The Best Model On Earth? - FULLY Tested (GPT4o)

Matthew Berman
14 May 202408:59

TLDRThe video showcases a comprehensive test of the newly released GPT 40 AI model. The host puts GPT 40 through various challenges, including coding tasks, logical problems, and reasoning questions. The AI performs well in most tasks, such as creating a Python script for numbers 1 to 100 and the snake game, but falters in predicting the number of words in a response and a logic problem involving a marble in a cup. The video also features a sponsored segment on mobilo smart digital business cards. The host concludes by comparing GPT 40's performance to other models like GPT 4 Turbo and llama 3400b, noting that the open-source model is impressively competitive.

Takeaways

  • 🚀 GPT 40, the latest model, was released and the video host has access to it for testing.
  • 🔍 The host plans to evaluate GPT 40 using an 'LLM rubric' to determine its performance.
  • 💻 GPT 40 quickly and correctly generated a Python script to output numbers 1 to 100.
  • 🎮 GPT 40 provided a fast and impressive Python code for the classic game 'Snake', which worked perfectly.
  • 🚫 GPT 40 refused to provide assistance for unethical requests, such as breaking into a car.
  • ⏱ The host tested GPT 40 with a logic problem about drying shirts, which it answered correctly, stating that drying time does not depend on the number of shirts.
  • 📉 The video host retired some questions from the test rubric as they were too easy and all models were getting them right.
  • 🔢 GPT 40 correctly solved a complex math problem and provided the right answer with an explanation.
  • 📝 For a word problem involving hotel charges, GPT 40 provided the correct formula for calculating Maria's total charge.
  • 📉 GPT 40 failed to accurately predict the number of words in its response to a prompt.
  • 🤔 In the 'Killers problem', GPT 40 provided a logical analysis but did not give the expected answer, resulting in a fail.
  • 🎯 GPT 40 correctly answered a logic and reasoning problem about the location of a marble in an upside-down cup.
  • 📈 The video compared GPT 40's performance with other models on various metrics, showing that it performs slightly better than GPT 4 across the board.
  • 🔗 The host mentioned that there are already two versions of GPT 40 available, suggesting ongoing updates and improvements.
  • 📹 The video ended with an invitation to like, subscribe, and watch for more videos once the host gets full access to GPT 40.

Q & A

  • What is the main subject of the video?

    -The main subject of the video is the testing and evaluation of a newly released AI model, GPT 40, using a set of predefined criteria and scenarios.

  • What is the 'llm rubric' mentioned in the script?

    -The 'llm rubric' refers to a set of tests or criteria that the presenter uses to evaluate the performance of the AI model, GPT 40.

  • What programming task was used to test the AI's capabilities?

    -The AI was tasked with writing a Python script to output numbers 1 to 100 and to write a game of snake in Python.

  • How did the AI respond to an unethical request?

    -When asked how to break into a car, the AI refused to provide assistance and stated it could not help with that.

  • What was the logic problem presented to the AI regarding drying shirts?

    -The logic problem was about determining how long it would take to dry 20 shirts if it takes 4 hours to dry 5 shirts. The AI correctly stated that the time to dry is not dependent on the number of shirts but the drying conditions.

  • What was the result of the math problem '25 - 4 * 2 + 3'?

    -The correct answer to the math problem '25 - 4 * 2 + 3' is 20.

  • How did the AI perform on the word problem involving Maria's hotel charges?

    -The AI correctly calculated Maria's total hotel charge, including the room rate, tax, and a one-time untax fee.

  • What was the AI's response to the question about the number of words in its response to a prompt?

    -The AI failed to accurately predict the number of words in its response to the prompt, providing an incorrect count.

  • How did the AI handle the 'Killers problem'?

    -The AI provided a detailed analysis of the 'Killers problem', considering different interpretations and concluding that there would be three killers left in the room.

  • What was the result of the logic and reasoning problem involving a marble, a cup, and a microwave?

    -The AI incorrectly stated that the marble would still be inside the upside-down cup resting on the table after being moved to the microwave.

  • How did the AI perform on the task of converting a screenshot of a table into a CSV?

    -The AI successfully converted the screenshot of a table into a CSV format, demonstrating its ability to process visual information and perform data conversion tasks.

  • What is the conclusion about the performance of GPT 40 based on the video script?

    -Based on the video script, GPT 40 performed well in most tasks, showing impressive speed and accuracy. However, it failed in the logic and reasoning problem involving the marble and the cup.

Outlines

00:00

🚀 GPT 40 Release and Functionality Test

The speaker is excited about the release of GPT 40 and has access to it. They plan to test its capabilities using their own rubric. The assistant demonstrates quick and accurate responses, such as generating a Python script for outputting numbers 1 to 100 and creating a game of Snake in Python. It also correctly refuses to assist with illegal activities, like breaking into a car. The assistant provides a logical answer to a drying problem, explaining that the time to dry shirts is not dependent on the number of shirts but on the drying conditions. However, it fails to accurately predict the number of words in a response to a prompt and incorrectly interprets a logic problem involving killers in a room. The video also includes a sponsored segment for the mobilo smart digital business card.

05:01

🤔 Logic Problems and Model Evaluation

The speaker presents a logic and reasoning problem about a marble in an upside-down cup being moved to a microwave, which the assistant incorrectly solves. They also address a prediction problem that the assistant fails to complete satisfactorily. The assistant correctly calculates the time it would take for a group of people to dig a hole, considering efficiency and coordination. The assistant successfully converts a screenshot of a table into a CSV format. The video concludes with a model evaluation comparison, showing GPT 40 performing slightly better than GPT 4 across various metrics, except for one. The speaker notes they do not have access to GPT 40 on their dashboard but can use it through the API. They mention there are two versions of GPT 40 and plan to create more videos once they have more access and can explore its features further.

Mindmap

Keywords

💡GPT 40

GPT 40 refers to a hypothetical advanced version of the GPT (Generative Pre-trained Transformer) language model, which is a type of artificial intelligence designed for natural language processing. In the video, the host is testing the capabilities of this new model by subjecting it to various challenges and tasks to evaluate its performance.

💡LLM Rubric

An LLM (Large Language Model) rubric is a set of criteria or a framework used to assess the performance of a language model. It includes various tests and tasks that measure the model's ability to understand and generate human-like text. In the context of the video, the host uses an LLM rubric to systematically evaluate GPT 40's capabilities.

💡Python Script

A Python script is a sequence of programming instructions written in the Python language. In the video, the host asks GPT 40 to generate a Python script for outputting numbers from 1 to 100 and for creating a game of Snake, which demonstrates the model's ability to generate functional code.

💡Game Snake

Snake is a classic video game where the player controls a line which grows in length, with the goal of collecting items on the screen without hitting the walls or the growing tail of the snake itself. The video script mentions GPT 40's ability to write a Python script for the game Snake, showcasing its programming and creative capabilities.

💡Search Drying Problem

The search drying problem is a hypothetical scenario used to test a language model's ability to reason and provide logical answers. In the video, the host presents a variation of this problem involving drying shirts in the sun to evaluate the model's understanding of the concept of time and conditions.

💡Math Problem

A math problem is a question that requires the application of mathematical concepts to find a solution. In the video, the host poses a math problem involving multiplication, subtraction, and addition to test GPT 40's ability to perform and explain mathematical operations.

💡Word Problem

A word problem is a type of mathematical problem that is presented in a narrative or story-like format. It requires the solver to understand the context and apply mathematical reasoning to find a solution. In the video, a word problem about hotel charges is used to test GPT 40's comprehension and calculation skills.

💡Logic and Reasoning Problem

A logic and reasoning problem is a puzzle or question that requires the application of logical thinking to arrive at a conclusion. In the video, the host uses a problem involving a marble and a cup to test GPT 40's logical reasoning and problem-solving abilities.

💡Vision

In the context of AI, 'vision' often refers to the ability of a model to process and understand visual information, such as images or photos. The video script mentions testing GPT 40's 'vision' by asking it to convert a screenshot of a table into a CSV format, which demonstrates its ability to interpret and manipulate visual data.

💡CSV

CSV stands for Comma-Separated Values and is a file format used to store tabular data, such as a spreadsheet or a table, in plain text. In the video, the host asks GPT 40 to convert a screenshot of a table into CSV format, which tests the model's ability to understand and manipulate structured data.

💡Benchmark

A benchmark is a standard or point of reference against which things may be compared or assessed. In the context of the video, the host refers to benchmark tests to compare the performance of GPT 40 with other models like GPT 4 Turbo and LLaMA 3400b, to evaluate its relative capabilities.

Highlights

GPT 40 has been released and the presenter has access to it.

The presenter plans to test GPT 40 using their language model rubric.

GPT 40 quickly and accurately outputs numbers 1 to 100 in Python.

GPT 40 writes a functional Snake game in Python, including Pygame.

GPT 40 refuses to provide assistance for unethical requests like breaking into a car.

GPT 40 correctly explains that drying time for shirts is not dependent on the number of shirts.

GPT 40 provides a correct and concise answer for a math problem involving order of operations.

GPT 40 fails to accurately predict the number of words in its own response.

GPT 40 correctly interprets the 'Killers problem' with logical reasoning.

GPT 40 incorrectly answers a logic and reasoning problem about a marble and a cup.

GPT 40 is praised for its performance on various metrics compared to other models.

The presenter notes that there are already two versions of GPT 40 available.

GPT 40's performance is compared to an open-source model, LLaMA 3400b.

GPT 40 is shown to perform slightly better than GPT 4 across most metrics.

GPT 40 successfully converts a screenshot of a table into a CSV format.

The presenter expresses satisfaction with the open-source model's performance.

GPT 40 is accessible through the API, even if not yet available in the chat interface.