I Broke a Browser Agent on Purpose. Spotting the Fault Was Not the Same as Fixing It
I replayed correct model decisions through four broken browser actions. A simple page check missed half of the wrong clicks, and raised a false alarm on every click that worked inside an embedded page.
The post I Broke a Browser Agent on Purpose. Spotting the Fault Was Not the Same as Fixing It appe...
GPT-6.1 Terra: An Economical Model with Flagship Performance
GPT-6.1 Terra is designed for coding and practical work, but how well does it handle tasks beyond writing code? From spreadsheets and presentations to calendar files, these jobs require more than a convincing response. The output needs to be accurate, editable, and useful after the conversation ends...
Google Gemini Omni: What It Actually Does, What It Costs, and How It Compares
Gemini Omni is a member of Google's Gemini generative model family, built specifically to create output from any combination of input types, starting with video.
Opening the Box: Can Machine Learning Resolve Schrödinger’s Cat?
Neural networks won’t settle the measurement problem — but they are quietly changing how we see, predict and protect quantum superpositions.
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Building Your First AI Agent in Python with the OpenAI Agents SDK
Build your first AI agent in Python with the OpenAI Agents SDK, adding web search, Python tools, conversation memory, and tracing in a simple end-to-end workflow.
In this article, you will learn how to build a robust JSON serialization pipeline in Python that handles custom data types, graceful error recovery, and...
LLM Inference Explained: How Models Generate Responses Faster
You type a question into ChatGPT or Claude. For a split second, nothing happens. Then the answer starts flowing, word by word. That brief pause and the steady stream that follows are two very different jobs happening on a GPU. Understanding them is the key to building AI apps that feel instant, serv...
Robust Estimation Series: Building Accurate Curves with Polynomials and Splines With Spurious Data
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Skewness and Kurtosis: From Moments to Machine Learning
The mathematics, intuition, interpretation, and practical use of higher-order moments.
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Access powerful open-source and proprietary models through OpenCode Zen, Gemini’s free quota, Kilo Gateway, Cline Provider, and Charm Hyper without paying for API access upfront.
Your Six AI Models Are Really Two: The Math of Correlated Mistakes
Ask several models the same question, take a vote, and you get fewer independent opinions than you paid for. One formula says how many, and I checked it on six open models and 1,500 exam questions.
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Does Agentic RAG Actually Retrieve Better Evidence? I Tested It on 298 Questions
I let an AI agent search again whenever it chose. It found some papers plain search had missed, lost some plain search had found, and gained too little to trust.
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Raman Spectra Preprocessing and Non-Negative Least Squares Modelling in Python: Monitoring Zeolite Crystallization
A short, reproducible tutorial on spectral unmixing using real in situ interzeolite conversion data
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Build AI Employees in Python That Work While You Sleep
It’s Friday, 8 a.m. Your weekly tech newsletter is drafted, fact-checked and waiting for one click of approval. You didn’t write it. You were asleep. Three AI employees did. A researcher found the week’s best links. A writer turned them into a draft. An editor caught the writer inventing a statistic...
Same Answer, Different Reason: What a Reasoning Model Says When It Follows a Planted Hint
I put wrong answers in front of 200 exam questions and read what a small model’s reasoning said when it fell for them.
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Google Open-Sources Harness²: Self-Improving AI Agents Without Retraining
Google's Harness² lets AI agents improve their prompts, tools, memory, and scripts through two recursive loops without touching model weights. Learn more, including how to run the free demo yourself.
Could On-Policy Self-Distillation Revolutionize Post-Training?
Teaching foundation models new skills without breaking them is hard. A new reinforcement learning-based approach might have the power to change that.
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Decision Models in Action: Build a Hybrid LLM Workflow
A hands-on guide to building browser automation by combining decision models with LLMs.
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Tired of juggling multiple software subscriptions for editing images, managing projects, signing documents, and more? Open-source alternatives offer a refreshing way to get things done without piling up recurring bills. Many provide powerful features, greater flexibility, and more control over your ...
Grid puzzles that people solve almost perfectly show where language and vision models still break
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I Built a Pipeline to Track the Job Market I'm Trying to Break Into.
Building an incremental pipeline with dbt snapshots, and the API that quietly lied to me along the way.
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