“Q: How do you see planning in AI systems? How advanced are AI right now at planning?
A: I don’t know it’s hard to judge we don’t have a metric for like how well agents are at planning but I think if you start asking the right questions for step by step thinking and processing, it’s really good.”
Agency is advancing pretty fast. Hard to tell how hard this problem is. But there is a lot of overhang. We are not seeing gpt-4 at its maximum potential.
Agency is advancing pretty fast. Hard to tell how hard this problem is. But there is a lot of overhang. We are not seeing gpt-4 at its maximum potential.
Yes, agreed. And, it is very likely that the next iteration (E.g. GPT-5) will have many more “emergent behaviors”. Which might include a marked increase in “agency”, planning, fossball, who knows…
People are finding ways to push the boundaries of the capabilities GPT-4 and are quite succesful at that (in reasoning, agency etc). These algorithmic improvements will probably also work on gpt5.
A lot of infrastructure built for gpt4 will also work on gpt5 (like plug-ins). We do not need to build new plug-ins for gpt5, we just swap the underlying foundational model (greatly increasing the adoption of gpt5 compared to gpt4).
This also works for agency shells like autogpt. Autogpt is independant of foundational model (works with gpt3.5, gpt4 and also gpt5). By the time gpt5 is released these agency shells will be greatly improved and we just have to swap out the underlying engine to get al lot more oomph from that.
Same for memory models like vector databases.
I think the infrastructure part will be a big difference. A year from now we will have a lot of applications, use cases, experience, better prompts etc. That could make the impact and speed of deployment of gpt5 (or Gemini) a lot bigger/faster than gpt4.
“Q: How do you see planning in AI systems? How advanced are AI right now at planning?
A: I don’t know it’s hard to judge we don’t have a metric for like how well agents are at planning but I think if you start asking the right questions for step by step thinking and processing, it’s really good.”
Agency is advancing pretty fast. Hard to tell how hard this problem is. But there is a lot of overhang. We are not seeing gpt-4 at its maximum potential.
Yes, agreed. And, it is very likely that the next iteration (E.g. GPT-5) will have many more “emergent behaviors”. Which might include a marked increase in “agency”, planning, fossball, who knows…
People are finding ways to push the boundaries of the capabilities GPT-4 and are quite succesful at that (in reasoning, agency etc). These algorithmic improvements will probably also work on gpt5.
A lot of infrastructure built for gpt4 will also work on gpt5 (like plug-ins). We do not need to build new plug-ins for gpt5, we just swap the underlying foundational model (greatly increasing the adoption of gpt5 compared to gpt4).
This also works for agency shells like autogpt. Autogpt is independant of foundational model (works with gpt3.5, gpt4 and also gpt5). By the time gpt5 is released these agency shells will be greatly improved and we just have to swap out the underlying engine to get al lot more oomph from that.
Same for memory models like vector databases.
I think the infrastructure part will be a big difference. A year from now we will have a lot of applications, use cases, experience, better prompts etc. That could make the impact and speed of deployment of gpt5 (or Gemini) a lot bigger/faster than gpt4.