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Browse files- src/about.py +1 -0
src/about.py
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@@ -5,6 +5,7 @@ WHAT_IS_F1_HTML_TOP = f"""
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<div align="center"><header class="text-center mb-12"><h1 class="text-4xl md:text-5xl font-bold text-gray-900 f1-h1" style="margin:0; display:inline;">FormulaOne</h1><span style="display:inline-block; margin-left:0.5em;"><h3 style="margin:0; display:inline;" class="text-4xl md:text-5xl font-bold text-gray-900 f1-h3 style=">by <a href="https://doubleai.com/">AAI</a></h3></header></div>
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<section>
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<p class="text-lg mb-4 f1-p">Frontier AI models have recently demonstrated strong performance on mathematical and algorithmic benchmarks, including earning <a href="https://deepmind.google/discover/blog/advanced-version-of-gemini-with-deep-think-officially-achieves-gold-medal-standard-at-the-international-mathematical-olympiad/" target="_blank" rel="noopener noreferrer" class="f1-a">gold medals in olympiads</a>, and attaining <a href="https://arxiv.org/html/2502.06807v1" target="_blank" rel="noopener noreferrer" class="f1-a">top percentile ratings</a> in competitive programming contests. How well do such benchmarks capture the true depth of algorithmic reasoning, as it arises in real-world research problems?</p>
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<p class="text-lg mb-4 f1-p">We believe that existing benchmarks fail to capture the deep reasoning skills required for complex, research-level algorithmic problems. To address this gap, <a href="{PAPER_URL}" target="_blank" rel="noopener noreferrer" class="f1-a">we introduce <strong>FormulaOne</strong></a>.</p>
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<div class="f1-container">
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<div align="center"><header class="text-center mb-12"><h1 class="text-4xl md:text-5xl font-bold text-gray-900 f1-h1" style="margin:0; display:inline;">FormulaOne</h1><span style="display:inline-block; margin-left:0.5em;"><h3 style="margin:0; display:inline;" class="text-4xl md:text-5xl font-bold text-gray-900 f1-h3 style=">by <a href="https://doubleai.com/">AAI</a></h3></header></div>
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<section>
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<p class="text-lg mb-4 f1-p">Frontier AI models have recently demonstrated strong performance on mathematical and algorithmic benchmarks, including earning <a href="https://deepmind.google/discover/blog/advanced-version-of-gemini-with-deep-think-officially-achieves-gold-medal-standard-at-the-international-mathematical-olympiad/" target="_blank" rel="noopener noreferrer" class="f1-a">gold medals in olympiads</a>, and attaining <a href="https://arxiv.org/html/2502.06807v1" target="_blank" rel="noopener noreferrer" class="f1-a">top percentile ratings</a> in competitive programming contests. How well do such benchmarks capture the true depth of algorithmic reasoning, as it arises in real-world research problems?</p>
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<p class="text-lg mb-4 f1-p">We believe that existing benchmarks fail to capture the deep reasoning skills required for complex, research-level algorithmic problems. To address this gap, <a href="{PAPER_URL}" target="_blank" rel="noopener noreferrer" class="f1-a">we introduce <strong>FormulaOne</strong></a>.</p>
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