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AI Release Frequency Per Month

Run the AI Release Frequency Per Month MicroSim Fullscreen

About This MicroSim

This line chart shows how many major AI models shipped in each individual calendar month since November 2022, across the 11 frontier labs tracked by AI Release Tracker. It replicates that site's "Release Frequency (Per Month)" chart.

Where AI Model Releases by Year smooths everything into five annual totals, this view exposes the volatility underneath: some months ship a dozen or more models, others ship almost none. The month-to-month noise is real — the underlying trend is still upward, but it is not a smooth climb.

How to Use

Hover along the line to see the exact release count for any month. The most recent month is marked as partial while it is still in progress.

Iframe Embed Code

You can add this MicroSim to any web page by adding this to your HTML:

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<iframe src="https://dmccreary.github.io/tracking-ai-course/sims/ai-release-frequency-monthly/main.html"
        height="472px"
        width="100%"
        scrolling="no"></iframe>

Updating the Data

Chart values live in a dataset shared by six MicroSims: ../ai-release-data/data.json. This chart reads the months[].value field. Add a new month to the months array (and recompute cumulative if you also use the cumulative chart). See ../ai-release-data/README.md for the full schema.

These MicroSims share the same dataset:

Lesson Plan

Grade Level

Adult professional / executive education (organizational AI-tracking course)

Duration

5-10 minutes

Prerequisites

None — pairs well with Combined Cumulative AI Model Releases.

Activities

  1. Exploration (3 min): Have learners identify the highest-volume and lowest-volume months on the chart.
  2. Guided Discussion (4 min): Discuss why release cadence is noisy month-to-month even when the year-over-year trend is clearly upward.
  3. Assessment (3 min): Ask learners why a single slow month should not be read as evidence that AI progress is stalling.

Assessment

Learners should be able to explain the difference between short-term noise and long-term trend in a time series, using this chart as the example.

References

  1. AI Release Tracker — Analytics — source of the underlying release-count data.
  2. Chart.js Documentation — charting library used to build this MicroSim.