Is AGI already here or something is missing?

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Explore the capabilities of current AI systems and their potential to surpass human intelligence in specific domains, considering the examples of Jacobin Conjecture and OpenAI's research

intermediate Published 8 Aug 2026

Action Steps

Read OpenAI's paper on the Jacobin Conjecture to understand the approach used
Apply the concept of Chain of Thoughts to a problem-solving task to see its effectiveness
Use reinforcement learning to train an AI model on a complex task and evaluate its performance
Compare the results of AI-driven problem-solving with human-driven approaches
Analyze the limitations and potential biases of current AI systems to determine their reliability

Who Needs to Know This

AI researchers, software engineers, and data scientists can benefit from understanding the current state of AI capabilities and its potential to outperform humans in specific tasks, such as problem-solving and processing large amounts of data

Key Insight

💡 Current AI systems can excel in specific domains, such as problem-solving and data processing, but their capabilities are still limited and narrow compared to human intelligence

Key Takeaways

Explore the capabilities of current AI systems and their potential to surpass human intelligence in specific domains, considering the examples of Jacobin Conjecture and OpenAI's research

Full Article

Lately I got to know abt Jacobin Conjecture's counterexample (3D) and Openai's paper, If no human/s couldn't solve it till now can i conclude that AI is better than a human? I get that this is a narrow field of view, but looking at programming and other stuff makes me wonder about this question. For Jacobin Conjecture, it used the Chain of thoughts, reinforcement learning etc Basically AI today did what it's good at, processing tremendous amounts

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