Timeline for Humans have a complicated brain. Can we develop AI to the point where it can rival our intelligence?
Current License: CC BY-SA 3.0
6 events
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| Oct 29, 2015 at 21:30 | comment | added | Cort Ammon | @RussellBorogove I brought it up because the OP explicitly asked about an AI that talks to us like we talk to each other. I could have dug into the much unknown parts of communication, or simply point out what we already do. A discussion on the complexities of linguistics and emotion from a computational perspective could take days. This took minutes =) | |
| Oct 29, 2015 at 20:24 | comment | added | Russell Borogove | In practice, it's probably better to think of the Turing Test as something human interrogators routinely fail, rather than as something conversational AI routinely passes. | |
| Oct 29, 2015 at 19:21 | comment | added | Cort Ammon | There's sections of the brain that operate as simply as you say. Then there are sections, such as the hippocampus, where we simply have to shrug our shoulders and say "we think it helps us with memory... somehow." That and we're starting to learn that there's important factors that aren't even captured in the synapses themselves, such as the recent studies suggesting some memories may actually be buried within a single neuron. | |
| Oct 29, 2015 at 19:19 | comment | added | Cort Ammon | @ckersch Scale is tricky when you deal with interconnections. Its estimated that the brain has 86 billion neurons, which is a lot. The synapse count is estimated at 150,000 bililon synapses (150,000,000,000,000 synapses). Also, just identifying that the neurons are connected is not enough to really capture what the brain does. The analog timing within those synapses is often critical as well. If we were to fully capture the brain, there would likely be an answer to the philosophical question of physicalism vs materialism. That debate still rages to this day. | |
| Oct 29, 2015 at 18:41 | comment | added | ckersch | What about the brain is so complex that it defies capturing? A single neuron is complex, but we can fairly accurately describe what it does. Everything else is a matter of scale and connections. | |
| Oct 29, 2015 at 15:36 | history | answered | Cort Ammon | CC BY-SA 3.0 |