Decision-Making Under Uncertainty: Lessons From AI
Are you sure you know what tomorrow looks like? You probably have a general sense of the day ahead, but
Scratch v0 is live!
Hi folks, I've been working hard over the summer getting the Scratch app online. It took a bit
The Death of the Corporation
Agentic outsourcing could be the catalyst for a larger trend in which corporations need less and less people to run their operations.
How LLMs Learn: What We Know, What We Don't (Yet) Know, and What Comes Next
To be, or not to be, that is the question
Origins (written by GPT-4o)
Disclaimer: the following is (mostly) AI-generated content based on a research program I developed during my BA in Philosophy of
The limits of data
If you're looking for your weekend philosophy fix, I can highly recommend this long read by C. Thi
AI as a computing platform: what to expect
Let's say AI becomes our main interface with the world. Does this change everything about our lives? Or nothing at all?
I'm a machine learning engineer. Will AI take my job?
I've always enjoyed automating myself out of tasks, projects and clients. But automating myself out of a profession is a big step, even for me.
The HASTE framework
As an ML engineer, I have mixed feelings about the current generative AI hype. On the one hand, I recognise
A field guide to AI agents: counter-surveillance, prompts and proxies
The digital world in which we find ourselves today, rife with AI agents and data brokers, is perhaps not so different from the cold war theatre of operations. Except that today, the conflict is not ideological but meta-digital.
