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AI is everywhere. Is it all it’s cracked up to be or is it one big scam? Well, as it is for most things, the truth is somewhere in the middle. In this episode we see how, despite some of AI’s useful contributions, the hype has also impacted the tech industry negatively.

Sources: https://docs.google.com/document/d/1V5REwY4WKO7lRXnsAYnSUfp9mnb6cCDwY3VqYIoiSkY/edit?usp=sharing

Excerpt on AI in laptops provided by Just Josh: https://youtube.com/justjoshtech

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Producer: Dagogo Altraide, Tawsif Akkas
Writers: Dagogo Altraide, Tawsif Akkas
Editors: Tanzim Uddin, Brayden Laffrey

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47 thoughts on “AI Deception: How Tech Companies Are Fooling Us

  1. It's kind of funny that we get upset about AI costing jobs, yet we would never say we want a company to reduce its use of technology in order to hire more people. Why are we using those big machines to pave roads when we could employ and extra dozen people to so it?

  2. 00:00 🤖 The history of AI deception dates back to 1770 with "The Mechanical Turk," revealing how tech companies today, like Amazon, have misled consumers about the extent of AI's capabilities.

    02:36 🛡 The term "AI washing" refers to the overuse of AI as a marketing buzzword, leading to misleading claims by companies, with 36% of S&P 500 companies mentioning AI in their Q4 earnings reports.

    05:56 💼 The AI hype has led to pressure on companies to integrate AI into their business models, resulting in rushed, half-baked AI products without tangible results.

    08:46 ⚠ Concerns about an AI bubble emerge, drawing parallels to past tech bubbles like the dot-com crash, as companies overpromise AI's potential, leading to investor disillusionment.

    10:23 💥 The Gartner Hype Cycle suggests that AI may be entering the "trough of disillusionment," with expectations surpassing actual capabilities, leading to potential disappointment in AI's real-world applications.

    12:28 🔄 While some companies overpromise AI's potential, others underpromise, leading to concerns about AI's impact on job security, with layoffs attributed to AI integration.

    16:08 🌐 Reports suggest that AI integration may lead to significant job displacement, particularly affecting lower-wage workers, while senior AI researchers could potentially replace entire teams of junior engineers.

  3. My Hope is that this will free up a lot of people to focus on environmental needs, such as habitat restoration and protection. This is what our planet desperately needs right now.

  4. My job is rolling out AI, but the outpost has to be manually reviewed and the AI will have to be constantly updated anytime time there’s a change (we have changes all the time). The older leadership teams just get so excited about AI not understanding all the manual work required.
    Maybe it will get better, but it’s not ready at the moment.

  5. You should fact check your stories. Amazon was using AI. The only time the people in India got involved was when the AI could not figure out if something was taken or not for a transaction. The Indian workers were training the AI.

  6. Let's say hypothetically AI does the work of the business. But you need clients that can afford to pay you. Then money is only going on one direction. My guess is labels made by human will appear and then clients can choose who to trade with, obviously a premium paid. Same as local manufacturing vs offshore/outsourcing.

  7. AI is an accelerant for the extraction machine. The problem for the pigs is that no work means no money for mindless consumption, which fuels the entire system.

  8. I adore how CEOs are trying to justify laying people off with AI.

    Like, dude, you're a CEO. You're the single most AI-replaceable role in the company at the moment. Your job is optimization, which is literally what AI is being trained to do. Plus, removing the CEO from payrole and the bonus list would singlehandedly do wonders for profit margins. Follow your workers out the door or go to hell lol

  9. Watched Science Channel, History Channel, and G4 Tech TV in the early 2000s, then went to my local library in the middle 2000s reading Popular Mechanics and Popular Science; artificial intelligence and advanced robotics was mentioned frequently. During interviews all of the technology developers of the time said, paraphrasing, "Majority of jobs will be automated. How society reacts, we don't know. Don't dismiss the lack of capability of this emerging technology, computers were mocked. Now, look where we are; many are vying for degrees in computing and many jobs require some skill with a computer." 

    The problem with computing, quantum computing, artificial intelligence, and robotics; there will be very little replacement jobs, because those jobs to care for those maturing and emerging technology will be nearly automated. At this moment, there are fully or nearly completely automated manufacturing plants where few engineers maintain the whole facility. Add automation to design, transportation, and retailing, you've eliminated more than three quarters of all current jobs as they exist right now!

    If you're unskilled and lack ambition to adapt to the coming reality, you will suffer. Your only hope will be government assistance, but considering many won't have a job, therefore can't pay taxes, government assistance likely won't exist. This is happening, been so since the seventies, beginning with automation of the automotive assembly line and the shrinking of automobile worker's unions, and collapse of manufacturing cities, like Detroit.

  10. They are underplaying AI because they know when AI gets good enough, every job will be at risk. Then we'll need Universal Basic Income to survive, but the companies don't want to pay taxes to feed that. They'd rather everyone starve.

  11. If you are doing repetitive tasks, working parallel to automated functions, validating processes, creating content or using historic data/action to extrapolate a future, then your job is at risk. As always the adoption of new tech is a risk equation.

  12. It'd would be really funny to find out all of the global "AI" is just a bunch of underpaid people, in some South East Asian country, working inside a container with no AC.

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