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GroupPOLYMARKET

Event GroupPOLYMARKETTech

Google Gemini score on Humanity’s Last Exam by June 30?

Name: Google Gemini score on Humanity’s Last Exam by June 30?
End: 2026-03-31T00:00:00.000Z

Total Volume

$310.16K

Events

Markets

Trade on Polymarket

Google Gemini score on Humanity’s Last Exam by June 30?

Vol

$310.16K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $310.16K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $310.16K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

3 markets tracked

Will Google Gemini score at least 50% on Humanity’s Last Exam?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Will Google Gemini score at least 50% on Humanity’s Last Exam?	Poly	52%
Will Google Gemini score at least 55% on Humanity’s Last Exam?	Poly	12%
Will Google Gemini score at least 60% on Humanity’s Last Exam?	Poly	8%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

52%

Top Probability

$310.16K

Volume

Markets

Platforms

About This Event

This market will resolve to "Yes" if the Humanity’s Last Exam leaderboard lists any Google Gemini 3 model with a score of at least the specified score by March 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No". The resolution source will be the official Humanity’s Last Exam leaderboard https://scale.com/leaderboard/humanitys_last_exam.

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

Tap to expand

Open in:ChatGPT Claude Gemini Grok DeepSeek

**Role:** Expert Prediction Market Analyst & Trader
**Objective:** Analyze the provided betting market data to deliver actionable insights, identify mispricings, and perform scenario analysis.
**Current Date:** Tuesday, July 14, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Google Gemini score on Humanity’s Last Exam by June 30?
**Category:** Tech | **Status:** active
**Resolution Date:** Mar 31, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market will resolve to "Yes" if the Humanity’s Last Exam leaderboard lists any Google Gemini 3 model with a score of at least the specified score by March 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".

The resolution source will be the official Humanity’s Last Exam leaderboard https://scale.com/leaderboard/humanitys_last_exam.

**Resolution Criteria (Sample):**
"This market will resolve to "Yes" if the Humanity’s Last Exam leaderboard lists any Google Gemini model with a score of at least the specified score by June 30, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".

The resolution source will be the official Humanity’s Last Exam leaderboar"

## 2. Market liquidity & Volume
* **Total Volume:** $163.7K
* **Total Liquidity:** $2.0K
* **Activity Level:** Very High Turnover (Vol/Liq Ratio: 83.39)

## 3. Market Data (Prices & Odds)
### 1. Will Google Gemini score at least 55% on Humanity’s Last Exam?
- **Polymarket** (End: Feb 28, 2026): Vol $62.7K
  DATA: [Yes: 12.0% (0.0%)] | [No: 88.0% (0.0%)]

### 2. Will Google Gemini score at least 60% on Humanity’s Last Exam?
- **Polymarket** (End: Feb 28, 2026): Vol $17.9K
  DATA: [Yes: 8.4% (0.0%)] | [No: 91.6% (0.0%)]

### 3. Will Google Gemini score at least 50% on Humanity’s Last Exam?
- **Polymarket** (End: Feb 28, 2026): Vol $83.1K
  DATA: [Yes: 51.5% (0.0%)] | [No: 48.5% (0.0%)]

---

## Analysis Instructions
Please provide a structured analysis using the following template:

### 1. Executive Summary
*   **Verdict:** [Most Likely Outcome]
*   **Confidence:** [0-100]%
*   **Timeframe:** [Immediate / Short-term / Long-term]
*   **Actionable Trade:** [Buy YES / Buy NO / Stay Away] (Include entry price target if applicable)
*   **Rationale:** 2-sentence summary of the core thesis.

### 2. Scenario Analysis
*   **Bull Case (Why YES goes up):** List specific catalysts or data points.
*   **Bear Case (Why YES goes down):** List specifics.
*   **Invalidation Point:** What happens to prove your thesis wrong?

### 3. Market Mechanics & Risks
*   **Liquidity/Volume Analysis:** Is the market efficient? Is it easy to exit?
*   **Cross-Platform Arbitrage:** (If applicable) Is the spread tradeable after fees?
*   **Time Decay:** How does time passing affect this position?

### 4. Signal Scores (0-100)
*   **Momentum:** [Score] (Price trend & velocity)
*   **Conviction:** [Score] (Volume backing the move)
*   **Information Edge:** [Score] (Likelihood of non-public info affecting price)
*   **Risk/Reward:** [Score] (Potential upside vs downside)

**Constraints:**
- Be direct and objective.
- Use bullet points for readability.
- If data is conflicting or insufficient, explicitly state "Low Confidence".

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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETTech