The Exchanges

Q Can you just explain that a little bit more? Like what, why, what is clear about it that somebody prompted to develop this piece first? Like, what do you mean by that?

A Yeah, so essentially, if you're, let's say if you're building a building, well, you got to think about the foundation first, then the next step of the process is, you know, putting steel in the ground. So, um, you just don't go and work on cosmetics day one, right? Same thing for coding. You really need a cohesive theme of how you're defining your parameters, your variables, the packages you're downloading, um, Um, the data scripts that you're using. So it's, uh, it's followed an actually very clear process in terms of what the objectives are. So, you know, I want to say kudos to Duncan or kudos to JATGPT or kudos to both, but at the end of the day, it's pretty clear.

AI assessment note: “You really need a cohesive theme of how you're defining your parameters, your variables”

Q One other thought I've had about the world, I'm curious your take on this too, Syed, like, are software engineers safe, or are software engineers just gonna have to become, like, essay writers? Like, is prose the new coding?

A Yeah, no, I, sometimes I, I kind of You know, I've been thinking through this, and the more I think about it, at the end of the day, we're flying a plane that's, we're souping up the autopilot system, but I think we still need pilots. And, you know, a pilot with an autopilot system is a different kind of a pilot. So it's mostly about, I wouldn't say essay writing, but prompting and code review and QA. But we also need to consider, I just want to, like, bring this up front, that We're thinking about a simple problem here, and we're thinking about a simple script, but in reality, the machines that we've built in terms of computer software and programs are very large. Even, we haven't concluded that, even if ChatGBT is producing something that's flawless, Still embedding that into your entire software ecosystem, it's a bit of a challenge. And I don't personally feel comfortable uploading my entire software architecture to ChatGPT and asking it to analyze and incorporate this piece of code. So I think when it comes to developing software, the architecture, the components are a bit piece of the work, and we're just zooming in a very small problem.

AI assessment note: “I wouldn't say essay writing, but prompting and code review and QA.”

Q So did you, did you know kind of when you were setting up the prompt that like energy would be much easier than ancillary services would be?

A Yeah. Energy is absolutely much easier. And yes. And so your services, they, they run on a second by second basis, or there might be just reserve cap capacity, but at the end of the day, they are traded on an hourly block or a 15 minute block in real time. So, um, I would say if I think about the initial problem, which takes a year for a souped up team to build and productize, I originally reduced the complexity to 50% by ignoring all of the bidding stuff. And from the 50% that was remaining, um, the insular services are probably like 40% of the complexity. So essentially take the problem that a user ultimately needs and reduce it, the complexity, by 90%, and this is what's being generated. Um, but that being said, I'm super excited about it, and at the right time, I'll, we'll talk about it, maybe we'll look at the code together. Um, but from, from a complexity perspective, it's, uh, pretty, like, scaled down.

AI assessment note: “Yeah. Energy is absolutely much easier. And yes.”

Q Well, let's, so let's, we didn't do the 10 out of 10 on that first section, so I think this will be good because we'll give it a total score. So, on the system parameters, also 10 out of 10?

A 10 out of 10. Um, I would do 10 out of 10. I, I guess, like, Maybe there's a caveat, um, to the first section, if you scroll up, Duncan, as we are defining the parameters, um, the only limitation there is, it's just ignoring enslave services. So if I was, you know, the manager of a team, and I looked at it, and I was like, oh, this is great, but what happened to enslave services? So if I look at it, ignoring enslave services, if the task was just focus on energy, a 10 out of 10, But the fact that it's missing in sleep services, that's just like a bit, bit of a blow. Um, if I want to consider that, then I would say, okay, it's two or three out of 10. Um, but the style of the code and the clarity is definitely very, um, superior.

AI assessment note: “10 out of 10. Um, I would do 10 out of 10.”

Q So that's fairly astounding, right? Not only is it significantly less time, but Duncan, not to discount your Clear, massive skill set here. You don't know how to write code. So getting to this point that quickly, that feels like a fairly, that's a leap in our technological capabilities. Is that fair to state?

A A hundred percent. The way I look at this is You know, I'm not looking, when I look at this code, I'm not looking at it. Okay. Am I going to use it? Cause that was the intention, but I'm not looking at it as a, am I going to use it in production tomorrow? The challenge that I just described is fairly typical when you want to hire people. So if this was a coding challenge for a new hire, I would say we definitely need this person because not only they know optimization engineering, they also know software engineering. So I would look at my HR team and say, all right, if we are, if the base compensation for a software engineer, I'm just making up a number is a hundred dollars. I would tell my HR team, as long as the culture fit is great, let's go up until up to one 21 30 to make this happen, because this seems to be a very talented individual. And from there, when you work as a team, then you can do a lot of great things. But that's how I would look at the problem.

AI assessment note: “A hundred percent. The way I look at this is”

Q okay, if this were a coding challenge for a potential hire, but let's talk about the, the real question, which is, how far are we from, how far was Duncan here from building something that you would use in a production environment? That you would actually use to charge and discharge a battery? Again, assuming, imagine that we had included ancillary services and the other things that you would need.

A I mean, if you had ancillary services, then, uh, it would have been different. Um, I would assume it's hard to get there. I, like, I still don't think you can do it in four hours. Maybe I'm wrong. Maybe I'm, you know, I'm, I'm not, I'm, you know, we may get there. Um, but it depends on how you're using it in production. When you think about market trading or, You know, processes that require automation, frequency of use, real-time decision making. Um, there's a lot to make a software code production great, and this is far from reality. So I would say, like, we are miles away from using this in production, but if you think about an analyst just trying to make You know, informative decisions as, you know, souped-up calculator. It's there. You can use it.

AI assessment note: “I would say, like, we are miles away from using this in production”