On Thu, May 16, 2024, 11:27 AM <ivan.mo...@gmail.com> wrote: > What should symbolic approach include to entirely replace neural networks > approach in creating true AI? Is that task even possible? What benefits and > drawbacks we could expect or hope for if it is possible? If it is not > possible, what would be the reasons? >
Surely you are aware of the 100% failure rate of symbolic AI over the last 70 years? It should work in theory, but we have a long history of underestimating the cost, lured by the early false success of covering half of the cases with just a few hundred rules. A human level language model is 10^9 bits, equivalent to 60M lines of code according to my compression tests, which yield 16 bits per line. A line of code costs $100, so your development cost is $6 billion, far beyond the budgets of the most ambitious attemps like Cyc or OpenCog. Or you can train a LLM with 100 to 1000 times as much knowledge for a few million at $2 per GPU hour. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T682a307a763c1ced-M5d7336a46b79663a410d119c Delivery options: https://agi.topicbox.com/groups/agi/subscription