Answered raw tape
D 5 · C 4 · P 4 · Cm 4 4.30
Q Okay. Uh, I'm actually curious to hear your perspective about the underlying technology. You mentioned earlier in the conversation, you know, maybe we'll get to AGI. Uh, there's also a conversation now that a lot of the progress of the models has leveled out, and it's mostly about orchestration now. Where do you fall on that front?
A You know, I, I think, um, the pre-training I'm not, I'm not an expert in this, but it does seem like post training is where the best innovations are happening now and the pre-training and the amount of data, like they've, we've used up a lot of the data. They're trying to create synthetic data to try to improve, uh, model performance. The models keep getting better though. Like when we keep get new, new drops of models from Anthropic or from OpenAI or, you know, any of the other providers, They are getting better. Um, and maybe better is, you know, not always significantly smarter, but just more deterministic, you know, um, less hallucinations, less hallucinations. Um, but for us, like, I don't need A radically smarter model. I just need to make these models work well for like back to the simplicity for the use cases in the enterprise. Um, we're coming out with something called agent script, uh, here at dream force and agent script. It's kind of funny. Like a lot of the companies, like we look at a lot of companies, partners, companies who want to buy competition. Everyone's kind of doing the same thing, which is. We started with like, put everything in the LLM, make the LLM the brain and tell it what to do and, you know, give it the instructions and it's going to be amazing. And what they found is like, let's say you, uh, Adidas is one of our customers. Let's say that they, yo…
AI assessment note: “post training is where the best innovations are happening now”
Answered raw tape
D 4 · C 3 · P 3 · Cm 3 3.30
Q enterprise side. Has lived through these pitches of centralization and using natural language as the command line for business software. And they said, um, enterprises are big, messy, complicated places. I've been hearing sales pitches for magic technology, magic technology to solve all their information problems for 25 years. None have lived up to the promises, you know, third verse, same as the first. What do you think about that?
A I agree and disagree. So, you know, I, I think that, um, it's very possible that the browser, as we know it, which is a, it is a centralized tool that we use, um, you know, whether you like it or not, it's a centralized tool that we all use to do a lot of our work or to do a lot of our consumer activity. And it's great. And, uh, is that changing? And, and, you know, everyone's trying to move you towards like the fear is, well, Does Google lose, ah, share because people do not go into the Chrome browser and search on Google, even though I get my Gemini results, and instead I go to ChatGPT. So that and the consumer world. So they're all fighting for that, ah, mindshare. Um, you know, I think in the enterprise, you know, I agree I mean, the problem with AI is it's just this magic demo. It's a great magic trick. It's like, check it out, Alex. I can do all my work just talking to AI. It knows everything. It tells me what's important. It's perfect. And it's a demonstration. And it doesn't always work that way. So I agree that, you know, we need to move to the future where sometimes it will work really well. And sometimes I do want to talk to AI and have it You know, tell me about my business from an analytical perspective, as I said, or I wanted to automatically, you know, look for a bug in my code and automatically post an update to my code to get and, you know, and do a review of i…
AI assessment note: “I agree I mean, the problem with AI is it's just this magic demo.”
