Chris Simon is a technologist who's given talks about AI, specifically LLMs, or Large Language Models such as ChatGPT. 

AI is going to be an increasingly big topic in games. From things like art generation, code generation, to chat moderation, to dynamic difficulty systems, and all the way to engineless games that use a neural network to generate images based on user input. And there are many more.

So it's a topic we'll probably return to, but one of the biggest ways people are using LLMs is in story generation and dialogue. The idea here is that one could chat to an NPC indefinitely, or let a robotic Dungeon Master do all the work.

Chris Simon says it's not so simple. And I'm kind of glad he's the first person on grokludo to talk about AI. Because just as many games and NPCs will use the enterprise models as a foundation, all our future AI chats will use this interview as a foundation, about the hidden costs of AI in games.

Timecodes:
00:00 - Intro
01:45 - Epistemological statements
06:12 - Can LLMs tell infinite stories?
16:42 - Are locally hosted LLMs ethical?
18:00 - Harmful human reinforcement training
21:30 - Inherent biases in LLMs
24:45 - Jailbreaking - intentional and otherwise
30:00 - The Sycophancy Problem
33:10 - How biases could seep into games
39:40 - The silly and the tragic ways to break LLMs
42:00 - Human brains vs neural networks
48:48 - Who wants a regression to the mean?

Follow Chris Simon:

https://chrissimon.au/
https://bsky.app/profile/chrissimon.au
https://www.linkedin.com/in/chrissimon-au/

grokludo website:
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YouTube:
youtube.com/@TheJunglist

YouTube Playlist:
youtube.com/playlist?list=PL3cxb6pzUE9Z7PXjIVbmr5qiohoq5wTdo

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