
Imagine you inherit a warehouse of filing cabinets from a genius inventor, but every document is written in a code only six people on Earth can read, and the pages cross-reference each other in ways no single human can hold in working memory. You could spend a career opening drawers one at a time, or you could build a machine that reads all the drawers at once and maps the connections. That's what just happened to Kurt Gödel's unpublished notebooks. Jan von Plato, a Finnish logician at Helsinki University, has spent since 2017 — backed by a €2.5 million European Research Council grant — leading a team to decode 16 workbooks Gödel filled in the early 1940s. The 1,009 pages are written in Gabelsberger, a German shorthand system already obsolete when Gödel used it. Von Plato is one of six people alive who can read it. Progress was roughly a page per week until September 2024, when von Plato fed his transcriptions and six of his own books on Gödel into Claude. Within two days, the model returned a 650-page digest of the entire corpus. The headline finding: Gödel proved far more than anyone knew. Claude identified 663 theorems for which Gödel had a proof, a sketch, or an idea. When these were run through the proof assistant Coq, approximately 400 verified as stated, about 200 required minor repairs (tighter definitions, added assumptions), and roughly 50 were false — consistent with Gödel's own marginal notes of "falsch!" and "schlecht!" The workbooks contain dozens of results that anticipate discoveries not published until the 1970s and 80s, plus 14 themes in logic and foundations of mathematics that remain unexplored 80-plus years later. The most dramatic claim concerns the independence of the axiom of choice. Paul Cohen won the 1966 Fields Medal for proving this independence. Gödel reportedly told colleagues he had already proved it in the 1940s but couldn't reconstruct the proof from his notes when pressed. Claude's reconstruction says he was one definition away — he had the correct definition two years earlier in the same notebooks but used an incorrect one at the critical step. Von Plato ran the reconstructed proof through Coq and reports it passed. He believes Gödel would have won the 1940 Fields Medal had he published. The methodological core here is not the AI "doing mathematics." Claude didn't prove new theorems. It performed large-scale cross-referencing and synthesis across a thousand pages of technical material — the kind of integrative reading that exceeds human working memory. Von Plato is explicit: "Humans read one page at a time and we tend to forget things. The AI can connect all the pieces in a thousand pages." This is corpus comprehension at scale, not theorem generation. The verification layer — Coq — is doing the actual mathematical gatekeeping. Joel David Hamkins of Notre Dame offers the appropriate caution: resembling a proof path is not the same as having it. "You don't get credit for work you don't tell anyone about," he notes. The question of how much is Claude's reconstruction versus Gödel's actual reasoning is genuinely open and will require careful historical adjudication. But Hamkins also concedes that given Gödel's track record, "it is maybe not surprising that his notebooks are full of exciting things." Von Plato plans to extend the approach to Gödel's physics and cosmology notebooks, which remain unexplored territory. The broader implication is clear: AI-assisted corpus analysis could unlock similar discoveries across the unpublished archives of other major thinkers — wherever dense, cross-referencing technical manuscripts exceed a single scholar's integrative capacity.
The analogy
Imagine you have a thousand-piece jigsaw puzzle, but the pieces are spread across 16 boxes and the picture on the box lid is missing. A human can work one box at a time, holding maybe 50 pieces in memory. The AI dumps all 16 boxes on the table simultaneously and pattern-matches across the full set — not creating new pieces, but showing which existing pieces connect. The proof assistant (Coq) then checks whether the assembled picture is actually coherent.
Jigsaw assembler
Cross-referencing fragments across 16 boxes simultaneously, finding connections no single human working memory can hold
Claude on Gödel
Cross-referencing 1,009 pages of shorthand notebooks simultaneously, surfacing theorem connections across the full corpus
Honest assessment
This is a genuinely interesting demonstration of LLMs as corpus-comprehension tools for historical scholarship, not a claim about AI doing mathematics. The Coq verification layer is the load-bearing element — without it, Claude's synthesis would be unverifiable interpretation. The single-expert bottleneck (von Plato controls the transcriptions, is one of six Gabelsberger readers, and is the sole reviewer of Claude's output) is the main vulnerability. The 663-theorem count and the axiom-of-choice reconstruction are exciting but provisional until independent experts weigh in. Anyone interested in AI-assisted scholarship, history of mathematics, or the Gödel legacy should pay attention, but should calibrate confidence to 'promising and plausible' rather than 'confirmed.'
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What is this paper actually committing to?
Novel application, not novel method. First demonstration that an LLM can synthesize a thousand-page encoded mathematical corpus and surface verifiable theorems at scale. Category: applied AI for history of science.
The field fight
Can LLMs do genuine mathematical reasoning, or are they pattern-matching engines useful only for synthesis and retrieval?
Side A
LLMs are approaching real mathematical reasoning; frontier models can prove and discover theorems
Held by: DeepMind AlphaProof, OpenAI o-series, some formal-methods researchers
Side B
LLMs are powerful synthesis and retrieval tools but cannot do real mathematics without formal verification backends
Held by: Terence Tao (nuanced), most proof-assistant community, this project
Milestone tracker
Unlocks: Validated method for AI-assisted corpus analysis of unpublished mathematical archives worldwide
Current
663
theorems
surfaced by Claude + Coq
Next
1
peer-reviewed paper
axiom of choice proof published
Months to ~1 year, pending independent expert review
Verified Facts (16)
Kurt Gödel's two incompleteness theorems were published in 1931
Jan von Plato has led the project at Helsinki University since 2017
The workbooks comprise 16 notebooks totaling 1,009 pages
Written in Gabelsberger, a German shorthand obsolete even when Gödel used it
Von Plato received a €2.5m (£2.1m) grant from the European Research Council
Von Plato is one of only six people who can read Gabelsberger
Claude produced a 650-page explanation of the workbooks in approximately two days
Claude found 663 theorems with proofs, sketches, or ideas
About 400 verified in Coq as stated, about 200 were repaired, about 50 were false
Paul Cohen won the 1966 Fields Medal for showing the independence of the continuum hypothesis and the axiom of choice
Gödel claimed he had already proved the independence result in the 1940s
Gödel fled Austria under the Nazis in 1940 and settled in Princeton
Gödel became a close friend of Albert Einstein at the Institute for Advanced Study
Gödel died of starvation in 1978
Joel David Hamkins is a professor of logic at the University of Notre Dame
The workbooks contain 14 themes in logic that have not been pursued
Practical Implications (4)
LLMs can serve as integrative reading tools for large, cross-referencing technical corpora that exceed human working memory — applicable to any archive with similar structure
The method requires a human transcription step (Gabelsberger to readable text) before the LLM can work — the bottleneck shifts from reading to transcription and verification
Formal proof assistants like Coq can serve as an independent verification backend for AI-synthesized mathematical content, creating a two-layer pipeline: LLM for synthesis, formal system for correctness
Other unpublished mathematical archives (Ramanujan, Gauss, Euler) could yield similar discoveries using this approach, if transcription resources exist
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