We’ve built a system for automatically figuring out which object is meant by a word by having a neural network decide if the word belongs to each of about 100 automatically-discovered “types” (non-exclusive categories).
Related Posts
Building an early warning system for LLM-aided biological threat creation
We’re developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a…
Google faces backlash for plan that would turn off Search for schools that restrict AI
Politicians on the left, like NYC mayor Zohran Mamdani and former FTC chair Lina Khan, accused Google of acting as…
Dropbox acquires Tigris Data for $350M to bolster its AI infrastructure
The deal is expected to support the development of DBX Agent Cloud, a new storage platform aimed at developers building…
