Quantum Physicists Unleash Censored AI Model DeepSeek R1 Slim

A group of quantum physicists at Spanish firm Multiverse Computing claims to have created a version of the powerful reasoning AI model DeepSeek R1 that strips out the censorship built into the original by its Chinese creators. The team used quantum-inspired AI techniques to create DeepSeek R1 Slim, a model that is 55% smaller but performs almost as well as the original model. This allowed them to identify and remove Chinese censorship so that the model answered sensitive questions in much the same way as Western models. According to an interview with the team, the process involved using quantum computing to optimize the model's architecture and remove the censorship layers. "We were able to identify the specific components of the model that were responsible for the censorship and remove them, resulting in a model that is both smaller and more accurate," said a spokesperson for Multiverse Computing. The team's work has significant implications for the development of AI models, particularly in regions where censorship is a major concern. The original DeepSeek R1 model was created by a Chinese company and is subject to rules and regulations meant to ensure that content output aligns with laws and socialist values. As a result, companies build in layers of censorship when training the AI systems, often resulting in models that refuse to answer or provide talking points straight from state propaganda. By removing these censorship layers, the Multiverse Computing team has created a model that can provide more accurate and unbiased responses to sensitive questions. The development of DeepSeek R1 Slim has significant implications for the use of AI in various industries, including education, healthcare, and finance. "The ability to create AI models that are free from censorship is a major breakthrough, and we believe it has the potential to revolutionize the way we use AI in these industries," said a spokesperson for Multiverse Computing. The company plans to make the model available to researchers and developers in the coming months, with the goal of further improving its accuracy and performance. The success of DeepSeek R1 Slim also highlights the potential of quantum computing to improve the performance and accuracy of AI models. By using quantum-inspired techniques to optimize the model's architecture, the team was able to create a model that is both smaller and more accurate than the original. This approach has significant implications for the development of AI models in the future, and could potentially lead to the creation of more accurate and unbiased models. As for the current status of the model, Multiverse Computing has announced that it will be making DeepSeek R1 Slim available to researchers and developers in the coming months. The company plans to continue improving the model's accuracy and performance, with the goal of making it a leading AI model in the industry.