Anthropic’s July 2026 launch of Claude Opus 5 quickly positioned the model at the top of the Humanity’s Last Exam leaderboard, reaching 64.7% with tools and outpacing prior Opus releases as well as competing frontier systems from OpenAI and Google. Successive 4.x Opus updates earlier in 2026 had similarly captured leading HLE scores shortly after release, underscoring Anthropic’s pattern of targeting complex multidisciplinary reasoning benchmarks through expanded context windows, default thinking modes, and tool integration. Trader sentiment reflects this cadence of incremental gains, with the next Opus iteration expected to build on the same engineering priorities amid a tightening gap among top models. Key near-term catalysts include any follow-on capability announcements or benchmark updates that could shift the current leader.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于下一个克劳德·奥普斯模特:人类的最后一次考试?
45%+
89%
50%+
93%
55%+
49%
60%+
28%
$722 交易量
45%+
89%
50%+
93%
55%+
49%
60%+
28%
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".
市场开放时间: Aug 17, 2026, 7:25 PM ET
Resolver
0x65070BE91...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".
Resolver
0x65070BE91...Anthropic’s July 2026 launch of Claude Opus 5 quickly positioned the model at the top of the Humanity’s Last Exam leaderboard, reaching 64.7% with tools and outpacing prior Opus releases as well as competing frontier systems from OpenAI and Google. Successive 4.x Opus updates earlier in 2026 had similarly captured leading HLE scores shortly after release, underscoring Anthropic’s pattern of targeting complex multidisciplinary reasoning benchmarks through expanded context windows, default thinking modes, and tool integration. Trader sentiment reflects this cadence of incremental gains, with the next Opus iteration expected to build on the same engineering priorities amid a tightening gap among top models. Key near-term catalysts include any follow-on capability announcements or benchmark updates that could shift the current leader.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于


警惕外部链接哦。
警惕外部链接哦。
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