AI model time trends
METR's scatter plot drew 61.6K views on X: 0.4x its typical post and #25 of 26 METR charts we track by views. Read Oct 10, 2026.
We’re updating the way we measure model time horizons on software tasks (TH 1.0→1.1). The updated methodology incorporates more of the tasks from HCAST, expanding our total from 170 to 228. This produces tighter estimates, especially at lon
Why it spread
This chart post spread because it launched a methodology update at the right moment, reaching 61,616 views with 383 likes, 36 reposts, 10 quotes, and 64 saves, even though its quote rate was below average and the account typically gets 523 likes.
What worked
- The post frames a clear version change from Time Horizon 1.0 to 1.1 and explains that the task pool grew from 170 to 228, giving readers a concrete reason to look at the chart.
- The scatter chart shows that the two versions follow similar trends with moderate changes, which makes the update feel like a refinement rather than a reversal.
- The post is branded and includes a source line, and it came from an independent author, which supports trust while the launch timing helped it travel.
What to borrow
We could pair our own chart with a short plain language note about what changed in our method, how many items we added, and why the new view is tighter, then let the chart carry the comparison.
Careful
Do not over read the low quote rate or the gap between 383 likes and the account typical 523 likes as proof of weak content, and do not copy the launch timing or independent author framing as if they were chart design choices.
Written by our analysis model from the measured numbers above, not by METR.
Make it yours
Your numbers, the bar chart way.
Starts from the real numbers of "Time Horizon 1.1 and Time Horizon 1.0 show similar 2019-2025 trends, with moderate changes" by METR. Replace every number with yours before you post. Make one like this, step by step
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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 c442d0e138c1.
Approximate values. Our two readings of this chart agreed only in part (confidence 0.30 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/c442d0e138c1 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/c442d0e138c1/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/c442d0e138c1/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/c442d0e138c1/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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Questions people ask
How far did METR's "AI model time trends" chart travel?
61,616 views, 383 likes, 36 reposts and 64 saves on X, read Oct 10, 2026. A normal post from @METR_Evals gets about 153K views.
What kind of chart is it?
A scatter plot. Time Horizon 1.1 and 1.0 show similar trends with moderate changes.
Can I use METR's chart?
Use the format, not the picture. The chart, logo and design belong to METR. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.