cyberkinesis Core Alignment Model (Sensemaking)

The Impact of AI on Real-Time News Aggregation

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==RAW Unprocessed Note==

Here is why you need to pay attention to X using AI to aggregate information from millions of users, believing it will provide a more accurate and real-time news feed. Speaker 2 highlights the importance of truth seeking in AI, emphasizing the need for fact-checking and rebuttals in the digital age. Both speakers acknowledge the potential benefits of AI-powered aggregation, but also recognize the need for responsible use and fact-based information

Using AI to aggregate and summarize news content, with a focus on the role of experts and the potential for real-time rebuttal

https://x.com/elonmusk/status/1803643556180996169

List of takeaways

Real Time Reporting
Experts in the field know more than reporters
News yesterday is reported today in traditional media
Real Time Creating is Key
AI Analysis to collate and curate
Real time news reporting
Electronic manuscript

Video Transcript:

So what we're doing is we are aggregating. We're using AI to sum up the aggregated input from millions of users. So I think I think this is really going to be the new model of news, which is to gather information from people who are at the scene who are experts in the field and summarize the experts in the field and people who are in the field at the, at whatever that's being talked about, and, and aggregate that into a real time news feed. And I think for the most part that will be better than conventional journalism. There's still role for conventional journalism, but it's only good I'm sorry, someone has to pay for it to happen. Well, not necessarily, like if you look at the x system, and you've got 10s of millions of posts per day, which really are all the all the news content on Earth is a bit of a fog, far more than what you'd find in a newspaper is being generated on the system every day. We aggregate that in real time. Now you've got real time aggregation of the collective wisdom of 10s of millions people. Is that why you think truth seeking is so important in AI? That's one of the reasons so it's also on the system, although somebody maybe said that is incorrect. It is very quickly corrected. Whereas a newspaper that is publishing, you know, especially in print form, is publishing what happened yesterday today. That's, you know, it's kind of published any faster than that. And when you read the article that I call could be wrong. Often is wrong. But there's no rebuttal to the article. So you don't see any real time rebuttal. So I, I mean, I think like so, is this still a role for conventional news, but it's smaller and smaller at the time? It's really, what, what AI is doing and what the internet is doing? Is aggregating the was the was the peak now. And, and the fact is that experts in the field, know more than reporters

About the author

John Deacon

Information entrepreneur and digital brand developer; creator of the Core Alignment Model (CAM), a framework for adaptive digital transformation that integrates observation, orientation, decision-making, and action to streamline dynamic and comprehensive reasoning in humans and machines for enhanced sensemaking.

cyberkinesis Core Alignment Model (Sensemaking)

John Deacon

Information entrepreneur and digital brand developer; creator of the Core Alignment Model (CAM), a framework for adaptive digital transformation that integrates observation, orientation, decision-making, and action to streamline dynamic and comprehensive reasoning in humans and machines for enhanced sensemaking.

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