Welcome to an AI face-off like no other! In this video, we put two cutting-edge AI models—O1, the costliest AI model on the market, and Sonnet 3.5—to the test in a series of algorithmic puzzles and reasoning questions. Our goal? To see which AI can generate better Python-based algorithms and deliver solutions faster and more accurately.

What's in this Video?
We test both models across 5-6 challenging algorithmic questions, diving deep into their abilities to generate efficient and correct Python code. You might think O1 would easily surpass Sonnet 3.5 given its premium price, but the results may surprise you! Watch as Sonnet 3.5 not only keeps up but excels in certain areas, especially when it comes to speed.

Key Performance Metrics:
Speed: How quickly do both models generate working solutions?
Accuracy: Are their algorithms reliable and error-free?
Algorithm Design: Which model constructs more efficient and optimized code?
One of the unique features of O1 is its chain-of-thought reasoning, which should enhance its thinking and problem-solving abilities. But in this video, we explore how even Sonnet 3.5 can benefit from this reasoning technique, improving its accuracy dramatically when combined.

The Viewer Challenge!
While both AIs performed well on some tasks, there were puzzles that stumped both O1 and Sonnet 3.5. That's where YOU come in! We’re issuing a challenge to our viewers: can you solve the algorithmic puzzles that these powerful AIs couldn’t? Test your skills against AI and share your solutions in the comments!

Surprising Conclusion
The results might not be what you expect. While O1 is built for advanced thinking and uses more resources, Sonnet 3.5 delivered competitive, and in some cases superior, results in key areas. Is O1 worth the premium price, or does Sonnet 3.5 provide better value in AI-powered algorithm generation? Stick around for the conclusion where we break it all down!

Why You Should Watch:
Gain insights into the current state of AI model performance.
See real-world applications of AI models solving complex algorithmic challenges.
Learn how to approach tough coding problems using AI-generated Python code.
Participate in our challenge and show off your problem-solving abilities!

Timecodes:
0:00 - Intro and Recap
1:05 - AI Challenge
1:42 - Car Fuel Problem
5:38 - Engagement Puzzle
7:24 - City of Bridges problem
9:14 - Numeric Puzzle
11:04 - Penny Distribution Problem
14:21 - AI Model Development Problem
19:22 - Postage Stamp problem
19:43 - Locked Door Problem
19:48 - Results


Whether you’re into AI, algorithmic puzzles, or Python programming, this video will provide a fresh and exciting comparison between two leading AI models and their approach to solving real-world coding challenges.

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Don't miss out on the in-depth comparison and the chance to prove your skills where AI fell short! 👨‍💻👩‍💻


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