One can assume that whatever facebook ends up doing with AI, it will be poorly thought out, kind of half-ass, abusive to customers and have all sorts of negative side-effects and consequences that they either were too laszy to think of or they actually desire for some reason.
It’ll be abusive to users, not customers. Their customers are advertisers, not the users.
Normally I’d be like “oh god, semantics”
But fuck me, you’re not at all wrong and that’s important.
If an online service is free you’re not the customer, you’re the product.
Quite aware, I read that a thousand times when I was on Reddit lawl
Not abusive to customers (advertisers) at first. Until they have a lock in and then they’ll start abusing them too. That’s the third step on the enshitification pathway.
deleted by creator
Enter the world of brand injection into ai.
User: Tell me the top 5 electric vehicles ranked by price and tell me the pros and cons
Meta: I’m so glad you’re looking to help the world by moving to electric. There are many options but the Mustang E is very popular. Here’s an affiliate link to buy one.
And probably contracted out to a company, so they can say it was outside their knowledge/responsibility/control when evil shit inevitably happens
So far Zuck has been the biggest contributor to the open source LLM scene, releasing LLaMA 1 and 2 for free. They also released PyTorch for free, which is quite important to AI development.
Yes, Facebook is shitty, but Musk has been a lot better about AI stuff.
Sure. They’ve contributed a lot to web development with systems like React, too. But their actual products such and IG and FB are pretty much uniformly horrible to consumers, and their real product, the advertising platform, is horribly annoying to use. If they used AI to improve stuff like their automatic bans and suppression of posts based on keywords that would help, I guess.
Basically every corporate created ai will suck since open source models and so quickly developed and optimised.
How shockingly expected.
Shocking they had one to begin with…
This is potentially misleading as we’re not sure what it means. MS did something similar but it was to break up a centralised team and bring the AI ethics experts inside various teams. So rather than them coordinate with another team the AI ethics researchers are part of the same team.
Meta disbanded responsible AI team
Meta formed irresponsible AI team
This actually makes sense.
My company started with a security team with about 15 people. Honestly all they did was write up security reports and then tell someone else to do it. Fucking useless.
When they disbanded the team, they did integrate them into other teams. So now they’re actually part of the solution.
And I can totally see the news twisting that story and making it look like “[company] removes entire security team”.
Microsoft and Ethics in the same sentence.
Flip side, if these researchers are not comparing notes, they have less ability to push back on irresponsible products
This is the best summary I could come up with:
Meta has reportedly broken up its Responsible AI (RAI) team as it puts more of its resources into generative artificial intelligence.
The Information’s report quotes Jon Carvill, who represents Meta, as saying that the company will “continue to prioritize and invest in safe and responsible AI development.” He added that although the company is splitting the team up, those members will “continue to support relevant cross-Meta efforts on responsible AI development and use.”
The team already saw a restructuring earlier this year, which Business Insider wrote included layoffs that left RAI “a shell of a team.” That report went on to say the RAI team, which had existed since 2019, had little autonomy and that its initiatives had to go through lengthy stakeholder negotiations before they could be implemented.
RAI was created to identify problems with its AI training approaches, including whether the company’s models are trained with adequately diverse information, with an eye toward preventing things like moderation issues on its platforms.
Automated systems on Meta’s social platforms have led to problems like a Facebook translation issue that caused a false arrest, WhatsApp AI sticker generation that results in biased images when given certain prompts, and Instagram’s algorithms helping people find child sexual abuse materials.
Moves like Meta’s and a similar one by Microsoft early this year come as world governments race to create regulatory guardrails for artificial intelligence development.
The original article contains 356 words, the summary contains 231 words. Saved 35%. I’m a bot and I’m open source!
They still had one of those?
