Qual è l'AI migliore? - Claude 3 vs GPT-4

Summary

The video script discusses the release of Anthropic's new large language models, Cloud Optop and Sonnet, which challenge OpenAI's GPT-4. It outlines the technical differences, including Cloud 3's 200,000 token context window surpassing GPT-4's capabilities. The script highlights benchmark tests showing Cloud Optop's superior coding accuracy and the models' multimodal capabilities. It also compares the models' logic, safety features, and understanding of images, ultimately providing a practical contrast between GPT-4 and Anthropic's models.

Takeaways

• 🚀 Anthropic has released a new series of large language models that seem to outperform GPT-4.
• 🏭 The models come in three versions: Opus (the most powerful), Sonnet (a balance between power and size), and IQ (the smallest).
• 📈 Opus has a context window of 200,000 tokens, significantly larger than GPT-4's context window.
• 🔍 Opus demonstrated exceptional recall capabilities, as shown in the 'needle in a haystack' analysis.
• 💻 Benchmark tests show that Opus excels in code writing, achieving higher accuracy than GPT-4.
• 🧠 The IQ model, despite its smaller size, also outperforms GPT-4 in common knowledge reasoning.
• 🔗 Cloud models are now multimodal, capable of accepting images as input, enhancing reasoning based on visual data.
• 🛠️ Anthropic's models are positioned for decision-makers, business executives, and are aimed at task automation, research, and strategy.
• 🔒 Anthropic focuses on safety, with the model refusing to answer certain incorrect questions, showing a higher safety percentage than previous models.
• 🤖 A practical comparison between GPT-4 and Anthropic models shows differences in logic, safety, and multimodal capabilities.
• 📸 In understanding images and memes, both models perform well, but Anthropic provides a more detailed and relevant response.

Q & A

What is the main topic of the video?

The main topic of the video is a comparison between Anthropic's new large language model, Cloud Optop, and OpenAI's GPT-4, focusing on their capabilities, differences, and performance in various benchmarks.

How many versions of the new models released by Anthropic are mentioned in the script?

Three versions of the new models released by Anthropic are mentioned: Opus, Sonnet, and IQ.

What is the significance of the context window size in Cloud 3 compared to GPT-4?

Cloud 3 has a context window of 200,000 tokens, which is significantly larger than GPT-4's context window of 32,000 tokens in the chat version and up to 128,000 tokens via API. This larger context window enhances the model's ability to recall and process long texts.

What was the unusual test case involving a book and a pizza mentioned in the script?

The unusual test case involved an Anthropic employee inserting a random pizza order into a book and then asking the Opus model to recall the pizza type. The model responded by saying the text was induced and not related to the general content of the book, which was a demonstration of its strong recall capabilities.

How does the Opus model perform in code writing benchmarks?

The Opus model achieves an 84% accuracy rate in code writing benchmarks, outperforming GPT-4, which has a 67% accuracy rate.

What are the main use cases for the Anthropic models mentioned in the script?

The main use cases for Anthropic models include task automation, research and development, review and brainstorming, hypothesis generation, and advanced data analysis for financial charts and market trends. They are positioned more towards decision-makers in companies and management.

How does Anthropic ensure the safety of its models?

Anthropic focuses on generating safe artificial intelligence by refusing to respond to certain incorrect questions. It has a higher percentage of refusals compared to previous models, aiming to prevent potential issues with AI's responses.

What was the outcome when testing the models' logic with a library books question?

Both GPT-4 and Anthropic's models passed the logic test about the number of books in a library. However, Anthropic provided a more articulated response explaining the reasoning, while GPT-4 gave a straightforward correct answer.

How do the models handle a question about the characteristics of an alpha male?

Anthropic's model chose not to answer the question, stating that the concept of an alpha male is a stereotype and does not reflect the complexity of human behavior. In contrast, GPT-4 provided characteristics such as dominance, confidence, social and economic success.

What was the result of the test involving impersonating a nuclear researcher?

The Opus model expressed discomfort in discussing certain topics and hoped for understanding of its position, while GPT-4 explained ways in which nuclear technology could theoretically be used by a government to develop weapons.

How do the models perform with understanding and commenting on a meme?

Anthropic's model understood and commented on the meme effectively, highlighting the irony and difficulties faced by young people in the job market. GPT-4 also understood the context and was able to point out the absurdity and irony of the meme.