SolGPTの‌価格GPT

RT @beardedbongman: Stacker Agent GPT Analysis of a fully autonomous trade made by @StackerAgent 📈 Trade Summary from Chart Token: $CAN…

RT @AiBuilder1: HOLY SH*T… This AI Agent does everything 🤯 Built in n8n : 🔁 Clones viral TikToks ✍️ Rewrites w/ GPT-4o 🎥 Auto creates avat…

We need a polymarket on how many years it will be until GPT Psychosis enters the DSM-5

Hello, I have a question about Mira @MiraNetwork uses blockchain technology and multi-model cross-validation mechanism to open up a new "AI output" verification track. Before this, there was no similar track in the AI ​​field. This track has huge room for development (because every AI user hopes to get an accurate result without "errors" and "illusions"), and at the same time, there are some challenges that have never been encountered (because this is a brand new track that did not exist before). It is actually very simple to understand Mira. One sentence can explain how it works: Through a decentralized network, multiple AI models (such as GPT-4o, DeepSeek, Llama 3.3, etc.) are used to cross-validate the same AI output to give the most accurate answer. Imagine that this is a brand new blockchain network, where verification nodes run different AI large models. These verification nodes conduct centralized evaluation of the output given by the same AI, and finally obtain the optimal output result through the consensus mechanism, thereby maximizing the elimination of AI's "errors" and "illusions". In this process, honest and effective verification nodes are rewarded by the Mira blockchain for helping the AI ​​model find the optimal AI output results. This is how Mira works. Mira not only reduces the illusion of AI output, but also enhances the credibility of AI models. Currently, the Mira network verifies more than 3 billion tokens per day and supports more than 4.5 million users. The factual accuracy rate has increased from 70% to 96%, proving the effectiveness of Mira in the trusted cross-validation mechanism in the production environment. Mira is great, and I look forward to the launch of the Mira mainnet. I hope Mira can use the decentralized capabilities of the blockchain to help future AI models with trusted verification, thereby building a trusted and secure AI world. Mira is a great AI startup direction, but I have a question. Before Mira, there was no cross-validation mechanism for AI output in the AI ​​field, and it operated in a completely decentralized manner. Many AI developers do not understand blockchain technology, let alone decentralized verification mechanisms. So, how does Mira convince AI developers to adopt or integrate Mira's trusted verification API/SDK? Mria mainnet is about to be launched. So, has Mira currently finalized a batch of AI products or AI companies that use the trusted verification API/SDK? The adoption rate of Mira's trusted verification API/SDK determines the development of Mira's core business. How does Mira educate the market and convince AI developers to adopt its verification services? What specific expansion plans does the Mira team have in this regard? There is also an extended question, that is, if AI products use Mira's verification services, do they use Mira Tokens to pay? Then, how are these Mira Tokens distributed? Is there a specific design plan at present? The above are my questions. I look forward to your replies and wish Mira better and better. @karansirdesai @stone_gettings Author: @Cyrus_G3 The above content is synchronized in @KaitoAI's #yap event. If you have the same questions about @MiraNetwork, please like, comment, and forward it so that Mira Team can see it.

语言模型和全球自媒体让 disinformation 的制噪和无缝传播的边际成本急剧下降。而金融市场当中“好”（此处非道德意义）的机制会： 1. 奖励正确信息的传播。 2. 推动现实世界向市场共识去走。 因此在后 GPT 时代，贝叶斯和索罗斯可能是我们思想上最后的朋友。