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Update modules/ui/ui.py

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  1. modules/ui/ui.py +14 -30
modules/ui/ui.py CHANGED
@@ -639,39 +639,23 @@ def display_videos_and_info(lang_code, landing_t):
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  <div class="section-title">Kaggle/Google - $100K</div>
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  <strong>Explainable AI Models</strong><br>
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- <em>Google Research</em><br>
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- Research in interpretable AI for education
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- More info: https://
 
 
 
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  <div class="section-title">Learning Tools Competition - $100K</div>
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- <strong>Phase II - Top 50 Global</strong><br>
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- <em>International Society for Technology in Education (ISTE)</em><br>
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- Competing with 1,200 projects from 75 countries
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- More info: https://tools-competition.org/
 
 
 
 
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- </div>
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- """,
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-
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- 'es': """
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- <div class="content-text">
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- <div class="highlight-box">
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- Competimos por <strong>$950K USD</strong> en premios en múltiples competencias prestigiosas.
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- </div>
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-
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- <div class="section-title">Learning Tools Competition - $600K</div>
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- <strong>Fase II - Top 50 Global</strong><br>
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- <em>International Society for Technology in Education (ISTE)</em><br>
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- Compitiendo con 1,200 proyectos de 75 países
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-
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- <div class="section-title">NVIDIA Inception - $250K</div>
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- <strong>Programa de Capital de Riesgo</strong><br>
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- <em>NVIDIA Corporation</em><br>
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- Programa exclusivo para startups de Deep Tech
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-
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- <div class="section-title">Kaggle/Google - $100K</div>
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- <strong>Modelos Explicables de IA</strong><br>
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- <em>Google Research</em><br>
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- Investigación en IA interpretable para educación
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  </div>
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  """
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  }
 
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  <div class="section-title">Kaggle/Google - $100K</div>
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  <strong>Explainable AI Models</strong><br>
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+ <em>Google Tunix Hack - Train a model to show its work</em><br>
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+ <p>Most open-source or open-weight language models can give you an answer. But they typically don’t ‘show their work’
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+ - the steps they went through to arrive at that conclusion in a consistent manner. Here, you’ll use Tunix,
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+ Google’s new JAX-native library for LLM post-training, to train a model to show its work by laying out a
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+ reasoning trace before landing on an answer.</p>
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+ More info: https://kaggle.com/competitions/google-tunix-hackathon
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  <div class="section-title">Learning Tools Competition - $100K</div>
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+ <strong>Datasets for Education Innovation</strong><br>
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+ <em> Phase II </em><br>
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+ <p>The 2026 Tools Competition launches at a time of rapid change, rising urgency,
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+ and widespread demand for understanding and direction amidst evolving technology.
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+ Learners of all ages face new demands driven by AI,
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+ shifting labor markets, and persistent inequities. From early learning to workforce development,
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+ they need tools that are more effective, inclusive, and future-ready.</p>
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+ More info: https://tools-competition.org/26-overview/
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  </div>
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  """
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  }