Recently, a lot of buzz has been circulating on social media about GPT-4, the latest addition to the GPT family. According to the claims being made, GPT-4 will have 100 trillion parameters and will be 500 times more powerful than its predecessor, GPT-3. However, these claims have been debunked by OpenAI CEO, Sam Altman.

In this article, we will delve deeper into the relationship between the number of parameters and AI, and what we can expect from GPT-4.

The Relationship Between Model Size and AI

The debate over whether model size is the key to achieving more intelligent AI has been ongoing for quite some time. While some experts in the field of AI believe that increasing the size of models is the way to go, others recognise that the quality of the data used to train the models and the architecture of the models themselves are equally important.

In the case of GPT-3, it was trained in a semi-supervised manner, meaning that it was trained on unlabelled data and humans were used to rate the best responses in order to improve the quality of the response. However, with GPT-4, we can expect a multi-modal model that can handle audio and video content.

The Future of GPT-4

Many have referred to GPT-4 as an early stage of singularity or AGI (Artificial General Intelligence). However, it is important to note that even with multi-modal capabilities, it is still an example of narrow intelligence. It is designed to perform specific tasks and lacks the flexibility and adaptability of human intelligence required to generalize their knowledge to completely new domains.

GPT-4 will undoubtedly be an improvement over GPT-3, but it is highly unlikely that it will be 500 times more powerful. OpenAI has not released any official statement regarding the number of parameters in GPT-4, so we cannot say for certain what its size will be.

What we can say for certain is that GPT-4 will be a game-changer in the world of AI. With its multi-modal capabilities, it will be able to process a wider variety of data, making it even more useful for a range of applications. However, we must not get carried away with false claims about its abilities.

Conclusion

In conclusion, the claims being made about GPT-4 are false. While we can expect a multi-modal model that can handle audio and video content, it is highly unlikely that it will be 500 times more powerful than GPT-3. Model size is just one of many factors that contribute to the development of intelligent AI. Quality of data and model architecture are also important factors.

While GPT-4 will undoubtedly be an improvement over its predecessor, it is still an example of narrow intelligence. It is designed to perform specific tasks and lacks the flexibility and adaptability of human intelligence. We should be excited about the possibilities that GPT-4 brings, but we should also be realistic about its limitations.