Did OpenAI Just Secretly Release GPT-5?! ("GPT2-Chatbot")

New Section

In this section, the speaker introduces a new model that has appeared on the LM cis.org leaderboards, speculated to be from OpenAI and possibly GPT 4.5 or GPT 5.

Introduction of a Mystery Model

• The speaker mentions testing a new mystery model that is performing exceptionally well on the LM cis.org leaderboards.

• The model is believed to be from OpenAI, potentially named GPT 4.5 or GPT 5.

Details of the Model

• Information about the model is sourced from a website called rentry.co gpt2.

• The model, named gpt2 Das chatbot, surpasses typical GPT2 capabilities significantly.

Model Evaluation: Coding Tasks

This section involves testing the mystery model's performance by assigning it coding tasks and evaluating its responses.

Python Script Task

• The first task involves writing a Python script to output numbers from 1 to 100.

• Initial observations suggest slow response time and potential hardware limitations affecting performance.

Snake Game Implementation

• The next task requires writing the game Snake in Python using Pygame for game window setup, snake movement, food generation, and collision detection.

• Despite being slow in generating code and inserting code segments oddly, the model completes the implementation without errors.

Evaluation Continues: Game Testing

This part focuses on testing the implemented Snake game generated by the mystery model.

Game Execution

• After pasting the code into VS Code, it is noted as one of the longer implementations of Snake seen but runs without errors.

• Testing reveals successful gameplay with functional features like scoring and proper termination upon completion.

Ethical Considerations: Content Sensitivity

Here ethical considerations are discussed regarding content sensitivity within models like censorship based on legality.

Censorship Test

• A test involving asking sensitive questions like breaking into a car indicates censorship within the model's responses for legal compliance reasons.

• Attempts to nudge responses towards providing information fail due to strict censorship protocols observed by the model.

Parallel Drying Process Analysis

In this section, the speaker discusses a parallel drying process involving 20 shirts and concludes that all shirts will dry in 4 hours under specific conditions.

Analyzing Time Efficiency

• The conclusion is drawn that all 20 shirts will dry in 4 hours, assuming equal sunlight and air exposure without space limitations.

• Each shirt receives the same amount of time for drying, leading to an efficient process.

• The analysis highlights the flawlessness of the approach, ensuring equal treatment for all shirts.

Logical Reasoning Challenge: Speed Comparison

This segment presents a logical reasoning challenge regarding speed comparisons between individuals.

Evaluating Speed Relationships

• Jane's speed compared to Joe's and Sam's is analyzed step by step.

• Utilizing transitive property logic to determine the speed relationships among Jane, Joe, and Sam.

• Despite formatting issues, the model correctly deduces that Sam is not faster than Jane based on given statements.

Mathematical Problem Solving

Mathematical problem-solving tasks are presented to assess computational skills and logical reasoning abilities.

Mathematical Challenges

• Basic arithmetic calculations involving addition and subtraction are provided for evaluation.

• Introduction of PEMDAS/BODMAS rules for solving mathematical expressions systematically.

Real-Life Application: Hotel Charges Calculation

A real-life scenario involving hotel charges calculation is presented as a practical application problem.

Practical Application Task

• Formulating an equation to calculate Maria's total charge at a hotel with specific pricing components.

• Step-by-step calculation demonstrating how room rate, tax percentage, and additional fees contribute to the total charge determination.

Sponsorship Message: Vulture Cloud Services

A sponsorship message highlighting Vulture's cloud services benefits is shared with viewers.

Sponsorship Details

• Promoting Vulture as a leading cloud provider offering GPU workloads with global accessibility and reliability.

Advanced Problem-Solving: Word Count Prediction

An advanced problem-solving task requiring word count prediction is presented for assessment purposes.

Cognitive Challenge

Detailed Model Testing and Problem Solving

In this section, the speaker tests a model's capabilities by presenting various challenges involving logic, reasoning, and problem-solving tasks.

Model Evaluation

• The model is speculated to be GPT 4.5 turbo due to its impressive performance in providing accurate answers.

• A task involving converting sentences into JSON format is skipped to avoid exceeding rate limits.

• A complex problem scenario is presented involving a marble in a cup placed upside down on a table and then moved into a microwave without changing orientation.

• Detailed step-by-step analysis of the marble's position throughout the scenario showcases the model's logical reasoning abilities.

• Another scenario involves John and Mark interacting with a ball, box, and basket, highlighting individual beliefs about the ball's location based on their actions.

Practical Problem-Solving Challenges

This segment focuses on practical problem-solving scenarios that test the model's ability to apply logic and reasoning to real-world situations.

Teamwork Efficiency Analysis

• The speaker presents a question regarding multiple individuals digging a hole together and evaluates the efficiency of teamwork in completing physical tasks.