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Epoch AI@EpochAIResearch · Nov 2, 2024 · Scatter plot

AI training compute scaling

Epoch AI's scatter plot drew 110.1K views on X: 1.6x its typical post and #36 of 97 Epoch AI charts we track by views. Read Oct 10, 2026.

1/ How does data movement constrain the size of AI training runs?

Posted on X by @EpochAIResearch (Epoch AI), Nov 2, 2024. Source: x.com · See its data

Why it spread

This post spread because it paired alarming, concrete framing about AI scaling limits with strong engagement, reaching 110,079 views, 316 likes, 53 reposts, 27 quotes, and 204 saves, while its quote rate landed in the top quarter.

What worked

  • The post text leads with a question and a clear finding: the largest training runs may be only about two orders of magnitude away from fundamental data movement barriers, arriving in about three years.
  • The chart is a scatter plot with high self labelling and a visible source line, which makes a technical bottleneck argument easy to follow and cite.
  • The account is an independent author in the ai-bench category, and the post earned many quotes, which helped it travel through discussion rather than only passive likes.

What to borrow

We could use the same form by turning our own chart into a question-led post that states one concrete limit or threshold, labels the chart clearly, and includes a source line so others can quote it with confidence.

Careful

Do not over-read the engagement as proof of the forecast itself, and do not copy the exact framing or numbers without our own evidence; the post had no comments or points listed, so discussion happened mainly through quotes.

Written by our analysis model from the measured numbers above, not by Epoch AI.

Make it yours

We have not read this chart's numbers yet

All chart data

Its own maker appears here once its numbers are read. Until then, these are other real charts in a similar format: each data page starts from that chart's numbers and takes yours.

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 682c22933ca3.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.41 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.

PathReturnsPlan
GET/api/v1/charts/682c22933ca3Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/682c22933ca3/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/682c22933ca3/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/682c22933ca3/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 Epoch AI's "AI training compute scaling" chart travel?

110,079 views, 316 likes, 53 reposts and 204 saves on X, read Oct 10, 2026. A normal post from @EpochAIResearch gets about 68.2K views.

What kind of chart is it?

A scatter plot. Training compute bottlenecks constrain AI scaling over time.

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.