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Updated 03:00 AMHow History Can Inform a Dynamic Understanding of Technological Revolutions Mirroring this Moment In Software Engineering
You're tired of hearing that you need to pick up AI, so today I'm not going to add to that pile. Instead, we'll look back at two moments in history that look a lot like this one: the arrival of Fortran in the 1950s, and …
Fundamentals Will Help You Survive the Constant Acceleration of Software Engineering
Fundamentals get talked about constantly, but rarely defined. In this episode I dig into what a fundamental actually is — the building blocks, heuristics, and core characteristics that don't change — and why they matter …
You Don't Learn Helplessness - You Learn Control
In 1967, a study on shock avoidance gave us "learned helplessness," and for nearly fifty years that was the prevailing explanation for why people give up. Then the original authors published a follow-up with brain scan d…
Why Reducing Complexity Is A Sign of Seniority
As you grow as an engineer, something counterintuitive happens: the systems you build get simpler, not more complex. In this episode, I explore why senior engineers tend to collapse abstractions, accept certain risks, an…
A Pragmatic Definition for Accountability
Accountability is a word you'll hear in your performance reviews, from your manager, and increasingly as you step into leadership. It's also one of the most abused and misunderstood concepts in our industry. Many of us h…
Using Substition to Make Decisions Simpler
There's a cognitive trick our brains play whenever we face a hard question or a difficult decision: we quietly swap the hard thing for something easier to answer. It's called substitution, and we do it constantly — usual…
Accelerating Spatio-Temporal Attention for Video Diffusion on TPUs
To address the quadratic latency bottleneck of self-attention in high-resolution video diffusion models, developers implemented Sparse VideoGen (SVG) to dynamically route attention heads to highly structured spatial or t…
Reproducing Olmo 3 7B Pre-training in MaxText: case study of large scale training on TPUs
The MaxText team successfully reproduced Ai2’s Olmo 3 7B language model from scratch on Google Cloud TPUs using JAX/XLA, precisely matching the original PyTorch-on-GPU reference across pre-training and mid-training stage…
Turn your REST APIs into MCP tools with Google Cloud API Gateway
Google Cloud API Gateway now acts as a native remote Model Context Protocol (MCP) server, eliminating the need to build and maintain custom middleware to expose REST APIs to AI agents. By simply adding specific annotatio…
Introducing Support for Local AI Models in the Antigravity SDK
The Google Antigravity SDK now empowers developers to execute offline, agentic workflows locally using models like Gemma 4 26B A4B via LiteRT. This update facilitates powerful hybrid orchestration architectures, allowing…
Colab is now part of your Google AI plan
Unlock premium Google Colab compute with Google AI. Subscribers now get priority accelerators, Premium GPUs, and background execution for long training runs.
Why client SDK generation belongs in the open
Google has partnered with Speakeasy to open-source their OpenAPI code generation suite under the AGPLv3 license, a strategic move prompted by the sudden shutdown of Google's previous proprietary SDK provider. The newly o…