How to Make Your First World Model from Scratch
A beginner-friendly guide to building a world model in Python, letting it daydream its way through CartPole, and accurately measuring…
Category: General
Poitras Center to fuel early careers of 50 young scientists dedicated to psychiatric disorders research
Patricia and James Poitras ’63, longtime MIT supporters, have launched a fellowship program for graduate students and postdocs studying major…
Break Your Own RAG Pipeline Before Users Do
A small adversarial test set that catches the retrieval failures your evaluation set never will The post Break Your Own…
Build a Speaker-Recognition App with Claude Code
Learn how to effectively code up an internal tool using Claude code or Codex The post Build a Speaker-Recognition App…
4 Ways to Use AI on a PhD Thesis
Finding citations, consolidating code, fact-checking and preparing for the defence The post 4 Ways to Use AI on a PhD…
A New Kind of Model for AI Decision-Making?
Exploring TypeSafe’s Jev and comparing it with OpenAI on intent classification The post A New Kind of Model for AI…
GPT-6 Astra Just Hit OpenAI’s Highest Cybersecurity Risk Level
Why this matters less for what Astra can do and more for what every other model hasn’t been tested for…
Google Offered $10M for a Dying Airline’s Data. How Can You Value Yours?
How to put a dollar value on your organization’s operational data The post Google Offered $10M for a Dying Airline’s…
GraphRAG: A Practitioner’s Guide to 6 Advanced Architectural Patterns
Beyond basic graph retrieval: six production-oriented architectures for combining semantic search, knowledge graphs, and LLM reasoning. The post GraphRAG: A…
CBAM Paper Walkthrough: The Double-Attention Mechanism
Understanding and implementing CBAM (Convolutional Block Attention Module) from scratch with PyTorch The post CBAM Paper Walkthrough: The Double-Attention Mechanism appeared…
One Vendor, Four Spellings: How Deterministic Stages Beat Similarity Scores
Deduplicating a 10,000-row supplier list in Python, where the hard part is deciding what a similarity score of 91 means…
AI Made Me 5x Faster. It Also Made Me 5x Worse at My Job.
One near miss, four months of running agents, and the question almost nobody is asking: what are you supposed to…
A new chapter for MIT Reads
As it marks its 10-year anniversary, MIT Reads is being reimagined for the age of artificial intelligence. Recognizing the need to…
Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them
How to verify your app aligns with your intent without ever reading a line of generated code. The post Coding…
We Pinned Our Model Version to Stay Safe. The Provider Deprecated It Anyway.
The recurring cost of production AI is not inference. It is re-qualification: the eval reruns, prompt retuning, and regression testing…
Starting a Career in Data Science in the Age of AI
How do you set yourself up for a career that will stand the test of time when things are changing…
Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer
Multi-agent coding systems don’t necessarily fail because agents can’t communicate. They can fail because important commitments made in conversation have…
Building a Data Lakehouse with DuckDB and DuckLake
Starting with a local Parquet file, then joining it to data stored in the cloud The post Building a Data…
How I Built a Multi-Agent System for Interrupted Time Series Analysis (ITSA)
What it takes to turn counterfactual analysis into an AI product The post How I Built a Multi-Agent System for…
Why You Think Like a Bayesian but Were Taught Like a Frequentist
From a chocolate bar with no price tag to a marketing mix model in PyMC, and the 200-year-old integral that…
When Does Graph RAG Actually Add Value? A Hands-On Experiment
I built four AI retrieval architectures on a laptop and benchmarked them against the same set of documents and questions.…
How to Make Linear Regression Survive Outliers
Robust Estimation Series: comparing classical and modern robust estimators through theory, code, and experiments The post How to Make Linear…
New AI technique could make minimally invasive surgeries safer and more precise
Researchers created a new technique that accurately and rapidly matches X-rays captured during surgery with a patient’s preoperative 3D medical…
Silent Broadcasting Can Ruin Your Model
PyTorch and TensorFlow tensor broadcasting: how silent shape errors cause difficult-to-debug machine learning bugs The post Silent Broadcasting Can Ruin…
The KV Cache Tax: Why Inference Servers Run Out of Memory Before Compute
A VRAM budget formula for LLM serving, and three optimization strategies mapped to the traffic patterns that trigger the OOM.…
Measure by measure, studying society accurately
Let’s agree at the outset the world is a complicated place, and social scientists have exacting jobs when it comes…
Reparameterization Tricks: Variance Reduction by Smarter Gradients
How moving randomness outside the computation graph turns noisy gradient estimators into low-variance, differentiable ones The post Reparameterization Tricks: Variance…
How to Build Consistent Designs with Claude Code
Keep your apps looking professional with Claude Code design skills The post How to Build Consistent Designs with Claude Code…
Seizing the Moment: The Hidden Silhouette of Data
How statistical moments connect the mean, the variance, and higher powers of a distribution The post Seizing the Moment: The…
How Many Labeled Examples Does a Text Classifier Actually Need? I Measured It.
Before reaching for an LLM API on every classification problem, it’s worth knowing what a decades-old baseline can already do…
Your Model’s MSE Is Lying to You
First in a series on probabilistic forecasting for physical signals. Next: what happens when you roll the forecast forward more…
Graph Engineering for AI Agents: From Prompts and Loops to Workflows
A viral debate over loops versus graphs points to a bigger shift in how we build AI systems. Here’s what…
From Static to Dynamic Skills: A Different Model for Agent Knowledge
Why the skill-inflation panic is aimed at the wrong thing, and what it costs to make agent knowledge a build…
New method enables AI for safety-critical situations
MIT researchers have developed a new technique that helps generative artificial intelligence models find solutions to high-stakes problems. In these…
Your Model Isn’t Done Until Someone Else Can Call It
Building a FastAPI endpoint for churn prediction, and everything that broke between “it runs” and “it’s live The post Your…
Your AI Adoption Lift Is a Selection Effect
A practitioner’s guide to estimating what an opt-in AI feature actually did, when nobody randomized it. The post Your AI…
One Capital Letter Was Silently Breaking My AI Support Bot, and It Wasn’t in the New Model
A real Weave project that regression-tests three OpenAI models against the exact reply format your app depends on. The post…
Stop Managing Alarms: An Incident-First Blueprint for Telecom AIOps
What large operators can teach us about turning alert fatigue into faster, safer service assurance The post Stop Managing Alarms:…
Coding Agents Don’t Need Longer History — They Need Intent Continuity
I built a system that automatically discovers, verifies, and applies relevant requirements from earlier interactions without asking the user where…
Lifesaving Lincoln Laboratory device wins 2026 Excellence in Technology Transfer Award
The Federal Laboratory Consortium (FLC) selected AI-GUIDE, a medical device developed by MIT Lincoln Laboratory and Massachusetts General Hospital (MGH),…
Found Friday S5I8: The AI coworker era needs a control layer
FOUND FRIDAY · SEASON 5 · ISSUE 8 The AI coworker era needs a control layer. Models are getting better…
The 95% Illusion: Why Your Confidence Interval Isn’t What You Think It Is
Frequentist confidence intervals and Bayesian credible intervals answer different questions, and confusing them can distort product decisions The post The…
Demystifying Anthropic’s J-Space: A Mathematical Primer
Clarifying the math behind Anthropic’s representation workspace The post Demystifying Anthropic’s J-Space: A Mathematical Primer appeared first on Towards Data…
How to 5x Your Communication Effectiveness with Claude Code
Better understand the intent of your coding agents The post How to 5x Your Communication Effectiveness with Claude Code appeared…
Optimizing LLM Inference Costs in Multi-Agent Systems with Adaptive Model Routing
Moving from static model assignment to intelligent, task-level LLM selection. The post Optimizing LLM Inference Costs in Multi-Agent Systems with…
MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines
This summer, the MIT Schwarzman College of Computing welcomed faculty from colleges and universities across Greater Boston, South Carolina, West…
Getting started with dbt
A practical guide to building, testing, and documenting SQL transformations The post Getting started with dbt appeared first on Towards Data…
When One Process Becomes Too Much: Splitting a Pipeline into MCP Services
How we split a tightly coupled Python pipeline into independently deployable services The post When One Process Becomes Too Much:…
10 Statistical Traps We Often Overlook
Statistical thinking beyond formulas The post 10 Statistical Traps We Often Overlook appeared first on Towards Data Science.