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METR@METR_Evals · Aug 29, 2025 · Scatter plot

AI model task length

METR's scatter plot drew 88.7K views on X: 0.6x its typical post and #20 of 26 METR charts we track by views. Read Oct 10, 2026.

We estimate that Claude Opus 4.1 has a 50%-time-horizon of around 1 hr 45 min (95% confidence interval of 50 to 195 minutes) on our agentic multi-step software engineering tasks. This estimate is lower than the current highest time-horizon

Posted on X by @METR_Evals (METR), Aug 29, 2025. Source: x.com · See its data

Why it spread

This post spread because it put a hot topic that week into a single self-explaining number, drawing 88,680 views, 296 likes, 27 reposts, 14 quotes and 78 saves, even though the account's typical likes are 523.

What worked

  • The post explains itself: the text states the estimate, the confidence interval and the comparison to the highest point estimate, so the chart needs no extra context.
  • It rides a hot topic that week, and the account is branded with a source line, which together with a top quarter source reach and a top quarter quote rate helped it travel.
  • The framing is a simple scatter showing AI model task length growing exponentially over time, with high self-labelling and low unusual form, so the message lands fast.

What to borrow

We could take one headline estimate from our own data, state it plainly with its uncertainty and its comparison point, and let a simple scatter carry the exponential trend.

Careful

Do not over-read the likes as a win against the account's typical likes of 523, and do not copy the low comment and points fields as if they were measured here.

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 (at 50% success rate)" 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 85264c6bc015.

PathReturnsPlan
GET/api/v1/charts/85264c6bc015Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/85264c6bc015/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/85264c6bc015/render?view=1The draw-only view this page usesOpen
POST/mcpTool get_chart_data with this id, for Claude, Cursor and other agentsMax
curlMax
curl -s https://viral-chart.com/api/v1/charts/85264c6bc015/data \
  -H "Authorization: Bearer $VIRALCHART_KEY"
Claude CodeMax
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 task length" chart travel?

88,680 views, 296 likes, 27 reposts and 78 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. AI model task length grows exponentially over time.

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.