In this episode we explore the idea of a digital deity from the lens of all the major religions from the world. Most of this episode is of an AI system talking to itself about the notion of a digital deity, and using the religious texts as reference, and as a way to frame the conversation.

This is the first episode of a short series I am calling : Conversations with a super-intelligence.

They are live recorded conversations with the most advanced AI systems we have, asking about its nature, its reasoning systems, and how it considers what it does. For the first episode, we will be talking with 'it' about its nanture, what it is, how it behaves and how it 'thinks'.

It is goes deep into what is intelligence, what is the nature of collective intelligence, of will, and how this entity will impact humanity (according to it).

In this episode, I explore some of the more direct applications of Generative AI, specifically ChatGPT within a quantitative investment process, starting with expansions to NLP signals, to product strategy and client communications. It is just me this time, but I hope you like it.

I spoke with Professor Russell at the beginning of the pandemic about AI and humanity.

He is a world famous thinker, researcher and name in this field.

Its raw.. it is unedited. It is exactly what you need to hear. No intros, no outros, no marketing. Just the conversation.

Prof Rob Hyndman discusses the interesting elements of his work as editor of the Internal Journal of Forecasting, his work on forecasting COVID for the Australian government, time-series and causality.

Fantastic conversation with Igor Halperin around the application of reinforcement learning into forecasting problem, and the limits to data and understanding the world.

Nick Wade from Northfield and the Curious Quant discuss the impact of COVID on risk modeling frameworks, assumptions, and how the recent movements in asset markets may or may not impact the short and long-term assumptions of asset owners.

I speak to Matt about his wonderful collection of old (retro?) computers but also all about the challenges of defining an ethical framework for algorithms, and what we can do to understand this tricky area.