Given the modest increase in capability between the last GPT release and this version, when do you think we will get another release that has an order of magnitude of increased capability compared to the previous release?
The article suggests, "....maybe we should stop kneeling to the unstoppable force of progress and reflect on what we’re doing."
Imho, the primary reflection should not be on the technology, but on the strengths and weaknesses of the species who is receiving these powers. As example, if you were thinking of buying your teenager their first car, your focus wouldn't be on the car, but on the teenager. Are they ready?
Or, ok, we could start the analysis from the technology side. We have no idea what future versions of AI will be able to do. Therefore, there's no way to determine if we're ready. Therefore, stop kneeling.
A key problem is that those we will look to for answers to such questions will typically be those who know the most about the technology, those working in this industry, those who aren't in a position to be objective.
Hi. I am wondering what is the size of GPT4? There doesn’t seems to have any concrete info on that. More specifically I wonder if we had already witness diminishing returns with respect to model size and capabilities; i.e: any increase in model size result in a less than corresponding improvement in capabilities. If that’s the case, perhaps more effort can be put into coming out with more efficient model that can generate the same output with much lesser parameters. This would have significant advantage in cost and deployability.
Given the modest increase in capability between the last GPT release and this version, when do you think we will get another release that has an order of magnitude of increased capability compared to the previous release?
The article suggests, "....maybe we should stop kneeling to the unstoppable force of progress and reflect on what we’re doing."
Imho, the primary reflection should not be on the technology, but on the strengths and weaknesses of the species who is receiving these powers. As example, if you were thinking of buying your teenager their first car, your focus wouldn't be on the car, but on the teenager. Are they ready?
Or, ok, we could start the analysis from the technology side. We have no idea what future versions of AI will be able to do. Therefore, there's no way to determine if we're ready. Therefore, stop kneeling.
A key problem is that those we will look to for answers to such questions will typically be those who know the most about the technology, those working in this industry, those who aren't in a position to be objective.
What do you think about Microsoft Copilot? Are we witnessing the disruption of office and knowledge work we’ve never seen before?
Hi. I am wondering what is the size of GPT4? There doesn’t seems to have any concrete info on that. More specifically I wonder if we had already witness diminishing returns with respect to model size and capabilities; i.e: any increase in model size result in a less than corresponding improvement in capabilities. If that’s the case, perhaps more effort can be put into coming out with more efficient model that can generate the same output with much lesser parameters. This would have significant advantage in cost and deployability.