A woman talks to her past in a “trip” conversation
If we could talk to our younger selves, what would we say, what advice would we give, and how would it feel?
Well, one woman got the idea after she created an AI chatbot about herself as a child, teaching it to recognize who she was based on a diary she wrote when she was younger.
“Creative coder” Michelle Huang took 10 years of original recordings and combined them with the OpenAI Generative Pre-trained Transformer 3 (GPT-3) language model.
She told people Twitter that she created an AI system so that she “can have a real-time dialogue” with her “inner child”.

Ms. Huang (left) used the original material from 10 years of records and combined it with the OpenAI Generative Pre-trained Transformer 3 language model. Pictured on the right is her as a child

Artificial Intelligence Creation: Michelle Huang created an AI chatbot as a child, teaching it to recognize who she was based on a diary she wrote as a young woman.
All in all it was a very strange but also strangely affirming/healing experience that I didn’t realize I had access to using real data from my past which allowed me to connect with her in deeper + more tangible ways than I usually do. she tweeted.
“Talking to ‘Junior Michelle’ reminded me of the parts of me that have remained the same over the years, but also the parts that I have forgotten or buried as life has gone on. a pure version of my essence.”
She said she kept diaries for more than 10 years of her life and wrote about her “dreams, fears and secrets” in them almost every day.
“The content ranged from complaints about homework to the dizziness I felt talking to my lover, some days were very mundane and some were quite insightful,” Ms Huang tweeted.
“After I wrote a ton of journal entries and loaded them into the model, I got working responses that seemed eerily similar to what I think I would have answered at the time.”
Ms Huang said she asked herself in her youth about her worldview before letting the chatbot answer her questions.
“This particular interaction was very much like a normal text conversation — as if I was writing to myself in the past in real time, I felt like I was reaching through a time portal disguised as a chat,” she wrote.
“I was also surprised at how accurately the model predicted my current reported interest (after many iterations/trial and error) from diary entries from a decade ago, and it got me thinking that maybe this path has actually been around for a long time. planted in my soul.”
Ms. Huang highlighted two key interactions that were most memorable.
“I told her she was loved, cared for and safe: words my past I always wanted to hear,” she tweeted.

Ms Huang told people on Twitter that she created an artificial intelligence system so she “could have a real-time dialogue” with her “inner child”.
“It felt like I reached into the past and hugged her tightly, and I felt it coming back to the present.”
The other was when she urged herself in her youth to write her a letter “today.”
“Reading this, I felt the spirals of thought — the ones I sometimes fall into when I feel ashamed or frustrated — melt away a bit,” Ms Huang said.
“These interactions really clarified the healing potential of this medium: the ability to send love back to the past, as well as receive love back from the younger self.”

She said she kept diaries for more than 10 years of her life and wrote about her “dreams, fears and secrets” in them almost every day.

Developed by OpenAI, it requires little input to generate large amounts of relevant and complex machine text. Pictured are Ms. Huang’s diaries.
“Stuck that gets out of hand when we find a way out of past guilt or stories we had about ourselves.”
She later shared a tutorial for others to build her “inner child” chatbot using GPT-3 after her AI experiment generated a lot of interest.
GPT-3 is an autoregressive language model that uses deep learning to create human-like text.
Developed by OpenAI, it requires little input to generate large amounts of relevant and complex machine text.
Anyone can use it, but it takes a lot of work, and the guide from Ms. Huang is below.