331–340 of 1001 posts
I'm not sure where the "stochastic parrot" argument goes now.
Test taking will change. In the future I could see the student engaging in a conversation with an AI and the AI producing an evaluation. This conversation may be focused on a single subject, or more likely range over many fields and ideas. And may stretch out over months. Eventually teaching and scoring could also be integrated as the AI becomes a life-long tutor. Even in a future where human testing/learning is no l…
There was blog post on HN recently about the upbringings of great scientists, physicists, polymaths, etc. They almost invariably had access to near unlimited time with high quality tutors. He cited a source that claimed modern students who had access to significant tutoring resources were very likely to be at the top of their class. Personalized learning is highly effective. I think your idea is an exciting one indee…
Access is invite only for the API, and rate limited for paid GPT+. > gpt-4 has a context length of 8,192 tokens. We are also providing limited access to our 32,768–context (about 50 pages of text) version, gpt-4-32k, which will also be updated automatically over time (current version gpt-4-32k-0314, also supported until June 14). Pricing is $0.06 per 1K prompt tokens and $0.12 per 1k completion tokens. The context le…
Will input-images also be tokenized? Multi-modal input is an area of research, but an image could be converted into a text description (?) before being inserted into the input stream.
Access is invite only for the API, and rate limited for paid GPT+. > gpt-4 has a context length of 8,192 tokens. We are also providing limited access to our 32,768–context (about 50 pages of text) version, gpt-4-32k, which will also be updated automatically over time (current version gpt-4-32k-0314, also supported until June 14). Pricing is $0.06 per 1K prompt tokens and $0.12 per 1k completion tokens. The context le…
I'm really curious to see if expanding the context length this much will allow GPT to do typical software development tasks on a big codebase. If it can take in a github issue and produce decent code solving a complex issue across many files... will certainly be an interesting time.
I see some FOSS-boosting silver linings in all of this.
I think it's interesting that they've benchmarked it against an array of standardized tests. Seems like LLMs would be particularly well suited to this kind of test by virtue of it being simple prompt:response, but I have to say...those results are terrifying. Especially when considering the rate of improvement. bottom 10% to top 10% of LSAT in What are the implications for society when general thinking, reading, and…
That is exactly the opposite of what we are seeing here. We can check the accuracy of GPT-X's responses. They cannot check the accuracy of our decisions. Or even their own work.
So the implications are not as deep as people think - everything that comes out of these systems needs checked before it can be used or trusted.
Thanks OpenAI
Obviously, I'm assuming that GPT-4 wasn't trained on the exams that it was tested against.
The "visual inputs" samples are extraordinary, and well worth paying extra attention to. I wasn't expecting GPT-4 to be able to correctly answer "What is funny about this image?" for an image of a mobile phone charger designed to resemble a VGA cable - but it can. (Note that they have a disclaimer: "Image inputs are still a research preview and not publicly available.")