In this video, we dive deep into OpenAI's latest groundbreaking models: O3 and O3 Mini. These AI models have taken a massive leap in performance, reaching impressive results on benchmarks like ARC-AGI and software engineering tasks. But the big question remains — Is this the start of AGI?

We’ll explore their capabilities, including:
O3's Performance: Achieving a stunning 87% on ARC-AGI, demonstrating near-human-level performance in various domains. But is it enough to call it AGI?
O3 Mini's Cost Efficiency: A budget-friendly model designed for high-performance reasoning tasks, from math to coding.

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Key Features:
Adjustable Reasoning Effort: Choose from low, medium, or high modes depending on task complexity.
Self-Evaluation: O3 Mini can evaluate its own performance, showcasing a new level of adaptability.
Improved Latency: Faster response times for all reasoning modes compared to its predecessors.

We’ll break down all the testing results, including its Elo score of 2727 in competitive coding and 71.7% accuracy on the software engineering benchmark. Is it really better than 99.95% of programmers?

We also discuss what this means for the future of AI, the ongoing search for AGI, and whether these models are truly close to human-level reasoning. Can OpenAI's new models change the AI landscape forever?

💬 Join the Discussion: Do you think O3 is a step toward AGI? Let us know your thoughts in the comments below!

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