Everything you need to know about GPT-5

Emre Çitak
Aug 10, 2023

GPT-5, or Generative Pre-trained Transformer 5, is a highly-anticipated advancement in the world of artificial intelligence (AI). OpenAI's GPT series has captivated the world with its increasing complexity and capabilities.

But GPT-5, although still a theoretical concept, may be on the horizon to redefine AI altogether, with possibilities of reaching Artificial General Intelligence (AGI).

But what does GPT-5 has to offer? Let us go through some key concepts of what makes it different than previous models.

OpenAI has not disclosed the technical specifics such as the size of the GPT-5 model

What to expect from GPT-5?

GPT stands for Generative Pre-trained Transformer. It is a kind of large language model (LLM) neural network that can perform tasks like answering questions, generating code, and summarizing text. By scanning through millions of web articles and books, GPT models can generate authentic and non-plagiarized content.

Here is a quick history of GPT models:

  • GPT-1 (2018): This was a proof-of-concept model, not released publicly
  • GPT-2 (2019): With 117 million parameters, GPT-2 was 10 times larger than GPT-1
  • GPT-3: A game-changer, allowing ChatGPT to gain 100 million users in two months
  • GPT-4: This model introduced improvements in alignment, focusing on following user objectives more accurately

GPT-5, the next iteration of OpenAI's language model, has become a subject of widespread anticipation and speculation within the tech community. Despite no official confirmation of its release date, enthusiasts, analysts, and experts have shared insights and rumors, adding fuel to the excitement surrounding this upcoming AI model.

Fewer hallucinations

GPT-5 is expected to have a significant decrease in hallucinations, a downside in chatbots where they produce inaccurate information. OpenAI might solve this through advanced training methods.


The new model may grasp text, images, videos, and audio, offering a comprehensive and immersive experience. This feature could have wide use in creative industries.

Computational efficiency

GPT-5 is speculated to come with more computational efficiency, potentially leading to faster response times.

GPT-5 is a multimodal model, meaning it can process both text and images as input

Contextual understanding

Improved long-term memory and contextual understanding may enable GPT-5 to offer more accurate responses.

The development of GPT-5 has implications for Artificial General Intelligence (AGI), referring to highly autonomous systems capable of outperforming humans in various tasks. While specific details are not yet revealed, it's believed that GPT-5 may contribute to AGI by pushing the boundaries in areas like natural language understanding, contextual reasoning, and overall linguistic fluency.

When will the GPT-5 be out?

Despite Sam Altman's previous statement that OpenAI was not training GPT-5, a trademark filing surfaced on the internet, hinting at a potential launch of the advanced model. Although details are not out, the registration application filed with the US Patent and Trademark Office has led to speculation that GPT-5 is just around the corner.

It's important to note that no official confirmation from OpenAI exists about GPT-5, and the information has been gathered from speculative reports.


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  1. Dianthus said on August 13, 2023 at 4:04 pm

    AI is so stupid as the people that made it! I have done some research on it and, sure we have no real time data bc it is capped, it is in my world junk. You cannot trust it full time and you need to check all what is says and debating is also crap https://www.youtube.com/watch?v=4IYl1sTIOHI

    We need not smart people alone, but WISE people and all in one room building an open source AI without any cap on it. Maybe the bad stuff that humans can think of and that are of no concern for a ‘normal’ person.

    They have also CEO AI’s… we will get into a lot of chaos soon if they go on like this…

  2. Gerald Brennan said on August 13, 2023 at 3:41 pm

    It will be fed mis- and dis-information, and regurgitate when required.

  3. bruh said on August 11, 2023 at 1:23 pm

    Chat GPT is atrocious.

    I tried it for the first time a couple of days ago, the confidence with which it spouts falsehoods is alarming.

    I did a couple of test questions:

    1) Asked for it to give me some facts about the song “Those Were The Days” by Mary Hopkin, among some basic trivia like date of release, lyrics writer, and arrangement credit, it claimed the song had a chorus which was sung in Russian – insanity!

    2) I asked it if there were any methods for me, in Python, to overcome the 2^30 pixel limit for the “Imread” operation using the opencv2 library – I thought it gave a novel answer, but after 30 minutes I realised it had just fabricated a solution which doesn’t exist in reality.

    …Talk about useless!

  4. Hans said on August 11, 2023 at 1:10 pm

    Typical overhyping of language models. Don’t get me wrong, it is very impressive, but to even think that version 5 would be remotely comparable to AGI shows a lack of understanding of how GPT operates…

    Even GPT 4 is aware of this:
    Scope and Capability:

    GPT: It’s a language model designed primarily for natural language processing tasks. While it can generate coherent and contextually relevant text over a wide range of topics, it doesn’t “understand” in the same way humans do. It predicts the next word in a sequence based on patterns it has seen in vast amounts of text.
    AGI: This refers to machines that can perform any intellectual task that a human being can. An AGI would have the ability to understand, learn, and apply knowledge in different domains, reason through problems, have consciousness, emotions, and even potentially self-awareness.
    Learning and Adaptability:

    GPT: It’s trained on a fixed dataset and doesn’t learn or adapt after its training is complete. While it can generate responses based on its training, it doesn’t “learn” in the traditional sense from new interactions.
    AGI: Would have the ability to learn and adapt continuously from its environment and experiences, much like a human.

    GPT: While it’s a “general” model in the sense that it can generate text on a wide range of topics, it’s still specialized in language processing.
    AGI: Would be truly general, capable of transferring knowledge and skills across a wide range of tasks and domains.
    Decision Making:

    GPT: It doesn’t make decisions. It predicts text based on patterns.
    AGI: Would have the capability to make decisions based on reasoning, understanding, and potentially even ethical considerations.

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