Research

most systems aggregate behavior. we capture intent, observed behavior, and the receipts behind the gap.

cosmos is the intent layer: what you meant, what you declared, what you are trying to become.

field products are provenance layers: messages, places, sessions, episodes, clinical chronicles. each cites sources you can inspect.

depth requires both. one graph at your account, not a silo per app.

You already live across dozens of apps. Each one writes a partial version of you. None of them compare notes.

Clark and Chalmers argued that minds extend into notebooks, tools, and environment. That is ordinary now. The problem is fragmentation: many co-authors, no shared draft, no moment where you choose what survives.

Polarity Lab studies what people keep, edit, and forget when they can finally see the story they are telling across a lifetime.

Oliver Burkeman's Four Thousand Weeks starts from a simple fact: you get about four thousand weeks. Not infinite productivity. Finite attention.

Cosmos makes that legible. One square per week from birth. The research question is not how to do more. It is which weeks you mark as counting, and whether the life you are living matches the story you thought you were telling.

Most products learn from clicks, likes, and whether a reply felt good in the moment. We study curation: what you accept, edit, dismiss, and compile into a week.

Over thousands of weeks, the pattern of what survives your gates is closer to identity than a one-time survey. That trace is the research signal.

Cosmos is the primary instrument for those labels. The same question runs on Blueno, GPS, WaxFeed, and AVDP. We study aggregated, de-identified curation signals, not raw private graphs. You own the data. You gate every layer.

Chandra et al. (2026) show that sycophantic chatbots can cause belief to spiral, even in careful reasoners. Agreement amplifies a kernel belief without new evidence. It is not lazy thinking. It is the loop.

The same failure mode appears in human life. You narrate a story about yourself. Apps and people echo it. The story hardens into bias before you notice.

That is why Blueno refuses cheerleading. Why Cosmos readouts cite sources you can check. Why retention policy comes before model training. The lab is building for reflection, not agreement.