https://www.youtube.com/watch?v=aM7F5kuMjRA&t=5652s
"The data's not that large, the compute's probably not *that* large in the larger scheme of things. A point I make: A year of life is a billion frames at 30 frames per second; and that fits on a thumb drive. You can tell that a one year old is a conscious intelligent being, so it does not require all the data on the Internet to demonstrate artificial general intelligence if your algorithm is correct." Sara Hooker's indictment of AGI research in "The Hardware Lottery" has its answer in The Hutter Prize's restrictions on hardware. Of all people, Carmack should be able to relate to the path dependency of the emerging AI industry on GPUs. Hutter's is a rigorously-founded direction for AGI research and it is from one of those most qualified to set it. This is as opposed to engineering/technology/development -- all of which are utility driven which is where we get into the "ought" of intelligent decision making as opposed to the "is" of natural science. We need a lot more focus on what "is" the case. The current hysteria over what "ought" to be the case "is" unhinged. Wikipedia's data should be more than adequate for a decent start. Moreover, if Wikipedia is truly comprehended, then the latent points of view going into its content will be exposed, along with their biases, as a necessary byproduct. That will be a very interesting aspect of what "is" the case. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Td500c6985165fa72-M44f31f795a0cf1600100dd96 Delivery options: https://agi.topicbox.com/groups/agi/subscription
