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45 points gmays | 1 comments | | HN request time: 0.206s | source
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throwup238 ◴[] No.41916343[source]
> Sarcasm, cultural context and subtle forms of hate speech often slip through the cracks of even the most sophisticated algorithms.

I don't know how this problem can be solved automatically without something that looks a lot like AGI and can monitor the whole internet to learn the evolving cultural context. AI moderation feels like self driving cars all over again: the happy path of detecting and censoring a dick pic - or self driving in perfect California weather - is relatively easy but automating the last 20% or so of content seems impossibly out of reach.

The "subtle forms of hate speech" is especially hard and nebulous, as dog whistles in niche communities change adversarialy to get past moderation. In the most subtle of cases, there are a lot of judgement calls to make. Then each instance of these AGIs would have to be run in and tailored to local jurisdictions and cultures because that is its own can of worms. I just don't see tech replacing humans in this unfortunate role, only augmenting their abilities.

> The glossy veneer of the tech industry conceals a raw, human reality that spans the globe. From the outskirts of Nairobi to the crowded apartments of Manila, from Syrian refugee communities in Lebanon to the immigrant communities in Germany and the call centers of Casablanca, a vast network of unseen workers power our digital world.

This part never really changed. Mechanical turk is almost 20 years old at this point and call center outsourcing is hardly new. What's new is just how much human-generated garbage we force them to sift through on our behalf. I wish there was a way to force these training data and moderation companies to provide proper mental health care .

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1. ben_w ◴[] No.41917936[source]
I get the point, and agree that the opponents are in an adversarial relationship with the AI, but LLMs are already an AI that "can monitor the whole internet to learn the evolving cultural context".

Consider for example that ChatGPT wasn't specifically designed to be good at programming Commodore 64 basic, which is a niche within a niche, but it can do that fine even when instructed in Welsh*, and if it can do that then surely it can spot these things too?

> In the most subtle of cases, there are a lot of judgement calls to make.

I agree; while they know a lot, they know it poorly, and make decisions unwisely.

> I wish there was a way to force these training data and moderation companies to provide proper mental health care .

Good news, there is. An old flame used to work in a call center, ended up unionising the place.

Bad news (from the POV of many here): she's literally a communist — and that's not a metaphor for "Democrats", she thinks the Dems are evil neoliberals.

* I've not actually tried running this, because on a related note, can anyone recommend an emulator that will let me paste in text as if I was typing the content of the pasteboard on the keyboard?

https://chatgpt.com/share/6717ff4e-db08-8011-8f2c-a33fa9653a...