This sounds like it can be a really good thing. In an ideal world it’s a perfect use of LLMs. It helps make the ballot more approachable to people, and it can encourage more people to vote or help people vote less blindly.
At the same time, it also relies on these tools being unbiased adjudicators. And over time I think there’s a greater risk of this straying from the truth.
In the future, maybe we won't need election analyses to predict political victories, we can just ask all of the major brand of AIs who a voter should choose and then multiply by the market share of each AI, dohohoho.
Nonsense. There's no "using your own brains" in voting in the midterms. You get no information about the vast majority of the candidates, you're just expected to vote as the party tells you to, and the rest of the information you get is from PR firms in proportion to the millions spent to market to you and distort all the information that you could possibly find.
Even if you work your hardest and get a reasonable overview, you've dedicated far more of your time to this than anyone could be expected to (a sign of the leisure and access you have as a privileged middle-class person), and the vote will be necessarily decided by the vast majority who didn't.
People using LLMs for the midterms will be the best informed voters we've had in a long time, even if they use Grok (which will desperately try to lie to them, and won't be the only one.) They should also use LLMs to help them with strategies to get to an actual voting booth, because the parties like to sabotage voting in places they feel they'll be weak.
You seem to think everybody (but you) is a dummy and will just do what the LLM says to do, but were totally comfortable for them just doing what the party says to do. I might use an LLM myself to figure out what's going on with judges, if I can find one with access to the proper databases.
In fact, if you want to do good for the world, get access to good databases with good search engines, hook deepseek up to them, and open it to the public. People need to find out how judges decide, and if there are any complaints against them, etc.
And maybe, just maybe, it will pull some of these dinosaurs out of the stone age and force them to put up a website with their views (crazy I'm saying this in 2026, it should have been table stakes decades ago). Local races are incredibly difficult to find information on. Your best bet is one of those "voter guides" that a local newspaper might put out and even those aren't great. Using an LLM to scour the internet to make a better-informed decision seems like a huge win over what most people do today.
Yeah, we're cooked chat, as they say
to me it's more alarming not just the cesspool that these are trained on, but subtle bias that can be added by people in charge or their friends... how naive to expect this won't happen
As always, AI can be used to completely outsource critical thinking, and doing so for elections is extremely concerning. However I would hope that more people use it to make better, more informed decisions, than to blindly choose candidates
(Yes, this is a potential Torment Nexus.)
> “The choice is yours: to go or wait.”
> “And it is also said,” answered Frodo: “Go not to the Elves for counsel, for they will say both no and yes.”
> “Is it indeed?” laughed Gildor. “Elves seldom give unguarded advice, for advice is a dangerous gift, even from the wise to the wise, and all courses may run ill.”
Everybody should use ChatGPT to help them decide how to vote in the midterms. They should ask for specific references to platforms and tweets, with links that they can follow.
Could the information you get be horribly distorted? Yes. But no more than the information you're receiving from every other source - and with LLMs you can drill down until it runs out of alignment. The TV doesn't take questions.
A spin on that I used for my local elections last year: My prompt stated the issues that were important to me and why. I then copied in any election guide I could find from newspapers, blogs, newsletters, endorsements, etc.
Then I asked for 1) which best fits my priorities, and 2) risks for each (eg "says they will support homelessness programs, has no direct experience in an elected position")
who's going to cross check it? and even if everyone did, who's going to ensure that everything everything is mentioned, things can fact check just fine with some strategic omissions.
So yes, it's very very different.
Maybe these LLM companies should also disclose in every chat window on what political spending they have already done:
Still it seems that this is currently not the case [0] (yet).
I guess the risk atm is rather some crazy billionaires embedding their believes in post training and system prompts. But honestly I rather fear tiktok in this regard.
[0] https://misinforeview.hks.harvard.edu/article/llms-grooming-...
(xAI may be the exception here.)
A "vocal bunch"? They never depart from the party line.
How has that changed how anyone interacts with AI?
The stakes are too high for it to not be weaponized, the only question is who will control it.
Blindly trusting a model that's easy to manipulate is not a good thing
The current system isn't perfect by any means, but at least there's a wide variety of source and experience. Diversity can provide a buffer against viral problems, be it literal living viruses or information.
Funneling information through a handful of sources is akin to Sinclair Broadcast Group buying up rural news stations. Awful for democracy and diversity. Can put us a single virus away from destruction.
yawpitch•3h ago
Yet.
andsoitis•2h ago
To be objective, you should test across ChatGPT, Claude, Gemini, and Grok, to see how fair they each are.
tencentshill•2h ago
exe34•1h ago
smithcoin•34m ago
mossTechnician•1h ago