Jacob Kaplan-Moss

Tag: Ai

TIL: Turning a conference talk into an annotated presentation

I really like trying to publish written versions of conference talks – videos are great, but not everyone has the time or desire to watch. But in the past I’ve often not been able to make them happen – it’s just felt like a lot of work transcribing an entire talk, producing a writeup, etc. But modern AI tools have changed this, it’s now significantly easier.

So here are some notes on my tools and workflow that I used to produce the writeup of my DjangoCon US 2024 talk. This is super-similar to, and inspired by, Simon Willison’s workflow.

Ethical Applications of AI to Public Sector Problems

There have been massive developments in AI in the last decade, and they’re changing what’s possible with software. There’s also been a huge amount of misunderstanding, hype, and outright bullshit. I believe that the advances in AI are real, will continue, and have promising applications in the public sector. But I also believe that there are clear “right” and “wrong” ways to apply AI to public sector problems.
October 1st, 2024 • ai public sector

🔗 Making Large Language Models work for you (#)

Maybe the best intro to LLMs I’ve seen yet.

August 27th, 2023 • ai llm

🔗 Thoughts on my first machine learning project (#)

Fantastic post about what building an ML system feels like.

November 11th, 2022 • ai music programming

Writing With Copilot

On using Copilot as a writing assistant, and my complex feelings about the ethics of doing so.
October 14th, 2022 • ai ethics github copilot writing

AI is catching up to the hype

One of the major trends I’ve been thinking about a lot this year is that the reality of AI has starting catching up to the hype. This thought has been percolating in my brain for a while, and finally bubbled out into a comment on MetaFilter. I’m publishing it here, as well.
December 28th, 2020 • ai/ml