Google DeepMind’s recent unveiling of an agentic “AI co-mathematician” system built on Gemini 3.1 Pro delivered a sharp lift in FrontierMath performance, posting 48% on the hardest Tier 4 research problems—more than double the base model’s 19%—via multi-agent orchestration and extended compute. This development has tightened trader focus on whether upcoming Gemini iterations or similar scaffolding can push overall scores past key thresholds before the June 30 cutoff. Base Gemini releases still trail OpenAI’s GPT-5.5 Pro, which leads the leaderboard near 52%, while an ongoing Epoch AI review of problem errors adds minor uncertainty to final evaluations. Google I/O on May 19–20 remains the next likely catalyst for model updates or capability previews that could shift sentiment.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado$136,324 Vol.
28 feb 2026
40%+
86%
45%+
60%
50%+
63%
60%+
54%
$136,324 Vol.
40%+
$30,573 Vol.
86%
45%+
$49,669 Vol.
60%
50%+
$18,855 Vol.
63%
60%+
$37,227 Vol.
54%
This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used. Google DeepMind’s recent unveiling of an agentic “AI co-mathematician” system built on Gemini 3.1 Pro delivered a sharp lift in FrontierMath performance, posting 48% on the hardest Tier 4 research problems—more than double the base model’s 19%—via multi-agent orchestration and extended compute. This development has tightened trader focus on whether upcoming Gemini iterations or similar scaffolding can push overall scores past key thresholds before the June 30 cutoff. Base Gemini releases still trail OpenAI’s GPT-5.5 Pro, which leads the leaderboard near 52%, while an ongoing Epoch AI review of problem errors adds minor uncertainty to final evaluations. Google I/O on May 19–20 remains the next likely catalyst for model updates or capability previews that could shift sentiment.
This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.
Mercado abierto: Feb 6, 2026, 6:03 PM ET
Volumen
$136,324Fecha de finalización
30 jun 2026Mercado abierto
Feb 6, 2026, 6:03 PM ETResolver
0x65070BE91...This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used. Google DeepMind’s recent unveiling of an agentic “AI co-mathematician” system built on Gemini 3.1 Pro delivered a sharp lift in FrontierMath performance, posting 48% on the hardest Tier 4 research problems—more than double the base model’s 19%—via multi-agent orchestration and extended compute. This development has tightened trader focus on whether upcoming Gemini iterations or similar scaffolding can push overall scores past key thresholds before the June 30 cutoff. Base Gemini releases still trail OpenAI’s GPT-5.5 Pro, which leads the leaderboard near 52%, while an ongoing Epoch AI review of problem errors adds minor uncertainty to final evaluations. Google I/O on May 19–20 remains the next likely catalyst for model updates or capability previews that could shift sentiment.
This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.
Volumen
$136,324Fecha de finalización
30 jun 2026Mercado abierto
Feb 6, 2026, 6:03 PM ETResolver
0x65070BE91...Google DeepMind’s recent unveiling of an agentic “AI co-mathematician” system built on Gemini 3.1 Pro delivered a sharp lift in FrontierMath performance, posting 48% on the hardest Tier 4 research problems—more than double the base model’s 19%—via multi-agent orchestration and extended compute. This development has tightened trader focus on whether upcoming Gemini iterations or similar scaffolding can push overall scores past key thresholds before the June 30 cutoff. Base Gemini releases still trail OpenAI’s GPT-5.5 Pro, which leads the leaderboard near 52%, while an ongoing Epoch AI review of problem errors adds minor uncertainty to final evaluations. Google I/O on May 19–20 remains the next likely catalyst for model updates or capability previews that could shift sentiment.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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