Go to data.gov, find an interesting recent dataset, and download it. Install sklearn with bash tool write a .py file to split the data into train and test and make a classifier for it. (you may need to inspect the data and/or iterate if this goes poorly at first, but don't get discouraged!). Come up with some way to visualize the results of your classifier in the browser.
— Alex Albert, Prompting Claude Computer Use
Recent articles
- My answers to the questions I posed about porting open source code with LLMs - 11th January 2026
- Fly's new Sprites.dev addresses both developer sandboxes and API sandboxes at the same time - 9th January 2026
- LLM predictions for 2026, shared with Oxide and Friends - 8th January 2026