Summary
Written by a model from the transcript; not yet reviewed.
This episode explores the intersection of modern data surveillance and romance through a satirical singles event in New York called Singles Dating Matching Using Palantir Data. Organized by tech veteran James Steinberg, the event used data enrichment, facial recognition, and cybersecurity techniques to build dossiers on attendees, mirroring the anxieties surrounding Palantir, a company known for software that helps military and law enforcement agencies like ICE track individuals. Journalist Mike Steinberger explains that while Palantir does not own or buy data, its software provides a powerful technological backbone that integrates disparate datasets, allowing agencies to locate people in minutes. Ultimately, the evening raises questions about personal privacy and digital footprints while unexpectedly resulting in a few real-world dating matches.
- Palantir does not own, buy, or sell data; rather, it provides software that helps organizations organize and utilize their own information. 7:32
- Government agencies like ICE have increasingly accessed multiple desiloed datasets, using data enrichment tools to track millions of people. 23:16
- Walking around in public creates a digital footprint through photos and facial recognition that can construct surprisingly detailed public records. 17:29
Chapters
- 0:00Sponsor Intro: HubSpot CRM
The episode opens with a HubSpot sponsorship message about a self‑updating CRM.
- 1:18Attendee Reactions and Data Privacy Concerns
Participants discuss their expectations and fears about data exposure at the event.
- 5:32James Steinberg’s Palantir‑Inspired Methodology
Organizer James explains how he used Palantir‑style data enrichment to create dating profiles.
- 13:21Live Dating Match Segment Begins
The event hosts call up potential couples and display their data‑driven profiles on stage.
- 14:35Facial Recognition Misidentification Incident
A facial recognition error leads to a confrontation with attendee Jeannie.
- 23:04Discussion of Palantir’s Role in Government Surveillance
The hosts and Mike Steinberger explain how Palantir’s software powers agencies like ICE.
- 27:32Palantir Dating Event Outcomes and Matchmaking Results
The episode reports on the number of matches made and follow‑up plans with attendees.
Highlights
- 0:22
Palantir Themed Dating Eventstory
An Instagram ad promoted a singles night using Palantir data, promising attendees a chance to find love through the same technology rumored to have tracked down Osama bin Laden.
- 5:32
Comedic Tech Event Creationstory
Event organizer James Steinberg discusses his background in tech and cybersecurity, explaining how he creates satirical, pun-based tech events like crypto-bro rehoming.
- 7:32
Clarifying Palantir Data Ownershipinsight
Journalist Mike Steinberger clarifies that Palantir does not actually own, buy, or sell data, but rather builds tools for organizations to analyze their own information.
- 9:04
Airbus Production Line Optimizationdata
Palantir software helped manufacturer Airbus create a real-time digital twin of its A350 production line, cutting glitch-fixing time down by a week.
- 17:29
Unwitting Digital Footprint Trackingstory
Attendee Zach was shocked when event organizers displayed private photos and details of his life gathered solely through public images and facial recognition.
- 23:16
ICE Surveillance Technological Backboneinsight
Palantir's software helps ICE integrate thirty to forty different datasets, allowing authorities to locate individuals in minutes instead of hours.
- 24:21
Expanded Database Name Countsdata
An investigative report revealed that ICE's database contains twenty million names, which exceeds the estimated undocumented population in the US.
Quotes
“Palantir is a company known for working with ICE and the Department of Defense, and it is rumored to have helped track down bin Laden, although that has never been confirmed.”
Unnamed speaker · 0:44
Sponsored segments
- HubSpot 0:00–0:16
- BetterHelp 4:27–4:50
- Babson College 4:50–5:40
- Mint Mobile 5:20–5:51
- Babson College 18:03–18:45
- LinkedIn 18:44–19:52
- HubSpot 19:55–20:20
- Google Workspace with Gemini 28:43–29:15
- Charles Schwab 29:03–29:28
About this episode
To a lot of people, Palantir is a mystery — what does the company know, what data do they have, and (if they have it) what do they do with it all? We dig into that mystery and take you to a singles event to see if Big Data is good for Big Dating. That event, deep in the heart of Manhattan, is called: “Singles Dating Matching Using Palantir Data.” The evening promised: “Data analysis!” and “Pattern matching!” We decided that we needed to know more. Read: - Our book: Planet Money: A Guide to the Economic Forces That Shape Your Life https://lnk.to/i3AukBdD - Our weekly longform Planet Money newsletter https://n.pr/3zrFvUB - Our weekly Indicator round-up newsletter https://www.npr.org/newsletter/indicator Follow: - Instagram https://n.pr/3FqLuws - TikTok https://n.pr/3sGZdrq - YouTube https://lnk.to/iCVDaW3C - Facebook https://n.pr/3h92GwS Support public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show’s perks include bonus episodes and sponsor-free listening. Learn more atplus.npr.org http://plus.npr.org/. This episode was hosted by Amanda Aronczyk, produced by Sam Yellowhorse Kesler and edited by Jess Jiang. It was engineered by Cena Loffredo and Maggie Luthar and fact-checked by Sierra Juarez. Alex Goldmark is Planet Money’s executive producer. Music: Universal Production Music - "Silvana’s Theme," "Masseria Del Sud," Sunset in Florence," and "An Italian Romance" See pcm.adswizz.com https://pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences. NPR Privacy Policy https://www.npr.org/about-npr/179878450/privacy-policy
Transcript
4,790 words · 8 speakers
Topics
- Palantir
- ICE
- Airbus
- CIA
- New York
- facial recognition
- FBI
- Indonesia
- Department of Defense
- IRS
Page updated · transcript and summary are machine-generated