AI system
- System
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GPT-5.5 Pro, with Aristotle used for Lean autoformalisation
- Model
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Not assessed
- Release
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Exact release not established.
- Application developer
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OpenAI (GPT-5.5 Pro); Aristotle (developer not named in the cited sources) - Role
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GPT-5.5 Pro generated a proof, and Aristotle converted it into Lean for verification.
- Configuration
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The reported configuration was GPT-5.5 Pro.
- Inputs and outputs
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Not assessed
- Autonomy
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Not assessed
- Workflow
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A user prompting GPT-5.5 Pro with the problem statement. Human cleanup of the written proof. Independent human check and Lean autoformalization by Aristotle. Acceptance by the site maintainer.
- Human oversight
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Not assessed
- Relation to AI
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The model produced the proof after a human prompt. Humans cleaned up the write-up and checked it, and the maintainer accepted it. A separate AI system (Aristotle) produced the Lean formalization that a human confirmed matches the paper. Tao's wiki classifies the case as AI standalone with non-significant human involvement. The attribution of GPT-5.5 Pro to OpenAI rests on the chatgpt.com share link in gebyjaff's forum post. No cited source names OpenAI in prose. The cited sources do not name Aristotle's developer.
- AI contribution
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The model produced the proof after a human prompt. Humans cleaned up the write-up and checked it, and the maintainer accepted it. A separate AI system (Aristotle) produced the Lean formalization that a human confirmed matches the paper. Tao's wiki classifies the case as AI standalone with non-significant human involvement. The attribution of GPT-5.5 Pro to OpenAI rests on the chatgpt.com share link in gebyjaff's forum post. No cited source names OpenAI in prose. The cited sources do not name Aristotle's developer.
Benefits
- Outcome identifiers
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Not assessed
- Benefit
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GPT-5.5 Pro solved Erdős problem #38; human-checked 26 April 2026, Lean-formalized by Aristotle 1 May, recorded as solved on erdosproblems.com
- Category
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Improved Knowledge Discovery
- Status
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Not assessed
- Beneficiary groups
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Organizations. Society.
- Beneficiaries
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Not assessed
- Reach
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Not assessed
- Distribution and access
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Not assessed
- Duration
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Not assessed
- Expected?
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Yes
- Costs and harms
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Not assessed
Measurement
- Studies
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Not assessed
- Study design
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Not assessed
- Measurement
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Not assessed
- Setting and sample
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Not assessed
- Measures
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Not assessed
- Comparison
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Not assessed
- Results
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Not assessed
- Additional value from AI
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Not assessed
- Limitations
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Not assessed
- Denominators
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Not assessed
- Materials for replication
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Not assessed
Money
- Kind of value
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Not assessed
- Amount
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Not assessed
- Currency and prices
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Not assessed
- Period and unit
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Not assessed
- Realization
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Not assessed
- Recipients and payers
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Not assessed
- Gross or net
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Not assessed
- Included costs
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Not assessed
- Comparison
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Not assessed
- Method
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Not assessed
- Return and payback
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Not assessed
People and places
- Participants
-
Developer:
OpenAI (GPT-5.5 Pro); Aristotle (developer not named in the cited sources). Operator: Individual user (gebyjaff) posting on erdosproblems.com. - Jurisdictions
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Developer:
United States. - Ownership and control
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Not assessed
- Dependencies
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Not assessed
- Cross-border connections
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Not assessed
- Geopolitical implications
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Not assessed
Follow-up
- Conditions for replication
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The problem has a precise, formalized statement. The proof is checkable by humans or in Lean. A community venue reviews and records AI-produced solutions.
- Replication attempts
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2 follow-up entries. Benefit recurred: 2.
- Later findings
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1 May 2026. Six days after the solution was posted, the Aristotle system autoformalized the argument in Lean and a forum checker confirmed that the formalization matches the write-up; Thomas Bloom added an alternative sketch the next day, and Tao's wiki (data to 30 June 2026) lists the problem as a full AI solution.
- Availability
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Not assessed
- Institutional decision
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Not assessed
- Grounds
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Not assessed
- Action and result
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Not assessed
- Success criterion
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Not assessed
Evidence
- Source numbers
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AIBD-0075-source-0001–0003
- Citations
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Numbered references below.
- Language
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Not assessed
- Source relationships
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Independent
- Original evidence
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Not assessed
- Access and versions
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Not assessed
- Supported findings
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Not assessed
- Evidence links
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Not assessed
- Evidence strength
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Not assessed
- Missing evidence
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Not assessed
Grades
- Assessed benefits
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Organizations. Society.
- Depth
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Organizations: 1. Society: 1.
- Reasons
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Organizations: Small: one more entry resolved in the erdosproblems.com project, accepted by its maintainer. Society: Small: a single open problem settled. The problem page records the solution, and Tao's wiki catalogs it among many AI contributions.
- Observed or intended
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Not assessed
- Rubric
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Not assessed
- Assessor and date
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Not assessed
- Alternative assessments
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Not assessed
- Fill
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Listed, not verified
Entry details
- Kind
-
Not assessed
- Related entries
-
Same developer, OpenAI, and same stakeholder, the research record: the nonsense term “vegetative electron microscopy” entered published papers via AI training contamination that GPT-3 and GPT-4 reproduce, harming researchers, publishers and the scientific record.
- Field
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Mathematics. Research mathematics (additive number theory).
- Purpose
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General-purpose reasoning model prompted to solve an open research problem
- Dates
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Date basis unassessed: 2026 (precision unassessed). Updated: 21 October 2026.
- Stage
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Not assessed
- Version
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SHA-256: a937c036c24f…
References
- Other identifiers
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AI Incident Database: 1044.
- Category mappings
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Not assessed
- Brief
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Not assessed
- Revisions
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6 revisions. Latest: 21 October 2026.
Sources
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Other Independent author
Bloom, T. (ed.) (2026). Erdős Problem #38. erdosproblems.com.
A positive solution was given by GPT 5.5 Pro (prompted by gebyjaff) in the comments; in fact a sparse random set B has this property
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Other Independent author
erdosproblems.com forum (2026). Thread for problem 38. erdosproblems.com.
Standard check found no issues in the writeup
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Other Independent author
Tao, T. et al. (2026). AI contributions to Erdős problems. GitHub wiki, teorth/erdosproblems.
This AI Wiki collects contributions of AI systems to the understanding of Erdős problems.