Malleable software in the age of LLMs
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More from Geoffrey Litt
I want to tell you about a neat experience I had with AI-assisted programming this week. What’s unusual here is: the AI didn’t write a single line of my code. Instead, I used AI to build a custom debugger UI… which made it more fun for me to do the...
Imagine you bake a delicious peach pie over the weekend, and you offer a slice to your friend. They respond: “Wait, how is this different from every other peach pie that’s ever been baked? It seems really similar to another pie I had recently.”
It’s the most wonderful time of the year: when people proudly announce how many books they have read in the past 12 months. 10 books, 20 books, 57 books! Worry not—I know you don’t care, and besides, I have no idea how many books I read this year.
In my previous post, Malleable software in the age of LLMs, I laid out a theory for how LLMs might enable a new era of people creating their own personal software: I think it’s likely that soon all computer users will have the ability to develop...
Recently lots of people have been trying very hard to make large language models like ChatGPT into better oracles—when we ask them questions, we want the perfect answer. As an example, in my last post, I explored some techniques for helping LLMs answer...