OpenAI’s new “deep-thinking” o1 model crushes coding benchmarks
TLDROpenAI's new model, 01, has surpassed previous benchmarks in coding and complex reasoning tasks. While it's not AGI, it demonstrates significant improvements in coding abilities and problem-solving. The model uses reinforcement learning to produce a 'chain of thought' before providing answers, which could potentially revolutionize AI's approach to problem-solving. However, there are doubts about its practicality and whether it's overhyped by a company looking to raise funds.
Takeaways
- 😱 OpenAI has released a new AI model named '01', which is a significant leap in deep-thinking and reasoning capabilities.
- 🧠 '01' is not just another AI model; it's designed to handle complex tasks such as PhD-level physics and advanced coding problems.
- 🏆 '01' achieved remarkable results in the International Olympiad and Informatics, improving its code solving ability drastically.
- 🤖 The model's coding ability was tested with the CodeForces ELO rating, where it jumped from the 11th percentile to the 93rd percentile.
- 🤝 OpenAI has been working with Cognition Labs, aiming to enhance the model's ability to solve programming problems.
- 🔒 While '01' is a breakthrough, OpenAI has kept many of its operational details confidential.
- 💡 '01' uses reinforcement learning to produce a 'chain of thought' before providing answers, which helps in refining its responses.
- 💸 The model's advanced capabilities come at a cost, with OpenAI hinting at a premium plan for full access.
- 🚀 Despite its impressive capabilities, '01' is not yet at the level of Artificial General Intelligence (AGI) and is not a sentient being.
- 🔍 The video explores whether '01' can live up to its hype by testing it with a complex coding task, revealing both its strengths and limitations.
Q & A
What is the significance of the '01' model released by OpenAI?
-The '01' model is a state-of-the-art AI model that represents a new paradigm of deep thinking or reasoning models. It has shown significant improvements over previous models in tasks involving math, coding, and PhD-level science, setting new benchmarks.
How does the '01' model's performance compare to GPT-4 in coding tasks?
-In coding tasks, the '01' model showed a remarkable improvement over GPT-4. At the International Olympiad and Informatics, it went from the 49th percentile to achieving a gold medal submission when allowed 10,000 submissions per problem.
What is the role of Cognition Labs in the development of the '01' model?
-Cognition Labs has been secretly working with OpenAI to improve the '01' model's performance. They have been testing the model's ability to solve programming problems, with '01' showing a significant increase in problem-solving capabilities compared to GPT-4.
What is the 'Chain of Thought' approach mentioned in the script?
-The 'Chain of Thought' approach refers to the model's ability to produce a series of thoughts or reasoning tokens before presenting a final answer. This method allows the model to refine its steps and backtrack when necessary, leading to more accurate and complex solutions.
How does the '01' model's performance compare to Google's AlphaProof and AlphaCoder?
-While Google's AlphaProof and AlphaCoder have been dominating math and coding competitions using reinforcement learning, the '01' model is the first of its kind to become generally available to the public, offering a similar approach to complex reasoning.
What are the limitations of the '01' model as discussed in the script?
-Despite its impressive capabilities, the '01' model is not truly intelligent and has limitations. It can produce buggy code and hallucinations, and its Chain of Thought is not always visible to the end user, indicating that it is not a fundamentally game-changing AI tool.
What is the '01' model's ELO rating on CodeForces compared to GPT-4?
-The '01' model's ELO rating on CodeForces has significantly improved, going from the 11th percentile with GPT-4 to the 93rd percentile.
What are the three new models released by OpenAI, and which ones are accessible to the public?
-OpenAI released three new models: '01 mini', '01 preview', and '01 regular'. The public only has access to '01 mini' and '01 preview', while '01 regular' is still restricted.
How does the '01' model's approach to problem-solving differ from previous models?
-The '01' model uses reinforcement learning to perform complex reasoning, which involves producing a chain of thought before presenting an answer. This is a departure from previous models that did not showcase this level of detailed reasoning process.
What is the cost associated with using the '01' model's reasoning tokens?
-The cost for using the '01' model's reasoning tokens is $60 per 1 million tokens.
Outlines
🤖 Introduction to GPT-5 and AI's Impact on Software Engineering
The speaker begins by expressing initial skepticism about AI's impact on software engineering, fearing the bubble would burst. However, OpenAI's release of a groundbreaking model named GPT-5, which excels in complex reasoning, math, coding, and advanced science, proves them wrong. Despite not being ASI or AGI, GPT-5 significantly surpasses GPT-4 in benchmarks. The video aims to explore how GPT-5 operates and its implications for humanity. GPT-5's capabilities are showcased through its performance in coding competitions and its collaboration with Cognition Labs, hinting at a future where AI might replace programmers. The speaker also touches on OpenAI's business strategies, including the release of different models and potential premium plans.
🔍 Deep Dive into GPT-5's 'Chain of Thought' and Its Limitations
The second paragraph delves into the 'Chain of Thought' approach of GPT-5, which uses reinforcement learning to produce a series of thoughts before providing an answer. This method allows for more complex solutions but requires more time and resources. The speaker critiques GPT-5's performance in coding tasks, noting that while it compiles and runs initially, it produces buggy and flawed outputs. Attempts to fix these issues through follow-up prompts only exacerbate the problems, suggesting that GPT-5 is not truly intelligent. The speaker concludes by downplaying the revolutionary nature of GPT-5, comparing it to GPT-4 with added recursive prompting capabilities. They also humorously compare themselves to a horse influencer in 1910, suggesting that AI's impact on jobs is inevitable.
Mindmap
Keywords
💡deep-thinking
💡01 model
💡benchmarks
💡reinforcement learning
💡reasoning tokens
💡coding ability
💡Chain of Thought
💡hallucinations
💡AGI
💡GPT-4
Highlights
OpenAI releases a new model named 01, a state-of-the-art model that significantly outperforms previous benchmarks in math, coding, and PhD-level science.
01 is not just another basic GPT; it represents a new paradigm of deep thinking or reasoning models.
Despite advancements, 01 is not considered ASI, AGI, or even GPT 5, indicating it's not a sentient life form.
OpenAI's commitment to openness contrasts with keeping the model's interesting details closed off.
The model's performance in coding is particularly impressive, achieving a massive leap in the international Olympiad and informatics.
01's coding ability was tested on CodeForces, where it showed a significant improvement from the 11th percentile to the 93rd percentile.
OpenAI has been working with Cognition Labs, a company aiming to replace programmers with AI.
The model's deep thinking approach involves producing a chain of thought before presenting the answer.
Reasoning tokens are outputs that help the model refine its steps and backtrack when necessary.
The deep thinking model requires more time, computing power, and money for its complex reasoning capabilities.
OpenAI has released examples of the model's capabilities, such as creating a playable snake game in a single shot.
The model's chain of thought is hidden from the end user, and the reasoning tokens come at a cost.
Google has been dominating math and coding competitions with Alpha Proof and Alpha Coder, using similar reinforcement learning techniques.
The model's approach to coding is showcased through a recreated game, demonstrating its ability to follow game requirements closely.
Despite the model's potential, it is not without flaws, as evidenced by bugs and infinite loops in the recreated game.
The video concludes by suggesting that while 01 is a significant advancement, it is not a fundamentally game-changing AI tool.
The host humorously compares the AI's impact to a horse influencer in 1910, suggesting that the true potential of AI is yet to be seen.