Ray Fernando
speaker
138 appearances
1 recordings
1 series
first heard Jan 2025
last heard Jan 2025
Ray Fernando’s voice in public audio — every appearance, attributed to the second.
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Appearances
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.
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.
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 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.
I think this is a really good primer for folks to get started on the power of prompting and especially with these reasoning models just to get started. So we covered being able to get started with prompting, understanding where your data is going.
You know, if you're using deepseek.com or using the apps that will go directly to China and their restrictions and things that they have for your data privacy. So just beware. I wouldn't personally be putting any personal information in there that you don't want exposed. And then there are other providers that you can use right now and other people that are still spinning up at this very moment.
So for now, Fireworks, OpenRouter, Grok as far as inference. And then we also covered here running the models locally so that you can actually run them on your phone. using the Apollo app I was using. It's a paid app, but I find a lot of value from it. And I'm not sponsored or anything like that. I just love the work that these people are doing. And it's really good stuff.
You can connect to these endpoints with them. And then the other part is running this through Ollama locally on your Mac and using WebUI with Docker and stuff. So I think there's a lot to be taken care of here as far as trying to use these models and come up with different app ideas.
And if you have an idea, just start to use the playground to try to generate some prompts for it and see if you can get the output that you want. And that could be the beginnings of your next multi-million dollar idea that you don't even know is there, right? So it could be hidden in plain sight. And I think that's the power.
If you want to reach out to me, you can just go to rayfernando.ai and book some time. We can have a conversation. We can get you set up because some of this stuff is very cumbersome and it's just easier for me to walk you through this. And so I'm available there as well. You can find my YouTube channel, Ray Fernando 1337 on YouTube. Feel free to check that out.
I do a lot of live streams of where I check out new technology and try to play around with these AI models and try to discover what's going on and also try to bring on experts to explain things a little bit more for us. So Greg, such a pleasure to have me on the show. This is really amazing.
Yeah, I'm glad that it's something is here to like make more people aware that there's a lot of intelligence and how fast it's moving. And I want to also add that, like, please don't be fearful or don't feel like you're left behind. If you're just finding out about this, you're not that far behind. We're all actually still trying to understand. what this intelligence can give us.
And so the prompts and the things that you develop is a good place to start. And, you know, it doesn't have to feel complicated. And, you know, whatever you can get your hands on, make sure you do that. And, you know, be aware of where your data is going.
But at the same time, play, discover, share, share back with the community and definitely share any cool stuff that you've done in the comments for sure.
Take it easy. Thanks.
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