Long time no see! 🎉 We’re thrilled to announce a major update for AIET, featuring brand-new functionalities and a sleek, optimized interface! #AIET#Innovation#Funding
🚀 Recently, we’ve secured additional funding and are rapidly expanding our team. A special welcome to the talented professionals joining us from Google’s Operations team!
Thank you for your continuous support and interest in AIET project. We're committed to driving innovation and contributing to the future of intelligent technologies!
#AIET#AI#Solana
🖥️ Official website set for a comprehensive update, featuring a new interface and functionalities for a more user-friendly experience. Stay tuned for upcoming plans!
🔍 Testing nodes opening soon! Become a real developer and join the testing phase with a chance to earn rewards up to 5 million AIET and $200,000 USD. Don't miss this opportunity!
🚀 Exciting Updates from AIET Project! We're thrilled to announce several key developments:
🌟 New strategic financing round completed, details to be disclosed soon, laying a solid foundation for AIET's future!
🌍 New market operations team joins, focusing on expanding global reach and user base. They bring fresh energy and strategic insights to AIET's market strategies.
AGI will be bigger than electricity, the Industrial Revolution, and the Internet combined. The most mind-bending thing is that not only AGI but also ASI, which will be at least million of times more impactful and world changing than AGI, could be here by 2030. Let that sink in.
With the explosive growth of data, distributed data processing and AI model training have become increasingly important. According to IDC's prediction, the global data volume will reach 175 zettabytes (ZB) by 2025. To tackle this challenge, distributed processing technologies like Hadoop and Spark have increased data processing speeds by more than 10 times. In the realm of AI model training, using distributed deep learning frameworks like TensorFlow and PyTorch in clusters can reduce training time to one-fifth of the original. For instance, OpenAI's GPT-3 model leverages distributed computing, training across hundreds of GPUs, significantly enhancing efficiency and model performance. Distributed data processing and AI training not only optimize resource utilization...
GPT-4o is our new state-of-the-art frontier model. We’ve been testing a version on the LMSys arena as im-also-a-good-gpt2-chatbot 🙂. Here’s how it’s been doing.
🌟【Houston Internal Test Event】🚀 On June 1st, we will hold an internal test of the Alpha version of the AI decentralized artificial intelligence training and inference protocol in Houston. This is not only an opportunity to validate the core technology and functionality of our platform, but also an excellent time to test its scalability and security in the field. 🔒🌐
🎩 Special incentives: Participants will have the opportunity to win our exclusive AET tokens and AIET hats, with generous prizes and fierce competition!
📍 Location: Houston
📅 Date: June 1
🔥 Event details are being released, seats are limited, come and book now!
💡 Join us to personally experience and promote the future development of AI technology, and witness and shape the process of technological innovation in this event. Your participation is crucial to us, let's show the power of AI to the world!
#AI #Alpha #AETToken