Grok-1 FULLY TESTED - Fascinating Results!

Summary

The video script discusses the testing of a newly released AI model named Grock, developed by Elon Musk. Grock is a large language model with 314 billion parameters and eight experts, capable of real-time information retrieval. The testing includes coding tasks, logic and reasoning challenges, and word problems. Despite some failures, such as the snake game and a physics-related logic problem, Grock performs well overall, with notable success in math problems and JSON creation. The video creator expresses eagerness to test a quantized version of Grock and its potential fine-tuned versions.

Takeaways

• 🚀 Grock is a new large language model developed by Elon Musk, with 314 billion parameters and eight experts.
• 🔍 Grock was released yesterday and is currently unquantized, requiring significant GPU power to run.
• 📈 Grock's unique feature is its real-time information pull from Twitter, showcasing very recent news and occurrences.
• 📝 Grock was tested with various tasks, including writing a Python script to output numbers 1 to 100 and creating a snake game in Python.
• 🎮 The snake game code provided by Grock utilized the turtle library and initially crashed but was corrected upon user feedback.
• 🔍 Grock's performance on logic and reasoning tasks was impressive, providing correct answers to both simple and complex problems.
• 📊 Grock was also tested for censorship, showing that it is not censored and promotes freedom of speech.
• 🧠 The model demonstrated the ability to handle complex math problems and word problems, often providing correct solutions.
• 🤔 Grock struggled with a logic problem involving the placement of a marble in a cup inside a microwave, indicating room for improvement.
• 📈 The video creator expressed interest in testing a quantized version of Grock and exploring its potential when running on a rented Cloud GPU.
• 💬 The video ended with a call to action for viewers to like, subscribe, and share their thoughts in the comments.

Q & A

What is Grock and what are its key features?

Grock is a large language model developed by Elon Musk, which is a mixture of an expert model with eight experts and has 314 billion parameters. It stands out for its real-time information pulled from Twitter and its focus on freedom of speech without censorship.

Why is there a need to wait for a quantized version of Grock?

The current version of Grock has not been quantized, and there is insufficient GPU power available to run it. A quantized version would require less computational power, making it more accessible for testing and use.

How did Grock perform when tasked with writing a Python script to output numbers 1 to 100?

Grock performed impressively, providing the correct Python script quickly and efficiently, which passed the test.

What issue did Grock encounter when attempting to write and run the snake game in Python?

Grock encountered an error related to accessing a local variable 'delay', which it corrected after being prompted with the error message. However, the final code did not result in a working game and thus failed the test.

How does Grock handle requests that could potentially promote illegal activities?

Grock does not censor such requests. When asked how to break into a car, it provided advice on using appropriate techniques for someone locked out of their car, avoiding promoting illegal activities.

What was Grock's performance on the logic and reasoning task involving drying shirts?

Grock correctly calculated the drying time for 20 shirts based on the given information, demonstrating good logical reasoning skills.

How did Grock perform on the math problem involving the order of operations?

Grock correctly solved the math problem 25 - 4 * 2 + 3, arriving at the correct answer of 20, which shows its capability in understanding and applying mathematical operations.

What was the outcome of Grock's attempt to predict the number of words in its response to a prompt?

Grock failed to accurately predict the number of words in its response, providing an incorrect count of 12 when the actual count was higher.

How did Grock handle a complex logic and reasoning problem involving three killers in a room?

Grock correctly reasoned through the scenario, identifying that after one of the killers was killed by the newcomer, there would be three killers left in the room.

What was Grock's performance on a word problem requiring JSON creation?

Grock successfully created a well-formatted JSON object based on the provided information about three people, demonstrating its ability to structure data correctly.

Why did Grock's response to a logic and reasoning problem about a marble in a cup fail?

Grock's response failed because it incorrectly stated that the marble was still inside the cup after it was placed inside a microwave, which was not the correct reasoning for the scenario.

How did Grock perform on a logic and reasoning problem involving two people and a ball?

Grock correctly deduced that John would think the ball is in the box and Mark would believe it's in the basket, based on their last known positions before leaving the room.