Ray Fernando

that can run these models and the power of, uh, Apple's MLX infrastructure and also their, uh, AI technology is the fact that, you know, these, these are really optimized to run these models. Um, you know, very small as we're seeing right now. Um, so that thought for 49 seconds, uh, and it gets us this output.

that can run these models and the power of, uh, Apple's MLX infrastructure and also their, uh, AI technology is the fact that, you know, these, these are really optimized to run these models. Um, you know, very small as we're seeing right now. Um, so that thought for 49 seconds, uh, and it gets us this output.

that can run these models and the power of, uh, Apple's MLX infrastructure and also their, uh, AI technology is the fact that, you know, these, these are really optimized to run these models. Um, you know, very small as we're seeing right now. Um, so that thought for 49 seconds, uh, and it gets us this output.

Uh, yeah, please excuse my small screen, but, uh, we'll probably have a zoom in on this, uh, for the edit. So yeah, yeah, yeah. That's, that's pretty sweet.

Uh, yeah, please excuse my small screen, but, uh, we'll probably have a zoom in on this, uh, for the edit. So yeah, yeah, yeah. That's, that's pretty sweet.

Uh, yeah, please excuse my small screen, but, uh, we'll probably have a zoom in on this, uh, for the edit. So yeah, yeah, yeah. That's, that's pretty sweet.

Yeah, I think that also goes to the point a little bit about what some of these models do. So one thing I just learned very recently about GPT-4 and ChatGPT's Omni models is the fact that this model's breakthrough, a little bit different than R1, is the fact that it can actually understand audio and tone and all these extra implications that we don't know about. especially for negotiation.

Yeah, I think that also goes to the point a little bit about what some of these models do. So one thing I just learned very recently about GPT-4 and ChatGPT's Omni models is the fact that this model's breakthrough, a little bit different than R1, is the fact that it can actually understand audio and tone and all these extra implications that we don't know about. especially for negotiation.

Yeah, I think that also goes to the point a little bit about what some of these models do. So one thing I just learned very recently about GPT-4 and ChatGPT's Omni models is the fact that this model's breakthrough, a little bit different than R1, is the fact that it can actually understand audio and tone and all these extra implications that we don't know about. especially for negotiation.

Imagine if you can understand someone's breathing rate just from listening to the audio. That's the capability of something like the 4.0 models with audio. You just give it the audio and it's going to know tone. It's going to know cadence. It's going to pick up things that we just normally don't think about.

Imagine if you can understand someone's breathing rate just from listening to the audio. That's the capability of something like the 4.0 models with audio. You just give it the audio and it's going to know tone. It's going to know cadence. It's going to pick up things that we just normally don't think about.

Imagine if you can understand someone's breathing rate just from listening to the audio. That's the capability of something like the 4.0 models with audio. You just give it the audio and it's going to know tone. It's going to know cadence. It's going to pick up things that we just normally don't think about.

But people who are maybe skilled negotiators can understand what those implications mean and then can say, hey, give me some outlier things. Every time I give this person a response, it can answer in milliseconds what the differences are. And I've heard these terms of micro-expressions.

But people who are maybe skilled negotiators can understand what those implications mean and then can say, hey, give me some outlier things. Every time I give this person a response, it can answer in milliseconds what the differences are. And I've heard these terms of micro-expressions.

But people who are maybe skilled negotiators can understand what those implications mean and then can say, hey, give me some outlier things. Every time I give this person a response, it can answer in milliseconds what the differences are. And I've heard these terms of micro-expressions.

And if you have an Omni model, you can actually mimic these micro-expressions and say, okay, this person is off when we ask them these types of things or changes their position. And those are the things that you really can't get today with some of the, you know, current reasoning models, but except for like the Omni models, which is the, you know, 4.0 models.

And if you have an Omni model, you can actually mimic these micro-expressions and say, okay, this person is off when we ask them these types of things or changes their position. And those are the things that you really can't get today with some of the, you know, current reasoning models, but except for like the Omni models, which is the, you know, 4.0 models.

And if you have an Omni model, you can actually mimic these micro-expressions and say, okay, this person is off when we ask them these types of things or changes their position. And those are the things that you really can't get today with some of the, you know, current reasoning models, but except for like the Omni models, which is the, you know, 4.0 models.

And so it's going to be really exciting when they actually dropped 0.3. I think a lot of people are going to be taken by storm of like, what's actually really going to come out from them. It's going to be a really, really big leap.

And so it's going to be really exciting when they actually dropped 0.3. I think a lot of people are going to be taken by storm of like, what's actually really going to come out from them. It's going to be a really, really big leap.