OpenAI Releases Smartest AI Ever & How To Use It

The AI Advantage
12 Sept 202421:15

TLDROpenAI has introduced a new AI model named '01', designed for advanced reasoning capabilities. Accessible to ChatGPT Plus and Teams users, it has limitations on message usage per week. The model excels in tasks related to science, math, and coding, offering a significant leap in performance over previous models. It processes requests differently, taking longer to generate responses due to its multi-step reasoning approach. While it currently lacks tools like code interpreter and web browsing, these are expected to be added in the future, enhancing its utility for everyday tasks beyond specialized fields.

Takeaways

  • 😲 OpenAI has released a new AI model named '01', marking a significant advancement in AI reasoning capabilities.
  • 🔐 Access to '01' is currently limited to ChatGPT Plus and Teams users, with a restriction of 30 messages per week for '01 preview' and 50 messages per week for '01 mini'.
  • 💼 The API access for '01' is exclusive to users who have spent $1,000 or more, placing them in the tier five category with OpenAI.
  • 🤔 The new model is designed to 'reason', which is likened to human thinking that extends beyond immediate responses, indicating a more thoughtful and considered approach to tasks.
  • 📈 Reasoning tasks that '01' excels in include those related to science, math, and coding, suggesting it's particularly useful for complex problem-solving in these domains.
  • 📊 In a comparison, '01' demonstrated a significant leap in performance over previous models, scoring 83% on a qualifying exam for the International Mathematics Olympiad, compared to GPT-4's 13%.
  • 📝 For non-scientific or mathematical tasks, '01' may not offer as much improvement, but it could still be beneficial for tasks requiring multi-step thinking or planning.
  • 💬 The model's approach to translation tasks shows promise, with the ability to handle complex phrases and idiomatic expressions more effectively than previous models.
  • 💡 Prompting tips for using '01' effectively include keeping prompts concise and goal-oriented, rather than providing excessive detail or instructing the model to 'think step by step'.
  • 🛠️ Currently, '01' lacks certain tools like code interpreter, web browsing, and image generation, but these are expected to be integrated in the future, enhancing its capabilities.

Q & A

  • What is the significance of OpenAI's new model titled '01'?

    -OpenAI's new model '01' is significant because it specializes in reasoning, meaning it can think about a task for more than a few seconds before providing an answer, which is a departure from previous models like GPT-4.

  • Who has access to the '01' model and what are the limitations?

    -Access to '01' is available to all ChatGPT Plus and Teams users. However, there are limitations: '01 preview' allows 30 messages per week, '01 mini' allows 50 messages per week, and API access is unlimited but only for users who have spent $1,000 or more, placing them in the tier five category with OpenAI.

  • How does the '01' model differ from previous models in terms of task performance?

    -The '01' model is designed to excel in reasoning-related tasks, particularly in the domains of science, math, and coding. It takes a different approach by spending time thinking about the answer before providing it, unlike previous models that would execute tasks more quickly without this additional reasoning step.

  • What is the 'Chain of Thought' technique mentioned in the script?

    -The 'Chain of Thought' technique is a method of prompting AI models to include more reasoning and thinking in their responses. By instructing the model to 'think step by step,' users can get improved results on reasoning-related tasks.

  • How does the '01' model perform on tasks that require advanced reasoning?

    -The '01' model shows significant improvement on tasks requiring advanced reasoning. It is claimed to perform at a PhD level in mathematics and has shown impressive results in benchmarks, such as solving 83% of problems in a qualifying exam for the International Mathematics Olympiad, compared to GPT-4's 13%.

  • What are some everyday applications of the '01' model beyond science, math, and coding?

    -While the '01' model is specialized in science, math, and coding, it can also be useful for everyday tasks that require complex thinking or financial calculations. For example, it can help create business plans, marketing strategies, or even assist in translation tasks that involve understanding context and idiomatic expressions.

  • How does the '01' model handle translation tasks compared to GPT-4?

    -The '01' model demonstrates a more nuanced approach to translation tasks, considering idiomatic expressions and context. It can provide more accurate and concise translations, as shown in the example where it translated a complex German phrase into English more effectively than GPT-4.

  • What are some prompting tips for getting the best results from the '01' model?

    -For optimal results with the '01' model, keep prompts short and goal-oriented. Avoid instructing the model to 'think step by step' as it is already designed to reason through tasks. Additionally, less is more with this model; overly detailed prompts can lead to worse performance.

  • Does the '01' model currently have access to tools like code interpreter, web browsing, or image generation?

    -As of the information provided, the '01' model does not currently have access to tools such as a code interpreter, web browsing, image generation, or image upload. However, these features are on the roadmap for future implementation.

  • What is the future direction for AI models like '01' in terms of tool usage and decision-making?

    -The future direction for AI models like '01' includes the ability to automatically select the appropriate tools and models for a given task without user intervention. The model will have a full understanding of the tools available and will make decisions on the best course of action to achieve the user's goal.

Outlines

00:00

🆕 Introduction to OpenAI's New Reasoning Model

The paragraph introduces OpenAI's new model named '01', which is designed to specialize in reasoning. It explains that reasoning, in this context, means thinking about something for more than a few seconds before responding. The model is available to ChatGPT Plus and Teams users with certain limitations on usage. It is noted that while the API access is unlimited, it is only available to users who have spent $1,000 or more, placing them in the tier five category with OpenAI. The paragraph also touches on the concept of 'Chain of Thought' prompting, which is a technique that improves reasoning-related tasks by including more steps of thinking in the prompt.

05:01

🧠 Exploring Reasoning Capabilities and Usage Limitations

This paragraph delves into the reasoning capabilities of the new model, contrasting it with previous models like GPT-4. It discusses how the new model takes a different approach by 'thinking' before providing answers, especially useful for tasks in science, math, and coding. The paragraph also mentions that while the new model is not a magic bullet for all tasks, it shows significant improvement in certain areas, such as solving problems that require multi-step reasoning. The limitations of the model's access and the differences in response times between the new model and GPT-4 are highlighted, emphasizing the model's potential for more thoughtful and accurate responses.

10:02

📈 Analyzing Performance in Reasoning Tasks

The paragraph discusses the model's performance in reasoning tasks, particularly in the domains of science, math, and coding. It presents a comparison graph showing the significant improvement of the new model over GPT-4 in solving problems, with a specific mention of its performance in an International Mathematics Olympiad qualifying exam. The paragraph also explores the model's potential beyond its advertised domains, suggesting that its advanced reasoning capabilities could be beneficial in various everyday tasks that require thoughtful consideration.

15:05

💭 The Impact of Advanced Reasoning on User Interaction

This paragraph examines how the new model's advanced reasoning capabilities change user interaction. It compares the immediate response nature of GPT-4 with the more thoughtful, multi-step approach of the new model. The paragraph uses examples, such as creating a business plan and generating palindromes, to illustrate the model's ability to think through problems and provide more accurate and contextually relevant answers. It also discusses the implications of these changes for users, suggesting that the model's capabilities could lead to more efficient and effective use in real-world scenarios.

20:05

🔍 Future Enhancements and Practical Applications

The final paragraph speculates on the future enhancements of the model, including the integration of tools like code interpreter, web browsing, and image generation. It also discusses the practical applications of the model, emphasizing the need for users to understand when to use the new model versus other models for optimal results. The paragraph concludes with a call to action for users to explore the model's capabilities further and to stay updated on the latest developments through channels like OpenAI's official channel.

Mindmap

Keywords

💡Reasoning

Reasoning refers to the cognitive process of making logical conclusions or inferences from premises or evidence. In the context of the video, it is a key capability of the new AI model '01' released by OpenAI, which sets it apart from previous models like GPT-4. The video explains that this model 'thinks' before giving an answer, especially useful for tasks requiring deep thought such as science, math, and coding. For instance, the video mentions that the new model would 'think step by step' to create a palindrome, showcasing its reasoning ability.

💡Chain of Thought

Chain of Thought is a technique in AI prompting that involves giving the model a series of logical steps to arrive at an answer. The video script describes this as a method that improves results on reasoning-related tasks. It's mentioned as a precursor to the new model's inherent reasoning capabilities, where the AI doesn't just generate an answer but simulates a thought process, similar to how a human would approach a complex problem.

💡API Access

API Access in the video refers to the ability to use the AI model '01' through an application programming interface, which allows developers to integrate the AI's capabilities into their own applications. The video notes that API access is currently limited to users who have spent $1,000 or more with OpenAI, indicating a tiered access model based on usage and financial commitment.

💡Science, Math, and Coding

These three domains are highlighted in the video as the areas where the new AI model '01' excels due to its advanced reasoning capabilities. The video provides examples of how the model can tackle complex problems in these fields, such as solving math problems at a PhD level or coding tasks. The script mentions that the model scored significantly higher on benchmarks related to these domains compared to previous models.

💡Thinking Step by Step

This phrase from the video script refers to the AI model's ability to break down complex tasks into a series of logical steps before providing an answer. It's a demonstration of the model's reasoning capability, where it mimics human thought processes. The video contrasts this with previous AI models that would generate answers more quickly but without this deliberate, step-wise approach.

💡Multi-Step Reasoning

Multi-Step Reasoning is a cognitive process where multiple logical steps are taken to solve a problem or reach a conclusion. The video emphasizes that the new AI model '01' is capable of this, which is a significant advancement over previous models. An example given is the model's approach to creating a business plan, where it takes time to 'think' and structure its response in a multi-step manner.

💡Business Plan

In the video, creating a business plan is used as an example of a task that requires multi-step reasoning. The AI model '01' is shown to take into account various factors such as marketing, finances, and research before generating a plan, demonstrating its ability to handle complex, real-world tasks that involve strategic thinking and planning.

💡Palindromic Sentences

A palindromic sentence is a sentence that reads the same forwards and backwards. The video uses the creation of a palindromic sentence as an example of a creative and complex task that requires the AI to 'think' and reason through multiple iterations to find a solution that makes sense contextually. This showcases the model's ability to handle tasks that are not just factual but also require creativity and linguistic dexterity.

💡Translation

Translation in the context of the video refers to the AI model's ability to convert text from one language to another while maintaining the meaning and context. The video provides an example of translating a complex German idiom into English, demonstrating the model's advanced language understanding and its capacity to handle nuances that are often lost in direct translations.

💡Optimal Level of Spend

This term from the video script relates to a follow-up prompt where the AI model is asked to determine the best budget for launching a brand. It illustrates the model's capability to analyze and provide strategic recommendations based on given goals, which is a practical application of its reasoning abilities in a business context.

Highlights

OpenAI has released a new AI model named 01, focusing on reasoning capabilities.

Reasoning is described as thinking about something for more than a few seconds.

The new model is available to ChatGPT Plus and Teams users with limitations on message usage.

API access is limited to users who have spent $1,000 or more with OpenAI.

The model is designed to perform better in reasoning-related tasks such as science, math, and coding.

The model's reasoning capabilities are showcased through the Chain of Thought technique.

GPT-4 scored 13% on an International Mathematics Olympiad qualifying exam, while the reasoning model scored 83%.

The model takes longer to process requests, indicating a deeper level of thinking before responding.

The model's approach to problem-solving is more akin to human thought processes, planning and reasoning in multiple steps.

The model's performance in translation tasks shows a nuanced understanding of language and context.

The model's ability to create palindromes demonstrates its advanced reasoning and creativity.

The model's financial calculations show surprising accuracy, even without specific prompting for detail.

The model's responses are more structured and provide a clear overview, which is useful for complex tasks.

The model is expected to improve in areas beyond science, math, and coding, based on early testing.

The model's approach to prompting is different, favoring shorter and simpler prompts based on goals.

The model is currently without tools like code interpreter, web browsing, or image generation, but these are on the roadmap.

The model represents a significant step towards AI that can autonomously select the best tools and models for a given task.