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Forget Big Brother. It’s the startups silently watching workers now.

Technology
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  • —often backed by Silicon Valley venture capital—

    Not all "startups" are created equal I guess

    • The Rise of "Little Tech": Small startups and SaaS vendors—often backed by Silicon Valley venture capital—are leading the charge in AI-powered workplace surveillance, embedding tracking tools into everyday HR and productivity software.
    • Global Surge, Local Collapse: While countries like Brazil, Mexico, and India have privacy laws on paper, enforcement is weak, allowing both domestic and foreign vendors to deploy invasive technologies unchecked.
    • Gig Workers as Guinea Pigs: Gig economy workers in sectors like delivery and rideshare are the frontline subjects of AI surveillance, subjected to real-time tracking, biometric scans, and even models that predict union activity.
    • Surveillance Disguised as Care: AI surveillance is increasingly framed as a tool for safety, wellness, and productivity—masking coercive oversight in the language of health and efficiency.
    • Privacy Theater: Many vendors offer copy-paste privacy notices while quietly retaining worker data indefinitely. In countries like Mexico and Colombia, some companies even conduct home visits and collect data on workers' families.
    • Workers are Fighting Back: From sanitation workers in India to ride-hail drivers in Nigeria, workers are resisting algorithmic control—organizing protests, forming unions, and demanding AI transparency.

    The full report

    These are all important points and it sounds like a summary of everything that is wrong in IT wonderland.

    I guess the report goes into more detail, I guess they needed some nice headline to wrap it in, but - I wonder where they draw the line between "Big" and "Little" tech or why it's supposed to be a big gotcha that not only the biggest corporations employ outright evil tactics, exploit workers globally.

    • The Rise of "Little Tech": Small startups and SaaS vendors—often backed by Silicon Valley venture capital—are leading the charge in AI-powered workplace surveillance, embedding tracking tools into everyday HR and productivity software.
    • Global Surge, Local Collapse: While countries like Brazil, Mexico, and India have privacy laws on paper, enforcement is weak, allowing both domestic and foreign vendors to deploy invasive technologies unchecked.
    • Gig Workers as Guinea Pigs: Gig economy workers in sectors like delivery and rideshare are the frontline subjects of AI surveillance, subjected to real-time tracking, biometric scans, and even models that predict union activity.
    • Surveillance Disguised as Care: AI surveillance is increasingly framed as a tool for safety, wellness, and productivity—masking coercive oversight in the language of health and efficiency.
    • Privacy Theater: Many vendors offer copy-paste privacy notices while quietly retaining worker data indefinitely. In countries like Mexico and Colombia, some companies even conduct home visits and collect data on workers' families.
    • Workers are Fighting Back: From sanitation workers in India to ride-hail drivers in Nigeria, workers are resisting algorithmic control—organizing protests, forming unions, and demanding AI transparency.

    Yeah this is big brother still. It refers as much to a single entity as it does to an actual older sibling.

  • The full report

    These are all important points and it sounds like a summary of everything that is wrong in IT wonderland.

    I guess the report goes into more detail, I guess they needed some nice headline to wrap it in, but - I wonder where they draw the line between "Big" and "Little" tech or why it's supposed to be a big gotcha that not only the biggest corporations employ outright evil tactics, exploit workers globally.

    I feel there's a certain sad irony about the domain on that link.

  • I worked at one of those my first job out of college. The dude that started it was a used car salesman turned “serial entrepreneur”.

  • I worked at one of those my first job out of college. The dude that started it was a used car salesman turned “serial entrepreneur”.

    Oh lord. I bet he was such a joy to be around.

    • The Rise of "Little Tech": Small startups and SaaS vendors—often backed by Silicon Valley venture capital—are leading the charge in AI-powered workplace surveillance, embedding tracking tools into everyday HR and productivity software.
    • Global Surge, Local Collapse: While countries like Brazil, Mexico, and India have privacy laws on paper, enforcement is weak, allowing both domestic and foreign vendors to deploy invasive technologies unchecked.
    • Gig Workers as Guinea Pigs: Gig economy workers in sectors like delivery and rideshare are the frontline subjects of AI surveillance, subjected to real-time tracking, biometric scans, and even models that predict union activity.
    • Surveillance Disguised as Care: AI surveillance is increasingly framed as a tool for safety, wellness, and productivity—masking coercive oversight in the language of health and efficiency.
    • Privacy Theater: Many vendors offer copy-paste privacy notices while quietly retaining worker data indefinitely. In countries like Mexico and Colombia, some companies even conduct home visits and collect data on workers' families.
    • Workers are Fighting Back: From sanitation workers in India to ride-hail drivers in Nigeria, workers are resisting algorithmic control—organizing protests, forming unions, and demanding AI transparency.

    So why are we making the Combine from Vacuum Flowers?

    • The Rise of "Little Tech": Small startups and SaaS vendors—often backed by Silicon Valley venture capital—are leading the charge in AI-powered workplace surveillance, embedding tracking tools into everyday HR and productivity software.
    • Global Surge, Local Collapse: While countries like Brazil, Mexico, and India have privacy laws on paper, enforcement is weak, allowing both domestic and foreign vendors to deploy invasive technologies unchecked.
    • Gig Workers as Guinea Pigs: Gig economy workers in sectors like delivery and rideshare are the frontline subjects of AI surveillance, subjected to real-time tracking, biometric scans, and even models that predict union activity.
    • Surveillance Disguised as Care: AI surveillance is increasingly framed as a tool for safety, wellness, and productivity—masking coercive oversight in the language of health and efficiency.
    • Privacy Theater: Many vendors offer copy-paste privacy notices while quietly retaining worker data indefinitely. In countries like Mexico and Colombia, some companies even conduct home visits and collect data on workers' families.
    • Workers are Fighting Back: From sanitation workers in India to ride-hail drivers in Nigeria, workers are resisting algorithmic control—organizing protests, forming unions, and demanding AI transparency.

    Reminder that any sort of workplace surveillance is outright illegal in some EU countries. It could even be considered a criminal act.

    • The Rise of "Little Tech": Small startups and SaaS vendors—often backed by Silicon Valley venture capital—are leading the charge in AI-powered workplace surveillance, embedding tracking tools into everyday HR and productivity software.
    • Global Surge, Local Collapse: While countries like Brazil, Mexico, and India have privacy laws on paper, enforcement is weak, allowing both domestic and foreign vendors to deploy invasive technologies unchecked.
    • Gig Workers as Guinea Pigs: Gig economy workers in sectors like delivery and rideshare are the frontline subjects of AI surveillance, subjected to real-time tracking, biometric scans, and even models that predict union activity.
    • Surveillance Disguised as Care: AI surveillance is increasingly framed as a tool for safety, wellness, and productivity—masking coercive oversight in the language of health and efficiency.
    • Privacy Theater: Many vendors offer copy-paste privacy notices while quietly retaining worker data indefinitely. In countries like Mexico and Colombia, some companies even conduct home visits and collect data on workers' families.
    • Workers are Fighting Back: From sanitation workers in India to ride-hail drivers in Nigeria, workers are resisting algorithmic control—organizing protests, forming unions, and demanding AI transparency.

    **Workers are Fighting Back**: From sanitation workers in India to ride-hail drivers in Nigeria, workers are resisting algorithmic control—organizing protests, forming unions, and demanding AI transparency.

    You love to see it ❤
    Hope the IWW or similar organizations will gain some momentum here.

    • The Rise of "Little Tech": Small startups and SaaS vendors—often backed by Silicon Valley venture capital—are leading the charge in AI-powered workplace surveillance, embedding tracking tools into everyday HR and productivity software.
    • Global Surge, Local Collapse: While countries like Brazil, Mexico, and India have privacy laws on paper, enforcement is weak, allowing both domestic and foreign vendors to deploy invasive technologies unchecked.
    • Gig Workers as Guinea Pigs: Gig economy workers in sectors like delivery and rideshare are the frontline subjects of AI surveillance, subjected to real-time tracking, biometric scans, and even models that predict union activity.
    • Surveillance Disguised as Care: AI surveillance is increasingly framed as a tool for safety, wellness, and productivity—masking coercive oversight in the language of health and efficiency.
    • Privacy Theater: Many vendors offer copy-paste privacy notices while quietly retaining worker data indefinitely. In countries like Mexico and Colombia, some companies even conduct home visits and collect data on workers' families.
    • Workers are Fighting Back: From sanitation workers in India to ride-hail drivers in Nigeria, workers are resisting algorithmic control—organizing protests, forming unions, and demanding AI transparency.

    While countries like Brazil, Mexico, and India have privacy laws on paper, enforcement is weak, allowing both domestic and foreign vendors to deploy invasive technologies unchecked.

    So they're doing just as well as the US?

  • The type of people that get themselves in to Entrepreneurship for the sole reason of not specifically solving a problem they’re interested in but that just want to be seen as important “i can business” people so they over promises a layer of AI on top of random situations in hopes they can hold together a charade long enough to get VC interest and an exit.

    Do you think a plumber dreams about being a plumber?

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    P
    That update though: "... completely removed..." I assume this is because someone at Meta realized this was a huge breach of trust, and likely quite illegal. Edit: I read somewhere that they're just being cautious about Google Play terms of service. That feels worse.
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    T
    In those situations I usually enable 1.5x.
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    it's an insecurity.
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    Sorry for the late reply, I had to sit and think on this one for a little bit. I think there are would be a few things going on when it comes to designing a course to teach critical thinking, nuances, and originality; and they each have their own requirements. For critical thinking: The main goal is to provide students with a toolbelt for solving various problems. Then instilling the habit of always asking "does this match the expected outcome? What was I expecting?". So usually courses will be setup so students learn about a tool, practice using the tool, then have a culminating assignment on using all the tools. Ideally, the problems students face at the end require multiple tools to solve. Nuance mainly naturally comes with exposure to the material from a professional - The way a mechanical engineer may describe building a desk will probably differ greatly compared to a fantasy author. You can also explain definitions and industry standards; but thats really dry. So I try to teach nuances via definitions by mixing in the weird nuances as much as possible with jokes. Then for originality; I've realized I dont actually look for an original idea; but something creative. In a classroom setting, you're usually learning new things about a subject so a student's knowledge of that space is usually very limited. Thus, an idea that they've never heard about may be original to them, but common for an industry expert. For teaching originality creativity, I usually provide time to be creative & think, and provide open ended questions as prompts to explore ideas. My courses that require originality usually have it as a part of the culminating assignment at the end where they can apply their knowledge. I'll also add in time where students can come to me with preliminary ideas and I can provide feedback on whether or not it passes the creative threshold. Not all ideas are original, but I sometimes give a bit of slack if its creative enough. The amount of course overhauling to get around AI really depends on the material being taught. For example, in programming - you teach critical thinking by always testing your code, even with parameters that don't make sense. For example: Try to add 123 + "skibbidy", and see what the program does.
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    halcyon@discuss.tchncs.deH
    Though babble fish is a funny term, Douglas Adams named the creature "Babel fish", after the biblical story of the tower of Babel.
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    I also need to know the way to delete twitter account of my brand : https://stylo.pk/ .
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