Ep 289: From Conversations to Content – AI’s Role in Storytelling and Productivity

AI Improvements for Enhanced Speech-to-Text Technology

We've witnessed immense advancements in AI technology in recent years. One such enhancement is the development of large language models like OpenAI and NVIDIA's Canary, producing state-of-the-art transcription tools. Offering products such as Whisper and Canary, these tech giants are creating opportunities for businesses to transform the way they generate and consume content.

Open-Source ASRs Versus Real-world Scenarios

While these advanced language models flourish in digesting professional, clean audio recordings, real-world audio tends to present a challenge. Be it background noise, accent variations, or overlapping voices, open-source Automatic Speech Recognition (ASR) systems often stumble in these areas. However, tailored transcription services, built with sophisticated technologies, stand out in such settings, thereby revolutionizing the transcription industry.


The Shift from Manual Note-taking to Automated Transcriptions

One area where AI has significantly impacted is note-taking. Especially in meeting contexts, where active participation and immediate engagement are paramount, automated transcription outshines traditional methods. Besides saving time, AI-generated notes guide users on their next steps and key follow-ups, marking a shift from antiquated practices.


How AI-enhanced Meetings Enhance Communication

One significant advantage of AI summaries in meetings is the possibility of attending fewer, more focused meetings. This factor also contributes towards promoting effective communication, creates more room for meaningful discussions, and reduces the number of attendees.


Transcription Services as a Productivity Booster

Transcription services do not merely convert voice to text. When used strategically, they can serve as a powerful productivity tool. This benefit is particularly significant for business leaders, who can capture valuable insights and ideas from meetings, especially those that are not documented explicitly.


The Imperative of Quality vs Quantity in Meetings

Another aspect to consider when leveraging AI in business communication is maintaining the human touch. Technology might be enriching conversation quality, but the value of human connection and in-person interactions shouldn't be lost. It's about finding a synergistic balance between leveraging technology and fostering genuine human connections.


Storytelling & AI: The Connection

Adoption of emerging technologies, undoubtedly, leads to job evolution. While it's true that AI can automate certain tasks, it's also creating new opportunities. The focus should be on leveraging AI to handle mundane tasks and allowing employees to concentrate on more complex, value-added work.


The Final Word

In this dynamic landscape, it's clear that businesses need to stay updated and willing to experiment with novel tools. By adapting technology into everyday routines, efficiency and effectiveness can be amplified, propelling enterprises to new heights of success.

Topics Covered in This Episode

1. Large Language Models and Transcription Services
2. Optimization of Meetings and Communication with AI
3. Personalized AI and Work Efficiency
4. Future of AI Tools


Podcast Transcript

Jordan Wilson [00:00:18]:
Meetings can be kind of terrible sometimes. Right? Like, when they're stacked up back to back to back, and it seems like you're saying sometimes the same things over and over. And then what happens with all of that? Right? Like, what happens with all of those great insights between you and your team or or you and potential customers? What do you do with them? That's your company's IP. That's your company's secret sauce. That's your knowledge. How can you take that and not just be more productive with it, but tell better stories that maybe help you sell more, create better relationships, and grow your company and grow your career. That's one that we're gonna be talking about today, and one I'm personally very passionate and excited about. So, I can't wait to talk a little bit about from conversations to content and how AI's role in storytelling and productivity is completely changing.

Jordan Wilson [00:01:11]:
Alright. So, before we get into that, if you haven't already, like, why haven't you? Go to your everyday ai.com. Sign up for the free daily newsletter written by humans for humans who want to grow their companies and careers. Alright. Before we get into today's topic, let's go over as we do every day the AI news. A lot of spicy stuff going on today. So, 1st, OpenAI, Microsoft, NVIDIA, and, well, they might be in some hot water right now with federal regulators. So the US Justice Department and Federal Trade Commission are launching investigations into NVIDIA, Microsoft, and OpenAI for anti competitive behavior in the AI industry.

Jordan Wilson [00:01:51]:
This is part of a wider effort by the Biden administration to challenge monopolistic practices in various industries. So, the the FTC has a particular interest in the AI industry with these investigations between big tech and AI developers. So, yeah, we'll see how that happens. I mean, part of it is, like, okay. Are they being anti competitive, or are they just so far ahead of everyone else? I mean, that's what I've been saying since day 1. Alright. Next piece of AI news. Well, the AI wearable that few people thought was a good idea is now reportedly looking for a buyer.

Jordan Wilson [00:02:24]:
So AI heart hardware startup, Humaine, which, founded the Humaine Pin, was founded by ex Apple designers. Well, they are now reportedly seeking a buyer after lukewarm reception of its AI device. The company has hired an investment bank and is in talk right now with potential buyers. So like I said, Humane is seeking a buyer after its AI pin device was met with a kinda tepid reception with reviewers calling it untrustworthy and not very useful. The company did raise a $100,000,000 in funding before announcing its device, bringing its funding to over $200,000,000. So make sure you stick around. We'll be talking about that when and if they do actually find a buyer. Alright.

Jordan Wilson [00:03:05]:
Last but not least, OpenAI is showing off inner workings of its chat gpt model after facing some criticism. So OpenAI just released a new research paper showcasing its efforts to improve AI safety and explainability after former employees of OpenAI criticized the company for taking risks with potentially harmful AI technology. So OpenAI has faced recent turmoil with some high profile departures, and leadership changes. So this new research focuses on making the inner workings of AI more transparent and controllable. Other companies such as Anthropic are also working on AI interpretability. So, we'll have a link to that so you can read that. And another thing, well well, find out why Apple is gonna start calling AI Apple Intelligence in our newsletter. Alright.

Jordan Wilson [00:03:55]:
So that's enough about the AI news, but, you know, make sure to go to your everydayai.com if you haven't already. So if you're listening on the podcast, we always leave those show notes. If you're joining us live, I am stoked for today's guest. So, here we go. Please help me. Welcome on the show. There we go. We have Jason, Chikola, the CEO and founder of Rev.

Jordan Wilson [00:04:16]:
Jason, what's up? Thanks for joining the Everyday AI Show.

Jason Chicola [00:04:20]:
Hey, Jordan. Great to, well, great to do this with you. Really excited to be here. Enjoy your show, and, happy to talk about AI.

Jordan Wilson [00:04:26]:
Oh, let's get after it. So, I mean, tell us a little bit about yourself and a little bit about Rev.

Jason Chicola [00:04:33]:
I never sought out to be an AI entrepreneur. I kinda, I kinda fell into it, maybe tripped into it almost accidentally. You know, my story is in the gig economy. So 20 years ago, I left a venture capital firm and helped to start a company called Upwork, which is a labor platform where people work online. It's the largest platform where people services on the Internet, it's called the company. And what appealed to me about gig labor is it levels the playing field. It really allows people anywhere in the world to live their dreams. You know, most of us are kind of stuck in an office, stuck in a cubicle, work for a company.

Jason Chicola [00:05:08]:
And when you unshackle yourself for a regular job, when you're a freelancer and you are a freelance, I mean, the word freelance comes from the middle ages and being a freelance with, like, a a weapon, which is not really what it's about, but a freelancer is free to do what they want. And the freelancers on Upwork and freelancers on Rev, but to wake up in the morning and decide, what do I do today? Do I work today? Do I pick a hike? Who do I work for? That freedom I think is very powerful. It also levels the birth lottery. You know, I've worked my career in cities like San Francisco and Boston with a lot of opportunity. What about the guys in Siberia or the folks in the in in small towns? I think freelancing, you know, remote freelancing is such an opportunity. It doesn't get enough focus because we all think about the Uber driver, which is important. But what about all the geographies that can't get there? Well, I started Rev to create jobs for people. Here you full stop.

Jason Chicola [00:05:59]:
And what we discovered early on, we want to create a job where technology would be transformative. We had early success in jobs that take speech to text. But we have, large marketplaces around transcription of audio, captioning of video, and subtitling videos. All three of the services are basically speech in and text out. So you could think of Rev as, like, quote, Uber for typing. Right? So why am I on this podcast? I had to mention AI one time in in an effort to make those jobs better, to make those jobs more lucrative, make those jobs more productive, to serve the client faster, to make more money for people, and to make more money ourselves, we developed AI from scratch, proprietary out of the box to assist the worker. So our first act was to build AI to make gig jobs better. We've done that and the byproduct of that is we've been able to produce, an AI model for converting speech to text, a so called ASR, automatic speech recognition, that is the best in the world, is most accurate.

Jason Chicola [00:07:00]:
I can prove it several ways to Sunday. Some of the world's biggest platforms like Vimeo and Axon run all video and audio through Rev because of this, and our logo which I have here on my shirt is a stylized human ear, right, Because what does the ear do? It listens. We think listening is really important for human interaction and our technology, the forefront of listening.

Jordan Wilson [00:07:21]:
And, you know, it's it's interesting. Right? Because in in a way, Rev was before. Right, before this, you know, AI craze that we're all seeing now. And now it seems like just about all of these large language models are starting to offer some sort of, you know, transcription. So, you know, I've gotta ask your take then since, you know, you were kind of, you know, before, you know, before everyone else. I mean, what's your take on, you know, all these large language models now offering, you know, transcription among other things?

Jason Chicola [00:07:54]:
Large language models like OpenAI in particular have really raised the bar, in the world of speech to text. OpenAI, of course, has open sourced a product called Whisper, which is, Whisper Whisper is a is a good open source speech engine. There's another one from NVIDIA, called Canary. It's also I think worth checking out and you know what these guys have done, I mean for our business, there there's 2 effects, you know, it's a double edged sword, they certainly have commoditized a certain part of the market, whereas if you have really clean audio like a podcast, frankly, this podcast is easy to transcribe because I'm sitting here with with, you know, microphone and sound booth and all these great acoustics. Go for really clean audio that's recorded in a professional studio. The open source ASRs are pretty good. Rev tends to operate in a world of kinda real world audio. Typical meeting is a much messier environment.

Jason Chicola [00:08:48]:
Audio is not nearly as good. And in those environments, the open source models aren't that effective, and ours really shines because we have a decade of transcribing world's most challenging audio. But but, I mean, I'll just summarize it in, what these LMS have done is they've woken the world up to the fact that every conversation is an opportunity to convert voice to text input. And so the world the world of transcription is growing exponentially right now, more than ever before. I've been doing transcription for more than a decade, and the curve on audio transcribed is going vertical. Right? And AI is driving that growth because you can do it everywhere. Jensen Wong was on stage at GTC in April with, like, 20 robots, and they all have to listen. So, that's in short, how has that affected my business? There's certainly some commoditization at the low end of clean audio is not easy to transcribe with open source, but the big opportunity is everyone in every industry now is thinking, hey, this application would be more effective if I was listening.

Jason Chicola [00:09:49]:
So I think there's a market expansion that's happening. It's pretty exciting.

Jordan Wilson [00:09:54]:
You know, you bring up a great point because, you know, even as I'm sitting here talking with you right now, I'm taking notes. Right? Which I think when you're in a meeting, you know, when you have a meeting transcription, it it helps with this. But, you know, I'm curious. How have you seen meetings change or maybe how do you think they should change? Because, you know, someone like myself, I'm a former journalist. Right? So it's habit for me to always be typing nonstop. And then sometimes I realize, oh, when I'm typing notes, I'm not actually an active participant. How do you think, you know, this new kind of world of, you know, transcription on demand kinda like what you said, it's, you know, in some ways commoditizing, but it's bringing, you know, light to how we meet. So how do you think that transcription is is changing just meetings in general?

Jason Chicola [00:10:46]:
So first on notes, you know, I went to college in the late nineties, right? And you have a 100 students sitting there taking notes, doing kind of lousy transcription, which, which really seems like a horse and buggy moment in a world of today. We're like, why are they doing that? Why don't we just transcribe it all? Clearly, today, you know, automated transcription and replace note taking in a lot of context. To your point, you know, we wanna live in a world of connection where you build real relationships. And if I'm looking at you, I mean, you know, you know, I'm looking looking at you in the eyes right now through a camera. Right? You know, body language, like mirror physical mirroring is important. If if you know anything about human relationships, you know that it's important to connect and have those relationships and which is why being in person is better than remote, really better than a phone call. Right? If I'm sitting down with my you're not connecting. Right? So you certainly get out of the meeting.

Jason Chicola [00:11:35]:
Any good salesperson will not take notes and they'll engage the person who try to connect. Right? But then let's go forward to why are you taking notes. You're probably not reading them later. You're probably trying to remind yourself what you're gonna prompt me on. But I'll tell you, I think, where this is going. 1 of our, one of our our service lines that that's really loading right now is we're helping people in the legal space, with, say, transcribing depositions and and things in the courtroom. Right? And if you and if you're a lawyer deposing somebody else, you're asking questions. Now you're not making a friend, you're in an adversarial context trying to ask somebody tough questions to maybe catch them in a lie or catch them in the case.

Jason Chicola [00:12:12]:
And what you want the AI to do is not give you notes, but tell you what to ask them. Ask someone else to tell you what to say. So I think note taking is really antiquated. It's gonna be replaced by automated notes in a really smart AI. If it understands your objective, it's gonna prompt you on what you should be saying or asking next. So I I think it's gonna change in a big way.

Jordan Wilson [00:12:33]:
How do you see that changing? Right? Because it's something I think about all the time. I I start to think about, you know, oh, are meetings even needed, or do 50 people need to go if if we have great, you know, transcription technology, you know, like Rev or some of the other, you know, models that that you mentioned. I mean, how do you see just transcription helping or changing how we meet?

Jason Chicola [00:13:00]:
I'm gonna give you an example of one of my employees, I spoke to yesterday. His name is named Ryan. Who was telling me that, you know, he he his job is to make our engineers more productive, and he's looking at, what a lot of teams are doing. And he was saying he was trying to be in 10 meetings a day, and he realized he was killing himself. And so now his calendar will have, like, 5 meetings at one time. It tends 0 of them often. Right? And then he gets to AI summaries, which allows him to then check-in with the leaders and say, oh, how's that one project doing? Is it on is it on track or not? How can I help you with oh, I see you're you're stuck on this feature? How can we help you over? Right? So the first thing I would say, the the first kind of rule of of meetings in the AI world is attend fewer meetings. Right? Be really thoughtful about your time.

Jason Chicola [00:13:45]:
Most meetings should have fewer participants, like 2 or 3, not 20. Right? And when in doubt, skip the meeting, get the summary, look at the summary, and then ask yourself, am I accountable for anything in that meeting? If there's an issue here, let me take up the phone and call the guy for 2 minutes and talk about, hey, let's make sure that we're on track with this one thing and that I need to work with you on. You know, it's a shortcut. Skip meetings, use the summary. But I would say communicate with the people involved, right, about the issue you care about. Because what happens is most people in the meeting attend those hour long meetings for for the one minute that's relevant to them. Mhmm. 59 minutes that they wasted.

Jason Chicola [00:14:23]:
Right? And that actually creates, I would say, some cultural toxicity. Right? And here's how. When you're in a meeting, is your camera off? I would say not good manners, dude. Right? I mean, that's not that's not nice. I don't wanna be in a meeting. Like, why is somebody there? Are are they you know, are they flipping in the bird or they have the toilet like why why is the camera off okay and so people do that because I joined this meeting for that one minute right so we've reached a state where people use meetings the wrong way, and and yet skipping meetings, that's the start of a more productivity.

Jordan Wilson [00:14:56]:
Yeah. Let's let's go down that that productivity path. You know, as as someone that, you know, yes, I, you know, do a daily podcast, so I have a lot of audio and, you know, so I use different AI tools, and I can see how, you know, using transcription services like Rev can can lead to greater productivity. So so maybe, Jason, for, you know, those business leaders out there that aren't convinced. Right? And they just maybe have, you know, recordings of their meetings or they're maybe in meetings all day and they don't even record them. What are they missing out on ultimately when it comes to being more productive?

Jason Chicola [00:15:33]:
So I'll give you an example that I used, like, you know, in the last few weeks. And and then and then I'll go from there and talk about how storytellers can use it. I love using meeting transcription to capture, customer insights in a in a more official way. Right? In business, like, when you're trying to get things done, you wanna sell your ideas not with anecdotes, but with data. And how do you get data out of conversations? Summarization is a great way to get data out of conversations. The big kind of formula I would tell you guys is that, conversations are where the most important stuff happens. The most important information in your life is in conversations and you're probably filing it in a trash can. You probably keep your if you get a tax return, you probably like get in and put into Dropbox if you're a responsible person, but then you never look at it again.

Jason Chicola [00:16:28]:
Right? Your files go into Dropbox, but your conversations are lost. If you ASR plus LOM leads to insights. And so here's what you can do and here's what I'll do. If I have a series of conversations with some of our customers in the storyteller space or the legal space, we run those through our our our software, and what it does is it distills really clearly the customers are annoyed about x, y, and z, and they want us to build a, b, and c. I can then show that that by my teams and they're like, yeah, we gotta get that done. Right? And now it rises above the level of, like, one person said it yesterday, but, like, they're all saying it now. Right? And so the job of a leader, it well, some of the leadership, everybody can be a leader. I'm a leader of a company, but everyone in my company can be a leader.

Jason Chicola [00:17:16]:
If they're leading people to do the things that matter, how do leaders lead? They communicate. How do how do they communicate if they're good at it through a story? How do you tell stories by listening? How do you listen with our technology in the ear? If you wanna be a better leader and communicate, you're, you know, you communicate every day. You're you're creating ideas and impressions Right? In your business, the more conversations you can ingest, you're gonna find patterns. So this voice AI finds patterns to the data so you can get better insights and make your case and be be be more persuasive. That's how it helps every leader in every company.

Jordan Wilson [00:17:51]:
And I feel, you you know, speaking of just stories, Jason. Right? Like, that's to me, that's what sells. That's what makes, you know, whether you're in, you know, b to b sales or, you know, b to c, I don't think it matters. My my take is, you know, the AI and large language models have kind of made the the average, you know, piece of tax or block of sales email, commoditized. It's it's not as good. So, like, you really need to bring out that human side and that that storytelling I think is gonna be a huge skill set, you know, moving forward. So how does AI in general and being able to capture all those conversations and like what you said, turn all this, you know, unstructured, you know, data and unstructured conversations into data and the ability to tell stories. So how does this just help people tell better stories? Right? Like, if I have all these transcriptions, how can I use those transcriptions to tell better stories, whether it's internally or, you know, to external stakeholders?

Jason Chicola [00:18:54]:
Obviously, I'm happy you asked. So we're about to Rev's about to release the most important product product, development in our history at the end of q3, at the end of August, called Voicehub, which is intended to be far more than a tool to transcribe one meeting, but rather a platform to take all the important conversations in your life, put them in one place. And when you go for one meeting, one transcript, which you can get out of Zoom, to everything in your life, it's so much more because so what people need to do, and they could do this through Rev or or other places by by piecing it together, is you wanna wanna remember stuff. You wanna capture all your conversation, all your meetings, all the recordings you do, interviews of people, dictation notes to self. At night, I walk my dog when my kids are asleep, and I I dictate things I need to do. You take all that content and you put it in one place, and then what's gonna happen is that when when you wanna make it when you wanna write a story, you have the ingredients there for you. When you wanna get insights and make the case for what your customers need, what your business should do next, you have it there. If you want something to prompt you, over time, what we're gonna be able to develop is actionable prompts.

Jason Chicola [00:20:07]:
If last week you said 5 times you needed to, like, take the dog to the vet, it's gonna remind you, why did you why did you do that? I don't I don't see that on your calendar. Like, or, you know, you said you're gonna file your taxes. Have you done that? Are you sure? Hey, I just lost the, the image here, and also maybe it'd be great if you could fire back up I can't see anything here. So indulge me a second. I wanna just compare what we're doing to what people are seeing from big l m companies, which is which is so inspiring. I mean, OpenAI is is a once in a lifetime company that has really opened the world up to what to what AI can do. What open idea that's so amazing is they taught the world the power of LMS. But there's a couple of things about the company that I think are funky, and I wanna compare the impression they're putting people's minds, particularly through the release of 4 o, with what we're doing.

Jason Chicola [00:21:01]:
Yeah. I mean, so open at the funny company because it's not open. It's a closed model. It's not really HEI. It's a machine learning for picking what word comes next, which is cool. It feels it feels like, you know, the elements feel like HEI. It's not quite, but it's it's pretty smart in a sense when you go deeper what you find is that because it's built for every use case in every tool it's never going

Jordan Wilson [00:21:24]:
to be that accurate or that

Jason Chicola [00:21:25]:
on point for one purpose but it's certainly provocative Now there's a vision there's there's something that people are craving okay but what they're craving is maybe best captured from the movie her the movie her okay is in people's heads it's like inception in printed info Right? And so why did open AI 4 o launch with a voice that sounds just like Scarlett Johansson? Because they wanted people to think about her. That's why Scarlett Johansson is suing them because they didn't get get get get, you know, pay pay her for her likeness. Okay? But but the movie her is deeply imprinted in people's heads. This idea of this AI is gonna help me in my life. And what people can feel at their gut is that's gonna happen or some version that's gonna happen. But now let me tell you what I think is gonna happen. And so, we're not building her per se, opening eyes, find a build her let you think for building her. I'd compare what we're doing to a product that those of you who are probably over 40 will recognize.

Jason Chicola [00:22:20]:
Hope Evernote. Do you remember Evernote? Oh, yeah. So I was big on Evernote in 2010 I went to Evernote conferences, my co founder wore Evernote socks, wore socks with Evernote on okay? So Evernote for those that don't know has, is a tool. This is before audio was relevant, but all your text in one place And their logo was the elephant, and the logo was the elephant because elephants supposedly have a great memory. I have no idea if elephants have great memory. People think they have great memory. The idea of Evernote was you never forget anything. Mhmm.

Jason Chicola [00:22:50]:
Right? And that's really appealing. So the CEO, I saw him speak one time, and he's like, we're gonna be your digital brain. We're gonna be your infinite memories. You never forget a thing. Okay. That's really powerful. Now think about her. How would you build her? In the world of lms? Do you want l m that's just sort of generic that knows where pizza is? You want l m that knows you.

Jason Chicola [00:23:11]:
Right? So the LMS have this thing called a context window where it knows this much about you and the rest is generic information. But if you want a great AI to tell you what to do and be more effective, it needs to really understand you. Rev, VoiceHub, is your context window because you put in all your information, and now we're not gonna tell you about random stuff in the weather, we know all about you or or or this this tool will know all about the things in your life And so our our view, my vision, our vision for Voicehub is that every person has an opportunity to capture conversations in one place, and then be way more effective. We decided this could be useful for anybody, because who wouldn't want an infinite brain? We had to decide who's it gonna who can build it for. We decided to build it for storytellers, In part because we have a ton of reporters and media folks that use our product. But in part, because I'll give Steve Jobs credit for this quote that I really like. When Steve Jobs bought Pixar, he said, the most powerful person in the world is the storyteller. The storyteller sets the vision, values, and agenda of an entire generation.

Jason Chicola [00:24:15]:
Storytelling. Storytellers punch above their weight. Journalists punch above their weight. Leaders who tell stories punch above their weight, and so we felt let's make this tool productive. So so how it's gonna help, but here's what a reporter can do with Rev. Every interview they conduct, they capture via mobile, via meeting, via other device. Now when they go to write a story, we're gonna help them write it faster. Transcripts, summaries, and in the near future, drafts of the story.

Jason Chicola [00:24:46]:
But what everyone's afraid of AI content. You said in your opening, our newsletter is humans written by humans for humans. So to be clear, I don't recommend reading articles written by AI. I don't wanna read articles written by AI. Right? But I want great articles written by people assisted by technology. K? So, you know, people like to talk about add pilots, add copilots. Nobody says I wanna air pilot. Right? Nobody wants to air pilot to fly the plane.

Jason Chicola [00:25:12]:
We wanna air copilot with a human in charge, but I wanna read article by a great journalist that used AI to help them. And so in a world where journalists are under pressure to write so often, right, they're not paid well, they don't have much many tools, our AI, Rev's Voice Hub, is going to help reporters by giving them a draft of the story, and that's gonna help them be more effective. It's like every reporter gets an intern for free. Like, if you had an intern, that's what they would do, and that's what a voice up can do for foretellers.

Jordan Wilson [00:25:41]:
Man, so many so many like, I could ask you, like, 30 follow-up questions, you know, as a former reporter. I mean, we just touched on, you you know, HER and GPT 4 o and all these things. But, you know, Jason, what what I what I wanna get to and what's interesting to me, out of all of this is, you know, you're you're talking about, you know, Voicehub and, you know, you brought up this, you know, example of the Evernote CEO talking about being your digital brain. I think and and this is maybe just a hot take, but I I I I wanna hear your your thoughts on this. Right? For me, you know, when it comes to AI and jobs, right, we talked a little bit about this yesterday. You know, I do think that there's gonna be a lot of displacement, you know. This isn't what the show's about. But, anyways, but I think, you know, people always talk about upskilling, reskilling, and, you know, how can you keep your best employees and and what should they be doing.

Jordan Wilson [00:26:32]:
And my hot take is something around something like Voicehub. I think that there's going to be an increased need for employees to capture all of this internal information. I think in the future, you know, we're not gonna be relying on, you know, a a large language model, 90% of it, and then using 10% rag. I think it's gonna be the opposite. So so, I mean, what's your thought on that? You you know, just in the future, you know, are we gonna see a lot more emphasis on big companies, small companies, Fortune 1 100, essentially having internal data collectors and storytellers who are just having conversations. Right? I was just having, you know, working with a a huge company and talking about the same thing. Do you see that happening and just, you know, you know, services like like Rev and other transcriptions being an integral part of essentially collecting a a company's internal IP and that secret sauce and and putting it all into, like, a hub for everyone else to work with?

Jason Chicola [00:27:32]:
I think the key answer is that, whenever there's techno technological change, the winners are people that embrace that technology, use it, and run with it. If you ignore the technology or an ostrich, put your head in the sand, right, you're not gonna win. And I got to college in the late nineties, and I was in college where the Internet was happening. And fast forward, you know, 10 years later, I'm in the workforce. Okay? And I'll I'll mention something a little bit spicy that everyone's seen. You know, you're looking at resumes and somebody applies for a job in 2010 with an AOL email. And somebody go somebody in the team goes, oof, like and they literally say can they use the internet? They asked that question. Okay.

Jason Chicola [00:28:09]:
May or may not be a fair judgment for folks with AOL email accounts. Right? But there was an understanding by 2010 that using the internet was really important and you needed to do it and embrace it to be an effective part of society, Right? And so every cycle where there's new technology, certain jobs go away, many new jobs created. Nobody can totally predict the jobs of the future. Right? But I would predict that, there's gonna be tons of people that are are are crafting stories and insights to make decisions, and they're using AI a pipeline of AI tools to make them more effective. What I'll tell you maybe I'll put a bright spot here because people ask this question with fear of, oh, our job's gonna go away. I'd flip it and say, do you like taking notes? Do you like grunt work? Does any internal transcribing? Right? You know, we serve folks in market research and their job is to go and say, which which guy are you gonna vote for the election based upon your views on the economy, the board, or whatever? And those market researchers spend half their time digesting notes and summarizing what people said. Right? If the AI does that well for them, they could do much more higher value added stuff. When the AI does the shitty parts of your job, the job gets better and you gotta you gotta embrace it.

Jason Chicola [00:29:22]:
Right? And it's it's a lot more fun to stay on the shoulders of giants and use tools to do more work in less time. It's like you have a staff behind you, and you can do it on your own. I think it's pretty cool. Mhmm.

Jordan Wilson [00:29:34]:
I mean, jeez. If that wasn't just, like, the biggest, you know, like, get up and go do something, you know, powerful, something meaningful. You know, stand on the shoulder of giants. Stop doing all this groundwork. Love to hear it. So, just wanna get to, one one question here from our audience, Jason. So, Cecilia, kind of asking, you you know, so saying, you know, agrees with the toxicity of meetings sometimes, but how do you capture the benefits of meetings in building relationships if you skip meetings and reduce participants? It's a great question from Cecilia there that I wasn't even thinking about. You know? We have this example if, you know, a hundred people are generally going to a meeting and it's an hour long, like, do you need that? Right? But if you only send 5 people and 95 note takers, what happens? So how can you find that that delicate balance, you you know, Jason, of of of still, you know, being able to leverage technology, you know, your, you know, your kind of call out there was what if you only need one minute of that 60? So how do you find that balance between, yeah, using AI and and transcription tools, but still getting that, you know, looking you in the face, body language, making a a connection.

Jordan Wilson [00:30:41]:
How do you find that balance?

Jason Chicola [00:30:44]:
Cecilia, great question. Thanks for for riffing on it. I would say a meeting is to me, a meeting is sort of toxic. If I have 20 people in a meeting, 2 cameras on, 8 cameras off, right, that's a that's a unpleasant meeting. I'm talking, and I have no idea who I'm talking to, how they're feeling, or why they're even there, or why their camera's off. That's not ideal. What would I rather do? Let me be human for a moment. I'd rather not be in a zoom meeting to be honest.

Jason Chicola [00:31:11]:
I'd rather be sitting around a table with a handful of people, having a real conversation, joking, laughing, a little small talk, maybe we get some food, maybe a coffee afterwards, a little chit chat, human connection, a little bit of personal interaction, a little bit of how are you feeling, people being revealing and open. So my answer is meetings are quality over quantity. Quality has, you know, what are the things that you value when you sit around the table with your family? Right? It's like a smile, a laugh, nobody caring about you, nobody asking real question. The meetings are much better. Here's the litmus test. If someone's in a meeting, they don't say one word and their camera's off, why are they in that meeting? Mhmm. Right? That means better without them. So I think human connection is deeply important.

Jason Chicola [00:31:56]:
If I work 40 to 60 hours in a week, I don't need to do 27 meetings. Maybe, you know, I might actually, but I probably shouldn't. I probably be better off doing 10 meetings in a week and have them be real human connection. I would focus every meeting on, like, you know, when you interact with your family, it's probably not through Zoom. Right? Probably good things happen for through that interpersonal relationship, but I would try to bring basic relational skills, your means at work. Right? Have fewer of them. And if you do it right, what's gonna happen? Just like, you know, we have an office, and I believe in coming to the office. And I'm in the office right now in Texas.

Jason Chicola [00:32:30]:
And I believe that when employees walk out of a meeting and they walk over to get a cup of coffee after that meeting, and they chat for 2 minutes about what happened in that meeting, that might be more important than the whole meeting itself. Right? It's the little human connections that matter. And so I'd say optimize for human connection, fewer people, engaging, talking, body language, and, camera off, no no talking, get them out of the meeting.

Jordan Wilson [00:32:54]:
Love hey. Love that. And you know what? Probably that person that said zero words didn't wanna be in that meeting anyways. Right? Like like, how like, how we started the show is it's like there's there's too many meetings, Zoom fatigue, and, yeah, I mean, I'd say the majority of people don't wanna be in the meeting anyways. So that's a that's a good call out. Alright. So we've talked about literally so much in today's conversation, Jason. You know? I I I I mean, from LLMs and, you you know, how you and Rev were kind of ahead of this whole trend to even how this may impact, you you know, transcriptions and generative AI, how it might impact the future of work in meetings.

Jordan Wilson [00:33:29]:
But, you know, as as we wrap up, what's what's your one biggest takeaway for people, you you know, that they can really use this, you know, and to be more productive and to, tell better stories. What is that one, piece of advice that you really want people to leave with?

Jason Chicola [00:33:47]:
Look. My macro advice for all followers of your show is to try the AI tools, play with the tools, and see what works for you, and to experiment with them. Like, if you wanna use ChatGPT, work on prompting, learn how to do better prompts. Like, play with the tools and try to make them part of your routine to be more effective. As it relates to the power of voice in conversations, there's a lot of tools you could try. We're launching our new platform, most important release in our history, late q3. Users who want to try it can go to rev.com/waitlist. Rev.com/waitlist and we'll get we'll give you free credits for a free account and we'll probably invite many of you to the beta.

Jason Chicola [00:34:22]:
So if you wanna try platform for getting all your conversation, making you more productive, rev.com/waitlist, something you can try. I would tell people just tomorrow, look at your calendar, look at all these meetings, and and get rid of a third of your meetings. Right, and see what happens. Right? That that'd be that'd be the thing that I would act on today, and I think you'll have a better week next week.

Jordan Wilson [00:34:42]:
I couldn't agree more. Let's I'm looking I'm looking at my calendar next week, and I'm like, oh, which ones can I get rid of? Alright. Well, hey. Jason, thank you so much for coming on the Everyday AI Show and sharing your insights. We really appreciate your time.

Jason Chicola [00:34:59]:
Jordan, thank you. Pleasure.

Jordan Wilson [00:35:00]:
Alright. And, hey, as a reminder, y'all like a lot of great information there. As always, our guests are just bringing you the heat. This was a game plan. Right? And you have to be able to look at the game plan and put it into action, and that is what our newsletter is all about. So if you haven't already, go to your everyday ai.com. Sign up for the free daily newsletter. If you're joining us on the podcast, hey.

Jordan Wilson [00:35:23]:
I know. I got fat thumbs. I don't wanna type that in. We have that in the show notes. Make sure you check that out. If this was helpful, please let us know. Share this. Tag someone who needs to hear this message, and we hope to see you back next week and every day for more everyday AI.

Jordan Wilson [00:35:37]:
Thanks y'all.

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