ChatGPT, every mention
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every year anyone Shayle Kann 34Duncan Campbell 9Seyed Madaeni 5Varun Sivaram 1Sheldon Kimber 1Paul Siegel 1Paul Lambert 1Maeve Allsup 1Jake Elder 1Eyal Cohen 1
Verbatim, from the transcripts: the passages where ChatGPT comes up
How data centers are complicating transmission expansion
- ▶ 1:17 Shayle Kann At that point, ChatGPT had not yet been released.
- ▶ 8:27 Maeve Allsup Um, the, the thing that has happened in the years in between, um, and I guess I'll say like this, in twenty-twenty-two, ChatGPT hadn't even been released yet, so it was just, it was the middle of the Biden administration.
Cracking the code on autonomous trucking
- ▶ 15:48 Eyal Cohen What, what I've seen coming out of it, it's like what I think a lot of people experience now, like if you go to ChatGPT and you upload an image, right?
AI scaling pathways: on grid, on edge, off grid, off planet
- ▶ 12:36 Jake Elder ChatGPT or Gemini that just operates natively on your phone and doesn't need to go out in the world at all to get access to basic inference, um, you know, results.
PJM and ERCOT navigate a capacity rollercoaster
- ▶ 6:56 Paul Siegel I think all of the best minds who are focused on this market didn't anticipate how quickly this shift occurred, and we went from that moment of very little to no demand growth to hints of data center growth on the back of the emergence of…
Will inference move to the edge?
- ▶ 38:36 Shayle Kann Certain types of workloads, like a seven billion parameter model might be fine, and others, it wouldn't be, and so maybe there will be some on-device, an on-device chip, and some inference that you could do on-device, but, you know, you,…
Can AI revolutionize EPC?
- ▶ 27:15 Alex Modon And importantly, you're not just kind of asking a chat GPT or something of that sort to go explore that and produce something, which it'll do.
Inside a $300 million bet on AI for physical R&D
- ▶ 2:56 Shayle Kann Fast forward a year, Doge left Google DeepMind earlier this year, and along with Liam Fettus, who was one of the co-creators of ChatGPT, started a company called Periodic Labs, which raised, wait for it, a three hundred million dollar seed…
The mechanics of data center flexibility
- ▶ 14:03 Varun Sivaram Uh, similarly today, people open their phones and go to ChatGPT, and so that's a more familiar load profile.
Specialized AI brains for physical industry
- ▶ 8:49 Shayle Kann Or could you take all that unstructured data and all those PDFs and just upload them to whatever generic LLM, upload them to Anthropic or, or ChatGPT or whatever it's going to be, and it'll synthesize them just as well.
The case for colocating data centers and generation
- ▶ 37:59 Sheldon Kimber It has to, it has, needs a public relations win that says, it has a model that's as powerful as ChatGPT, Gemini, et cetera, right?
Getting heat pumps right
- ▶ 41:37 Paul Lambert Have your chat GPT moment and be a billion users in a few weeks.
Can chip efficiency slow AI's energy demand?
- ▶ 31:30 Christian Belady Um, I've been really frustrated by the fact that the big deal is that we're trying to make it a consumer product where everyone could go online and, and, uh, get their answer from, from, uh, AI, you know, from chat GPT.
Under the hood of data center power demand
- ▶ 5:00 Shayle Kann So you were there for the emergence of ChatGPT and, you know, the first kind of, I don't know, 18 months or something after that.
- ▶ 8:45 Shayle Kann Uh, of ChatGPT and its ilk initially were around how big you could make individual data centers.
- ▶ 22:22 Brian Janous So if you go into a chat GPT and you want to, you want to make your picture, you want it to tell you a story, um, you want that to happen very quickly.
The news quiz episode!
- ▶ 17:58 Shayle Kann No, it's got to be like ChatGPT, LLMs.
The early days of AI on the grid
- ▶ 12:57 Shayle Kann You know, there's the LLM, ChatGPT version of it, and all this generative AI is a new phenomenon, but
AI for climate: a real world test
- ▶ 0:21 Shayle Kann I think when you say we, you're referring to you and chat GPT. 6 times in the scene
- ▶ 3:42 Shayle Kann A couple months ago, on a whim, I think, Duncan played around with ChatGPT to try to write some Python code to dispatch an imaginary battery using a few key conditions.
- ▶ 10:19 Seyed Madaeni So, I've kind of asked it to do it, so we'll see what, uh, Duncan and ChatGPT can come up with, but that's really the ask.
- ▶ 10:28 Shayle Kann In, in a world without ChatGPT, as you said, you know, somebody, head of trading, will tap some folks on the team on the shoulder and say, I have this new asset, and I need you to do this exact task. 2 times in the scene
- ▶ 14:12 Shayle Kann So you've sent us, Duncan, like, literally hundreds of pages of printed out, basically conversation between you and ChatGPT that was the result of this challenge. 10 times in the scene
- ▶ 21:17 Seyed Madaeni Even, we haven't concluded that, even if ChatGBT is producing something that's flawless, 2 times in the scene
- ▶ 24:33 Seyed Madaeni 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. 2 times in the scene
- ▶ 29:37 Duncan Campbell And this actually is a good example of, regardless of how good your ChatGPT software engineer or human software engineer is, I might have misinterpreted Sayid's prompt a little bit. 4 times in the scene
- ▶ 35:59 Shayle Kann What is the code that ChatGPT has given you able to do? 4 times in the scene
- ▶ 44:12 Shayle Kann And, Syed, I think you should give us, I'll say we, we deserve, we being Duncan, ChatGPT, and me for sitting here, a grade on performance relative to the prompt, 2 times in the scene
- ▶ 1:04:38 Duncan Campbell ChatGPT's in permaflow, right? 2 times in the scene
- ▶ 1:10:11 Duncan Campbell I, I built, uh, a similar, uh, EV fleet managed charging optimization model using chat GPT. 3 times in the scene
- ▶ 1:18:50 Shayle Kann When you're from today, the, uh, the ChatGPT formerly known as Syed will join us to come up with a new challenge.