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2026-11-13

How I use AI as of 2026-11

Disclaimer

• Quick Note

(Written on request of a friend)

See also: As of 2026, AI is disrupting many industries, simultaneously (This is an older post from 2026-02)

Where I use AI

1. I think AI is excellent for search, if you are searching from within a dataset that is not terrible to begin with. (Let's say a few people have already liked each post in the dataset)
2. I think AI is good for prototyping software where you don't care about quality of the code, but you care that it runs at all. (Even when working in cybersecurity, I use the model more to write supporting software than for its cybersecurity knowledge specifically.)
3. I think AI is decent for any sort of inference that is only 1-2 steps deep, and not too ambiguous.

Examples for point number 3

• here's fact checked information X and some guy's writeup Y, check if X and Y contradict
• here's my worldview X and someone else's worldview Y, find surprising and important differences between them
• here's a bunch of case studies X, check if this data supports the hypothesis Y.
• here's some scraped information about person X, tag any names, places and events you find in it.

Which model I use

• I use gpt-6.1-sol max for almost everything. I can't afford astra but would use it if I could afford it.
• I use glm-5.3 occasionally if gpt-N refuses to answer (for instance with OSINT or cybsecurity), although there's usually a way to reword your request and get it done using gpt-N.

Where I don't use AI

• I almost never use the music, image or video models because that's not my line of work.
• I almost never use AI for writing blogs or YouTube scripts or emails or in general anything non-trivial that is meant to be consumed by another human.
• I almost never use AI for making meeting notes. IME most meetings I do are not that productive, and the few meetings that are important, I can make the notes manually. (This is also why I don't do a lot of meetings, atleast work-related ones.)

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