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

Summary

OpenAI's recent release of GPT-5, or '01', has sent shockwaves through the tech community. This new model, not to be confused with AGI, showcases significant advancements in reasoning, particularly in math, coding, and complex problem-solving. While it's not the AI revolution some anticipated, '01' does offer a glimpse into the future with its deep thinking capabilities. The video explores '01's potential impact on software engineering and the hype surrounding AI's ability to replace human programmers, all while questioning the true capabilities and the marketing behind this latest AI development.

Takeaways

• 🚀 OpenAI has released a new AI model named '01', which is a significant advancement in deep thinking and reasoning models.
• 🧮 '01' has shown remarkable improvements in math, coding, and PhD-level science benchmarks, outperforming its predecessor, GPT-4.
• 🏅 In coding competitions, '01' demonstrated a substantial increase in problem-solving capabilities, achieving gold medal standards with more submissions allowed.
• 🤖 The collaboration between OpenAI and Cognition Labs indicates a push towards replacing programmers with AI, as '01' solved 75% of problems compared to GPT-4's 25%.
• 🔒 While '01' is a leap forward, it 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, hinting at a potential premium plan for full access.
• 🤝 '01' uses reinforcement learning to produce a 'chain of thought' before providing answers, a method that requires more computational resources.
• 💡 The 'chain of thought' process is not visible to end-users but is a key feature that helps refine the model's responses and reduce errors.
• 📈 Google has been using similar reinforcement learning techniques with AlphaProof and AlphaCoder, but '01' is the first such model available to the public.
• 🚧 Despite the potential, '01' is not without flaws, as demonstrated by buggy outputs and the need for further refinement in its reasoning capabilities.

Q & A

What did the speaker initially believe about the AI industry?

The speaker initially believed that the AI industry had plateaued, the bubble was about to burst, and the hype train was derailing, thinking their software engineering job might be safe from AI advancements.

What is the significance of the AI model named '01' released by OpenAI?

The AI model '01' is significant because it represents a new paradigm of deep thinking or reasoning models that have surpassed all previous benchmarks in math, coding, and PhD-level science.

What is the difference between '01' and previous AI models like GPT-4?

'01' differs from previous models like GPT-4 by achieving massive gains in accuracy, particularly in PhD-level physics, multitask language understanding benchmarks, and coding abilities, as demonstrated by its performance in the International Olympiad and informatics.

What is the collaboration between OpenAI and Cognition Labs, as mentioned in the script?

OpenAI has been secretly working with Cognition Labs, a company aiming to replace programmers with an AI model named Devon. The collaboration has shown significant improvements in problem-solving capabilities when using '01' compared to GPT-4.

How does the '01' model's approach to problem-solving differ from previous models?

The '01' model uses reinforcement learning to perform complex reasoning, producing a chain of thought before presenting the answer to the user, which allows it to refine its steps and backtrack when necessary.

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 public, while '01 regular' is still restricted. The '01 regular' model is hinted to be available through a potential $2,000 Premium Plus plan.

What is a 'reasoning token' in the context of the '01' model?

A 'reasoning token' in the context of the '01' model refers to outputs that help the model refine its step and backtrack when necessary, allowing it to produce complex solutions with fewer errors.

How does the '01' model handle coding tasks, as exemplified in the script?

The '01' model handles coding tasks by going through a chain of thought, assessing compliance, and considering constraints before providing a response. It can compile code more accurately compared to GPT-4 and follow game requirements closely.

What is the speaker's opinion on the overall capabilities of the '01' model?

The speaker believes that while the '01' model shows potential, particularly with its chain of thought approach, it is not fundamentally game-changing and is not truly intelligent, suggesting that it is overhyped.

What is the speaker's analogy to describe the potential impact of AI on software engineering jobs?

The speaker uses the analogy of a horse influencer in 1910 telling horses that cars won't take their jobs, implying that the impact of AI on software engineering jobs might be underestimated.