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AI naysayers consider that this nascent expertise is just too temperamental at this stage to be actually revolutionary, counting on anecdotes of assorted AI-based Giant Language Fashions (LLMs) hallucinating to bolster their case. Nonetheless, one tech-savvy netizen from Russia simply used OpenAI’s GPT-4 to search out the proper date on Tinder, illustrating the actually revolutionary traits of this rising paradigm shift in AI’s use circumstances.
Сделал предложение девушке, с которой ChatGPT общался за меня год. Для этого нейросеть переобщалась с другими 5239 девушками, которых отсеила как ненужных и оставила только одну. Поделюсь, как сделал такую систему, какие были проблемы и что вышло с остальными девушками. Тред pic.twitter.com/fbVO7OmZhF
— Aleksandr Zhadan (@biblikz) January 30, 2024
After enduring a breakup in 2021, Aleksandr Zhadan, started actively relationship girls in Moscow and St. Petersburg solely to see his efforts finish abruptly every time. In 2022, Zhadan gained entry to OpenAI’s GPT-3 API. He then developed a bot that may routinely swipe proper on profiles with not less than two footage.
The tech-savvy Russian built-in GPT-3 API along with his bot, permitting the LLM to speak with potential relationship candidates with out his intervention. Zhadan used the next immediate for this job:
“You’re a man speaking to a lady for the primary time. Your job, not instantly however to ask the lady on a date.”
This primary try yielded less-than-stellar outcomes, with the LLM typically forgetting data conveyed in earlier messages inside the similar dialog. This made Zhadan appear to be a “dory-pecked fish” to the offended relationship candidates.
Zhadan’s relationship fortunes improved markedly when OpenAI launched ChatGPT, bringing a devoted reminiscence cache to the desk. He skilled his mannequin in order that it may write extra naturally and put in further filters to stop the LLM from sending “cringe” tales. To higher goal his most popular relationship vectors, Zhadan skilled his bespoke bot on over 4,000 profiles that he had already swiped proper on by integrating Torchvision with the online model of Tinder.
Actually, the Russian programmer was in a position to filter out many of the noise to particularly goal his most popular vectors by utilizing an exhaustive record of filters. Of the 353 matched Tinder profiles, the LLM was in a position to chat with 160 (45 %), leading to 12 dates.
Zhadan continued to refine his method by asking ChatGPT to summarize his chats with every relationship vector on each Tinder and Telegram. He additionally requested the LLM to construct a profile of every lady that he really dated.
Finally, in what Zhadan defines because the V2 of his relationship bot, he built-in Google Calendar and Telegram with GPT-4. The bot may now arrange dates autonomously. So, what was the end result? Nicely, our prolific Casanova ended up with 4,886 matched profiles on Tinder. He dated as much as 4 occasions per day till he met with Karina – his present love curiosity. Yay for expertise!
