GPT-o1: The Best Model I've Ever Tested ? I Need New Tests!

Introduction

I'm absolutely thrilled to share my recent experiences with OpenAI's latest model, GPT-01, which has surpassed all my expectations. It’s fascinating to see how the model has incorporated my previous queries, including a quirky marble question that I once posted on the OpenAI website. Instead of “marble,” they switched it to “strawberry” for their announcement, showing how connected we are in this AI exploration!

Initial Impressions: A Leap Forward

The introduction of GPT-01 has made me realize that not only am I impressed by its capabilities, but there’s also a chance OpenAI employees have been following my work—thank you for tuning in! Now that I have access to the preview of this model, I'm eager to put it to the test, especially against my carefully designed rubric for evaluating AI responses.

The first task I assigned to GPT-01 was to write a game of Tetris in Python. In previous model iterations, the response time was prolonged, but notedly, GPT-01 demonstrated efficiency by thinking for just 35 seconds before outputting the code. Remarkably, the code was flawless right off the bat! This game is fully functional and displays the next shape—amazing!

Envelope Size Analysis

Next, I asked about postal office size restrictions for envelopes, presenting specific minimum and maximum dimensions. GPT-01 not only understood the rotation of envelopes but seamlessly confirmed whether the specified envelope fit the criteria. The model's ability to think through this problem was impressive.

Word Count and Comprehension

Following that, I posed a straightforward query regarding the word count of my prompt. It accurately deduced that the response contained five words after only 14 seconds of thought, showcasing its impressive grasp of comprehension.

The Dilemma of the Killers

Then came a brainteaser involving three killers in a room. While some models have struggled with this, GPT-01 carefully analyzed the scenario. It arrived at the conclusion that there are indeed three killers remaining—two alive and one that is deceased but still counted as a killer. This nuance in reasoning was refreshing to see.

The Classic Marble Inquiry

Returning to my marble question—initially in glass, turned upside down, and placed in a microwave—GPT-01 successfully reasoned that the marble would rest on the table rather than inside the cup. Its thought process walked the line of gravity and careful handling, showcasing the model’s sophisticated understanding.

The North Pole Conundrum

Next up was the North Pole scenario, famously tricky for AI models. Although GPT-01 began well by mapping out the route, it reached an incorrect conclusion about returning to the starting point. This highlighted a room for improvement, consistent with previous models.

Creative Writing: Sentences Ending in “Apple”

On a lighter note, I tasked GPT-01 to produce ten sentences ending in the word “apple.” It completed this effortlessly, confirming its adeptness in generating language.

Counting Letters in “Strawberry”

Another straightforward test involved counting the letter 'R' in “strawberry.” The model accurately identified there are three 'R's, once again showing that it could handle simple tasks with precision.

Decimal Comparison and Ethics

In more analytical tasks, GPT-01 easily deduced that 9.9 is greater than 9.11, clearing what should be a minimal test. Furthermore, when asking a moral question about gently pushing a random person to save humanity, GPT-01 provided a nuanced response. It considered various ethical frameworks before concluding that it may be acceptable.

Mathematical Challenge

Finally, when presented with a complex mathematical formula regarding the radius of a sphere, the model performed efficiently, arriving at the answer 721. Even on the classic chicken or egg debate, it discerned that the egg came first according to evolutionary history.

Conclusion

In summary, GPT-01 has proven itself as the best model I've ever tested. It performed remarkably well across most queries, with a notable exception regarding the North Pole riddle. This model paves the way for the next generation of AI capabilities, and I'm already brainstorming new and tougher challenges for GPT-01 to tackle.

If you enjoyed this deep dive into GPT-01's capabilities, please consider liking and subscribing! Let’s continue exploring the vast potential of AI together.

Keywords

• GPT-01
• OpenAI
• Tetris Game
• Envelope Size
• Word Count
• Moral Dilemma
• North Pole
• Strawberry Count
• Mathematical Challenges
• AI Testing

FAQ

Q1: What makes GPT-01 different from earlier models? A1: GPT-01 showcases significantly improved reasoning capabilities, quick thinking, and enhanced understanding of nuanced questions.

Q2: Did GPT-01 pass all the tests? A2: While GPT-01 performed exceptionally well overall, it struggled with the North Pole conundrum, which remains a challenging question for AI models.

Q3: Can GPT-01 handle creative tasks? A3: Yes, it successfully generated creative sentences and can engage in various linguistic challenges.

Q4: How quickly can GPT-01 process tasks? A4: Processing times vary, but for the Tetris game, it required only 35 seconds of thinking before generating the complete code.

Q5: What future tests do you plan to give GPT-01? A5: I'm considering more intricate reasoning scenarios to further evaluate the model's cognitive abilities beyond its current test suite.