ChatGPT converses with 5,239 girls for Russian programmer.

: The Unconventional Love Story of Alexander Zhadan and ChatGPT

In the age of digital , finding love through dating apps has become a common practice. But one man, Russian programmer Alexander Zhadan, took a unique approach to the search for his true love. He decided to create a dating based on the ChatGPT API, and the results were nothing short of extraordinary.

Zhadan's journey began with a realization that traditional dating apps often left users feeling unsatisfied. The vast choice of potential matches and the lack of meaningful connections led him to explore alternative methods. That's when he came up with the idea of using a chatbot powered by .

The initial versions of Zhadan's dating bot were far from perfect. The neural network often “hallucinated” and suggested unconventional date ideas, like meeting in the forest. However, through numerous revisions and training the bot with his own real dialogues, Zhadan was able to fine-tune the system.

The bot, named ChatGPT, started selecting suitable profiles in the Tinder app based on specific criteria. It engaged in conversations with potential matches, and if the interaction went well, it suggested meeting in person. But ChatGPT's capabilities didn't stop there. It also helped Zhadan prepare for personal meetings by creating profiles of each girl based on their dialogues. It recommended topics to discuss, such as childhood, parents, goals, and values, to assess .

The success of Zhadan's unconventional approach is undeniable. The bot conversed with an impressive number of 5,239 girls until it found the one that stood out – Karina. Interestingly, ChatGPT had already been communicating with Karina since its very first version. As the bot's capabilities improved with each iteration, it provided valuable insights and even suggested that Zhadan propose to Karina. She said yes, and they have been living together happily for over a year.

Critics argue that Zhadan's approach is cynical and consumerist, as it deviates from conventional dating norms. However, Zhadan defends his project, emphasizing the emotional work involved in finding the right person. He explains that he maximized personalization in his interactions with the girls and made the communication as effective as possible.

The project not only saved Zhadan time but also financial resources. By using ChatGPT, he estimates that he saved over five years and 13 million rubles in the search for his true love. Furthermore, Zhadan highlights that his approach benefited the girls as well, as it avoided pursuing relationships that would not have worked out.

This innovative use of artificial intelligence in the realm of dating raises important questions about the role of technology in our personal lives. Zhadan's story demonstrates that neural networks, like ChatGPT, are tools that can enhance human capabilities rather than replace them. It is up to individuals to understand and harness the potential of these technologies for their own benefit.

As we navigate the ever-changing landscape of relationships in the digital age, stories like Zhadan's remind us to embrace new technologies while staying true to our values and maintaining genuine connections. The polarity of opinions surrounding Zhadan's project serves as a testament to the evolving nature of love and the diverse perspectives held in society.

In conclusion, Alexander Zhadan's unconventional journey to find love through the use of ChatGPT showcases the power of combining human ingenuity with artificial intelligence. His story challenges societal norms and prompts us to question the ways in which we seek and cultivate relationships in a technology-driven world.

Pros and Cons:

## Pros
– Saved time and effort in the search for true love
– Allowed for personalized and effective communication with potential partners
– Helped in selecting suitable profiles and suggested meeting in person
– Provided for conversation topics to understand compatibility

## Cons
– Some may find the approach cynical and consumerist
– Negative reaction due to unconventional methods of dating
– Perceived as non-human communication by some
– Reliance on technology may overshadow genuine emotional connection

Newspaper Insights:

-Assisted Partner Selection, Ethical considerations, Future of Human-AI Relationships

How do Humans get Outperformed?

In certain tasks, like the one described in the article, humans can be outperformed by AI systems. Alexander Zhadan used a chatbot powered by the ChatGPT API to automate the process of finding a suitable partner on a dating app. The chatbot engaged in conversations with thousands of girls, selected profiles based on specific criteria, and even suggested meeting in person. Through this approach, Zhadan was able to save time and resources compared to traditional dating methods.

The advantage of AI systems like ChatGPT lies in their ability to process vast amounts of information quickly and make personalized recommendations. They can analyze data, learn from patterns, and adapt their responses based on user feedback. In this case, the chatbot learned from Zhadan's own dialogues and was trained to send appropriate messages while filtering out questionable ones.

While AI systems can excel in certain tasks, it is important to note that they are designed to assist and augment human capabilities rather than replace them entirely. In Zhadan's case, the chatbot served as a tool to enhance the efficiency of the dating process. Understanding how to leverage AI technologies effectively can provide individuals with a competitive edge in various domains.In certain tasks, like the one described in the article, humans can be outperformed by AI systems. Alexander Zhadan used a chatbot powered by the ChatGPT API to automate the process of finding a suitable partner on a dating app. The chatbot engaged in conversations with thousands of girls, selected profiles based on specific criteria, and even suggested meeting in person. Through this approach, Zhadan was able to save time and resources compared to traditional dating methods.

The advantage of AI systems like ChatGPT lies in their ability to process vast amounts of information quickly and make personalized recommendations. They can analyze data, learn from patterns, and adapt their responses based on user feedback. In this case, the chatbot learned from Zhadan's own dialogues and was trained to send appropriate messages while filtering out questionable ones.

While AI systems can excel in certain tasks, it is important to note that they are designed to assist and augment human capabilities rather than replace them entirely. In Zhadan's case, the chatbot served as a tool to enhance the efficiency of the dating process. Understanding how to leverage AI technologies effectively can provide individuals with a competitive edge in various domains.AI-Assisted Partner Selection,Ethical considerations,Future of Human-AI Relationships

Relation to :

Mathematics plays a crucial role in various aspects of our lives, including unexpected areas such as the story of Alexander Zhadan, a Russian programmer who used a chatbot powered by neural networks to find true love. While this may seem like an unconventional use of mathematics, it highlights the underlying principles and algorithms that make such technology possible.
Neural networks, the foundation of Zhadan's chatbot, are mathematical inspired by the structure and functioning of the human brain. These networks consist of interconnected nodes, or artificial neurons, which process and transmit information. Through a process called training, neural networks learn patterns and relationships within data, enabling them to make predictions or generate responses.
In the case of Zhadan's chatbot, the neural network was trained using his own real dialogues with girls. This training involved feeding the network with input data (dialogue text) and corresponding output data (appropriate responses). By iteratively adjusting the weights and biases of the network's connections, the neural network learned to generate contextually relevant replies.
The mathematics behind neural networks involves complex calculations and optimization algorithms. These calculations determine the values of weights and biases that minimize the difference between the network's predicted output and the desired output. The most common method used for this optimization is called backpropagation, which involves propagating errors backward through the network and adjusting the weights accordingly.
Aside from the neural network itself, mathematics also played a role in Zhadan's decision-making process. He set certain criteria, such as having at least two photos in a profile, to filter potential matches. This involved using mathematical logic to evaluate and compare different profiles based on their attributes. By defining specific criteria, Zhadan aimed to improve the quality of his matches and save time in the dating process.
Furthermore, Zhadan's project involved analyzing data and making informed decisions based on the results. He measured the effectiveness of his chatbot by tracking metrics such as the number of matches, conversations, and dates. These quantitative measures allowed him to evaluate the success of his approach and make adjustments as needed. By leveraging mathematical analysis, Zhadan optimized the performance of his chatbot and increased the likelihood of finding a compatible partner.
Beyond Zhadan's personal experience, mathematics plays a fundamental role in the field of matchmaking algorithms used by dating apps. These algorithms use various mathematical techniques to match individuals based on their preferences, interests, and compatibility scores. By analyzing large datasets and applying mathematical models, these algorithms aim to increase the likelihood of successful matches.
In conclusion, the story of Alexander Zhadan and his use of a chatbot to find love demonstrates the intersection of mathematics and unconventional applications. The underlying mathematics of neural networks enabled the chatbot to learn and generate contextually appropriate responses. Additionally, mathematics played a role in Zhadan's decision-making process and the analysis of data to optimize his approach. This highlights the diverse and powerful applications of mathematics in our modern world, extending even to the realm of personal relationships.

As an AI critic, it is concerning to see the use of AI technology, such as chatbots, being employed to manipulate and automate the process of building personal relationships. While Alexander Zhadan's project may have resulted in finding a suitable partner, it raises ethical questions about the authenticity and emotional connection in a relationship that begins with a chatbot. This approach reduces human interaction and genuine connection to a mere algorithmic process, undermining the value of personal experiences and emotions. Additionally, relying heavily on AI to navigate relationships can perpetuate a consumerist mindset, treating potential partners as commodities to be filtered and selected based on predetermined criteria. It is important to prioritize genuine human connection and meaningful interactions over expedited and automated methods, as relationships are built on trust, empathy, and shared experiences.

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