AGI House Blog
Insights, research, and perspectives from the forefront of artificial general intelligence
Autonomous Robot Build Day: Pre-Event Guide
The pre-read for Saturday's robotics hackathon: foundation models meet the physical world, challenges with data diversity and the sim-to-real gap, and what determines who wins embodied AI.
Embodied AI's Real Race: From Hardware Parity to Data Monopoly
Hardware costs have collapsed 40% YoY. The humanoid race is now a data synthesis problem—and the winners will be decided by who masters the sim-video-teleop stack first.
AI × Healthcare: A Technical Market Map from the Build Floor
Administrative automation, clinical decision support, and continuous remote monitoring are converging into unified AI operating systems for healthcare. We break down the technical architectures, market dynamics, and unsolved problems—informed by building alongside 50+ founders at our Hillsborough healthcare hackathon.
From Structure to Function: The Next Phase of Foundation Models in Drug Discovery
A technical review of domain-specific foundation models for therapeutic development—examining what distinguishes them from general-purpose architectures, where current approaches fall short, and what advances are needed to close the gap between computational prediction and clinical reality.
AI4Healthcare: Technical Workshop & Project Guide
The pre-read for Saturday's AI4Healthcare workshop: industry dynamics, project ideas with open APIs, and the biggest unsolved problems for founders.
From Greenfield Devs to PR Wizzes: The Newfound Autonomy of Coding Agents
Coding agents aren't just "more autonomous" or "less autonomous"—they vary along two distinct dimensions: the scope of changes they produce (incremental to greenfield) and how frequently humans review their work. Drawing on insights from Gemini Build Day, where 200+ builders spent 18 hours pushing the boundaries, this memo maps the landscape from GitHub Copilot to Google Antigravity and explains why context engineering—not raw model capability—is becoming the key differentiator.
Native Multimodal Architectures: Why Cross-Modal Fusion Defines the Next Defensible Moat
Native multimodal architectures have hit an inflection point. Drawing from our Gemini 3 x Graphon AI hackathon with 200+ builders, we analyze three core theses: why native fusion creates defensible moats over late-fusion approaches, how embodied applications unlock proprietary data flywheels, and why prosumer controllability drives 10x better retention than consumer magic. Includes field notes, technical challenges, and opportunities for builders at the infrastructure and application layers.
Google Gemini 3: Launch Notes & Project Guide
Google's Gemini 3 crosses 1500 Elo and claims the LMArena crown with native multimodality, 1M token context, and sparse MoE architecture. We break down the research innovations—from early-fusion transformers to the new Antigravity IDE—and provide 25 curated project ideas that leverage Gemini's unique capabilities for our December 13th Build Day.
The SLM Opportunity: Data Flywheels, Edge Deployment, and the New AI Infrastructure Stack
Frontier APIs win generic tasks, but specialized SLMs win where structural constraints favor local deployment. Drawing on academic research, 2025 breakthroughs, and our AWS hackathon, we map four investment theses: proprietary data flywheels, enterprise packaging, hardware-architecture co-design, and edge-cloud orchestration.
Self-Evolving Agents: The Emerging Stack and Field Insights
Self-evolving agents are reshaping how we think about the future of intelligence and the opportunities ahead. Our latest AGI House Hackathon surfaced insights that sharpen our investment thesis across the full stack.