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AI Bubble Oracle: inspect the assumptions behind the historical analogy

AI Bubble Oracle is an experimental dashboard aligning dot-com history with AI-era indicators. A hierarchy combines valuation, concentration, capital investment, speculation and monetary context, while a separate page monitors a named Polymarket contract.

2.5/ 5Editorial ratingEditorial assessment
Open AI Bubble Oracleaibubbleoracle.com
Available on
Web
Pricing
The public experimental dashboard is accessible without a displayed paid plan.

Screenshots and interface

Product preview1 / 1

Metric contributions and projected dates.

What is AI Bubble Oracle?

Then and Now places the eras on a normalized clock. Expand a projection to see its contributing metrics, then change anchors, smoothing, matching rules or weights. Metrics that do not fit can show no projection; those counterexamples are part of the analysis.

The contract monitor is independent of the analogy and has no resolution authority. Its legend separates a current crossing, a crossing retained after recovery and a condition without an automated source. Missing automation does not mean false; read the original rules and the UMA resolution process.

Who it is for

  • Technology-cycle researchers.
  • Users testing historical-anchor sensitivity.
  • Readers comparing macro context and contracts.

Research coverage and methods

  • Metric hierarchy

    Expand parent and leaf contributors.

  • Era alignment

    Compare both eras on a shared normalized timeline.

  • Starting anchors

    Choose alternative starting events for either era.

  • Smoothing

    Compare 1-month and 3-month smoothing.

  • Shape matching

    Compare first-crossing and dominant-climb matching.

  • Editable weights

    Inspect and change parent contributions.

  • Visible counterexamples

    Retain no-projection series that fail the analogy.

  • CSV export

    Download the displayed analytical data.

  • Projection drift

    Sort by movement in estimated dates.

  • Contract-condition monitor

    The named contract uses a 3-of-6 condition rule over 90 days; the legend distinguishes present, recovered and unautomated conditions.

Research tasks

Inspect a headline date

Expand the branches and identify the largest contributors.

Test assumptions

Change anchors, smoothing and matching and compare resulting dates.

Read counterevidence

Inspect no-projection metrics before accepting the historical analogy.

Separate contract status

Distinguish a current crossing from a retained 90-day crossing and missing automation, then read original contract rules.

Pricing and total cost

The public experimental dashboard is accessible without a displayed paid plan.

Research inputs and access

  1. Open Then and Now, expand a branch and read Options & assumptions.
  2. Compare anchors and smoothing and inspect no-projection series.
  3. Export the data when needed.

Read methodology and data inputs

Open the contract-condition monitor

Useful links

What to check

  • The timeline is an experimental shape comparison.
  • Short anchor histories can destabilize dates or exceed the display horizon.
  • Centered smoothing differs from real-time signal information.
  • A condition lacking automation must not be classified as false.
  • Projected dates are historical-shape analogies, not calibrated event probabilities.

A closer look

Ratings & reviews

Editorial rating
2.5/ 5
0 user reviews
PredictionToolkit editorial

Our take on AI Bubble Oracle

Editable assumptions and exports expose how the analogy is constructed. The timeline remains an experimental comparison rather than a calibrated forecast.

Assessment criteria
Task usefulness, documented scope, setup clarity, and access and cost transparency.
Assessment date
Documentation reviewed

Documentation-based assessment. How we rate

User reviews 0

The main score switches to user ratings after 5 published reviews.

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Frequently asked questions about AI Bubble Oracle

Why is there no projection for a metric?

Its shape does not fit the chosen analogy.

Can assumptions change?

Anchors, smoothing and weights are editable.

Is the headline a market probability?

It is a model timeline conditional on assumptions.

Does the monitor resolve the contract?

No. The author points to Polymarket’s UMA process and human interpretation; this independent monitor has no authority.

Is H100 a complete rental benchmark?

Vast.ai is listed as a rental proxy, with its own coverage rather than every supplier and contract.