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Pangram’s Max Spero on why AI detection is harder than ‘Real or Fake’ | Equity Podcast

The internet has a trust problem, and it’s not just because social media feeds are filling up with AI slop. AI-generated text and images are now making their way into job applications, product reviews, and even insurance claims, leaving platforms and users alike scrambling to figure out what’s real. A handful of startups have cropped…

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The internet has a trust problem, and it’s not just because social media feeds are filling up with AI slop. AI-generated text and images are now making their way into job applications, product reviews, and even insurance claims, leaving platforms and users alike scrambling to figure out what’s real.

A handful of startups have cropped up in the past couple of years to become the “trust layer” the internet needs — including Pangram. The startup recently snapped up $9 million for its AI detection system and landed a partnership with Substack, which is now using Pangram’s tech to show readers which of their favorite authors use AI to write their newsletters. Pangram also recently dropped a new AI image detection tool.

On this episode of TechCrunch’s Equity podcast, Pangram co-founder and CEO Max Spero joins Rebecca Bellan to dig into the promise of AI detection tools and where to draw the line between AI assisted and AI generated.

Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.

Chapters:

00:00 Intro

1:15 Building Pangram: from binary detector to gauging AI assistance

2:06 Why job applications, reviews, and Amazon are drowning in slop

5:39 How Pangram actually spots AI writing

9:26 Where people draw the line on AI-assisted vs. AI-generated

12:50 The false positive problem, and “America has a Pangram problem”

14:30 Detecting fake images, now that AI photos are scarily good

19:13 Competing with GPTZero, Winston, and building “core infrastructure”

21:43 Will good writing jobs actually come back?

23:36 Outro

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1 Comment

1 Comment

  1. @OneKhanAlhamdulillah

    September 3, 2026 at 3:32 pm

    No you can’t just wait for next 6 months when their reversed engineered guess machine no longer works because LLM will soon give very diverse out.

    Nor will their model will ever work on someone local model who keeps changing his weight and datasets

    Reply

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