Season 3 Episode 1: My Favorite Problems Are NP-Hard (Just Like Real Life)

Ashley Siddiqui
3 days ago
1 min read

In this episode, Ashley uses computational complexity to explain why some global issues such as poverty, climate resilience, healthcare distribution, seem impossible to solve. She reframes NP-hard problems as opportunities for creativity, approximation, and innovation. An empowering episode for anyone navigating high-difficulty challenges.

Recent Posts

See All

Season 3 Episode 4: Teaching Machines to Care: Can Algorithms Be Ethical?

In this episode, Ashley unpacks algorithmic fairness, moral responsibility, and the ethics behind AI systems that influence real human lives. She discusses bias, representation, and the urgent need fo

Season 3 Episode 3: When Students Learn Faster Than the Algorithm

In this episode, Ashley compares the human brain to machine-learning models and asks a simple question: who adapts faster? She explores neuroplasticity, reinforcement learning, and why students in unp

Season 3 Episode 2: How I Learned to Predict the Future (With Only a Model and a Million Assumptions)

In this episode, Ashley breaks down the art and science of prediction. She unpacks forecasting models, uncertainty, training data, and why even the most advanced AI still makes mistakes. Listeners wil

Comments