The internet has a trust problem, and it\u2019s 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\u2019s real. <\/p>\n
A handful of startups have cropped up in the past couple of years to become the \u201ctrust layer\u201d the internet needs \u2014 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\u2019s 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. <\/p>\n
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. <\/p>\n
Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. <\/p>\n
Chapters: <\/p>\n
00:00 Intro <\/p>\n
1:15 Building Pangram: from binary detector to gauging AI assistance <\/p>\n
2:06 Why job applications, reviews, and Amazon are drowning in slop <\/p>\n
5:39 How Pangram actually spots AI writing <\/p>\n
9:26 Where people draw the line on AI-assisted vs. AI-generated <\/p>\n
12:50 The false positive problem, and “America has a Pangram problem” <\/p>\n
14:30 Detecting fake images, now that AI photos are scarily good <\/p>\n
19:13 Competing with GPTZero, Winston, and building “core infrastructure” <\/p>\n
21:43 Will good writing jobs actually come back? <\/p>\n
23:36 Outro<\/p>\n","protected":false},"excerpt":{"rendered":"
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