AI model training time
METR's scatter plot drew 991.5K views on X: 8.8x @metr_evals's median post and #100 of 1,162 AI chart posts we hold by views. Read Oct 10, 2026.
We evaluated an early version of Claude Mythos Preview for risk assessment during a limited window in March 2026. We estimated a 50%-time-horizon of at least 16hrs (95% CI 8.5hrs to 55hrs) on our task suite, at the upper end of what we can
Why it spread
This chart post spread because it paired a striking exponential growth claim about model training time over years with a specific, credible evaluation result: an estimated 50%-time-horizon of at least 16hrs (95% CI 8.5hrs to 55hrs), drawing 2,060 likes, 235 reposts, 154 quotes, 518 saves, and 991,412 views.
What worked
- The post is highly self-labelling wiped out, so viewers immediately understand the chart shows model training time growing exponentially over years.
- It is branded and includes a source line, which builds trust and makes the finding easy to attribute and share.
- The measured result is concrete and bounded, with calibers like 16hrs and a 95% CI of 8.5hrs to 55hrs, giving quoters a clear number to react to.
What to borrow
We could use the same scatter form and self-labelling framing to show one of our own metrics growing over time, then anchor it with a single concrete estimate and its uncertainty range.
Careful
Do not over-read the quote rate or source reach as proof of quality, and do not copy the exponential framing unless our own data actually shows that shape.
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 "Task length Mythos Preview (early) likely has a 50%-time-horizon of at least 16 hrs" by METR. 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 c28a3416271e.
Approximate values. Our two readings of this chart agreed only in part (confidence 0.31 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/c28a3416271e | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/c28a3416271e/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/c28a3416271e/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/c28a3416271e/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 training time" chart travel?
991,412 views, 2,060 likes, 235 reposts and 518 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. Model training time grows exponentially over years.
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.