this post was submitted on 16 Jul 2023
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This magazine is dedicated to discussions on the latest developments, trends, and innovations in the world of technology. Whether you are a tech enthusiast, a developer, or simply curious about the latest gadgets and software, this is the place for you. Here you can share your knowledge, ask questions, and engage in discussions on topics such as artificial intelligence, robotics, cloud computing, cybersecurity, and more. From the impact of technology on society to the ethical considerations of new technologies, this category covers a wide range of topics related to technology. Join the conversation and let's explore the ever-evolving world of technology together!

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For the last few months our team has been working on an entirely automated AI-powered news site. I am excited to announce that v1.0 is finally being released. This version includes full coverage with every article generated from 2 left leaning, 2 right leaning, and 2 neutral sources. We have also added an anonymous commenting system for people to share their opinions freely. Our servers are now running 24/7 so that new articles appear as they happen! Let me know what you guys think, as well as any comments/concerns/questions you have!

Here's the link: https://www.neuraltimes.org/

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[–] MJBrune@beehaw.org 5 points 1 year ago (2 children)

I looked at 5 articles 3 were essentially just trash articles that made up facts. I'm not going to say which because then it only encourages spot fixing of the system by deleting those 3 embarrassing articles that read like shit and make up things from thin air. Work on your site. I remember a Reddit boy that trimmed out 60% to 80% of the words in an article. Maybe make a news site like that first with reputable sources then try to add bipartisanship.

[–] C4RP3_N0CT3M@kbin.social 1 points 1 year ago* (last edited 1 year ago) (1 children)

Pretty convenient for you to leave out the stories lol.

[–] xgranade@lemmy.blahaj.zone 1 points 1 year ago

Finding "AI" inaccuracies is the least surprising thing in the world. Given how LLMs work and their extremely well-documented failures to produce accurate information, the burden of proof lies squarely on "AI" vendors to show the accuracy of their products. To say that they have thus far failed to do so is... generous.

None of this snake oil should be touching news.