What current frustrations with AI are you hoping are resolved soon?

1:02:13Here's a good one for us from Craig McFarlane in Boston, Mass. What current frustrations with AI are you hoping are resolved soon? Guy Cochran raised his hand first. So, Guy, what are you concerned about? Well, to me, it's actually the cost. And it's actually because it gets even more frustrating. I think that they're doing a lot of gimmies right now by subsidizing our plans. And so,

1:02:33So I think that $20 plan or that $100 plan that we're all getting used to and falling in love with, it's going to start to hurt when they say, oh, that's not subsidized anymore. And now it's full tilt. And all of a sudden, your $100 max plan is now a $1,000 max plan. Or you start to have to go look at buying a 5090 card or a Mac mini with 24 gigs of RAM, or maybe the new iPhone 20 will have X amount of big LLM frontier model type capabilities on device.

1:03:06So it's frustrating because I know in the future we're going to have this stuff. It's just a matter of time. And I guess it's also frustrating just that the factories can't keep up with the RAM to be able to make this stuff go down in price rather than up. I wonder if it's going to get to the point where it's like the Polaroids and other things,

1:03:21or we'll practically give you the camera because the film is where we're ending up making all of our money. And in this case, it's the connectivity later, not the hardware. John Wallace, your thoughts? Yeah, I think that my frustration really drives from the frontier models are moving so fast and iterating that you often, if you're trying to keep up and have products that are leveraging

1:03:44those you are constantly in this game of rewriting all these other things that go around these models to make sure you're getting like consistent solutions so like we have a voice product that calls out and receives calls for our mortgage servicing team at the company I work at and as new models are released to vertex and as things change all underneath the hood we're having to constantly monitor

1:04:14to her like, oh, what's happening now? How is she acting? How is she doing this? And so we're just constantly tweaking and tuning the RAG model that lives around this LLM and voice agent. So that to me, once that stabilizes a bit, I feel like it's going to move in a better direction. I understand why it happens, right? So they're just trying to move at breakneck speed.

1:04:38But trying to keep at that bleeding edge leads to a lot of frustration for myself and our developers. Yeah, the frontier is often denoted as the place where all the people with the arrows in their back are. Jackson, you wanted to get in on this one too. Yeah, just like John said, it's moving so fast. So, one thing I faced is like, we

1:05:02built a product for a customer that is using a model, and Google actually phased out that model like uh like after two months so uh they uh you uh i think you can if you build a model around a if you if you build a product around a model you you have to keep uh keep updating it updating it like uh your your vendor vendor logged in so you can uh you will be creating a dependency on

1:05:31them so you you need to up to date what they are offering so the product that we built is a broke because google phased out the model and it's not working anymore so they came came back to they came back to us to update the model and we are we updated it to the current latest 3.8 flash and it it's gonna phase out soon because uh i just saw saw a few hours ago that google gemini 4 organ

1:06:00gun has come out and it's moving so fast and the pacing, it goes fast. It's also taking the prices up for memory. It's an interesting time we live in. Well, we've been kicking this around for more than an hour now. I want to go around the panel one last time and see if anybody has any final closing thoughts. Also, remember that if you're wrapping things up for yourself and if you want people who