AI Propaganda Will Be Effective and Easily Accessible
techpolicy.press
techpolicy.press
Bots on social media that can argue with you, share experiences, other forms of astroturfing, etc. Bots that can directly respond to your questions.
The difference IMO will be that previously making interactive propaganda was very difficult and expensive to do in a convincing manor. And also literally anyone can now ask for "a CDC article describing the dangers of [literally anything]" and have an article so convincing even diligent people won't be able to immediately recognize.
Currently unless you know what you're looking for, GPT4 is very convincing. I think even the hn crowd is already seeing bots on hn/reddit/etc and not realizing it.
In 2019, OpenAI said they couldn't fully release GPT-2 because it would be too dangerous. Now anyone can run a more powerful model.
In what ways has the predicted danger manifested in reality?
And it's not just mega-coorperations/nation states, soon everyone will have access to something vastly better then GPT2.
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I've been in the GPT-3 beta, and we have had community trained GPT-2 models for a while as well. Those seriously don't compare to GPT3.5/4.
Those severely underperform compared to even LLaMa+finetuning now, and GPT3.5 is a mile ahead of that, and GPT-4 leaves everything in the dust. Yes we've had it, and yes they're often able to pass the "casual glance turing test", but they suuuuuck in comparison to GPT-3.5.
What I'm trying to say is that propaganda/astroturfing is no longer limited to simply being a post/comment. It can now be an entire chain.
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For example, "I was attacked by [person]'s dog"
You ask "Oh man did you get hurt?",
They respond " Luckily, I didn't get seriously injured, but it was a pretty scary experience. The dog managed to bite me on my left arm, but I was wearing a thick jacket which protected me from any deep punctures. I still got some bruises and scratches, but nothing too severe. I'm just really grateful it didn't escalate further.
I talked to the owner, and they apologized profusely, assuring me that they would be more careful in the future. It turns out that the dog has had some behavioral issues in the past, but they've been working with a trainer to help correct them. "
GPT 2 could never, ever even compare to that. This response IMO would pass as human to 99% of people who weren't specifically looking for it.
Of course, authoritarian regimes will be able to do so as well, which is both a curse (much more reactive censorship) and a blessing (unlikely to understand new euphemisms or coded messages by itself).
In the early days of the internet, it was easy to imagine many positive outcomes for the technology (in addition to the negatives). So far with AI, it seems like the potential negatives are much more salient in people’s imagination.
But the centralized services eventually came back in new forms.
Maybe Personal AI systems will change things up a bit eventually.
I think there is a pretty clear trend of not leveraging "trained"/"built-in" knowledge if you value accuracy, but rather use LLMs as a way to extract meaning and compare to a known-good reference.
One way would be to use LLMs to flag suspicious talking points, compile a list of propaganda topics and their rebuttal, and give that in the context window of LLMs that formulate a response.
For more general fact-checking, I guess one could ask LLMs to extract the various points, run a quick web check on them (maybe we need a "facts" database?), and examine the results. This wouldn't protect against logical fallacies though, I'm not sure that can be avoided short of injecting a proof assistant somehow (or providing rebuttals to known talking points, as suggested above).
There’s a reason that no purveyor of fake download buttons is worth $20B+, which is that the technology is capable of completely different things.
If this results in young people disbelieving everything, which we already see early signs of, then that’s also a loss. Probably a bigger loss than them believing the same wrong things as everyone around them.
(All you have to do is let them snoop on everything you say or do)
You have people of all ages who fall for the oldest tricks in the book and you have people of all ages who know the medium they are using and can see behind the fake.
Just look at all these MLM videos on TikTok and YouTube and their target audience.
How is confidence in institutions going to be helpful? There is nobody above the temptation to abuse this power. The lesson from all "trusted" institutions over recent years should be there are no trusted institutions.
AI is going to lead in societal unexpected consequences. Much of those I've elaborated in more detail here - https://dakara.substack.com/p/ai-and-the-end-to-all-things
https://en.wikipedia.org/wiki/List_of_controversies_involvin...
https://www.allsides.com/news-source/new-york-times
https://www.bariweiss.com/resignation-letter
https://www.theguardian.com/media/2004/may/26/pressandpublis...
All of the "trusted" sources have led us into wars and condoned the actions of bombings across the globe.
I reject that notion in its entirety. It is precisely the reason we are in such a sad state of the world.
I think we have arrived back very close to my original premise. Which is to say that in principle there are no "trusted" sources. As they are all capable of the same fallacies. Furthermore, those that you do trust, will lead you astray more than those you don't. As if you don't use reasonable scrutiny and doubt, then you are more subject to be misled or influenced.
AI will give more power to all in this arena. However, in some aspects, it will also give Steve's Blog the power to appear as professional as NYT in presentation.
However, arguments over the degree of bias or misinformation is not really the point, it is that the power to create it is now increased in the hands of all.
I think that's exactly why history and reputation are going to matter more in the future, not less. And I do agree there are no purley "trusted" choices, it is always a matter of degrees and our assessments are always imperfect.
Though ironically (and I'll give myself away as someone who has not thought too much about these issues) I would imagine the best tool to assess accuracy and trustworthiness in the future could end up being an AI, which means we first need to assess the accuracy and trustworthiness of said AI, which... is enough for me for one day!
In the past, it was difficult to disseminate disinformation since it was often planted in newspapers and such in other nations rather in the US. At some point this information might make it's way into our information ecosystem years later (false narrative that the US created HIV for example). The internet and social media has already changed that. Now disinformation flows instantaneously across borders, even finding unethical organizations which eagerly acts as clearing houses for this toxic content. We still have not successfully adapted to this crisis.
The reality is we have less than a few years to excise the already existing disinformation laundering networks, reinforce our information ecosystems, and educate the public. All this needs to be accomplished before addressing the imminent threat that malign language models pose in the immediate future. This is not only threat from abroad by hostile states but also from powerful self-serving organizations within our nations which might supplant democracy with a domestic brand of authoritarianism.
With people like Peter Thiel and Elon Musk bankrolling OpenAI, it's not looking good.
The counter to propaganda & misinformation/disinformation is context. Is having better stories of who & what stories & the story-tellers are. Ultimately I think we've been ignoring for too long the backstory of who we read on line, and this new era greatly emphasizes how much more we need some kind of trust interrelationship protocol... some kind of web... of trust. ;)