We've been seeing if the latest versions of LLMs are any better at geolocating and chronolocating images, and they've improved dramatically since we last tested them in 2023. [...]
Before anyone worries about it taking our job, I see it more as the difference between a hand whisk and an electric whisk, just the same job done quicker, and either way you've got to check if your peaks are stiff at the end of it.
— Eliot Higgins, Bellingcat
Recent articles
- Building software on top of Large Language Models - 15th May 2025
- Trying out llama.cpp's new vision support - 10th May 2025
- Saying "hi" to Microsoft's Phi-4-reasoning - 6th May 2025