OpenAI Updates ChatGPT 4! New GPT-4 Turbo with Vision API Generates Responses Based on Images

OpenAI has introduced a significant update to ChatGPT 4 with a new GPT-4 Turbo API endpoint that incorporates visual elements. This upgrade allows developers to integrate image recognition into their software, enabling the model to understand and respond to images, such as identifying objects within them. Examples of applications leveraging this technology include a health app that analyzes food images for nutritional information and a no-code tool that translates UI designs into code. While the technology is impressive, it comes with a higher cost compared to industry competitors like Anthropic's Opus model, which does not offer visual capabilities. The pricing calculator indicates that processing visual elements can become expensive at scale, but the potential for creating innovative AI-driven applications with vision capabilities is vast, marking a new level of advancement in software development.

Takeaways

• 🚀 OpenAI has released an upgraded API endpoint for GPT-4, known as GPT-4 Turbo, which now includes the ability to process visual elements.
• 📈 The new GPT-4 Turbo endpoint allows developers to integrate visual recognition capabilities into their software, enhancing AI model functionality.
• 📱 Example applications include Healthify Snap, which can analyze food images to provide nutritional information, and TL Draw, a no-code UI design tool.
• 💡 The development community is encouraged to understand both no-code and traditional coding methods to maintain a competitive edge in software creation.
• 🔍 The cost of using the new GPT-4 Turbo with Vision API is compared to that of Anthropic's Opus model, with OpenAI offering a more cost-effective solution.
• 💰 The pricing for processing visual data is discussed, highlighting that while the cost is substantial, it could be manageable for certain applications with a large user base.
• 📈 The script emphasizes the potential for increased profit margins in applications that provide high value to consumers, such as the food analysis example.
• 📉 The cost of image processing is calculated, showing that for a hypothetical user base and usage scenario, the cost per user could be relatively low.
• 🔮 The video outlines the exciting future of software development with the integration of AI and vision capabilities, indicating a significant step forward in technology.
• 👍 The presenter, Corbin, encourages viewers to like the video and subscribe to the channel for more updates on AI, business, and software development.
• 📚 The video concludes with a call to action, directing viewers to a playlist called 'New Things in Tech' for further educational content on software application development.

Q & A

What is the recent update from OpenAI regarding ChatGPT 4?

OpenAI has released an upgraded API endpoint for the ChatGPT 4 model, which now allows for the integration of visual elements within software applications.

What does the new endpoint for GPT-4 model enable developers to do?

The new endpoint enables developers to access visual elements within the GPT model, allowing them to input images and receive understanding of the content, such as identifying objects within the images.

How does the Healthify Snap app utilize the new GPT-4 Turbo endpoint?

Healthify Snap uses the new endpoint to analyze images of food, providing information about calories, fats, and proteins.

What is TLD Draw and how does it relate to the GPT-4 Turbo's capabilities?

TLD Draw is a no-code software that allows users to design a website UI and then generates a visual representation of what the code would look like. It is an example of how software development is progressing with AI and vision capabilities.

How does the cost of using the GPT-4 Turbo endpoint compare to an industry competitor like Anthropic?

The GPT-4 Turbo endpoint costs around $10 per 1 million inputs, whereas Anthropic's Opus model costs $15 for 1 million tokens, which is a substantial increase in cost.

What are the implications of the new GPT-4 Turbo endpoint for software development?

The new endpoint allows for the creation of software applications with integrated AI and vision capabilities, marking a significant advancement in the field of software development.

What is the potential cost associated with processing visual elements using the GPT-4 Turbo endpoint?

The cost can be calculated using the vision pricing calculator provided by OpenAI. For example, processing a 1024x1024 image would cost around $0.765.

How might the cost of using the GPT-4 Turbo endpoint affect consumer-facing applications?

While the cost of image processing is relatively low per user, it can add up with a large user base, potentially affecting the profitability of consumer-facing applications.

What does the speaker recommend for those looking to leverage no-code solutions in software development?

The speaker recommends understanding the underlying code as well, as it provides a distinct advantage in the industry and allows for more effective use of no-code solutions.

What is the significance of the GPT-4 Turbo's vision capability in the context of creating content?

The vision capability allows for the internalization of content and the creation of new content based on that content, opening up a wide range of possibilities for content creation and analysis.

How does the speaker suggest users keep up with new developments in technology?

The speaker suggests subscribing to their channel and following the 'New Things in Tech' playlist for updates on the latest advancements in technology.

Outlines

00:00

🚀 Introduction to OpenAI's GBT 4 Model Update

The video introduces a significant update to OpenAI's chat GBT 4 model, specifically an upgraded API endpoint that allows developers to integrate visual elements into their software. The host explains that this update is a step forward in software development, as it enables the use of AI models that can understand and process images, such as identifying objects within them. The video also discusses the implications of this technology for no-code software development and provides examples of applications that have already been created using this new endpoint, like a health app that analyzes food images for nutritional information.

05:01

💰 Cost Analysis and Comparison with Competitors

The second paragraph delves into the cost implications of using the new GBT 4 model's API endpoint. It compares the pricing of OpenAI's model with that of its competitor, Anthropic, highlighting the higher cost of the latter. The host uses a hypothetical scenario to illustrate the potential costs associated with processing a large number of images, such as Instagram photos, and calculates the expense based on the model's pricing. The summary also touches on the importance of understanding the underlying code for software development, despite the convenience of no-code solutions, and emphasizes the excitement of creating software applications with AI and vision capabilities.

Keywords

OpenAI

OpenAI is a research and deployment company that creates and utilizes new AI technologies to benefit humanity. In the context of the video, OpenAI is the organization responsible for the release of the GPT-4 model, which is a significant update to their language model series.

Chat GPT 4

Chat GPT 4 refers to the fourth iteration of the GPT (Generative Pre-trained Transformer) model developed by OpenAI. The video discusses an update to this model, which now includes an upgraded API endpoint allowing it to process visual elements in addition to text.

API Endpoint

An API (Application Programming Interface) endpoint is a specific location in a network that is used to either send or receive data from a web service. In the video, the new endpoint for GPT-4 is highlighted as it enables the model to access and interpret visual data, which is a new capability for the model.

Vision API

The Vision API is a component of the GPT-4 model that allows it to process and understand visual information, such as images. This is a new feature that enables the model to generate responses based on visual input, which was not possible with previous versions.

Software Development

Software development is the process of creating software applications through various stages like design, development, testing, and maintenance. The video discusses the implications of the new GPT-4 model on software development, particularly how it can be integrated into software to enhance its capabilities with AI and vision.

No-Code

No-code refers to the ability to create software applications without writing any code. The video mentions no-code in relation to the ease of leveraging AI models like GPT-4 through user interfaces that abstract away the complexity of programming.

Healthify Snap

Healthify Snap is an example application mentioned in the video that utilizes the GPT-4 model's vision capabilities. It allows users to take a picture of their food, and the application can analyze the image to provide nutritional information such as calories, fats, and proteins.

TL Draw

TL Draw is a no-code software mentioned in the video that enables users to design a website user interface and then generate the corresponding code for it. It's an example of how AI and no-code technologies can be combined to simplify the process of software development.

Anthropic

Anthropic is an AI research company and is presented in the video as an industry competitor to OpenAI. The video compares the costs associated with using OpenAI's GPT-4 model to those of Anthropic's models, highlighting differences in pricing and capabilities.

Cost Analysis

The cost analysis in the video involves comparing the expenses of using the GPT-4 model's vision capabilities to the potential revenue that could be generated from applications utilizing this technology. It discusses the potential profitability of applications like Healthify Snap, considering the costs of processing images.

AI and Vision Capabilities

AI and vision capabilities refer to the combination of artificial intelligence and computer vision technologies that enable systems to interpret and understand visual data. The video emphasizes the significance of this combination for creating advanced software applications that can process and respond to visual inputs effectively.

Highlights

OpenAI has released a significant update with Chat GPT-4, introducing an upgraded API endpoint with visual capabilities.

The new GPT-4 Turbo API endpoint allows software to incorporate and understand visual elements from images.

Developers can now integrate the GPT-4 model into their own software to process images and generate responses based on visual data.

An example application, Healthify Snap, uses the API to analyze images of food and provide nutritional information.

TL Draw is another application that leverages the API to transform hand-drawn UI designs into code.

Despite the ease of no-code solutions, understanding traditional coding methods provides a competitive advantage in software development.

The cost of using the GPT-4 Turbo API is compared to that of Anthropic's Opus model, with OpenAI offering a more cost-effective solution.

The pricing for image processing using the Vision API is detailed, with calculations provided for different use cases.

The potential cost of processing a large number of images, such as Instagram photos, is discussed in the context of user base size.

The video explores the economic implications of using the API for businesses, considering both the potential profits and costs.

The ability to create software applications with AI and vision capabilities is seen as a significant step towards the next level of technological advancement.

The integration of vision capability with other AI functionalities opens up possibilities for more sophisticated and interactive applications.

The presenter, Corbin, encourages viewers to like the video and subscribe for more content on AI, business, and software development.

A playlist called 'New Things in Tech' is mentioned for viewers interested in the latest updates in technology.

The video concludes with a call to action for viewers to check out the description for more information on building software applications.

Corbin introduces himself and his channel's focus on various models of AI and software development, inviting viewers to follow for more insights.

The video provides a comprehensive overview of the GPT-4 Turbo update, emphasizing its potential impact on software development and user experience.