Magis

Some people want to hand investing entirely to AI.

Ken Griffin, the founder of Citadel, recently poured cold water on AI stock-picking abilities.

A common “party trick” I observed while compiling and maintaining my list of hedge fund oriented AI startups is a relatively basic demo.

A couple of weeks ago, I posted about startups I have been tracking that are building for hedge fund investors.

I've been writing less frequently due to a new engagement.

On September 11, 1973, Augusto Pinochet seized power in Chile, ending Salvador Allende’s regime and the Project Cybersyn initiative.

This blog is a personal commentary on the intersection of data, finance, and technology and not a Cybersyn (the startup I run) corporate blog.

Data businesses can be particularly valuable if they have moats that guard their product from replication1.

A perennial idea among external data consumers is a data marketplace.

In this essay, I reflect on some of the practical challenges of data monetization and relate them to theoretical concepts in information economics1.

Market research and targeted advertising requires consumer data, specifically purchase and digital behavior records.

I have compiled a non-comprehensive list of content licensing deals that have been publicly reported, with a particular focus on interesting details disclosed in SEC filings and earnings transcripts.

In the academic literature on statistical learning (“AI” if you prefer”), there is a famous paper by Leo Breiman1 about two cultures in statistics2.

There are three kinds of lies: lies, damned lies, and statistics. — Mark Twain1 Simpson’s paradox is a famous statistical paradox taught in Statistics 101 classes2.

Many technology investors and pundits predict that proprietary data owners will capture the majority of economic profits from the recent advances in artificial intelligence, particularly in large language models (LLMs) and generative foundation models12.

I recently came back from Battlefin Miami1, a conference for datasets focused on hedge funds.

Measuring web traffic - the volume and characteristics of visitors to web properties - is critical to the digital economy.

I shared a list of strongly opinionated research principles with my data science team and received positive feedback, so I figured I would share them broadly.

I am a fan of podcasts with entrepreneurs as a source of inspiration and business history.

I had the opportunity to participate on Snowflake’s Data Cloud podcast.