Cheap models can open the next wave of AI products

Transcript

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.

1. 16:36

   And it sounds like one of the ways, I mean, certainly when I was using MuseSpark with my OpenClaw, like, it became clear that it was as good as Opus, especially for that sort of agentic flow with skill files, but it was, like, 8x cheaper, actually. Yes. Well, I think this goes to it. We don't believe in a world where these models are so expensive that they get rationed only for the most wealthy of developers and companies. It's important for everyone to be able to use the technology and to build whatever they want to build with it.

2. 17:10

   And I think that, you know, we take a view, I think the best AI products haven't even been developed yet. You know, if you look at the AI ecosystem and everything that's happened, like, every wave is 10 times bigger than the past wave. So, you know, when I started Scale, the first wave was maybe self-driving cars. Self-driving cars are really awesome. They're, like, really, really cool. But that was, like, pales in comparison to large language models and chatbots.

3. 17:36

   And, like, you know, chatbots became this thing that was, like, probably 10 times bigger even than, you know, self-driven cars. And then there were coding agents, which came a few years later. And coding agents are probably 10 times bigger than chatbots. And I think we're just on this steep curve. Like, we're going to keep seeing these new modalities and form factors and developments of the AI paradigm that will each be dramatically bigger than the last.

4. 18:00

   And so, you know, our point of view is, like, let's unleash the ecosystem. Let's explore and let's see, let's build, you know, kind of the future of the world together. So what's the best way to actually take advantage of the coding model for MuseSpark? It's OpenCode, right? Yeah. Today, the easiest way is to use OpenCode. We have, like, onboarding on the website, and then soon we'll have a harness of our own.

5. 18:23

   And ultimately, I think we want great models that plug into all of the available harnesses and empower as much, you know, sort of combinatorial innovation in the ecosystem as possible. Yeah, I know the harness is, you know, underwrapped still, but like, can you tease us with, you know, I mean, I still use Open Claw, I still use Hermes Agent, you know, it's, you know, these things are, I call them Ferraris that break down on the side of the road all the time.

6. 18:47

   Like, is this a Ferrari that won't break down? Like, you know, tease us a little bit. Yeah, hopefully, hopefully it doesn't, it doesn't break down. I mean, I think we're really focused on speed. I think speed is, you know, for anyone that uses these tools, speed is probably the, you know, one of the most critical things. I think also reliability. Like you mentioned, we want to be extremely reliable. We want to be very extensible and to scale to as complex and interesting of a multi-agent setup that you want to have.

7. 19:14

   I think there's so much innovation that will occur even above the harness, frankly, in terms of how to orchestrate and set up loops and develop very complex ecosystems of these agents working together. um we want to be really extensible and and um ultimately we want to just empower people to harness this technology because harness uh uh no pun actually pun not intended but um but there's like i truly believe these these models are already just incredibly powerful like they should they should be so powerful to fuel you know um many many points of expansion of gdp growth and I think it's up to smart people with vision and ambition to make all that happen.