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

[Update] ComfyUI VACE Video Joiner v2.5 – Seamless loops, reduced RAM usage on assembly

Github | CivitAI Point this workflow at a directory of clips and it will automatically…

14 hours ago

Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting

Existing feed-forward 3D Gaussian Splatting methods predict pixel-aligned primitives, leading to a quadratic growth in…

14 hours ago

What Is the Best Garmin Watch Right Now? (2026)

We tested Garmin’s GPS-enabled fitness trackers and found the perfect picks for casual hikers, backcountry…

15 hours ago

Human creativity still resists automation: Artists rank highest, with unguided AI coming in last

New research confirms it: the creativity of artificial intelligence (AI) is a myth. Although current…

15 hours ago

Google’s new AI algorithm reduces memory 6x and increases speed 8x

https://arstechnica.com/ai/2026/03/google-says-new-turboquant-compression-can-lower-ai-memory-usage-without-sacrificing-quality/ submitted by /u/pheonis2 [link] [comments]

2 days ago

LlamaAgents Builder: From Prompt to Deployed AI Agent in Minutes

Creating an AI agent for tasks like analyzing and processing documents autonomously used to require…

2 days ago