Jesse Liu

to a very selected group of testers. I would love to give you the access. So please reach out to us later on. We'll see if we can help you set it up. But we roll out a very small group of alpha testers, roughly around 20, 25 people, to be honest. And then over the last 72 hours, I saw more than probably 200, more than 200 lessons or agents has been created through Teach Mode. And

to a very selected group of testers. I would love to give you the access. So please reach out to us later on. We'll see if we can help you set it up. But we roll out a very small group of alpha testers, roughly around 20, 25 people, to be honest. And then over the last 72 hours, I saw more than probably 200, more than 200 lessons or agents has been created through Teach Mode. And

If you look at the current Apple ecosystem or Android ecosystem, I think the hardware is not going to be the number one money contributor. It's really hard to make that on top of the margin of the hardware anyway. So at some point you want to convert that into services and software, right? That doesn't mean that you're going to charge subscription for the device.

If you look at the current Apple ecosystem or Android ecosystem, I think the hardware is not going to be the number one money contributor. It's really hard to make that on top of the margin of the hardware anyway. So at some point you want to convert that into services and software, right? That doesn't mean that you're going to charge subscription for the device.

If you look at the current Apple ecosystem or Android ecosystem, I think the hardware is not going to be the number one money contributor. It's really hard to make that on top of the margin of the hardware anyway. So at some point you want to convert that into services and software, right? That doesn't mean that you're going to charge subscription for the device.

What I think is very promising is that we're going to slowly roll out the teach mode to beta testers. And hopefully by the end of this year, we can like, Grant opened the teach mode as we promised on day one. So all these lessons created or rabbits or agents created by each independent users or developers, they can be considered as a new generation of App Store. On that, we can make big money.

What I think is very promising is that we're going to slowly roll out the teach mode to beta testers. And hopefully by the end of this year, we can like, Grant opened the teach mode as we promised on day one. So all these lessons created or rabbits or agents created by each independent users or developers, they can be considered as a new generation of App Store. On that, we can make big money.

What I think is very promising is that we're going to slowly roll out the teach mode to beta testers. And hopefully by the end of this year, we can like, Grant opened the teach mode as we promised on day one. So all these lessons created or rabbits or agents created by each independent users or developers, they can be considered as a new generation of App Store. On that, we can make big money.

Using the App Store economics of taking 30%- I don't want to invent any, exactly. I think it's very, I think I'm not trying to invent any new business model. I think as a startup, it's very risky to invent your own business model. But there is a very great business model out there, which is App Store. And that's contributing like, what, 70% for the annual income, right?

Using the App Store economics of taking 30%- I don't want to invent any, exactly. I think it's very, I think I'm not trying to invent any new business model. I think as a startup, it's very risky to invent your own business model. But there is a very great business model out there, which is App Store. And that's contributing like, what, 70% for the annual income, right?

Using the App Store economics of taking 30%- I don't want to invent any, exactly. I think it's very, I think I'm not trying to invent any new business model. I think as a startup, it's very risky to invent your own business model. But there is a very great business model out there, which is App Store. And that's contributing like, what, 70% for the annual income, right?

We have to separate two different systems here, or maybe three different systems here. Let's talk before yesterday, because yesterday is really a great milestone. Before yesterday, what happens is that you talk to the R1. We have an intention triage system, which basically we convert this audio to a text.

We have to separate two different systems here, or maybe three different systems here. Let's talk before yesterday, because yesterday is really a great milestone. Before yesterday, what happens is that you talk to the R1. We have an intention triage system, which basically we convert this audio to a text.

We have to separate two different systems here, or maybe three different systems here. Let's talk before yesterday, because yesterday is really a great milestone. Before yesterday, what happens is that you talk to the R1. We have an intention triage system, which basically we convert this audio to a text.

We send that text to our LLM providers, and then we have an intention triage system from there. After the LLM understands the intention we send to different APIs or different features. There are a lot of features which is on device, like set a smart timer or something like that.

We send that text to our LLM providers, and then we have an intention triage system from there. After the LLM understands the intention we send to different APIs or different features. There are a lot of features which is on device, like set a smart timer or something like that.

We send that text to our LLM providers, and then we have an intention triage system from there. After the LLM understands the intention we send to different APIs or different features. There are a lot of features which is on device, like set a smart timer or something like that.

Or there's a simple question, but we think that there's other services or model probably answers better than the default LLM. So sometimes we send a particular query to Propaxity. Sometimes we send a particular query to Warframe Alpha. So you can understand as intentional triage system is dispensing on this to different destinations. And then the relative features will trigger.

Or there's a simple question, but we think that there's other services or model probably answers better than the default LLM. So sometimes we send a particular query to Propaxity. Sometimes we send a particular query to Warframe Alpha. So you can understand as intentional triage system is dispensing on this to different destinations. And then the relative features will trigger.

Or there's a simple question, but we think that there's other services or model probably answers better than the default LLM. So sometimes we send a particular query to Propaxity. Sometimes we send a particular query to Warframe Alpha. So you can understand as intentional triage system is dispensing on this to different destinations. And then the relative features will trigger.