Cooking foundational AI and robots for food at KAIKAKU. Born and raised in Austria, currently in 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 food embeddings, physical AI, and when combining language models actually helps. The Epicure work trained ingredient embeddings on 4.14 million recipes; the sketch below is a hand-placed miniature of that map. Drag it around. The dashed arcs are pairings the model swears by, like caramel and fish sauce.
- 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.
- Epicure: Navigating the Emergent Geometry of Food Ingredient EmbeddingsMay 2026
Ingredient embeddings trained on 4.14M recipes, from chemistry to recipe context.
+ 4 more papers− fewer papers
- Memory as a Wasting Asset: Pricing Flash Endurance for Embodied Agents, and the Limits of Doing SoJun 2026
Robot flash memory as depreciating capital, with a shadow price on every write.
- AURA: Action-Gated Memory for Robot Policies at Constant VRAMJun 2026
Write to memory only when it would change the next action.
- Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM DecodeMay 2026
Why faster GPUs disappoint at batch-1: launch overhead, not bandwidth.
- Epicure: Multidimensional Flavor Structure in Food Ingredient EmbeddingsApr 2026
Fifteen independent dimensions of taste, texture, geography and culture, recovered from embedding space.
Writing
Braindumps. The latest three:
- The Genghis Khan Operating System
- Cathedrals and Europe's Case for Forward Deployed Engineering
- Breaking Europe's Perfectionism Addiction
Investing
$5k-100k angel checks into 50+ pre-seed rounds, mostly founders building physical things: Isembard, Dirac, Minerva, and friends. Usually the first or weirdest check on the cap table.
Taste
Books worth rereading: Skunk Works (Ben Rich) · Extreme Ownership (Jocko Willink & Leif Babin)
YouTube: Exurb1a (deep science) · saintcavish (Chinese food)
Currently into: youtube documentaries, vertical integration, stir frying.