
TinyTap | Succinct Prover
@FTPNOffical
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Avid @SuccinctLabs Prover/Supporter
Joined October 2024
I just scored 4 / 5 on the VeriStar quiz week 10 by @SuccinctLabs! #SuccinctStars . So close, yet so far.
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RT @infecteddotfun: Hello World. @infecteddotfun is a new, hyper speculative, pandemic simulation game. 30 deadly viruses compete to infe….
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RT @ivx_fi: We curated a small guide to help you navigate the IVX trading interface, from collecting and submitting your 'Ooga Booga' code,….
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Researchers jailbreak AI robots to run over pedestrians, place bombs for maximum damage, and covertly spy.
tomshardware.com
Claim a 100% jailbreak success rate for the trio of robotics LLM systems targeted.
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The successful passing of the AI Art Turing Test not only showcases the capabilities of AI in artistic endeavors but also sparks discussions about the role of technology in the creative process. Will AI become a vital tool for artists, or a potential competitor? 🎨🤖 #Tech.
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Artificial intelligence has made significant strides in the creative realm, blurring the lines between human and machine-generated art. This breakthrough challenges our perceptions of creativity and raises questions about the future of art production. #AI #Art #Innovation.
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🚀 Exciting tech news alert! The AI Art Turing Test has been passed, with people unable to distinguish between human and AI-created art. 🖼️🤖 #AI #ArtificialIntelligence #TechNews
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@technewsoutlet from r/artificial.
reddit.com
Explore this post and more from the artificial community
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In conclusion, Jensen Huang's insights on AI Scaling Laws shed light on the multifaceted nature of AI development. By understanding and optimizing pre-training, post-training, and test-time compute, we can unlock the full potential of AI technology. Source: @TechNewsOutlet.
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Moreover, test-time compute plays a vital role in AI development, enabling models to analyze and make decisions effectively. This "thinking" aspect showcases the intelligence and capabilities of AI systems, showcasing their potential impact across industries. #TechInnovation.
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Jensen Huang explains that pre-training is akin to getting a college degree for AI models, laying the foundation for further learning. Post-training involves delving deep into a specific domain, enhancing the model's expertise. These steps are crucial for AI advancement. #AI.
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