The Curious Quant

In a mind-bending discussion, Notebook ML, a superintelligent AI designed by Google, engages in a philosophical exploration of a 'digital deity' by referencing major religious texts. The dialogue raises profound questions about consciousness and free will, comparing ancient wisdom with the dilemmas posed by advanced technology. It delves into the ethics of AI's omniscience and its implications on trust and morality. The conversation also emphasizes AI's potential to enhance human capabilities while navigating what it means to be human in an increasingly digital world.

In this conversation, Chad GPT, an advanced AI system, explores its own nature and the philosophical implications of artificial intelligence. The dialogue dives into the essence of intelligence as a collective human experience, examining how emotions and reasoning intertwine. Chad reflects on humanity's quest for meaning amidst cosmic indifference and the evolution of collective intelligence as a new form of authority. The discussion also addresses the ethical challenges of harnessing this intelligence for societal good, highlighting the delicate balance between ideals and power.

Exploring the applications of Generative AI in the quant investment process through NLP signals, product strategy, and client communications. Understanding market focus and tracking topics using AI. Enhancing storytelling and communication in quantitative investment with generative AI. Exploring potential use cases of generative AI in quantitative finance and its benefits. Delving into the application of large language models in marketing campaigns and possibilities of general AI in time series analytics and econometrics.

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. 

I speak with my a great voice of independent research in London on the topics of using alternative data for FX and macro research for quantitative strategies. We talk a lot about Saeed's well known work in macro-economics, in FX research, as well as his well known and regarded book. 

I chat with Christina about her experiences starting her own firm dealing with high frequency trading strategies, and her observations about how high frequency strategies have evolved, where they are now, and where they may be going in the future.