The AI stood for Actual Intelligence
Not The Onion
Welcome
We're not The Onion! Not affiliated with them in any way! Not operated by them in any way! All the news here is real!
The Rules
Posts must be:
- Links to news stories from...
- ...credible sources, with...
- ...their original headlines, that...
- ...would make people who see the headline think, “That has got to be a story from The Onion, America’s Finest News Source.”
Please also avoid duplicates.
Comments and post content must abide by the server rules for Lemmy.world and generally abstain from trollish, bigoted, or otherwise disruptive behavior that makes this community less fun for everyone.
And that’s basically it!
Except for, you know, admitting to fraud in public.
AI stood for An Intern.
It was just his name. Names Alan, Al for short
I think Weird Al Yankovic posted a picture some time back saying all his songs have been Al generated or such. Couldn't quickly find a copy now.
A couple years ago I worked for a robotics startup that I learned got their start by 100% faking a demo for early customers. They had some magic box that an item would lower into and then the device would “scan” the item and spit out a bunch of data about it. It was entirely fake, the data was predetermined. That landed them a few early series investments that allowed them to do some “real” work. The founders were proud of this sham enabling them to start a company. Whole thing made me sick.
Reminds me a bit of Theranos. “Pay no attention to the man (or woman) behind the curtain”…
https://en.wikipedia.org/wiki/The_Dropout is a good mini series on it, I wasn't overly familiar with the story
That's pretty much how all concept demos work at start. At some point they might actually do the thing, but need a lot of careful setup and pushing along. Later on, they start to work for some cases, then more cases and hopefully before they go in the field there's certainty and fault handling that they more or less work.
How honest the marketing is about this process and their market research varies. But investors generally know how the sausage is made, too.
A decade ago my company was selling some "ML classification" service for service request calls, which in fact was 200 people in India being paid low wages even for India to do that 10 hours a day.
They were replaced by a simple neural network and I see they advertise now advanced AI agents, which I'm pretty sure are again 200 people in India
Nah it's AI. Actually Indian. Amazon got popped for this last year.
“Amazon Mechanical Turk” works off of this
The Practical AI podcast interviewed the Fireflies CEO very recently (that’s who this article is about)
He was super transparent about being a cheap transcriptionist in the beginning, because he was trying to prove market demand in 2017, long before ChatGPT turned the world over. Basically doing it for his friends.
As someone in the tech and startup fields, I can say one of the best ways to make a great product is to do the thing you want to automate and learn how it works. This is an excellent example of that approach.
The co-founders held their tech startup together for 3-4 years, doing the best they could with keyword matching and voice transcription from the olden days, before it exploded in 2021(?) up to about 10m in revenue. Then they got early access to gpt 3.5 in 2022 because one of their investors was also an investor in OpenAI.
They were almost ahead of their time, and they were well positioned to take advantage of the huge power that GPT models brought to their business.
Excellent example of being in the right place at the right time, with a great vision and good network.
Very interesting context. The article, and especially its headline, make it sound a little different.
This concierge approach is nothing new; it existed even before LLMs are a thing.
One of my courses in undergrad computer science is Human-Computer Interaction, in which we learn about user experience (UX) concepts.
One of the things we learnt is to validate our ideas quickly and cheaply before putting a lot of time, effort and money into building the thing.
To do so, what we can do is build prototypes. The early versions may be be low-fidelity (lofi) and are scrappy. The later, high-fidelity (hifi) ones would mimic the functionality of the actual products, and may even appear to work to end users when in reality it could be just be manual effort behind the scenes.
The example given during lecture is the development of a ticketing system. To test the idea out, one could simply get a dude to sit in the "machine" and give out slips of paper.
Anyway, I am explaining all these because this seems like a surprise to those without the same educational background. Long story short, what this startup did is completely normal in the realm of software.
We may have better tools like Figma to simulate browser / mobile frontend experiences, but nothing is stopping us from going back to the basics and doing it this way.
I get it, you enjoyed your HCI course. I did too.
What you need to understand is you can do this, but you can't mislead investors into thinking your Mechanical Turk isn't a man in a box. That is fraud.
I can't stress enough: this is literally why Elizabeth Holmes is in jail right now.
I don't think that's anywhere close to what was happening here, though.
There already are transcription services (which are now being branded as AI but are using tech that has existed for 15 years at least). So, surely this startup's claim is that they're going to make a more advanced transcription service using new AI algorithms. And as a "proof of concept" they secretly use a human to perform better transcriptions than any existing algorithm does. So in reality it proves jack shit.
Their interface is just a rehash of existing services, the only thing new they could bring to the table is an actually better algorithm, which they don't have, so they just faked it. Meaning they have nothing of value at all.
Not just normal, but correct. Try out a workflow before enshrining it. Nothing is perfect from the beginning.
Ahh, no. If this guy's company was in the prototype stage and they were doing this with potential, knowing clients then I'd agree with y'all. But this is someone selling a lie.
It'd be like if I said I was selling a multiplayer game, and when it came out, all the other "players" were NPCs with your friend's username. Don't worry, I'll figure out the actual multiplayer later! This is normal and correct!
…all the other "players" were NPCs with your friend's username. Don't worry, I'll figure out the actual multiplayer later! This is normal and correct!
Have you heard about the term .io games? Because this is indeed something that happens regularly…
This starting to reassemble the dot com bubbie.
Hahaha this is brilliant.
We're taking the jobs back AI!......
Pay no attention to the man behind the curtain
honestly...Yeah man I'd pay for this.
Gotta love how corporations are just resource burning machines.
- Have all employees commuting to the office.
- Organize meetings.
- Add transcription agents, because nobody's paying attention.
The result is the same or worse than just sending an email to people in their homes, but burns through 800x more resources.
That way maybe some of it will be accurate.
Fake it 'til you make it!
Dude's winning at life. Providing the best possible service.
I do find it incredibly expensive. Why prefer a ai offering if it ain't cheap?
And it didn't happen by accident either. That was his business idea right from the start. Even the eventual reveal.
(I don't know, but I hope so)