andrewmunsell
Joined 14 years ago
Joined 14 years ago
This is Open AI's fault (and literally every AI company is guilty of the same horrid naming schemes). Codex was an old model based on GPT-3, but then they reused the same name for both their Codex CLI and this Codex tool...
I mean, just look at the updates to their own blog post, I can see why people are confused.
https://openai.com/index/openai-codex/
Edit:
Google just did it too. "Gemini Ultra" is both a model (https://deepmind.google/models/gemini/ultra/) and their new top-tier subscription plan (a la Open AI's Pro plan). Why is this so difficult?
When I am using LLMs, I know exactly what the code should be and just am using it as a way to produce it faster (my Cursor rules are extremely extensive and focused on my personal architecture and code style, and I share them across all my personal projects), rather than producing a whole feature. When I try and use just the agent in Cursor, it always needs significant modifications and reorganization to meet my standards, even with the extensive rules I have set up.
Cursor appeals to me because those QOL features don't take away the actual code writing part, but instead augment it and get rid of some of the tedium.
17.6 tokens/s on an M4 Max 40 core GPU
Whether they actually do this (and whether there's any incentive to do so), is obviously not a given
- https://www.andrewmunsell.com/ - https://mastodon.munsell.io/@andrew
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