The video discusses the Deep Seek R1 AI model, highlighting its impressive capabilities but significant censorship issues, particularly regarding sensitive topics related to China, which leads to biased responses. In contrast, the newly developed R1 1776 model aims to provide a more balanced perspective by addressing these censorship gaps and offering nuanced insights on complex geopolitical issues.
The video discusses the recent release of the Deep Seek R1 AI model, which has garnered significant attention due to its impressive capabilities and relatively low cost for building. However, the model’s size, boasting 671 billion parameters, poses challenges for most users, as it requires substantial VRAM to operate. While there are distilled versions available, they do not match the performance of the original. Additionally, concerns arise regarding the hosted version of the model, particularly its location in China, which raises security and privacy issues, especially in light of past incidents involving data leaks.
A major point of contention with the Deep Seek R1 model is its heavy censorship, particularly regarding sensitive topics related to China. For instance, when asked about Taiwan’s independence, the model provides a response that reflects the Chinese government’s stance rather than a balanced view. This limitation highlights the challenges of using AI models that are influenced by governmental censorship, leading to incomplete or biased answers on critical geopolitical issues.
In response to these censorship issues, the creators of the AI search engine Perplexity developed a new model called R1 1776. This model aims to address the gaps left by the original R1 by retraining it on questions and answers that are typically censored by the Chinese government. Rather than presenting a one-sided narrative, R1 1776 offers a more nuanced perspective, including viewpoints from both the Chinese government and the international community, thereby enriching the discourse around sensitive topics.
The video showcases comparisons between the responses of R1 and R1 1776 to various questions, particularly those related to historical events like the Tiananmen Square protests. While R1 often provides boilerplate responses that avoid sensitive topics, R1 1776 delves into the details of the protests, including the military’s involvement and the differing perspectives on the events. This contrast illustrates how R1 1776 can provide a more comprehensive understanding of complex issues, which is particularly valuable for users seeking informed insights.
Lastly, the video touches on the user interface of the Misty platform, which integrates the R1 models and offers a streamlined experience for users. The presenter expresses a desire for improved transparency regarding the model’s reasoning process and timing. Overall, the R1 1776 model is portrayed as a promising alternative to the original R1, combining its strengths while mitigating some of its weaknesses, particularly in terms of censorship. The video concludes by inviting viewers to share their thoughts on these AI models.