The triumph of hope over experience: The latest on how AI is not solving the local news crisis

Illustration produced by AI using DALL-E

This past weekend I listened to a bracingly entertaining conversation that the public radio program “On the Media” conducted with tech journalist Ed Zitron. Co-host Brooke Gladstone had billed it as a chance for Zitron to make sense out of DeepSeek, the new Chinese artificial-intelligence software that purports to do what ChatGPT and its ilk can do for a fraction of the cost — and, presumably, while using a fraction of the electric power burned by American AI companies.

But it was so much more than that. Maybe you’re familiar with Zitron. I wasn’t. As I learned, he is a caustic skeptic of American AI in general. In fact, he doesn’t even regard the large language models (LLMs) that we’ve come to think of as AI as the real thing, saying they are nothing but an error-prone scam that is attracting fast sums of venture capital but will never make any money. Here’s a taste:

The real damage that DeepSeek’s done is they’ve proven that America doesn’t really want to innovate. America doesn’t compete. There is no AI arms race. There is no real killer app to any of this. ChatGPT has 200 million weekly users. People say that’s a sign of something. Yes, that’s what happens when literally every news outlet, all the time, for two years, has been saying that ChatGPT is the biggest thing without sitting down and saying, “What does this bloody thing do and why does it matter?” “Oh, great. It helps me cheat at my college papers.”

And this:

When you actually look at the products, like OpenAI’s operator, they suck. They’re crap. They don’t work. Even now the media is still like, “Well, theoretically this could work.” They can’t. Large language models are not built for distinct tasks. They don’t do things. They are language models. If you are going to make an agent work, you have to find rules for effectively the real world, which AI has proven itself. I mean real AI, not generative AI that isn’t even autonomous is quite difficult.

As you can tell, Zitron has a Brit’s gift for vitriol, which made the program all the more compelling. Now, I am absolutely no expert in AI, but I was intrigued by Zitron’s assertion that LLMs are not AI, and that real AI is already working well in things like autonomous cars. (Really?) But given that we just can’t keep AI — excuse me, LLMs — from infesting journalism, I regarded Gladstone’s interview with Zitron as a reason to be hopeful. Maybe the robots aren’t going to take over after all.

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Using AI to tell a story about AI

Today at What Works, we have a story by one of our Northeastern graduate students, Ian Dartley, about Inside Arlington, a local news project powered by artificial intelligence. It’s no substitute for the human touch, and in fact the town already has a very good nonprofit news organization, YourArlington. But it’s an interesting experiment, and Ian does a great job of explaining it.

We also decided to have a little fun. The headline and the bullet points used to summarize Ian’s story were written by ChatGPT. So was the social media post we used to promote the story. Here’s how it looks on Threads:

How about ChatGPT finding that dog emoji? Good boy! I thought it was interesting that ChatGPT wrote fairly dull headlines and bullet points but suddenly developed a sense of fun when it came time to write a social media post.

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No, Arlington is not a ‘news desert’ — and the Globe should have done some checking

Photo (cc) 2021 by Dan Kennedy

Among the more venerable local news startups in the Boston area is YourArlington, which has been publishing in one form or another since 2006. Founded by veteran journalist Bob Sprague, the digital-only site in the past couple of years has gone nonprofit, added a governing board, and hired an editor, Judith Pfeffer, who succeeded Sprague when he retired during the summer. YourArlington offers fairly comprehensive coverage of the town and has paid freelancers. (Disclosure: Some of those paid freelancers have been Northeastern students, and I’ve been asked to speak at Sprague’s retirement party in November.)

So imagine my surprise when I read Boston Globe tech reporter Hiawatha Bray’s story about Inside Arlington, a new project that is mainly produced by artificial intelligence: feed in the transcript of a select board meeting and publish what comes out the other side. Mainly I was surprised that Bray let cofounder Winston Chen get away with this whopper: “The town of Arlington, for practical purposes, is a news desert.” Bray offered no pushback, and there’s no mention of YourArlington. (Gannett merged the weekly Arlington Advocate with the Winchester Star about a year and a half ago and eliminated nearly all town-based coverage in favor of regional stories. There’s also a local Patch.)

Bray is properly skeptical, noting that several experiments in AI-generated stories have come to a bad end and that there’s no substitute for having a reporter on site who can ask follow-up questions. Still, there’s no question that AI news reporting is coming. Nieman Lab recently reported on a hyperlocal news organization in California that’s been giving AI a workout, although that organization — so far — has had the good sense not to publish the results.

But it’s disheartening to see the Globe take at face value the claim that Arlington lacks a local news organization. Scanning through YourArlington right now, I see a story about affordable housing that was posted today, a restaurant review, a story and photos from Town Day and a reception for the new town manager. Such coverage is the lifeblood of community journalism, and it can’t be replicated with AI — and I don’t see any of it at Inside Arlington.

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