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Hacks/Hackers · Jul 1, 2026

Next week: AI Real Talk with Pangram CEO; plus new AI x Investigative Forum @ The New York Times

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Burt Herman · Hacks/Hackers

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Register for our July 9 AI Real Talk on spotting AI slop with Pangram's CEO, plus AI x Investigative Journalism Forum at The New York Times, our latest AI Papers Explained, links and jobs

Next week: AI Real Talk with Pangram CEO; plus new AI x Investigative Forum @ The New York Times

AI x Investigative Journalism Forum at The New York Times, Sept. 25

Registration is open for a full day on how AI is changing investigative journalism, from document analysis to pattern detection to verification. Expect case studies and hands-on skill-building with investigative reporters, data journalists, editors and engineers, plus sessions from The Times' own AI newsroom team on how they're building and using tools. If you're interested in presenting or sponsoring, reply to this email.


AI Real Talk: Spotting AI slop with Pangram's CEO

Join us Thursday, July 9 online for the latest installment of our AI Real Talk series. Pangram's work was among the first to publicly show the novel "Shy Girl" was largely AI-written. The company is now tracking machine-generated text on news sites that's reaching nearly 10 percent of all articles. CEO Max Spero, the self-described "slop janitor," will walk us through how detection works and why it matters, and we'll have plenty of time for questions.


Register for our LA visual journalism forum

AI x Visual Journalism Forum with Arizona State University, Los Angeles, August 25-26

Registration is open for our AI x Visual Journalism Forum in Los Angeles, Aug. 25-26, produced with Arizona State University's Narrative and Emerging Media program. It brings together visual journalists, technologists, artists and ethics experts for hands-on sessions on how AI is reshaping visual storytelling. If you're interested in presenting or sponsoring, reply to this email.


Proof beats prose

Our latest AI Papers Explained post breaks down a study where researchers gave AI the same data that newsrooms used for stories and asked the LLM to write its own versions. Blind readers preferred the machine's versions over the human originals by about three to one, and the widest gap was transparency: whether the story showed where the numbers came from. Read past the "AI beat humans" headline and the real lesson is about the sourcing.

Proof beats prose, AI Papers Explained

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