this post was submitted on 29 Feb 2024

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Could Google be using Reddit to revive an ancient, failed project? — 60,000+ Redditors may well be mTurk’ing for Google Answers 2.0 (www.techradar.com)

submitted 1 year ago by VITecNet@programming.dev to c/technology@lemmy.world

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[–] SpeedLimit55@lemmy.world 63 points 1 year ago (2 children)

Many people volunteered to moderate reddit for the benefit their community. The company screwed over the community and the CEO was compensated $193mil last year Source

Why would anyone stay for free?

[–] MashedTech@lemmy.world 10 points 1 year ago* (last edited 1 year ago) (1 children)

The problem is, those AI companies can do the same thing to lemmy, and much easier anyway. We won't get paid shit for our words.

[–] Hamartiogonic@sopuli.xyz 6 points 1 year ago (3 children)

Maybe it’s time to move away from fact based discussion and more towards stupid puns and satire.

[–] MashedTech@lemmy.world 5 points 1 year ago

UGA UBUGA DHDB UGA BUGA

[–] swordsmanluke@programming.dev 5 points 1 year ago (1 children)

Listen here, you little shit--

OK, so we should all just start prefixing every comment with marker meme text for the bots to learn (and humans to filter out). The bots pick up some truly weird patterns and go insane.

More insidiously, have an LLM rephrase all comments between posting and display. Looks human-enough, should still contain our salient points - and plays merry hell with future training efforts.

[–] Hamartiogonic@sopuli.xyz 2 points 1 year ago

This is the way.

Given that there have been signs of the ML industry running out of quality data, there’s a good chance that development will begin to show down. Nowadays, the data is nearly always contaminated with AI generated trash, which means you shouldn’t use it to train a new model. Eventually, we’ll hit a point where it’s nearly impossible to improve the model because you just can’t find the right kind of data for it.

[–] dai@lemmy.world 2 points 1 year ago

Nah, I'd join random gaming discords over that future.

[–] db2@lemmy.world 50 points 1 year ago (1 children)

60,000? Reddit used to be a hub, I had subs with many times that number of users. You really fucked up, Steve, but at least you're still in your comfort zone with that.

[+] AcesFullOfKings@feddit.uk 41 points 1 year ago* (last edited 1 year ago) (2 children)

[deleted]

[–] KoboldCoterie@pawb.social 13 points 1 year ago (2 children)

But it also refers to “a staggering 73 million daily active users”, which I wouldn’t really say is a staggering number in $current_year when other social networks have orders of magnitude more.

Well, there's definitely no social network with "orders of magnitude more"... Even if that's only 2 orders of magnitude, that's almost the entire population of the world.

So this made me curious and best I can find there seem to be only a few social media platforms that even have 1 order of magnitude more:

Facebook, with 2.1 billion DAU as of Q4 2023
Youtube, which has 2.7 billion monthly active users (I'm speculating that it has at least 730 million DAU based on that number)
WhatsApp (which wikipedia notes has 2 billion MAU and had 1 billion DAU when it had 1.3 billion MAU, so presumably it's around 1.5 billion DAU now)

DAU is a pretty rare statistic to find reported on, so it's hard to say if there are others.

[–] _dev_null@lemmy.zxcvn.xyz 4 points 1 year ago (1 children)

Well, there’s definitely no social network with “orders of magnitude more”

By your numbers (let order of magnitude == oom):

Reddit: 73M

Reddit + 1 oom: 730M

Reddit + 2 oom: 7.3B

Facebook: 2.1B

So 73M to 7.3B is 2 oom greater, and 7.3B is the same oom as 2.1B, thus there is at least one social network orders of magnitude greater than reddit.

Have I got anything wrong here?

[–] KoboldCoterie@pawb.social 8 points 1 year ago

Okay so I'm just going to open myself up to ridicule here; my understanding of comparing numbers using orders of magnitude might be wrong, and if it is, I would like to know that. So on that note, I don't think that's how OOM comparisons work, and I'd be very interested to be corrected if I'm wrong.

You could accurately say that 2.1B has 2 more orders of magnitude than 73M does (7 vs. 9), but I believe when you're directly comparing two numbers and saying that one is "x orders of magnitude larger than y", that doesn't work. You wouldn't say that 10 is an order of magnitude larger than 9... that would be very misleading; 90 is an order of magnitude larger than 9. In fact, that claim would be off by... approximately an order of magnitude.

1 order of magnitude larger than 73M is 730M; 2 orders of magnitude larger is 7.3B, as you note, but... wouldn't you look upward to say a number is in the same order of magnitude, not lower? So since 2.1B is approximately 29x larger than 73M, it would be 1 OOM larger (and only becomes 2 OOM larger at 100x)?

To look at it another way:

73M x 10^1 is a lot closer to the correct value than 73M x 10^2, so even if the correct method is to round to the nearest OOM, it wouldn't beecome 2 OOM larger until 73M x 50, or 3.650B.

Again, it's quite possible that my understanding is incorrect because... this doesn't come up in every day conversation much, so if I'm wrong, please correct me!

[–] lvxferre@mander.xyz 3 points 1 year ago* (last edited 1 year ago)

In the context odds are that Ace is using "orders of magnitude more" simply to convey "multiple times more", or "a fuckload more"

That said I always understood orders of magnitude as log rounded to the units:

log₁₀(73M) = 7.86
log₁₀(2.1B) = 9.32
9.32 - 7.86 = 1.45 ≃ 1

If you're rounding it to a single digit you'd get 1, or one order of magnitude. It isn't too far from being rounded to 2, if Reddit shrinks back to 66M.

[–] db2@lemmy.world 6 points 1 year ago

Don't discount the possibility of it being a shill for their sham ipo.

[–] electromage@lemm.ee 15 points 1 year ago (1 children)

So AI is taking away having to answer the same questions over and over again for lazy people, are we complaining?

[–] stembolts@programming.dev 3 points 1 year ago

To me it brings about the question of, "What is the shelf life of answers?" Like if reddit had existed 100 years ago, how do you go about "cleaning" a model of deprecated information? Or maybe you don't? I know very little about LLMs, just a thought.