Introduction
- Shekeib and Shohaib join the podcast as guests to talk about their experience with creating hot sauces using AI optimization.
- They created a special hot sauce, named "Counting Sauce," specifically for the podcast hosts.
The Making of Counting Sauce
- This is a unique hot sauce that includes pineapple and mango flavors.
- The sauce was created as a token of appreciation for being featured on the podcast.
Journey through Different Versions of the Sauce
- The hosts have tried versions 19, 20, 21, and they just received version 25.
- There will be a blind taste test to determine if they can tell the difference between the different iterations and compare them with other sauces to tell which is AI-created.
Optimization Process
- The process involves optimizing the amount of each ingredient.
- They use a Gaussian process regression model and an acquisition function called Expected Improvement for the optimization.
Choice of Ingredients
- The base hot sauce has five main ingredients: vinegar, pepper, jalapeno, and lime.
- After 25 iterations, the differences in taste become so minute it becomes hard to tell the difference.
Subjective Taste Testing
- Shekeib talks about how his taste tolerance changes after tasting hot sauces all day.
- They involved family and friends in the tasting process and asked for ratings on a scale of one to ten.
The Learning Curve of the AI
- Early on, the AI would try extreme variations like too much or too little salt.
- It learned quickly from feedback and adjusted accordingly.
Strength of Bayesian Optimization
- The AI can learn mathematically from feedback and apply the learnings, making the optimization process quicker and more efficient.
- It was also able to tweak multiple ingredients simultaneously, unlike a human who might focus on one ingredient at a time.
No Prior Experience in Hot Sauce Making
- Both brothers had no prior experience or generational knowledge in hot sauce making.
- The AI managed to create a decent hot sauce in just five iterations.
Power of Bayesian Optimization with Human Expertise
- The brothers emphasize the importance of having a human expert in the loop of Bayesian optimization.
- The AI simulates the intuition and experience of a human expert, but having a real human guide the process further enhances the results.
- Application Beyond Hot Sauce
- They discuss the potential of their Bayesian optimization process in other areas such as drug discovery.
- The process can be guided by human experts in the respective fields for even better results.
Host: Angelo Kastroulis
Executive Producer: Náture Kastroulis
Producer: Albert Perrotta
Communications Strategist: Albert Perrotta
Video/Audio Engineer: Ryan Thompson
Music: All Things Grow by Oliver Worth
