GPT-4 in 10 Keys

First impressions

Midjourney

GPT-4 is here. The long-awaited and most-anticipated AI model from OpenAI was announced and launched as a product yesterday, March 14 (confirming the rumors first reported by Heise). People are already talking a lot about GPT-4, but I’ve yet to see a succinct overview of its ability, significance, uniqueness — and disappointments — in one place.

That’s what this is: everything you need to know about GPT-4 in ten keys. Most of the citations are from the technical report, the research blog post, or the product blog post (there’s a lot of info overlapping so don’t worry about reading them in-depth). Also, I’ll write follow-up articles for TAB if I see fit as new info or stories come out.

1. Multimodality: The first good multimodal large language model
2. Availability: ChatGPT+ and API
3. Pricing and enlarged context window
4. High performance on human exams and language/vision benchmarks
5. Predictive scaling: what will future models be capable of?
6. Improved steerability to control GPT-4 better
7. Limitations and risks (and modest improvements)
8. A super-closed release: bad news for the AI community
9. Microsoft has revealed that Bing Chat was GPT-4 all along