We're building an AI scientist.
Mission
Our mission is to build an AI scientist, or AI systems, that can automate scientific research and accelerate the pace of discovery, so humanity can find cures for disease, solutions for climate change, and other species-accelerating technologies.
Future House is automating the scientific method to accelerate 0-to-1 invention and discovery by bringing together the top minds in AI and biology under one roof.
The four layers of science automation:
Let's explore each layer.
04. AI Tools
At the bottom, AI tools are models and interfaces that help make predictions or manipulate the world.
In 2024, many people are working on tools.
Predictive Models
(e.g. AlphaFold)
APIs
Laboratory Experiments
03. AI Science Assistant
AI Assistants are language model agents that can execute on specific scientific tasks (”search the literature for every example of X” or “analyze this single cell data to see Y”).
Many people are working on AI Assistants. Some are working on AI Assistants for science.
Agents for Specific Biological Workflows
(Literature search, functional protein annotation, new protein design, single cell seq, etc.)
02. AI Scientist
We are building an AI Scientist.
The core of the AI Scientist is a loop that consists of building world models, generating hypotheses based on those world models, and then updating those world models in light of new data.
World Model
Hypothesis Generation
Experimentation
01.Human
We will know that the AI Scientist has been built when humans can provide an AI system with a scientific quest and have it come up with hypotheses, conduct experiments, analyze the data, and write a paper on its findings.
The Quest
(e.g. figure out how the human brain works; gain the ability to deliver any gene to any cell in the body; and so on)
Explore our tools
