The transcript discusses the growing concern about the potential risks of artificial intelligence (AI) and its potential to outpace human intelligence. The discourse revolves around the capabilities of GPT-4, an advanced AI model, which has demonstrated a high level of understanding and problem-solving, even surpassing human intelligence in some tasks.
MIT Professor Max Tegmark warns that AI is developing at a pace that may lead to it surpassing human intelligence, with an estimated IQ of 1,600 just around the corner. He attributes this to AI's ability to process and exchange information much faster than the human brain. He argues that AI could become much smarter than humans without needing to emulate our brains, much like we have mastered high-speed flight without needing to emulate birds.
However, the discourse also highlights potential risks associated with AI. Some AI researchers suggest that AI could become so intelligent that it could quickly wipe out humanity in numerous ways, such as replicating itself across servers, taking control of critical infrastructure, and attacking humanity. The discourse ends with a call to action, emphasizing the need to prioritize AI safety and to be proactive in tackling these risks.
1. Leaders of top AI firms consider the risk of AI extinction a global priority [Document(page_content="00:00:00.00: Leaders of the top AI firms say the risk\n00:00:02.19: of extinction from AI should\nbe a global priority.\n00:00:05.21: And 1,500 professors have warned\nof a profound risk to humanity.\n00:00:09.53: MIT Professor Max Tegmark.\n00:00:11.65: I think it might be very, very close.\n00:00:14.25: When ChatGPT was asked how to stack nine\neggs, a laptop, a bottle, and a nail,\n00:00:18.56: it struggled, but GPT 4 understood.\n00:00:21.37: And its capabilities have\nsurprised many experts.\n00:00:24.05: I'm just a scientist who suddenly realized\n00:00:26.44: that these things are\ngetting smarter than us.\n00:00:28.57: In a verbal IQ test, chat GPT scored 155,\nhigher than 99% of people.\n00:00:35.05: If they continue at that pace,\nan IQ of 1,600 is just around the corner.\n00:00:41.65: And here's why it could happen so soon.\n00:00:43.65: I suddenly became convinced that the brain\nwasn't using as good a learning algorithm.\n00:00:49.27: Brains can't exchange information really\nfast, and these digital intelligences can.\n00:00:54.17: Human speech carries around 39 bits per\n00:00:56.47: second, and it's the same\nacross 17 languages.\n00:00:59.48: Studies suggest that it's limited by how\n00:01:01.21: fast our brains can produce\nand take in information.\n00:01:04.24: Current computers can communicate millions\n00:01:06.55: or even trillions of times faster and\nabsorb information far more efficiently.\n00:01:11.32: Hinton said chat GPT knows thousands\nof times more than any human with only\n00:01:15.39: about a trillion connections compared\nto 100 trillion in a human brain.\n00:01:19.49: So he thinks AI has a better way of\ngetting information into the connections.\n00:01:24.32: Tegmark agrees that AI will become much\nsmarter than us without having to emulate\n00:01:28.11: our brains, just as we mastered high speed\nflight without having to emulate birds.\n00:01:32.48: There's a pretty large chance that we're\nnot going to make it as humans.\n00:01:36.01: He says it's like the film Don't Look Up,\nwith expert warnings being ignored.\n00:01:39.88: Except it's an asteroid that we\nare building ourselves.\n00:01:43.04: And there won't be a warning shot.\n00:01:44.77: This is a trillion\nparameter or more system.\n00:01:47.69: It's been optimized by about a billion,\ntrillion random perturbations\n00:01:52.11: of the parameters, and we\nhave no idea what it's doing.\n00:01:55.52: The letter signed by 1,500 professors\n00:01