Thinking Machines: AI & Philosophy

In this episode, Daniel shares his perspective on the opportunities for the next wave of AI-native startups.

Machine Learning isn’t just about sentiment classification, churn prediction, and revenue forecasting anymore. Generative models can simulate real intelligence. But hard problems continue to require hard solutions, and prompt engineering with retrieval augmented generation won’t be nearly enough.

Have thoughts? We'd love to hear them! Drop an email at hello@slingshot.xyz or reach out on Twitter: @slingshot_ai.

Creators & Guests

Host
Daniel Reid Cahn
Founder @ Slingshot - AI for all, not just Goliath

What is Thinking Machines: AI & Philosophy?

“Thinking Machines,” hosted by Daniel Reid Cahn, bridges the worlds of artificial intelligence and philosophy - aimed at technical audiences. Episodes explore how AI challenges our understanding of topics like consciousness, free will, and morality, featuring interviews with leading thinkers, AI leaders, founders, machine learning engineers, and philosophers. Daniel guides listeners through the complex landscape of artificial intelligence, questioning its impact on human knowledge, ethics, and the future.

We talk through the big questions that are bubbling through the AI community, covering topics like "Can AI be Creative?" and "Is the Turing Test outdated?", introduce new concepts to our vocabulary like "human washing," and only occasionally agree with each other.

Daniel is a machine learning engineer who misses his time as a philosopher at King's College London. Daniel is the cofounder and CEO of Slingshot AI, building the foundation model for psychology.