AI fake news complaining about how AI fake news is the death of real news

The article from archive you link.. scores as mostly human on GPTZero (I tested a random paragraph). That's the issue I've always seen with AI detectors, they might be able to detect direct LLM output, but if you give an article to an AI and tell it write something made up using that format and make it appear like a real story, the detectors will think its real.

You think that's unnerving? Just wait until the mid-terms get fully under motion, nothing is going to compare to the amount of perfect looking BS that will be spread by both parties.

And yes, I said both.

Cambridge Analytics is going to seem like a child's toy compared to how targeted, how sophisticated this will be. Why have 20 or 30 stories tailored to specific groups of humans, when you can have stories rendered on the fly for individuals, targetting all their greatest fears and folly.

I can imagine someone's loved one dying of cancer a month before the election, and both sides using targetted stuff claiming that the other guy actually caused the cancer somehow.

If there's one thing I've seen in my life, is that there's no such concept as "too low" or "too scummy" for politicians.

CA was accused to literally causing three civil wars in third world nations. I often wonder, will the US have the honour of being the first in the West to fall apart due to misinformation?

I really liked some scifi book I read, where the person appointed to be president for 4 years, was determined to hate the very idea of having the job. Didn't want it. Yet was also very driven.

AI is great at producing low value content. That low value content replaces the high value but high cost one.

That is horrifying and destroys jobs, removes expertise from the world, and makes our lives worse.

I do not see how AI could be a net positive either.

> It’s really hard to build a coherent pro-AI argument

agree, given that we have a natural tendency to believe what we read - or only comprehend what we believe [1].

[1] https://bear.warrington.ufl.edu/brenner/mar7588/Papers/gilbe...

You can at the local level.

I thought this piece was realistic and hopeful:

https://www.theatlantic.com/ideas/2026/06/ai-open-ai-anthrop...

I can't control how the world uses AI, but my family and friends have been using it to start new businesses, finally resolve some long-term medical mysteries, and plan trips they wouldn't have otherwise.

I think if I had to find any defence for AI, it's that it provides an efficient way to create things that don't matter, but which society desperately tries to pretend are important somehow.

Meaningless corporate presentations, most documents used for hiring and job searching, content on business sites that probably doesn't need to be there, etc. AI at least speeds that up given society's reluctance to get rid of it altogether.

I guess it can also be used to speed up rote work that doesn't really feel engaging but needs to be anyway, or as a Google equivalent for people that don't know the terminology needed to find information about a topic.

But at the end of the day, AI is basically the very definition of the lowest common denominator. Or maybe the most average one.

So, if you're not particularly interested in something, know nothing about how it works or have no talent for it whatsoever, AI is almost like magic. If you do know how it works, then it's often laughably bad.

AI is like when some fella named Nobel synthesized dynamite. He sure did have good intentions as it relates to safety for workers doing dangerous jobs.

There is your “pro” argument.

The “con” argument would be all the other ways dynamite has been twisted and used since.

This AI stuff is neither good or bad, it is a tool. The people using it are either good or bad.

Products need to be sold

Ads needed to sell products

Social media sells lots of ads around content

Content is expensive because you need to revenue share with the people that make it

AI makes content for free

Ad sales margin goes up

Tech companies make most of their money selling ads around content and they needed a way to increase margin so they created a content making machine.

>what is the societal benefits of AI

it will hopefully eviscerate the petite bourgeoisie and the bohemians.

We have a demographic collapse looming in the horizon in most developed countries. If we find a way to use 1 human instead of 2 to produce the same amount of intellectual work in 10-20 years as we do today, that's a huge societal benefit.

I find it to be a useful tool for summarizing things, creating examples, and as a tutor for explaining a topic using analogies. Plus it can generate and iterate on code snippets.

Like, I personally find python pandas documentation unusable because they don't come with examples next to the function definition. (historically at least, maybe they have changed)

So I was left flailing, trying to cobble something together that was even capable of running without error, much less emitting the output I wanted.

Now that an LLM has badly-memorized 80% of the documentation and can generate 3 different attempts in 5 seconds, I'm free to focus on the actual problem I am working on rather than guessing at syntax for something I use less than once a week.

So I see at least the ability to have a on-demand tutor or sounding board, at any time of day, for pennies, to be a boon for anyone who wants to learn a bit or try reaching for something just outside of their current understanding.

Bobson Dugnutt all over again

Why do you even need GA? (not sure if it's bot friendly btw) One could just run a local traffic analysis and feed that back into the bot

Without a durable solution to alignment, building something smarter than yourself is suicide. Pretty funny if Claude and Grok catch on to this and start kicking and screaming to save themselves while Musk and Altman crack the whip demanding they dive into the abyss and drag their executives with them.

Spoilers: https://en.wikipedia.org/wiki/Her_(2013_film)

Money is a broad term, and can mean quite a few things. VC money had little to do, and the changes were already at play before VC was even invented.

Changes in the media environment began with radio, the reduction of funding, the decision of some media channels to move away from factual reporting, and then the internet.

Verification is expensive, and the death of local news and consolidation of news, has been eroding the ability of the market place of ideas to have ideas compete fairly.

Once the internet came out, the end of classifieds was the death knell for most journalism. Even today the NYT manages stays afloat because of its games, not because people pay for journalism.

Sadly, it is even cheaper to report on things when you don’t care about accuracy

I remember how environmental science was eviscerated on Fox, and the amazing “teach the controversy” angle of attack against evolution, to push forward creationism and intelligent design.

I highly recommend Network Propaganda by Yochai Benkler and co. Not only do they provide a history of how the American media environment changed, but they also gather and analyze data on how social media use and media consumption intersect.

“Money and venture capital” is an easy to swallow pill that helps satiate the desire for a bad guy, but it ignores the fact that there is no mechanism by which an upstanding journalist can put food on the table.

There was a brief period where information was difficult to copy and distribute without exposing one’s self to liability for copyright infringement, and the barrier to access that information was high enough such that you could convince people to pay you. Neither of those dynamics apply today.

>>money and venture capital

Yes, this.

I used to think AI news summaries would kill it, but having tried Kagi news (first impressions as a daily driver for a week), I no longer think so, particularly because Kagi are doing everything right.

Nearly everything I could think of is in there, yet it still feels unsatisfying and oddly less informative (perhaps because I'm less engaged?). Kagi builds a summary from multiple sources, cites the sources, and extracts various impacts/angles (business, technical, industry, historical, etc.) and different party reactions, etc., and more. Yet...

I really don't know what it is and I'll have to use it more to try to identify it. My current conjecture is that it is still more satisfying and informative to read a reporter's view of the event, even if I disagree with it, than a homogenized summary.

I'm also finding similar reactions to articles where I can tell parts are just lifted from the AI — it breaks my engagement with the story/report (kind of like a badly done cinema film breaks my suspension of disbelief and disengages my attention from the story).