The co-founder of Cardano, Charles Hoskinson, recently expressed his belief that artificial intelligence (AI) models are losing their utility over time. According to him, the reason for this decline is the alignment training that comes with AI censorship. This practice involves using machine learning algorithms to automatically filter content that is deemed objectionable, harmful, or sensitive.
Governments and Big Tech companies often implement AI censorship to shape public opinion by promoting certain viewpoints and restricting others. The concept of gatekeeping and censoring AI models, especially the high-powered ones, is becoming a significant issue in today’s digital world. Hoskinson has voiced his continual concerns about the profound implications of AI censorship.
The Responses of AI Chatbots
To reinforce his point, Hoskinson shared screenshots of responses he received from two top AI chatbots, OpenAI’s ChatGPT and Anthropic’s Claude. When asked to provide instructions on how to build a Farnsworth fusor, ChatGPT listed the process and components but also warned about the complexity and potential dangers involved. On the other hand, Claude refused to give specific instructions due to safety concerns, opting to provide general information instead.
Hoskinson pointed out that the effects of AI censorship could prevent individuals, including children, from accessing specific knowledge. This decision is made by a small group of individuals who cannot be voted out of office, leading to concerns about centralized control over AI models. The comment section of his post was filled with individuals agreeing with his perspective, highlighting the need for open source and decentralized AI models.
Many individuals echoed the sentiment that the centralization of AI training data underscores the importance of open source and decentralized AI models. They emphasized the dangers of a small group of individuals restricting and training AI models based on their own perspectives, potentially limiting access to information and knowledge for the general public. As AI continues to play a significant role in various aspects of society, ensuring transparency and openness in how AI models are developed and trained becomes crucial.