Among the books in my 'to-read' pile that I don't remember when I added, there was a book called 'The Grand Unified Theory of ...

As mentioned in "Trying to have an LLM summarize weekly LLM-related bookmarks," I have an LLM summarize the LLM-related ...

The elegant simplicity of the 60/40 portfolio hasn't just aged; it has effectively collapsed under the weight of non-linear market regimes.

Consumer behavior evidence plays an increasingly important role in privacy litigation and regulatory proceedings, where courts and agencies are often asked to draw conclusions from consumers’ ...

This repository contains the material for tutorials on two topics constituting a paradigm shift for analyzing quantitative data from empirical studies: Statistical causal inference (SCI): a framework ...

We explore how quantum computation – a computing method based on the principles of quantum physics – could be applied to Bayesian inference – an approach to updating beliefs and making predictions ...

Stanford adjunct professor and successfully exited founder Zain Asgar just raised an $80 million Series A for a startup that solve the AI inference bottleneck problem in an astute way. The round was ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

Animals survive in changing and unpredictable environments by not merely responding to new circumstances, but also, like humans, by forming inferences about their surroundings—for instance, squirrels ...