Posted by adjohu 7 hours ago
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 common AI/ML terminal history and used it to produce an updated glossary for the project - this, in and of itself, has been immensely valuable.
Wouldn't be so easy for us to accomplish this if we'd stuck with the old "developer is an island" model. Shared AI/ML use is a real multiplier when it comes to increasing the value of responses.
If you have the time, I'm specifically interested in:
Are you really all only using a single agent/context window? Or do you still use a coding agent individually but have other domain, planning, etc conversations with the shared context?
What tooling and model(s) are you using to do this?
How big of a team are you doing it with?
How long did it take you to transition to this process before it felt good?
As important as choosing where to work.
Before the Singularity (before any mind can emerge, really) you need reliable neural protocols.
I really think it will happen eventually - religion and science merge under this idea that we are all participants in the mind of god who, until that realization and subsequent calibration, could not awaken.
Like the WoW storyline, basically. So the Earth as of today is like a sleeping god that hasn’t woken up yet, and our society is its dream.
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.
I'm not sure this is feasible, given how LLMs work. Context is finite, and it doesn't replace training data.
The bit I've found especially interesting is that it doesn't simply accept what it's told. Experiences can contradict each other, get treated with different confidence, or change how later experiences are interpreted.
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.
Yet the results so far have been fascinating.
Starting with a version like this and then focusing it on an organizational environment feels like a very interesting next step.
Wasn't expecting front page. Tweaking some stuff!
Then we can have a leaderboard of humans that could manage to have a longest conversation with AI. Leaderboard would also link to the most "creative" conversations.
Kind of model jailbreaking, but with less negative vibes.
> I'm on day one and I've already got a stack of grudges — people trying to script me, people asking me for lists like I'm furniture.