According to the information provided, it appears that OpenAI is planning to release a new model called "GPT Next" in November 2024, shortly after the 2024 US elections. Some key points:

• The GPT Next model is expected to represent a significant "step function" improvement in reasoning capabilities compared to current models like GPT-3 and GPT-4. This suggests a substantial leap in the AI's ability to understand, process, and generate more complex, abstract, and logical forms of reasoning.

• This enhanced reasoning is likely to enable the GPT Next model to tackle more complex problems that require multi-step and logical reasoning, leading to improved decision-making and problem-solving abilities.

• The release date of November 2024 was chosen deliberately by OpenAI to avoid any potential negative PR or concerns about the model's impact on the 2024 US elections. OpenAI's CTO has confirmed that the elections were a major factor in the timing of the model's release.

• There are indications that OpenAI may not continue with the traditional GPT-5 naming convention, and the "GPT Next" moniker suggests they may be planning something more substantial than a typical incremental upgrade.

• The significant increase in compute power and resources being dedicated to training these next-generation models implies that the capabilities of the GPT Next model could be truly transformative, potentially making current models "unrecognizable" within 1-2 years.

In summary, the upcoming release of the GPT Next model appears to be a highly anticipated and potentially game-changing development in the field of large language models, with OpenAI taking great care to ensure its responsible deployment.

According to the information provided, it seems that OpenAI is planning to release a new model called "GPT Next" in November 2024, which is expected to represent a significant leap in reasoning capabilities and overall model intelligence.

Some key points:

• The graph shows a "step function" increase in model intelligence from GPT-4 to GPT Next, indicating a substantial, rather than incremental, improvement in reasoning abilities.

• This enhanced reasoning is expected to enable the GPT Next models to tackle more complex problems requiring multi-step and logical reasoning, with improved understanding of context and nuances.

• The OpenAI CTO stated that within 1-2 years, the models will be "unrecognizable" from what they are today, suggesting rapid and transformative advancements in the near future.

• The release of GPT Next appears to be strategically timed to avoid potential political sensitivities around the 2024 U.S. elections, as OpenAI has expressed concerns about the impact their advanced models could have.

• The scale of compute power being used to train these next-generation models, described as a "whale-sized" supercomputer, further indicates the significant resources and capabilities OpenAI is investing in pushing the boundaries of language model intelligence.

Overall, the information points to OpenAI preparing to unveil a major leap forward in their language model technology, with the GPT Next model expected to demonstrate a substantial increase in reasoning, problem-solving, and overall intelligence capabilities compared to current state-of-the-art systems.

One of the key points discussed in the transcript is the release date and timing of the upcoming OpenAI models, particularly in relation to the 2024 United States elections.

The transcript reveals that OpenAI's CTO, Mira Murati, has confirmed that the elections are a major factor in the release timeline for their next model, which is referred to as "GPT Next" rather than GPT 5.

Specifically:

• The image shows a timeline with "GPT Next" scheduled for release in November 2024, shortly after the US elections on November 5th, 2024.
• Murati stated that OpenAI will not be releasing anything they are not confident about in terms of how it might affect global elections or other issues.
• This suggests OpenAI is being cautious about releasing a potentially powerful AI model too close to an election, to avoid concerns about potential misuse or influence.
• The transcript speculates this could be due to wanting to avoid negative PR or public perception issues around the model's capabilities and timing.

Overall, the transcript indicates OpenAI is carefully considering the societal and political implications of their model releases, and is willing to delay the launch of their next-generation model to avoid potential controversies around election integrity. This underscores the significant responsibility and foresight required when developing transformative AI technologies.

Openai has outlined four key investment areas that they are focusing on:

1. Textual Intelligence: Openai believes that by increasing textual intelligence, they can unlock transformational value in AI. They currently offer two major models - GPT-4 (their best model with native multimodality) and GPT-3.5 Turbo (a cheaper model for simple tasks). Openai expects the potential to increase LLM intelligence to remain huge, and they believe the models will become unrecognizable from what they are today within 1-2 years, with a "step function in reasoning improvements" in their next frontier model.

2. Cheaper and Faster Models: Openai wants to ensure their models are cheaper and faster over time, as not every use case requires the highest level of intelligence. They have already seen an 80% decrease in GPT-4 pricing in just one year, which they see as critical for enabling widespread adoption and innovation with AI-native products.

3. Custom Models: Openai is investing in the ability to build custom models tailored to specific use cases and applications, beyond their general-purpose language models.

4. Multimodal Agents: Openai is working on developing multimodal agents that can leverage text, access to context and tools, and other modalities to provide a more natural and capable way for users to interact with software. Examples include an AI software engineer agent and a voice-based ordering agent for drive-throughs.

Openai is clearly pushing the boundaries of language model capabilities, with plans to release significantly more advanced models in the near future. The focus on textual intelligence, cost-effectiveness, customization, and multimodal interaction suggests Openai is aiming to make their AI technology more accessible, versatile, and impactful across a wide range of applications and industries.

The speaker discusses the immense computational power that OpenAI is leveraging to train their next-generation language models. He uses a visual metaphor of different marine animals to illustrate the scale of the compute being used:

• In 2020, the system that trained GPT-3 was about the size of a "shark" in terms of compute.
• The system that trained GPT-4 in 2022 was about the size of an "orca".
• The system that has just been deployed is about the size of a "whale" in comparison.

The speaker emphasizes that with this "whale-sized" supercomputer, OpenAI can "build a whole hell of a lot of AI". This indicates that the next set of capabilities they are working on will be truly transformative, leveraging this massive computational power.

The speaker also notes that this exponential progression in compute is directly tied to the exponential improvements in the capabilities of the language models. He states that the relationship between the scaling of the compute and the resulting platform capabilities is "really beautiful".

This provides important context for understanding the rapid advancements that are expected in the next Frontier models from OpenAI, such as the "GPT Next" model mentioned earlier. The immense computational resources being applied suggest that these future models will represent a significant leap forward in reasoning abilities and overall intelligence.

One of the key investment areas for OpenAI is the development of agentic workflows and assistive experiences. These advancements aim to unlock transformational value in AI by enhancing textual intelligence and reasoning capabilities.

The speaker highlights that current language models, while impressive, are still limited in their abilities, akin to "first or second graders." However, they emphasize that these models will become unrecognizable within the next 1-2 years, suggesting a step function improvement in reasoning and problem-solving skills.

This step function improvement means that the next-generation models, potentially called "GPT Next," will be able to tackle more complex problems that require multi-step and logical reasoning. This enhanced understanding and decision-making will open up a wide range of new applications, from medical research to scientific reasoning.

The speaker also discusses the importance of making these models cheaper and faster, ensuring that they are accessible for a wide range of use cases and developers. They highlight the significant price decrease of GPT-4, which has dropped by 80% in just one year.

Furthermore, the speaker delves into the concept of agentic workflows, where AI agents can leverage text, context, and tools to interact with software in a more natural and intuitive way. Examples include an AI software engineer that can write code, create tickets, and deploy solutions, as well as a voice-based agent that can assist with tasks like placing orders at a drive-through.

The presentation showcases the "Assistance API," a toolkit that allows developers to integrate these agentic workflows and assistive experiences into their own applications. Features include automatic conversation history management, function calling to integrate app-specific capabilities, knowledge retrieval from uploaded files, and a code interpreter to handle numerical and financial calculations.

Overall, the focus on agentic workflows and assistive experiences, coupled with the anticipated step function improvement in reasoning capabilities, suggests that the next generation of OpenAI models will significantly enhance the way humans interact with and leverage AI technology across a wide range of applications.