Benchmark rank correlations
Epoch AI's heatmap drew 96.9K views on X: 1.4x its typical post and #38 of 97 Epoch AI charts we track by views. Read Oct 10, 2026.
Models that are good at math benchmarks tend to be good at coding and reasoning benchmarks too, pointing to a common factor driving AI capabilities.
Why it spread
The post spread because it landed on a hot topic that week and rode launch timing, and the account's 311 likes were well above its typical 114, with 96,946 views, 34 reposts, 12 quotes, and 84 saves.
What worked
- The headline finding is stated plainly: benchmark scores are nearly as correlated across domains as within them, which gives readers one clear takeaway.
- The chart type, a heatmap, fits the claim about rank correlations across domains and is branded with a source line, which supports trust.
- The framing points to a common factor driving AI capabilities, which is a broad idea that invites sharing beyond a narrow specialist audience.
What to borrow
We could take one of our own cross-domain comparisons, show it as a heatmap of rank relationships, and lead with a single sentence that names the pattern and why it matters.
Careful
Do not over-read the correlation as proof of a single underlying cause, and do not assume the spread came from the design alone, since the facts credit a hot topic and launch timing.
Written by our analysis model from the measured numbers above, not by Epoch AI.
Make it yours
Your numbers, in this table chart.
Starts from the real numbers of "Benchmark rank scores tend to be well correlated, even across domains" by Epoch AI. Replace every number with yours before you post. Make one like this, step by step
Free pictures carry a small "Made with ViralChart" line. That line is how other people find us.
API · Max
Use this chart via API
On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id b2574fd9c524.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/b2574fd9c524 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/b2574fd9c524/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/b2574fd9c524/render?view=1 | The draw-only view this page uses | Open |
| POST | /mcp | Tool get_chart_data with this id, for Claude, Cursor and other agents | Max |
curl -s https://viral-chart.com/api/v1/charts/b2574fd9c524/data \
-H "Authorization: Bearer $VIRALCHART_KEY"claude mcp add --transport http viralchart https://viral-chart.com/mcp \
--header "Authorization: Bearer $VIRALCHART_KEY"60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.
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How far did Epoch AI's "Benchmark rank correlations" chart travel?
96,946 views, 311 likes, 34 reposts and 84 saves on X, read Oct 10, 2026. A normal post from @EpochAIResearch gets about 68.2K views.
What kind of chart is it?
A heatmap. Benchmark rank correlations are well correlated across domains.
Can I use Epoch AI's chart?
Use the format, not the picture. The chart, logo and design belong to Epoch AI. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.

