OpenAI’s new “deep-thinking” o1 model crushes coding benchmarks

Fireship
13 Sept 202405:47

TLDROpenAI has unveiled a new AI model, 01, which has made significant strides in coding benchmarks, outperforming its predecessor GPT-4. The model, which employs reinforcement learning for complex reasoning, has shown impressive results in tasks such as the International Olympiad in Informatics. While it's not AGI and has limitations, 01's 'deep-thinking' approach holds potential for the future of AI, though it may be overstated. The model's ability to produce reasoning tokens and refine its thought process could revolutionize problem-solving, but it's not without its bugs and challenges.

Takeaways

  • 😲 OpenAI released a new AI model named '01', which is a significant leap in deep thinking and reasoning models.
  • 📈 The '01' model has shown massive improvements in accuracy, especially in PhD-level physics, math, and formal logic.
  • 🏅 In coding abilities, '01' achieved a remarkable jump from the 11th percentile to the 93rd percentile on the CodeForces platform.
  • 🤖 The model is not yet at the level of Artificial General Intelligence (AGI) and is not referred to as GPT-5.
  • 🔒 OpenAI has kept many details about '01' confidential, maintaining a level of secrecy around its inner workings.
  • 💡 '01' uses reinforcement learning to perform complex reasoning, producing a 'chain of thought' before providing answers.
  • 💸 The model's advanced capabilities come at a cost, requiring more time, computing power, and money to operate.
  • 🚀 Despite not being a sentient life form, '01' mimics human thought processes to refine its steps and backtrack when necessary.
  • 🛠️ OpenAI provided examples of '01' creating a playable snake game and solving a nonogram puzzle, showcasing its problem-solving abilities.
  • 🤔 While '01' has potential, it is not without limitations, as seen in its struggles with certain tasks and the potential for overstatement of its capabilities.
  • 🔮 The '01' model represents a significant step forward in AI, but it is not a fundamental gamechanger and is more of an evolution of previous models like GPT-4.

Q & A

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

    -OpenAI's new model '01' is significant because it represents a new paradigm of deep thinking or reasoning models that have shown massive gains in accuracy on tasks involving math, coding, and PhD-level science, surpassing previous benchmarks.

  • How does the '01' model differ from previous models like GPT-4?

    -The '01' model differs from GPT-4 by achieving higher accuracy in complex tasks, especially in coding benchmarks. It also uses reinforcement learning to perform complex reasoning, producing a chain of thought before presenting answers, which is a new approach compared to previous models.

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

    -The 'Chain of Thought' approach refers to the model's process of generating a series of thoughts or reasoning tokens when presented with a problem, which helps refine its steps and backtrack when necessary, leading to more complex and accurate solutions.

  • What are the three new models released by OpenAI, and what is the difference between them?

    -OpenAI released three new models: '01 mini', '01 preview', and '01 regular'. '01 mini' and '01 preview' are accessible to the general public, while '01 regular' is restricted and may be offered through a premium plan. These models vary in their capabilities and access levels.

  • How did the '01' model perform on the international Olympiad and informatics compared to GPT-4?

    -The '01' model showed a significant improvement over GPT-4 in the international Olympiad and informatics. While GPT-4 was in the 49th percentile with 50 submissions per problem, '01' broke the gold medal submission standard when allowed 10,000 submissions.

  • What is the relationship between OpenAI and Cognition Labs as mentioned in the script?

    -OpenAI has been secretly working with Cognition Labs, a company that aims to replace programmers with AI models. The script mentions that while using GPT-4, only 25% of problems were solved, but with '01', the success rate increased to 75%.

  • What is the controversy surrounding the '01' model's benchmarks and capabilities?

    -The controversy is that while the '01' model shows impressive benchmarks, there are doubts about the authenticity and accuracy of these results, as they come from a company that may be motivated to raise more funding. The true capabilities of the model are yet to be independently verified.

  • How does the '01' model handle coding tasks, and is it truly intelligent?

    -The '01' model handles coding tasks by going through a 'Chain of Thought' process, which involves assessing compliance and generating reasoning tokens. However, despite this approach, the model is not truly intelligent but rather an advanced tool that can produce code with fewer errors.

  • What is the potential of the 'Chain of Thought' approach in AI models?

    -The potential of the 'Chain of Thought' approach lies in its ability to produce more comprehensive and accurate results by refining the model's steps and allowing for backtracking. This method could lead to significant advancements in AI's problem-solving capabilities.

  • What is the current status of the '01' model in terms of public availability and access?

    -As of the information provided, the '01 mini' and '01 preview' models are available to the public, while the '01 regular' model is still restricted. There are hints at a premium plan for accessing the full capabilities of the '01' model.

Outlines

00:00

🤖 AI's New Frontier: OpenAI's 01 Model

The paragraph discusses the skepticism and subsequent surprise at the release of OpenAI's new model, 01, which surpasses previous AI models in math, coding, and advanced science. It is not an Artificial General Intelligence (AGI) but has shown significant improvements, particularly in coding abilities. The model's performance is put into context with its predecessor, GPT-4, and its collaboration with Cognition Labs, which aims to replace programmers with AI. The video suggests that while 01 is a leap forward, it is not yet capable of replacing human programmers and questions the reliability of its internal benchmarks.

05:02

🔍 Debunking Hype: A Closer Look at 01's Capabilities

This paragraph delves into the practical testing of 01's capabilities by comparing it with GPT-4 on a specific coding task. While GPT-4 struggled, 01 demonstrated a more structured approach to problem-solving, utilizing a 'Chain of Thought' mechanism that allows for complex reasoning. However, despite initial promise, the paragraph highlights that the model still produces bugs and hallucinations, suggesting it is not truly intelligent. The conclusion is that 01, while an impressive tool, is not a fundamental game-changer and should be viewed with a critical eye regarding its capabilities and potential overstatements.

Mindmap

Keywords

💡Deep-thinking model

A 'deep-thinking model' refers to an advanced artificial intelligence model that can perform complex reasoning tasks. In the context of the video, OpenAI's new model, 01, is described as a 'deep-thinking' model because it demonstrates significant improvements in tasks requiring logical reasoning, such as math problems and coding challenges. The video suggests that this model represents a new paradigm in AI, moving beyond simple pattern recognition to more human-like problem-solving.

💡Benchmarks

Benchmarks are standardized tests or measurements used to evaluate the performance of a system, in this case, AI models. The video discusses how the 01 model 'crushed' previous benchmarks, particularly in areas like PhD-level physics, math, and coding. This indicates that the model has achieved a higher level of accuracy and capability compared to its predecessors, setting a new standard for AI performance.

💡Generative Pre-trained Transformer (GPT)

GPT stands for Generative Pre-trained Transformer, which is a type of deep learning architecture used by AI models to generate human-like text. The video mentions GPT in relation to OpenAI's models, with 01 being the latest iteration. GPT models are trained on large datasets and can generate new content based on the patterns they've learned, which is why they are used in tasks like language translation, text summarization, and now, more advanced reasoning tasks.

💡Reinforcement Learning

Reinforcement Learning is a type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize some notion of cumulative reward. In the video, it is mentioned that the 01 model uses reinforcement learning to perform complex reasoning. This means that the model learns from its mistakes and improves its decision-making process over time, which is crucial for tasks that require logical thinking and problem-solving.

💡Coding ability

Coding ability refers to the skill of writing computer programs. The video highlights the 01 model's impressive coding ability, particularly its performance at the International Olympiad and Informatics. The model's ability to generate code that solves complex problems is a significant advancement, as it demonstrates the AI's capacity to understand and apply programming concepts effectively.

💡Cognition Labs

Cognition Labs is mentioned in the video as a company that is working with AI models to potentially replace programmers. This suggests a future where AI could automate certain aspects of software development, which could have significant implications for the field of programming and the job market.

💡Chain of Thought

The 'Chain of Thought' is a concept introduced in the video to describe the process by which the 01 model thinks through a problem before providing a solution. This involves the AI generating a series of logical steps or 'reasoning tokens' that lead to the final answer. The Chain of Thought is meant to mimic human problem-solving, where one considers various aspects of a problem before arriving at a conclusion.

💡Reasoning Tokens

Reasoning tokens are the outputs generated by the AI model during its 'Chain of Thought' process. These tokens represent the intermediate steps the model takes to refine its solution and backtrack when necessary. The video suggests that the use of reasoning tokens allows the 01 model to produce more accurate and complex solutions with fewer errors, which is a significant advancement in AI reasoning capabilities.

💡Hallucinations

In the context of AI, 'hallucinations' refer to the model's tendency to generate incorrect or nonsensical outputs. The video discusses how the 01 model, through its Chain of Thought approach, produces fewer 'hallucinations' compared to previous models. This indicates an improvement in the model's ability to generate reliable and accurate responses.

💡Nonogram Puzzle

A nonogram puzzle, also known as a griddler or picross, is a type of logic puzzle where cells in a grid are colored or left blank according to numbers at the side of the grid to reveal a hidden picture. The video uses the creation of a nonogram puzzle by the 01 model as an example of its advanced problem-solving capabilities, showcasing the model's ability to understand and apply logic to create solutions.

Highlights

OpenAI releases a new state-of-the-art model named O1, marking a new paradigm in deep thinking and reasoning models.

O1 achieves significant improvements in accuracy, particularly in PhD-level physics and multitask language understanding benchmarks.

In coding ability, O1 shows a dramatic increase in performance at the International Olympiad and Informatics.

O1's code performance on CodeForces improved from the 11th percentile to the 93rd percentile compared to GPT-4.

OpenAI has been working with Cognition Labs, aiming to replace programmers with AI.

O1 is not ASI, AGI, nor is it advanced enough to be called GPT-5.

OpenAI's approach to openness involves keeping the interesting details of O1 closed off.

O1 relies on reinforcement learning to perform complex reasoning, producing a chain of thought before presenting answers.

The reasoning tokens produced by O1 help refine its steps and backtrack when necessary.

O1's response requires more time, computing power, and money due to its complex reasoning process.

Examples of O1's capabilities include creating a playable snake game in a single shot.

O1 can reliably tell you how many 'S's are in the word 'strawberry', a question that has baffled LLMs in the past.

Google has been using reinforcement learning with Alpha Proof and Alpha Coder for dominating math and coding competitions.

O1 is the first model of its kind to become generally available to the public.

O1's chain of thought approach shows potential but also the potential to overstate its capabilities.

In a test, O1 was able to compile a game right away and followed the game requirements closely.

Despite initial promise, O1's game creation was found to be buggy and the UI was poor.

O1 is not fundamentally game-changing but offers a new approach to AI problem-solving.

The video concludes by suggesting that O1 is just another AI tool, not a harbinger of job loss for programmers.

Casual Browsing

Llama 3.1-405B Model LEAKED! New Benchmarks Hint at GPT-4o Takedown?

2024-07-27 20:18:00

NEW OpenAI GPT-o1 is Absolutely INSANE…

2024-09-14 16:53:00

NEW Photorealism Model

2024-04-06 12:40:01

5 MINUTES AGO: OpenAI Just Released GPT-o1 the Most Powerful AI Model Yet

2024-09-18 22:35:00

Building OpenAI o1

2024-09-19 00:32:00