4 ms·
It should be able to predict the outcomes of human behaviours in specific cases, such as elections. There is enough knowledge out there on how humans behave, b
by fy20 3y ago
It should be able to predict the outcomes of human behaviours in specific cases, such as elections.
There is enough knowledge out there on how humans behave, both from examples of past events and scientific knowledge from studies.
Then for elections there is enough human content about how humans are behaving leading up to the event. Elections specifically are long events that people are very vocal about. If you try to use it for something like 'will the demand for toilet paper go up or down this week?' you aren't going to see the same results as there is not enough data in social media.
From that an LLM should be able to predict - well extrapolate - the outcome, basically a glorified opinion poll. This however would need a near real-time knowledge cutoff, so it's not something that current LLMs could do.
- lngnmn2 3y ago[dead]
- jrm4 3y agoThis wrong idea, for me, encapsulates everything wrong about AI generally as well. Human beings are not predictable; we're not automatons that can produce reliable outcomes. We're simply too random. This is why a "sentient AI" or whatever silliness won't take over the world; not that it isn't smart, but at some point it would have to give orders to humans, who can't be relied on to predictably execute them correctly.