VQV Signal
According to a post on X by @alexbellos, linking to a Guardian story by Alex Bellos, a Helsinki project had been working through Kurt Gödel's 1,009 pages of obsolete German shorthand at about a page a week. The project used Claude to produce a digest of the whole material in a couple of days. The story says the digest showed Gödel proved hundreds of theorems that no one knew about. The work had stalled for years before this.
According to a post on X by @alexbellos, linking to a Guardian story by Alex Bellos, a Helsinki project had been working through Kurt Gödel's 1,009 pages of obsolete German shorthand at about a page a week. The project used Claude to produce a digest of the whole material in a couple of days. The story says the digest showed Gödel proved hundreds of theorems that no one knew about. The work had stalled for years before this.
AI-assisted summary based on the listed source.
Alex Bellos’ Guardian story says a Helsinki project that had crawled at about a page a week through Kurt Gödel’s 1,009 pages of obsolete German shorthand used Claude to produce a digest of the whole material in a couple of days, showing Gödel proved hundreds of theorems no one knew about. It is a concrete case of...
For researchers working with hard-to-read archives, this case suggests AI can speed up decoding and summarising material that is slow to work through by hand. Historians and archivists may watch whether similar projects report comparable results. The source describes a single case, so it does not show how common such outcomes will be.
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
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VQV surfaced this signal because it is recent, relevant to Consumer AI, connected to Scobleizer News Pulse (X).
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