Personal messages to the AI community
A few frontier labs have tried to tell a story of open models being dangerous because they can be used to launch cyberattacks, and of their “safe” proprietary models with strong guardrails being there to defend us.
As AI increasingly automates coding, it frees up developers to spend time on high-level software development tasks traditionally reserved for senior engineers, like deciding on technical architecture and participating in scoping product requirements.
The key idea of agentic coding loops is to have an agent keep working until it satisfies a condition, such as achieving a product specification.
The AI world has become incredibly noisy. Social media, traditional media, and an army of marketers produce a cacophony of hype and content that are often secretly sales pitches for their products.
AI-assisted agentic coding reinforces iterative software development. These three loops can guide development and help you decide what to build.
Over the last two weeks, both the U.S. Government and Anthropic took significant actions that demonstrated their power to control access to AI by restricting what others can do with frontier models.
If you haven’t already, I encourage you to experiment with using AI agents not just to chat but to actually do work for you on your desktop.
There have been intense efforts over the past few years to lobby governments to pass AI laws for regulatory capture or to suppress open source.
One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs.
Harvard University just voted to limit the number of A grades given in undergraduate classes to about 20% of the class.
We’ve been working on AI Andrew, an AI companion shaped by my personality.
There will be no AI jobpocalypse.
The ways we prompt AI are very different in 2026 than 2022 when ChatGPT came out.
Coding agents are accelerating different types of software work to different degrees.
AI-native software engineering teams operate very differently than traditional teams.
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