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00:00:01
Status Check: AI Hype, Practical Use, & Up-skilling for a New Economy
136 Plays1 month ago
George K and George A went completely off-script this week and recorded their first one-on-one episode in years. Fair warning: it gets heated about some industry trends that have been grinding their gears.
George K and George A get into:
- The AI hype cycle vs. actual utility as George K articulates step by step how he used an LLM to prepare for a talk - what it could and couldn't help with
- The danger for companies gutting entry-level positions while claiming "AI efficiency"
- The risks of a generation that can't handle disagreement or boredom
- The return of Gilded Age exploitation disguised as "hustle culture"
Real talk: If your company is advertising 70+ hour work weeks as a feature, you're part of the problem. We didn't survive a pandemic just to forget every lesson about work-life balance for the sake of some exec's third yacht.
If you're feeling the cognitive dissonance of working in tech right now, you're not alone.
What's your take? Are they just two old guys yelling at clouds, or are these legitimate concerns about where our industry is headed?
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Transcript
Introduction and Hosts
00:00:01
Speaker
Your attention, please. This is a bare knuckles and brass tacks status check. Buckle up. Now we just sound like two old guys shouting at clouds. So we need to need to think of some solutions.
00:00:22
Speaker
Yo, this is Bare Knuckles and Brass Tax, the technology podcast that tackles the human side of all the
New Format: Status Check
00:00:29
Speaker
industry. I am George Kay on the vendor side. I'm George, a Chief Information Security Officer.
00:00:34
Speaker
And this week we're trying something new. This week we are recording what we're calling status check. So George and i talk every day and often go back and forth on topics of the day. And we got really heated.
00:00:49
Speaker
on a lot of stuff that is trending right now. And we thought we would take this time to weigh in, um I guess take the temperature of the room of the zeitgeist and see where we are.
00:01:02
Speaker
Right. So take it away, George.
Evolving the Podcast Format
00:01:06
Speaker
Yeah, we have not done a one on one episode since like early, early season one. And that episode was about as janky as our production value was back then. so let's see that we're
AI Hype and Skepticism
00:01:19
Speaker
improving. And we actually have a little bit of format here.
00:01:22
Speaker
um But yeah, I mean, topic du jour, you can't go to any event in the last two years without hearing about AI this, AI that. um I've developed a reputation for not being an AI naysayer, but just like, i don't I don't care for the hype and blah, blah, blah. And people openly make jokes about that when I go on panels.
00:01:41
Speaker
So today we're going to talk about AI the entire time. It's be great. yeah Well, yeah, from the human side of things. From the human side of things. um So it's important. I think we want to address some of the issues like the LLMs that are emerging now.
00:01:55
Speaker
um Obviously, workforce changes is been another wave of layoffs all over the place and is depressing as hell to wake up in the morning and see it. And really, we want to kind of shine some light on the
Understanding AI Technologies
00:02:09
Speaker
future workplace skills that people need to kind of you know attain and maintain employment.
00:02:16
Speaker
For sure. And I think before we proceed, audience, we are going to make very clear distinctions between machine learning, AI, and LLMs. I will try to be very good about that because the model creators and labs would have you believe that it's all one thing and it's often lumped into that. But there is a very clear difference between machine learning that isn't a lot of cybersecurity tooling Machine learning that has been used to develop new medicines, new drug compounds, and then the chatbot interface for large language models that a lot of us are using or experimenting with or being told we'll automate all the things.
Choosing and Using AI Tools
00:02:59
Speaker
I got a lot of thoughts about that. probably need to save that for a different episode, but yeah, I think we'll start with the LLMs. I use Claude mostly because I think Sam Altman's a weirdo um and that open AI has a weird messianic bent to it. I don't know that Anthropic is all that different, but I also found that for my uses, Claude tends to hallucinate less and yeah, I'll talk a little bit about that. So I tend to use Cloud Everyday not to generate text, and I don't really think of LLMs as reliable text generators, but I do find them useful because what is it? It's a probabilistic statistical modeling of text.
00:03:42
Speaker
I find it to be very useful for analyzing text. So sometimes... We're running anonymous surveys in the CISO Society, for example, and you can use it for very quick data analysis and ask questions of the data, and it's pretty easy to gut check it, and all the time that I've been using it has been right.
00:03:59
Speaker
um I prefer Claude because it'll show you all of the code that it's running and React um in a separate pane, so you can see that. So one use case that really comes to mind and that I will probably write about later is i used...
00:04:17
Speaker
Claude and LLM to prepare for a talk I had to give with very little preparation. So let me set the scene.
Challenges with AI in Presentations
00:04:26
Speaker
I was invited by our mutual friend, Maria Estepa, to give a talk on behalf of Mind Over Cyber at Iconic, which was a conference in Toronto.
00:04:36
Speaker
It was confirmed a week ahead of time. i was busy working, didn't really have a lot of time to prepare, but I kind of knew what I wanted to talk about. So when I say I used AI, this is where people are going to get really like wrapped around the axle.
00:04:55
Speaker
So, and I showed George this piece by piece. I do a lot of my thinking on pen and paper, and I literally wrote out, like, these are the stories that I want to tell.
00:05:07
Speaker
Like, these are the anecdotes I want to use. And I wrote it all out by hand. I took a photo of it and uploaded it because I think that LLMs just also have incredible optical character recognition, aka OCR.
00:05:18
Speaker
And they can just render the thoughts that I think better on paper into text that I can then manipulate. So from there, I used Claw to kind of like get all of that in the right order and then used a Google Doc to copy paste that and arrange it.
00:05:33
Speaker
Now, here's the thing that ah LinkedIn influencer would say to you. They would say like, check out my top 10 ways I used AI to deliver a talk in 48 hours. But what they don't tell you is it still had to like string the stuff together, put it in a compelling order,
00:05:52
Speaker
It took many drafts going back and forth before I got the thing into a Google Doc. And then that's just me thinking it through, closing my eyes, kind of running through it in my head, being able to link the ideas in a logical fashion so that I wasn't going to be caught on stage going, um, uh, as I was working through transitions, because if anyone has given a talk, transitions are like the key.
00:06:17
Speaker
And so I guess, George, what I want to point out is when you see the hype around these tools, yes, the tool got me from pen to paper to outline much faster.
00:06:30
Speaker
you know Typically, this takes several weeks of sort of cogitating about what you want to say and working with it. But it still had to do the work of memorizing the talk. And I think that those skills are only possible because you and i record every week.
00:06:47
Speaker
We have done public speaking. We've put in hundreds of hours, if not thousands of hours of essentially practice just doing that. So if somebody were to just tell you like, here's how to use an LLM to build a talk, there's no guarantee that the talk is going to be successful, right? It's still, you have to deliver it.
00:07:09
Speaker
You have to have built up the skills and the public speaking to do that. And I guess that's my point is I just want people to understand ah A hammer and a nail and and evolving to a circular saw and a pneumatic nail gun. Great.
00:07:25
Speaker
You still got to be able to put the joints together straight
AI in Executive and Consulting Roles
00:07:30
Speaker
to build the house. Right. Yeah. I mean, like, look, similar to you, like I as an executive, you know, I also am on Claude as well.
00:07:40
Speaker
because Sam Alton scares the bejesus out of me and ah talked about that. Even though this week there was a ah critical vulnerability that came out in the MCP, the model context protocol.
00:07:52
Speaker
um And, you know like kind of have to deal with that a little bit elsewhere, but that's client life. um I still find the greatest utilization for someone like in in my position is the templating, right? So yeah especially like whether it's, you know, I'm dealing with an audit or whether I'm doing some kind of client-based project, I do work on the side for clients, um you know, just as an example, like a PIA, right? So when went and dipped my toes back in the consulting world last year, hadn't looked at a PIA in like years. And so I was like, oh shit, I got to do this now?
00:08:32
Speaker
you know like I had to basically like ask a prompt, like, hey, give me a template for a PIA for this type of organization that you know has this many endpoints and that deals with this type of technology, and it'll give you that template.
00:08:47
Speaker
It's still me and my expertise that has to modify and build upon that template. But i always found that when I get project work or heavy reports that i'd have to do, the bulk of my time was on figuring out the formatting.
00:09:02
Speaker
like I remember when I was in big consulting, the biggest thing, and this is like the start of my cyber career, um there were certain guys that had been consulting, and particularly in that organization. It was a global shop um for decades.
00:09:15
Speaker
And so they had built up these massive repos of report templates. And they were considered like the most valuable thing because if they had to deal with a report, they had deal with a project, they could just pull out a previous report, template it out, and then just recycle it.
00:09:29
Speaker
Right? so It took a lot more time, which led to a lot more billable hours, but then your rates lower, right? Because that's typically how the math goes.
AI's Impact on Job Skills and Markets
00:09:36
Speaker
Now with AI, if you're using it intelligently, it doesn't you're not supposed to use to do the homework for you, but I can cut down on like 60 to 80% of the time it takes me to actually deliver and produce a report because all the formatting, all the templating, all of the guidance on like, you should talk about this here and then this here and then this here, and here are some additional thoughts on this.
00:10:00
Speaker
It's really just like having a coach that can give you that professional guidance of like, here's where to build and here's where to go. You still have to be the one that does it. Like my expertise and my subjective opinion is still like ultimately the unique value add.
00:10:15
Speaker
But in a world where we are so cosmetically obsessed and where we have so many non-technical business leaders who have direct impacts on technology leadership, you have to meet them at their level. And the AI helps you to do that.
00:10:30
Speaker
um Do I see it as this thing that's going to change the entire way of work? like I always make the um example that It's like when when telephones no longer needed switchboard operators. Like there used be thousands and thousands switchboard operators employed.
00:10:47
Speaker
Now suddenly phones, you know, they could now automate and and actually allow that process purely through the infrastructure to me picking up a phone, you know, say in Maine or Halifax and dialing in l LA and then it just automatically connects. Right.
00:11:04
Speaker
Right. So people didn't stop using phones and people didn't stop working for phone companies. And, you know, they didn't start having careers. They just they couldn't do that thing anymore. And I I see the ai transition to be more of that where, you know, maybe I'd want to say what's the word ah looking for. End of life skills are now going to be phased out.
00:11:26
Speaker
But what we're seeing and I think this is where kind of we want to hit the the nail on the head. And I don know i want to call this out. A lot of these profit-driven organizations are throwing away good people, talented people, yes simply for the reason of taking in better EBITDA, claiming better productivity.
00:11:48
Speaker
and And it's- it's Yeah, or or the most cynical view, I think, was they have to cut those salaries to plow that money into like data center infrastructure, essentially. Yeah.
00:11:59
Speaker
And really, like, you know, if if you are running some of these large, like, let's say, fan corporations, and and they basically have the populations of a small country, you know, and you're cutting like thousands of people, like, you are negatively impacting not only the individual employee lives, but, you know,
00:12:20
Speaker
pretty much entire communities are now losing their their health insurance, their revenue streams, right? And it's just the the sheer carelessness and the lack of regard for human sensibility. It's, you know, the tech industry is is turning into a thing that every day more and more um ethically and and socially, i have a difficult time, you know, grasping staying in this thing in the long haul because it's a lot of cognitive dissonance for sure. Yeah.
00:12:50
Speaker
But what do you suggest we do? yeah I don't. Well, here's the other thing. It does feel like a bit of a foot gun, as they say in software engineering. Like we might be shooting ourselves in the foot.
00:13:01
Speaker
You think that you can automate all of the entry level stuff. OK. And you don't need to hire those people. Like it's not like your middle managers today are going to be there forever.
00:13:13
Speaker
Like if you if you tear out the bottom rung, Like at some point as the company evolves at a longer stage time horizon, like how will you have expertise in house? So as you said, in consulting, the people who were experienced had a leg up because they had the templates and stuff. That was essentially mindshare. They had that expertise. So even if you fast track that with an LLM or something, they also had expertise.
00:13:42
Speaker
client intelligence they had like oh when you present to the energy sector they prefer this kind of information know like and at some point a human does have to be part of the service delivery model and if if you've gutted all your expertise i just think that that becomes hard for you as a company to provide a lot of value and so i don't know it just feels like a very short-term solution But going back to, i think the original impetus for this conversation in our chat was I'd been listening to this
00:14:19
Speaker
um, podcasts, which I'll link in the show notes about a journalist who did a very deep dive into how college kids were using, LLMs to basically do all of their work.
AI in Education and Youth Development
00:14:31
Speaker
And, you know, this, the reason I brought up that story about the talk that I did and the hours of experience that we have doing public speaking is I had said to you, like, cool, you might be able to use chat GPT or whatever,
00:14:50
Speaker
to get through an essay test or what, just get through college. But like the real world is going to punch you in the face if, and when you get that job and you are expected to either articulate an original idea or distill a very complex thing for somebody who isn't an expert in it.
00:15:12
Speaker
And if if you have just leaned on these crutches, if you have not done the hard stuff, you will not have those skills. And then like, you basically just automated your own obsolescence. Like who needs you if you don't if you can't generate original ideas, right?
00:15:30
Speaker
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Speaker
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00:16:08
Speaker
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00:16:20
Speaker
This kind of response is like multipointing. So on the first thing, By not giving people opportunities to do entry level work, we no longer have a path to entry into the industry.
00:16:32
Speaker
Right. And we barely had one that we agreed upon before, like before he had. thing Correct. So what people should train for now if they want to get into this or any type of tech field.
00:16:44
Speaker
Far beyond me. i honest to God, couldn't tell you at this point. I guess prompt engineering everywhere. But okay kind of the bigger problem, and I see this in the education system, and and my sister's a high school principal, you know, and she probably speaks this better than me, but...
00:17:01
Speaker
Kids now are becoming so GPT-reliant that beyond just you know cheating on tests or cheating on assignments, which happens way more than is publicized about. Yeah, of course. um Kids are losing the ability, and they've had attention span issues already from TikTok generation, to sit down and read an entire book cover to cover and to actually chew on the concepts and and and visualize.
00:17:29
Speaker
I think the problem is we are so hellbent on efficiency and time expediency that we no longer want to allow ourselves to be bored and to think and to really take in.
00:17:44
Speaker
Like when i when i read when I read Homer. Right. The Greek philosophy. Love it. Right. And I read the Odyssey and I read the Iliad and read those stories over and over and over again because there's contextual lessons to be pulled from them.
00:17:59
Speaker
Or even, you know, the Bible. Like i my parents yeah gave me an approach. They said, hey, like. We want you to understand religion as a concept. So I had to read the Koran, the Bible, and the Torah cover to cover as if they were narrative stories.
00:18:13
Speaker
And I would talk about talk about what I read with my parents, and they'd try to give me a modern context as to what these lessons, quote-unquote, were that I was reading about. This type of like Socratic or Aristotelian-type education, if if we lose that as a generation,
00:18:33
Speaker
I really, really feel for the kids that are going into the workforce now or or will be in the next 10, 15 years. Because George, like, there is no critical thinking anymore.
00:18:43
Speaker
Yeah, that's a real problem. Just as we were talking about in the conversation, these kids also are losing their ability to understand how to deal with conflict and disagreement.
00:18:55
Speaker
And I think that's the most dangerous thing. Yeah, you brought that up. You said that They can't handle anything that's not a compliant answer, which I really took to heart because it hadn't occurred to me like how, yes, because again, i don't really prompt Claude for that sort of stuff. But sometimes the answers do come back rather sycophantic and cloying.
00:19:18
Speaker
But yes, to your point, you know, I remember my college roommate and I got into some tiff that I can't even remember the original argument. Yeah. But I stormed out of the apartment.
00:19:30
Speaker
I went and stayed with another friend. i didn't talk to him for a week. I just like ghosted. Right. And, um, and then at some point he texted me and said, like, are you ever, are you going to let me know whether you're alive or not?
00:19:43
Speaker
And then I realized like, this was not an end of relationship fight. Like we had had a blow up and he still cared and we're still now great friends to this day. I mean, we he eventually, i went back to the house and he came in and he's like, can we stop being assholes to each other? And we, but if you do not have the ability to, to get through those things, you,
00:20:07
Speaker
One, you're just like super fragile. Like I really feel sorry for you. And two, yes, to your point, like you may decide that human companionship is just too hard for you. And then you just kind of like plug into the matrix and give up. I mean, hell, what was it?
00:20:23
Speaker
ah Battle of Toronto where I stepped on your lines because I got so excited and you're like, you took my line. And I was like, this was happening in real time backstage. um But we sort of got over it. I apologize. And You know, we are still recording today. so yeah, i i I really take your point about emotional intelligence being weakened by things that just are programmed to be very obsequious and self-serving, you know.
00:20:52
Speaker
Yeah. Well, look, like we always make the joke with each other, outside and touch grass. But like literally, like every good friend I've had where I've shared some kind of activity that we really care about, whether it's a sports team or whether it's something academic or even something like this show, you know, if you give a shit, yeah, sometimes you're going mad. You're going to disagree with each other. You're going be like, ah, fucking guy, whatever. And then you're going to go to bed and you're goingnna get up and you're like hey, man, i wonder know what he's up to this morning. Like, Because you're human. The normal way of being, right? And so you can't just be like, oh well, we had a disagreement. i don't want to talk to him anymore. And you're like, relationship over. Yeah, that that makes no sense. And to make matters worse.
00:21:33
Speaker
And there is this trend. And and you know when when I saw that movie, Her, with Joaquin Phoenix, I i knew it was like, this is this is just predicting the future. And then now that future is here, where you have folks who are now having these actual romantic relationships with AI chatbots.
AI's Influence on Human Connections
00:21:49
Speaker
And and you know I'm in the sex tech world, and I deal with a lot of great, brilliant folks that you know are doing research at the Kinsey Institute and other sexual wellness institutes.
00:21:59
Speaker
And they take like a sociological and academic approach. So they're like, oh, this is awesome. This is the next wave of human connection. And I'm like, no no fucking nightmare. We need to go out there and get laid and procreate and start families and have real friendships.
00:22:14
Speaker
What are we talking about? And the worst thing is, is like, yes, when you're dealing with a chatbot, it is only going to generally give you answers that you like. That is not a real thing. Any any any person I've been intimately with that I actually gave a shit about usually annoys the sweet Jesus out me.
00:22:33
Speaker
And that's how you know you fucking love them. Yes. yeah What is happening, George? Yeah. Well, I mean, now we just sound like two old guys shouting at crowds. Yeah. So we to think of some solutions. I mean, i would go back and say like, it I think this originally started because I was telling you I just increasingly believe that we just have to do hard things. And you had added...
00:23:01
Speaker
do hard things with purpose. Right. And so if you want to, and we've said it on the show a thousand times, if you want to get good at public speaking, you know, go to Toastmasters, even if it's like how to deliver you know, uh, incident report.
00:23:17
Speaker
Um, we talked with Stacy Loki day about when she was too shy to speak up and then she spent the rest of the year kicking herself. But when she started to speak up, how that accelerated her career, we talked about, uh, with the fish club folks about how they get,
00:23:31
Speaker
natural introverts to kind of connect on things that may not be cyber related, and maybe arts and crafts, but something to get them out of their shell. But really the power, what we have talked about on this show, networking really requires you to just get out, meet people and develop ways to communicate that are on their level. Sometimes you're going to meet people,
00:23:53
Speaker
People who just want to talk about work. And sometimes you're be people who don't want it. And you have to be able to modulate and you to be able to calibrate. But you have to do it. You're going to do the work in order to develop the skills. And um we've said it also on the show.
00:24:08
Speaker
It's Seneca. It's 2,000-year-old wisdom. Luck is what happens when preparation meets opportunity. I think if you look at LinkedIn, they want you to think that preparation is some sort of linear thing that you do. I do A and then B and then C, but no, like you just kind of got to get involved in the riot of life because you don't know the skills that will eventually sort of shine later.
00:24:30
Speaker
Right? Like, it's not like you and I were like, when we were like 18, we're like, we're going to grow up to be podcasters. Like, yeah. There was just a thing, but we had some skills. ah You know, I'd been in bands. I was familiar with recording equipment.
00:24:44
Speaker
You had done public speaking like those were skills that were in preparation for this. We just didn't know that that preparation was happening. Yeah. I mean, look, like I think. I have to be thankful to my parents because my parents understood very early on, you know, based on my dad's prior career um in the old country, you know, the more you can socialize a kid and the more that you can get them in new environments and able to adapt socially, the more successful they would be.
00:25:11
Speaker
So I remember there was a, i I'm a Catholic, so I'm in the Knights of Columbus. Catholics know what that is. a the weird dudes of the funky hats. They got the fish fries on Friday. It's great.
00:25:22
Speaker
um So they had a youth group. And i actually was was in the provincial executive of that group. And to to get that seat, one, you have to win an election. So like as a 14-year-old, I was like, I'm going to try to run for this position. And I'm going to talk to a room full of delegates from all over Ontario and somehow get elected.
00:25:40
Speaker
And once a month, on weekend, we'd go and have these provincial board meetings. And we'd go to a new city every single month where there would be like ah a parish that had like ah a ah group.
00:25:51
Speaker
And we would have the meeting there and then we'd go and hang out in the parish and we'd go do a charitable thing and we'd go have a nice dinner, like all that stuff, right? All that is every month you're being exposed to brand new people in a brand new environment.
00:26:06
Speaker
And to me, it was like, oh, this community service. In Ontario, we have mandated community service hours. We have to do this. But... what I realized my parents did this, not because they particularly cared about me doing stuff with church. What they cared about was me going out and meeting with people in all different walks of life at all different authority levels and just learning how to be chill and enjoy the experience. And I think that's been one of the,
00:26:31
Speaker
Greatest things my parents ever did for me is, you know, we talked to so many folks who we have to have these episodes. talking about how to network. Networking is not it's not hard. It's literally just like going back to the schoolyard and like, hey, how did you make friends in the sandbox? How did you make friends in the lunchroom? It's the exact same shit.
00:26:50
Speaker
Unless you don't know how to make friends. So it's a problem. that's That's where Toastmasters comes in. But I think now with this AI boon, like people are losing not only just the courage, but the the actual desire to connect with people. Yes, that's the bonus for sure. And they don't understand how damaging that's going to be, not only on their career, but their lives.
00:27:15
Speaker
yeah See, I didn't even know that about his past, so we're learning something this episode. But yeah, that sounds like... That's like graduate school for networking, like to put you through that process and that ringer, like everything from politicking to persuasion just being comfortable around people, public speaking. That's there's a lot there to solidify any career.
00:27:36
Speaker
um Let's close out here, George, with this article that you shared with me from the Wall Street Journal about ah companies now openly advertising companies.
Work Expectations and Labor Rights
00:27:47
Speaker
that there is no work-life balance and they just straight up won't hire people who aren't willing to work 70, 80 hour weeks and sort of like blatantly advertising, I guess, working in extremes is like the new norm.
00:28:00
Speaker
Yeah. want to get your take there. Yeah. I mean, look, I i understand fully, the pressures that we have to deliver on KPIs, especially to to boards, be it public or private equity.
00:28:17
Speaker
I think humanity learned a bunch of lessons during COVID, particularly about remote work, particularly about productivity and the freedom of the human existence. And we absolutely immediately forgot about those lessons for the sake of profit.
00:28:33
Speaker
um I read that article and I was like, like visibly upset and offended. Like I would never in a million years, I would never accept the job where someone says you have to work 70 hours a week minimum. And that's like, there's some sort of prestige attached to that. Yeah, like there was an actual quote in the article that was like a real job poster thing. And then, you know, they called up Shopify, which is founded in my town here, Ottawa, where they're headquartered. And, you know, it it's not just an American thing. Shopify is still a Canadian company. yeah And um this
00:29:08
Speaker
This is not how I would want to do business. i don't I don't want to hire or work with people who find any kind of appeal in this. This is the most toxic end of Hustleboro culture that one could imagine, all for the sake of some assholes that want to buy another yacht.
00:29:26
Speaker
Like, honestly, fuck those guys. yeah i it's it's not a rich human existence you are not your job like we're all people who have other interests other things to do with our time and our lives and it's just gross it's just i mean i and they're taking advantage it's like pretty much exploitation of a job market squeeze right they're like kind of exploiting labor market and being like, I guess it's hard. So we're just going to like turn the screws and we'll see who really comes out the other side. Tell you what this is, man. And I'll tell you, I never thought it could be a thing, even though I've like quietly joked about it in the past.
00:30:07
Speaker
This is the kind of attitude that leads to unions, that leads to organized labor. I don't know how that manifests in the tech industry, but I tell you right now, I read that. And as someone that like grew up in a socialized house, this is labor.
00:30:22
Speaker
This is gilded age nonsense, which is like, i you know, if you don't want to work in the mines for 15 cents a day, I'll find other poor people who will. You know, that's 100% we need to start thinking about how to resist that urge. Because yes, the prophets do not trickle down.
00:30:43
Speaker
They concentrate upward. No. And I think that attitude of, you know, and like equally as insufferable. I found all those people that did those day in the life videos of like back when during the golden age of tech employment, I found those people equally as insufferable. It was like, oh right fuck nothing you're non-technical, you suck your job. I hope you get fired.
00:31:02
Speaker
That's like a legit thing. But if you are actually someone who is trying to contribute and trying to give value, but trying to have a family, trying to have a life, you No, like I'm about protecting those people. And I think eventually if they keep abusing the workforce like this, there's going to be some sort of organized, ah I don't want to say rebellion against it, but a rejection of it.
00:31:27
Speaker
And I hope, I hope if this is going to be the continued path, we start seeing unions and we start seeing folks doing walkouts of work and we start seeing folks not give a shit about these ridiculous profit and growth numbers. I'm not sitting here with red flag yet, but like...
00:31:47
Speaker
Boys, come on. point boy yeah dig Just the dignity dignity of labor for sure um is being forgotten. And people want to want to contribute and they want to think that they're you know a meaningful part of something.
Conclusion and Audience Appreciation
00:32:01
Speaker
But yeah, oh um well we'll wrap it there. um And yeah, audience, let us know what you think. We'll call this the status check. We won't do it all the time, but obviously we have a lot of things on our mind, lot of things to say, and we got microphones to do it. God damn it.
00:32:17
Speaker
um But yeah, let us know in the comments and we will check you next week. Take care, y'all.
00:32:27
Speaker
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00:32:40
Speaker
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