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EvolutionaryScale's ESM3 announcement (dated 25 June 2024) states that biology is written in a language not yet understood, and that learning to read and write in the code of life would make biology programmable. Copy claim link
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Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: primary · 1 source
Date 2024-06-25 · announcement Records dated 2024 → Role Articulation Register (kind of text) Nonfiction Scope of the passage Conditional, in a company's announcement of its own model. Scope and limits The record documents what this text states, in its register; it is not evidence that the proposition is true and implies no influence on or from any other text. A company's statement introducing itself and its model; conditional ("If we could").
The evidence 02 primary source Supports the claim
ESM3: Simulating 500 million years of evolution with a language model ↗ EvolutionaryScale · 2024-06-25
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Source excerpt “If we could learn to read and write in the code of life it would make biology programmable. Trial and error would be replaced by logic, and painstaking experiments by simulation.” Location in source Opening section
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors EvolutionaryScale Version Retrieved for the candidate pack on 2026-10-30 (SHA-256 ba2099c4859e8a93fe926a43096fbf312f486e94352167322739329a812de489). Post dated 6.25.24 with a January 2025 update note, page as served on 2026-10-30. The page as served in 2026 carries a Tom Sercu byline that the capture of 26 June 2024 lacks; the cross-family check of 2026-10-30 found the date 25 June 2024 in that capture, without the byline, so the author is given as the company. Its wording can change; earlier wording is not authenticated. Canonical address Open the canonical source ↗ Accessed 2026-10-30 Language English (en) Attribution EvolutionaryScale, “ESM3: Simulating 500 million years of evolution with a language model”, 2024-06-25. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (31 words) matched the text retrieved for the candidate pack on 2026-10-30. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. The company is the primary source for its own statement. A cross-family machine check (2026-10-30, item B115) re-read the record’s sources and found full support. No human editorial review. primary source Supports the claim
ESM3: Simulating 500 million years of evolution with a language model ↗ EvolutionaryScale · 2024-06-25
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Cite the original source Cite the original document, not Selekoa. Check these details against it.
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Source excerpt “ESM3—a frontier language model for the life sciences that advances our ability to program and create with the code of life.” Location in source Opening section
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors EvolutionaryScale Version Retrieved for the candidate pack on 2026-10-30 (SHA-256 ba2099c4859e8a93fe926a43096fbf312f486e94352167322739329a812de489). Post dated 6.25.24 with a January 2025 update note, page as served on 2026-10-30. The page as served in 2026 carries a Tom Sercu byline that the capture of 26 June 2024 lacks; the cross-family check of 2026-10-30 found the date 25 June 2024 in that capture, without the byline, so the author is given as the company. Its wording can change; earlier wording is not authenticated. Canonical address Open the canonical source ↗ Accessed 2026-10-30 Language English (en) Attribution EvolutionaryScale, “ESM3: Simulating 500 million years of evolution with a language model”, 2024-06-25. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (21 words) matched the text retrieved for the candidate pack on 2026-10-30. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. Names the model as the means. A cross-family machine check (2026-10-30, item B115) re-read the record’s sources and found full support. No human editorial review. Status and meaning Editorial status. Not reviewed by an editor . An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.
Relation. A passage of the document meets the proposition’s criterion. The record documents what the text states, in its register (fiction and satire are labelled); it is not evidence that the proposition is true and implies no influence on or from another text.
Date. Date printed on the post; the wording is attested in the copy served on 2026-10-30.
Record ID aib-arg-p5-esm3-2024