Anthropic's frequent Opus updates, including the July 2026 launch of Opus 5 at the same pricing as prior versions, have driven strong HLE scores around 64.7% with tools, narrowing the gap to specialized variants like Fable 5.1 that currently lead the leaderboard at 65%. Traders focus on Anthropic's pattern of incremental gains in agentic coding, computer use, and multidisciplinary reasoning on this expert-authored benchmark, which tests frontier knowledge across math, science, and other domains. Competitive pressure from OpenAI's GPT series and Meta's Muse models keeps the field tight, while upcoming developer conferences or earnings calls could signal the next Opus iteration's timeline and feature set. Product timelines often shift, so market-implied odds reflect real capital at risk rather than guarantees.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於$18,878 交易量
45%+
96%
50%以上
91%
55%+
33%
60%+
17%
$18,878 交易量
45%+
96%
50%以上
91%
55%+
33%
60%+
17%
Any Anthropic Claude model newly added to the Humanity’s Last Exam results and labeled as "Opus" may qualify (e.g., claude-opus-5.1, claude-opus-5.5-thinking, claude-opus-6-preview, or similar). Claude models labeled only as Sonnet, Haiku, Fable, Mythos, or another non-Opus variant will not qualify.
The percentage displayed as "HLE Accuracy" for the model in its result card on the "AI Progress on Humanity’s Last Exam" chart at https://agi.safe.ai/ will be used to resolve this market. This market will resolve solely based on the displayed HLE Accuracy, regardless of the model’s Calibration Error, chart position, other configuration scores, or any underlying granular or unrounded data presented elsewhere.
If multiple qualifying models are added to the Humanity’s Last Exam results on the same calendar date (ET), the model with the highest HLE Accuracy will be used for resolution. Models added to the results on the calendar date following the initial qualifying model’s first appearance will not be considered. If a model is first added to the Humanity’s Last Exam results but is subsequently removed and not re-added, such that it is not displayed on the site at 12:00 PM ET on the calendar date following its first appearance, its appearance will not qualify as added to the Humanity’s Last Exam results.
A qualifying model must be newly added to the Humanity’s Last Exam results at https://agi.safe.ai/. Whether the model was previously released, publicly accessible, in beta, or otherwise available before appearing on the site is irrelevant for this market.
The resolution source for this market is the official Humanity’s Last Exam website found at https://agi.safe.ai/. If this resolution source is unavailable at 12:00 PM ET on the calendar date following the date on which the qualifying model first appears on the site, this market will resolve based on the first subsequent instance at which the model’s HLE Accuracy becomes available on the site. If it remains unavailable through the end of the seventh day after the qualifying model first appears on the site or if no qualifying model is added by December 31, 2026, 11:59 PM ET, this market will resolve to "No".
市場開放時間: Aug 17, 2026, 7:25 PM ET
Any Anthropic Claude model newly added to the Humanity’s Last Exam results and labeled as "Opus" may qualify (e.g., claude-opus-5.1, claude-opus-5.5-thinking, claude-opus-6-preview, or similar). Claude models labeled only as Sonnet, Haiku, Fable, Mythos, or another non-Opus variant will not qualify.
The percentage displayed as "HLE Accuracy" for the model in its result card on the "AI Progress on Humanity’s Last Exam" chart at https://agi.safe.ai/ will be used to resolve this market. This market will resolve solely based on the displayed HLE Accuracy, regardless of the model’s Calibration Error, chart position, other configuration scores, or any underlying granular or unrounded data presented elsewhere.
If multiple qualifying models are added to the Humanity’s Last Exam results on the same calendar date (ET), the model with the highest HLE Accuracy will be used for resolution. Models added to the results on the calendar date following the initial qualifying model’s first appearance will not be considered. If a model is first added to the Humanity’s Last Exam results but is subsequently removed and not re-added, such that it is not displayed on the site at 12:00 PM ET on the calendar date following its first appearance, its appearance will not qualify as added to the Humanity’s Last Exam results.
A qualifying model must be newly added to the Humanity’s Last Exam results at https://agi.safe.ai/. Whether the model was previously released, publicly accessible, in beta, or otherwise available before appearing on the site is irrelevant for this market.
The resolution source for this market is the official Humanity’s Last Exam website found at https://agi.safe.ai/. If this resolution source is unavailable at 12:00 PM ET on the calendar date following the date on which the qualifying model first appears on the site, this market will resolve based on the first subsequent instance at which the model’s HLE Accuracy becomes available on the site. If it remains unavailable through the end of the seventh day after the qualifying model first appears on the site or if no qualifying model is added by December 31, 2026, 11:59 PM ET, this market will resolve to "No".
Anthropic's frequent Opus updates, including the July 2026 launch of Opus 5 at the same pricing as prior versions, have driven strong HLE scores around 64.7% with tools, narrowing the gap to specialized variants like Fable 5.1 that currently lead the leaderboard at 65%. Traders focus on Anthropic's pattern of incremental gains in agentic coding, computer use, and multidisciplinary reasoning on this expert-authored benchmark, which tests frontier knowledge across math, science, and other domains. Competitive pressure from OpenAI's GPT series and Meta's Muse models keeps the field tight, while upcoming developer conferences or earnings calls could signal the next Opus iteration's timeline and feature set. Product timelines often shift, so market-implied odds reflect real capital at risk rather than guarantees.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於


警惕外部連結哦。
警惕外部連結哦。
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