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AI is a technology that divides people’s opinions when we talk about its impacts. On the one had, AI has been disruptive to certain roles of employment. On the other hand, companies who have rushed to implement AI have found themselves regretting it. In this episode we get to the bottom of how AI is being used in the business world.

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Created by: Dagogo Altraide
Producers: Tawsif Akkas, Dagogo Altraide

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38 thoughts on “Replacing Humans with AI is Going Horribly Wrong

  1. As a coder, I find the answers AI can give are wildly inaccurate and so have to cross reference several AI engines to find a solution, much like using books back in the day.

  2. AI can barely do basic math half the time. What I know is that it's going so badly that some places that fired everyone for AI had to go begging for those people they fired to come back and supervise the AI because of how much it screwed up.

  3. There's nothing worse than a Robot on the other end.
    There was a time here in Brazil which almost every company only had that programmed robot not answering the question.
    Nowadays you have to pass through a boring menu but when you get to the person on the other end, your problem is solved.
    That's the point, they think bots or AI will be able to solve problems the same way humans do. Maybe some they can, but some others require someone paying attention and trying to undestand in order to ask someone to look up.

  4. I’m reminded of my school days, when the ubiquitous question regarding maths (why do we need to learn this when we have calculators?) was asked. The same response applies to maths and to ai applications: if you don’t know the functions well enough to see an error, then the tool is of no use to you!

  5. Google has TPUs; they just rent out the NVIDIA GPUs, but all their AI development is done on their own chips, and they have way more than 26k for that.

  6. There's a certain irony that Space Odyssey's classic 'I'm sorry, Dave, I can't do that,' is still currently beyond that capability of the 'AI' we have. It says a lot about the people who came up with the underlying assumptions, that it was assumed 'I don't know' or 'I don't have enough/the right information' was an outcome so unacceptable that outright misinformation is preferred (and in turn, says a lot about the societies/cultures those people are from).

  7. I've asked people who work at these ai cashier fast foods if it's working on three separate instances and my answer was always something along the lines of "it has a bunch of problems but whatever" which is not good. I have had a cashier take over for AI because it screwed up or got in a loop about 5 out of 6 times, even when speaking clearly and basically.

  8. amazing how I can go watch an AI generated video about AI being terrible, thanks for actually SHOWING you're a human behind this, even if I cant really 100% trust any youtuber anymore to actually make their own content.

  9. The sad thing is… Wall street and financial news will NEVER publish about this.

    They want the AI hype to keep going so the markets will keep going strong. Remember when Deepseek was released and it shocked the markets? Shortly after, all the financial analyst and fund managers came in telling people to not overreact because the AI demand is still going strong. Then they started downplaying China's AI development. Even Nvidia Jensen Huang is a sellout who wants to sell chips to China just for more revenue, he doesn't care about national security but revenue. He even persuaded Trump to remove the previous administration's chip export restrictions and whatnot. When that happened, the AI hype continues again.

    Everything is so overpromised and overhyped. Many are just buying random tech stocks hoping to make easy money and it is very worrying. Remember what they used to say – if your family and neighbours all started talking about stocks and the next hot stock pick, it is time to be wary.

  10. The H100 comparison ist more than flawed. Google has their whole own hardware division spitting out their TPUs. This is like comparing logistic companies by how many Mercedes-Benz Actros L trucks they have.

  11. My business has successfully integrated AI in our workflows; for instance it has reduced the time commitment for our staff in a regular, time consuming and disliked task (essentially a manual pattern matching task) by about half, saving each person in the business an average of 4 hours per week. The tasks we use AI for are tasks that were typically poorly done, requiring frequent re-work, and that people hated doing. The AI generated work is still checked manually, and the result is a better quality outcome for around half the time invested. We could reduce that time to a much smaller fraction without any quality control but it would be an unacceptable business risk to do so.

    We didn't get rid of any staff in this process, we just gave them a new tool to allow them to do their job better with less frustration. It was used to achieve a service quality increase, not to cut costs. In fact, AI even gave us a new revenue stream – teaching other businesses make use of AI in a similar way to how we do. The problem isn't the technology itself, it's short sighted "business leadership" trying to "Do the same with less resources" rather than "Do more, and better, with the same resources"

  12. I wonder how AI is going to survive an energy and water crisis. We are already pretty bad with Bitcoin taking a good chunk but AI is just making it far worse. Unless humans are not in their future projections.

  13. I had a seasoned entrepreneur who's now in his '80s sitting next to me in a cafe the other day and we were talking about things and he saw me using chat GPT for a task on my computer and we talked a bit and what he said I think was really good is the issue is that large companies are trying to replace humans with a system they don't know can do it rather than small companies doing more with the humans they have as he says that is where the real innovation will come from, not from the large guys.

  14. This reminds me of the "offshoring boom" from 20 years ago where all big companies thought they could send their customer support calls, coding projects, and animation overseas for cheaper labor. It was like all the CEOs met and thought this was the New Money. But we all know how that went. AI seems to be heading in the same direction where these big companies are starting to realize that the promise of cheap labor is an illusion and will have to start hiring again. AI is great, but people need to understand what it actually is right now and where it can incrementally increase productivity.

  15. I think AI makes a great assistant for individuals that care about the quality of their project. It fails miserably when a team of people want to avoid decision making and responsibility.

  16. Ai is like a new joinee whom you know is qualified to do the tasks but won't be able to handle them coz of inexperienced, the backbone of ai is machine learning, these softwares when handled by professionals of the field will learn how to work just like humans and than it would be able to do tasks more independently

  17. just because its not ready now doesnt mean that it wont be a reality soon. i honestly cant wait until ai replaces these video essay ‘content creator’ slop channel clones

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