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#arcprize

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diva.exchange<p><a href="https://social.diva.exchange/tags/OpenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenAI</span></a>’s O3 model reportedly scores 76–88% on ARC benchmarks. François Chollet calls it a breakthrough - but warns: this still isn’t AGI. The <a href="https://social.diva.exchange/tags/ARCPrize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ARCPrize</span></a> helps us tell real intelligence from clever shortcuts. <a href="https://social.diva.exchange/tags/divaexchange" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>divaexchange</span></a></p><p>More: <a href="https://www.diva.exchange/en/privacy/will-there-be-a-real-artificial-intelligence-revolution/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">diva.exchange/en/privacy/will-</span><span class="invisible">there-be-a-real-artificial-intelligence-revolution/</span></a></p>
diva.exchange<p>Chollet says today’s AI isn’t brilliant - it’s just “big databases.” These systems retrieve information well but fail at novel problems. The <a href="https://social.diva.exchange/tags/ARCPrize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ARCPrize</span></a> sets real challenges that demand understanding and generalization, not just memorization. <br><a href="https://social.diva.exchange/tags/divaexchange" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>divaexchange</span></a> </p><p>More info: <a href="https://www.diva.exchange/en/privacy/will-there-be-a-real-artificial-intelligence-revolution/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">diva.exchange/en/privacy/will-</span><span class="invisible">there-be-a-real-artificial-intelligence-revolution/</span></a></p>
🔘 G◍M◍◍T 🔘<p>💡 ARC-AGI-2 mette in crisi i modelli IA più avanzati</p><p><a href="https://gomoot.com/arc-agi-2-mette-in-crisi-i-modelli-ia-piu-avanzati/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">gomoot.com/arc-agi-2-mette-in-</span><span class="invisible">crisi-i-modelli-ia-piu-avanzati/</span></a></p><p><a href="https://mastodon.uno/tags/agi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>agi</span></a> <a href="https://mastodon.uno/tags/arcagi2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arcagi2</span></a> <a href="https://mastodon.uno/tags/arcprize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arcprize</span></a> <a href="https://mastodon.uno/tags/benchmark" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>benchmark</span></a> <a href="https://mastodon.uno/tags/blog" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>blog</span></a> <a href="https://mastodon.uno/tags/chatgpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chatgpt</span></a> <a href="https://mastodon.uno/tags/claude" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>claude</span></a> <a href="https://mastodon.uno/tags/deepseekr1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deepseekr1</span></a> <a href="https://mastodon.uno/tags/geminiflash" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geminiflash</span></a> <a href="https://mastodon.uno/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>news</span></a> <a href="https://mastodon.uno/tags/openai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>openai</span></a> <a href="https://mastodon.uno/tags/picks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>picks</span></a> <a href="https://mastodon.uno/tags/sonnet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sonnet</span></a> <a href="https://mastodon.uno/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> <a href="https://mastodon.uno/tags/tecnologia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tecnologia</span></a></p>
mthpvg<p>R1-Zero proves that AI can learn reasoning purely through reinforcement learning, eliminating the need for human-labeled data.</p><p><a href="https://arcprize.org/blog/r1-zero-r1-results-analysis" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">arcprize.org/blog/r1-zero-r1-r</span><span class="invisible">esults-analysis</span></a></p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeek</span></a> <a href="https://mastodon.social/tags/ARCPrize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ARCPrize</span></a></p>
Europe Says<p><a href="https://www.europesays.com/1765603/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/1765603/</span><span class="invisible"></span></a> Artificial General Intelligence and Why It Matters to Business <a href="https://pubeurope.com/tags/AGI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AGI</span></a> <a href="https://pubeurope.com/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://pubeurope.com/tags/ArcPrize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArcPrize</span></a> <a href="https://pubeurope.com/tags/ARCAGI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ARCAGI</span></a> <a href="https://pubeurope.com/tags/ArtificialGeneralIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialGeneralIntelligence</span></a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://pubeurope.com/tags/FrancoisChollet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FrancoisChollet</span></a> <a href="https://pubeurope.com/tags/GenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenAI</span></a> <a href="https://pubeurope.com/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeAI</span></a> <a href="https://pubeurope.com/tags/google" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>google</span></a> <a href="https://pubeurope.com/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://pubeurope.com/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMs</span></a> <a href="https://pubeurope.com/tags/NarrowAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NarrowAI</span></a> <a href="https://pubeurope.com/tags/News" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>News</span></a> <a href="https://pubeurope.com/tags/OpenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenAI</span></a> <a href="https://pubeurope.com/tags/PYMNTSNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PYMNTSNews</span></a> <a href="https://pubeurope.com/tags/SamAltman" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SamAltman</span></a> <a href="https://pubeurope.com/tags/StrongAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>StrongAI</span></a> <a href="https://pubeurope.com/tags/WeakAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WeakAI</span></a> <a href="https://pubeurope.com/tags/YannLeCun" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>YannLeCun</span></a></p>
Miguel Afonso Caetano<p>"Yesterday OpenAI announced some very impressive results from their not-yet-released o3 model. According to the announcement, o3 has made enormous progress over its predecessors on several “reasoning” benchmarks, in particular, two quite difficult ones: Frontier Math, a benchmark containing hundreds of unpublished math problems that are known to be hard even for human math whizzes, and the Abstraction and Reasoning Corpus (ARC), a collection of concept-induction tasks which I’ve written about here, here, and here.</p><p>In this post I’ll discuss the o3 results on ARC. If you’re interested in AI and active on social media, you’ve likely already heard about these results, but I’ll try to add more context and my own thoughts here."</p><p><a href="https://aiguide.substack.com/p/did-openai-just-solve-abstract-reasoning" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">aiguide.substack.com/p/did-ope</span><span class="invisible">nai-just-solve-abstract-reasoning</span></a></p><p><a href="https://tldr.nettime.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://tldr.nettime.org/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeAI</span></a> <a href="https://tldr.nettime.org/tags/OpenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenAI</span></a> <a href="https://tldr.nettime.org/tags/o3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>o3</span></a> <a href="https://tldr.nettime.org/tags/ArcPrize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArcPrize</span></a> <a href="https://tldr.nettime.org/tags/AbstractReasoning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AbstractReasoning</span></a> <a href="https://tldr.nettime.org/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMs</span></a></p>
spinfocl<p>Ist natürlich lustig, dass ich das am Tag der Ankündigung / Ergebnisveröffentlichung von o3 gepostet habe. Wenn das mal zugänglich ist, werde ich es natürlich auch testen. Dass es offenbar so gut beim <a href="https://fedihum.org/tags/arcprize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arcprize</span></a> abschneidet, ist natürlich schon ne Ansage. <a href="https://arcprize.org/blog/oai-o3-pub-breakthrough" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">arcprize.org/blog/oai-o3-pub-b</span><span class="invisible">reakthrough</span></a> <a href="https://fedihum.org/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMs</span></a></p>
mthpvg<p><a href="https://arcprize.org/blog/oai-o3-pub-breakthrough" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">arcprize.org/blog/oai-o3-pub-b</span><span class="invisible">reakthrough</span></a></p><p>“You'll know AGI is here when the exercise of creating tasks that are easy for regular humans but hard for AI becomes simply impossible.”</p><p><a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/arcprize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arcprize</span></a> <a href="https://mastodon.social/tags/arcagi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arcagi</span></a> <a href="https://mastodon.social/tags/agi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>agi</span></a> <a href="https://mastodon.social/tags/openai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>openai</span></a> <a href="https://mastodon.social/tags/o3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>o3</span></a></p>
Demiurg<p>The intelligence of a system is a measure of its skill-acquisition efficiency over a scope of tasks, with respect to priors, experience, and generalization difficulty. - </p><p>François Chollet, "On the Measure of Intelligence"</p><p><a href="https://arcprize.org/arc#agi-definition" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">arcprize.org/arc#agi-definitio</span><span class="invisible">n</span></a></p><p><a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://fosstodon.org/tags/AGI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AGI</span></a> <a href="https://fosstodon.org/tags/ArcPrize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArcPrize</span></a></p>
Pyrzout :vm:<p>The AI Fix #10: An AI cookery dumpster fire, the ARC prize, and a creepy new AI friend <a href="https://grahamcluley.com/the-ai-fix-10/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">grahamcluley.com/the-ai-fix-10</span><span class="invisible">/</span></a> <a href="https://social.skynetcloud.site/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificialintelligence</span></a> <a href="https://social.skynetcloud.site/tags/ARCPrize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ARCPrize</span></a> <a href="https://social.skynetcloud.site/tags/TheAIFix" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TheAIFix</span></a> <a href="https://social.skynetcloud.site/tags/Podcast" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Podcast</span></a> <a href="https://social.skynetcloud.site/tags/cookery" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cookery</span></a> <a href="https://social.skynetcloud.site/tags/Amazon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Amazon</span></a> <a href="https://social.skynetcloud.site/tags/friend" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>friend</span></a> <a href="https://social.skynetcloud.site/tags/OpenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenAI</span></a> <a href="https://social.skynetcloud.site/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p>
ITSEC News<p>The AI Fix #10: An AI cookery dumpster fire, the ARC prize, and a creepy new AI friend - In episode ten of "The AI Fix" podcast, Graham attempts to say "quinoa", Mark draws a lin... <a href="https://grahamcluley.com/the-ai-fix-10/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">grahamcluley.com/the-ai-fix-10</span><span class="invisible">/</span></a> <a href="https://schleuss.online/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificialintelligence</span></a> <a href="https://schleuss.online/tags/arcprize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arcprize</span></a> <a href="https://schleuss.online/tags/theaifix" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>theaifix</span></a> <a href="https://schleuss.online/tags/podcast" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>podcast</span></a> <a href="https://schleuss.online/tags/cookery" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cookery</span></a> <a href="https://schleuss.online/tags/amazon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>amazon</span></a> <a href="https://schleuss.online/tags/friend" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>friend</span></a> <a href="https://schleuss.online/tags/openai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>openai</span></a> <a href="https://schleuss.online/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a></p>
Simon Strandgaard<p>Today a jaw dropping "38" score have been accomplished on the ARC-AGI leaderboard.</p><p>Interview with the team behind it.<br><a href="https://www.youtube.com/watch?v=jSAT_RuJ_Cg" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=jSAT_RuJ_C</span><span class="invisible">g</span></a><br><a href="https://ohai.social/tags/agi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>agi</span></a> <a href="https://ohai.social/tags/arcprize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arcprize</span></a> <a href="https://ohai.social/tags/arcagi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arcagi</span></a> <a href="https://ohai.social/tags/kaggle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>kaggle</span></a></p>
Simon Strandgaard<p>I made a new video. More examples of how do humans solve ARC-AGI puzzles. More creepy audio.<br><a href="https://www.youtube.com/watch?v=NivPmxUfeHY" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=NivPmxUfeH</span><span class="invisible">Y</span></a><br><a href="https://ohai.social/tags/agiarc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>agiarc</span></a> <a href="https://ohai.social/tags/arcprize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arcprize</span></a> <a href="https://ohai.social/tags/agi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>agi</span></a> <a href="https://ohai.social/tags/puzzle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>puzzle</span></a> <a href="https://ohai.social/tags/iqtest" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>iqtest</span></a> <a href="https://ohai.social/tags/intelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>intelligence</span></a> <a href="https://ohai.social/tags/music" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>music</span></a></p>
Charlotte Joanne<p>The ARC-AGI Prize: Pushing the Boundaries of AI<br>The ARC-AGI Prize, recently launched with a $1,000,000 reward, aims to drive innovation in artificial intelligence (AI) by challenging researchers and developers to tackle the ARC benchmark. This unique competition is designed to address a significant limitation in current AI systems: their reliance on memorization rather than genuine understanding and adaptability.<br>#### What is the ARC Benchmark?<br>The ARC (Abstraction and Reasoning Corpus) benchmark, created by AI researcher François Chollet, serves as an IQ test for machine intelligence. Unlike traditional benchmarks that AI models can excel at through extensive training on vast datasets, ARC requires AI to demonstrate core knowledge and problem-solving skills akin to those of a young child. The tasks in ARC are simple for humans but uniquely challenging for AI because they are novel and cannot be solved through memorization alone.<br>#### The Challenge<br>Current AI systems, particularly Large Language Models (LLMs) like GPT-4, are impressive in their capabilities but fundamentally limited. They excel by recalling and reapplying patterns from vast amounts of pre-existing data. However, they struggle with novel situations where pre-learned patterns don’t apply. This is a critical barrier to achieving Artificial General Intelligence (AGI), the level of machine intelligence that matches human cognitive abilities across a wide range of tasks.<br>#### Why is the ARC-AGI Prize Important?<br>The ARC-AGI Prize is significant because it focuses on pushing AI beyond its current limitations. By targeting the core of AI development—creating systems that can learn and adapt on the fly—the prize aims to foster breakthroughs in how AI models are designed and trained. Success in this challenge would mark a significant step towards AGI, moving from specialized, memorization-based systems to genuinely intelligent machines capable of reasoning and adaptation.<br>#### Potential Impact<br>Achieving the goals set by the ARC-AGI Prize could revolutionize AI. It could lead to the development of AI systems that are not only more flexible and intelligent but also more capable of handling real-world applications where unpredictability and novel situations are the norms. This advancement would have profound implications across various fields, from autonomous driving and healthcare to scientific research and daily life.<br>#### Future Considerations<br>The ARC-AGI Prize raises an interesting question: if solving this challenge is so crucial to the advancement of AI, should the investment be even greater? A $1,000,000 prize is significant, but the potential impact of achieving AGI could justify a much larger investment. Could a $1 billion prize further accelerate progress and attract even more talent and resources to the field? This question highlights the growing recognition of AI’s transformative potential and the need to invest in unlocking its full capabilities.<br>### Conclusion<br>The ARC-AGI Prize is more than just a competition; it is a catalyst for the next generation of AI development. By focusing on true intelligence and adaptability, it aims to overcome the limitations of current AI systems and pave the way for groundbreaking advancements in the field. As the world watches and participates, the ARC-AGI Prize holds the promise of driving AI closer to achieving true general intelligence, with far-reaching implications for technology and society.</p><p><a href="https://beige.party/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://beige.party/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://beige.party/tags/AGI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AGI</span></a> <a href="https://beige.party/tags/Innovation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Innovation</span></a> <a href="https://beige.party/tags/ARCPrize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ARCPrize</span></a></p>
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