DEEPSEEK
DeepSeek is an AI company and a family of large language models based in Hangzhou, China. It was founded in 2023 and funded by High-Flyer, a well - known quantitative asset management giant. DeepSeek is dedicated to developing advanced large language models and related technologies. It has released several models, including DeepSeek LLM, DeepSeek Coder, DeepSeekMath, and DeepSeek - VL. The latest version, DeepSeek - V3, which was launched in December 2024, has 67.1 billion parameters and was trained on a dataset of 14.8 trillion tokens. It uses FP8 training and open - sources the native FP8 weights. Benchmark tests show that it outperforms Llama 3.1 and Qwen 2.5 while matching GPT - 4O and Claude 3.5 Sonnet. In addition, DeepSeek - R1, which was officially released on January 20, 2025, performs on a par with OpenAI O1 in terms of mathematics, code, and natural language reasoning tasks. DeepSeek's models have a wide range of applications, such as chat and coding scenarios, multilingual automatic translation, image generation, and AI painting. With their high performance and low cost, DeepSeek's models have quickly gained popularity. For example, on February 2, 2025, the DeepSeek app climbed to the top of the download charts in 140 countries on the Apple App Store and also topped the Android Play Store in the United States
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IPFS: The Decentralization of the Web and the Future of Blockchain
This is one of the weaknesses of the current centralized web. Blocking a site simply requires finding the server on which it is located and asking the operator to turn it off or telephone operators to block the connection to the specific IP address of the server. In the case of a site to which a large number of users contribute you will need to block all those computers, greatly increasing the resistance against censorship. The IPFS takes advantage of blockchain technology and the peer-to-peer Torrent protocol, creating a permanent web and distributing "bits" of portals and websites among all Internet users who decide to install the client program associated with the project on their computers.