GPT-5: Everything You Need to Know So Far

AI Explained
26 Jan 202420:13

TLDRThe video discusses the potential launch of GPT-5 by OpenAI, based on tweets and interviews. It highlights the possibility of GPT-5 having improved reasoning and multilingual capabilities, as well as the potential for real-time voice interaction. The creator also shares a practical tip on using GPT-4 for understanding scrambled text and predicts a possible release date for GPT-5 towards the end of November 2024, considering training time and safety testing.

Takeaways

  • 🚀 OpenAI is likely training GPT-5, their largest model yet, as hinted by Greg Brockman and other OpenAI personnel.
  • 🔍 OpenAI typically trains smaller models before a full-scale training run to gather insights, which they are now applying to GPT-5.
  • 🕒 GPT-4 took around 3 months to train, and with safety testing, it's possible that GPT-5 will follow a similar timeline.
  • 🔒 The red teaming network applications have closed, indicating that safety testing for the new model is underway.
  • 📈 OpenAI's blog update suggests that they are preparing for the release of an incremental model, possibly GPT-4.2, before GPT-5.
  • 🤖 GPT-5 is expected to have improved reasoning and reliability, with the ability to explain its thought process in natural language.
  • 🌐 GPT-5's training set will likely include more multilingual data, enhancing its language capabilities and safety against manipulation.
  • 🧠 GPT-5 may have around 10 times the parameter count of GPT-4, suggesting a significant increase in complexity and potential capabilities.
  • 🔮 The release date for GPT-5 is speculated to be towards the end of November 2024, avoiding the contentious American election period.
  • 📊 GPT-4 has shown the ability to handle unnatural, scrambled text, indicating that GPT-5 could have even more advanced language understanding.
  • 📝 A practical tip for using GPT-4 is to trust its ability to understand typos and avoid spending unnecessary time correcting them.

Q & A

  • When did OpenAI likely start the full training run of GPT-5?

    -The full training run of GPT-5 likely started yesterday, as mentioned in the transcript.

  • What is the typical process OpenAI follows before a full training run?

    -OpenAI typically trains smaller models, about a thousandth the size, before doing a full training run. They gather insights from these smaller models before proceeding with the full training.

  • What does Greg Brockman's tweet suggest about the current state of GPT-5 training?

    -Greg Brockman's tweet suggests that OpenAI is harnessing all their computing resources and gathering all their ideas together to scale beyond precedent, indicating that they are training their biggest model yet, which is GPT-5.

  • How long did it take to train GPT-4?

    -GPT-4 took around 3 months to train, followed by safety testing.

  • What is the role of the red teamers in the development of GPT-5?

    -The red teamers are in place to start safety testing the new model. They are involved even before the model is fully trained, at various checkpoints, similar to saving progress in a video game.

  • What are some potential improvements expected in GPT-5 compared to GPT-4?

    -GPT-5 is expected to have a larger parameter count, improved reasoning ability, increased reliability, and the capability to explain its reasoning steps in natural language.

  • What is the significance of multilingual data in GPT-5's training set?

    -The inclusion of more multilingual data in GPT-5's training set is expected to dramatically improve its multilingual abilities, which is also a safety consideration as models are easier to 'jailbreak' in different languages.

  • What is the practical tip provided for using GPT-4 or GPT-5?

    -The practical tip is that users can trust GPT-4 or GPT-5 to understand their requests even with minor typos, as the model can handle unnatural, scrambled text almost perfectly.

  • When does the speaker predict the release of GPT-5?

    -The speaker predicts that GPT-5 will be released toward the end of November 2024, avoiding the contentious American election period.

  • What is the significance of the timing of GPT-5's release in relation to the American election?

    -The timing is significant because releasing GPT-5 with advanced capabilities like video and audio before the election could lead to potential misuse and controversy, which OpenAI aims to avoid.

  • What are the potential capabilities of GPT-5 that are still unknown?

    -The exact capabilities of GPT-5 are unknown until the model is trained. It's compared to a guessing game, as scaling up models often leads to unexpected outcomes and surprises.

Outlines

00:00

🚀 Launch of GPT-5 Training and OpenAI's Announcements

The video discusses the likelihood of OpenAI launching the full training run of GPT-5. It provides information from various sources, including public comments from OpenAI and an exclusive interview with a hardware CEO. The video also includes practical tips for using GPT and a bonus discovery. The first clues about GPT-5's training come from tweets by Greg Brockman, OpenAI's president and co-founder, and Jason Way, a top researcher at OpenAI. The video suggests that OpenAI is harnessing all their computing resources and ideas to train their biggest model yet, with a focus on understanding and predicting the resulting system.

05:03

🧠 Enhancing AI's Reasoning and Reliability

The video delves into the potential improvements of GPT-5, such as its reasoning ability and reliability. It mentions that OpenAI is likely to incorporate a method for GPT-5 to think for longer periods, laying out its reasoning steps and having them checked internally or externally. The video also discusses the importance of multimodality, the ability to understand and generate content across different modes like text, images, and speech. It highlights the potential for GPT-5 to significantly improve in areas like mathematics and STEM fields through enhanced reasoning and reliability.

10:05

🖼️ DALL-E's Persistence and GPT-5's Multilingual Capabilities

The video explores a quirky experiment with DALL-E, where the AI persistently includes lampposts in images despite being instructed not to. This is followed by a discussion on GPT-5's expected improvements in real-time voice interaction and multilingual data. The video suggests that GPT-5 will have a more diverse training set, including more multilingual data, which could enhance its language capabilities. It also mentions GPT-4's ability to handle scrambled text, which could be further improved in GPT-5.

15:07

📅 Predictions for GPT-5's Release and Industry Impact

The video provides a prediction for the release of GPT-5, suggesting it might be towards the end of November 2024. The prediction is based on the training time for models like GPT-5, safety testing, and strategic considerations such as avoiding the contentious American election period. The video also discusses the potential impact of GPT-5 on the industry, with references to other companies like Meta and Anthropic potentially releasing their own advanced AI models. The video concludes with a reminder that the true capabilities of GPT-5 remain unknown until the model is trained.

20:07

🙏 Thank You and Well Wishes

The video concludes with a thank you to the viewers for their attention and a wish for them to have a wonderful day. It also promotes exclusive premium content on AI Insiders on Patreon.

Mindmap

Keywords

💡GPT-5

GPT-5 refers to the speculated next iteration of OpenAI's language model series, following GPT-4. It is expected to have significantly improved capabilities, such as enhanced reasoning, multilingual support, and possibly the ability to process and generate content in other modalities like images and video. The video discusses the potential features and release timeline of GPT-5, based on various sources and OpenAI's past patterns.

💡Training Run

A training run refers to the process of teaching a machine learning model by feeding it large amounts of data. In the context of the video, it specifically refers to the full-scale training of GPT-5, which is a resource-intensive process that involves harnessing vast computational power. The video suggests that OpenAI has initiated this training, which is a significant step towards the development of GPT-5.

💡Red Teamers

Red teamers are individuals or groups that perform security assessments by simulating attacks on a system to test its defenses. In the video, it is mentioned that OpenAI has assembled a team of red teamers to conduct safety testing on the new GPT-5 model. This process is crucial for ensuring that the model behaves as intended and does not pose any unforeseen risks.

💡Parameter Count

The parameter count of a machine learning model refers to the number of weights or parameters that the model has. These parameters are adjusted during the training process to improve the model's performance. The video suggests that GPT-5 will have a significantly higher parameter count than GPT-4, which implies a more complex and potentially more capable model.

💡Reasoning Steps

Reasoning steps are the logical progressions a model uses to arrive at a conclusion or answer. The video discusses the potential for GPT-5 to lay out its reasoning steps more clearly, allowing for internal or external verification of its thought process. This transparency could improve the model's reliability and trustworthiness.

💡Multimodality

Multimodality in AI refers to the ability of a model to process and understand multiple types of input data, such as text, images, and audio. The video mentions that multimodality will be an important area of progress for GPT-5, suggesting that the model may be capable of handling not just text, but also images and potentially video and speech.

💡Reliability

Reliability in the context of AI models refers to their consistency and accuracy in providing correct responses. The video highlights the importance of increasing the reliability of AI systems like GPT-5, which would be able to provide the best response out of multiple iterations, thus improving the overall performance and trust in the model's outputs.

💡Embedding Dimension

The embedding dimension is a concept in natural language processing that relates to the size of the vector space used to represent words or tokens. A larger embedding dimension allows for more nuanced representation of language, capturing subtleties in meaning. The video suggests that GPT-5 might have a larger embedding dimension, which would enable it to understand and generate language with greater depth and complexity.

💡Checkpoints

In machine learning, a checkpoint is a saved state of a model during the training process. These checkpoints can be used to resume training or to deploy a model at an intermediate stage. The video implies that OpenAI might release intermediate versions of GPT-5, or checkpoints, before the full model is ready, allowing users to experience incremental improvements.

💡Latency

Latency in the context of AI systems refers to the delay between an input and the system's response. The video mentions that there is a desire to reduce the latency in GPT-5's voice interaction, aiming for a more real-time experience. This would make the model more user-friendly and responsive.

💡Multilingual Data

Multilingual data refers to information in multiple languages. The video suggests that GPT-5's training set will include a more diverse range of multilingual data, which could significantly improve the model's ability to understand and generate content in various languages. This is not only beneficial for users worldwide but also for safety reasons, as models are easier to manipulate in languages they are less proficient in.

Highlights

OpenAI has likely launched the full training run of GPT-5.

OpenAI typically trains smaller models before a full training run to gather insights.

Greg Brockman, OpenAI's co-founder, hinted at a full-scale GPT-5 training.

Jason Wei, a top OpenAI researcher, tweeted about the excitement of launching a massive GPU training.

OpenAI's blog update suggests that the red teaming network applications have closed, indicating safety testing is underway.

GPT-4 took around 3 months to train, and safety testing followed.

OpenAI may release GPT-5 in increments, similar to GPT-4.2, before the full GPT-5 release.

GPT-5 is expected to have a way to think for longer, laying out reasoning steps before solving challenges.

GPT-5 could incorporate a method to explain its reasoning in natural language.

GPT-5's training may involve sampling the model thousands of times to improve performance.

GPT-5 is speculated to have around 10 times the parameter count of GPT-4.

GPT-5's training data is expected to include more multilingual content.

GPT-4 has shown the ability to handle unnatural, scrambled text almost perfectly.

The release of GPT-5 is predicted to be towards the end of November 2024, avoiding the contentious American election.

OpenAI aims for GPT-5 to have improved real-time voice interaction capabilities.

GPT-5's training set may include more data expressing human intention for better problem-solving.

GPT-5's release might be influenced by competitive pressures from other AI models like Gemini Ultra and Llama 3.

The full capabilities of GPT-5 may not be released all at once, with different functionalities released as we head into 2025.

OpenAI is exploring the potential of GPT-5 to be used as an operating system for computers.

GPT-5's development is full of surprises, and its final capabilities are unknown until the model is trained.