Researcher
Explore an open question: formalization, recognition, representation, memory, analogy, evaluation.
You don’t have to agree with the Situational AI hypothesis to participate. We are looking for people willing to build it, test it, challenge it and discover its limits.
Explore an open question: formalization, recognition, representation, memory, analogy, evaluation.
Academic collaboration, or student research you would supervise or co-supervise.
Take on a research problem for a semester, a summer, or a thesis.
Build recognition, memory, representation or evaluation systems, and publish what worked and what didn’t.
Bring a difficult real-world AI problem where conditions change and recognizing the situation is the hard part.
Contribute infrastructure, compute, hardware or engineering time.
Support student research, experiments or gatherings.
Some of the most important research questions emerge from real operational environments. Organizations can collaborate with Mindspace AI and Situational AI researchers around problems involving changing conditions, situation recognition, memory, coordination and intelligent response.
A relationship going quiet before anyone has called it a problem.
A process that is still “running” while the situation it serves has changed.
Signals that only mean something together, and only for a particular observer.
The same words carrying a different situation than they did last week.
Knowing when to act, ask, wait, or hand off to a person.
One event, several observers, several situations at once.
Research or academic collaboration, student research, engineering, an industry problem, a technology contribution, research support, a gathering, or plain curiosity.
Thank you. Your message is in, and we read every one. You’ll hear back from a person, not an autoresponder.
New essays, experiments, research questions, student work and gatherings. No marketing.
You’re following. We’ll write when there is something worth reading.