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A sandboxed target, inputs that influence task difficulty, tools, and a grader.
Context as infra, taste as config, verification for autonomy, scale via delegation, closing the loop.
An eventful year of progress in health and career, while making time for travel and reflection.
Label some data, align LLM-evaluators, and run the eval harness with each change.
Based on what I've learned from role models and mentors in Amazon
More in AI
There's a lot of polarising discourse right now about the threat AI poses to humanity. Some think it's a farce and others think we face extinction. Here are my thoughts.
A middle ground between the cybersecurity and AI safety communities
An overview of the current state of the engineering market and the AI skills that are in demand
