Compilation··3:30·Theoretical computer science

Unique Games Conjecture, Bin Packing and 8 More in Theoretical Computer Science

Compilation · 3:30 · 15 October 2026Watch on YouTube →

Watch on YouTubeAbout the problem →

About this video

10 results from OpenAI's public mathematics catalogue, one per chapter. Each chapter names the problem, shows the real objects, and states what OpenAI claims; none of it is peer reviewed yet.

Chapters:
0:00 Unique Games Conjecture
0:21 2-to-1 Games Conjecture
0:42 Coloring 3-Colorable Graphs
1:04 Permanent vs Determinant
1:25 Randomized k-Server Problem Solved
1:47 Matroid Prophet Inequality
2:07 Noncommutative Identity Testing
2:28 Bin Packing
2:49 Maximum Matching in Almost Linear Time, Any Graph
3:09 Edit Distance

Unique Games Conjecture: Max-Cut asks you to split a network's dots into two teams so that as many lines as possible join opposite teams.
Explained: gradientdamage.com/p/102
Paper: github.com/openai/math/blob/main/preprints/The-Unique-Games-T…

2-to-1 Games Conjecture: In a 2-to-1 game every dot gets a label, and each link has a rule that sends two labels on one side to one label on the other.
Explained: gradientdamage.com/p/105
Paper: github.com/openai/math/blob/main/preprints/Perfect-completene…

Coloring 3-Colorable Graphs: A graph is 3-colorable if its dots can be given three colors so that no link joins two dots of the same color.
Explained: gradientdamage.com/p/106
Paper: github.com/openai/math/blob/main/preprints/Hardness-of-findin…

Permanent vs Determinant: The determinant of a matrix is fast to compute; the permanent (the same sum with every sign a plus) is believed to be hard.
Explained: gradientdamage.com/p/108
Paper: github.com/openai/math/blob/main/preprints/A-cubic-lower-boun…

Randomized k-Server Problem Solved: k taxis, calls arriving one at a time, and no view of the future: how close can you get to the best plan in hindsight? The randomized k-server conjecture guessed a factor of log k.
Explained: gradientdamage.com/p/110
Paper: github.com/openai/math/blob/main/preprints/Squared-logarithmi…

Matroid Prophet Inequality: Values arrive one at a time and you must keep or discard each on the spot, while a prophet who sees everything picks the best set.
Explained: gradientdamage.com/p/111
Paper: github.com/openai/math/blob/main/preprints/One-Sample-Suffice…

Noncommutative Identity Testing: With numbers, (x+y)(x−y) always equals x² − y², but with matrices, where xy ≠ yx, it does not.
Explained: gradientdamage.com/p/116
Paper: github.com/openai/math/blob/main/preprints/Uniform-Matrix-Hit…

Bin Packing: Bin packing asks how few boxes of size 1 can hold a list of items.
Explained: gradientdamage.com/p/118
Paper: github.com/openai/math/blob/main/preprints/Additive-hardness-…

Maximum Matching in Almost Linear Time, Any Graph: A matching pairs up dots along edges so that no dot is used twice.
Explained: gradientdamage.com/p/120
Paper: github.com/openai/math/blob/main/preprints/Almost-Linear-Time…

Edit Distance: The edit distance between two strings is the fewest inserts, deletes and swaps that turn one into the other.
Explained: gradientdamage.com/p/121
Paper: github.com/openai/math/blob/main/preprints/An-Almost-Linear-A…

The animations illustrate the results; they are not proofs.

Gradient Damage: mathematics you can see, equations you can hear.
youtube.com/@gradientdamage

Chapters

One problem per chapter. Each name links to the result's own page, each time to that moment on YouTube.

  1. Unique Games Conjecture Theoretical computer science
  2. 2-to-1 Games Conjecture Theoretical computer science
  3. Coloring 3-Colorable Graphs Theoretical computer science
  4. Permanent vs Determinant Theoretical computer science
  5. Randomized k-Server Problem Solved Theoretical computer science
  6. Matroid Prophet Inequality Theoretical computer science
  7. Noncommutative Identity Testing Theoretical computer science
  8. Bin Packing Theoretical computer science
  9. Maximum Matching in Almost Linear Time, Any Graph Theoretical computer science
  10. Edit Distance Theoretical computer science

Chapter 1: about the problem

Theoretical computer science·OpenAI Math·Result 102

The Unique Games Conjecture and optimal approximation thresholds

Proves Khot's Unique Games Conjecture. Independent direct reductions also establish NP-hardness, on unweighted graphs, of approximation beyond the Goemans–Williamson ratio for Max-Cut, below factor two for Vertex Cover, and within any fixed constant factor for Min-UnCut and directed feedback vertex set. These direct proofs use established PCP and Label Cover hardness results. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 2: about the problem

Theoretical computer science·OpenAI Math·Result 105·from 0:21

Perfect completeness for 2-to-1 games

Proves Khot's 2-to-1 Games Conjecture with perfect completeness: for every fixed rational δ ∈ (0,1), it is NP-hard to distinguish satisfiable games from games whose optimum is at most δ, on explicit unweighted instances. The alphabet depends only on δ, and every right-hand label has exactly two preimages under each constraint map. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 3: about the problem

Theoretical computer science·OpenAI Math·Result 106·from 0:42

Hardness of coloring three-colorable graphs

It is NP-hard to color a three-colorable graph using any fixed number c ≥ 3 of colors. More strongly, for every fixed 0 < δ < 1/3, a deterministic polynomial-time reduction from 3SAT produces simple unweighted graphs that are three-colorable in the satisfiable case and have no independent set of size δ n otherwise, where n is the number of vertices. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 4: about the problem

Theoretical computer science·OpenAI Math·Result 108·from 1:04

A cubic permanent–determinant lower bound

Proves an Ω(n3) lower bound for the border determinantal complexity of the n× n permanent over ℂ. Even coefficientwise limits of determinants of affine-linear matrices require matrix size at least cn3, for an absolute c > 0 and all sufficiently large n; the same bound therefore holds for exact representations. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 5: about the problem

Theoretical computer science·OpenAI Math·Result 110·from 1:25

Optimal-order randomized k-server on arbitrary metrics

Establishes a randomized competitive ratio O(log2(k+1)) for k-server on every metric space, matching the worst-case lower-bound order. One policy serves every finite oblivious request sequence, including on infinite unbounded metrics. On finite rational metrics, a uniform implementation has polynomial preprocessing and per-request bit cost in the input length and log(t+1) at request t, with a finite instance-dependent additive movement constant. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 6: about the problem

Theoretical computer science·OpenAI Math·Result 111·from 1:47

One-sample matroid prophet inequalities against an almighty adversary

For every finite matroid known in advance, gives a distribution-independent online rule using one independent sample per element and earning a universal constant fraction of the expected offline optimum. Values are independent and nonnegative, with finite expected optimum. The guarantee holds even when the arrival-order adversary sees all samples, values, and the rule's entire random seed; no polynomial-time implementation is asserted. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 7: about the problem

Theoretical computer science·OpenAI Math·Result 116·from 2:07

Uniform black-box noncommutative identity testing across characteristics

For each characteristic, constructs in deterministic polynomial bit time a polynomial-dimensional matrix tuple detecting every nonzero division-free noncommutative formula of bounded size over any field of that characteristic. Rational formulas over ℚ also admit polynomial-size hitting lists whenever they have a defined rational-matrix evaluation. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 8: about the problem

Theoretical computer science·OpenAI Math·Result 118·from 2:28

Bin packing and unbounded configuration-LP gaps

Disproves the modified integer round-up conjecture of Scheithauer and Terno: the integral bin-packing optimum can exceed its configuration linear-programming value by an arbitrarily large additive constant. Approximating the optimum within any fixed additive constant is also NP-hard, even when every item exceeds 1/6 and each bin holds at most five items. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 9: about the problem

Theoretical computer science·OpenAI Math·Result 120·from 2:49

Almost-linear-time exact matching and prescribed-degree factors in general graphs

Gives a randomized algorithm finding an exact maximum-cardinality matching in any simple undirected graph in (n+m)1+o(1) word time, with success probability at least 2/3. The time bound holds on every computation path. The same guarantees apply to finding a spanning subgraph with prescribed admissible vertex degrees, or deciding that none exists.

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 10: about the problem

Theoretical computer science·OpenAI Math·Result 121·from 3:09

Almost-linear approximation of edit distance

For every fixed rational ε ∈ (0,1), gives a randomized (1+ε) approximation to unit-cost edit distance in worst-case expected time N1+o(1), with success probability at least 2/3. The strings have total length N and polynomially bounded integer symbols. This is an asymptotic guarantee at fixed accuracy. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Topics

unique games conjecture2-to-1 games conjecturegraph coloringpermanent vs determinantk-server problemprophet inequalitypolynomial identity testingbin packingmaximum matchingedit distanceTheoretical computer scienceOpenAI mathAI proofAI mathematicsmathsGradient Damage