ContentsWith FIFA set to kick off on Thursday, June 11, 2026, the opening match at the Mexico City Stadium, I think it would be fun to build the best ML model we can to predict match outcomes. To do this, I have brought together several databases—49,000 matches—with data on Elo ratings, match results, and cup …
Contents# Introduction# Measuring Calibration# Why LLMs Complicate the Standard Setup# Applying Temperature Scaling# Applying Platt Scaling# Applying Isotonic Regression# What the Literature Leaves Open# Conclusion # Introduction A model that says it is 90% confident should be right 90% of the time. When that relationship breaks down, you get a miscalibration problem. The model’s scores stop telling you anything useful about reliability. For …
3.5 Flash: agentic tasks at scale This balance of speed and performance makes 3.5 Flash ideal for tackling long-horizon agentic tasks. What used to take a developer days or an auditor weeks, 3.5 Flash can now help complete in a fraction of the time, often at less than half the cost of other frontier models. …
. The functions had grown too long and the variable names made no sense anymore. Every time I wanted feedback on a file, I stopped, opened the chat, copied the whole thing in, and waited. Then went back to the editor, applied the change, opened the next file, and did it again. At some point …
My AI Couldn’t See My Files — I Built a Zero-Dependency MCP Server Read More »
Contents# Introduction# Redefining the Baseline# The Orchestration Ecosystem# Shifting the Workflow: From Procedural to Evaluative# The 2026 Skill Stack# The Evolution of Roles# Keeping Pace # Introduction Something has shifted at the intersection of AI and data science, and it’s changed how practitioners work. The systems deployed today don’t just generate a response and stop. They plan. They execute multi-step tasks. They …
As generative media becomes more advanced and accessible, it’s helpful to know where content comes from, and whether it’s been altered. Today, we’re expanding our content transparency and verification tools in Search, Gemini, Chrome, Pixel and Cloud, and deepening our partnership with the broader industry. ContentsScaling our technologyProviding more ways to verify content Scaling our …
Tools to understand how content was created and edited Read More »
underlying society is changing. That was one of the ideas from Max Buckley’s talk at AI Engineer Singapore, and it has stuck with me ever since. For decades, software engineering was organised around scarcity. Code was expensive to write, engineers were scarce and features took time. This assumption shaped how teams worked. We prioritised carefully …
Code Is Cheap. Engineering Judgement Is Now the Scarce Resource Read More »
Contents# Introduction# Step-by-Step Guide# Final Remarks # Introduction Mocking Internet of Things (IoT) sensor data that would be otherwise difficult to gather at scale can constitute a valuable approach to facilitate experimental analyses, projects, and studies. However, it requires much more than random value generation: it necessitates a chronological timeline, device metadata, and a need to reflect natural …
Mocking a Year of IoT Sensor Time Series Data with Mimesis Read More »
For centuries, the scientific method has been the greatest engine of human progress. At Google, our mission is deeply rooted in building tools to accelerate it. We believe that a new era of discovery won’t come from narrow, specialized models, but general agents that empower researchers across every scientific field. That’s why we are introducing …
into the world of generative AI adoption for almost the past three years now. We’ve spent the last three years learning how to talk to AI, but what if I told you that the next big shift will be learning how not to let AI think for us?! With the growing exposure of AI in …
Meta-Cognitive Regulation Might Be the Most Important AI Skill Nobody Is Talking About Read More »
