Meta’s Muse Spark series has emerged as a strong contender on Humanity’s Last Exam leaderboards in September 2026, with Muse Spark 1.3 posting 49.1% on Artificial Analysis and Muse Spark 1.1 reaching 62.1% on BenchLM—placing it just behind leading Claude Fable and Opus variants. This positioning reflects Meta’s emphasis on efficient, high-reasoning large language models that compete on frontier benchmarks without matching the parameter scale or closed training of Anthropic and OpenAI systems. Recent releases and iterative scaling have narrowed the gap from earlier 2026 lows, though Anthropic models currently hold the overall edge. Key catalysts ahead include Meta’s expected late-2026 model updates, potential tool-augmented or higher-effort evaluations, and any shifts in benchmark protocols that could favor cost-optimized architectures. Traders monitor these releases closely, as each new Muse iteration directly influences implied probabilities for the year’s highest Meta score.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया$65,939 वॉल्यूम
31 दिस, 2026
55%+
26%
60%+
16%
65%+
18%
70%+
6%
$65,939 वॉल्यूम
55%+
$41,534 वॉल्यूम
26%
60%+
$13,758 वॉल्यूम
16%
65%+
$8,760 वॉल्यूम
18%
70%+
$1,887 वॉल्यूम
6%
This market will resolve to "Yes" if any model published by Meta 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".Meta’s Muse Spark series has emerged as a strong contender on Humanity’s Last Exam leaderboards in September 2026, with Muse Spark 1.3 posting 49.1% on Artificial Analysis and Muse Spark 1.1 reaching 62.1% on BenchLM—placing it just behind leading Claude Fable and Opus variants. This positioning reflects Meta’s emphasis on efficient, high-reasoning large language models that compete on frontier benchmarks without matching the parameter scale or closed training of Anthropic and OpenAI systems. Recent releases and iterative scaling have narrowed the gap from earlier 2026 lows, though Anthropic models currently hold the overall edge. Key catalysts ahead include Meta’s expected late-2026 model updates, potential tool-augmented or higher-effort evaluations, and any shifts in benchmark protocols that could favor cost-optimized architectures. Traders monitor these releases closely, as each new Muse iteration directly influences implied probabilities for the year’s highest Meta score.
This market will resolve to "Yes" if any model published by Meta 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".
बाज़ार खुला: Jul 23, 2026, 6:48 PM ET
वॉल्यूम
$65,939समाप्ति तिथि
1 जन, 2027बाज़ार खुला
Jul 23, 2026, 6:48 PM ETसमाधान स्रोत
https://agi.safe.ai/रिज़ॉल्वर
0x65070BE91...This market will resolve to "Yes" if any model published by Meta 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".Meta’s Muse Spark series has emerged as a strong contender on Humanity’s Last Exam leaderboards in September 2026, with Muse Spark 1.3 posting 49.1% on Artificial Analysis and Muse Spark 1.1 reaching 62.1% on BenchLM—placing it just behind leading Claude Fable and Opus variants. This positioning reflects Meta’s emphasis on efficient, high-reasoning large language models that compete on frontier benchmarks without matching the parameter scale or closed training of Anthropic and OpenAI systems. Recent releases and iterative scaling have narrowed the gap from earlier 2026 lows, though Anthropic models currently hold the overall edge. Key catalysts ahead include Meta’s expected late-2026 model updates, potential tool-augmented or higher-effort evaluations, and any shifts in benchmark protocols that could favor cost-optimized architectures. Traders monitor these releases closely, as each new Muse iteration directly influences implied probabilities for the year’s highest Meta score.
This market will resolve to "Yes" if any model published by Meta 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".
वॉल्यूम
$65,939समाप्ति तिथि
1 जन, 2027बाज़ार खुला
Jul 23, 2026, 6:48 PM ETसमाधान स्रोत
https://agi.safe.ai/रिज़ॉल्वर
0x65070BE91...Meta’s Muse Spark series has emerged as a strong contender on Humanity’s Last Exam leaderboards in September 2026, with Muse Spark 1.3 posting 49.1% on Artificial Analysis and Muse Spark 1.1 reaching 62.1% on BenchLM—placing it just behind leading Claude Fable and Opus variants. This positioning reflects Meta’s emphasis on efficient, high-reasoning large language models that compete on frontier benchmarks without matching the parameter scale or closed training of Anthropic and OpenAI systems. Recent releases and iterative scaling have narrowed the gap from earlier 2026 lows, though Anthropic models currently hold the overall edge. Key catalysts ahead include Meta’s expected late-2026 model updates, potential tool-augmented or higher-effort evaluations, and any shifts in benchmark protocols that could favor cost-optimized architectures. Traders monitor these releases closely, as each new Muse iteration directly influences implied probabilities for the year’s highest Meta score.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गयासंबंधित
क्या 2026 में 'ह्यूमैनिटीज़ लास्ट एग्जाम' में प्राप्त की गई सबसे अधिक स्कोर 60% या उससे अधिक होगी?
44%
हाँ
क्या 2026 में Humanity’s Last Exam में OpenAI मॉडल द्वारा प्राप्त की गई सर्वोच्च स्कोर 55% या उससे अधिक होगी?
78%
हाँ
क्या 2026 में ह्युमैनिटीज़ लास्ट एग्ज़ाम में ऐन्थ्रॉपिक क्लॉड मॉडल द्वारा प्राप्त किया गया सर्वोच्च स्कोर 55% या उससे अधिक होगा?
86%
हाँ
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