HI version is available. Content is displayed in original English for accuracy.
Advertisement
Advertisement
⚡ Community Insights
Discussion Sentiment
62% Positive
Analyzed from 2694 words in the discussion.
Trending Topics
#turk#mechanical#tasks#down#task#data#going#mturk#enough#humans

Discussion (116 Comments)Read Original on HackerNews
The effort failed to find any areas of interest and the missing aviator was found the following year by a hiker. I wonder if there was any analysis after the fact to understand if the imagery actually provided any hints regarding the eventual crash site.
I believe the issue is that this can no longer be a horizontal play. MTurk was mostly for unskilled tasks...the kind AI can do well enough that it isn't worth the cost differential to verify it or keep farmed to humans. The "trust but verify" AI output is now the kind that requires domain expertise. This is what most full stack AI companies are bringing to industries.
Curious if this kind of work will come around again one day or was just a moment in time. If it does I'm sure it will be specifically about generating training data.
"This robot is having trouble folding a tshirt help it out for 1$"
Unless they go the waymo route of highly trusted people but I think mass deployed robots are a bit safer than a car for this.
I can imagine a carefully orchestrated plot to assassinate someone by having an embedded agent in the task delegation pool command the laundry bot to punch the target's head off their shoulders.
Though like as not you're still going to be right, after all, Stuxnet happened.
The worker needs to do a bunch to opt into any given work group, which makes the (lack of) payments extremely unreasonable on top of everything else
Except, I'm a grown adult and I can't fold a t-shirt properly
Oh, I remember UpWork.
However, I'm not sure a single platform will be how it emerges
My favorite part of AMT is always going to be figuring out that if we only paid in $0.07 intervals, their commission algorithm would round down to the nearest whole cent when their 20% commission resulted in a fractional cent on the unit transaction level, not the monthly invoice level. Was ultimately worth it to have implemented https://git.generalresearch.com/panels/amt-jb/tree/jb/flow/a...
> Initially the annotation of biomedical literature but left academia for commercial use where we transitioned to arbitrage the market research and ephemeral task markets. It was essentially a research panel with a underdeveloped UI for tasks.. so abstract away AMT's tooling so it can be used by any buyer in the ResTech, Political Polling and Data Annotation space.
Reading this is similar to how I feel when I've asked Claude about something it coded for me. As with Claude, I think I get it after reading it three times; you guys were a middleman that provided a simplified interface for Mechanical Turk?
can someone ELI5 because what in the office space
Long story short: Mechanical Turk saved my bacon.
Back in 2005, I was working a job at a small-town newspaper in a town I’d never lived before. I didn’t know anyone beyond the staff (as I was working layout rather than as a reporter), and I had gotten interested in the idea of doing Mechanical Turk for a few extra bucks. I thought there might be a formative scene of interested people doing this, so I started working on a blog for it. I briefly collaborated on it with another guy who put it on forum software because he didn’t know how to use, like Drupal.
That blog was called Turking.com, and it seemed like it was going well for a bit. We even got a mention on the AWS website. But after about two or three months, it was clear the initial excitement around the idea (and the initial work) had died down. (The work picked up later, but in clearly different ways. I don’t think folks were really “excited” about it after that point.)
If you want to get an idea of it, there was one capture on the Wayback Machine: https://web.archive.org/web/20051124231722/http://www.turkin...
The site had started to die out in part because my iBook suffered a catastrophic GPU failure and me, being a broke small-town newspaper employee, did not have the money to replace it. Plus, the community just hadn’t emerged like we had expected.
But then I got an email out of the blue: Someone wanted to buy my domain, which I owned outright, but they didn’t want to say who. I got contacted by a broker, and the exchange took place over escrow.
(The domain most assuredly was bought by Amazon and is managed by MarkMonitor.)
I didn’t get a ton of money from the deal, but I did get enough to pay for a new laptop. I had some regrets about selling it (in part because I originally built the site with someone else), but I was in a bit of a dire financial situation which that proved to be the starting point for getting myself out of.
That domain purchase was notably more than I ever made from clicking and classifying random pictures, that said.
Nothing wrong with your story, but that summary is terrible. You had a domain for a blog and someone bought it. That’s it. Mechanical Turk is inconsequential, as is the subject of the blog, the story would have been exactly the same if your blog had been about turkey sandwiches and Burger King offered to buy it.
I learned a lot from that situation that I took to future sites.
Any remotely open platform for this sort of stuff is going to wrecked by LLMs. But making some sort of high trust, high verification market is going to end up sending prices high enough that it becomes an unattractive proposition for use. And even in that case it's just going to be a cat and mouse game of people figuring out how to game the system enough to get trusted before handing it off to the LLM.
And same dynamic will apply to most cases. Unless you actually bring it in house with strict oversight. Which is thing to avoid originally...
Mercor has a market value of $20B basically doing the same thing but desperately trying to find workers.
Well it did work, in the sense that I managed to complete some tasks. I don't think I ever collected the money/credits back then though (simply because it amounted to so little). What I can attest though is that... it was debilitating. If you think your office job is boring then splitting it in way smaller tasks where you have no autonomy is absolutely terrible from a worker standpoint.
I initially was hoping to use it in order to work on providing a service over a dataset but understanding first hand what it takes to make it happen made me stop. It radically changed how I saw supervised learning since, and sadly not in a good way.
The problem as I see it is verifying the work is not done by AI. If it was possible to verify somehow that the work is definitely not done by AI I think there would still be a market for this. But the data just cannot be trusted.
An increasingly big part of my job is to try and weed out workers who use AI and it's not an easy task at scale because generally workers gain trust with manual work and then there is degradation over time.
Proctoring?
Locked down devices?
In any case Locking down devices isn't really pragmatic at scale for relatively low value tasks, and also introduces complexity about employment law where I am.
They are terribly monotonous tasks.
I can see why it's shutting down if its still the same thing.
Lllms could probably do everything there without rotting out minds for basically pennies.
It appears now we can get along with just a single “artificial.”
https://arstechnica.com/information-technology/2017/11/expen...
The only use I can think of it these days is for social scientists who need to gather judgements from bona fide humans.
This will be devastating for a lot of workers in low-infrastructure countries.