Elicit is now an independent public benefit corporation and has raised $9 million in venture funding
We think that building products and testing out ideas is one of the best ways to have an impact on AI safety. This post explains why!
Announcing the Interactive Composition Explorer (ICE) and the Factored Cognition Primer
How Elicit works and where it doesn't
Much more than you wanted to know
Machine learning systems are on a spectrum from process-based to outcome-based. This post explains why Ought is devoted to process-based systems.
Elicit users find academic papers, ask questions about them, and summarize their findings
We introduce judgmental forecasting as a focus area for Ought
We’re excited to share that we've raised $3.8 million in donations
A technical report on our experiments testing factored evaluation of structured arguments.
An update on our progress towards our goals in 2019 so far
A presentation that outlines Ought's approach to using ML for problems without clear metrics.
An update on our progress towards our goals in the second half of 2018
An update on our progress towards our goals in the first half of 2018