Interpolation and forming internal abstraction from training data to solve problems are large parts of most knowledge work. Recent language models can do them s

Interpolation and forming internal abstraction from training data to solve problems are large parts of most knowledge work. Recent language models can do them sufficiently well it can help automate many kinds of tasks. Check out cases of people using GPT-4 to help automate their coding (on Twitter and elsewhere). It's not ready for harder problems but we're probably just 1-3 key ideas away from solving those as well. To solve harder coding problems, one needs to be able to extrapolate properly. When an AI can do that, it's basically AGI and can probably solve any cognitive problems a human is capable of. Combined with its other qualities like massive communication bandwidth, self-replication with ease, travel at the light speed, it will be ready to take over the world from humanity if it wants to. Wikipedia cannot do the followings which even current AI can: * Minerva: Solving Quantitative Reasoning Problems with Language Models https://ai.googleblog.com/2022/06/minerva-solving-quantitative-reasoning.html https://ai.googleblog.com/2022/06/minerva-solving-quantitati... * What can AI do in 30 minutes? https://oneusefulthing.substack.com/p/superhuman-what-can-ai-do-in-30-minutes https://oneusefulthing.substack.com/p/superhuman-what-can-ai... For that matter, most signatories of the petition (and myself) were never persuaded by most other "revolutionary" ideas you mentioned above. See the names and accomplishments of the signatories at the bottom part of the page: https://futureoflife.org/open-letter/pause-giant-ai-experiments/ https://futureoflife.org/open-letter/pause-giant-ai-experime...