Categories: FAANG

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 biological threat. In an evaluation involving both biology experts and students, we found that GPT-4 provides at most a mild uplift in biological threat creation accuracy. While this uplift is not large enough to be conclusive, our finding is a starting point for continued research and community deliberation.
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Having Fun with Ai

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15 hours ago

Datasets for Training a Language Model

A good language model should learn correct language usage, free of biases and errors.

15 hours ago

Everyone can now fly their own drone.

TL;DR Using Google’s new Veo 3.1 video model, we created a breathtaking 1 minute 40…

15 hours ago

CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching

Conditional generative modeling aims to learn a conditional data distribution from samples containing data-condition pairs.…

15 hours ago

Announcing BigQuery-managed AI functions for better SQL

For decades, SQL has been the universal language for data analysis, offering access to analytics…

15 hours ago