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Omniscience Accuracy vs. Omniscience Index

@ArtificialAnlysX · Nov 17, 2025

Omniscience Accuracy vs. Omniscience Index

@ArtificialAnlys's scatter plot drew 12.5K views on X: 1.1x @artificialanlys's median post and #787 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Omniscience Accuracy vs Omniscience Index scatter plot

XData Scatter plot Gemini 2 All Google modelsAlibabaAnthropicDeepSeekGoogleLG AI ResearchMetaMiniMaxMistral

@ArtificialAnlys: Omniscience Accuracy vs. Omniscience Index — Published by @ArtificialAnlys on X, Nov 17, 2025. Source: x.com

38/ 100

ViralChart score

Quiet

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

#776 of 1,162 AI chart posts we hold · #232 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

It sits in the Quiet quadrant, at #776 of 1,162 AI chart posts.

Its #3 of 4 rank by views that day sits level with the account's other November 17, 2025 posts.

A 0.12% save rate lands at the 71st percentile among AI chart posts, above the 0.076% median.

The score of 38 puts it at #776 of 1,162 AI chart posts, below the field.

4posts from @artificialanlys that day

Part of a run of 4 posts on Nov 17, 2025. This one was #3 of 4 by views that day.

top 29%save rate

0.120% of viewers bookmarked it to come back to. The median post gets 0.076%.

0.6xthe median scatter plot post

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

bottom 40%engagement rate

0.61% 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 #776 of 1,162

Views	12.5K	#787	bottom 32%
Likes	66	#821	bottom 29%
Engagement rate	0.61%	#701	bottom 40%
Save rate	0.120%	#332	top 29%

Among 491 @artificialanlys posts

Score #232 of 491

Views	12.5K	#241	top 49%
Likes	66	#256	bottom 48%
Engagement rate	0.61%	#330	bottom 33%
Save rate	0.120%	#159	top 32%

Growth

One read so far

Views12.5K

Age at our read329 days

Views per day of life38views 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 · Nov 17, 2025

@ArtificialAnlys posts Omniscience Accuracy vs. Omniscience Index scatter plot

A 15-model scatter plot from November 17, 2025 drew 12.5K views and a 0.61% engagement rate.

What happened

@ArtificialAnlys published a scatter plot of Omniscience Accuracy vs. Omniscience Index on November 17, 2025, showing 15 models. It was one of 4 posts from the account that day, alongside AI Hallucination Rate Comparison, Artificial Analysis Omniscience Accuracy, and Artificial Analysis Omniscence Index vs. Total Parameters.

The numbers

It reached 12.5K views, ranking #787 of 1,162 AI chart posts, against a median of 39.9K among AI chart posts. Its score of 38 ranks #776 of 1,162 AI chart posts and #232 of 491 @ArtificialAnlys posts.

The lesson

A 0.12% save rate, at the 71st percentile among AI chart posts, shows readers bookmark this scatter plot above the 0.076% median even as views stay low. The chart shows LG AI Research (EXAONE 4.0 32B) at 0.12 on Omniscience Accuracy.

What it means

At #232 of 491 @ArtificialAnlys posts, this scatter plot trails the account's own body of work, and its 12.5K views sit far below the 39.9K median among AI chart posts. The 0.12% save rate, above the 0.076% median, marks it as saved more than seen.

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

33 points read off this chart

Estimated from the image 42%

Series	Group	Value	Read
LG AI Research	EXAONE 4.0 32B	0.12	printed
Alibaba	Qwen3 Next 80B A100B	0.18	estimated
Alibaba	Qwen3 Next 80B (high)	0.2	estimated
Meta	Llama 4 Maverick	0.22	estimated
Meta	Llama 3 235B 2507	0.2	estimated
NVIDIA	NVIDIA Nemotron Super 49B v1.5	0.2	estimated
MiniMax	MiniMax-M2	0.25	estimated
Z AI	GLM-4.6	0.28	estimated
OpenAI	GPT-4.1	0.25	estimated
xAI	Grok 4 Fast	0.2	estimated
DeepSeek	DeepSeek V3.1 Terminus	0.2	estimated
Mistral	Magistral Medium 1.2	0.2	estimated

Showing 12 of 33. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/24dd7b965c65.json
GET https://viral-chart.com/api/charts/24dd7b965c65.json
GET https://viral-chart.com/api/charts/24dd7b965c65.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 24dd7b965c65.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.42 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/24dd7b965c65`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/24dd7b965c65/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/24dd7b965c65/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/24dd7b965c65/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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