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How Keeper is using GPT-4 for matchmaking. It takes profile data & preferences, determines if the match is worth pursuing & automates the followup. With computer vision for the physical, you can filter on anything and find your ideal partner.

2,975,617 views • 3 years ago •via X (Twitter)

11 Comments

Jake Kozloski 🇺🇸's profile picture
Jake Kozloski 🇺🇸3 years ago

Our latest marriage made, featured in the Toronto Star today. @jordanbpeterson we'd love to chat - a better solution than swipe apps for family formation is critical for the future laid out by you and @arc_forum

Moonlit Monkey's profile picture
Moonlit Monkey3 years ago

Everything about this sucks

Jake Kozloski 🇺🇸's profile picture
Jake Kozloski 🇺🇸3 years ago

I disagree :) It solves almost all of the problems that swipe-based dating apps created.

Big Boy's profile picture
Big Boy3 years ago

Just so everyone’s on the same page here

Jake Kozloski 🇺🇸's profile picture
Jake Kozloski 🇺🇸3 years ago

Yep, plan is to reduce the price significantly once we reach full autonomy.

druthant's profile picture
druthant3 years ago

Cool tech demo. But people don't really know what leads to long-term relationship success. There is science about it, though. Take a look at @gottmaninst, @EstherPerel, or @loganury. Who will finally give us better dating than Match Group?

Jake Kozloski 🇺🇸's profile picture
Jake Kozloski 🇺🇸3 years ago

@GottmanInst @EstherPerel @loganury Individuals know what they want in a long-term partner. Match group doesn't let people filter on what they actually want. does.

mattparlmer 🪐 🌷's profile picture
mattparlmer 🪐 🌷3 years ago

Please tell me that’s dummy info you’re posting videos of

Jake Kozloski 🇺🇸's profile picture
Jake Kozloski 🇺🇸3 years ago

It is 👍

ecurrencyhodler's profile picture
ecurrencyhodler3 years ago

Determining a match is way too literal to be useful.

Jake Kozloski 🇺🇸's profile picture
Jake Kozloski 🇺🇸3 years ago

False. We've made marriages using this method. Turns out when you give two people what they want, they often fall in love.

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