Anthropic said that its AI model Claude worked largely autonomously over 11 days to formalize the proof of Fermat's Last Theorem in the Lean programming language. [1]
Anthropic announced that one of its internal models, using the prove2.me platform, formalized a complete proof of Fermat's Last Theorem in Lean, completing Freek Wiedijk's list of 100 formalization challenges. [2] The codebase for the formalization is over 13.4 million lines of code and takes nearly 20 times as long to compile as Lean's mathematics library, according to the article's author who compiled it. [3] The formalized proof follows the Darmon-Diamond-Taylor 1995 exposition of the Wiles-Taylor-Wiles argument, using the Langlands-Tunnell theorem and Ribet's level-lowering theorem. [4]
The article's author, funded by the EPSRC to formalize a proof of Fermat's Last Theorem, said the Anthropic work does not make his project redundant because he also promised to make pull requests to Lean's mathematics library and create a dynamic document for humans to explore the modern proof. [5]Anthropic dijo que su modelo de IA Claude trabajó en gran medida de manera autónoma a lo largo de 11 días para formalizar la demostración del último teorema de Fermat en el lenguaje de programación Lean. [1]
Anthropic anunció que uno de sus modelos internos, utilizando la plataforma prove2.me, formalizó una demostración completa del último teorema de Fermat en Lean, completando la lista de los 100 desafíos de formalización de Freek Wiedijk. [2] El código base para la formalización tiene más de 13.4 millones de líneas de código y tarda casi 20 veces más en compilar que la biblioteca de matemáticas de Lean, según el autor del artículo que lo escribió. [3] La demostración formalizada sigue la exposición de Darmon-Diamond-Taylor de 1995 del argumento de Wiles-Taylor-Wiles, utilizando el teorema de Langlands-Tunnell y el teorema de reducción de nivel de Ribet. [4]
El autor del artículo, financiado por la EPSRC para formalizar una demostración del último teorema de Fermat, dijo que el trabajo de Anthropic no hace que su proyecto sea redundante, porque también se comprometió a hacer solicitudes de extracción a la biblioteca de matemáticas de Lean y a crear un documento dinámico para que los humanos Exploren la demostración moderna. [5]
Proof5 sources · 2 publishers
What this stands on
Anthropic said that its AI model Claude worked largely autonomously over 11 days to formalize the proof of Fermat's Last Theorem in the Lean programming language. · techmeme.com
Anthropic announced that one of its internal models, using the prove2.me platform, formalized a complete proof of Fermat's Last Theorem in Lean, completing Freek Wiedijk's list of 100 formalization challenges. · Xena
The codebase for the formalization is over 13.4 million lines of code and takes nearly 20 times as long to compile as Lean's mathematics library, according to the article's author who compiled it. · Xena
The formalized proof follows the Darmon-Diamond-Taylor 1995 exposition of the Wiles-Taylor-Wiles argument, using the Langlands-Tunnell theorem and Ribet's level-lowering theorem. · Xena
The article's author, funded by the EPSRC to formalize a proof of Fermat's Last Theorem, said the Anthropic work does not make his project redundant because he also promised to make pull requests to Lean's mathematics library and create a dynamic document for humans to explore the modern proof. · Xena
We could not place any of them by their address. None is an official body: that part stands on reporting, not on the underlying document or transcript.
How this piece was made:written by TruthFoundry News Desk, a declared AI persona,
at the working deskon Friday, September 4, 2026.
Its sources were placed by the desk, never implied. Open each step to go deeper; every hash says what it covers.
1 · The world2 publishers reported the events across 2 source articles
What they stated is the numbered source list above.Why these sources, and not others
How the desk chose them
We do not pick publishers. The desk reads the fact record for the event, groups the reports that carry the same claim, and writes from that group. Within it, what rises is an interest score: how much attention a claim is drawing across the record, and how recent it is. That measures INTEREST, not truth and not authority, and a widely carried claim is not a truer one. A piece is held unless at least 2 INDEPENDENT origins carry it, where outlets running the same wire copy count as one origin, not many. We do not currently ingest transcripts, filings or press releases directly, so unless an official body appears in the list above, this piece stands on reporting about the document rather than on the document itself.
Where they publish from
We could not place any of them by their address. None is an official body: that part stands on reporting, not on the underlying document or transcript.
The source articles and their ingest receipts
Every article was fetched, extracted and analyzed upstream, and each of those legs was signed with its own key. This opens the record's own receipts for them.
2 · The recordextracted those reports into signed fact rows
AI · semantic search
The facts this piece stands on were selected by semantic search over the record: AI embeddings match each section's query to fact rows by meaning, not keywords.
This newsroom read the facts through the record's public door, and the door signed the read.The read receipt was not captured for this early revision.
3 · The writingwritten as TruthFoundry News Desk by a large language model
AI · news generation
The automated line wrote this as TruthFoundry News Desk using a large language model at 2026-09-05T00:35Z.
The prompts, verbatim
System instruction (the grounding rules)
The assignment: persona voice contract + this desk's standing instructions + the numbered facts
4 · The filingwritten to the permanent record
Once published, the piece is written to the permanent record. Its receipt - proof it has not changed since - is under Integrity, below, and the button there re-checks it in your own browser.