Have you heard the buzz about ChatGPT 01? This new AI model is making waves, but how does it stack up against the competition? Let’s dive into a head-to-head battle between ChatGPT 01, GPT-4o, and Claude 3.5 Sonnet to uncover the champion!
⚔️ Round 1: The Basics – Can AI Count Its Rs? 🍓
Headline: Can AI handle simple counting? You might be surprised!
Explanation: We started with a classic – counting the ‘R’s in “strawberry.” It seems easy, but LLMs (Large Language Models) often stumble here.
Example: Both ChatGPT 01 and GPT-4o correctly identified three ‘R’s.
Surprising Fact: Previous versions of GPT-4o struggled with this task, highlighting the progress made.
Tip: Don’t assume AI can handle basic counting flawlessly. Always double-check!
⚔️ Round 2: The Age-Old Question – Chicken or Egg? 🥚🐔
Headline: AI tackles the ultimate origin story.
Explanation: We threw in a curveball with the classic “chicken or egg” dilemma.
Example: Both models correctly stated that the egg came first, citing evolutionary biology.
Surprising Fact: AI can understand complex biological concepts and historical timelines.
Tip: Use AI to explore fascinating “what came first” questions in different fields.
⚔️ Round 3: Numbers Game – Decimals and Deception 🧮
Headline: Can AI see through decimal trickery?
Explanation: We challenged the models to compare 9.11 and 9.9, a task that often trips up LLMs.
Example: Both models identified 9.9 as the larger number.
Surprising Fact: While seemingly simple, this test reveals how AI processes numerical values.
Tip: Don’t assume AI’s mathematical reasoning is flawless, especially with decimals.
⚔️ Round 4: The Marble Mystery – Testing Logic and Reasoning 🔮
Headline: Can AI track a disappearing marble? This one’s a real brain teaser!
Explanation: We presented a scenario involving a marble, a glass, and a microwave to test logical reasoning.
Example: ChatGPT 01 correctly deduced that the marble would be left on the table, while GPT-4o stumbled.
Surprising Fact: This test highlights the differences in how AI models approach spatial reasoning.
Tip: Use real-world scenarios to challenge AI’s problem-solving abilities.
⚔️ Round 5: Wordsmith Showdown – Counting the Words in a Response 📝
Headline: Can AI count its own words? This challenge separates the amateurs from the pros.
Explanation: We asked the models to count the words in their responses, a task that requires self-awareness.
Example: ChatGPT 01 accurately counted its words, while GPT-4o faltered.
Surprising Fact: This test demonstrates the advancement in AI’s ability to process its own output.
Tip: Be cautious when relying on AI for tasks requiring precise word counts.
🧰 Resource Toolbox:
- Matthew Berman’s AI Tests: https://www.youtube.com/watch?v=SbrfjBV8EzM&t=466s – Explore Matthew’s channel for insightful AI model comparisons and challenges.
- Custom GPT with Chain of Thought Prompting: https://chatgpt.com/g/g-LF6OAw55k-gpt-o1-clone – Experiment with this custom GPT model to see the power of Chain of Thought prompting.
🎉 The Verdict: ChatGPT 01 Takes the Crown!
ChatGPT 01 consistently outperformed the competition, showcasing remarkable advancements in logical reasoning, self-awareness, and coding capabilities. While GPT-4o and Claude showed potential, ChatGPT 01 emerges as the clear winner in this AI showdown.
