Also note, the one giving the words meaning in the first place is you. GPT-3 is simply repeating patterns that it discovered, but it doesn't have any notion of meaning, any model of the world outside "this is what text I expect to see following this text".
I am not merely being philosophical here. Two GPT-3 instances couldn't "teach" each other even the slightest bit of new information, or prime each other to get some specific kind of response, perhaps trying a few different things to see which prompts are more likely to produce the desired outcome in the other instance - because there is no "desired outcome" - it's all just trying (and usually succeeding exceedingly well!) to produce text that sounds like text it has seen before, while matching the prompt.
I would be very surprised to not see a GPT-4-like system built in the next several years by simply scaling up by 100x again (perhaps with some algorithmic improvements thrown in as well). I don’t know how it will perform but I expect it to be significantly more impressive than GPT-3. Which would be a very interesting thing... the world would look very different. Potentially even scary, especially with immediate follow-up reapplications of the techniques in other areas.