Hello OpenAI Team,
I have a suggestion that could enhance the clarity and accuracy of responses provided by AI. The idea is to implement a “Pre & Post Terms” framework in AI explanations, especially when it comes to terms or concepts that have evolved over time. For example, terms like GPU, first-person shooter, and even concepts like “car” or “smartphone” have changed over the years, and providing historical context alongside modern terminology would help users gain a better understanding of how these terms evolved.
In many cases, users are only familiar with modern terminology and may miss out on the historical context that could make the explanations more accurate. For example, instead of just saying GeForce 256 as the first GPU, AI should also mention earlier technologies like 3Dfx Voodoo and explain how the term GPU evolved over time.
This would not only ensure more historically accurate explanations, but also enhance the educational value of the responses, making it easier for users to grasp the continuity of ideas, technologies, and concepts.
Thank you for considering this idea. I believe it could significantly improve the way AI is used for learning.
Best regards,
Edgar.
I will give an example.
If you asked about the first car, the focus should be on what we recognize as a car today—not just the term itself. As you mentioned, early cars were often referred to as “horseless carriages” because they were the first vehicles designed to replace horse-drawn carriages. But today, the term “car” applies to a broad range of vehicles that are powered by an engine (not horses), regardless of the specific name they were given in the past.
So when talking about the first car, I would focus on the first self-propelled vehicle that met the criteria of a modern car—Karl Benz’s 1885 Benz Patent-Motorwagen—and explain that, even though it might have been called something like a “horseless carriage,” it fits the modern definition of a car.
Similarly, in the case of the GPU or other technology terms, I would clarify that although early devices or terms (like “3D accelerator” or “graphics chip”) were used before, they now fall under the updated, modern terminology. This helps avoid confusion when discussing how things evolved and the concepts or functions themselves changed long before new terms were introduced.
In short, you want to look at function and design in the context of modern understanding, not just the first time the term was used. The old terms and definitions do indeed fall under the current standard, but it’s the functionality that matters more in these historical discussions.
Best regards,
Edgar.
When I asked ChatGPT about the first gaming GPU, it incorrectly stated the GeForce 256 was the first. This confusion arises because the AI focused on when the term “GPU” was first coined by NVIDIA in 1999, rather than the actual functionality. The 3dfx Voodoo, released in 1996, was indeed the first gaming GPU, but it was called a graphics accelerator at the time. This issue of terminology versus functionality can apply to many fields. Modern terminology sometimes misleads AI, leading to a misunderstanding of historical developments. For instance, early vehicles known as “horseless carriages” are now universally recognized as cars. Just wanted to point out an easier understanding that I’m trying to convey.