Colin Snyder shipped Star Fleet Math — a Mac desktop app that runs up to 20 parallel math agents ("starships"), each on its own 60-vCPU server with GPT-5.6 via Codex, Lean 4 verification, Claude Fable review, and Ton 618 — a local premise graph where verified lemmas compound.
By July 15, 2026, the dashboard showed 27 Erdős problems as Solution Proposed, 623 untested, and 0 Frontier Math or Millennium claims closed. A Hacker News thread (92 points, title: Solving 20 Erdős Problems with 20 Codex Accounts Running in Parallel) split praise for the harness engineering from skepticism about readability, cost, and what "solved" means.
explainx.ai maps architecture, verification chain, and how this fits next to Leanstral, Erdős #728, and the formal-math agent wave.
Largest Lean 4 premise corpus Colin cites · gemini-embeddings-2 + Chroma English search
Literature
Firecrawl index of arXiv + GitHub
Review
Claude Fable proof-verifier harness
Human gate
iMessage API to Colin after Fable approval
Compounding
Ton 618 — every verified theorem/lemma woven into a dependency graph
explainx.ai read: This is meta-harness design — the Mac app is a fleet commander; heavy lifting lives in remote sandboxes and API models. That matches how GPT-5.6 Sol coding agents use Codex for execution while local UI coordinates sessions — here scaled to 20 math problems at once.
The 27 "Solution Proposed" — what that label means
starfleetmath.com groups problems into Solution Proposed, Untested, and solved counts for Frontier Math / Millennium tiers.
Solution Proposed (27) includes Erdős #123, #129, #130, #254, #267, #320, #321, #336, #394, #415, #450, #489, #521, #522, #538, #584, #638, #662, #709, #769, #793, #796, #959, #1183, #1186, #1188, #1189 — each with a Lean-linked writeup on the site.
Colin's team avoided problems with informal partial answers already online — a deliberate filter against literature regurgitation.
Claim level
What it implies
Solution Proposed
Lean + Fable pipeline accepted a candidate
Erdős wiki 🟢
Community / Terence Tao tracker treats as resolved
Peer review
Independent mathematicians validate novelty and correctness
Aristotle + GPT-5.2 Pro reached wiki full solution on #728 (Jan 2026) with a published arXiv writeup. Star Fleet's batch is volume + parallelism — acceptance requires the same external refereeing, not only formal syntax.
Hacker News — harness vs human proof
vessenes (HN, ~3h): praised Lean corpus, vCPU sharding, embedding search — but said Fable proof summaries read like opaque technical walls vs the Cycle Double Cover leak's more human-readable narrative. Lean 4 bytecode remains the compelling artifact; distillation into teachable technique is still hard.
Other threads:
Topic
HN take
Cost
20 × 60-vCPU dedicated servers — Colin: self-funded; not Xinobi AI employer project
GPT-5.6 local?
API/Codex, not self-hosted weights
Open source?
Asked; no public repo yet
Millennium overnight?
Joked — Colin's scope is Erdős catalog, not Clay prizes
Fun vs jobs
Split: conjecture + referee stay human vs proof search automates
Colin replied he will work on more human-readable writeups — acknowledging the artifact / exposition gap formal AI keeps hitting.
Star Fleet optimizes orchestration and memory compounding — not a single frontier model drop. Whether Ton 618 beats raw model scale depends on how many proposals survive human + wiki scrutiny.
Practical takeaways for builders
Parallelize problems, not tokens within one proof — Colin's 20 Codex accounts map cleanly to 20 Erdős IDs; intra-proof search uses vCPU/GPU bursts inside each starship.
Verifier stack matters — Lean 4 ground truth + Fable harness + human iMessage is a three-layer trust ladder; skip any layer and "Solution Proposed" deflates.
Memory graph > chat history — Ton 618 naming aside, dependency-linked lemmas are how formal systems compound — same design pressure as agent memory graphs in coding agents.
Budget reality — Self-funded 20-server parallelism is not a hobby GPU; compare to running SOTA locally economics before copying the fleet model.
Read the Lean, not the summary — HN's critique applies to any Fable-written exposition; treat summaries as pointers, proofs as evidence.
Summary
Star Fleet Math (July 2026) is Colin Snyder's Mac fleet orchestrator: 20 GPT-5.6 Codex starships, Lean 4 + SAT/SMT/CAS sandboxes, embedding search over a large premise corpus, Fable verification, and Ton 618 compounding memory — yielding 27 Erdős Solution Proposed entries on starfleetmath.com. Hacker News celebrated the harness while questioning proof writeups, cost, and resolution status. Solution Proposed ≠ community accepted; compare to #728 and Leanstral for how formal artifacts graduate to recognized math.