Deepseek is the fashion model. The problem is that nobody knows very well what you are doing with our data

If you are a user of Chatgptit is likely that in the last week you have tried Deepseek. He Chinese ia chatbot It is so promising that It has become a serious threat to many of the American technological giants. Not only is it an open source proposal that can work very well at home (in a certain hardware), but also has a free online version that, at least for the moment, allows unlimited consultations. There is also one Payment API whose rates are very competitive. When we use chatbots like Deepseek we usually share a lot of information. These tools have become allies when planning vacations, summarizing documents, making budgets, analyzing images, among other things. Their language models swallow every word that we introduce to give us the answers we are looking for or an approach that we can refine to Prompts. What do they do with our data? Now, after the initial crush of discovering a new application of ia, let’s ask ourselves What happens to our data. Do they disappear after being processed by the model? Do we give them perpetuity to a company that we don’t even know? Are they stored as a treasure for training future iterations of the model? Certainly there are many questions, many, but they are not completely new. We already asked ourselves many of these questions when Chatgpt achieved popularity. Perhaps we did not ask ourselves the questions, but several European regulators were asked, which forced the company led by Sam Altman to make some changes to continue operating in certain countries of the block. Deepseek is the new star, and sooner or later these questions should appear on the scene. In the midst of so many questions there are some certainties: Deepseek collects a huge amount of data. This is probably not a surprise for some, but for others who have just started using chatbot. To have more clarity about the PRIVACY PRACTICES OF THE CHINISH COMPANY we can consult its page of Privacy Policy. Let’s start at the beginning, Hangzhou Deepseek Artificial Intelligence Co., Ltd. and Beijing Deepseek Artificial Intelligence Co., Ltd. collect information on the profile of users, such as username, date of birth (if applicable), address of email and/or telephone number and password. Our chats also collect, that is, texts, audios, charged files, comments, history. Everything goes to these companies. Suppose you have a question about Depseek and use the contact paths to talk to them. Well, the aforementioned organizations will also collect all the information you send. From identity or age tests, comments or consultations about the service. Everything mentioned so far is within a category called “Information you provide.” Within the range of information collected by companies behind Depseek we find another category called “automatically collected information.” Here they are made with our device model, operating system (and the language of the), IP address, cookies and diagnostic data and performance. They will also capture the keys of keys, and everything will be associated with a device ID and a user ID. It is not possible to quote our data, but there are no doubt that they are valuable. One way to measure its value is to size everything they drive. First, Depseek uses the data collected to train your AI models. Companies also talk about “interactions supervision”, and at this point we are not sure if there are humans analyzing conversations. In the documents of the companies we find other interesting information, such as that “review the entries and exits of the user and other information to protect the security and well -being” of the community. They also collect data to comply with legal obligations, to “carry out public interest tasks” and to notify changes in services. Later we will see where the data of the millions of Deepseek users are stored. The data collected by Depseek does not stay in Deepseek Deepseek says in its privacy policy that you can share the information collected from all categories indicated above. We go in parts. First, we can mention corporate group entitiesthat is, actors that are under the umbrella of organizations that control Deepseek. But there is more. They can also be sent to “advertising or analytical partners.” Possibly remember that paragraphs above we point out that the information collected is labeled with a device ID and a user ID. Well, these identifiers are usually very useful to track user activity and cross it with that of other platforms. At this point Depseek mentions that you can use activity from other sites and services, but in some jurisdictions. It is not clear how this will be applied in the European Union. Deepseek also explains that they can share the information collected with “the agencies responsible for enforcing the law, Public authoritiesthe head of copyright or other third parties if we believe in good faith that is necessary. ” In other words, they can give this data to the government. While this occurs in almost any jurisdiction, we must pay special attention to China, which has been involved in several controversies in this regard. There are numerous investigations that point against the Chinese Communist Party (PCCH) and Laws of the People’s Republic of China for forcing the technology companies of their country to provide data to relevant information. A document of United States National Security Department points out that the Government urges companies to install rear doors To help in operations to maintain national security. One of Tiktok’s conflict points It was precisely the one we just mentioned. The data of the Americans were apparently exposed to foreign actors. To address this concern, Bytedance, the social network matrix, An agreement with Oracle arrived To store the data of the United States users in their territory, also submitting them to legislation the North American country. The data collected by Depseek is stored on servers in China. Besides, We have spoken a lot about how strict the regulation towards technological ones in the European Union. The General Data … Read more

What is Deepseek, the new Chinese artificial intelligence that defies Chatgpt

Since its irruption in November 2022, Chatgpt marked a before and after in the field of generative artificial intelligence. His ability to create content, maintain natural conversations and solve complex tasks inspired giants such as Google, Meta and X (formerly Twitter) to develop their own versions. However, A new competitor from China, called Depseek, has begun to capture global attention. This development not only rivals US proposals, but could redefine the rules of the game in the AI ​​sector. What is Deepseek and why is it relevant? Deepseek is a generative artificial intelligence model with capabilities similar to those of its counterparts such as Chatgpt and Gemini. Designed to create content, reason structured and offer advanced solutions, This AI was recently launched in its R1 version. According to a report by The Wall Street Journal, Depseek has already positioned itself as a competitive model thanks to its technical performance and efficiency. In performance tests (benchmarks), China managed to match, and even overcome in certain aspects, to Openai’s GPT-O1 model, released in September. This higher performance, combined with a considerably lower cost, makes Deepseek an attractive option for companies and developers that seek advanced solutions without a high disbursement. Deepseek has several advantages that make it extremely attractive to developers. (Photo: Shuttersock) 5 Deepseek keys that make a difference 1) Advanced and efficient performance Deepseek is not only positioned as a competitive alternative, but demonstrates its ability to match reference models in the sector. Its design has been optimized to perform complex tasks with high precision, placing itself as one of the most promising options in the market. 2) Open source: Transparency and adaptability Unlike the models developed by Openai and Google, Depseek is open source. ANDSto means that your infrastructure is available for experts, developers and users to analyze, customize and improve the model. This characteristic encourages collaboration and innovation, offering flexibility that closed models do not allow. 3) Competitive costs One of Deepseek’s most outstanding points It is its low cost compared to its US rivals. This economic approach seeks to democratize access to advanced AI, allowing more companies, especially emerging ones to take advantage of their potential. 4) Deepthink: A star function Deepseek includes a tool called Deepthink, which uses reasoning chains to emulate cognitive human processes. This allows you to address complex problems more structured and with more precise results. This function has been one of the most prominent in its initial tests. 5) National and international collaboration The model has been developed by a team that combines talents from China technical universities and a background led by Liang Wenfeng, co-founder of High-Flyer. This collaboration, together with the commitment to a low -cost approach, strengthens the competitiveness of the model in the global field. Technological rivalry between China and the US The appearance of Deepseek revives the technological rivalry between the US and China, especially in the AI ​​sector. Historically, the US has led this market, with companies such as OpenAi, Google, Microsoft and Anthropic at the forefront. However, China has intensified its efforts in recent years, investing significantly in the research and development of AI. The Stargate project, an initiative announced during Donald Trump’s second term, has allocated more than $ 500,000 to the development of advanced technologies in artificial intelligence In the US in this context, Depseek emerges as a Chinese response to this supremacy, demonstrating that the Asian giant has the capabilities to compete at the highest level. The rivalry between Chatgpt and Deepseek is a reflection of what is currently living between China and the US (Photo: Shuttersock) The arrival of Deepseek not only represents a new challenge for large American companies, but also opens new opportunities for developers and users interested in exploring more accessible and customizable tools. In terms of business adoption, its open source and lower costs could allow Deepseek to consolidate in markets where competition has been dominated by closed models. However, its long -term success will depend on factors such as the quality of its technical support, constant updates and their ability to maintain high standards of safety and privacy, especially in a global context marked by geopolitical tensions. Deepseek not only represents a technological advance, but also a declaration of intentions by China in the field of artificial intelligence. With a strategy based on collaboration, transparency and accessibility, this model could transform the current panorama of generative AI. However, the true test for Deepseek will be its performance in practical applications and its ability to compete in markets dominated by giants such as OpenAi and Google. In addition, the international perception of the model will also play a crucial role, especially in countries that cautiously observe technological developments from China. In short, Depseek not only expands the range of options in generative artificial intelligence, but also revives the debate on the role of technology in international relations and global innovation. Are we facing the beginning of a new era in technological rivalry between the US and China? Only time will say it. Continue reading: * 3 simple ways to get a new job, according to specialists* Mental challenges that only humans can overcome before artificial intelligence* How artificial intelligence could help us improve our health (tagstotranslate) chatgpt

We knew that US Big Tech had a problem with the costs of their AI. DeepSeek has just shown to what extent

DeepSeek is the new darling of AI. This family of models, developed by a Chinese R&D laboratory of the same name, has achieved what seemed impossible: compete with the OpenAI or Meta models and do so, according to them, at a much lower cost. Is that true? A development 18 times cheaper than GPT-4. The Chinese startup released DeepSeek V3 671B at the end of December 2024. Its gigantic model was trained in just two months with a budget of 5.58 million dollars according to SCMP and analysts cited in Financial Times. Its performance is comparable to OpenAI’s GPT-4, but the latter cost about $100 million to develop according to Sam Altman. That’s almost 18 times more if we take into account both the data revealed by SCMP and Altman’s estimates. Comparative cost of the main chat and reasoning models today. DeepSeek’s price is incredibly lower than its competitors. Data: DeepSeek, OpenAI, Anthropic, Meta. Amazingly cheap. The cost of DeepSeek’s API is incredibly low when compared to its competitors. If we take the data from DeepSeek, Goal, OpenAI, Google and Anthropic It seems to be clear that the cost of using DeepSeek through its API is much lower than that proposed by its rivals. We have included the cost of GPT-4o mini which seems to be the only one comparable, but its performance is much lower than DeepSeek V3. DeepSeek V3 is superior to most of its competitors, although it is true that Meta has released for example Llama 3.3 in recent days and that comparison varies frequently. And it is (theoretically) superior to all. As they point out on RedditDeepSeek V3 prices are promotional: starting February 8 they will be $0.27 per million input tokens (almost double) and $1.10 per million output tokens (almost four times more) . This makes the comparison somewhat better for the competitors, especially for Llama, the only one that can compete in cost although the Chinese model is superior to that of Meta (and almost also to the rest in many metrics) according to the benchmarks carried out in DeepSeek. DeepSeek also “thinks” cheaper. The cost comparison is not only in favor of DeepSeek in the area of ​​traditional chatbots, but also in the area of ​​reasoning models. According to its internal benchmarks, the spectacular DeepSeek R1 It is significantly superior to OpenAI’s o1, but using the o1 API costs 27 times more than that of DeepSeek R1. Hallucinatory. Price drop in sight. As expert Ethan Mollick points out, the market will adjust to these DeepSeek-driven price drops fairly quickly. According to their estimates, the cost of a GPT-4 level AI was reduced 1000 times in 18 months, and a 95% drop in the price of the reasoning models, which right now are clearly higher than the AI models behind ChatGPT, for example. a chinese tsunami. The launch of the DeepSeek models is a great little revolution for all types of developers of AI-based solutions: they now have access to much cheaper models that are comparatively equal to or superior to those of the competition. This puts their rivals in a lot of trouble, and we will see how they react. Good news for users. The truth is that for us, the users, as well as for the developers, this is great news, especially because these prices make access to these functions incredibly cheaper. The market has been following this trend clearly, but DeepSeek has made the jump in cost reduction suddenly drastic. Image | Xataka with Freepik Pikasso In Xataka | OpenAI prepares a PhD-level AI. It is so promising that he will first show it to the US Government

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