AI model accuracy vs completeness

What worked

• The scatter form put two competing measures on one plane, letting readers see the tradeoff between completeness and accuracy at a glance, for example 63.3% completeness at 37.2% accuracy versus 96.7% accuracy at 40.0% completeness.
• The post text named specific models and providers with exact figures, which gave readers something concrete to compare and discuss.
• Posting around a launch moment gave the chart a reason to be shared when attention on these models was high.

What to borrow

We could use a scatter to show two dimensions of our own data at once, label each point with the model and provider, and time the post to a launch or release moment so the comparison feels current.

Careful

Do not read the low likes, reposts, quotes and saves as proof the chart was weak, since the spread came from timing and form rather than audience response, and do not copy the missing source line.