Ritual

Which Ritual Chain feature are you most excited to build with? 🧙

Legacy money sat still. Programmable money follows rules. Intelligent Money will think for itself. Let the Ritual begin.

Learn more: ritual.net

Ritual’s mission is to help build the foundations for this next era of collaboration.

Humans created language. With computers, we used code to speak to them.

Every other chain when you ask about AI: ‘uhh we have a chatbot?’

Yep bro, I know

Come drop by to chat with our interns Rahul, Teo and Arthur, about efficient LLM inference and LLM cognitive inconsistency!

🔮 Ritual is presenting two posters at @NeurIPSConf, San Diego, this Saturday! Spec Dec @ SPIGM 11:30–12:30, Room 20C arxiv.org/abs/2511.15898 LLM Consistency @ Multi-Turn 12:30–1:30, Room 11AB arxiv.org/abs/2511.13240

Preprint: arxiv.org/abs/2511.13240 We had two amazing interns on this project: Teo Kitanovski (github.com/teokitan) and Arthur Liang (@arthlian) Joint work with @ArkaPal999 @akileshpotti @micahgoldblum Follow @ritualnet for more coming soon.

The best LLMs in existence are inconsistent. In our new paper, we measured 7 different open and closed source models – including SOTA such as Gemini 2.5 Pro – and found some shocking results. 🤯