I think this is an amazing idea! The only flaw I see with it is that without the sensationalized headlines I read through going "Oh that doesn't matter, that doesn't matter either" etc haha I haven't found an article that sounds interesting in a few scrolls. I mean, it's great because it's accurate. Half of the "news" we're fed is sensationalized so we'll click on it and it's really nothing but it gets us riled up ab…
I think the issue here is that we've been fed a high-sensationalism diet, so our brains are acclimated to in-your-face headlines. Perhaps if we detoxed our brains a bit (by using this app exclusively for a week or two), we would be able to recalibrate our expectations for what seems "interesting". This is sort of like how you recalibrate your tongue to a low-salt diet if you stop eating salty food for a few weeks.
Show HN: Boring Report, a news app that uses AI to desensationalize the news
201–210 of 348 posts
Re: Show HN: Boring Report, a news app that uses AI to desensationalize the news
#202Re: Show HN: Boring Report, a news app that uses AI to desensationalize the news
#203Earlier quoted context omitted.
This will be a combination of numerous fine-tuned models, def not using a default LLM. A bold statement but one I believe is correct. Even Elon Musk, the richest man on the planet, believes this. Guess we'll see, my main priority is ensuring it's accurate and as unbiased as possible. It must work on every news site, both left and right wing.
I don’t think it’s a given that finetuning address pretraining bias, most LLMs you would have access to are trained on very similar and biased corpora, see any Anthropic or OpenAI alignment paper. It’s conceptually possible for extensive finetuning + MoE to work accurately enough for this premise to be feasible but it seems incredibly unlikely with what’s available today. In any case, using a non-explainable AI model…
In a perfect world I’d also incorporate a database of scraped tweets and one day video dialog.
Idk about you, but I’d love to see the most racist tweets from a NYT or WSJ journalist, along with the articles they’ve written, a score associated with their content, etc.
Re: Show HN: Boring Report, a news app that uses AI to desensationalize the news
#204Earlier quoted context omitted.
I've come around to there being legitimate usecases for this type of generative AI, but I don't think producing anything that's supposed to be "True" or "Correct" is one. I think the only useful usecases is for when you want to generate fiction.
Writing summaries of documents and correspondence is one of the major use cases of those models. Desensitionalization and debullshittification are very similar to summarization, so it stands to reason LLMs should handle these tasks just as well.
Re: Show HN: Boring Report, a news app that uses AI to desensationalize the news
#205Earlier quoted context omitted.
Isn’t coming to a news story from these specific political viewpoints already a whole lot of bias? I don’t think we can boil down most things into three separate POV. Not everything needs to be looked at through a political party’s perspective
They actually use a 5-dimension political spectrum. Left-right is not specific to any political party, dates back 200+ years and is extensively used in academic and nonacademic literature. What other system would you recommend for evaluating political bias in news?
You could have left it here.
Re: Show HN: Boring Report, a news app that uses AI to desensationalize the news
#206Re: Show HN: Boring Report, a news app that uses AI to desensationalize the news
#207JPMorgan Chase CEO Jamie Dimon testified before a Senate Banking, Housing, and Urban Affairs hearing on September 22, 2022. Dimon mentioned that as the U.S. nears a potential default on its sovereign debt, markets could experience panic. ... [1] He said that today, but in an interview with Bloomberg. The source article[2] just illustrates it with an archive photo from 2022, when he testified in a Senate hearing. Simi…
I've come around to there being legitimate usecases for this type of generative AI, but I don't think producing anything that's supposed to be "True" or "Correct" is one. I think the only useful usecases is for when you want to generate fiction.
Re: Show HN: Boring Report, a news app that uses AI to desensationalize the news
#208Question for the engineers working on this: Does this just summarize one article or at a time or cross reference multiple different sources for the same event?
Re: Show HN: Boring Report, a news app that uses AI to desensationalize the news
#209Earlier quoted context omitted.
I don’t think it’s a given that finetuning address pretraining bias, most LLMs you would have access to are trained on very similar and biased corpora, see any Anthropic or OpenAI alignment paper. It’s conceptually possible for extensive finetuning + MoE to work accurately enough for this premise to be feasible but it seems incredibly unlikely with what’s available today. In any case, using a non-explainable AI model…
I’m thinking a multi model approach from classification of a “bias” to the rewriting. In a perfect world I’d also incorporate a database of scraped tweets and one day video dialog. Idk about you, but I’d love to see the most racist tweets from a NYT or WSJ journalist, along with the articles they’ve written, a score associated with their content, etc.
I absolutely do not want to live in a world where I (or anyone) am worried that everything said will be publicly assigned an arbitrary “racist” score by a black box. I think most people would agree.
Re: Show HN: Boring Report, a news app that uses AI to desensationalize the news
#210There's already - https://www.allsides.com/unbiased-balanced-news It's shows left, center, and right bias of new articles. Read the 'From the center' version of articles, and the bias and sensationalism has been removed - https://www.allsides.com/story/media-industry-cnn-staffers-c...