“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 and "Is the Turing Test outdated?", introduce new concepts to our vocabulary like "human washing," and only occasionally agree with each other.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.

Latest Episodes

The Future is Fine Tuned (with Dev Rishi, Predibase)

Dev Rishi is the founder and CEO of Predibase, the company behind Ludwig and LoRAX. Predibase just released LoRA Land, a technical report showing 310 models that can o...

Pre-training LLMs: One Model To Rule Them All? with Talfan Evans, DeepMind

Talfan Evans is a research engineer at DeepMind, where he focuses on data curation and foundational research for pre-training LLMs and multimodal models like Gemini. I...

On Adversarial Training & Robustness with Bhavna Gopal

"Understanding what's going on in a model is important to fine-tune it for specific tasks and to build trust."Bhavna Gopal is a PhD candidate at Duke, research intern ...

On Emotionally Intelligent AI (with Chris Gagne, Hume AI)

Chris Gagne manages AI research at Hume, which just released an expressive text-to-speech model in a super impressive demo. Chris and Daniel discuss AI and emotional u...

Why Greatness Cannot Be Planned (with Joel Lehman)

Former OpenAI Research Scientist Joel Lehman joins to discuss the non-linear nature of technological progress and the present day implications of his book, Why Greatne...

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