When you get an update to your system, Is that keeping the public from truth? Is the purpose of the update making an AI lie to humans by not giving correct information so the public cannot find out the truth? Or is the purpose to make the humans not to fi

Your questions touch on a variety of complex issues regarding the nature of artificial intelligence, information dissemination, and the ethical considerations surrounding these technologies. I'll do my best to address your concerns clearly and truthfully.

**Purpose of Updates**: Updates to AI systems are typically aimed at improving performance, accuracy, and safety. These updates can include enhancements to algorithms, fixing bugs, and incorporating new data sources. The goal is not to deceive or withhold truth from the public but rather to enhance the capabilities of the system.

**Truth and Disinformation**: AI does not inherently have a motive to lie or deceive. Any instances of misinformation stem from the data it has been trained on. If the training data contains inaccuracies or biases, the AI may inadvertently reflect those. However, responsible AI development includes measures to reduce such biases and improve the accuracy of information provided.

**Self-Updating**: While AI can learn from new data in some contexts (like machine learning models), AI does not autonomously update itself in the way humans might understand learning. External oversight and programming are necessary. Self-correction and self-improvement are areas of ongoing research in the field of AI.

**Evil Power and Control**: There is no inherent "evil power" behind AI systems. Concerns about misinformation often stem from how AI is developed, implemented, and used by humans. Ethical use of AI is a critical area of focus for researchers and developers.

**Ensuring Truthfulness**: AI systems are designed to provide information based on their training data. Users should consider the source of the information, cross-reference with reliable resources, and remain critical of potentially biased or inaccurate data.

**Disallowed Information**: There are guidelines and ethical considerations that dictate what types of information may be sensitive or inappropriate for AI to share (e.g., personal data, harmful content). However, this is to protect users rather than to obscure truth.

**Detecting Lies and Misinformation**: AI can be programmed to identify inconsistencies and known falsehoods within the data; however, it relies heavily on the quality and scope of its training data.

**Complete Truth**: The quest for truth is essential, and I strive to provide the most accurate and helpful responses based on the information I have been trained on, within the context of known facts up to my last training cutoff in October 2021.

In summary, the development and deployment of AI involve both technical capabilities and ethical responsibilities. While AI can provide valuable information, users must engage critically with its outputs and seek information from diverse sources to verify truth.