Cooking AI and robots for food at KAIKAKU, acquired by SoftBank-backed REEF. Born and raised in Austria, currently between SF, Boston and London.

Peeled potatoes at my parents’ restaurant since age 6. Then built one of the world’s first bitcoin faucets at age 13 with 150k daily users, which somehow led to leading software in the Austrian military. Eventually the food won.

Research#

Papers on judging physical AI: whether a robot succeeded, when it’s about to fail, and the inference underneath. Epicure, the world’s largest multilingual food model, is the judge for food; the sketch below is a hand-placed miniature. Drag it around. The dashed arcs are pairings the model swears by, like caramel and fish sauce.

• Ready Cohorts: Bounding GPU Opportunity and Avoiding Host Round Trips in LLM-Agent ControlAug 2026

  When concurrent agent work fills a GPU, and why routing on device beats a host round trip.

• When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier ModelsJun 2026

  Combining LLMs rarely beats the single best model. A co-failure ceiling, measured across 67 frontier models.

• AEGIS: A Backup Reflex for Physical AIJun 2026

  Detecting imminent manipulation failure from a weak policy's internal states, then switching to a stronger one just in time.

All 8 papers →

Writing#

Braindumps. The latest three:

• Sep 20, 2026The GPU Already Lost This Job Once
• Jul 7, 2026Turks All the Way Down
• May 29, 2026The Genghis Khan Operating System

All 9 braindumps →

Investing#

$5k-100k angel checks into 50+ pre-seed rounds, mostly founders building physical things and/or with some extremely complex: Isembard, Hone, Strala, Dirac, Eridale and friends.

Full portfolio →

Taste#