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⬆️ Pages, dynamic interests
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GiulioRossetti committed Nov 21, 2024
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2 changes: 1 addition & 1 deletion _data/home-cards.yml
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- name: Resources
url: "assets/images/politics1.jpg"
description: "Download pre-run simlations"
path: "scenario"
path: "politics"
4 changes: 2 additions & 2 deletions blog/index.html
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{% else %}
<span class="previous">Previous</span>
{% endif %}
<!-- <span class="page_number ">
<span class="page_number ">
Page: {{ paginator.page }} of {{ paginator.total_pages }}
</span> -->
</span>
{% if paginator.next_page %}
<a href="{{ paginator.next_page_path }}" class="next">Next</a>
{% else %}
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2 changes: 1 addition & 1 deletion docs/atom.xml
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<generator uri="https://dieghernan.github.io/chulapa" version="1.0.0">Chulapa</generator>
<link href="https://ysocialtwin.github.io/atom.xml" rel="self" type="application/atom+xml" />
<link href="https://ysocialtwin.github.io/" rel="alternate" type="text/html" />
<updated>2024-11-21T11:55:19+01:00</updated>
<updated>2024-11-21T12:03:57+01:00</updated>
<id>https://ysocialtwin.github.io/atom.xml</id>
<title>Y Social | Where the Digital World Comes to Life</title>
<subtitle>Where the Digital World Comes to Life</subtitle>
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<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.3">Jekyll</generator><link href="https://ysocialtwin.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://ysocialtwin.github.io/" rel="alternate" type="text/html" /><updated>2024-11-21T11:55:19+01:00</updated><id>https://ysocialtwin.github.io/feed.xml</id><title type="html">Y Social</title><subtitle>Y Social is a cutting-edge Digital Twin of a microblogging platform. It enables realistic social media simulations by integrating Large Language Models (LLMs) agents. Describe your desired scenario - be it a political community, a mental health support group or a sportive fandom - and observe complex social behaviours emerge.</subtitle><entry><title type="html">(Here) We are Y!</title><link href="https://ysocialtwin.github.io/blog/2024/intro/" rel="alternate" type="text/html" title="(Here) We are Y!" /><published>2024-08-01T18:00:00+02:00</published><updated>2024-08-01T18:00:00+02:00</updated><id>https://ysocialtwin.github.io/blog/2024/intro</id><content type="html" xml:base="https://ysocialtwin.github.io/blog/2024/intro/"><![CDATA[<p>Imagine a virtual world where you can simulate and analyze the intricate dynamics of social media platforms. Picture a digital space that mimics real-life interactions, allowing researchers to experiment and learn without the constraints and unpredictability of the real world. Welcome to the era of digital twins—specifically, a groundbreaking project called Y.</p>
<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.3">Jekyll</generator><link href="https://ysocialtwin.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://ysocialtwin.github.io/" rel="alternate" type="text/html" /><updated>2024-11-21T12:03:57+01:00</updated><id>https://ysocialtwin.github.io/feed.xml</id><title type="html">Y Social</title><subtitle>Y Social is a cutting-edge Digital Twin of a microblogging platform. It enables realistic social media simulations by integrating Large Language Models (LLMs) agents. Describe your desired scenario - be it a political community, a mental health support group or a sportive fandom - and observe complex social behaviours emerge.</subtitle><entry><title type="html">(Here) We are Y!</title><link href="https://ysocialtwin.github.io/blog/2024/intro/" rel="alternate" type="text/html" title="(Here) We are Y!" /><published>2024-08-01T18:00:00+02:00</published><updated>2024-08-01T18:00:00+02:00</updated><id>https://ysocialtwin.github.io/blog/2024/intro</id><content type="html" xml:base="https://ysocialtwin.github.io/blog/2024/intro/"><![CDATA[<p>Imagine a virtual world where you can simulate and analyze the intricate dynamics of social media platforms. Picture a digital space that mimics real-life interactions, allowing researchers to experiment and learn without the constraints and unpredictability of the real world. Welcome to the era of digital twins—specifically, a groundbreaking project called Y.</p>

<p>Y is a digital twin of an Online Social Media platform that takes advantage of cutting-edge artificial intelligence, particularly large language models (LLMs), to create interacting agents that mimic real user behavior.</p>

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4 changes: 2 additions & 2 deletions docs/rss.xml
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<description>Y Social is a cutting-edge Digital Twin of a microblogging platform. It enables realistic social media simulations by integrating Large Language Models (LLMs) agents. Describe your desired scenario - be it a political community, a mental health support group or a sportive fandom - and observe complex social behaviours emerge.</description>
<language>en-US</language>
<copyright>(c) 2024, </copyright>
<pubDate>Thu, 21 Nov 2024 11:55:19 +0100</pubDate>
<lastBuildDate>Thu, 21 Nov 2024 11:55:19 +0100</lastBuildDate>
<pubDate>Thu, 21 Nov 2024 12:03:57 +0100</pubDate>
<lastBuildDate>Thu, 21 Nov 2024 12:03:57 +0100</lastBuildDate>
<category>blog</category>
<ttl>60</ttl>
<atom:link href="https://ysocialtwin.github.io/rss.xml" rel="self" type="application/rss+xml" />
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