification of AI
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• The Machine Learning Practitioner's Guide to Agentic AI Systems - MachineLearningMastery.com
• The Mathematical Hacker
• The Matrix Calculus You Need For Deep Learning
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• The Myth of Artificial Intelligence - The American Prospect
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• The Notebook Anti-Pattern - KDnuggets
• The Once And Future Fable #2
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• The Once And Future Fable #4
• The Once And Future Fable #5
• The Panopticon Is Already Here
• The pathway to Transformers
• The Pentagon says AI is speeding up its 'kill chain' | TechCrunch
• The Platform Accountability and Transparency Act, Take Two
• The power method: compute only the largest eigenvalue of a matrix
• The Python Standard Library
• The R language, for programmers
• The Reputational Risks of AI
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• The Stan Forums
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• The Work-From-Anywhere War Is Beginning
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• Thomas Edison tried to take credit for a device created by a Black American inventor
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• Three Labs With a Plan and A Memorandum
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• Through turbulent skies - how fluid dynamics experts are uncovering the secrets of bird flight
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• tinygrad
• TITARL Tutorial
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• Toolformer: Language Models Can Teach Themselves to Use Tools
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• TradingAgents: Multi-Agents LLM Financial Trading Framework
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• tslearn's documentation#
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• Tx-LLM: Supporting therapeutic development with large language models
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• Understanding Moments
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• VisualCalc
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• Workshops
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• Writing 'Python Machine Learning'
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• – while my_mcmc: gently(samples)