GPT-4 has been unleashed
TLDRThe Code Report discusses the release of GPT-4 by OpenAI, a groundbreaking AI model that surpasses its predecessor, GPT-3.5, in intelligence and capabilities. GPT-4, now capable of handling 25,000 input words, can create detailed tutorials, analyze code, and even translate code between languages. It's a multi-modal model that accepts images, potentially revolutionizing tasks from homework to web development. However, it's slower and may be costly. GPT-4's potential to change the landscape of programming and education is evident, as it challenges the traditional role of the programmer and teacher.
Takeaways
- 🚀 GPT-4, OpenAI's latest model, has been released, marking a significant advancement in AI capabilities.
- 🤖 GPT-4 is more intelligent, scoring in the top 10% on the bar exam, compared to GPT-3's bottom 10%.
- 📚 It can handle up to 25,000 input words, allowing for more context and detailed tasks.
- 📈 GPT-4's training data is up to date as of 2021, and it can adapt to new information with additional context.
- 🛠️ The model can generate step-by-step tutorials, documentation, and even translate code between languages.
- 🖼️ Multi-modal capabilities allow GPT-4 to process and generate content based on images, such as creating websites from sketches.
- 📝 GPT-4 can be used for educational purposes, potentially making traditional homework and term papers obsolete.
- 💸 The model may be slower and more expensive than its predecessors, especially when using a large number of tokens.
- 🔍 There are concerns about potential biases in GPT-4, with some speculating on OpenAI's political agenda.
- 🎭 Developers can customize GPT-4's behavior with system messages, allowing for tailored chatbots and problem-solving tools.
Q & A
What is the significance of the name 'GPT-4'?
-GPT-4 stands for Generative Pre-trained Transformer with the '4' representing an advancement over its predecessor, GPT-3. It signifies the fourth iteration of the model, aiming to improve upon the capabilities of GPT-3.
How does GPT-4 differ from GPT-3 in terms of intelligence?
-GPT-4 is described as smarter than GPT-3, having passed the bar exam in the top 10 percent, compared to GPT-3 which was in the bottom 10 percent. This suggests that GPT-4 has a more advanced understanding and problem-solving ability.
What new feature allows GPT-4 to handle more context?
-GPT-4 can now handle 25,000 input words, a significant increase from GPT-3's 3,000-word limit. This allows the AI to process more context, making it more effective for tasks like creating detailed tutorials or analyzing code.
How can GPT-4 be used for code documentation and analysis?
-GPT-4 can analyze code, translate it from one language to another, and even generate documentation. It can create step-by-step guides based on library documentation and help identify security vulnerabilities in smart contracts.
What is the potential impact of GPT-4 on education and homework?
-GPT-4 can solve math problems from images, potentially making traditional homework obsolete. It can also generate web applications from design sketches, which could revolutionize how students and professionals approach learning and project development.
What are the drawbacks of using GPT-4?
-GPT-4 is noticeably slower than other models, which could be a disadvantage for tasks requiring quick responses. Additionally, it is likely to be more expensive, especially when providing a large number of tokens as context.
How does GPT-4's multi-modal capability change the game for content creation?
-GPT-4's multi-modal capability allows it to accept images as input, enabling users to create websites from hand-drawn sketches or generate code from design images. This could lead to more efficient and innovative content creation processes.
What concerns have been raised about GPT-4's potential biases?
-There are speculations that OpenAI might be coding a political agenda into GPT-4, as it has been observed to refuse certain prompts related to controversial figures while complying with others. This raises concerns about the AI's neutrality and fairness.
How can developers customize GPT-4's behavior?
-Developers can pass system messages to GPT-4 to change its behavior, giving chatbots custom personas or contexts to solve specific problems. This feature allows for more personalized and targeted interactions with AI.
What is the speaker's perspective on the future of programming and AI?
-The speaker believes that the role of the programming teacher is becoming obsolete due to the advancements in AI like GPT-4. They emphasize that becoming an elite programmer now involves not just knowing how to search for information but also how to interact effectively with AI.
Outlines
🚀 Introduction to GPT-4
The script begins with the release of GPT-4 by OpenAI, described as the most advanced generative text model yet. The speaker expresses awe and concern about becoming obsolete due to GPT-4's capabilities. It is a successor to GPT-3.5 and offers new features, with early access for CPT Pro members and API access available through a waitlist. Notable clients like Microsoft Bing, Duolingo, and major banks are already utilizing GPT-4.
📚 GPT-4's Enhanced Intelligence
GPT-4 is highlighted as being smarter than its predecessor, having passed the bar exam in the top 10 percent, unlike GPT-3 which was in the bottom 10. It is also capable of acing AP exams and solving basic programming questions, though it struggles with medium and hard questions. The speaker humorously compares GPT-4's chess capabilities to those of early 90s chess engines.
📖 GPT-4's Expanded Input Capacity
GPT-4 can handle 25,000 input words, a significant increase from GPT-3's 3,000 words. This allows for more context to be provided, enabling the AI to create detailed, context-aware tutorials. The speaker demonstrates this by asking GPT-4 to create a tutorial for a new feature in Angular, which it does effectively after being provided with additional context.
🛠️ GPT-4's Multi-Modal Capabilities
GPT-4 is introduced as a multi-modal model that can process images as well as text. The speaker illustrates this by showing how GPT-4 can transform a hand-drawn sketch into a functioning website. It can also be used to generate web applications from design files, translate code, and even analyze code for security vulnerabilities.
📉 GPT-4's Limitations and Costs
The script acknowledges that GPT-4 is slower than other models, which could be a drawback for those requiring quick responses. Additionally, it is expected to be more expensive due to its token-based pricing, where a token roughly equals one word. The speaker also mentions that GPT-4's training data is up to date as of 2021.
🌐 GPT-4's Societal Impact
The speaker discusses concerns about GPT-4's potential biases, referencing speculations about OpenAI's political agenda. It is noted that GPT-4 is more likely to deny disallowed prompts, which could be problematic given the propensity of users to exploit the AI for malicious purposes.
🔄 Customizing GPT-4's Behavior
The final point made is about the ability to customize GPT-4's behavior through system messages, which can be used to give chatbots a specific persona or context. The speaker reflects on the changing landscape of programming and the role of AI in learning to code, suggesting that the future lies in proving oneself to AI rather than traditional coding skills.
Mindmap
Keywords
💡GPT-4
💡Savage
💡Bar Exam
💡Asyn AP Exams
💡Input Words
💡Multi-modal Model
💡Custom Persona
💡API Access
💡Token-based Pricing
💡Political Agenda
💡AI Protein Masterclass
Highlights
OpenAI released GPT-4, a highly advanced generative text model.
GPT-4 is described as 'savage' and the most impressive model to date.
GPT-4 is the successor to GPT-3.5, which powers ChatGPT.
GPT-4 is currently available for Chad CPT Pro members and is used by big clients like Microsoft Bing and Duolingo.
GPT-4 is significantly smarter, passing the bar exam in the top 10%.
GPT-4 can handle 25,000 input words, compared to GPT-3's 3,000.
The model can generate step-by-step tutorials and documentation from library documentation.
GPT-4 can analyze code for security vulnerabilities and translate code between languages.
GPT-4 is a multi-modal model, capable of accepting images as input.
The model can generate web applications from hand-drawn designs or Figma designs.
GPT-4 can solve easy programming questions but struggles with medium and hard ones.
GPT-4 is slower than other models and may be expensive due to token-based pricing.
There are concerns about OpenAI coding a political agenda into GPT-4.
GPT-4 is 82% more likely to deny a disallowed prompt, addressing some ethical concerns.
Developers can pass system messages to change GPT-4's behavior, creating custom personas or contexts.
The role of the programming teacher may become obsolete due to the capabilities of GPT-4.
The speaker plans to release an AI protein masterclass, leveraging the capabilities of GPT-4.
