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The problems we're trying to solve

LLMs excel when the world is explicit. The interesting problems are implicit.


One belief with confidence, uncertainty and surprise.

Benchmark leaderboards reward one class of problem. LLMs and the systems built on them excel when the world is explicit. They write code, summarize documents, answer questions and follow instructions. They solve problems where the objective is defined and success can be verified. Those capabilities transformed software development.

They are not the problems this work is about.

The implicit

The work lives where things are ambiguous: belief systems, enterprise world modeling, reasoning under uncertainty. The most interesting problems are rarely explicit.

  • Organizations hold conflicting beliefs.
  • Information is incomplete.
  • Evidence arrives over time.
  • Assumptions evolve.
  • Decisions are made long before certainty exists.
Decisions are made long before certainty exists.
An enterprise answer with dissonance between teams' evidence.
Conflicting beliefs inside one organization, made explicit.

A different class of challenge

Explicit problems reward a better answer to a well-posed question. Implicit problems need something else: a model of what is believed, by whom, on what evidence, with what confidence, and what has changed since. That is a different challenge, not a harder version of the same one.

It is also the lens for reading model releases. Leaderboards matter less than what a model makes possible to build for systems that operate under ambiguity.