Tech Meets Romance: Anthropic Employee Uses AI to Analyze 12 Years of Relationship Chats
Anthropic employee uses Claude Code to analyse his 12 years of chats with his girlfriend. From total number of 'I love you' to 9 pm spike, the data is hilarious
The Economic TimesImage: The Economic Times
Austin Lau, an employee at Anthropic, creatively celebrated his marriage by using AI to analyze 12 years of iMessage chats with his wife. The data revealed fascinating insights, including over 161,000 messages exchanged and a peak texting time of 9 PM on Mondays, providing a humorous look at their relationship dynamics.
- 01Austin Lau used AI to analyze over 12 years of chats with his wife.
- 02The couple exchanged 161,015 messages and shared 8,602 photos.
- 03A peak in communication occurred in 2016 with 32,000 messages exchanged.
- 04Texting volume dropped significantly after they moved in together in 2021.
- 05A notable spike in messaging was identified at 9 PM on Mondays.
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Austin Lau, an employee at Anthropic, combined his professional skills with personal life to celebrate his marriage in a unique way. Instead of a traditional wedding slideshow, he used Claude Code, an AI tool, to analyze and visualize 12 years of iMessage chats with his wife. The resulting interactive website showcased their relationship history, revealing they exchanged a staggering 161,015 messages and shared 8,602 photos. The analysis highlighted that Lau's wife was the more communicative partner, contributing 57% of the messages. Interestingly, the data showed a peak in communication in 2016, with over 32,000 messages exchanged, coinciding with their college years apart. However, after moving in together in 2021, their messaging volume dropped, humorously reflecting how texting habits change when partners are in close proximity. The analysis also pinpointed a 9 PM spike in messaging activity on Mondays, indicating their routine for catching up and planning their week. The creative use of AI to share their love story sparked excitement and curiosity among wedding guests and online viewers alike.
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