Google's rapid release cadence for the Gemini 3.x series, including Gemini 3.8 Flash and 3.8 Live variants in September 2026, drives trader focus on whether any model can close the gap on Humanity’s Last Exam (HLE), a demanding 2,500-question benchmark testing expert-level reasoning across mathematics, physics, biology, and other domains. Current Gemini entries, such as 3.7 and 3.8 Flash, post scores near 47-48% on text-only evaluations, trailing Anthropic’s Claude Fable 5.1 and Opus 5 models at 59-65%. Frequent iterations emphasize agentic reasoning, multi-step problem solving, and reduced errors, with pre-training for Gemini 4 expected later this year as a potential catalyst. Traders weigh Google DeepMind’s historical scaling advantages against the benchmark’s design to reward specialized knowledge where frontier large language models still face substantial headroom.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড$88,901 Vol.
Dec 31, 2026
50%+
90%
55%+
40%
60%+
21%
65%+
12%
70%+
4%
$88,901 Vol.
50%+
$30,496 Vol.
90%
55%+
$33,131 Vol.
40%
60%+
$15,671 Vol.
21%
65%+
$5,246 Vol.
12%
70%+
$4,358 Vol.
4%
This market will resolve to "Yes" if any Google Gemini model achieves at least the specified accuracy on Humanity’s Last Exam by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".Google's rapid release cadence for the Gemini 3.x series, including Gemini 3.8 Flash and 3.8 Live variants in September 2026, drives trader focus on whether any model can close the gap on Humanity’s Last Exam (HLE), a demanding 2,500-question benchmark testing expert-level reasoning across mathematics, physics, biology, and other domains. Current Gemini entries, such as 3.7 and 3.8 Flash, post scores near 47-48% on text-only evaluations, trailing Anthropic’s Claude Fable 5.1 and Opus 5 models at 59-65%. Frequent iterations emphasize agentic reasoning, multi-step problem solving, and reduced errors, with pre-training for Gemini 4 expected later this year as a potential catalyst. Traders weigh Google DeepMind’s historical scaling advantages against the benchmark’s design to reward specialized knowledge where frontier large language models still face substantial headroom.
This market will resolve to "Yes" if any Google Gemini model achieves at least the specified accuracy on Humanity’s Last Exam by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".
মার্কেট ওপেন হয়েছে: Jul 23, 2026, 6:56 PM ET
ভলিউম
$88,901শেষ তারিখ
Jan 1, 2027মার্কেট ওপেন হয়েছে
Jul 23, 2026, 6:56 PM ETরেজলভার
0x65070BE91...This market will resolve to "Yes" if any Google Gemini model achieves at least the specified accuracy on Humanity’s Last Exam by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".Google's rapid release cadence for the Gemini 3.x series, including Gemini 3.8 Flash and 3.8 Live variants in September 2026, drives trader focus on whether any model can close the gap on Humanity’s Last Exam (HLE), a demanding 2,500-question benchmark testing expert-level reasoning across mathematics, physics, biology, and other domains. Current Gemini entries, such as 3.7 and 3.8 Flash, post scores near 47-48% on text-only evaluations, trailing Anthropic’s Claude Fable 5.1 and Opus 5 models at 59-65%. Frequent iterations emphasize agentic reasoning, multi-step problem solving, and reduced errors, with pre-training for Gemini 4 expected later this year as a potential catalyst. Traders weigh Google DeepMind’s historical scaling advantages against the benchmark’s design to reward specialized knowledge where frontier large language models still face substantial headroom.
This market will resolve to "Yes" if any Google Gemini model achieves at least the specified accuracy on Humanity’s Last Exam by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".
ভলিউম
$88,901শেষ তারিখ
Jan 1, 2027মার্কেট ওপেন হয়েছে
Jul 23, 2026, 6:56 PM ETরেজলভার
0x65070BE91...Google's rapid release cadence for the Gemini 3.x series, including Gemini 3.8 Flash and 3.8 Live variants in September 2026, drives trader focus on whether any model can close the gap on Humanity’s Last Exam (HLE), a demanding 2,500-question benchmark testing expert-level reasoning across mathematics, physics, biology, and other domains. Current Gemini entries, such as 3.7 and 3.8 Flash, post scores near 47-48% on text-only evaluations, trailing Anthropic’s Claude Fable 5.1 and Opus 5 models at 59-65%. Frequent iterations emphasize agentic reasoning, multi-step problem solving, and reduced errors, with pre-training for Gemini 4 expected later this year as a potential catalyst. Traders weigh Google DeepMind’s historical scaling advantages against the benchmark’s design to reward specialized knowledge where frontier large language models still face substantial headroom.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড
বাহ্যিক লিংক থেকে সাবধান।
বাহ্যিক লিংক থেকে সাবধান।
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