According to recent news, OpenAI is not currently training GPT-5, and is instead focusing on improving the capabilities of its latest GPT model. There are rumors that GPT-5 training may be completed by December 2023, with a potential launch in 2024.

why is OpenAI not currently training GPT-5

OpenAI is not currently training GPT-5, but is instead focusing on expanding the capabilities of its latest GPT-4 model. OpenAI's CEO, Sam Altman, has emphasized that the company is considering the safety implications of such work and is developing other ambitious tools, such as connecting GPT-4 to the internet and optimizing it. Altman has also noted that OpenAI would have to increase parameters and compute by an order of magnitude to train a new GPT model. Despite not working on GPT-5, OpenAI is still expanding the potential of GPT-4 and addressing safety issues.


What distinguishes the GPT-4 and GPT-5 tests?

As OpenAI is not currently training GPT-5. However, there are some differences between GPT-4 and previous versions, such as GPT-3.5. GPT-4 is multi-modal and can accept both text and visual inputs, while GPT-3.5 can only accept text prompts4. Additionally, GPT-4 can analyze and comment on images and graphics, whereas GPT-3.5 focuses primarily on text. It is also worth noting that GPT-5 is rumored to support multiple languages, making it a valuable tool for language translation and other applications that require multilingual support.

How does GPT-4's capacity for problem-solving differ from that of GPT-3.5?

GPT-4 demonstrates a strong capacity for solving challenging scientific and mathematical problems beyond the capabilities of GPT-3.5. GPT-4 can also synthesize information from multiple sources to answer complex questions, whereas GPT-3.5 may struggle to connect the dots. Additionally, GPT-4 is multi-modal and can accept both text and visual inputs, while GPT-3.5 can only accept text prompts4. GPT-4 also has better accuracy and reasoning capabilities than GPT-3.5, and can handle longer prompts and conversations without making as many factual errors. However, it is important to note that GPT-4 does not necessarily have a model of the world that its reasoning is based on, and there are still examples where it would fail on certain tasks.