Modern AI (LLMs like GPT, Claude, etc.) was NOT heavily used for the core work.
Is another search-driven formal challenge. It is similar because it targets the smallest programs with extreme behavior, but the Fokker challenge has fewer unsolved cases in its current search space and is more immediately approachable with AI-guided reasoning.
Similar: all these projects are about combining formal methods with search, exploring the boundary of what can be proven automatically, and managing a tight space of candidate structures. We will all make extensive use of AI.
Less unsolved cases: the current Fokker challenge scope is bounded by small Fokker size and a finite set of candidate terms. That makes it more tractable than broad open problems such as general equational theories or the full busy beaver landscape.
More difficult work: the hard part here is not just brute force, but recognizing patterns in lambda terms and developing new deciders. This means the project benefits from AI that can synthesize structural insights, not only compute exhaustively.
More previous papers: We are currently still assimilating the achievements of our predecessors and formalizing them.
Decidability In bbchallenge, based on current mathematical knowledge, some TMs are impossible to determine halting. But in Fokker challenge, we believe every term is decidable.