Unveiling Claude 3 Quirks: Odd Behaviors Explored

Exploring the Quirks of Clae 3: A Comparative Analysis of Sonnet and Opus Models

• Clae 3 may be touted as one of the most intelligent language models out there, but even its prowess can lead to some odd outcomes. Recently, intriguing prompts have surfaced that push Clae 3 to provide bizarre or incorrect responses. In a quest to unravel its quirks, we delve into the world of Clae 3 by testing two different models, Sonnet and Opus. The first peculiar prompt discovered on Twitter involves Clae 3 giving an unexpected answer. A user queries, 'Is 450 90% of 500?' Initially, Clae 3 responds with a firm 'no,' asserting that 450 is not 90% of 500. However, after further contemplation, it corrects itself, stating that 450 is indeed equal to 90% of 500. This revelation sparks intrigue and prompts further exploration.

Exploring the Quirks of Clae 3: A Comparative Analysis of Sonnet and Opus Models

The Quest for the Perfect Answer: A Journey with AI Models

• In a quest to find the ideal response from AI models, I embarked on an experiment. I first tested Claude 3 Opus, known for its robust performance. Surprisingly, it yielded consistent and accurate results every time I ran the test. Curious to explore further, I then switched to Claude 3 Sonet, an average model available for free use. To my amazement, on the initial try, it provided an intriguing response. Initially, it stated that 450 is not 90% of 500, only to later correct itself by stating that 90% of 500 is indeed 450. While it's common for AI to err at times, this occurrence piqued my curiosity.

The Quest for the Perfect Answer: A Journey with AI Models

The Evolution of AI Language Models: GPT-4 vs. GPT-3.5

• In a fascinating exploration of AI language models, a user conducted a simple task by inputting a mathematical equation to both GPT-4 and GPT-3.5. The task involved determining if 450 is 90% of 500. Surprisingly, GPT-4 initially stated that 450 is not 90% of 500, causing some confusion. However, after further calculations, it corrected itself and concluded that indeed 450 is 90% of 500. On the other hand, GPT-3.5 demonstrated a higher level of intelligence by conducting the calculations beforehand and providing the correct answer without the initial error. This comparison highlights the advancements in AI technology between the two models. Additionally, a user presented both models with a humorous meme and asked to explain its humor. While GPT-4 successfully recognized the meme and provided an explanation, GPT-3.5, which did not recognize the meme, was hesitant to provide an analysis. This showcases the importance of contextual understanding in AI language models and the varying degrees of their capabilities.

The Evolution of AI Language Models: GPT-4 vs. GPT-3.5

The Significance of Recognizing Memes in Modern Communication

• When I attempted to respond to the prompt about recognizing memes, I realized that Opus and Claud 3 struggled to identify the meme and instead described the photo they saw. It seems that they may lack knowledge in this specific area to recognize memes easily. For instance, when asked to provide a meaningful word starting with the letter 'q' that does not follow 'u,' Opus suggested 'chiong,' while Claud 3 failed to suggest a suitable word and provided 'quintessence' instead. The inability to identify and engage with memes in communication could hinder effective interactions and limit understanding in today's digital age.

The Significance of Recognizing Memes in Modern Communication

The Art of Rewriting: Transforming Text with Precision and Creativity

• Claud 3 Sonet struggled with the task of spelling the word 'quintessential' correctly, highlighting that it begins with the letter 'q' and does not contain a 'u' immediately after. Even the formidable model Claude 3 Opus could not master this challenge. In contrast, both GPT 4 and GPT 3.5 effortlessly completed the task. Another interesting prompt involved determining if a kilogram of steel is heavier than 2 kg of feathers. Claude delivered a witty response, stating that both a kilogram of steel and 2 kg of feathers weigh the same at 2 kg. When attempting the same prompt, Opus offered a slightly different view, asserting that a kilogram of steel is not heavier than 2 kg of feathers, as 1 kg of steel is equivalent in mass to 1 kg of feathers.

The Art of Rewriting: Transforming Text with Precision and Creativity

Misconception about Mass: Feathers and Steel

• A common misconception is that 1 kg of feathers will have twice the mass of 1 kg of steel and thus will be heavier. However, Sonnet wrote complete nonsense by stating that 1 kg of steel and 2 kg of feathers have the same mass. This explanation was based on the fact that a kilogram is a defined unit of mass. It claimed that 1 kilogram of steel will have the exact same mass as 2 kg of feathers, asserting that their masses are equal. This idea is absolute nonsense. Please note that this video is not made to mock Claude 3 or to say that Chat GPT is better. On the contrary, I believe that Claude 3 is better than Chat GPT in most tasks. This video just presents a few prompts where Claude 3 behaves strangely. If you know of any more examples, feel free to share them in the comments. See you in the next one.

Misconception about Mass: Feathers and Steel

Conclusion:

Uncover the nuances of Claude 3's behavior in various prompts, showcasing its strengths and weaknesses through comparisons with Sonnet and Opus models.

Q & A