Rapid progress on Epoch AI’s FrontierMath benchmark, where leading large language models now solve 80-88% of its unpublished, research-level math problems, underpins the 83.5% market-implied odds for reaching 90% accuracy before 2027. Claude Fable 5 and GPT-5.6 variants posted these scores on the June 2026 v2 dataset of 338 vetted problems spanning number theory to algebraic geometry, following earlier jumps from sub-2% in late 2024 to over 30% by early 2025. Sustained scaling of reasoning-focused training, combined with competitive releases expected through year-end, drives trader consensus that expert-level performance on this benchmark remains attainable within the next five months.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว$113,658 ปริมาณ
$113,658 ปริมาณ
Dec 31, 2026
$113,658 ปริมาณ
$113,658 ปริมาณ
Dec 31, 2026
This market will resolve to "Yes" if a state-of-the-art (SOTA) AI model achieves a score of 90% or greater on the FrontierMath Exam by December 31, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used. Rapid progress on Epoch AI’s FrontierMath benchmark, where leading large language models now solve 80-88% of its unpublished, research-level math problems, underpins the 83.5% market-implied odds for reaching 90% accuracy before 2027. Claude Fable 5 and GPT-5.6 variants posted these scores on the June 2026 v2 dataset of 338 vetted problems spanning number theory to algebraic geometry, following earlier jumps from sub-2% in late 2024 to over 30% by early 2025. Sustained scaling of reasoning-focused training, combined with competitive releases expected through year-end, drives trader consensus that expert-level performance on this benchmark remains attainable within the next five months.
This market will resolve to "Yes" if a state-of-the-art (SOTA) AI model achieves a score of 90% or greater on the FrontierMath Exam by December 31, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
ตลาดเปิดเมื่อ: Nov 12, 2025, 5:15 PM ET
ปริมาณการซื้อขาย
$113,658วันสิ้นสุด
Dec 31, 2026ตลาดเปิดเมื่อ
Nov 12, 2025, 5:15 PM ETResolver
0x65070BE91...This market will resolve to "Yes" if a state-of-the-art (SOTA) AI model achieves a score of 90% or greater on the FrontierMath Exam by December 31, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used. Rapid progress on Epoch AI’s FrontierMath benchmark, where leading large language models now solve 80-88% of its unpublished, research-level math problems, underpins the 83.5% market-implied odds for reaching 90% accuracy before 2027. Claude Fable 5 and GPT-5.6 variants posted these scores on the June 2026 v2 dataset of 338 vetted problems spanning number theory to algebraic geometry, following earlier jumps from sub-2% in late 2024 to over 30% by early 2025. Sustained scaling of reasoning-focused training, combined with competitive releases expected through year-end, drives trader consensus that expert-level performance on this benchmark remains attainable within the next five months.
This market will resolve to "Yes" if a state-of-the-art (SOTA) AI model achieves a score of 90% or greater on the FrontierMath Exam by December 31, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
The primary resolution source will be information from EpochAI however a consensus of credible reporting may also be used.
ปริมาณการซื้อขาย
$113,658วันสิ้นสุด
Dec 31, 2026ตลาดเปิดเมื่อ
Nov 12, 2025, 5:15 PM ETResolver
0x65070BE91...Rapid progress on Epoch AI’s FrontierMath benchmark, where leading large language models now solve 80-88% of its unpublished, research-level math problems, underpins the 83.5% market-implied odds for reaching 90% accuracy before 2027. Claude Fable 5 and GPT-5.6 variants posted these scores on the June 2026 v2 dataset of 338 vetted problems spanning number theory to algebraic geometry, following earlier jumps from sub-2% in late 2024 to over 30% by early 2025. Sustained scaling of reasoning-focused training, combined with competitive releases expected through year-end, drives trader consensus that expert-level performance on this benchmark remains attainable within the next five months.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว
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