Sounds kinda Bauplan-esque? arxiv.org/abs/2602.02335
Who's Who of AI
Ethan
Why they matter
Practitioner with public evidence across AI business, Culture, work & education.
- AI signals
- 0 past 30d
- Sources
- 0 distinct domains
- Discusiones
- 3 past 30d
- Latest signal
- —
data/ml/ai @ runway in 🗽
formerly spent time in startups, biggish tech, and physics labs
www.ethanrosenthal.com
What they're sharing
Building a Correct-by-Design Lakehouse. Data Contracts, Versioning, and Transactional Pipelines for Humans and Agents arxiv.org
LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs arxiv.org
Articles & links
LLMs coming for Gurobi arxiv.org/abs/2605.10401
Their own posts
Recent commentary
It’s oddly vindicating(?) that our Agentic Age rewards those who invested in software engineering best practices. Tests, CI/CD, platform APIs, infrastructure as code. They’re all very well-aligned with agent utility, which is maybe not surprising; these are all done in the name of automation
Their network
In Ethan's orbit
Center = Ethan. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.