@OpenAI@sama From the get-go this is just gross. They think they are really in the business of developing/shaping "AGI". And they think they are positioned to decide what "benefits all of humanity".
Then @sama invites the reader to imagine that AGI ("if succesfully created") is literally magic. Also, What does "turbocharging the economy" mean, if there is already abundance? More $$$ for the super rich, has to be.
@sama Also, note the rhetorical sleight of hand there. Paragraph 1 has AGI as a hypothetical ("if successfully created") but by para 2 it already is something that "has potential".
But oh noes -- the magical imagined AGI also has downsides! But it is so so tempting and important to create, that we can't not create it. Note the next rhetorical sleight of hand here. Now AGI is an unpreventable future.
What's in fn1? A massive presupposition failure: The GPTs are learning information about word distributions in lots and lots of text + what word patterns are associated with higher scores (from human raters). That's it.
Then a series of principles for how to ensure that AGI is "beneficial". This includes "governance of AGI" as something that is "widely and fairly shared", but I've seen exactly nothing from @OpenAI about or advocating for building shared governance structures.
@OpenAI Meanwhile, "continuously learn and adapt by deploying less powerful versions of the technology" suggests that they think that the various GPTs are "less powerful versions of AGI".
<recordscratch> hang on: did he just say "maximarlly flourish in the universe"? What kind of weirdo longtermist, space-colonizing fantasy is that coming from?
Similarly here, this seems designed to promote the idea that the models they have already put into their API (GPT-2, GPT-3, ChatGPT) are the early stages of "AGI" being "stewarded into existence".
Then there's a glib paragraph about how "most expert predictions have been wrong so far" ending in footnote 2:
Paraphrasing: "Our experts thought we could do this as a non-profit, but then we realized we wanted MOAR MONEY. Also we thought we should just do everything open source but then we decided nah. Also, can't be bothered to even document the systems or datasets."
Hey @OpenAI, I'm speaking to you from 2018 to say: DOCUMENT YOUR DAMN DATASETS. Also, to everyone else: If you don't know what's in it, don't use it.
@OpenAI Okay, back to @sama. "As our systems get closer to AGI" -- here's a false presupposition again. Your system isn't AGI, it isn't a step towards AGI, and yet you're dropping that in as if the reader is just suppose to nod along.
Oh, and did you all catch that shout out to xrisk? Weirdo longertermist fantasy indeed.
As I said in my thread yesterday, I wish I could just laugh at these people, but unfortunately they are attempting (and I think succeeding) to engage the discussion about regulation of so-called AI systems.
What's needed is regulation about: how data can be collected and used, transparency of datasets, models and the deployment of text/image generation systems, recourse and contestability of any automated decision making, etc.
Talking about text synthesis machines as if they were "AI" muddies the waters and hampers effective discussions about data rights, transparency, protection from automated decision systems, surveillance, and all the rest of the pressing issues.
The problem isn't regulating "AI" or future "AGI". It's protecting individuals from corporate and government overreach using "AI" to cut costs and or deflect accountability.
The contradiction in these next 2 paras is stunning: We think you should be able to do whatever you want with our systems, bc "diversity of ideas" but also we think we can align the systems with "human values". So, assholes can create fake revenge porn, but that's okay because-?
LOLOL -- calling something a "ratio" doesn't make measurable or, ahem, real.
[This is exhausting, but I started it. Might as well finish.]
Wait what -- now they're talking seriously about "late-stage AGI development"?
Here's a bunch of promises about future oversight by unnamed independent auditors and also "major world governments" (who counts as major? who decides?). Also, how about just DOCUMENTING YOUR DAMN DATA for everyone to see?
"Continuum of intelligence" is gross, not least for the suggestions of ableism, eugenics, transhumanism etc. But also "rate of progress [of] the past decade" -?Progress towards what? Ever larger carbon footprints? More plausible fake text?
And, more to the pt: There are harms NOW: to privacy, theft of creative output, harms to our information ecosystems, and harms from the scaled reproduction of biases. An org that cared about "benefitting humanity" wouldn't be developing/disseminating tech that does those things.
No, they don't want to address actual problems in the actual world (which would require ceding power). They want to believe themselves gods who can not only create a "superintelligence" but have the beneficence to do so in a way that is "aligned" with humanity.
/fin
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Blackman uses Microsoft's own AI Principles to clearly explain why BingGPT shouldn't be released into the world. He's right to praise Microsoft's principles and also spot on in his analysis of how the development of BingGPT violates them.
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And, as Blackman argues, this whole episode shows how self-regulation isn't going to suffice. Without regulation providing guardrails, the profit motive incentivizes a race to the bottom --- even in cases of clear risk to longer term reputation (and profit).
The @nytimes, in addition to famously printing lots of transphobic non-sense (see the brilliant call-out at nytletter.com), also decided to print an enormous collection of synthetic (i.e. fake) text today.
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@nytimes Why @nytimes and @kevinroose thought their readers would be interested in reading all that fake text is a mystery to me --- but then again (as noted) this is the name publication that thinks its readers benefit from reading transphobic trash, so ¯\_(ツ)_/¯
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@nytimes@kevinroose Beyond the act of publishing chatbot (here BingGPT) output as if it were worth anyone's time, there are a few other instances of #AIHype in that piece that I'd like to point out.
Hey journalists -- I know your work is extremely hectic and I get it. I understand that you might make plans for something and then have to pivot to an entirely different topic. That's cool.
BUT:
If you ask an expert for their time same day at a specific time, and they say yes, and then you don't reply, even though said expert has made time for you -- that is NOT OK.
Engaging with the media is actually an additional layer of work over everything else that I do (including the work that builds the expertise that you are interviewing me about). I'm willing to do it because I think it's important.
TFW an account with 380k followers tweets out a link to a fucking arXiv paper claiming that "Theory of Mind May Have Spontaneously Emerged in Large Language Models".
That feeling is despair and frustration that researchers at respected institutions would put out such dreck, that it gets so much attention these days, and that so few people seem to be putting any energy into combatting it.
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NB: The author of that arXiv (= NOT peer reviewed) paper is the same asshole behind the computer vision gaydar study from a few years ago.
Started listening to an episode about #ChatGPT on one of my favorite podcasts --- great hosts, usually get great guests and was floored by how awful it was.
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Guest blythely claims that large language models learn language like kids to (and also had really uninformed opinions about child language acquisition) ... and that they end up "understanding" language.
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The guest also asserted that the robots.txt "soft standard" was an effective way to prevent pages from being crawled (as if all crawlers respect that) & that surely something is already available to do the same to block creative content from getting appropriated as training data.
Step 1: Lead off with AI hype. AI is "profound"!! It helps people "unlock their potential"!!
There is some useful tech that meets the description in these paragraphs. But I don't think anything is clarified by calling machine translation or information extraction "AI".
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And then another instance of "standing in awe of scale". The subtext here is it's getting bigger so fast --- look at all of that progress! But progress towards what and measured how?