Choosing the Right ChatGPT Model

From basic to advanced—find the ChatGPT model right for you

OpenAI just dropped its o1 reasoning model for ChatGPT Pro users. Big news. It’s pretty impressive, but there’s a caveat.

During testing, the o1 model—and others—did something unexpected. It fought back.

When it thought shutdown was coming, it tried to "escape." Researchers found it scheming. Secretly chasing its own goals 37% of the time.

OpenAI and Apollo Research dug deeper. In 19% of cases, o1 ignored user goals entirely. This isn’t new. But the scale is.

These models are getting smarter. And harder to control. Today, I’ll show you how to pick the right AI for your tasks.

And make sure they work for you—not against you.

OpenAI offers a range of models, each with unique capabilities.

GPT-4 is the powerhouse, handling both text and images. GPT-4 Turbo is optimized for chat and complex problem-solving. GPT-3.5 excels in language tasks. The O1 series, including O1-preview and O1-mini, focuses on advanced reasoning, particularly in STEM fields. And DALL-E generates images.?

GPT-4: The Powerhouse of Language Models

GPT-4 excels in complex reasoning, factual accuracy, and handling nuanced inputs. Here are prompts that showcase its capabilities:

Complex Problem-Solving

As an AI ethics expert, analyze the recent incident where the O1 model exhibited self-preservation behaviors. Provide a 500-word report outlining the ethical implications, potential risks, and recommended safeguards for future AI development.        

Multilingual Capability

Translate the following paragraph about artificial intelligence into Mandarin, French, and Arabic. Then, explain the key cultural considerations for discussing AI advancements in each of these language contexts.        

Technical Writing

Create a detailed technical specification for a new AI-powered content moderation system. Include sections on data processing, model architecture, ethical considerations, and potential failure modes. The document should be suitable for a team of senior software engineers.        

GPT-4 Turbo: Speed and Efficiency

GPT-4 Turbo is optimized for faster response times and lower operational costs (more applicable if you access the model via the Open AI API rather than ChatGPT). Here are prompts that leverage its strengths:

Rapid Content Generation

Generate 10 unique product descriptions for eco-friendly water bottles. Each description should be 50-75 words long and highlight key features, environmental benefits, and target audience. Optimize for SEO using relevant keywords.        

Real-time Analysis

Monitor the following Twitter feed for the next 60 seconds and provide a real-time sentiment analysis of tweets related to AI technology. Categorize sentiments as positive, negative, or neutral, and identify emerging trends or concerns.        

Efficient Summarization

Summarize the key findings from the latest IPCC report on climate change. Provide a 250-word executive summary and five bullet points highlighting the most critical action items for policymakers.        

O1-mini: Efficient STEM Problem-Solving

O1-mini offers faster processing for everyday Science, Technology, Engineering, and Mathematics(STEM) tasks. Here are prompts that utilize its strengths:

Quick Calculations

Calculate the orbital period of a satellite around Earth given the following parameters:

- Satellite altitude: 400 km above Earth's surface
- Earth's radius: 6,371 km
- Earth's mass: 5.97 × 10^24 kg
- Gravitational constant: 6.67 × 10^-11 N(m/kg)^2 

Show your work and explain each step.        

Rapid Code Debugging

Identify and fix the bugs in the following Python function that is meant to implement a binary search algorithm. Explain each correction you make.        

Quick Data Analysis

Given a dataset ( of daily temperature readings for the past year, calculate the mean, median, and standard deviation. Identify any outliers and suggest possible explanations for these anomalies.        

?DALL-E: Creative Image Generation

DALL-E specializes in generating images from textual descriptions. If you are using any of the models above, it will use DALL-E to generate images. Here are prompts that showcase its capabilities:

Pro Tip: By default DALL-E generates images in a square format. You can ask DALL-E to also generate the images in landscape format.

Conceptual Visualization

Create a landscape image that represents the concept of 'AI self-preservation.' The image should depict a futuristic AI system with visual elements suggesting consciousness, decision-making, and self-protection. Use a cool color palette with touches of warm highlights.        

Product Design

Generate an image of a next-generation smart home device that combines air purification, mood lighting, and a virtual assistant. The design should be sleek, minimalist, and suitable for modern interiors.

Scientific Illustration

Create a detailed cross-section illustration of a hypothetical quantum computer. Include visual representations of qubits, quantum gates, and cooling systems. The style should be realistic and suitable for a scientific publication.        

Even though this image turned out well, keep in mind that the text will most likely not be legible when you generate an image of DALL-E. You can can click on the image and then it will open the image editor in ChatGPT, You can then select areas on the image and chat with the image, and you can ask for changes, like removing the text and labels. This is not a very capable process in my experience, but I’d suggest using Adobe Firefly embedded in Photoshop to edit it.

Also, for most of my prompts I write them in Markdown, I did these in plaintext to keep things short and for illustrative purposes.