How good are the current AI agents for scientific discovery? We have answers in our new paper: lnkd.in/dxzmZXpR!
We look at 4 ways AI scientists can go wrong; design experiments to show the manifestation of these failures in 2 open source AI scientists; and recommend detection strategies.

I was planning to launch my substack on "Human, life, AI, and future" in a few months, with something very different. But life doesn’t always care about our timelines. Events erupt. Emotions build. And suddenly, waiting feels like avoidance. My first post: atoosatopia.substack.com/p/valid-and-...

7/ We identify 6 gradations for varying degrees of goal complexity.

5/ We propose a preliminary efficacy matrix for this dimension of AI agency.

1/ We identify four key dimensions of AI agency: autonomy, efficacy, goal complexity, and generality. For each dimension, we propose a set of graded categories. We then use our analysis to construct "agentic profiles" for four different types of AI systems

New paper with Iason Gabriel on "Characterizing AI agents" is out! 2025 is being called the year of AI agents, with overwhelming headlines about them every day. But we lack a shared vocabulary to distinguish their fundamental properties. Our paper aims to bridge this gap. A 🧵