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Anthropic
AI Model Omniscience Metrics Comparison

@ArtificialAnlysX · Sep 1, 2026

AI Model Omniscience Metrics Comparison

@ArtificialAnlys's small multiples drew 8.3K views on X: 0.7x @artificialanlys's median post and #851 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

AI Model Performance Across Omniscience Metrics

XData Small multiples Claude Fable 5 All Anthropic models GPT-4oClaude 3.5 SonnetClaude 3 OpusGemini 1.5 ProLlama 3.1 405BMistral Large 2

@ArtificialAnlys: AI Model Omniscience Metrics Comparison — Published by @ArtificialAnlys on X, Sep 1, 2026. Source: x.com

32/ 100

ViralChart score

Quiet

Fewer views and a lower engagement rate than the median post.

#875 of 1,162 AI chart posts we hold · #283 of 491 @artificialanlys 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

The post sits in the Quiet quadrant, at #875 of 1,162 AI chart posts.

It landed #3 of 3 @ArtificialAnlys posts that day, with 3 posts from the account on September 1, 2026.

Its score of 32 sits at #875 of 1,162 AI chart posts and #283 of 491 @ArtificialAnlys posts.

At 8.3K views it ran 0.73x @ArtificialAnlys's 11.4K median, ranking #282 of 491 @ArtificialAnlys posts.

3posts from @artificialanlys that day

Part of a run of 3 posts on Sep 1, 2026. This one was #3 of 3 by views that day.

0.3xthe median small multiples post

Across 43 small multiples posts we hold, the median gets 27K views.

0.7x@artificialanlys's median post

8.3K views, where @artificialanlys's typical post gets 11.4K.

bottom 46%engagement rate

0.69% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

Public X numbers from our read on Oct 12, 2026. Peers: 1,162 AI chart posts we hold and 491 from @artificialanlys.

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 #875 of 1,162

Views	8.3K	#851	bottom 27%
Likes	52	#864	bottom 26%
Engagement rate	0.69%	#627	bottom 46%
Save rate	0.072%	#612	bottom 47%

Among 491 @artificialanlys posts

Score #283 of 491

Views	8.3K	#282	bottom 43%
Likes	52	#285	bottom 42%
Engagement rate	0.69%	#303	bottom 38%
Save rate	0.072%	#257	bottom 48%

Growth

One read so far

Views8.3K

Age at our read41 days

Views per day of life203views 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.

@artificialanlys'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 · Sep 1, 2026

@ArtificialAnlys small multiples on omniscience metrics

A 6-model small multiples chart posted on September 1, 2026 drew 8.3K views and a 0.69% engagement rate.

What happened

@ArtificialAnlys posted a small multiples chart on AI model performance across omniscience metrics on September 1, 2026. It came with 2 other posts from the account that day.

The numbers

It reached 8.3K views, #851 of 1,162 AI chart posts, against a 39.9K median among AI chart posts. Its score of 32 ranked #875 of 1,162 AI chart posts.

The lesson

The chart shows 6 models in one small multiples post, and its save rate was 0.072% against a 0.69% engagement rate. The 8.3K views landed below the 39.9K median among AI chart posts.

What it means

At #283 of 491 @ArtificialAnlys posts by score and 0.73x the account's 11.4K median views, this chart post ran below the account's own typical reach.

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

Updates: what @artificialanlys posted next

Data and API

79 points read off this chart

Estimated from the image 51%

Series	Group	Value	Read
	Claude 3.5 Haiku	43 %	estimated
AA-Omniscence Index Score	Claude 3.5 Sonnet	43 %	printed
AA-Omniscence Index Score	Claude 3 Opus	37 %	printed
AA-Omniscence Index Score	GPT-4o	30 %	estimated
AA-Omniscence Index Score	Gemini 1.5 Pro	27 %	estimated
AA-Omniscence Accuracy	GPT-4o mini	26 %	estimated
AA-Omniscence Index Score	Claude 3 Sonnet	23 %	estimated
AA-Omniscence Index Score	GPT-3.5 Turbo	20 %	estimated
AA-Omniscence Index Score	Gemini 1.5 Flash	14 %	estimated
	Llama 3.1 70b	7 %	estimated
AA-Omniscence Accuracy	Llama 3.1 8b	5 %	estimated
	Gemini 1.0 Pro	4 %	estimated

Showing 12 of 79. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/4813c6fb0f4a.json
GET https://viral-chart.com/api/charts/4813c6fb0f4a.json
GET https://viral-chart.com/api/charts/4813c6fb0f4a.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 4813c6fb0f4a.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/4813c6fb0f4a`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/4813c6fb0f4a/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/4813c6fb0f4a/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/4813c6fb0f4a/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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