Change frontend text

frontend/src/App.js

@@ -41,7 +41,7 @@ function App () {
     <PrimeReactProvider>
       <div style={{ height: '100%', display: 'flex', flexDirection: 'column' }}>
         <div style={{backgroundColor: '#fff3cd', color: '#856404', padding: '0.75rem 1.25rem', marginBottom: '1rem', border: '1px solid #ffeeba', borderRadius: '0.25rem', textAlign: 'center'}}>
-          <strong>Work in Progress:</strong> This dashboard is currently under active development. Data and features may change.
+          <strong>Work in Progress:</strong> This dashboard is currently under active development. Evaluation results are not yet final.
         </div>
         <header
           style={{
@@ -76,13 +76,14 @@ function App () {
           <div style={{maxWidth: '600px', textAlign: 'center', marginTop: '2rem'}}>
             <p>The <i>AI Language Proficiency Monitor</i> presents comprehensive multilingual evaluation results of AI language models.</p>
             <ul style={{textAlign: 'left'}}>
-              <li><b>Developers and researchers</b> can identify the best-performing model for any given language or region.</li>
-              <li><b>Policymakers and funders</b> can identify languages that are neglected by current AI systems and prioritize investment accordingly.</li>
-              <li><b>Model developers</b> gain a global metric of multilinguality that incentivizes broad language coverage.</li>
+              <li><b>Practitioners</b> can pick the best model for a given language.</li>
+              <li><b>Policymakers and funders</b> can identify and prioritize neglected languages.</li>
+              <li><b>Model developers</b> can compete on our <i>AI Language Proficiency</i> metric.</li>
             </ul>
-            <p>We also want to celebrate the community's effort towards multilingual datasets and models. We invite you to integrate additional benchmark datasets, and to add your custom language models to the monitor.</p>
-            <p>Benchmark results automatically refresh every night for the most popular AI models, as well as community-listed models. For a more detailed methodlogy, see <a href="#">our non-existing paper</a>.</p>
-            <p>The language monitor is a collaboration between BMZ's <a href="https://www.bmz-digital.global/en/overview-of-initiatives/the-bmz-data-lab/" target="_blank" rel="noopener noreferrer">Data Lab</a>, GIZ's <a href="https://www.giz.de/expertise/html/61982.html" target="_blank" rel="noopener noreferrer">FairForward</a> initiative, and the <a href="https://www.dfki.de/en/web/research/research-departments/multilinguality-and-language-technology/ee-team" target="_blank" rel="noopener noreferrer">E&E group</a> of DFKI's Multilinguality and Language Technology Lab.</p>
+            <p>We invite the community to <a href="#">submit</a> their custom finetuned models, and to <a href="#">integrate</a> benchmarks for more languages and tasks.</p>
+            <p>Benchmark results automatically refresh every night and include the most popular models on <a href="https://openrouter.ai" target="_blank" rel="noopener noreferrer">OpenRouter</a>, plus community-listed models.</p>
+            <p>For a detailed methodlogy, see <a href="#">XXX</a>.</p>
+            <p>The AI Language Proficiency Monitor is a collaboration between BMZ's <a href="https://www.bmz-digital.global/en/overview-of-initiatives/the-bmz-data-lab/" target="_blank" rel="noopener noreferrer">Data Lab</a>, GIZ's <a href="https://www.giz.de/expertise/html/61982.html" target="_blank" rel="noopener noreferrer">FairForward</a> initiative, and the <a href="https://www.dfki.de/en/web/research/research-departments/multilinguality-and-language-technology/ee-team" target="_blank" rel="noopener noreferrer">E&E group</a> of DFKI's Multilinguality and Language Technology Lab.</p>
           </div>
         </header>
         <main