politics
Welcome to the discussion of US Politics!
Rules:
- Post only links to articles, Title must fairly describe link contents. If your title differs from the site’s, it should only be to add context or be more descriptive. Do not post entire articles in the body or in the comments.
Links must be to the original source, not an aggregator like Google Amp, MSN, or Yahoo.
Example:
- Articles must be relevant to politics. Links must be to quality and original content. Articles should be worth reading. Clickbait, stub articles, and rehosted or stolen content are not allowed. Check your source for Reliability and Bias here.
- Be civil, No violations of TOS. It’s OK to say the subject of an article is behaving like a (pejorative, pejorative). It’s NOT OK to say another USER is (pejorative). Strong language is fine, just not directed at other members. Engage in good-faith and with respect! This includes accusing another user of being a bot or paid actor. Trolling is uncivil and is grounds for removal and/or a community ban.
- No memes, trolling, or low-effort comments. Reposts, misinformation, off-topic, trolling, or offensive. Similarly, if you see posts along these lines, do not engage. Report them, block them, and live a happier life than they do. We see too many slapfights that boil down to "Mom! He's bugging me!" and "I'm not touching you!" Going forward, slapfights will result in removed comments and temp bans to cool off.
- Vote based on comment quality, not agreement. This community aims to foster discussion; please reward people for putting effort into articulating their viewpoint, even if you disagree with it.
- No hate speech, slurs, celebrating death, advocating violence, or abusive language. This will result in a ban. Usernames containing racist, or inappropriate slurs will be banned without warning
We ask that the users report any comment or post that violate the rules, to use critical thinking when reading, posting or commenting. Users that post off-topic spam, advocate violence, have multiple comments or posts removed, weaponize reports or violate the code of conduct will be banned.
All posts and comments will be reviewed on a case-by-case basis. This means that some content that violates the rules may be allowed, while other content that does not violate the rules may be removed. The moderators retain the right to remove any content and ban users.
That's all the rules!
Civic Links
• Congressional Awards Program
• Library of Congress Legislative Resources
• U.S. House of Representatives
Partnered Communities:
• News
view the rest of the comments
I'm curious if at this point it would be possible to train an LLM on this type of estimation. But I don't understand Ai really well or if they are even good at predictive work. Im going off of research that involved predicting disease (I think it was diabetes)
Had to run this through ChatGPT and funny enough it sites this article in the first paragraph. It also has no idea about Kennedy dropping out and endorsing Trump.
It would say trump would win 99% of the time because he already wone once
Well... I meant train in on a larger data set going back for republican/Dems a long way back
It would do the same thing
LLMs don't handle booleans, and the 13 keys is an open statement, so the best you could do is train 13 neural networks to determine each of the keys, but you'd need a lot of data for that I suspect we simply don't have.
It'd probably be better to train a neural network to just output probabilities of each candidate winning based on specific information, like polling data.