GPT-4 is in the 90th percentile of human testing for many metrics, including one particularly difficult competitive Olympiad (99.5th percentile), and now vastly outperforms the human average in many fields ranging from medicine to law to wine tasting theory ( LifeArchitect.ai/GPT-4#capabilities ). The performance of GPT-4 has been understated. OpenAI’s Chief Scientist went on record to confirm that they were ‘wrong’ to ever publish details about models ( 16/Mar/2023 ).
OpenAI hid all technical details about the model, including token and parameter counts, architecture, and training dataset.
I find this to be especially egregious given that OpenAI planned on ‘delaying deployment of GPT-4 by a further six months ’ ( paper ) before making the model more generally available. This included OpenAI’s President giving his former company Stripe early access to the model. Some ‘friends’ of OpenAI got access to the GPT-4 model 8 months ago, in August 2022. OpenAI cronyism and preferential treatment. The reasons for my fear around this particular model are many, and I address each of them in the livestream ( replay ). We've got to be careful here… we are a little bit scared of this. I’ve generally avoided using that word, and even chastised media for using it, preferring the word ‘exhilarating’ and sometimes ‘confronting’ to describe post-2020 AI.Ī few hours after my livestream, OpenAI’s CEO also went live, admitting that he feels the same way. In my recent livestream about GPT-4 ( watch the replay ), I commented-for perhaps the first time-that the GPT-4 model and its implications are ‘scary’. If you’ve been following my work on post-2020 AI, you will have noticed that I tend towards optimistic.
There are over 20 major announcements in this edition.
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