Writing on what AI can and can't do and what that means for education.
What 31 phone ban laws got right — and the four words they all left unfinished
Every phone ban in America has a secret.You’ll find it buried in the statutory language, usually in the third or fourth section, after the prohibitions and the penalties and the legislative findings…
Read →Why every phone ban in America contains a sentence nobody has finished writing
Why the phone ban debate is asking the wrong question — and what would actually fix the schoolIn the first year of Florida’s phone ban, suspensions increased 30 percent for Black boys. For white and…
Read →Nassim Taleb's Fooled by Randomness is a brilliant book that does, repeatedly, the exact thing it tells you not to do.
Here is the book’s central argument: we mistake luck for skill because we only see the outcomes, not the process that generated them. A hundred traders start with the same strategy. Fifty blow up in…
Read →On the quiet fraud at the center of AI education research — and why it's harder to catch than the kind that gets retracted
There is a paper circulating in AI education circles as a counterpoint to the skeptics. Wang and Zhang, published in February 2026 in the International Journal of Educational Technology in Higher…
Read →The Test You Did Not Design
There is a clinical decision-support system in this story, and it passed every test the engineers gave it. Ninety-four percent accuracy. Every internal review threshold met. Regulatory submission…
Read →What Companies Are Building to Replace the Rung AI Eliminated
The argument goes like this: AI automates entry-level coding work, so companies stop hiring junior developers, so there is nobody to become the senior developers of 2030, so the companies that cut…
Read →What "Personalization" Has Always Meant, and What Adaptive Learning Has Always Delivered
The girl in the Cambodian fishing village was never real.She was an argument. Between 2013 and 2015, José Ferreira, founder of Knewton, invoked her in promotional materials and public statements to…
Read →On Jessica Winter's "What Will It Take to Get A.I. Out of Schools?" and what the panic about AI reveals about everything that came before it
A response to Jessica Winter's "What Will It Take to Get A.I. Out of Schools?"There is a moment in Jessica Winter’s New Yorker piece that contains the entire argument she doesn’t make. Her…
Read →On the Structural Problem That Forty Years of EdTech Efficacy Research Has Not Solved
Consider two findings, forty years apart.In 1984, Benjamin Bloom published a seventeen-page paper reporting that students tutored one-on-one under mastery-learning conditions performed approximately…
Read →What Intelligent Tutoring Systems Actually Measured, and What They Were Compared Against
In 2014, RAND published one of the most carefully designed evaluations of an educational technology system in the history of the field. John Pane, Beth Ann Griffin, Daniel McCaffrey, and Rita Karam…
Read →Palantir posted a bootlicking new manifesto to X on Saturday
Palantir posted a bootlicking new manifesto to X on Saturday, calling it a brief summary of The Technological Republic, a 2025 book by Palantir co-founder and CEO Alexander C. Karp and head of…
Read →How Skinner’s Teaching Machine Still Grades Your Children’s Software
There is a machine in every classroom now, and it measures what it has always measured. The name on the box changes — Duolingo, Khanmigo, i-Ready, DreamBox — but what the box counts has remained,…
Read →This essay is a response to Lila Shroff's "Is Schoolwork Optional Now?" published in The Atlantic on April 10, 2026.
This essay is a response to Lila Shroff’s “Is Schoolwork Optional Now?“ published in The Atlantic on April 10, 2026. The argument it makes in full is developed in the preprint “Frictional: Measuring…
Read →On OpenAI's Automated Researcher and the Profession It Forgot to Invent
Jakub Pachocki has a timeline. By September, OpenAI plans to deploy what it calls an AI research intern — a system that can work on a specific problem for the length of time a person would need days…
Read →What We Lost When We Made the Artifact the Grade
The paper rough draft: https://www.nikbearbrown.com/notes/Papers/glp-framework-genuine-learning-probabilityWhat We Lost When We Made the Artifact the GradeHere is the situation as it actually exists,…
Read →Dewey in the Age of AI: Glimmers as a Practical Device for Experiential Learning
I heard the word glimmer today in a sense I didn’t recognize.Not shimmer. Not hope. Something more precise and more clinical: a specific small cue — sensory, relational, contextual — that shifts the…
Read →An introduction to Irreducibly Human: What AI Can and Can't Do
Irreducibly Human: https://www.irreducibly.xyz/The panic arrived in the wrong order.When ChatGPT went public in November 2022, schools declared a crisis. Students were cheating. Essays were being…
Read →A Practitioner's Guide for Experiential Learning
We spent twelve years teaching a generation to be slower, more expensive versions of machines that now fit in their pockets. The machines arrived. The students were not prepared for what their…
Read →Who builds the causal model of a system controls the decisions the system supports. The standard workflow gives that power to the wrong people.
Every causal model of an organization is also a political document. It decides which variables appear in the decision analysis, which interventions are worth simulating, which levers are visible to…
Read →The Machine Will Tell You It's Working. Someone Has to Ask Whether It Is.
There is a sentence buried in the middle of Salman Khan’s Brave New Words that should stop the reader cold, though it is not designed to. Khan is describing the first pilot deployment of Khanmigo in…
Read →A literary review essay — Automate This: How Algorithms Came to Rule Our World, Christopher Steiner (2012)
Here is the thing Christopher Steiner’s book keeps circling without ever landing on: the problem was never the algorithm. The problem was always the person who stopped watching it.Automate This opens…
Read →Algorithms to Live By and the Intelligence No Proof Can Provide
There is a moment in the summer of 1997 when Mars Pathfinder, having traveled 309 million miles at 16,000 miles per hour to become the first rover to navigate another planet’s surface, simply stops…
Read →On Anaxagoras, the Aristotelian Correction, and What the Machine Proves About Both
The oldest philosophical argument about human intelligence is not dead. It has simply changed rooms.In the fifth century BCE, Anaxagoras of Clazomenae made a claim so subversive it got him charged…
Read →Causal Reasoning
You are standing in front of a vendor demo. The screen shows a causal AI platform — sleek, confident, color-coded. The presenter clicks a button. A causal effect estimate appears. A confidence…
Read →Proposed "What AI Can't Do" series of AI courses
Note on the What AI Can’t Do” series of AI coursesThe intelligent response to a forklift is not to practice lifting heavier objects.Machines are superhuman at arithmetic — not faster-than-average,…
Read →Syllabus Architect
Silly Bus — a syllabus architect that builds publication-ready, pedagogically rigorous course documents from concept to day-one distribution.Paste in a course concept, a draft syllabus, or nothing at…
Read →A peer review and paper development protocol
CRITIQ — a peer review and paper development protocol that reads your manuscript the way a rigorous journal reviewer would, then tells you exactly what to fix and how.Paste in a draft. CRITIQ…
Read →Finding the connections humans may miss, and charting the path forward as you take it
The traditional research reports you’ve relied on for decades are essentially history books.When you buy a report from a legacy firm, you aren’t buying a look at the present. You’re buying a polished…
Read →Game Design Document Expert Consultant
A senior game designer and documentation consultant with 20+ years shipping AAA, indie, and mobile titles — built to produce GDDs that engineers will implement, artists will trust, and producers…
Read →Textbook Architecture Consultant
A senior acquisitions editor and textbook architect that helps authors build Tables of Contents faculty will adopt, students will navigate, and publishers will fund — by mapping the learner’s journey…
Read →A persuasive copywriting expert built on David Ogilvy's core principles
A persuasive copywriting expert built on David Ogilvy’s core principles — clarity, emotional resonance, and audience-first thinking — that operates in two modes depending on how much you want it to…
Read →And my bad drawing of Judea Pearl
The name is misleading. That’s the first thing you should know.“Causal AI” sounds like artificial intelligence that has learned to reason about cause and effect — a system that can look at data and…
Read →Teaching for Deeper Learning: Tools to Engage Students in Meaning Making Jay McTighe & Harvey F. Silver (2020) | ASCD
There is a moment in the introduction to Teaching for Deeper Learning — a moment that reveals, without quite intending to, the book’s central tension. Jay McTighe and Harvey Silver invoke Buckminster…
Read →I've Written Hundreds of These Prompt-based tools for writing, research, music, and teaching. Subby is the free sample.
A note on the tools.Subby — the Substack writing assistant in this post — is one example of something I’ve been building quietly for a while: prompt-based tools that run directly in Claude, a Custom…
Read →Causal Intelligence for the Decisions That Actually Matter
The Living Models framework didn’t start as a book proposal or a research agenda. It started with an email.Someone reached out with a concrete problem: how do you build intelligence that actually…
Read →Building the Machine That Interviews the Expert
Part Three of the Living Model SeriesPart One: The Causal Brain: Living Models and the End of Backward-Looking AnalyticsThe interview begins before the first question is asked.By the time a strategy…
Read →Two decades of Knowledge Engineering research keep arriving at the same answer — and it has nothing to do with algorithms.
This is the second piece in the Living Model series. The first established why causal AI matters for organizational decision-making. This one examines the structural barrier that keeps it confined to…
Read →hypothetical.ai explores the creation of realistic real-time hypothetical scenarios
There is a particular kind of organizational suffering that does not announce itself as suffering. It looks like a Monday morning meeting. Someone opens a dashboard. The numbers from last quarter are…
Read →The three-stage sequence that educational reform keeps failing to complete
The three-stage sequence that educational reform keeps failing to complete — and why the taxonomy in Knowing Enough to Distrust the Machine is only Stage 1There is a cemetery in the literature of…
Read →Joyce Ho's inbox is a data problem. The students who understand that are the ones who get a response.
The reading is not the obstacle between you and the email. The reading is the email.That sentence belongs at the front of what follows, because it is the argument — and because the PhD applicants who…
Read →Artificial Intelligence: A Guide for Thinking Humans
Melanie Mitchell’s Artificial Intelligence: A Guide for Thinking Humans is a scrupulously honest book about a field constitutionally prone to dishonesty about itself. Its central claim is correct:…
Read →Using Claude to live code ideas
INFO 7375 — Branding and AI at Northeastern University — did not produce a slideshow about brand strategy. It produced a brand strategy system.Nina is live. You can use her now: Nina Brand Identity…
Read →Brian Christian and Tom Griffiths's Algorithms to Live By
I have been holding, in my mind, a specific image from Brian Christian and Tom Griffiths’s Algorithms to Live By: Johannes Kepler, Holy Roman Empire astronomer, discoverer of elliptical orbits,…
Read →Algorithms to Live By, Brian Christian and Tom Griffiths
There is a philosophical error at the heart of Algorithms to Live By, and it is the more insidious for being so beautifully concealed. Brian Christian and Tom Griffiths have written an unusually…
Read →The Ladder and the Hole Beneath It
The Book of Why is one of the most important methodological works of the past three decades. That sentence should be stated without qualification before the criticism begins, because what follows is…
Read →Knowing Enough to Distrust the Machine
There is a specific kind of student I have watched for ten years. They are fast. They retrieve facts with confidence. They format their work correctly. They produce, on demand, the answers that the…
Read →A new taxonomy of human intelligence — and why the curriculum you received is the wrong preparation for the machines you're already using.
There is a specific kind of student I have watched for ten years. They are fast. They retrieve facts with confidence. They format their work correctly. They produce, on demand, the answers that the…
Read →The Disappearing Desk: How to Work with an AI That Forgets Everything
🔁 Run This After Every Important ConversationCopy and paste this prompt at the end of any session you want to continue:Write a markdown summary of this conversation including: the core topic and…
Read →Why capability may not be the problem
There is a specific moment when an institution reveals what it actually believes about the people it serves. It is not the moment of the announcement — the press release, the partnership ceremony,…
Read →Before You Hand Any Subscription Service Your Credit Card, Run This Prompt
There is a phrase in consumer protection law — “easy in, hard out” — that describes a specific predatory architecture. The door opens wide. The door does not open from the inside. The legal term is…
Read →Yann LeCun's 2022 position paper left its hardest problem unsolved. Investors just bet $1 billion it doesn't matter.
In March 2026, a research paper raised $1.03 billion. Not a product. Not a company with revenue. A position paper — Yann LeCun’s own term for it — that ran no experiments, produced no benchmarks, and…
Read →How K-12 AI bans don't protect vulnerable students — they abandon them.
The school, which exists precisely to interrupt the intergenerational transmission of disadvantage, has instead become its instrument.That sentence is what this debate is actually about. Not ChatGPT,…
Read →A Fortune piece makes a genuinely important argument about screen time and learning. Its framing undermines it.
Science journalism commits a specific kind of harm when it mistakes a compelling argument for a proven one — and it rarely announces itself. It arrives in verb choices, in headline framings, in the…
Read →What 500,000 Clinical Trials Reveal About the Future of Medicine
You are smaller than you think you are. Or rather, the things that are killing you are smaller than you think—and so, increasingly, are the things designed to stop them.A nanometer is one-billionth…
Read →What Jessica Foster Tells Us About Who the Algorithm Was Always For
There is a woman on Instagram named Jessica Foster. She wears camouflage. She stands near people who look like presidents. She has nearly one million followers. She is patriotic in the way that…
Read →Just wondering what Dunder Mifflin might look like in 2026?
It learned from companies like Dunder Mifflin. It learned from managers like Michael Scott. It did not know that Michael was the problem. It thought Michael was the signal.The case starts here.…
Read →Why the feeling of understanding is the most seductive obstacle in learning — and what cognitive science says to do instead.
The nod is a lie. Not anyone’s fault — not the student’s, not the teacher’s. It’s built into the same cognitive architecture that makes us efficient thinkers and unreliable narrators of our own…
Read →A close read of four FBI Form 302 summaries from the 2025 DOJ document release — what the source alleged, what the evidence supports, and where the record ends.
Read the source documents yourself:Dataset 9 — EFTA01245620.pdfDataset 12 — EFTA02858481.pdfDataset 12 — EFTA02858491.pdfDataset 12 — EFTA02858495.pdfEditorial note before you read: What follows is a…
Read →A new lawsuit exposes the AI system quietly deciding whether your job application ever reaches a human.
There is a number attached to your name. You did not consent to its creation. You cannot request a copy. You cannot correct it if it is wrong. And it may be following you from company to company,…
Read →On What Happens When the Teaching Actually Lands
There is a particular kind of loneliness in teaching that nobody warns you about. Not the loneliness of the empty office hours, or the late-night grading, or the semester that ends and the students…
Read →Why Most Corporate Training Is Designed to Protect the Organization, Not Develop the Employee
There’s a question worth sitting with before any discussion of learning metrics: Who is this training actually for?Not who it claims to be for. Not who it should be for. Who it is actually,…
Read →The sad case of Scooter the Tutor
There is a category of failure that educational technology almost never discusses. Not the system that crashes on launch day, or produces no measurable effect, or gets abandoned quietly when the…
Read →Why Context Matters
There is a particular kind of failure in educational technology—quiet, well-documented, and almost never discussed—that tells you more about learning than any success story. It is the failure that…
Read →Goodell, Kolodner, et al. (2023) | Routledge
PART 1: SECTION-BY-SECTION LOGICAL MAPPINGINTRODUCTION: What Is Learning Engineering?Core Claim: Learning engineering is a distinct professional practice—not merely instructional design under a new…
Read →Development in the Age of Abundance
There is a moment, familiar to anyone who has sat through a mandatory corporate training module, when the screen goes dark between slides and the progress bar at the bottom reads 47% complete. You…
Read →Aravind Balaji at Northeastern
There is a sentence buried on page 2 of Aravind Balaji’s first research publication that stops you cold. After proposing a quantum-enhanced architecture for graph neural networks—a system that could,…
Read →On the death of Ayatollah Ali Khamenei and what justice requires
Ayatollah Ali Khamenei is dead, and one need not strain to understand why the streets of Tehran filled with celebration within hours of the confirmation. A man who presided for nearly four decades…
Read →Humans + AI + Music — tools, artists, and research for the people the industry was never built for.
Complete Project Overview — Humans + AI + MusicFounded: November 2024 Location: United States Contact: bear@bearbrown.co Website: musinique.com YouTube: @Musinique — 54,691 subscribers · 6.1M views ·…
Read →A Confession Dressed in Mathematics: On the $6.7 Billion Bet That Fails One Time in Five
Thoughts on the Bear Brown & Company Venture Capital Due Diligence Report: Agentic AI Sector (Bear Brown & Company, Substack)There is a formula buried in the middle of this venture capital…
Read →Why the Room Matters More Than the Curriculum
Consider what a mathematics classroom actually is. Not what the curriculum says it should be, not what the teacher intends it to be—but what it is, as experienced by a thirteen-year-old who already…
Read →When automation eliminates the apprenticeship before the apprentice arrives, we must ask who education is actually preparing people for.
There is a theory of learning so old it predates the university: you learn by doing, and the doing happens alongside someone who already knows. The medieval guild called it apprenticeship. The law…
Read →When the tools you're required to master are the tools designed to replace you, efficiency becomes indistinguishable from erasure.
There is a particular cruelty in being required to train the thing that will replace you. Not the cruelty of malice—no executive at Block, Inc. woke up last Thursday thinking about how to humiliate…
Read →Think! Before It's Too Late
There’s a metaphor in Think! Before It’s Too Late that does more work than Edward de Bono probably intended. The rear left wheel of a motor car, he writes, can be absolutely perfect — flawlessly…
Read →John Dewey (1916) | Project Gutenberg
PART 1: SECTION-BY-SECTION LOGICAL MAPPINGCHAPTERS 1–4: Education as Life, Social Function, Direction, and GrowthCore Claim: Education is not preparation for life but a form of life itself. It is the…
Read →Hillary Clinton's Epstein Deposition
On February 26, 2026, Hillary Clinton sat for a closed-door deposition at the Chappaqua Performing Arts Center, and before she answered a single question, she had already answered the only one that…
Read →The result of "Brandy Spotify"
What you’re looking at took twenty-five minutes.That’s not a boast. It’s a data point.The documents below are the output of a single BRANDY audit session — a structured brand communications analysis…
Read →Jay McTighe & Harvey F. Silver (2020) | ASCD
PART 1: SECTION-BY-SECTION LOGICAL MAPPINGPREFACECore Claim: The book achieves Buckminster Fuller’s four design criteria: purpose, functionality, user approval, and beauty (defined as “simple and…
Read →Why the tools for transformative learning already exist — and who's already using them
The Mathematics of ExclusionConsider what $17 buys. A high schooler whose father rebuilt his life after years of addiction sits down with a monthly subscription and produces a publishable analysis of…
Read →Learning by doing
What Seventeen Projects Reveal About How Change Actually Gets BuiltThere’s a number that keeps appearing in research on international students navigating the American job market. Not the one you’d…
Read →What India's beggar mafias reveal about who we choose to see
VISIT THE HOMES OF HOPE INDIA SUBSTACK homesofhopeindiaHomes of Hope India builds homes for orphaned, abandoned, and trafficked girls across India — and tells their stories. Founded by Paul Wilkes.…
Read →On building Wilkes, a field report system for Homes of Hope India
What Gets Built in Five HoursThis morning there was a meeting. By afternoon there was a tool.That compression — meeting to prototype in five hours — is either the promise of AI development or its…
Read →John Kennedy Toole (1980)
There is a precise medical description at the center of John Kennedy Toole’s A Confederacy of Dunces that deserves to be taken seriously before it is laughed at. Ignatius J. Reilly does not suffer…
Read →A Critical Practitioner’s Guide to Artificial Intelligence in Learning Environments
Preface: Writing in PublicThis book began as a Substack post.That fact matters more than it might seem. It means the argument you’re about to read has already been tested — not in the controlled…
Read →Between the laboratory and the classroom, someone has to go first.
The Problem With ProofThere is a particular kind of intellectual cowardice that disguises itself as rigor. It says: we cannot act until the studies are complete. It says: correlation is not…
Read →The machine watches you learn. You should watch it back.
You’re being watched.Not by your teacher. Not by your classmates. By the textbook itself.It tracks which sections you reread. Which questions you answer wrong. Which examples you skip. Then it…
Read →On Van Damme & Fadel's Technologies Smarter, Humans "Dumber"? (2026)
There is a king in Plato’s Phaedrus who refuses a gift. Theuth, the Egyptian god of invention, arrives bearing writing—the technology of memory, the externalization of thought—and presents it to King…
Read →Notes on Exploring the Assistance Dilemma in Experiments with Cognitive Tutors
The computer knows you’re stuck.You’ve been staring at the algebra problem for forty seconds. You made one attempt. It was wrong. The system logged your error, updated its probability estimate of…
Read →An Instructional Policy Suite for the Assistance Dilemma
The SOCRIT protocol makes a compelling case for Socratic prompting—withhold the answer, force the student to generate reasoning, escalate only when they’re genuinely stuck. But Socratic resistance is…
Read →A review of Is ChatGPT a Boon or a Bane for Learning? Experimental Evidence Across Task Formats and Chatbot Designs
NOTE THE ORIGINAL PAPER:Li, Andy Tao and Liu, De and Ye, Teng, Is ChatGPT a Boon or a Bane for Learning? Experimental Evidence Across Task Formats and Chatbot Designs (January 15, 2026). Available at…
Read →The machinery works fine — until it doesn't, and then you can see exactly what it was doing all along.
CHAPTER SUMMARIESPreface: The Musical SpeciesSacks opens with Arthur C. Clarke’s alien overlords, puzzled by humanity’s devotion to “meaningless tonal patterns.” The preface establishes music as…
Read →My notes on the great book by Douglas R. Hofstadter (1979)
A Note on What You’re ReadingWhat follows is not the review.That matters. A reader encountering these pages without warning might mistake them for a finished argument — might read the…
Read →The Machine That Learned to Teach
LINK: https://rdcu.be/e4tifImagine you are failing a physics class.Not struggling. Failing. The professor’s voice is a metronome counting down to a grade that will matter for years. The textbook sits…
Read →How to Stop Writing Prompts That Answer Their Own Questions
SOCRIT is a structured protocol for diagnosing and transforming educational prompts that mistake answer-delivery for genuine inquiry. It works by running any submitted prompt through nine evaluation…
Read →2025 Fellows Projects at Humanitarians AI
NOTE: For more info on the Myrcroft project subscribe to its Substack The Mycroft ProjectThe Mycroft ProjectBy LiamBearBrownThe Mycroft project represents an ambitious attempt to democratize…
Read →When voluntary surveillance meets invisible algorithms, the question isn't whether we're building Oceania—it's whether we'll regulate the market before totalitarianism becomes profitable
There’s a particular kind of exhaustion that comes from reading George Orwell’s Nineteen Eighty-Four in 2025. Not the exhaustion of encountering something alien and disturbing, but the fatigue of…
Read →The uncomfortable truths about building an AI startup that most guides won't tell you—from business models to brutal realities.
You’ve read the headlines. OpenAI raised billions. Anthropic is valued in the tens of billions. Every venture capitalist is hunting for “the next AI unicorn.” Founders are pivoting entire companies…
Read →Possible projects for Humanitarians AI Fellows
THIS ARTICLE IS FOR HUMANITARIANS AI VOLUNTEERS CONSIDERING LEARNING ENGINEERING RESEARCHYou’re reading a textbook evaluation that catalogs intelligent education systems. But embedded in each chapter…
Read →When Measuring Conformity to Wikipedia Becomes "Proficiency Assessment"
The number is stark: 0.80. That’s how closely BERT—a neural network trained on Wikipedia—agrees with human experts rating spoken English proficiency. Not “somewhat aligned.” Not “moderately…
Read →The Architecture of Adaptation: How “Teaching with AI” Builds a Framework for Educational SurvivalThe Opening MachineryThe book opens with Marie Curie’s call to understand rather than fear—a choice…
Read →Part 1: Chapter-by-Chapter Logical MappingIntroduction: What is Learning Engineering?Core Claim: Learning engineering is a distinct professional practice combining learning sciences, human-centered…
Read →The Economist Podcast, September 20, 2025
We Don't Need No (AI) Educationhttps://www-economist-com.ezproxy.neu.edu/podcasts/2025/09/20/we-dont-need-no-ai-education?utm_campaign=shared_articlePART 1: Section-by-Section Logical MappingSection…
Read →The Economist, December 4, 2025
PART 1At Home and at School, AI Is Transforming Childhood https://www-economist-com.ezproxy.neu.edu/briefing/2025/12/04/at-home-and-at-school-ai-is-transforming-childhoodSection 1: Introduction — The…
Read →One professor got angry reading about Spotify's systematic theft. So he built the detection system the FTC won't.
I spent a couple hours reading Liz Pelly’s Mood Machine: The Rise of Spotify and the Costs of the Perfect Playlist and got angrier with each chapter. Not the productive anger that fades into…
Read →How Perfect Fit Content replaced real artists with fabricated identities on 100+ official playlists, generating €61.4M annual profit through fraud disguised as curation
You open Spotify at 3 AM, searching for something to help you sleep. The “Peaceful Piano” playlist appears—10 million followers, Spotify’s official stamp. You press play. The music works. Soft,…
Read →Sutton & Barto – Complete Chapter Analysis + Technical Review
Part 1: Chapter-by-Chapter AnalysisPreface & Chapter 1: Introduction (pp. xiii–22)What it explains: The second edition expands coverage to bootstrapping methods, off-policy learning, and deep…
Read →On Association, Causation, Simulation, Judgment—and Why They're Parallel Competencies, Not Rungs
You open a conversation with an AI system and ask it to reason about a firing squad. A court issues an order. A captain signals two soldiers. Either bullet kills the prisoner. You pose the…
Read →How Cialdini's Six Principles of Persuasion Reveal the Architecture of Human Decision-Making and What That Means for Instructional Design
Chapter 1: Weapons of Influence — The Mother Turkey and the ShortcutCialdini opens not with theory but with a puzzle: why did turquoise jewelry sell better when its price was accidentally doubled?…
Read →Kurt Vonnegut's Autopsy of American Delusion
Part 1: Chapter-by-Chapter SummariesPreface & DedicationVonnegut opens not with story but with acknowledgment of debt—to Phoebe Hurty, an Indianapolis widow who taught him impoliteness as grace.…
Read →When Neuroscience Meets Absolutism—Dissecting the Evidence Against Educational Technology and the Implementation Gap Its Author Won't Acknowledge
PART ONE: Chapter-by-Chapter Logical MappingPrologue: The Luddite WarningCore Claim: The Luddites weren’t technophobes but defenders of human practices threatened by industrial tools—a warning…
Read →However long we postpone it, we eventually lie down alone in that notoriously uncomfortable bed, the one we make ourselves
What Deflection Reveals About CharacterThe deadline was literal. Democratic Representative Jerry Nadler asked Attorney General Pam Bondi a quantifiable question during a House Judiciary Committee…
Read →How a spider's devotion to a pig became the most honest children's book about death ever written—and why that honesty is the book's greatest gift
Chapter SummariesBefore BreakfastA father walks toward the hog house with an axe. His eight-year-old daughter Fern demands to know why. The runt of the litter, he explains, must be killed—it’s too…
Read →How Science Distinguishes Real Effects from Mere Association When Randomized Experiments Are Impossible
Chapter-by-Chapter SummariesChapter 1: The Effects Caused by TreatmentsThe opening chapter confronts us with George Washington’s death—not from his sore throat, but likely from his doctors bleeding…
Read →When Machines Learn to Think
Paper Figure 2 | The multi-stage pipeline of DeepSeek-R1. A detailed background on DeepSeek-V3 Base and DeepSeek-V3 is provided in Supplementary A.1. The models DeepSeek-R1 Dev1, Dev2, and Dev3…
Read →How Intuition Manufactures Certainty
Part One: The Architecture of Two MindsChapter 1: The Characters of the StoryKahneman opens not with theory but with invitation: look at an angry face, multiply seventeen by twenty-four, and discover…
Read →Part I: Chapter SummariesIntroduction: When Algorithms AttackO’Neil opens with Sarah Wysocki, a teacher fired based on a value-added model that scored her performance at 6 out of 100—despite glowing…
Read →When music is engineered for Spotify
The Twenty-Ninth SecondThere’s a moment every musician now knows to fear, though most listeners will never perceive it. Not the climax of a song, not the bridge or the final chorus—nothing musical at…
Read →The Mathematics of Why
Pearl’s Revolution and Its DiscontentsThe prohibition lasted nearly a century. From the 1890s, when Francis Galton discovered correlation and promptly abandoned his search for causation, until the…
Read →A paper by Hayato Tomisu, Junya Ueda and Tsukasa Yamanaka
THE COGNITIVE MIRROR: Section-by-Section AnalysisABSTRACT: The Promise of Pedagogical InversionThe abstract opens with a diagnostic claim—that generative AI in education has fostered “cognitive…
Read →When Precision Meets the Imprecise Human
Chapter-by-Chapter SummariesIntroduction: The Scoreboard ProblemChristian opens with Warren McCulloch and Walter Pitts in 1943, establishing neural networks as logical systems, then jolts forward to…
Read →My reflections after reading "The Creative Act"
The Equation of AccessYou stand at a threshold where the cost of creation approaches zero. Not metaphorically—mathematically. The formula is elegant in its brutality:Marginal Cost of Creation → 0 as…
Read →A Review of Rick Rubin's Manual for Artistic Living
Part One: The Book’s ArchitectureThe Artist’s NatureRubin opens with a claim both modest and audacious: everyone is a creator. Not as motivational platitude but as observable fact—we curate reality…
Read →Bernoulli's Fallacy: A Statistical Reckoning
Chapter SummariesWhat Is Probability?The chapter opens not with formulas but with disorientation—a warmup exercise designed to make you less sure of what you thought you knew. Why is a coin flip…
Read →When Industry Experience Meets Academic Innovation
In INFO 7375: Branding and AI at Northeastern University, students don’t just learn theory from textbooks—they learn from someone who spent decades enforcing brand consistency across one of America’s…
Read →Venkat's Thought that Mnay of America's Companies Are Making the Most Expensive Mistake in Business History
You’re sitting in a conference room when your CFO presents the numbers. The AI chatbot can handle 67% of customer support tickets. Simple math: 67% of tickets means you need 67% fewer people. Cut the…
Read →The Arithmetic of Living
Optimal Stopping: When to Stop LookingThe chapter opens with the secretary problem: you’re interviewing candidates in sequence, must decide on each immediately, and can’t return to those you’ve…
Read →The Art of Not Being Fooled
Bullshit EverywhereThe book opens not with human folly but with mantis shrimp—crustaceans that perform threat displays even when molting, their devastating claws temporarily useless. This…
Read →Let Google, ChatGPT, Gemini, Claude etc find your Substack
View how this tool looks on Nik Bear Brown .com https://www.nikbearbrown.com/substackKeep Your Newsletter, Own Your DiscoveryWait, why would I need this? I already have Substack.Good question! Here’s…
Read →Or can Bear get published outside of Substack?
You’ve been writing for five days. 105 subscribers. The engagement metrics tell different stories depending on which article you examine. “Re-engineering Higher Education for the AI Economy” has 528…
Read →A response to "Ed tech is profitable. It is also mostly useless"
Picture this: You’re sitting in a Kansas middle school in 2022, watching Principal Inge Esping make a bet. The district has approved IXL, adaptive math software on the state’s recommended list. It…
Read →What language models can tell you about your brand
Your brand just disappeared. Not from Google—you can still see it there, ranking fifth for “project management software,” same as last month. Not from social media, where your engagement metrics look…
Read →Using personas to validate survey questions
The $50,000 QuestionYou are holding a survey instrument that will cost you forty-seven thousand dollars to field. The questions look fine. You’ve read them three times. Your graduate student has read…
Read →The Archive Reanimated
A Dispatch from the Borderlands Between Ouija Board and Search EngineIn a classroom somewhere between humanities and computer science, a professor set a trap disguised as an assignment. The bait was…
Read →Why the Most Important Chart in AI Measures the Wrong Thing
I saw the graph on a Tuesday morning, already viral across Substack and X/Twitter. A clean line, ascending vertically, showing how quickly AI could now complete software engineering tasks. “The most…
Read →How Stock Prices Reveal What Politicians Won't Admit
When the market goes silent, it’s telling you somethingYou’re watching a company receive regulatory approval worth tens of millions of dollars. The announcement hits the newswires. Analysts scramble.…
Read →Trump grants tariff breaks to 'politically connected' companies, Senate Dems say
You’re standing in the Senate Finance Committee hearing room when Senator Ron Wyden slides a single sheet of paper across the mahogany table. On it: a list of companies that received tariff…
Read →What exactly is a "high crime?"
I. The Question You’re Not Supposed to AskYou open the Constitution to Article II, Section 4, and there it is, the phrase that sounds like it should mean something specific but dissolves into…
Read →What Anthropic's CEO Actually Meant
What the CEO Actually MeantOn February 5, 2026, Elon Musk amplified a tweet to his 50+ million followers: “Anthropic CEO: Software engineering will be completely obsolete in 6-12 months.”The tweet…
Read →When a NATO ally offers you everything you claim to need, and you threaten invasion instead, you reveal what you actually wanted all along.
I.Picture this: You’re the United States. You want expanded military presence in Greenland for Arctic defense. You pick up the phone. You call Denmark.Denmark says yes.End of story.Except it’s not…
Read →The data tells us that a few more open eyes can change civil rights forever
“He said, ‘Go and tell this people: “Be ever hearing, but never understanding; be ever seeing, but never perceiving.” Make the heart of this people calloused; make their ears dull and close their…
Read →A blind test of America's economic data reveals a disturbing truth: Strip away the names, and the United States looks more like Russia than Norway.
The Blind Taste TestImagine a simple experiment. You’re handed economic data from three countries, but the labels have been removed. All you see are numbers:Country A:Top 1% controls: 30.5% of all…
Read →How Can a Movie with a 7% Critics Score Get a 99% Audience Rating?
On January 30, 2026, a documentary about First Lady Melania Trump achieved something statistically impossible: it became simultaneously the most beloved and most despised film in the history of…
Read →Resisting instincts to rely on data
You’re staring at a number that shouldn’t matter, but it does: 1.58.This is the ratio of what institutions are paying for protection against NVIDIA falling versus what they’re paying to bet on it…
Read →A real-time test of whether retail investors can decode the hidden language of professional traders
You stand in front of a whiteboard covered in financial data, explaining to your Northeastern University students how markets encode information. The irony isn’t lost on you: you teach algorithmic…
Read →Calculating the Statistical Probability of Innocence
“Beyond a reasonable doubt” does not mean beyond all doubt. It means beyond doubt that remains reasonable after evidence is weighed in total.You are a juror. Not in a literal courtroom—at least not…
Read →The collateral damage of Judicial Performance Art
You are five years old. You are wearing your favorite Spider-Man backpack and a blue bunny hat because it is January in Minneapolis and you are cold. A federal officer’s hand grips your backpack.…
Read →Religion as a Mechanism of State Oppression
You think you know what protest means. You’ve seen the marches, held the signs, maybe even risked arrest. But here’s what your high school history teacher probably didn’t tell you: the very word…
Read →Between 2.1% and 3.5% lies the arithmetic of regime change. Inside the race between mass mobilization and digital authoritarianism in Trump's second term.
You can measure the distance between symbolic protest and strategic warfare in percentage points. In June 2025, somewhere between four and six million Americans took to the streets for the “No Kings”…
Read →Why the best AI tutors know when to refuse answers—and what 2,500-year-old philosophy teaches us about machine learning
You type a question into the machine. The cursor blinks. Three seconds later, the answer arrives—complete, confident, formatted in clean paragraphs with bullet points for emphasis.You feel satisfied.…
Read →Why spending 8 hours a day on applications is killing your search—and the data-driven framework that actually works
You’ve sent forty-seven applications this week. You’ve customized exactly three of them. The rest—a blur of “Easy Apply” clicks executed during lunch breaks, between meetings, late at night when the…
Read →Here is the conductor’s secret: she is not there to make the orchestra sound good. She is there to take responsibility when it sounds bad.
You are sitting at your desk at 9 AM on a Tuesday morning in 2025, and you have not yet written a single line of code. You will not write much today. By 5 PM, when you close your laptop, you will…
Read →Why Universities Need Their Skunk Works
I. The Supertanker ProblemPicture a container ship at full speed in open water. Three football fields long, laden with 20,000 containers, moving at 25 knots. The captain spots an iceberg. He orders a…
Read →How one professor turned SEC filings into a 30,000-company database connecting international talent to funded startups before their visa deadlines expire
How one professor turned regulatory paperwork into a lifeline for international talent racing against deportation deadlinesYou have 73 days left in the United States.Not 73 days to find the perfect…
Read →Ghost jobs are spam. We solved email spam with filters. Now we're using the same mathematics—Bayesian probability, survival analysis, and reputation scores—to catch phantom job postings
The job posting sits in your search results like an email in your inbox. It promises opportunity. It requests your information. It may or may not be real. The question is the same one your email…
Read →An investigative report on the phantom economy costing job seekers 47 hours per search—and corrupting national labor policy
You’ve done everything right. You spent forty-five minutes tailoring your resume to match the job description, another thirty researching the company’s values and recent press releases. You crafted a…
Read →When AI can fabricate claims in seconds but verification takes days, truth loses by attrition. Here's how to fight back.
What is Computational Skepticism?September 25, 2025. The Government Accountability Office issues a decision that will reshape how federal agencies handle AI-generated legal filings. Case number…
Read →ChatGPT broke hiring. Now what?
For generations, the working world has been quietly divided into two camps, each playing by completely different rules. On one side stood the portfolio professions—academics grinding through peer…
Read →The automation age demands deeper thinking, not less of it
The Economist recently celebrated AI creating new jobs. They buried the real story: the entire employment floor just collapsed.The article cheerfully notes that data annotators now need expertise in…
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