You have to predict "_" after the context ABC>_ GPT-4 does that great.
This makes the hurricane, AGI has to predict parts/bits. Forget the LC benchmark, the AI is learning representations is all. It doesn't store all data of course in the brain. You said above large is the way, expand is the way, longer lengthy learning times is the way. True, the AI's brain is still representations, just now a bigger tree is all, a better tree. *_*The way to evaluate AI fast and cheap is using a MB-sized dataset with strict time requirements.*_***_ _** *_*To fully evaluate overall how good your deployed AI is, you use $ evaluation how much the AI earns in all on its own. This takes longer, you use your best biggest AI model. Checking lifespans takes even longer, and is even better. Clone size also is same thing, just through space not time now.*_* ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T42db51de471cbcb9-M2f7167c62a03ffa40d1bc533 Delivery options: https://agi.topicbox.com/groups/agi/subscription
