Discussion summary

Amazon is ceasing new customer acceptance for Mechanical Turk, shifting workers to other automation projects. Discussions highlight the platform's role in human labeling and its replacement by newer services.

What the discussion says

  • Some users believe MT was more effective than AI.
  • Others mention the decline due to better alternatives.
  • Concerns about finding participants for studies.
  • Recognition of MT's historical significance.
“Mechanical Turk works better than any AI.”
— josefritzishere
“It's a shame. Mechanical Turk works better than any AI.”
— brokensegue

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  • Hacker News
  • Pour one out for the original A.I. (Actual Indians).
  • This has very little to do with “AI replacing jobs” and much much more to do with a bad product getting obsoleted by better ones.

    Human labeling is a two sided marketplace and so as any marketplace startup knows, both sides need to be constantly nurtured otherwise the system can collapse as worsening quality leads to churn and a vicious cycle that empties out the platform.

    In labeling, you need to understand the limitations of individual work and fatigue, keep your pipeline bursting with awesome and consistent work, and improve the platform to make customer experience great.

    AMT has been totally languishing in all these respects. Pay is terrible, dishonesty rampant, etc. It was a bad product, no need to pedestalize it or turn it political

  • I had no idea this was still around.

    It helped me buy a Battlefield 2 "Special Forces" expansion pack back in the day.

    Well, I could've bought it either way but buying it didn't impact my normal income because I did Mechanical Turk in my free time enough to get it.

  • I can see a high value startup, that will provide Human Intelligence with real Humans, locked in the room, with no network, books, LLMs and monitored 24x7 with cameras.
  • I turked for a bit trying to make some extra cash leading up to my wedding, but it was a very time-inefficient way to make money. I think I managed to wring 10 or 20 bucks out of it tops after plugging at it for a month.
  • Maybe the most unambiguous "ai will automate work" example I've seen yet.

    Absolutely does not imply the workers are automated since they can now use the current models to do more complex tasks at the vast number of new AI training data startups.

    Turk was simply not designed for greater complexity tasks and so much of their lunch has been eaten by startups specifically built to collect AI training data.

  • Back around 10 years ago, I gained a new manager who had previously managed mechanical turk. It was already recognised as a dead end back then.

    I remember him talking about getting a mandate from Amazon Security to upgrade from the long EOL MySQL 4.0 to MySQL 5.something, and that it was almost impossible to get any resources committed from leadership to even do it despite the fact it was security requiring it (which usually resulted in everyone jumping before stopping to ask how high to jump). I want to say he ended up doing it himself? Something like that..

    All existing extremely minimal headcount was tied up in a massive technical debt of KTLO work, and proposals to resolve those issues similarly met resourcing road-blocks.

  • > In a snake-eating-its-own-tail irony, a 2023 analysis found that between 33% and 46% of workers on the platform were using large language models to complete their tasks,

    I assume AI use by workers has risen to the point where it renders Mechanical Turk pointless.

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