It is anticipated that GPT-5 will demonstrate considerably more sophisticated capabilities than GPT-4, indicating a major advancement in artificial intelligence research. With the use of technologies like GPT-5, OpenAI is pursuing artificial general intelligence (AGI), which could have significant societal ramifications in the future when robots surpass human intelligence.
The competition to create better AI models, such as GPT-5, emphasizes the continuous search for revolutionary developments in the field of artificial intelligence. GPT-4 vs. GPT-5 is rapidly approaching.
GPT-5 is coming, even though its release date is uncertain. It seems likely that OpenAI’s much anticipated generative pre-trained transformer will perform better than the models you can use now, considering how complex GPT-4 and GPT-3.5 are.
According to reports, OpenAI is getting ready to release a more powerful version of ChatGPT in the next months.
According to two informed sources who spoke with Business Insider, the new AI model, known as GPT-5, could launch as early as this summer. According to several reports, several businesses tested out a product demo before it was released, allowing them to view its improved features.
The bold long-term objective of OpenAI is to develop artificial general intelligence (AGI), or computers with greater intelligence than humans. This technology helps achieve this goal. This ambitious science fiction idea predicts the development of an AI with the ability to think for itself, paving the way for the autonomous production of new AI models that don’t need human supervision.
This kind of revelation might either excite the world or destroy it, depending on who you ask. As the race to develop the best AI heats up, these are all the details you need to know about GPT-5 to get started with it.
Introduction to ChatGPT 5: What will GPT 5 be like?
GPT-5 is the replacement for OpenAI’s fourth-generation chatbot, GPT-4, which runs on a monthly subscription.
The artificial intelligence (AI) engine that OpenAI created and enhanced to power ChatGPT through its multiple incarnations is known as a generative pre-trained transformer or GPT. Similar to the CPU in your computer, each new version of the chatbot runs on a fresh GPT with more capabilities.
Through the ChatGPT software from OpenAI, users can ask inquiries by voice. With the increasing rivalry for developing sophisticated AI, OpenAI has unveiled GPT-5 as the replacement for GPT-4, particularly in the area of comparing earlier GPT models and subjects like “GPT 4 vs. GPT 5.” In contrast to its predecessor, GPT-5 needs a monthly membership in order to function. This next version of AI continues to improve user experience by adding more features for voice-activated question answering on the ChatGPT app, all powered by generative pre-trained transformer technology.
Is GPT-5 Being Trained?
As per the latest updates, OpenAI has commenced GPT-5 training ahead of the AI model’s mid-year release. After its training is complete, the system will undergo multiple rounds of safety testing, according to Business Insider.
As part of this process, the bot will be “red-teamed,” meaning that both internal and external testers will put it through its paces and provide feedback on its benefits and drawbacks. The study supports a rumor that the GPT-5 may have only recently begun to learn, as stated in a recent tweet by an OpenAI executive.
In January, a prominent researcher at the tech company proposed that OpenAI was training on a much larger GPU than typical. The revelation followed a different tweet from OpenAI’s president and co-founder detailing the company’s increased processing capacity.
An artificial intelligence model can be assisted by a GPU, or graphics processing unit, in finding connections between different forms of data, like matching an image with a text description. A GPU works similarly to a calculator in this regard.
For his part, Mr. Altman said that in the fall of last year, his company worked on GPT-5 at least twice.
He uttered the first of those statements at a talk in September of last year, according to two attendees of the Y Combinator alumni reunion. Mr. Altman stated that GPT-5 and GPT-6 “were in the bag” and were superior to their predecessors.
In November, he told the Financial Times that it existed, but he did not say when it would be made public. GPT-5 was being worked on at the time by OpenAI.
More recently, it was revealed that OpenAI’s CEO has come up with a daring plan to obtain the massive amounts of GPUs required to train more complex AI models.
To get around the supply constraints preventing technological advancement, Mr. Altman reportedly wants to invest up to $7 trillion (about $22,000 per person in the US) to speed up the production of chips with the help of a global network of investors, governments, and energy providers. Considering this, the GPTM-5 is being planned in a way that will make it superior to its predecessor models and extremely useful when considering the question, “What will GPTM-5 be like?”
Anticipated date of GPT-5 release:
Moreover, it is uncertain if the turmoil at OpenAI in the latter half of the previous year had any effect. The corporation’s board of directors fired Mr. Altman on November 17. Following a turbulent five days that reflected divergent views on the direction of AI, Mr. Altman reappeared to lead a newly assembled board.
It’s important to note that there were users of ChatGPT who mistakenly believed the bot had notified them that it was utilizing the latest AI model GPT-4.5 Turbo.
If OpenAI’s GPT release schedule tells us anything, it’s that the time between updates is growing closer. GPT-1 was released in June 2018 and was followed by GPT-2 in February 2019, GPT-3 in June 2020, the current ChatGPT free version (GPT 3.5) in December 2022, and GPT-4 just three months later in March 2023. More frequent upgrades have also been released in recent months, along with the release of a “turbo” version of the bot.
Is June going to be the fortunate month again? Or will GPT-5 be unveiled by OpenAI during their developer day conference, which is probably going to happen in November? We’ll just have to wait and see.
Will ChatGPT-5 be available for free?
While ChatGPT is free to use, it’s unclear if ChatGPT-5 will charge a fee, much like its predecessor. Users can get special features like priority access during peak traffic hours, faster response times, plugin compatibility, and access to GPT-4 by subscribing to ChatGPT Plus for $20 per month. The company’s AI image model, DALLE, is also available to users.
It’s also important to keep in mind how expensive it is to train and maintain the language models we now use. This suggests that when GPT-5 is eventually released, access to it will most likely require ChatGPT Plus or Copilot Pro membership.
How to Make Use of GPT-5
While the exact release date of GPT-5 is uncertain, it’s reasonable to presume that development is underway. (OpenAI worked on GPT-4 for at least two years before it was formally released.) Just like with GPT-3.5, it’s possible that OpenAI will make an interim GPT-4.5 available before GPT-5. As of right now, OpenAI has not yet announced a release date.
Due to OpenAI’s pricing strategy, ChatGPT Plus subscribers can access the most recent model for $20 per month, while free users are limited to using the older version. You can select the model you want to use in ChatGPT using a drop-down menu.
You can change the model that ChatGPT uses for you by choosing an option from the drop-down menu. It is believed that their pricing model is similar to OpenAI’s standard methodology. Giving customers control over their ChatGPT experience, users may quickly switch between models by choosing an option from the drop-down menu.
OpenAI’s CEO on GPT 5:
Exactly one year ago, Sam Altman shared a picture of himself with a blue backpack and unveiled GPT-4. Let’s fast-forward to “Patience, Jimmy.” Last week, in response to a post on XL asking OpenAI to release GPT-5, Altman said, “It would be worth the wait.” Nothing has happened since.
After ChatGPT, which was based on GPT-3.5, was launched in November 2022, five more months elapsed until OpenAI released GPT-4. Rumors have recently surfaced regarding the contents and anticipated release date of OpenAI’s next GPT version.
Logan Kilpatrick, who was recently dismissed from OpenAI, stated on X that he has been contacted by multiple media who are inquiring about the weights and release date.
First, it is evident that GPT-5 will be multimodal, supporting text, images, audio, and video in a bottom-up manner. Since the release of Sora, this has become evident. According to OpenAI CTO Mira Murati, Sora will be available for public use by the end of this year. I hope it will be integrated with GPT-5 as well.
Altman stated that OpenAI is “on this long, continuous curve” to generate newer and better models. Although he acknowledged that the model has previously undergone some development, he stressed the importance of multimodality as the key component of GPT-5 that enables it to process video input and produce new movies.
In terms of GPT-4, the AI chatbot may respond in a way that is similar to that of a human while also being able to generate words and identify images. GPT-5, its replacement, is anticipated to be more error-free, more tailored, and able to handle a wider variety of content, eventually incorporating video.
The term “large language models” refers to the GPTs created by other businesses under their own brands, such as Google and Meta.
These artificial intelligence (AI) systems, which are based on human brain models, are able to generate dialogue text.
OpenAI is taking its time developing this model:
Speaking at the January World Government Summit, OpenAI CEO Sam Altman said, “This is more significant than it may seem because these models’ generality is what makes them so amazing.” “We’re going to make the model smarter; it’s going to be better at everything across the board.”
Joe Holmes is an AI and machine learning curriculum creator at Codecademy. He says that unless there’s a major architectural innovation, performance usually scales linearly with data and model size. “But even small steps in the right direction will lead to unexpected new behavior,” he keeps saying.
So what might a smarter and more sophisticated GPT be capable of? We’ll go over the GPT-5’s known specifications, potential differences from previous GPT models, and what we hope this new version will offer.
What can you do with the GPT-5?
During the February World Government Summit in Dubai, the OpenAI CEO talked about GPT-5. He said that the next version of ChatGPT will be smarter than the ones that came before it.
If it is a little bit wiser, it is a little bit better at everything, Mr. Altman emphasized, “This is a bigger deal than it sounds because what makes these models so magical is that they’re general.” Mr. Altman hinted at the level of intelligence of GPT-5 by telling the FT that it would require additional data to train on.
He said the plan made use of large, private data sets from companies as well as openly available data sets from the internet. Whatever form they take, talks or articles would be the last.
Speaking in and out is what Mr. Altman meant when he said, midway through January, on Bill Gates’ Unconfuse Me podcast, “Multimodality will definitely be important.” Images. And lastly, a video. It seems like a lot of people want it. We’ll be able to go much further with it, but thinking skills will probably see the biggest improvements.”
Furthermore, dependability. The increase in dependability will be crucial because, if you ask the GPT-4 the most questions 10,000 times, one of those 10,000 answers is undoubtedly quite excellent, but it doesn’t always know which one. You want to receive the best response out of 10,000 each time. “At the moment, GPT-4 can only reason in a very limited number of ways,” he said.
1. More realistic and fine-tuned:
The capacity of GPT-5 to be aware of your personal information, including your email, calendar, scheduling preferences, and connections to other external data sources, was another topic of extensive discussion between Gates and Altman. Those will be some of the most important areas for advancement, according to Altman.
Furthermore, he said that GPT-5 would have significantly greater reasoning abilities. “You want to always get the best response possible—10,000—but GPT-4 has very limited reasoning capabilities. Another problem is reliability. Of the ten thousand questions it asks, one is probably pretty good, but it doesn’t always know which one,” Altman said.
Coding is the one area where productivity gains are probably most welcome right now, according to Altman, who also noted that “it’s used at scale and widely deployed at the moment.” It might potentially be related to the recently disclosed, extremely powerful mathematical Q* model.
More Perceptive Than Before At the most recent World Government Summit in Dubai, Altman stated that GPT-5 would be more intelligent and quicker at all general tasks as opposed to being skilled at a select few. He additionally stated, “We’re going to make the model smarter; it’s going to be better at everything across the board.”
Furthermore, it is possible to argue that GPT-5 has agentic qualities and supports several autonomous frameworks. Furthermore, by doing this, OpenAI would be able to expand on its recent collaboration with Figure—which provided ChatGPT with a voice and a body—and improve on-device capabilities for certain edge use cases.
2. Lengthening of the Context:
OpenAI should increase the context length of its AI models in view of the most recent developments achieved by its competitors. GPT-4 has a maximum context length of 32k, while GPT-4 Turbo has increased it to 128k. By comparison, Anthropic’s top model, Claude 3 Opus, provides a 200k context window, while Google’s Gemini 1.5 boasts a one million token context window.
Apart from that, the size of the model’s parameters has grown. GPT-4 was projected to be almost 1.7 trillion times larger than GPT-3, which had 175 billion features, though this was never proven. A jocular suggestion has been made that GPT-5 will have roughly 69 quadrillion parameters.
3. Creates an AI Benchmark:
In reference to Claude 3, several models from Anthropic have outperformed GPT-4 on several benchmarks, including MMLU and HumanEval. In addition, it offers several improved features for multilingual use cases.
This is where GPT-5 is expected to advance the most. A lot of people have been talking about how OpenAI should be able to achieve nearly perfect scores on several of the current benchmarks on X, Reddit, and HackerNews. This would require the capacity to employ tactics like internal RAG and definitely deal with the dreaded hallucinations.
This raises the issue of artificial intelligence (AGI) and the widely talked-about loss of jobs due to AI. Altman claims that GPT-4.5 might automate 100 million jobs globally. But when he talked about improving human intellect, some took it to mean that occupations would be replaced by artificial intelligence. One billion users’ cognitive capacities could be enhanced with GPT-5.
4. Extra multimodality:
In a January audio conversation with Bill Gates, Sam Altman said that “multimodality” will be a major turning point for GPT in the next five years. In the context of artificial intelligence, the term “multimodality” describes a model’s capacity to process and generate input other than text, such as audio, images, and video.
In September 2023, OpenAI made public ChatGPT’s extended multimodal capabilities. This enables verbal communication between you and the chatbot, and the GPT-4 with Vision can comprehend images and respond to questions regarding them. Furthermore, in February, OpenAI released Sora, a text-to-video model; however, it is not yet available to the general public.
Future GPT upgrades will expand ChatGPT’s supported modalities: “It’s evident that people really want that,” Sam said on the Unconfuse Me podcast. “We released audio and pictures, and the response was far greater than we anticipated.”
5. Improved “reasoning” and accuracy:
AI systems are incredibly good at processing, computing, and calculating probability in a way that makes them appear human, despite the fact that they are incapable of reasoning, understanding, or thinking. And these capabilities will get even better with the next generation of GPT devices.
According to Sam on Unconfuse Me, “Perhaps the most significant areas of progress will be around reasoning ability.” “At this time, GPT-4’s capacity for reasoning is severely constrained.” GPT-5 should be able to solve problems more accurately because it will be trained on even more data using more powerful computation.
6. Prior to training:
The “pre-training” procedure is how the model learns from training data to generate probability distributions. The training data is more diverse and trustworthy the more skilled AI is at creating new material.
Joe mentions the context window as something to be cautious about. A token is a text segment that is sent to the model numerically encoded; it is often smaller than a word. Every model has a context window that indicates how many tokens it can process at once, and Joe says, “That’s basically how the model understands the language.” While Google’s Gemini 1.5 context window may hold up to 1 million tokens, the GPT-4 Turbo context window is limited to 128,000 tokens.
Joe says, “I think it will have profound implications for research, learning, and analysis across a variety of domains if GPT-5 makes similarly huge context available to the public.” “The productivity of knowledge work will increase dramatically, and you will save countless hours by pasting vast amounts of knowledge into a single question you ask the model.”
It’s important to remember, though, that some models could retain functionality from earlier versions.
GPT-4, the most advanced system from OpenAI, can consistently generate mistakes and logical fallacies in addition to upholding social prejudices. Sam said on the show that “if you ask GPT-4 the majority of questions 10,000 times, one of those 10,000 is probably pretty good, but it doesn’t always know which one.” “It will be crucial to improve reliability if you want to consistently receive the best response out of 10,000.”
7. Possibility of customization:
Sam on Unconfuse Me said that one of the most important areas for advancement is tailoring and modifying GPTs for specific jobs or styles. Currently, anyone with ChatGPT Plus or Enterprise can develop and explore customized “GPTs” with additional information, skills, or instructions using OpenAI. Previously known as a “plugin,” Codecademy’s customized GPT may really be used to search for documents and locate specific courses. Visit the GPT Store to see what creative GPTs people are coming up with.
Sam mentioned that in future iterations of GPT, developers might include users’ personal information. “The ability to know about you, your email, your calendar, how you like appointments booked, connected to other outside data sources, all that,” he asserted on the program.
GPT-5 versus GPT-4:
How does it overcome GPT-4? Above all, it needs to outperform GPT-4 Turbo, the sophisticated model that OpenAI charged subscribers for in November.
The company’s most advanced AI chatbot can analyze even longer prompts up to 128,000 tokens, or about the length of a 300-page book; it is also more adept at following instructions and can automatically switch between tools, such as the Dall-E 3 image generator and the Bing search engine, based on user requests. Its awareness of world events goes up to April 2023, as opposed to 2021 for GPT-4.
Even after ChatGPT was prohibited by certain schools, it has demonstrated its ability to perform well on tests.
The chatbot has also been put through real tests by OpenAI and a number of researchers. It was demonstrated that GPT-4 had a decent probability of succeeding on the difficult CFA exam. It placed between the 99th and 100th percentile on the 2020 USA Biology Olympiad semifinal exam, aced the SAT reading and writing section, and received a score in the 90th percentile on the bar exam.
Joe Holmes is an AI and machine learning curriculum creator at Codecademy. He says that unless there’s a major architectural innovation, performance usually scales linearly with data and model size. “But even small steps in the right direction will lead to unexpected new behavior,” he keeps saying.
So, what might a smarter and more sophisticated GPT be capable of? Below, we will discuss the GPT-5’s known specifications, potential differences from previous GPT models, and what we hope this new version will provide.
A brief overview of the GPT models’ past:
1. GPT-1
In 2018, OpenAI transformed the field of generative pre-trained language models with the release of GPT-1. This innovative model was built using transformers, a specific type of neural network architecture (the “T” in GPT), and was trained on a dataset of over 7,000 unique unpublished novels. You may learn more about transformers and how to use them by enrolling in our free course, Intro to AI Transformers.
2. GPT-2
Late in 2019, OpenAI developed GPT-2 as a follow-up to GPT-1. This enormous transformer-based language model, which has 1.5 billion parameters—or variables—that it learns from data during training, was trained on an 8 million web page dataset. To put things in perspective, that is ten times the quantity of information and parameters used in GPT-1.
3. GPT-3
Using GPT-3, OpenAI expanded the number of parameters to 175 billion.
4. GPT-3.5
When ChatGPT joined the chat in November 2022, it added human-like conversational capabilities and other fundamental model chat elements. The first iteration of ChatGPT was designed with the GPT-3.5 model, which is a hybrid of models 3 and 4. For more information on ChatGPT and prompt engineering best practices, check out our free course Intro to ChatGPT. You learn how to operate this powerful technology from it.
5. GPT-4
In March 2023, the most recent GPT model made its debut; according to the OpenAI blog post on the release, it is “more dependable, creative, and able to handle much more nuanced instructions than GPT-3.5.” In the video below, OpenAI President and Co-Founder Greg Brockman contrasts the newest model’s prompt response with that of the GPT-3.5.
What does all this mean for you as an end user?
What does all of this mean to you as a user who is curious in the future of artificial intelligence and is studying the field? The potential for significant speed and efficiency benefits with the upcoming model GPT-5’s problem-solving abilities is the reason for excitement and optimism. But things won’t change suddenly.
Head of DevRel at OpenAI Logan Kilpatrick said at a Lenny’s Podcast episode,
It will only be this incredibly useful tool, similar to GPT-4, and it will also quickly become extremely commonplace. “People have these unrealistic expectations that GPT-5 is going to be doing back flips in the background in my bedroom while it also writes all my code and talks on the phone with my mom or something like that,” I say.
It’s critical to manage your expectations and adopt a realistic perspective for every amazing AI release. As AI practitioners, it is our duty to employ language model outputs with caution, thoughtfulness, and awareness of the limitations—especially when there are major ramifications.
It is best to maintain your acquaintance with the available GPT models in order to prepare for the GPT-5. Start by signing up for our AI courses, which cover the most recent advancements in AI and include Intro to ChatGPT to Build a Machine Learning Model and Intro to Large Language Models. Our catalog now features case studies and AI courses that make use of a chatbot driven by GPT-3.5.
This gives you the chance to get hands-on experience creating, evaluating, and refining prompts for specific activities that make use of the AI system. For example, reading Pair Programming with Generative AI Case Study can teach you prompt engineering techniques to pair programs in Python using a chatbot similar to ChatGPT. Check out all of the AI features we’ve added lately to become a more competent and capable developer who will be ready for GPT-5 when it comes out.
Conclusion:
Ultimately, the release of GPT-5 might lead to a wider distribution and more affordable pricing of GPT-4. A lot of customers have previously been turned off by GPT-4’s high cost. But once it’s more widely available and less expensive, ChatGPT’s ability to handle challenging tasks like coding, translating, and research could significantly grow. This is all the information we currently know about this model; there are many more GPT 5 parameters to come.
