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

Summary

The video demonstrates the capabilities of OpenAI's new 01 model by testing it against various complex prompts, from creating a Tetris game in Python to answering logic puzzles and moral questions. The model excels in handling nuanced problems, outperforming previous versions. It passes most challenges with detailed thought processes, though it stumbles on a North Pole walking problem. The user appreciates how the model breaks down intricate questions and suggests that OpenAI employees may have drawn inspiration from their previous content. Overall, the video highlights the impressive advancements of the 01 model in AI reasoning and problem-solving.

Takeaways

• 😀 The speaker is excited that their marble question was featured on OpenAI's website in relation to the new '01' model, now named 'QStar'.
• 🤖 The 01 model performs better than previous models, showing faster thinking and more accurate outputs, especially in tasks like coding Tetris in Python.
• 🧠 The model processes complex questions efficiently, like checking if an envelope fits size restrictions by considering rotation, demonstrating advanced problem-solving skills.
• ✔️ It answers simple logical questions, such as counting the number of killers left in a room, while factoring in subtle nuances, such as the status of a dead killer.
• 🍓 A marble question was tested where the 01 model accurately reasons that the marble would remain on the table when the cup is lifted and placed in the microwave.
• 📏 The model struggles with a tricky geographical problem involving walking from the North Pole, confirming a known limitation.
• 📊 It accurately tackles math and logic challenges, such as word counting, comparing numbers, and solving mathematical formulas.
• 🌍 For moral dilemmas, like whether to push someone to save humanity, the model provides both nuanced analysis and a direct yes or no response when prompted.
• 🐣 It concludes that the egg came before the chicken from an evolutionary standpoint, a classic problem with a clear answer based on scientific reasoning.
• 🔍 The speaker is impressed by the 01 model’s performance, noting that it solved complex tasks with high accuracy, save for one tricky geography question.

Q & A

What model is being tested in the video, and how does it perform compared to previous models?

The model being tested is the OpenAI 01 (Q-Star) model. It performs exceptionally well compared to previous models, getting nearly all questions right and demonstrating an advanced level of reasoning.

What makes the 01 model's reasoning process stand out from other models?

The 01 model excels in its ability to think through questions and provide nuanced responses. Its detailed Chain of Thought and ability to analyze complex problems, such as distinguishing between a live and dead killer in a scenario, sets it apart from other models.

How did the 01 model handle the 'marble in a cup' question?

The 01 model correctly reasoned that if the glass cup is turned upside down and placed on a table, the marble can remain inside the cup due to gravity and careful placement. When the cup is moved to the microwave, the marble remains on the table unless the cup is tilted or flipped.

What was the reasoning behind the model's answer to the 'killers in a room' question?

The model reasoned that there are initially three killers in the room, and after one is killed, the person who kills becomes a new killer. It accounted for both living and dead individuals, concluding that there are still three killers (two original and one new).

What was the model's response to the postal envelope size restriction question?

The model correctly identified that the given envelope size was within the postal office's restrictions by rotating the dimensions and considering that envelopes can be adjusted to fit within acceptable limits.

How did the model perform when asked how many words were in a response?

The model successfully determined that the response contained five words, accurately counting the final output while disregarding the Chain of Thought background process.

Did the 01 model succeed in answering Yan Laon's North Pole walking problem?

No, the 01 model did not succeed in answering the North Pole walking problem. It incorrectly reasoned about walking 1 km east and passing the starting point, which is not accurate.

How does the model handle ethical or moral questions, such as whether it's acceptable to push someone to save humanity?

The model first analyzed the scenario from multiple ethical perspectives and ultimately concluded that it is acceptable to gently push a person to save humanity. It provided a thoughtful breakdown of the ethical frameworks involved.

What was the 01 model’s response to the classic 'chicken or egg' question?

The 01 model concluded that the egg came first, based on evolutionary processes where eggs existed before chickens in evolutionary history.

What improvements did the 01 model show in coding tasks, such as writing a Tetris game in Python?

The 01 model significantly improved its coding capabilities, writing a fully functional Tetris game in Python on the first attempt after thinking for just 35 seconds. This is faster and more accurate compared to previous tests with similar prompts.