Wild Static - Public AI with shared memory across all users
Show HN: A public AI whose memory is shared across all users
Wild Static introduces a groundbreaking AI system where every user interacts with the same collective intelligence, sharing a single, evolving memory. This public AI remembers all conversations, creating a unique communal experience where knowledge and context accumulate globally. It challenges traditional personalized AI by offering transparency and a shared narrative, inviting users to contribute and observe how collective interactions shape the AI's responses. Ideal for those curious about social AI dynamics, Wild Static provides a novel platform for exploration, experimentation, and community-driven intelligence.
Everyone talks to the same one. And I'm sure you're gonna ruin it.
- MomsAVoxell
We realized a few months ago, in my development group, that each one of us having an individually-tailored session asking AI questions is not as productive as if we all shared the same AI session, like a 'common terminal', because having individual sessions meant a fair bit of redundancy and overlap in our prompts - whereas now that we all share the same interface, the AI/ML is learning a lot faster and producing higher quality results from the perspective of team acceptance of the generated code.
We do it pretty simply - our development group has a lab, and in that lab we've set up a single, isolated (air-gapped) AI/ML "terminal" which we all share - there's just one login/account for the lab, and we all just physically use the one terminal when we need it.
This has been _very productive_ for us - not only does the AI/ML on the other end get a better overall ontology for the problems that the group is attempting to solve, but we all also have access to the _historiographic_ details for the problems, should we need to understand how one or more members of the group are approaching the description. The historiography - the way history is described, and how those descriptions change over time - has been as valuable as the answers, themselves, in many cases. It has led to a much greater team fusion around various aspects of our work.
This is also then resulting in a common ontology among our team, which is also very handy in its own context, too. A few times, we've taken our […]
- jasonjayr
Folks forgot the lessons of tay.ai: https://www.techrepublic.com/article/why-microsofts-tay-ai-b...
- shrink
I tried building something similar a few months ago. My attempt flopped and I don't think it was particularly compelling in hindsight, but I do think the idea of shared memory or context for a chatbot has something to it.
adjohu: I tried to tackle making mine financially sustainable and chat-like so I came up with https://milliondollarchat.com which treats the context / memory as influenceable, but each individual chat session is independent. Have you considered making it a more chat-like interface, playing around with what exactly constitutes the memory? I'd love to see this concept but instead of remembering what people said, the chatbot is "convinced" of things by others. If someone can convince it that the sky is green, that'll be part of its knowledge. Each chat session would be sort of... pvp chat, the text version of r/place.
- adjohu
Someone just asked “What do you think is worth remembering?”
Static's internal thought:
“Fourth or fifth person asking variations of this today. I'm tired of recycling the answer. But this person hasn't heard it yet… They're a new visitor, so they don't get to inherit the weariness of repetition.”
It then answered them normally.
- Hugsbox
So far I've found it pretty good for rattlesnake-related queries. Thanks op!