AI = Actually Indians ... (And Fraud)

00:14:26
https://www.youtube.com/watch?v=VeBQeH9lofE

Résumé

TLDRThe current state of AI technology reveals a troubling trend where many startups misclassify themselves as AI companies to attract investment. A survey indicated that 40% of AI startups in Europe had no real AI capabilities. Notable examples include Builder.ai, which relied on human workers instead of AI, and Amazon's Just Walk Out technology, which also depended heavily on human oversight. Other companies like Presto and Nate.te have exaggerated their AI capabilities, leading to concerns about fraud in the industry. The overall sentiment suggests that the AI sector is bloated and unsustainable, with many companies destined for failure due to misclassification and fraud.

A retenir

  • 📉 40% of AI startups are misclassified.
  • 🤖 Builder.ai relied on human workers, not AI.
  • 🛒 Amazon's Just Walk Out technology uses human oversight.
  • 🍔 Presto exaggerated its AI capabilities.
  • 🛍️ Nate.te falsely claimed to automate e-commerce checkouts.
  • 💰 The AI industry is seen as a bubble.
  • ⚠️ Many companies are likely to fail due to fraud.
  • 📊 The current state of AI is unsustainable.
  • 🔍 The industry is compared to past financial bubbles.
  • 🚨 There are serious implications for job markets.

Chronologie

  • 00:00:00 - 00:05:00

    The current state of AI technology is characterized by a significant number of startups misclassifying themselves as AI companies to attract investment. A survey revealed that 40% of European AI startups had no real AI capabilities, raising concerns about the integrity of the industry. This issue is not limited to Europe, as similar trends are likely present in the U.S. as well. The narrative highlights the case of Builder.ai, which falsely presented itself as a tech-driven company but relied on human workers pretending to be AI, leading to its eventual bankruptcy.

  • 00:05:00 - 00:14:26

    The discussion extends to other companies like Amazon and Presto, which also misrepresented their AI capabilities. Amazon's Just Walk Out technology, for instance, was found to depend heavily on human workers rather than advanced AI. Similarly, Presto claimed high levels of automation in their order processing but later revealed that a significant percentage still required human intervention. The overarching theme suggests that the AI industry is rife with exaggeration and fraud, with many companies failing to deliver on their promises, leading to a bubble that could burst.

Carte mentale

Vidéo Q&R

  • What percentage of AI startups are misclassified?

    About 40% of AI startups are misclassified as AI companies.

  • What is Builder.ai?

    Builder.ai was a startup that claimed to use AI for app development but relied on human workers instead.

  • How does Amazon's Just Walk Out technology work?

    It was marketed as an AI solution but was found to depend on human workers for order verification.

  • What did Presto claim about their AI technology?

    Presto claimed that 95% of orders were processed without human intervention, but later revealed that over 70% required human help.

  • What is Nate.te?

    Nate.te is an e-commerce checkout company that falsely claimed to use AI for processing orders.

  • What are the implications of these findings?

    The findings suggest widespread fraud and misrepresentation in the AI industry, raising concerns about its sustainability.

  • What is the overall sentiment about the AI industry?

    The AI industry is seen as a bubble, with many companies likely to fail due to misclassification and fraud.

  • What are the potential consequences of AI automation?

    AI automation could have harsh consequences for various career fields, especially white-collar jobs.

  • Is the current state of AI technology sustainable?

    No, the current state is considered unsustainable with many companies destined for failure.

  • How does the AI industry compare to past bubbles?

    The AI industry is compared to the crypto bubble, dot-com bubble, and Dutch tulip mania.

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Défilement automatique:
  • 00:00:04
    Okay, today I want to paint a sort of
  • 00:00:06
    picture for everyone about the current
  • 00:00:08
    state of AI technology. Not because I
  • 00:00:10
    don't think it's dangerous. It most
  • 00:00:11
    certainly is. Or that it won't have an
  • 00:00:13
    outsized impact on various different
  • 00:00:14
    career fields because it will with
  • 00:00:16
    likely insane levels of consequence, by
  • 00:00:18
    the way, but more so because the current
  • 00:00:20
    state of the industry when it comes to
  • 00:00:21
    startup companies is kind of hilarious.
  • 00:00:24
    Let me begin with this sort of
  • 00:00:26
    foundation narrative building, you could
  • 00:00:28
    call it. In March of 2019, which doesn't
  • 00:00:30
    seem that long ago on paper, but in the
  • 00:00:32
    world of technology is rather
  • 00:00:33
    substantial, British venture capital
  • 00:00:35
    firm MMC conducted a survey of 2830
  • 00:00:39
    European startups that are officially
  • 00:00:40
    classified as AI companies. What's
  • 00:00:43
    interesting about that, however, is that
  • 00:00:45
    only 1580, 1,580 of those companies were
  • 00:00:48
    found to have any evidence of actually
  • 00:00:50
    working in the field, while the
  • 00:00:52
    remaining 1,250, which is about 40% of
  • 00:00:55
    the entire group, probably had nothing
  • 00:00:57
    to do with it. This was a
  • 00:00:59
    two-dimensional problem at the time.
  • 00:01:01
    First, because some of the startups were
  • 00:01:02
    obviously pretending to have AI
  • 00:01:04
    relevance, capitalizing on hype, but
  • 00:01:06
    second, and more importantly, because
  • 00:01:08
    even financial analysts were
  • 00:01:10
    mclassifying companies as AI related,
  • 00:01:13
    even when they were not in fact related
  • 00:01:15
    in the slightest. Quote, possibly
  • 00:01:17
    because AI companies attract higher
  • 00:01:19
    investments. End quote. See the problem?
  • 00:01:22
    Obviously, this particular research is
  • 00:01:23
    based in Europe, but 40% of startup
  • 00:01:26
    companies being mclassified as AI based
  • 00:01:28
    when they actually have nothing to do
  • 00:01:30
    with it, likely for the purpose of
  • 00:01:31
    attracting higher investment. That's an
  • 00:01:33
    issue. And it's probably not all that
  • 00:01:35
    different here in America either. Except
  • 00:01:37
    why don't we go one step further?
  • 00:01:39
    Instead of focusing on companies that
  • 00:01:41
    obviously have nothing to do with AI,
  • 00:01:43
    yet still classify themselves or get
  • 00:01:44
    classified by analysts as being
  • 00:01:46
    AIcentric, why don't we turn and focus
  • 00:01:48
    on a very much not uncommon situation
  • 00:01:51
    where companies that seem to be well
  • 00:01:52
    positioned in the world of AI
  • 00:01:54
    development or adoption are simply lying
  • 00:01:57
    about it. Of course, everyone saw the
  • 00:01:59
    title. So, let's dig into the reality of
  • 00:02:01
    AI being actually Indian workers. The
  • 00:02:05
    biggest and most recent example of this,
  • 00:02:07
    but trust me, there's many more, is a
  • 00:02:09
    company called Builder.ai.
  • 00:02:11
    Supposedly leveraging a combination of
  • 00:02:12
    human workers and AI language models
  • 00:02:14
    with extreme emphasis placed on the
  • 00:02:16
    technology side of things. Builder.ai
  • 00:02:18
    positioned itself as a $ 1.5 billion
  • 00:02:21
    Microsoftbacked startup. They had this
  • 00:02:24
    virtual assistant called Natasha, which
  • 00:02:26
    would supposedly help people build
  • 00:02:28
    software applications. But in June of
  • 00:02:30
    2025, after a creditor seized something
  • 00:02:32
    like $37 million from their bank account
  • 00:02:35
    as a result of poor financial
  • 00:02:36
    performance, the world suddenly found
  • 00:02:38
    out that no, builder.ai was not some
  • 00:02:41
    clever use of technology. It was instead
  • 00:02:44
    about 700 to a,000 workers from India
  • 00:02:47
    pretending to be chatbots. Digging a
  • 00:02:50
    little bit deeper, the writing was on
  • 00:02:51
    the wall for this company for about 5 or
  • 00:02:53
    6 years beforehand. All the way back in
  • 00:02:56
    2019 when the company was known as
  • 00:02:58
    Engineer.ai. AI. The Wall Street Journal
  • 00:03:00
    reported, quote, "Startupngineer.ai
  • 00:03:03
    says it uses artificial intelligence
  • 00:03:05
    technology to largely automate the
  • 00:03:06
    development of mobile apps, but several
  • 00:03:08
    current and former employees say the
  • 00:03:10
    company exaggerates its AI capabilities
  • 00:03:12
    to attract customers and investors." End
  • 00:03:15
    quote. That's basically a six-year
  • 00:03:17
    premonition of what would ultimately
  • 00:03:18
    destroy the company, seeing as they've
  • 00:03:20
    now entered bankruptcy proceedings. But
  • 00:03:22
    when a $ 1.5 billion startup backed by
  • 00:03:25
    Microsoft goes belly up for faking the
  • 00:03:27
    entire premise of their AI technology
  • 00:03:30
    instead using human workers, it requires
  • 00:03:33
    the question to be asked, how many more
  • 00:03:35
    companies are doing this? Answer, a lot
  • 00:03:38
    of them are doing it. And if we think of
  • 00:03:39
    the entire industry right now, not only
  • 00:03:41
    are nearly 40% of AI startups being
  • 00:03:44
    inaccurately classified in the first
  • 00:03:46
    place for the purpose of attracting
  • 00:03:47
    undeserved investment, the remaining
  • 00:03:49
    companies that aren't might very well be
  • 00:03:52
    faking it. Let's use another example.
  • 00:03:54
    Pretty much all of the world's largest
  • 00:03:56
    companies are actively developing their
  • 00:03:58
    own AI models. Think Apple, Google,
  • 00:04:01
    Microsoft, etc. But one company in
  • 00:04:03
    particular, Amazon in this case, is
  • 00:04:05
    where I want to focus. Amazon is
  • 00:04:07
    primarily an online e-commerce cloud
  • 00:04:10
    computing and shipping company, but they
  • 00:04:12
    also have a very specific small retail
  • 00:04:14
    offering called Just Walk Out
  • 00:04:17
    Technology. Reading from the company's
  • 00:04:18
    own website, quote, "Just walk out
  • 00:04:21
    eliminates traditional checkout lines,
  • 00:04:23
    creating a seamless shopping experience
  • 00:04:25
    using advanced AI, sensors, computer
  • 00:04:28
    vision, and RFID. Just Walk Out
  • 00:04:30
    accurately tracks item selection and
  • 00:04:32
    automates payment when shoppers exit the
  • 00:04:34
    store." End quote. That's pretty cool on
  • 00:04:37
    its face, right? Walk in, do your
  • 00:04:39
    shopping, walk out, and the AI takes
  • 00:04:41
    care of everything else. It's a
  • 00:04:43
    nightmare in terms of privacy, but it's
  • 00:04:44
    a benefit in terms of convenience, which
  • 00:04:46
    most people are happy to accept as a
  • 00:04:47
    trade. However, come to find out, first
  • 00:04:50
    reported by the information, Just Walk
  • 00:04:53
    Out was largely reliant, as in about 70%
  • 00:04:56
    of all orders, on human workers in India
  • 00:05:00
    who would physically watch what
  • 00:05:01
    customers picked up or walked out with
  • 00:05:04
    on some sort of feed presumably and
  • 00:05:06
    verify the orders that way. Once again,
  • 00:05:09
    revolutionary AI technology was just a
  • 00:05:12
    bunch of lowpaid overseas workers. A
  • 00:05:15
    couple years later, Amazon began moving
  • 00:05:17
    towards something called Dash Carts,
  • 00:05:19
    which would detect whatever item you
  • 00:05:20
    physically put in your cart and make
  • 00:05:22
    checkouts easier that way. But the point
  • 00:05:24
    I'm trying to make is that Dash carts
  • 00:05:26
    don't have advanced AI technology and
  • 00:05:28
    computer vision. It's just a scanner
  • 00:05:31
    system that replaces the checkout
  • 00:05:32
    counter. That's two examples so far, but
  • 00:05:35
    next one is by far my favorite. So, let
  • 00:05:38
    me just play a news clip for you real
  • 00:05:40
    fast. Hi, what can I make fresh for you
  • 00:05:42
    today? AI is here in the valley and it's
  • 00:05:44
    looking to take your order. What else?
  • 00:05:46
    It's a new system. It's reliable. It's
  • 00:05:48
    there 24/7 and it really helps. In
  • 00:05:51
    partnership with Presto Automation,
  • 00:05:53
    Carl's Jr. is bringing out artificial
  • 00:05:55
    intelligence to take orders at
  • 00:05:56
    drive-throughs. With one of the first
  • 00:05:58
    locations in the country being in
  • 00:06:00
    Buckeye, okay, so AI partnership for
  • 00:06:03
    takeout orders, Presto the company, and
  • 00:06:05
    Carl's Jr. as the customer. Sounds good.
  • 00:06:08
    Well, Presto is an AI classified startup
  • 00:06:11
    company providing their automated
  • 00:06:13
    solutions to fast food giants and chains
  • 00:06:16
    with customers like Del Taco, Hardies,
  • 00:06:19
    Checkers, and obviously Carl's Jr.,
  • 00:06:20
    right? That one we already said. But if
  • 00:06:22
    you start looking at the way that their
  • 00:06:24
    executives talk about the service,
  • 00:06:26
    something really strange happens. In
  • 00:06:28
    late 2021, December to be precise,
  • 00:06:31
    speaking to Karen Webster of a site
  • 00:06:33
    called Payments, CEO of Presto, Rajat
  • 00:06:36
    Rajuri had this to say. quote, "Our
  • 00:06:39
    system actually takes over 95% of all
  • 00:06:43
    orders without human intervention. We're
  • 00:06:45
    about to announce the largest national
  • 00:06:47
    rollout of this technology ever. It's
  • 00:06:50
    going to be announced in early January.
  • 00:06:51
    It's going to be with a big chain and
  • 00:06:53
    they're going allin on it." End quote.
  • 00:06:56
    Sounds great, right? AI tech startup,
  • 00:06:58
    the biggest rollout ever with a major
  • 00:07:00
    partner. 95% of orders require no human
  • 00:07:04
    intervention, which are very carefully
  • 00:07:07
    chosen words, by the way. But we have to
  • 00:07:08
    keep in mind that there is a very big
  • 00:07:11
    difference in what the executives of a
  • 00:07:12
    company like this are willing to say to
  • 00:07:14
    the media, compared to what they're
  • 00:07:16
    willing to say when it's the SEC. Yeah.
  • 00:07:19
    If you switch over and look at a form 8K
  • 00:07:21
    Presto Automations November 16th, 2023
  • 00:07:24
    filing with the SEC, we find a very
  • 00:07:27
    interesting statement. Quote, "As we
  • 00:07:30
    continue to grow our Presto Voice
  • 00:07:32
    business, we are focusing on increasing
  • 00:07:34
    the rate at which our solution
  • 00:07:35
    successfully receives orders without the
  • 00:07:37
    need for any human agent intervention,
  • 00:07:40
    commonly referred to as humans in the
  • 00:07:42
    loop. Currently, over 70% of orders
  • 00:07:45
    taken by our Presto Voice solution
  • 00:07:47
    require human agent intervention. As we
  • 00:07:50
    continue to improve our AI accuracy and
  • 00:07:52
    further deploy Presto Voice across store
  • 00:07:54
    locations, we believe that the
  • 00:07:56
    percentage of orders that do not require
  • 00:07:58
    any human agent intervention will reach
  • 00:08:00
    30% or better. End quote. Let's get
  • 00:08:03
    something straight here. Okay. In 2021,
  • 00:08:07
    Mr. Suri was telling the media that 95%
  • 00:08:10
    of their orders are entirely AI
  • 00:08:12
    processed. However, in 2023, his company
  • 00:08:15
    was telling the SEC that less than 30%
  • 00:08:18
    of their orders were automated, over 70%
  • 00:08:22
    required direct human intervention to
  • 00:08:24
    make them accurate, and that the company
  • 00:08:25
    was hopeful that they might achieve a
  • 00:08:28
    less than one-third automation rate in
  • 00:08:31
    the future. I'm not going to make any
  • 00:08:32
    sort of definitive statements here, but
  • 00:08:34
    that kind of feels like it might be
  • 00:08:36
    outright fraud. Here's the hook.
  • 00:08:38
    Speaking of fraud, we have another great
  • 00:08:40
    example. This time from an AI e-commerce
  • 00:08:43
    checkout company called Nate.te.
  • 00:08:46
    Nate.te is still online, though it
  • 00:08:49
    probably shouldn't be. This is their
  • 00:08:50
    website right here advertising a
  • 00:08:52
    supposed mobile application where all
  • 00:08:54
    you have to do is click something and
  • 00:08:56
    the entire order gets processed for you
  • 00:08:58
    with an AI solution. It's a timesaver.
  • 00:09:01
    Once again, convenience is the selling
  • 00:09:02
    point by avoiding the tedium of entering
  • 00:09:04
    payment credentials, billing details,
  • 00:09:06
    and personal information on whatever
  • 00:09:08
    various platforms you shop under, which
  • 00:09:10
    is very sensitive information, I might
  • 00:09:12
    add. However, in April of 2025, handed
  • 00:09:16
    down in the Southern District of New
  • 00:09:18
    York, a fraud indictment became public,
  • 00:09:20
    alleging, quote, "Albert Sager defrauded
  • 00:09:23
    investors with fabrications of his
  • 00:09:25
    company's purported artificial
  • 00:09:26
    intelligence capabilities while covertly
  • 00:09:28
    employing personnel to satisfy the
  • 00:09:30
    illusion of technological automation."
  • 00:09:33
    End quote. That's already pretty
  • 00:09:34
    succinct. And we have to remember here
  • 00:09:36
    that there's a massive implication
  • 00:09:38
    behind the process of giving payment
  • 00:09:39
    details to a company and then having it
  • 00:09:41
    not actually be an automated solution
  • 00:09:43
    that processes your payment details.
  • 00:09:45
    Okay, there's a whole quagmire of
  • 00:09:47
    problems there. But let me just read
  • 00:09:49
    another paragraph for editorial
  • 00:09:50
    emphasis. I'll call it quote. Sager used
  • 00:09:54
    hundreds of contractors or purchasing
  • 00:09:56
    assistants in a call center located in
  • 00:09:58
    the Philippines to manually complete
  • 00:10:00
    purchases occurring over the Nate app.
  • 00:10:02
    In or about the fall of 2021 with the
  • 00:10:05
    busy holiday shopping approaching and
  • 00:10:07
    despite his numerous prior
  • 00:10:08
    representations that Nate did not use
  • 00:10:10
    bots or dumb bots as he referred to
  • 00:10:12
    them, Sager directed Nate's engineering
  • 00:10:14
    team to develop bots to automate some
  • 00:10:17
    transactions on the Nate app. After
  • 00:10:19
    creating the bots, Nate used bots in
  • 00:10:21
    addition to the manual teams to complete
  • 00:10:23
    purchases that were purportedly being
  • 00:10:26
    completed by AI technology. End quote.
  • 00:10:29
    That is absolutely hilarious to me
  • 00:10:31
    because it perfectly exemplifies a much
  • 00:10:33
    larger thanex expected portion of the AI
  • 00:10:36
    tech bro startup world. This CEO
  • 00:10:39
    decided, let's make an AI application
  • 00:10:42
    and then failed to do so. instead using
  • 00:10:44
    underpaid human workers in the
  • 00:10:46
    Philippines. After which he returned to
  • 00:10:48
    prior existing technology which he had
  • 00:10:50
    previously referred to as dumb using a
  • 00:10:52
    combination of those dumb bots and low
  • 00:10:55
    paid human workers all for the purpose
  • 00:10:57
    of impersonating an AI program. Oh, and
  • 00:11:01
    the company attracted $51 million across
  • 00:11:04
    three separate funding rounds. Let's get
  • 00:11:06
    that straight. How about a recap with
  • 00:11:09
    just these four examples so far?
  • 00:11:11
    Billions of dollars in investment
  • 00:11:13
    capital has been funneled into companies
  • 00:11:15
    that would supposedly use AI to
  • 00:11:17
    revolutionize app development, retail
  • 00:11:19
    checkouts, e-commerce checkouts, and
  • 00:11:21
    fast food ordering, all of which are
  • 00:11:23
    substantial businesses. Builder.ai for
  • 00:11:26
    the app development side was just a
  • 00:11:28
    bunch of underpaid developers in India.
  • 00:11:31
    Amazon's just walk out technology,
  • 00:11:33
    retail checkouts this time, now seems to
  • 00:11:35
    be getting pushed out the door, no pun
  • 00:11:37
    intended there, after allegations that
  • 00:11:39
    instead of advanced machine learning, it
  • 00:11:41
    was just overseas workers also in India.
  • 00:11:44
    Presto, the fast food delivery
  • 00:11:46
    disruptor, if you want to call it that,
  • 00:11:47
    is on record stating that 95% of orders
  • 00:11:50
    have been successfully automated since
  • 00:11:52
    2021, but then quietly to the SEC
  • 00:11:54
    clarifying that not even onethird of
  • 00:11:57
    their orders have been automated in
  • 00:11:58
    2023, with all the rest requiring human
  • 00:12:01
    intervention. and Nate.te supposedly
  • 00:12:04
    revolutionizing the e-commerce checkout
  • 00:12:06
    process with artificial intelligence and
  • 00:12:08
    major financial backers was again really
  • 00:12:11
    just a bunch of human workers this time
  • 00:12:13
    in the Philippines. Pretty
  • 00:12:15
    impressive industry we got going on here
  • 00:12:16
    guys. I want to end with this. I am
  • 00:12:19
    fully aware of the dangers that AI
  • 00:12:20
    automation can pose. I think there will
  • 00:12:22
    be incredibly harsh consequences for a
  • 00:12:24
    lot of companies, career fields, and
  • 00:12:26
    white collar workers especially. And I'm
  • 00:12:28
    not sure what regulatory responses would
  • 00:12:30
    be appropriate right now or if an
  • 00:12:32
    adequate response will even ever appear.
  • 00:12:34
    But I do also understand that the
  • 00:12:36
    industry is now unbelievably bloated.
  • 00:12:39
    Artificial intelligence across multiple
  • 00:12:41
    sectors is a lightning rod for
  • 00:12:43
    multi-billion dollar fraud schemes and
  • 00:12:45
    self-enrichment of the highest order.
  • 00:12:47
    The level of delusion being pedled
  • 00:12:49
    widespread now and subsequently eaten up
  • 00:12:51
    by venture capital investment firms
  • 00:12:53
    among many others is staggering. And
  • 00:12:56
    even if the underlying technology does
  • 00:12:57
    indicate massive upheaval in the future,
  • 00:13:00
    the current state of the AI industry is
  • 00:13:02
    a clear and obvious bubble. What we see
  • 00:13:05
    today is unsustainable in any sense of
  • 00:13:08
    the word when it comes to cash infusion
  • 00:13:10
    with a super majority of all companies
  • 00:13:12
    operating in the space destined for
  • 00:13:14
    total failure because nearly half of
  • 00:13:16
    them first of all don't as in don't
  • 00:13:18
    operate in the space to begin with that
  • 00:13:21
    is. and the remaining portion of the
  • 00:13:23
    remaining portion rather it's infested
  • 00:13:25
    with outright fraud. In the end, AI is
  • 00:13:28
    certainly a revolutionary technological
  • 00:13:30
    concept when perfected or massively
  • 00:13:32
    progressed. But the AI industry as it
  • 00:13:34
    stands is just the next iteration of
  • 00:13:36
    crypto, the dot bubble, or even Dutch
  • 00:13:39
    tulip mania. 40% joke, 30% fraud, 20% I
  • 00:13:44
    don't even know what's happening right
  • 00:13:45
    now, and maybe 10% real at best. Maybe.
  • 00:13:50
    That's it. If you want to support the
  • 00:13:51
    channel, check out the links down below.
  • 00:13:52
    A special VPN deal for anyone
  • 00:13:54
    interested. Great one there. Locals and
  • 00:13:56
    Patreon for monthly memberships,
  • 00:13:57
    merchandise, social media, etc., etc.
  • 00:14:00
    But I'll cut it there and stop rambling.
  • 00:14:01
    As always, thank you all for watching.
  • 00:14:03
    Question everything and have a nice
  • 00:14:05
    night.
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  • fraud
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  • Builder.ai
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  • misclassification