How to Maximize GPT-6 Astra
My first impressions of OpenAI’s new frontier model The post How to Maximize GPT-6 Astra appeared first on Towards Data…
Category: General
A Beginner’s Guide to World Models
Learn how to simulate reality with Python The post A Beginner’s Guide to World Models appeared first on Towards Data…
Introducing ShipAI
Towards Data Science launches a video showcase for real-world AI work The post Introducing ShipAI appeared first on Towards Data…
AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome
AlphaGenome Atlas maps the molecular effects of 9 billion single-letter DNA variants across the human genome.
Context Windows Don’t Know What’s Still True — I Built a Validity Layer That Does
A context window can be technically complete and still describe a world that no longer exists. I built a deterministic…
I Vibe-Coded an App in Just Two Hours (And Regretted It the Next Day)
I saved my day with a mere $52 bill. But you don’t have to repeat my mistake. The post I…
Why Most Multi-Agent Systems Fail Even When Evaluation Passes
How to catch a payload that looks correct but isn’t, using a watchdog pattern with working Python. The post Why…
Text Watermarking in Python: Catch Whoever Copies Your Writing
AI companies quietly watermark billions of words a day. Here’s how to apply the same three families of techniques to…
Linear Discriminant Analysis (LDA) in Real-Life: Dimensionality Reduction in a Real-Estate Dataset
Using LDA for dimensionality reduction in classification problems The post Linear Discriminant Analysis (LDA) in Real-Life: Dimensionality Reduction in a…
Why Transformers Need Positional Encoding For Time Series: A Visual Guide
From scalar observations to self-attention, and how positional information restores sequence order The post Why Transformers Need Positional Encoding For…
Dynamical System Transfer Learning with Reduced Order Models
Improving reinforcement learning for complex physics The post Dynamical System Transfer Learning with Reduced Order Models appeared first on Towards…
Optimal Traffic Allocation Under Heterogeneous Variant Cost
Why the default 50/50 split is the wrong move when your treatment is more expensive than your control, and how…
Disaggregation Is a Thousand-GPU Problem
Three conditions that must hold before splitting prefill from decode pays off, and why chunked prefill is the right default…
The Power BI Developer’s Survival Guide to Microsoft Fabric
Power BI Premium is gone. Microsoft Fabric took its place. Here’s what actually changed for you, what didn’t, and where…
My Model Worked Perfectly. Then I Tried to Make It Useful.
Turning a trained churn classifier into a FastAPI service that other software can actually call. The post My Model Worked…
Tables in PDFs for RAG: Don’t Flatten the Grid
Enterprise Document Intelligence [Vol.1 #B4] – A diagnostic and five composable operations, not a decision tree The post Tables in…
Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting
I built a prompt dependency graph that separates everything a component can reach from the smaller set that actually needs…
How to Solve the Right Problem in the Age of Agentic AI
A practical framework for reducing uncertainty before agents accelerate implementation The post How to Solve the Right Problem in the…
From MIT to IBM, expediting AI and quantum deployment
The experience of transitioning from research based in theory to focusing on real-world application can vary significantly for different researchers.…
Avoiding Entity Key Drift in a Data Lake: Step 2, When Fuzzy Matching Stops Working
I built a matcher meant to finish the cleanup that normalization left behind. Testing it against real data showed that…
System helps humans predict when self-driving cars will make mistakes
Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations. For instance, the car might…
Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply
A visual guide to how graph neural networks work under the hood The post Graph Neural Networks: GCN, MPNN, and…
A Practical Introduction to PySpark Window Functions
Why the standard groupBy function isn’t enough The post A Practical Introduction to PySpark Window Functions appeared first on Towards Data…
Walter Torous named executive director of MIT Center for Real Estate
Walter Torous, senior lecturer in the MIT Department of Urban Studies and Planning (DUSP) and the MIT Sloan School of Management,…
Your JSON Is Valid but Your Data Is Wrong: Five Failure Modes LLM Structured Outputs Won’t Catch
Five failure modes that survive constrained decoding, and why your schema validator will never catch them. The post Your JSON…
Beyond Point Predictions: A Practical Introduction to Bayesian Neural Networks
More informed decision-making through uncertainty quantification The post Beyond Point Predictions: A Practical Introduction to Bayesian Neural Networks appeared first…
5 AI Skills That Will Keep Data Scientists Relevant in 2027
What each one solves, and runnable code you can paste into a notebook. The post 5 AI Skills That Will…
Taking the Journey Public: A Blog, a Category, a Book, and What It Means for Small Business AI
Turning a private AI journey into a public playbook. Photo via Unsplash (Unsplash License). Hermes Journey #3 Taking the Journey…
Ila Kumar: Innovating with communities
Before Ila Kumar thinks about how to build technology, she asks a different question: What is the context that technology…
MIT Quantum Initiative launches postdoctoral fellowship program
The MIT Quantum Initiative (QMIT) has launched a new postdoctoral fellowship program to accelerate interdisciplinary quantum research and develop the next…
Your LLM Can Return Perfect JSON and Still Be Wrong
What I learned after thinking more carefully about Structured Outputs on messy, incomplete data The post Your LLM Can Return…
FAQ as RAG: When You Get to Design the Corpus
Enterprise Document Intelligence [Vol.1 #B2] – The FAQ inverts every brick of the standard RAG pipeline. Parsing is trivial, retrieval…
Why RAG Complexity Should Be Earned
A framework for building RAG pipelines that introduces complexity in response to observed failure modes, from lexical and hybrid search…
How an MIT research project became a global programming language
It all started with some exasperated emails. Back in 2009, a group of researchers began venting their frustration with the…
8 Tips for Writing Effective Agent Instructions
Quick and simple tips to help you write better agent instructions The post 8 Tips for Writing Effective Agent Instructions…
Context Engineering Is Changing. Here’s What It Means for Data Scientists
How to apply the latest context engineering guidelines to your day-to-day data science work The post Context Engineering Is Changing.…
Noisy Text in RAG: Typos, OCR, and the Gap Classical Spell-Check Leaves
Enterprise Document Intelligence [Vol.1 #B1] – Three sources of one problem. User typos, fast-typing transcription noise, OCR character errors. Classical…
4 Claude Skills Every Data Scientist Needs in 2026
Four skills worth adding to your workflow today if you don’t want to be left behind The post 4 Claude…
When to Use Claude Code and When to Use Codex
Learn where which coding agent is best The post When to Use Claude Code and When to Use Codex appeared…
RAG Is Not the Whole Toolkit: The NLP Techniques Real Problems Still Need
Enterprise Document Intelligence [Vol.1 #B00] – Retrieval answers one kind of question. Classifying a request, matching free text to a…
Human-in-the-Loop Without Killing Throughput
How we stopped reviewing every agent action and started routing human attention where it actually mattered The post Human-in-the-Loop Without…
From One Agent to a Team: Understanding Codex Subagents
A hands-on guide to defining specialist agents and coordinating their work in the Codex CLI The post From One Agent…
Connecting My LangGraph AI Agent to Postgres
How to run the backend locally with Docker or in the cloud The post Connecting My LangGraph AI Agent to…
Why Claude Code Time Estimates Are Poor
Be a better communicator with LLM programming The post Why Claude Code Time Estimates Are Poor appeared first on Towards…
Found Friday S5I7: Agents are becoming real coworkers. Now comes the control layer.
FOUND FRIDAY · SEASON 5 · ISSUE 7 Agents are becoming real coworkers. Now comes the control layer. This week’s…
The Sigmoid Function: From ‘e’ to Neural Networks
We use the equation all the time. But where did it actually come from? The post The Sigmoid Function: From…
Looking beyond natural sequences
A protein’s function is determined by its structure, and structure — the way a protein folds — is determined by…