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On AI For Creativity - Session 2

"On AI For Creativity" is a series of sharing sessions where we invite experts from various domains (tech, design, finance, education, art and entertainment, etc) to share ideas and work on AI x Creativity. Both online / in-person events will be hosted. This in-person session in Central touched on the “Gold Rush” for Generative AI, gathering founders, directors, technologists, designers, and other creatives.

🚀 Talk 1: Writing a book with ChatGPT (by Gautier)

Gautier recently wrote a book on Quantitative Trading with ChatGPT in record time and attracted hundreds of thousands of views. He shared his experience in the creative process and his views of technologies like ChatGPT.

  • He wrote and edited the book in merely 6 hours.
  • He wrote the text by applying Hierarchical Prompting (Give me a title + Give me more specific topic + ...).
  • He mentioned that ChatGPT is good at structuring the information around a theme.

Some ideas for the next step of the project:

  • Wait for ChatGPT-4, and write a second revised edition!
  • Market watch for the common knowledge on the quant trading strategies / datasets relatively known the general public or the web (through ChatGPT prompting).
  • Write a book on data science & quant trading interviews questions, answered by ChatGPT (in the making); ChatGPT is quite good at it.

Gautier's book can be downloaded for free here on Amazon; it has one very hilarious review.

🚀 Talk 2: AI’s Impact on creative careers (by Kevin)

The marginal cost of creativity has gone down drastically due to the advances in Generative Models. He shared what it could mean for someone who is engaged in creative industries.

  • AI brings the automation of tasks, not jobs.
  • Routine & repetitive tasks will quickly become automated.
  • Today’s common jobs will look different tomorrow.

Some skills that are hardest to automate:

  • Building Relationships & Trust
  • Empathy
  • Critical Thinking
  • Creativity
  • Storytelling

From Q&A, Kevin seems more optimistic about the future of work than Gautier.

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