AI model data intensity
Epoch AI's scatter plot drew 12.8K views on X: 0.2x its typical post and #92 of 97 Epoch AI charts we track by views. Read Oct 10, 2026.
LLM training became increasingly data-intensive between 2022 and 2025. This wasn’t just larger datasets; the ratio of training tokens to active parameters grew from ~10 in 2022 to ~250 in 2025. So what’s driving this trend? 🧵
Why it spread
It spread because the post explained itself clearly and landed at the right launch moment, drawing 196 likes, 17 reposts, 5 quotes, 68 saves and 12,781 views, well above the account's typical 114 likes.
What worked
- The post text states the trend in plain words, that the ratio of training tokens to active parameters grew from about 10 in 2022 to about 250 in 2025, so readers did not need the scatter to understand the point.
- The chart is self labelling and branded with a source line, which made it easy to trust and share as a standalone image.
- The launch timing matched a live conversation about data intensive training between 2022 and 2025, and the source reached the top quarter of accounts.
What to borrow
We could pair one clear sentence of framing with our own scatter, state the change in words, and publish when the topic is already being discussed.
Careful
Do not over-read the low quote rate or treat the save and view counts as proof of lasting impact, and do not copy the thread format without our own clear explanation.
Written by our analysis model from the measured numbers above, not by Epoch AI.
Make it yours
Your numbers, the bar chart way.
Starts from the real numbers of "Tokens per open-weight parameter models is becoming more data intensive" 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 4555d002b860.
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/4555d002b860 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/4555d002b860/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/4555d002b860/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/4555d002b860/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 Epoch AI's "AI model data intensity" chart travel?
12,781 views, 196 likes, 17 reposts and 68 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 open-weight models is becoming more data intensive.
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.