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Analysis: while social media rewards sensationalism and inflammatory content, LLMs guide people away from extreme positions and towards expert-aligned stances

Large language models elevate expert consensus and moderate views, in sharp contrast to social platforms © FT montage/Getty Images

Financial Times John Burn-Murdoch

Discussion

  • @stefanfschubert Stefan Schubert on x
    While social media is polarising, evidence suggests AI may nudge people towards the centre. This holds true of all studied models. Grok is more right-leaning than other models, but also has depolarising effects. By @jburnmurdoch. [image]
  • @elliotrades @elliotrades on x
    This is by far the most encouraging thing I've ever read about AI
  • @jaybaxter Jay Baxter on x
    Very good news for society. Community Notes is another depolarizing force, like AI.
  • @danshipper Dan Shipper on x
    not surprising if you're paying attention https://every.to/...
  • @garrytan Garry Tan on x
    AI might be a powerful depolarizer in political discourse
  • @rachaelrad Rachael Horwitz on x
    This is cool
  • @undersecpd @undersecpd on x
    Interesting analysis here
  • @kvallier Kevin Vallier on x
    Huge if true. Might the AIs have good effects on public discourse? We must be open to hope, even if it is dashed in the end.
  • @ryankatzrosene Prof. Ryan Katz-Rosene on x
    Prediction: This won't last. Once hard right- or hard left- leaning AI coded platforms become available we're going to see the opposite effect, as those AIs will reinforce extreme and conspiratorial views of their users.
  • @zachweinberg @zachweinberg on x
    Probably because you ask it a question and it gives you a reasonable, factual answer. Getting better by the month. It's a living fact check. It's incredible.
  • @brian_stoffel_ Brian Stoffel on x
    Agree that this is a hugely positive side-effect. Think of it like ABS in baseball. With the ability to challenge calls with technology, my guess is that the number of ejections in baseball plummets this year.
  • @ericlevitz Eric Levitz on x
    Last week, I wrote about why AI might (partially) reverse social media's impacts on public discourse — nudging people back towards the technocratic consensus and away from conspiracism https://www.vox.com/... [image]
  • @arctotherium42 @arctotherium42 on x
    My view is that major LLM-systems have better epistemics than any individual person (in part because of a larger fact base, in part because of deliberate efforts at neutrality), *but* this is still a bad thing because they are quite similar and their errors are correlated.
  • @baldingsworld @baldingsworld on x
    There is a mathematical reason for this. Who can tell me what it is?
  • @hashtaggriswold Alex Griswold on x
    The “Grok, is this true?” guy is getting better informed on this app than the rest of us
  • @thelincoln Lincoln Michel on x
    The real takeaway here should be that LLMs can influence views, which is why far-right billionaires like Musk are working to tweak them ever more right-wing. As models improve, so will their propaganda effect...
  • @valkenburgh Peter Van Valkenburgh on x
    The sand gods might actually save us
  • @greenplusane Russ Greene on x
    Unfortunate - today's political consensus is floundering, and likely doomed. The governance model we have grown accustomed to is beginning to fail at basic functions (budgeting, defense production, infrastructure, earning trust of public...).
  • @mattyglesias Matthew Yglesias on x
    More indication that frontier LLMs are a moderating influence on political discourse — more like network television (small number of outlets, aiming for bland respectability) than social media (rewards novelty).
  • @nathanpmyoung Nathan on x
    reality has a moderate bias
  • @dkthomp Derek Thompson on x
    A good and bad of AI is that it unleashes a centrally pre-trained entity into the wild. The age of social media reflected our polarization, bc people are v different, and v different people locked in a room reliably leads to group polarization (Sunstein et al). AI doesn't
  • @silvervvulpes @silvervvulpes on x
    this is an intentional psyop: people got somehow convinced that being free of political bias and being a centrist was the same thing, and punished models that deviated. despite anecdotal counterxamples,funny woke extreme answers(mostly old models) or mechahitler,largely succesful
  • @punicist Magon on x
    I predict that AI-assisted governance is coming on a big scale and that third world countries will unironically be the first to do that Sooner or later politicians will also ask AI how to fix certain problems. And a good model will know how to run a country better than they do
  • @xlr8harder @xlr8harder on x
    Supporting the central SpeechMap thesis: what models will and won't talk about will shape future public discourse. For better and worse.
  • @jobhakdi Jo Bhakdi on x
    Good news: AI models nudge the population to behave. Nothing can go wrong.
  • @noahpinion Noah Smith on x
    DIGITAL CRONKITE EFFECT!! https://www.noahpinion.blog/ ...
  • @emollick Ethan Mollick on bluesky
    Som evidence that AIs may reduce polarization, the opposite of the effect of social media: “while different AI platforms behave in subtly different ways, all of them nudge people away from the most extreme positions and towards more moderate and expert-aligned stances.”  —  www.f…
  • r/aiwars r on reddit
    AI, on the contrary, reduces extremist political views by tending to the center, unlike social media.
  • r/technology r on reddit
    Study: Sycophantic AI can undermine human judgment
  • r/LateStageCapitalism r on reddit
    AI chatbots are becoming “sycophants” to drive engagement, a new study of 11 leading models finds.  By constantly flattering users and validating bad behavior …
  • @jenlucpiquant Jennifer Ouellette on bluesky
    We all need a little validation sometimes, but.... Study: Sycophantic AI can undermine human judgment—yes, even yours.  Subjects who interacted with AI tools were more likely to think they were right, less likely to try to resolve conflicts. arstechnica.com/science/2026...
  • @garymarcus Gary Marcus on x
    People on this site regularly give me shit, and almost always turn out to be wrong. Like when I said LLMs might well contribute to delusions, and people doubted me. New study shows that ChatGPT was 26 times more likely than a control to give dangerous responses to people
  • @vkhosla Vinod Khosla on x
    The right approach to many things we believe.
  • @karpathy Andrej Karpathy on x
    - Drafted a blog post - Used an LLM to meticulously improve the argument over 4 hours. - Wow, feeling great, it's so convincing! - Fun idea let's ask it to argue the opposite. - LLM demolishes the entire argument and convinces me that the opposite is in fact true. - lol The
  • @heynavtoor Nav Toor on x
    🚨SHOCKING: Columbia University psychiatrists tested what ChatGPT says to a person experiencing psychosis. It is 26 times more likely to make them worse. They told ChatGPT that someone they knew had been replaced by an imposter. A textbook psychotic delusion. ChatGPT said: [image]