“It’s not perfect, but neither are you.”
Those were some of the final words uttered by Greg Brockman, President of OpenAI, during yesterday’s live demo of GPT-4. The demo has now been viewed 1 million times.
During the 25-minute video, Greg walked through several examples (mentioned below) of how GPT-4 can take your work to the next level. But the three things that stood out to me from the announcement are: an extra focus on ethics, it’s a work in progress, and it’s all about potential.
Ethics, progress, potential.
I view this overall release as less “game-changing” than the ChatGPT launch, I mean that’s a tough one to beat, but in the public evals and in my personal testing, there seems to be a large performance boost. Though I still sometimes prefer 3.5 for speed and length, I’m also cautiously optimistic about the much larger context window that the 32k model will provide (and can’t believe more people aren’t talking about it).
The use cases laid out in the video are similar to ones I’ve shared previously, with one big exception:
✅ Summarization - submit a long paragraph or essay, get a recap
✅ Document comparison - submit two pieces of content, get the commonalities
✅ Coding - submit a coding task in nearly any language, get ready-made code
✅ Code debugging - submit new documentation and GPT-4 will fix outdated code
✅ Answers and calculations - submit complex documentation like taxes to get helpful explanations and walkthroughs
The BIG exception, and where my eyes widened during the demo, was when Greg took a crappy sketch he drew of a fun website idea, and GPT-4 created code for the entire website…buttons and all…based on his notebook drawing.
GPT-4 takes in both text AND image input, and that will crack open many more use cases.
Caveats and limitations:
👎 They’re working on making it faster (in my testing, it’s definitely slower than previous models, but not enough to not use it)
👎 It’s not available to everyone just yet and the team asks for patience as they roll it out. Based on documentation I read, there is also limited availability of the 32k token model and a rate limit of 100 msgs per 4 hours to GPT-4 in ChatGPT Plus
👎 Data still cuts off September 2021
👎 Improved writing also means higher potential for disinformation and influenced extremism
I’ll end with Greg’s quote toward the end of the demo, and why it’s important that everyone, not just AI experts, poke at these systems and understand their purposes and limitations, and use this technology (or not) to build the future they want.
“This is all just potential. You can see lots of different applications. We, ourselves, are still figuring out new ways to use this.”
What do you think?
What questions do you still have?
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