Tech Whistleblower: You Only Have 3 Years Left Before This Hits! - Mo Gawdat
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Why did Mo Gawdat start talking about AI before anyone else?
Most people don't realize how much their personal information is being bought and sold every day. Data brokers are making billions, pulling details about you from public records and the internet, and then packaging and selling it, usually without your consent. That's how your information lands in the hands of scammers, spammers, even stalkers. It's why you get endless robocalls and why ads seem to follow you everywhere. That's where Aura comes in.
What are the implications of AI on job disruption?
Aura actively removes your data from broker sites and keeps it off. They also instantly alert you if your information shows up in a breach or on the dark web. But Aura goes beyond data protection. With one app, you get a VPN, antivirus, password manager, spam call protection, dark web monitoring, and even up to $5 million in identity theft insurance, all backed by 24-7 US-based fraud support. Other companies might sell just credit monitoring or just a VPN. We have video evidence of people abusing children and not a single person got arrested.
How can you call that a democracy? So humanity is at a crossroads. where for the first time ever we need to wake up and realize that we're ruled by maniacs and what we believe is democracy is not democracy and what we know is not the truth like companies and governments will blame the geopolitical and economic challenges we have on ai but the truth is ai is not the enemy.
How could AI impact the future of capitalism?
Like I'm not worried about AI turning against us. I'm worried about humans telling AI to turn against us. Like when I worked at Google, we were building amazing things, believing that we were making the world a better place. And we were. But then suddenly there is a moment where you recognize that maybe the world will not use what you're making the way you want it to be used. And sadly, this is upon us.
So I have lots of questions. Okay, that's good. So what's your take on this job disruption point? What is the risk of these very intelligent models that the creators of these models don't actually understand themselves?
What are the potential risks of AI that we might overlook?
Do you think Sam Altman's pro-humanity? How do we get to a point of ethical AI when the incentive structures are so highly competitive? And then I wonder if there's a path that ends in AI being net positive for humanity.
Of course. Somehow we've been pre-programmed to believe that this is upon us and we cannot change it. And I refuse that. So we will talk about the solutions.
But are you optimistic?
I'm very optimistic about the future. I'm not optimistic about the next year.
Why the next year?
Come on, Stephen. You don't want me to say it? So...
Guys, I've got a favour to ask before this episode begins. The algorithm, if you follow a show, will deliver you the best episodes from that show very prominently in your feed. So when we have our best episodes on this show, the most shared episodes, the most rated episodes, I would love you to know. And the simple way for you to know that is to hit that follow button. But also, it's the simple, easy, free thing that you can do to help us make this show better. And I would be hugely grateful if you could take a minute on the app you're listening to this on right now and hit that follow button. Thank you so, so, so much. Mo Gowda, I spoke to you, I think about four years ago when you wrote a book about happiness.
And I remember you came in and you'd written this book about AI, but I particularly wanted to speak about the subject of happiness because I was fascinated by it. What I find astonishing is the fact that you were talking about AI before anybody was really talking about AI. No guest that had ever come on my podcast had ever mentioned the subject of AI. It just wasn't interesting to the world. And then this thing called ChatGPT came out and suddenly everybody got to feel it for themselves and became fascinated by it. My first question, and this might be a question for people that don't know you, is why at that time did you start talking about AI before anybody else?
I knew them in the lab. I joined Google in 2007, very late 2006. And at the time, most people don't know that at the time we had reasonably established AIs doing our backend work.
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Chapters
8 chapters
1
Why did Mo Gawdat start talking about AI before anyone else?
0:00–0:23
2
What are the implications of AI on job disruption?
0:23–1:28
3
How could AI impact the future of capitalism?
1:28–2:01
4
What are the potential risks of AI that we might overlook?
2:01–1:04:10
5
What are the implications of AI on job displacement?
1:04:10–1:05:11
6
How might ethical considerations shape AI's development?
1:05:11–1:06:00
7
What role do governments play in the AI landscape?
1:06:00–1:07:07
8
How can individuals prepare for a future with AI?
1:07:07–2:03:27
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