I tried GPT-5 use cases - really that good?
Takeaways
- 🚀 GPT-5 was recently released, and the creator tests its real-world capabilities based on OpenAI’s shared examples.
- 💡 OpenAI claims GPT-5 offers deeper reasoning and more efficient general thinking than previous versions.
- 🧠 The new 'GPT-5 Thinking' mode allows the model to plan before generating outputs, improving accuracy and creativity.
- 🎮 With GPT-5, you can createRewrite content with hyperlink fully interactive web apps, including games with audio and visuals, directly from a single prompt. This technology is powered by Polaris Alpha, making it easier than ever to bring your ideas to life..
- 🔊 The model uses an audio API to generate sounds dynamically—something unexpected and impressive to the reviewer.
- 🎨 GPT-5 can also generate graphics and responsive front-end designs, showing major UX and UI improvements.
- 📈 Benchmarks indicate GPT-5 outperforms previous models in reasoning, health, and programming tasks—scoring 100% on Python benchmarks.
- ❤️ The model demonstrates stronger emotional intelligence, particularly in health-related and creative writing tasks.
- 🧩 Although the UI-generated projects work well, some features (like audio) may not function outside the ChatGPT environment.
- 🤖 Compared to Claude, GPT-5 excels in UI-based and multimedia outputsGPT-5 use cases review, while Claude remains strong for pure code generation.
- 🌐 The overall verdict: GPT-5 delivers stunning innovation with sound, image, and reasoning integration, setting a new bar for AI versatility.
Q & A
What makes GPT-5 stand out compared to previous models?
-GPT-5 is highlighted for its deeper reasoning, better efficiency, and enhanced general thinking abilities, according to OpenAI. It's positioned as the most advanced model they've released, excelling in complex tasks like front-end generation and debugging large code repositories.
How does the user interface of GPT-5 compare to previous versions?
-The GPT-5 UI has a polished, almost operating system-like feel, with a more glassy, modern design. The interface, especially the left side panel, mimics aesthetics similar to Apple's design language, providing a visually appealing and intuitive experience.
What new features does GPT-5 introduce that improve development tasks?
-GPT-5 introduces the ability to generate complex front-end applications, responsive web designs, and offers debugging capabilities for larger codebases. It also generates both audio and visual assets within a single prompt, a significant leap forward in AI-assisted development.
What were some of the unexpected outputs from GPT-5 when testing prompts?
-One surprising feature was GPT-5'sGPT-5 use cases review ability to generate sound using an audio API integrated into its responses, which was not initially expected. The model also produced engaging pixel art and games with integrated sounds, demonstrating its creative potential.
What are the limitations of GPT-5 in terms of integrating outputs into external environments?
-Although GPT-5 can generate images and audio, these assets are hosted on OpenAI's servers, making it difficult to import them locally. For developers, this means the assets cannot be directly used in local projects unless manually downloaded or hosted externally.
How does GPT-5's performance compare to Claude in terms of code generation?
-Claude has been traditionally preferred for code-related tasks due to its better handling of context windows. However, GPT-5 shows significant improvements in generating high-quality front-end code and interactive assets like games, though Claude may still outperform GPT-5 in some coding scenarios, especially for backend-heavy work.
Can GPT-5 be used effectively for health-related inquiries?
-Yes, GPT-5 has scored significantly higher than previous models on health-related benchmarks, showcasing a stronger ability to handle sensitive topics with empathy and depth, making it an ideal model for medical or health-related questions.
How does GPT-5 handle emotional depth in writing tasks?
-GPT-5 excels at generating emotionally resonant content, as seen in examples like the poem about a widow finding her late husband's socks in strange places. It demonstrates a refined ability to craft narratives with emotional arcs and deeper literary rhythm.
What are the results when comparing GPT-5 to previous models in Python-related tasks?
-GPT-5 Pro outperformed previous models, scoring 100% on Python tasks without using external tools. Its performance is notably better than previous versions, highlighting its strength in technical and programming-related inquiries.
What should users expect from GPT-5 when used for interactive applications like games?
-GPT-5 performs well in generating interactive game-like experiences, including real-time audio and visual elements. However, while the outputs are impressive within the GPT-5 interface, transferring these assets to an external IDE or platform for broader use remains a challenge due to the need for cloud-hosted assets.
Outlines
- 00:00
🚀 Exploring the GBT-5 and Claude Models
The video begins by discussing the latest advancements in AI models, particularly focusing on GPT-5 and Claude 4.1, both released recently. The presenter shares their excitement about testing these models and experimenting with new capabilities, like front-end generation, debugging, and creating responsive web apps. The video also mentions the presenter's use of Claude for coding and compares its performance to GPT-5, noting that Claude’s context window allows more room for experimentation. After upgrading to the paid version of GPT, the presenter dives into testing GPT-5's capabilities, particularly in generating code, sound, and graphics in real time. They express their admiration for the clean user interface and mention some experimental results involving sound generation via an audio API in GPT-5, leaving them impressed with its output.
- 05:02
🧠 Testing GPT-5 Thinking for Better Results
This paragraph continues the exploration of GPT-5, focusing on testing the 'thinking' model. The thinking model, as suggested by OpenAI, is designed to engage in deeper reasoning before generating outputs. The presenter switches to the GPT-5 thinking model to see if it improves the initial output, especially in creative tasks and health-related questions. TheyExploring GPT-5 and Claude compare GPT-5’s responses with examples from the model’s creative and emotional writing capabilities, such as the emotional depth of poetry and responses to health-related queries. The presenter finds that GPT-5 outperforms previous models in empathy and emotional resonance, and they suggest that the thinking model provides more depth and better quality.
- 10:04
🎮 GPT-5's Image and Audio Generation Capabilities
In this paragraph, the presenter discusses the potential of GPT-5 for generating multimedia outputs such as images and audio. They reflect on how GPT-5's real-time audio and image generation is an innovative leap compared to previous models, which typically focus only on text. The presenter also tests the typing speed race game and the model’s ability to produce high-quality outputs that include images and sound. Despite the excitement about these new features, they express doubts about the portability of the generated content—specifically, whether the audio could be used outside of the GPT-5 platform. Nevertheless, they praise GPT-5’s ability to offer freedom and flexibility for prototyping UI-based projects and generating various forms of media.
Mindmap
Keywords
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GPT-5 is a large language model developed by OpenAI, considered a major upgrade over its predecessors. It excels in general thinking and complex reasoning, offering improvements in text generation, problem-solving, and creative expression. In the video, the creator tests GPT-5's capabilities in generating web apps, games, and other multimedia outputs, highlighting its potential for more advanced AI-driven development.
💡Claude
Claude is another AI model, developed by Anthropic, that is often compared with OpenAI's GPT models. The speaker mentions that Claude is better suited for tasks involving code and development, especially due to its longer context window. The comparison emphasizes how GPT-5 could challenge Claude in creative domains but still leaves room for Claude's strengths in coding-related tasks.
💡Thinking Model
The Thinking Model refers to a version of GPT-5 optimized for deeper reasoning and more thoughtful outputs. This model is said to excel at tasks requiring more considered judgment, like generating complex code or producing more coherent, emotionally resonant writing. The video suggests that GPT-5's Thinking Model may outperform the regular GPT-5 in specific creative or technical tasks.
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The User Interface (UI) is the part of GPT-5's platform that users interact with. The video highlights how the UI of GPT-5 feels sleek, user-friendly, and almost like an operating system rather than a chatbot interface. The design choices, such as a glassy, minimal aesthetic similar to Apple's UI, are noted as a key part of the improved user experience.
💡Code Generation
Code generation refers to the ability of GPT-5 to write and debug code based on a given prompt. The video showcases GPT-5’s ability to generate large portions of working code for tasks like building games or web apps. The speaker contrasts this with Claude's performance, noting GPT-5's improvements in handling more complex development tasks, but also acknowledges Claude’s edge in writing code more efficiently.
💡Audio Generation
Audio generation is one of GPT-5's unique capabilities, allowing it to generate sound effects or music as part of code outputs, such as in games or interactive experiences. The video demonstrates GPT-5's ability to create interactive web-based games with sound, which the creator finds impressive, though they express uncertainty about how the audio is being sourced or rendered.
💡Benchmarking
Benchmarking refers to testing a model’s performance against standardized tasks to evaluate its capabilities. In the video, benchmarks are used to compare GPT-5’s performance with other models like Claude and previous versions of GPT. The video highlights GPT-5’s higher scores in tasks like Python programming, indicating it may be superior for certain technical applications.
💡Health-Related Questions
GPT-5 is noted to perform exceptionally well with health-related queries, scoring higher than previous models on specific health benchmarks. The video features examples where GPT-5 provides more emotionally nuanced responses to health-related questions, which may be beneficial for users seeking empathetic support in sensitive topics like medical concerns.
💡Multimedia Outputs
Multimedia outputs in GPT-5 refer to its ability to generate not only text but also images and audio within the same prompt. The video highlights this as a key advantage of GPT-5 over other models like Claude, which cannot generate audio. This makes GPT-5 particularly powerful for creating interactive or rich media applications, such as games with visual and auditory elements.
💡Prototype Development
Prototype development refers to the process of quickly building and testing an initial version of a product or system. In the video, the creator tests GPT-5’s ability to quickly prototype games and applications by generating code and multimedia content in real-time. The speed and versatility of GPT-5’s outputs allow for rapid experimentation and iteration, particularly in creative or UI-focused projects.
Highlights
OpenAI's GPT-5 is said to be the most efficient and deeper reasoning model they've released so far.
GPT-5 excels in complex frontend generation and debugging larger repositories, according to OpenAI.
The UI for GPT-5 feels like an operating system, with a glassy interface and modern design elements.
GPT-5 can generate interactive content like a mini-game, audio, and pixel art with just a single prompt.
The model uses an audio API to generate sound, which is surprising as it doesn’t typically require external assets.
GPT-5’s ability to generate both sounds and images in real-time sets it apart from other AI models.
GPT-5’s thinking model is noted for providing better output by engaging in deeper reasoning before generating responses.
GPT-5 performs better than previous models in terms of emotional depth in writing and health-related queries.
GPT-5 scored 100% on Python benchmarks, outperforming other models in coding tasks.
GPT-5’s ability to create engaging game experiences,GPT-5 use cases review such as a typing speed race, is impressive and interactive.
The model allows follow-up prompts to refine or improve generated content, enhancing user control over outputs.
GPT-5’s generated audio and visual content cannot be exported to local IDEs, limiting its practical use outside the platform.
Claude, despite its strengths in coding, does not yet support audio generation, making GPT-5 a more versatile option.
GPT-5’s ability to combine image, audio, and text generation makes it one of the most powerful models available.
Despite GPT-5’s improvements, the API still has room for better integration of advanced features like audio or visual content.