Models
xAI
Training compute of notable models

@EpochAIResearchX · Feb 20, 2025

Training compute of notable models

@EpochAIResearch's scatter plot drew 369 views on X: 0.1x @epochairesearch's median post and #1,159 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Training compute of notable models over time

XData Scatter plot Grok 3 All xAI models GPT-4Gemini UltraGPT-3PaLMAlphaGo ZeroAlphaGo MasterAlexNet

@EpochAIResearch: Training compute of notable models — Published by @EpochAIResearch on X, Feb 20, 2025. Source: x.com

31/ 100

ViralChart score

Small but loved

Fewer views than the median post but a higher engagement rate: a smaller crowd that acted on it.

#906 of 1,162 AI chart posts we hold · #51 of 59 @epochairesearch posts. Score = views 40%, likes 30%, engagement rate 15%, save rate 15%, each as a percentile of every AI chart post we hold.

Our read

It sits in Small but loved, with a score rank of #906 of 1,162 AI chart posts.

Its 369 views sit at 0.07x this account's median of 5.3K, ranking #58 of 59 @EpochAIResearch posts.

Engagement of 3.79% lands in the 99th percentile among AI chart posts, 5.2x the 0.73% median.

Scatter plots draw a 22.4K median, and this post's 369 views are 0.02x that figure.

0.0xthe median scatter plot post

Across 187 scatter plot posts we hold, the median gets 22.4K views.

0.1x@epochairesearch's median post

369 views, where @epochairesearch's typical post gets 5.3K.

top 1%engagement rate

3.79% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

top 4%save rate

0.271% of viewers bookmarked it to come back to. The median post gets 0.076%.

Public X numbers from our read on Oct 12, 2026. Peers: 1,162 AI chart posts we hold and 59 from @epochairesearch.

Where it sits

Reach against resonance

Each dot is a post. Right is more views, up is a higher engagement rate. The lines are the medians, so the four corners are the four kinds of post.

Among 1,162 AI chart posts we hold

Score #906 of 1,162

Views	369	#1,159	bottom 1%
Likes	13	#1,091	bottom 7%
Engagement rate	3.79%	#2	top 1%
Save rate	0.271%	#50	top 4%

Among 59 @epochairesearch posts

Score #51 of 59

Views	369	#58	bottom 3%
Likes	13	#55	bottom 8%
Engagement rate	3.79%	#2	top 3%
Save rate	0.271%	#8	top 13%

Growth

One read so far

Age at our read599 days

Views per day of life1views divided by days since it was posted

Dots are our reads. The dotted line from the day it was posted to our first read is a gap, not data.

@epochairesearch's posts over time

Every post from this account we hold, by date and views. This one is marked; the line is the running median of the last 10.

News · Feb 20, 2025

@EpochAIResearch charts training compute of notable models

A scatter plot of training compute over time drew 369 views and a 3.79% engagement rate, the 99th percentile among AI chart posts.

What happened

@EpochAIResearch posted a scatter plot on training compute of notable models on February 20, 2025. It was one of 2 posts from the account that day, alongside one on Total Training FLOPs Over Time.

The numbers

The post reached 369 views, ranking #1,159 of 1,162 AI chart posts and #58 of 59 @EpochAIResearch posts. Its score of 31 ranks #906 of 1,162 AI chart posts.

The lesson

A scatter plot with 7 models shown drew 369 views against a 22.4K median for scatter plot posts. The 3.79% engagement rate against a 0.27% save rate shows readers engaged without saving.

What it means

At #51 of 59 @EpochAIResearch posts by score, this chart sits below the account's own median views of 5.3K. The 3.79% engagement rate against a 1.37% account median shows the gap is in reach, not response.

Written by ViralChart from public numbers read on Oct 12, 2026. Every number is checked against our data before it is shown.

Updates: what @epochairesearch posted next

Data and API

7 points read off this chart

Estimated from the image 87%

Series	Group	Value	Read
AlexNet	notable models	100000000000000000 FLOP	printed
AlphaGo Master	notable models	550000000000000000000 FLOP	printed
AlphaGo Zero	notable models	5.05e+22 FLOP	printed
GPT-3	notable models	1e+23 FLOP	printed
PaLM	notable models	1e+24 FLOP	printed
GPT-4	notable models	5.5e+25 FLOP	printed
Gemini Ultra	notable models	1e+27 FLOP	estimated

Max plan · API

GET https://viral-chart.com/api/posts/80c176f998fe.json
GET https://viral-chart.com/api/charts/80c176f998fe.json
GET https://viral-chart.com/api/charts/80c176f998fe.skill.md

Make one like this Open the post JSON Chart data JSON Skill file API docs

Static files in this prototype. The post JSON holds the public numbers, ranks, score, quadrant, our reads and, when checked, our copy.

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 80c176f998fe.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/80c176f998fe`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/80c176f998fe/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/80c176f998fe/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

curlMax

curl -s https://viral-chart.com/api/v1/charts/80c176f998fe/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.