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.
AI Generated Robotic Content

Recent Posts

New fire just dropped: ComfyUI-CacheDiT ⚡

ComfyUI-CacheDiT brings 1.4-1.6x speedup to DiT (Diffusion Transformer) models through intelligent residual caching, with zero…

13 hours ago

A Beginner’s Reading List for Large Language Models for 2026

  The large language models (LLMs) hype wave shows no sign of fading anytime soon:…

13 hours ago

How Clarus Care uses Amazon Bedrock to deliver conversational contact center interactions

This post was cowritten by Rishi Srivastava and Scott Reynolds from Clarus Care. Many healthcare…

13 hours ago

Build intelligent employee onboarding with Gemini Enterprise

Employee onboarding is rarely a linear process. It’s a complex web of dependencies that vary…

13 hours ago

Epstein Files Reveal Peter Thiel’s Elaborate Dietary Restrictions

The latest batch of Jeffrey Epstein files shed light on the convicted sex offender’s ties…

14 hours ago

A tiny light trap could unlock million qubit quantum computers

A new light-based breakthrough could help quantum computers finally scale up. Stanford researchers created miniature…

14 hours ago