Earlier quoted context omitted.
It's worse than this. Llama models trained off of GPT 3.5/4 can run on a Raspberry Pi totally offline with similar levels of quality - taking all the best parts of the original model. Even if all major AI companies halted the upper tiers of model progress right now, you're still gonna need the entire public to stop assembling these together. It's quite possible just a whole bunch of these lesser models architected th…
GPT-4 is still not dangerous. Given the rapid progress trajectory though, GPT-5 and later which may be developed in a few short years could very well be, esp in the hands of a smart sociopath. (History shows there are many who could cause real-world harm. Imagine them armed with a 24/7 agent with expertise in dozens of fields.) See these predictions of AI in 2025 by an OpenAI insider and a former DeepMind research en…
This is a bold claim. Today LLMs have not been demonstrated to be capable of synthesizing novel code. There was a post just a few days ago on the performance gap between problems that had polluted the training data and novel problems that had not.
So if we project forward from the current state of the art: it would be more accurate to say autonomously (re-)design, (re-)code and distribute whole apps. There are two important variables here:
* The size of the context needed to enable that task.
* The ability to synthesize solutions to unseen problems.
While it is possible that "most complex" is carrying a lot of load in that quote, it is worth being clear about it means.