Episodes

  • Ep 4- The Simplicity of Creating Content

    Ep 4- The Simplicity of Creating Content
    May 18 2023

    [00:00:11] The author discusses the importance of creating content in today's AI-driven world, and how people and companies often overcomplicate the process. They suggest discussing ways to get started and what people are doing right and wrong in content creation.
    [00:01:59] Creating content can be daunting, but it's important to just get started and be passionate about it, especially with the constantly changing landscape of social media. The key is to create content that stands out and gets into the newsfeed. Examples of how to launch a podcast quickly are given.
    [00:05:58] Overcoming imposter syndrome is key to creating consistent content, and it's important to start creating content without putting too much pressure on oneself. Tools like Riverside make it easy to record podcasts, and there are AI tools available to simplify the editing process. Don't make excuses and start creating content today.
    [00:08:50] Use Riverside to record and edit the podcast. Leverage AI by using Castmagic IO to produce transcripts, show titles, and social media content ideas in less time. Emphasize that done is better than perfect.
    [00:10:51] The LinkedIn algorithm reports are pointless and can do more harm than good as they focus on a small subset of users and don't account for different audiences and variables. It's important to understand the basics of platform culture, but getting hung up on these reports can be detrimental.
    [00:13:27] Reports and engagement metrics on social media can be misleading, and it's important to focus on creating consistent content that resonates with your audience and leverages your own strengths and standards. AI tools like chat and GPT can be helpful for generating ideas, but it's important to add your own spin and not rely solely on automated content.
    [00:17:54] Simplify content creation by not overthinking it and focusing on getting it out to the world. Use your personal style and create content as if sharing it with a friend or family member. AI tools can help, but it's important to add a human element for authenticity.
    [00:21:48] Advice for creating content: focus on what you care about, evolve your topics, share personal stories in context of the platform, and use organizational tools. Notion is recommended.
    [00:25:57] Pillars don't matter, just start posting and build the muscle. Personal interests are more important. Write down ideas, choose a format, and ship it out. Feedback is important.
    [00:27:54] This podcast focuses on discussing topics of interest without limiting themselves to a specific topic to attract listeners.
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    29 mins
  • Ep 3 - AI vs Authenticity: The Battle for Quality Online Content

    Ep 3 - AI vs Authenticity: The Battle for Quality Online Content
    May 9 2023
    Speaker A [00:00:00]:All right, IRA, welcome back to another episode. How are you, man?Speaker B [00:00:03]:I'm doing well, man. How are you?Speaker A [00:00:04]:Doing well, we got a lot to cover this week, man. I feel like this tech space is just moving at three years at the pace of like, two weeks, man.Speaker B [00:00:12]:They call it tech speed.Speaker A [00:00:15]:We got to slow it down. So I have a couple of things I want to talk about today I think people might find interesting because this is pretty relevant. And again, each of these weeks, man, we're trying to keep up with some of this stuff. I know we have some cool top topics that we want to dive into in future episodes, but yeah, the pace of this, man, is hard to keep up with things. And I want to get your opinion on a lot of this stuff. Have you heard about this new I don't know if it's a plugin, but it's with Chat GPT, the code interpreter.Speaker B [00:00:39]:Yeah, I saw you had sent me an article on it and I was checking it out, so just a little bit, but it's crazy stuff. Crazy stuff.Speaker A [00:00:47]:Yeah. So for those who aren't familiar and again, I just skimmed the article, so I'm no expert in this, and I would love to hear your interpretation of it, but essentially you'll be able now to take any kind of data, set, upload it, and then it's ultimately just going to spit out all kinds of interpretations. So for the example that they use, is somebody pulled, I believe it was a data set of all the lighthouses in the US. And they uploaded this file and in a matter of seconds, they were able to put this into charts and see where lighthouses are lighting up and get like, animations and gifs and things of that nature. So, yeah, I probably did a poor job explaining that. What's your interpretation?Speaker B [00:01:27]:Yeah, I mean, the thing is, with any data set, making use of the data is the key. Of course, we've talked about this in some of the past episodes, but I live a lot in the manufacturing space and dealing with different companies. And depending on where you are in there, I know there's lots of companies that have just a ton of data, and one of the biggest questions they have is I have too much data. What am I supposed to do with it? So having a tool like this to maybe try to figure out different charts and patterns and things is great. Now, with that considered, it could be jumping to conclusions, maybe, and potentially providing some trends of things that maybe don't really exist, but I guess that's true with any kind of evaluation. So I think the tool is really powerful. But how valid is information? I mean, the lighthouse example is cool, but really applying it to more general operations, I don't know. It would be interesting to see how it evolves over time.Speaker A [00:02:28]:Yeah, I think you have some good points there. I think the validity of it more so, I think, about things like what problems can this solve? I mean, especially in the manufacturing space, there's a ton of things, if you get the right output that you're looking for. And I think the first person I thought of was Jameson Rotts, who we had on. We'll have him back again soon. Because this is a lot of what he's doing with machine learning and the algorithms and working with companies and taking their large data sets and so forth. And so I think what he's doing is a lot more integrated in in depth. But for the general population, I think this is a good first step. Now, the thing I'm noticing with all of these tools that they're rolling out so fast, is that they are still very tech intensive, meaning you still have to understand how to use them, how to put in the custom prompts to get the output that you want, and things of that nature. What I'm actually fascinated with, though, is actually thinking at scale. I don't know what this looks like, if it's twelve months, 24 months, three years out, et cetera. But I think what's fascinating is some of the use cases of taking all of this data and having machine learning and algorithms and OpenAI use all the data to pull in to come to conclusions that could actually be beneficial to society in a good way. And I'll give you an example, is think of all the missing persons cases that are out there, right? Think of all that data if we can roll this up, these machines now, and this AI can tie those connections together, probably getting Internet access with Chat, GBT Four and so forth, and probably draw some conclusions of at least to say, hey, check out this, or here's some commonalities or correlations and so forth. That to me, is what I get excited about. This. I know you probably get excited on the manufacturing floor. I get excited just about the possibilities. I think it's going to shake up for a lot of you got families, this is going to help. But even more so, a lot of these organizations that might not have the funding traditionally to access some of these resources that could actually help them.Speaker B [00:04:...
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    32 mins
  • Ep 2 - The Potential of AI Language Models: A Discussion with Jamison Rotz, Founder of Nearly Human AI

    Ep 2 - The Potential of AI Language Models: A Discussion with Jamison Rotz, Founder of Nearly Human AI
    Apr 28 2023
    All right, welcome back to the Cold Takes Popular Opinion Podcast. I'm your host, Trevor Robinson, with my co-host here, Ira Sharp. And today we have a very special guest, Jamison Rotz from Nearly Human AI.Welcome, Jamison. Hey, thanks for having me, guys. Yeah, this is a special episode for us because you are the AI man, or at least in our circle, you are the AI expert.So do you want to give the audience a really brief rundown of what Nearly Human AI is and a quick synopsis of your background? And then we're just going to dive into some fun AI burning questions that people want to know about. Yeah, sure thing.I've been in technology my entire career, started off as a software dev and founded this company 12 years ago. Like it's a consultancy to start, but we quickly ended up moving into the data science and machine learning space and specifically natural language processing. So it's been a really interesting run.We started out when there was like next to nothing available in the space. And now here we are in the new large language model era. And so it's been a really great experience.We've seen a lot along the way and it's an exciting time. About two years ago, we kind of like we started moving from just a services company into a product company when we landed funding for our current product at Bell Cortex, and it's a machine learning platform that allows companies. To take either models that they have us create or models that they create themselves and move it out into a production deployment and connect it to their business systems.And it takes away basically, you know, like the million dollar lift worth of DevOps that it typically takes to get your machine learning technology fielded and connected with, with your business system. So that's the space that we're in right now. And with all the natural language background, you know, we're, we're really impacted by everything that's happened in the past six months since the launch of chat GPT.I can only imagine, you know, how much it's, you know, just drawn attention to what you do and everything like that. So, you know, before where you're probably trying to explain for days, what this stuff is, you probably still need to explain for days what it is, but at least, you know, people have heard of chat GPT and kind of want to know more. Well, the questions are completely different.It's like, you know, what, it used to be like, what do you mean by natural language processing? Right. You know, and it's like, how do these like things roll off of people's tongues and they're like, what's going on?What, how's this, what's happening? Right. And I remember, I remember when I, when Jamison and you and I first connected, that was one of the first things I said is like, your business probably exploded overnight.You've got that, you know, before you're in that era of marketing, there's probably a lot of concern or questions around this space. And it just seems like in the last couple of months, everything's accelerated. Almost everybody is aware of, of at least the concept now.So it really probably propelled that conversation forward for you. It absolutely has. And like I said, the questions now are a lot more interesting because everyone is, you know, open AI allowed people to just like get in there and touch it.Right. So like now people have, have actually been able to. Interact with some of this technology.And so like the thought cycles on this, like completely changed because now, you know, you see it, you feel it, you at some level of understanding firsthand. And then people are like, especially like from a business to business perspective, and that people are like, wow, how do I, how do I use this now? Yeah.And we'll dive into a lot of questions that we have around this. I just want to know off the bat. I mean, if I were in your shoes with AI and how fast things are evolving, it seems like every week there's a new tool.And then, you know, in the next week that, that previous new tool is now extinct because everyone's building on top and developing so fast. So given the fact of your building in this space and you're building a pretty big problem and solving a big problem, does this, does this give you anxiety in general at the, at the speed of development or anything of that nature? You know, it's funny.I think that like maybe six months ago, a little bit more so than now, even though it's moving faster now than it was six months ago, we are sort of in a fortunate space where we're building platforms that enable all kinds of models, including the large language models that are coming out now. From our business perspective, like we're actually able to like move with the latest technology. So I'm not building something that is in danger of like immediately being replaced by exactly what you said.I mean, it's been, it's been really exciting because I've never been in a space like this before where it's like, this is almost like a business strategy all of a sudden ...
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    46 mins
  • Ep 1 - The Common Sense of Prompt Engineering and The Future of AI

    Ep 1 - The Common Sense of Prompt Engineering and The Future of AI
    Apr 28 2023
    All right, welcome back, Ira, to who knows what episode this is. I don't know. A lot of these get corrupted and lost.And with all this A.I., you know, we think that we'd have this down in by now. But regardless, we're back, man. How are you?I'm doing well. And we'll look back at those times and we'll say, you remember all that now B roll that used to be a roll. This is B roll.Yeah. This is B roll. So I don't know if this will get released or not.So I have a question off the bat. You came across a pretty interesting study on prompt engineering. It's all the rage here, right?So fill me in on that, man. What did you find? Yeah, so I mean, it was it was a variety of different articles and other topics that I was reading about it.But prompt engineering, I mean, I don't think it's really a new thing. I mean, it's it's kind of like the evolution of Googling. But prompt engineering is is really becoming a major topic.I would even say above and beyond this whole A.I. craze of chat GPT and prompt engineering. What it is at the core is, you know, that if you've played around with the tool and if you haven't definitely recommend it, you know, chat GPT or any of these these tools is the better prompt, better thing.You can give it to to query on, to respond to and these kinds of things, the better response you get. And there is a bit of an art to understanding how you can input this stuff. And it's it's less about the tool and it's more about the subject matter.But if you're an expert or a pretty proficient person in the in the topic, you can really make some really good prompts and get some solid information back, particularly if you're giving it some context. So prompt engineering is, I think, one of the really big things that will continue to really maybe even outpace some of the buzz happening with just the general A.I. topic.Yeah, I agree. But at what point is this common sense? Yeah, I mean, it's like it's it's getting ridiculous.I see the the LinkedIn carousels like how to. And I'm like, this is common sense. It's a conversation like I'm just blown away that like, what were these people using to find their information before?How are they Googling things before? Like, I don't know, maybe just because I'm in that field. But at some point, it's got to be common sense that if you want to get information, it's almost like having a conversation with somebody like, yeah, maybe maybe there's an art to it that I'm just not seeing.But but Trevor, and this is even, I think, what separates it on LinkedIn or Facebook or wherever you're seeing these carousels. But, you know, the idea of prompt engineering isn't just asking the right question. I think it's also giving it the context, because if you're just asking it the question, OK, I mean, that is good.That's powerful. But if you provide it, say, the transcript of this video, right? And maybe all the other videos that we've done.And then you ask it various questions about that in context with other resources that are out there to get some sort of solid output. I think that's really where the value comes in. So the prompt engineering is as much about giving the tool, giving the platform, whatever it may be, the the research, the background, what you want to pull from, plus the other resources you want to pull from, plus asking the questions in the format that you want and to get that output.It's like programming without programming. You don't necessarily need to have the you don't have to need to know how to do like Python or C or any of these other programming languages. But I think you need to think a little bit like a programmer if you want that kind of output.But that makes sense. Do you think it's more about the prompt or do you think it's about the individuals just don't really know what they want? Right.Because like, here's a great example. If I let's just assume you and I are going to lunch, right? I look at this and I'm like, Ira, where do you want to go to lunch?That's kind of like a basic prompt. I'm going to get a pretty, you know, generic output. But then if I know that, you know, you love Mexican food and you love it and I want to kind of see, I'm going to I'm going to kind of probe you with some context around that.Right. So I think that's the bigger the bigger issue is that because if I want to really get some research, right, let's just say I want to find some research on, you know, whatever it may be. I'm probably not just going to go put a basic prompt in and expect it to read my mind.Maybe this is common sense. Maybe I'm way off base. I'd love to know what people think about this.But I mean, I think what Chats GPT is shown in all these other tools is really it's scary. It's just the lack of like, I think it's lack of common sense. It might sound harsh, but like, I don't know.But these people are paying big salaries. What was the number that you threw out? Like two hundred and fifty grand or something?Yeah. The the salary of a solid prompt engineer. Some...
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    30 mins