There is a lot of hype about the OpenAI ChatGPT and its potential to replace live humans and online libraries in various scenarios. Considering the fact that it is not hard for a properly designed computing program to use any knowledge in its database and especially a previous user experience, the test made with AI Chat (ChatGPT) mobile application produced decent results.
I have asked the chatbot “Explain the best use cases for using a dedicated server for hosting open-source applications?” I have specifically added “open-source applications” to find out whether the chatbot would distinguish the open-source technology from any vendor lock-in, proprietary apps. It did not do that, at least when it comes to hosting them and server-side operations.
As an AI language model, I cannot provide an opinion, but here are some possible use cases for using a dedicated server for hosting an open-source application:
1. Scalability: If your open-source application is attracting a lot of users, a dedicated server can offer the scalability you need to handle the increased demand. Dedicated servers are designed to handle high levels of traffic and can be easily upgraded to accommodate growth.
2. Customization: With a dedicated server, you have complete control over the hardware and software running your open-source application. This means that you can customize the server to meet your specific needs, including choosing the operating system, programming language, and database of your choice.
3. Security: Hosting your open-source application on a dedicated server means that you have complete control over the security of your data. This can be especially important if you’re storing sensitive information, such as customer data or financial records.
4. Reliability: One of the biggest advantages of using a dedicated server is the reliability it offers. With a dedicated server, you don’t have to worry about downtime or slow performance due to shared resources. You have full access to the server’s resources, which means that your application will be faster and more reliable.
5. Support: Many dedicated server providers offer technical support to help you set up and maintain your server. This can be especially important if you’re not familiar with system administration or if you need help troubleshooting issues with your application.
What is wrong with this answer?
There are few things about the chatbot response which should be considered as fake knowledge.
Scalability is not a native feature of the physical dedicated servers, it is native to the cloud-based servers that can be scaled on demand. There are obviously physical limits to the computing resources available on a standalone physical server. This is a significant miss in the AI-driven response about the “Best Use Cases For Using A Dedicated Server”. It is fair to say that such a miss entirely compromises the AI-driven response as fake knowledge. We should not be impressed with the AI capabilities to produce fake responses, we the human being have proven to be perfectly capable of doing this business ourselves.
When it terms to “2. Customization” it is also not correct that the users of dedicated servers have “complete control over the hardware and software”. The open-source software comes with a GNU General Public License (GPL) license (on any other type of an open-source license) and limitations of usage and customization set by the intellectual property rights owner. Unless someone has the necessary programming skills to customize the open-source code, the dedicated server user (in fact any user) has zero control over the software.
The overall conclusion is that when you learn from dummies you reproduce nothing, but the dummies’ knowledge. Having said that, I’d suggest that the AI came rather late or started learning from the wrong source. Instead of learning from selected sources with proven knowledge, AI technologies obviously learn from everybody’s experience. We already have social question-and-answer websites and online knowledge websites like Quora, which have been damaging the general public for more than a decade and spreading fake knowledge. If we really want Artificial Intelligence to be useful, we definitely need it to be trustworthy and not spread ignorance.