State of GPT | BRK216HFS

Why HN readers recommended it

Recommended as the clearest overview of how LLM assistants are built and how to use them well.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel

Microsoft Developer

Topic

gpt training pipeline

Format

talk

Level

intro

HN recommenders in dataset

6

HN mentions in dataset

11

Recommendation years in dataset

2023–2025

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

• I would highly recommend watching - State of GPT video by Karpathy at Microsoft Build to get an idea of how LLM’s work. There are some really good prompting ideas. It changed the way I use GPT-4. Video: [VIDEO]

• I share many of your concerns and frustrations, although I suspect what you're asking for their consider a moat along the lines of a trade secret, rivaled only by the collection of performance improvement techniques they've amassed in 1000s-10,000s of training runs, 100s of engineers, …

• I recognize there's plenty of catnip here when it comes to calling this "engineering" or not, however, whatever you want to call it (prompt fiddling?), the techniques are crucial if you want to achieve reasonably consistent output from current-state LLMs. As models improve concerns about …