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The CORRECT way to use ChatGPT (in 2025)

#AI Tools
2025-07-14 11:528 min read

Content Introduction

This video discusses the recent updates to ChapT and highlights the difficulties of keeping track of over 1.1 updates per week. It emphasizes the importance of understanding and utilizing different AI models effectively, particularly distinguishing between basic chat models and reasoning models based on query complexity. The video provides real-world examples illustrating when to use each model, offers tips for prompting reasoning models, and discusses the benefits of using ChatGBT's web search function, utilizing deep research, and the canvas feature for productivity. Additionally, it includes a mention of an educational sponsorship by Corsera, promoting AI courses. Finally, the video concludes with efficiency tips for leveraging AI models in everyday tasks.

Key Information

  • ChapT has rolled out over 1.1 updates per week this year, making it challenging to keep track of all changes and identify worthwhile features.
  • The video aims to simplify understanding by cutting through jargon and showing real-world examples when to use specific features.
  • Choosing the right AI model is vital, with most users advised to default to the latest O number reasoning model due to its updated accuracy.
  • Basic chat models are suitable for low-stakes tasks requiring quick answers, while reasoning models provide better, nuanced answers for more complex queries.
  • Using examples effectively in prompts can enhance output quality, and it’s important to choose between basic and reasoning models based on task complexity, not type.
  • For enhanced productivity, consider how and when to use the web search features of AI models, versus traditional search engines like Google.
  • Deep research capabilities in chat models can automate and enhance complex analysis, such as comparing company data and generating reports based on multiple sources.

Timeline Analysis

Content Keywords

ChapT Updates

ChapT has rolled out over 1.1 updates per week this year, making it challenging to track the numerous changes and figure out which new features are worth utilizing.

Choosing the Right Model

Selecting the appropriate model is vital, with the latest O number reasoning model being the recommended choice to avoid unnecessary complexities and baggage.

Reasoning vs Basic Chat Models

Utilize reasoning models for complex queries requiring in-depth understanding, whereas basic chat models are suitable for quicker, low-stakes responses.

Example Queries

Specific examples demonstrate when to use a chat model (simple queries) versus a reasoning model (complex queries) to achieve optimal responses.

Chat GPT Features

A discussion on Chat GPT's web search capabilities highlights its limitations compared to traditional search methods, advocating for proper usage of either tool based on query type.

Deep Research Feature

Chat GPT's deep research feature allows for analysis and generation of reports via a wandering agent that can pull data from various links over time.

Canvas Feature

The canvas feature enables users to collaborate more effectively by editing responses, utilizing built-in shortcuts, and generating markdown documents efficiently.

Pro Tips for Text-to-Text Models

Three pro tips to enhance interaction with text-to-text models include using command phrases like 'elaborate', 'critique', and 'rewrite' for improved output.

Learning with Coursera

Promoting Coursera's AI courses as a learning resource, highlighting the importance of continuous education and the unlocking of powerful use cases through advanced training.

Related questions&answers

What is ChapT and how often are updates released?

ChapT has rolled out over 1.1 updates per week this year.

How can I keep track of new features from ChapT?

It's hard enough keeping track of all these changes, let alone figuring out which new features are worth your time.

What should I prioritize when selecting a model?

Most of us should default to the latest O number reasoning model with the cleanest name.

When should I use basic chat models versus reasoning models?

Use basic chat models for low-stakes tasks requiring fast responses, and reasoning models when the query is important or hard, and you're willing to wait a little bit for a better answer.

How do I get the best results from reasoning models?

Use delimiters to separate information, avoid telling them to think step by step, and only add examples if you're getting wrong results.

What is Chat GBT's web search feature used for?

Use Chat GBT's web search feature when you need a fact with a quick explainer, but for single facts, it's better to go with Google.

When should I toggle on the canvas feature?

Toggle this on if you know you're going to edit and build upon ChatBT's response more than once.

What are some effective commands for text-to-text models?

Use 'elaborate' to add detail, 'critique' to spot problems, and 'rewrite' to improve previous content.

How can I use deep research with Chat GBT?

You can ask ChachiBT to analyze and compare topics based on the latest earnings reports or other data.

What is the special summer offer from Coursera?

Coursera is offering 40% off their annual subscription until July 21st.

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