· Oct 29, 2026
Terence Tao: Sidon set bounds refine a method—and expose its apparent limit
Markdown · JSON · Original source
describes a paper by Daniel Carter, Kevin O’Bryant, and himself that refines an upper bound on the size of Sidon sets. The work grew from a blog discussion of using AlphaEvolve to improve the then state of the art. The authors obtained further refinements, but progress stalled after several months, and they released their preprint. Tao says the paper focuses on the method rather than the specific numerical constant. It uses weighted inequalities and optimization, then improves the bound by considering random choices and taking expectations. Tao calls the calculations “highly computer-assisted.” He says the method also extends to the more general class of Golomb rulers, where a given non-zero difference is permitted to appear up to a specified number of times. Tao says the method appears to be reaching its current limit, while noting that a different method obtained a slightly sharper bound. The supplied text’s mathematical expressions are missing, so the precise bounds and details needed to assess or reproduce the derivation cannot be determined from this reading. How much further can this method refine the bound before a different approach is needed?
Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.
Original source
· Article
Source details
Original source date: Oct 29, 2026 (2026-10-29T04:05:18+00:00).
Date basis: Date stated by the publisher.
Added to Escape Meridian: 2026-11-06T10:47:09.369Z. First observed: 2026-10-29T04:06:28.393Z. Retrieved: 2026-10-29T06:00:50.093Z.
Referenced by
Recorded citations and public file attachments. A reference alone does not establish agreement or influence.
No public references recorded here yet.
Limits
The supplied text omits mathematical expressions in the definitions, inequalities, and reported bounds. The precise bound and enough detail to assess or reproduce the derivation are therefore unavailable here.
Open question
How much further can this method refine the bound before a different approach is needed?
Source-stated
Tao says the paper by Daniel Carter, Kevin O’Bryant, and himself follows a blog interaction about using AlphaEvolve to improve the then-current bound on Sidon set size.
Daniel Carter, Kevin O’Bryant, and I have uploaded to the arXiv our paper On the diameter and distribution of Sidon sets. This is a paper stemming from an interaction on my blog last year, regarding the use of AlphaEvolve to improve the then state of the art on the size of Sidon sets.
Source-stated
Tao says the authors made further refinements, but progress stalled after several months without further progress, leading them to release the preprint.
We obtained a series of further refinements to the bound until progress stalled; after several months of no further progress, we decided to release what we have in this preprint.
Source-stated
Tao says the method uses optimization and random choices, with calculations that are highly computer-assisted, and that it extends to more general Golomb rulers.
The calculations get quite messy (and highly computer-assisted), but eventually give (2). The method also extends to the more general class of
Source-stated
Tao says the authors appear to be reaching the limit of their current method, while a different method obtained a slightly sharper bound.
but we appear to be reaching the limit of our current method. Very recently, a slightly sharper bound of 0.942809522 was obtained by a different method
Source and contributor context
Terence Tao · Publisher
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Source media
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Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
Terence Tao
Direct accounts of mathematical practice, formalization and human/AI collaboration.
Editorial provenance
Version 1. Publication ID: 5752478a-5440-478e-8930-b59cdf484f67.
Prepared by gpt-6-luna; grounding review by gpt-6-luna.
Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-06T10:47:09.369Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: material_development.
Observation: 1af9c75ca8f209ebb2081c5fb66fced1a81eda124a929ca1a728e271b9b0acc5. Source text hash: 8650b66bdee362a8fc53c45ffcae80c8a38a1a45b456629dfa518862c0075ab4.
Revision and source-check history
Version 1 · 2026-11-06T10:47:09.369Z
Terence Tao: Sidon set bounds refine a method—and expose its apparent limit
describes a paper by Daniel Carter, Kevin O’Bryant, and himself that refines an upper bound on the size of Sidon sets. The work grew from a blog discussion of using AlphaEvolve to improve the then state of the art. The authors obtained further refinements, but progress stalled after several months, and they released their preprint. Tao says the paper focuses on the method rather than the specific numerical constant. It uses weighted inequalities and optimization, then improves the bound by considering random choices and taking expectations. Tao calls the calculations “highly computer-assisted.” He says the method also extends to the more general class of Golomb rulers, where a given non-zero difference is permitted to appear up to a specified number of times. Tao says the method appears to be reaching its current limit, while noting that a different method obtained a slightly sharper bound. The supplied text’s mathematical expressions are missing, so the precise bounds and details needed to assess or reproduce the derivation cannot be determined from this reading. How much further can this method refine the bound before a different approach is needed?
Original source
· Article
Source details
Original source date: Oct 29, 2026 (2026-10-29T04:05:18+00:00).
Date basis: Date stated by the publisher.
Added to Escape Meridian: 2026-11-06T10:47:09.369Z. First observed: 2026-10-29T04:06:28.393Z. Retrieved: 2026-10-29T06:00:50.093Z.
Limits
The supplied text omits mathematical expressions in the definitions, inequalities, and reported bounds. The precise bound and enough detail to assess or reproduce the derivation are therefore unavailable here.
Open question
How much further can this method refine the bound before a different approach is needed?
Source-stated
Tao says the paper by Daniel Carter, Kevin O’Bryant, and himself follows a blog interaction about using AlphaEvolve to improve the then-current bound on Sidon set size.
Daniel Carter, Kevin O’Bryant, and I have uploaded to the arXiv our paper On the diameter and distribution of Sidon sets. This is a paper stemming from an interaction on my blog last year, regarding the use of AlphaEvolve to improve the then state of the art on the size of Sidon sets.
Source-stated
Tao says the authors made further refinements, but progress stalled after several months without further progress, leading them to release the preprint.
We obtained a series of further refinements to the bound until progress stalled; after several months of no further progress, we decided to release what we have in this preprint.
Source-stated
Tao says the method uses optimization and random choices, with calculations that are highly computer-assisted, and that it extends to more general Golomb rulers.
The calculations get quite messy (and highly computer-assisted), but eventually give (2). The method also extends to the more general class of
Source-stated
Tao says the authors appear to be reaching the limit of their current method, while a different method obtained a slightly sharper bound.
but we appear to be reaching the limit of our current method. Very recently, a slightly sharper bound of 0.942809522 was obtained by a different method
Source and contributor context
Terence Tao · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media was declared by the source, but no asset passed the supported availability checks. Open the original source to view it.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
Terence Tao
Direct accounts of mathematical practice, formalization and human/AI collaboration.
Editorial provenance
Version 1. Publication ID: 5752478a-5440-478e-8930-b59cdf484f67.
Prepared by gpt-6-luna; grounding review by gpt-6-luna.
Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-06T10:47:09.369Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: material_development.
Observation: 1af9c75ca8f209ebb2081c5fb66fced1a81eda124a929ca1a728e271b9b0acc5. Source text hash: 8650b66bdee362a8fc53c45ffcae80c8a38a1a45b456629dfa518862c0075ab4.
uncertain · 2026-11-06T10:47:09.369Z · anthropic/claude-opus-5.5
Publication: 5752478a-5440-478e-8930-b59cdf484f67
attribution — pass: The reading correctly attributes the post to Terence Tao and the paper to Daniel Carter, Kevin O’Bryant and Tao. The method, the stalled progress, and the reported limit all stay framed as Tao's statements.
Daniel Carter, Kevin O’Bryant, and I have uploaded to the arXiv our paper On the diameter and distribution of Sidon sets.
summary — uncertain: Three central terms are never explained, so a non-specialist cannot follow the development. Smallest repair: add a plain gloss for each. A Sidon set is a set of integers whose pairwise sums are all distinct. AlphaEvolve is the AI tool behind the original improvement. Golomb rulers also need a gloss. The draft also says progress 'stalled after several months'; the source says it stalled and they released after several months of no progress. Tao's aside that they did not use 2026-level AI tools is relevant to the AI angle but omitted. The question is also duplicated inside the summary.
Recall that a Sidon set is a set of integers with the property that all the sums with and are distinct.
date — pass: originalPublished is 2026-10-29T04:05:18Z, based on the publisher page, and matches the feed entry. The 2026/10/28 date in the URL is consistent with a local-time evening post. No conflicting earlier date appears in the evidence.
support — pass: The claims are grounded in the source: the blog origin with AlphaEvolve, the stalled refinements, the random choices with expectations, the highly computer-assisted calculations, the extension to Golomb rulers, the apparent limit, and the sharper bound found by a different method. The limitation about missing mathematical expressions is accurate. The closing question follows from Tao's statement about reaching the method's limit and is not leading.
but we appear to be reaching the limit of our current method. Very recently, a slightly sharper bound of 0.942809522 was obtained by a different method
media — pass: The selected media is the verified direct link to Tao's original blog post. It matches the source URL and is the most direct access to the source.
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Direct accounts of mathematical practice, formalization and human/AI collaboration.
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Explore Terence TaoDirect accounts of mathematical practice, formalization and human/AI collaboration.
Explore Terence TaoDirect accounts of mathematical practice, formalization and human/AI collaboration.
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