Models
OpenAI
LifeSciBench Scores by Scientific Workflow

OpenAIX · Jun 17, 2026 · official

LifeSciBench Scores by Scientific Workflow

OpenAI's grouped bar chart drew 102.9K views on X: 0.6x its median post and #376 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

LifeSciBench scores by workflow for GPT-Rosalind and GPT-5.5

XData Grouped bar chart GPT-5 All OpenAI modelsGPT-RosalindGPT-5.5

OpenAI: LifeSciBench Scores by Scientific Workflow — Published by OpenAI on X, Jun 17, 2026. Source: x.com

45/ 100

ViralChart score

Wide but thin

More views than the median post but a lower engagement rate: many saw it, few acted. Common for big accounts.

#678 of 1,162 AI chart posts we hold · #57 of 74 OpenAI 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 Wide but thin quadrant, with a score rank of #678 of 1,162 AI chart posts.

Its save rate of 0.020% sits at the 9th percentile among AI chart posts, in the bottom decile.

At 0.019 views per follower, it lands at the 11th percentile among posts with known followers.

Its 103K views are 0.64x OpenAI's median of 162K, ranking #46 of 74 OpenAI posts.

0.02views per follower

102.9K views from an account with 5.4M followers.

bottom 9%save rate

0.020% of viewers bookmarked it to come back to. The median post gets 0.076%.

bottom 11%engagement rate

0.32% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

0.6xOpenAI's median post

102.9K views, where OpenAI's typical post gets 161.5K.

Public X numbers from our read on Oct 12, 2026. Peers: 1,162 AI chart posts we hold and 74 from OpenAI.

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 #678 of 1,162

Views	102.9K	#376	top 32%
Likes	299	#572	top 49%
Engagement rate	0.32%	#1,040	bottom 11%
Save rate	0.020%	#1,053	bottom 9%

Among 74 OpenAI posts

Score #57 of 74

Views	102.9K	#46	bottom 39%
Likes	299	#52	bottom 30%
Engagement rate	0.32%	#59	bottom 21%
Save rate	0.020%	#68	bottom 9%

Growth

One read so far

Views102.9K

Age at our read117 days

Views per day of life880views 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.

OpenAI'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 · Jun 17, 2026

OpenAI posts LifeSciBench scores by scientific workflow

The grouped bar chart drew 103K views and 299 likes, with a save rate of 0.020% against a 0.076% median among AI chart posts.

What happened

OpenAI published a grouped bar chart of LifeSciBench scores by scientific workflow on June 17, 2026. It was the account's only post that day.

The numbers

It reached 103K views, ranking #376 of 1,162 AI chart posts and #46 of 74 OpenAI posts. Its score rank is #678 of 1,162 AI chart posts.

The lesson

A save rate of 0.020%, at the 9th percentile among AI chart posts, marks this grouped bar chart as one readers did not keep. The 0.076% median among AI chart posts is the gap a chart meant for citation has to close.

What it means

At #57 of 74 OpenAI posts by score, this chart sits near the bottom of the account's own output. Its 103K views are 0.64x OpenAI's median of 162K, so the reach gap is a company-level pattern, not a one-off.

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

Updates: what OpenAI posted next

Data and API

18 points read off this chart

Estimated from the image 42%

Series	Group	Value	Read
GPT-Rosalind	Evidence Handling	59 %	estimated
GPT-5.5	Evidence Handling	55.5 %	estimated
GPT-Rosalind	Design, Optimization, & Prediction	55 %	estimated
GPT-5.5	Design, Optimization, & Prediction	49.5 %	estimated
GPT-Rosalind	Reasoning	55 %	estimated
GPT-5.5	Reasoning	50.5 %	estimated
GPT-Rosalind	Validation & operations	60 %	estimated
GPT-5.5	Validation & operations	53.5 %	estimated
GPT-Rosalind	Translation	59 %	estimated
GPT-5.5	Translation	70 %	estimated
GPT-Rosalind	Scientific Communication	71 %	estimated
GPT-5.5	Scientific Communication	64.5 %	estimated

Showing 12 of 18. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/186f0dd42696.json
GET https://viral-chart.com/api/charts/186f0dd42696.json
GET https://viral-chart.com/api/charts/186f0dd42696.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 186f0dd42696.

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/186f0dd42696`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/186f0dd42696/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/186f0dd42696/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/186f0dd42696/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

Where does this chart come from?

OpenAI published it on Jun 17, 2026 on X (x.com). We keep it here, with the publisher and date credited as text, so you can study it without leaving.

Can I make a chart like this?

Use the format, not the picture. Open its data page and use Make one like this: it starts from this chart's numbers and takes yours.