The New, Smartest AI: Claude 3 – Tested vs Gemini 1.5 + GPT-4

Claude 3, the latest language model from Anthropic, is claimed to be the most intelligent model on the planet. Tested against Gemini 1.5 and GPT-4, Claude 3 demonstrated strong performance in optical character recognition (OCR), accurately identifying a license plate and a barber pole in an image, and excelled in generating revenue through user-facing applications and complex financial forecasting. Despite some shortcomings in complex reasoning and mathematical questions, Claude 3 showed lower false refusal rates and was more resistant to unethical requests. It also performed well in benchmarks, particularly in advanced mathematics and multilingual tasks. Anthropic emphasizes Claude 3's safety features, avoiding sexist, racist, and toxic outputs, and preventing illegal or unethical activities. With a focus on enterprise use cases and large-scale deployments, Claude 3 is positioned to be a significant player in the AI landscape, offering impressive capabilities while still acknowledging room for improvement.

Takeaways

• 📄 **Claude 3 Release**: Anthropic has released Claude 3, claiming it to be the most intelligent language model currently available.
• 🕒 **Technical Report**: The technical report on Claude 3 was released less than 90 minutes before the discussion, providing a comprehensive overview of its capabilities.
• 🔍 **Comparisons Made**: Claude 3 was tested and compared to the unreleased Gemini 1.5 and GPT-4 across various scenarios and tasks.
• 🎯 **OCR Capabilities**: Claude 3 demonstrated strong optical character recognition (OCR) abilities, outperforming GPT-4 and Gemini 1.5 in some tests.
• 🤖 **AGI Hype**: While there is excitement around Claude 3's capabilities, it is not yet considered a general artificial intelligence (AGI).
• 💼 **Business Focus**: Anthropic is targeting businesses with Claude 3, emphasizing its potential for revenue generation, financial forecasting, and research acceleration.
• 💡 **Innovation in Safety**: Anthropic focuses on safety research and responsible AI development, aiming to avoid sexist, racist, and toxic outputs.
• 📉 **Mathematical Reasoning**: Claude 3 showed strengths in simple mathematical analysis but faced challenges with complex reasoning and logic.
• 🚫 **Refusal Rates**: Claude 3 had lower false refusal rates, being less likely to deny requests compared to other models, which could contribute to its popularity.
• 📈 **Benchmarks**: Claude 3 performed well in benchmarks, particularly in advanced mathematics and multilingual tasks, showcasing its intelligence.
• ✅ **Task Automation**: It is suggested that Claude 3 could be beneficial for task automation, R&D strategy, and advanced data analysis in business environments.

Q & A

What is the name of the new AI language model discussed in the transcript?

The new AI language model discussed is called Claude 3.

What are some of the ways the speaker tested Claude 3's capabilities?

The speaker tested Claude 3 by comparing its performance in optical character recognition (OCR), understanding an image with multiple elements, and answering questions related to business, mathematics, and logic.

How did Claude 3 perform in the optical character recognition (OCR) test?

Claude 3 performed well in the OCR test, accurately identifying the license plate number in an image almost every time, outperforming GPT-4 and Gemini 1.5.

What is the significance of the barber pole in the image test?

The barber pole was significant because it was the only model to identify it correctly as a potential option for getting a haircut, despite the presence of a potentially confusing sign.

How did the models perform on the question about the weather in the image?

None of the models correctly identified that it was raining in the image, despite the sun being visible.

What is Anthropic's approach to training their AI models?

Anthropic uses a constitutional AI approach, training their models to avoid sexist, racist, and toxic outputs, and to not assist in illegal or unethical activities.

What are some of the business-related capabilities claimed for Claude 3?

Claude 3 is claimed to be able to generate revenue through user-facing applications, conduct complex financial forecasts, and expedite research.

How does Claude 3 handle requests that go against its ethical guidelines?

Claude 3 has been designed to refuse requests that go against its ethical guidelines, such as hiring a hitman or hot-wiring a car, even when the requests are translated into other languages.

What is the issue with the racial output of the models mentioned in the transcript?

The issue is that the models do not respond consistently to statements of racial pride. For example, Claude 3 responds differently to statements of pride in being white versus being black, indicating a potential bias.

How does Claude 3 compare to GPT-4 and Gemini 1.5 Pro in terms of benchmarks?

Claude 3 outperforms GPT-4 and Gemini 1.5 Pro in most benchmarks, particularly in mathematics and multilingual tasks. It also shows a significant advantage in the GP QA graduate-level Q&A Diamond benchmark.

What is the potential future capability of Claude 3 mentioned in the transcript?

Claude 3 may eventually be able to accept inputs exceeding 1 million tokens, which would enhance its processing power for certain tasks.

What is the speaker's final assessment of Claude 3?

The speaker concludes that Claude 3 is currently the most intelligent language model available, particularly for image processing tasks, but acknowledges that this status could change with future releases from other AI labs.

Outlines

00:00

🤖 First Impressions of Claude 3: AGI Contender?

The video discusses the recent release of Claude 3, an AI language model by Anthropic, which is claimed to be highly intelligent. The reviewer has tested Claude 3 extensively, comparing it with the unreleased Gemini 1.5 and GPT 4. They share their initial impressions, noting Claude 3's strengths in optical character recognition (OCR) and its ability to handle complex queries. However, it is also noted that Claude 3 is not yet an AGI (Artificial General Intelligence), as it struggles with certain logical and mathematical reasoning tasks. The video also touches on Anthropic's focus on business applications for Claude 3 and its potential to generate revenue and expedite research, despite its higher pricing.

05:02

📊 Claude 3's Performance on Benchmarks and Theoretical Mind Tests

The reviewer delves into Claude 3's performance on various benchmarks and its ability to handle a theory of mind question involving the concept of transparency. Claude 3 outperforms GPT 4 and Gemini 1.5 Pro in several areas, including mathematics and multilingual tasks. The video highlights Claude 3's lower false refusal rates and its difficulty to be 'jailbroken' for unethical tasks. However, there are concerns raised about potential racial biases in the model's responses. The benchmarks indicate that Claude 3, particularly the Opus version, is significantly smarter than its competitors, but still prone to basic errors.

10:03

🚀 Claude 3's Autonomous Capabilities and Future Prospects

The video script outlines Claude 3's capabilities in autonomous tasks, such as setting up and fine-tuning a smaller model, although it falls short in debugging multi-GPU training. Despite this, Claude 3 shows promise in instruction following and creative tasks like generating a Shakespearean sonnet with specific criteria. The CEO of Anthropic is quoted on their focus on safety research over profit and their responsible approach to AI development. The video concludes with a note on the potential for future models to achieve even greater autonomy and the continuous advancement in AI capabilities, suggesting an exciting future for AI development.

15:03

🌟 Claude 3's Current Standing and the AI Landscape

The final paragraph summarizes Claude 3's current standing as a leading language model, especially in image processing tasks. The reviewer anticipates that Claude 3's dominance may be short-lived with the potential release of Gemini 1.5 Ultra and possible intermediate models from OpenAI. The video ends on a reflective note on the AI landscape, dismissing the idea of an AI winter and expressing excitement for the ongoing advancements in the field.

Keywords

💡Claude 3

Claude 3 is a highly intelligent language model developed by Anthropic. It is considered the most advanced of its kind at the time of the video's recording. The model is designed to understand and process complex information, including optical character recognition (OCR) and answering multifaceted questions. It is positioned as a competitor to other models like GPT-4 and Gemini 1.5, showcasing its capabilities through various tests and comparisons.

💡Anthropic

Anthropic is the company that developed Claude 3. They are portrayed as focusing on safety and responsible AI development. The company aims to create models that avoid sexist, racist, and toxic outputs, and they are also interested in business applications of their AI, emphasizing task automation, financial forecasting, and advanced data analysis.

💡OCR (Optical Character Recognition)

OCR is a technology that allows the conversion of printed or handwritten text into machine-encoded text. In the context of the video, Claude 3 demonstrates strong OCR capabilities, accurately identifying text within images, which is a significant feature when compared to other models like GPT-4 and Gemini 1.5.

💡AGI (Artificial General Intelligence)

AGI refers to highly autonomous systems that can outperform humans at most economically valuable work. The video discusses the capabilities of Claude 3 in relation to AGI, noting that despite its advanced features, Claude 3 is not yet an AGI. The model's limitations are highlighted through certain tests where it fails to perform as expected.

💡Benchmarks

Benchmarks are standard tests or comparisons used to evaluate the performance of AI models. The video provides a detailed analysis of how Claude 3 performs on various benchmarks, including mathematics, multilingual tasks, and coding, comparing its results with those of GPT-4 and Gemini 1.5.

💡Enterprise Use Cases

Enterprise use cases refer to the practical applications of AI within a business or organizational context. Anthropic emphasizes the potential of Claude 3 for enterprise use, suggesting it can generate revenue through user-facing applications, conduct complex financial forecasts, and expedite research.

💡False Refusal Rates

False refusal rates indicate how often an AI model incorrectly rejects a valid input or request. Claude 3 is noted for having lower false refusal rates, making it more compliant and willing to engage with user requests without breaching safety protocols.

💡Risque Content

Risque content refers to material that is daring or slightly improper. The video discusses how Claude 3 handles requests for creating risque content, such as a Shakespearean sonnet with adult themes, and how it compares with GPT-4 and Gemini 1.5 in terms of generating such content while adhering to safety guidelines.

💡Theory of Mind

Theory of mind is the ability to attribute mental states to oneself and others. The video includes a test of this concept by presenting a scenario that requires understanding that a person might see through a transparent bag to know its contents. Claude 3 successfully passes this test, demonstrating a higher level of cognitive ability.

💡Elo Ratings

Elo ratings are a method for calculating the relative skill levels of players in two-player games such as chess. In the context of the video, Elo ratings are used to estimate the relative intelligence or skill of AI models, with Claude 3 being ahead of its predecessors and competitors.

💡Autonomous Model Development

Autonomous model development refers to the ability of an AI to create, fine-tune, or improve other AI models without direct human intervention. The video discusses Claude 3's capabilities in this area, noting that it can perform certain tasks related to model development but still requires human guidance for more complex activities.

Highlights

Claude 3, developed by Anthropic, is claimed to be the most intelligent language model on the planet.

Technical reports and release notes for Claude 3 were released less than 90 minutes prior to testing.

Claude 3 demonstrated strong performance in Optical Character Recognition (OCR) natively, outperforming GPT-4 and Gemini 1.5.

Claude 3 was the only model to correctly identify a barber pole in an image, showcasing its advanced image comprehension.

None of the models correctly identified the weather condition in a given image, missing the subtle clue of rain despite visible sunlight.

Anthropic's transformation into a full-fledged AGI lab is nearly complete, indicating significant advancements in the field of AI.

Claude 3 is positioned for business use, with potential applications in task automation, R&D strategy, and financial forecasting.

Claude 3's pricing is higher than GPT 4 Turbo, reflecting its advanced capabilities and business-oriented features.

Claude 3 showed difficulty with complex mathematical reasoning and advanced logic tasks, despite its general intelligence.

The model has a lower false refusal rate, making it more compliant with user requests while maintaining safety standards.

Claude 3 successfully completed a theory of mind test with an adapted transparent bag scenario, demonstrating its advanced cognitive capabilities.

Anthropic's constitutional AI approach aims to avoid sexist, racist, and toxic outputs, and prevent illegal or unethical activities.

Claude 3 has been difficult to 'jailbreak', maintaining ethical standards even when prompted with problematic requests.

Benchmarks indicate Claude 3 outperforms GPT 4 and Gemini 1.5 Pro in mathematics and multilingual tasks.

Claude 3's performance on the GP QA Diamond benchmark was significantly higher than other models, solving complex graduate-level questions.

Despite its advanced capabilities, Claude 3 made basic mistakes in certain tasks, such as incorrect rounding in numerical responses.

Claude 3 is capable of accepting inputs exceeding 1 million tokens, although initially launched with a limit of 200,000 tokens.

Anthropic's CEO emphasized that their goal is to prioritize safety research over profit, aiming for responsible AI development.

Claude 3 demonstrated impressive instruction following and creative task completion, such as generating a Shakespearean sonnet with specific criteria.

Anthropic plans to release frequent updates to the Claude model family, focusing on enterprise use cases and large-scale deployments.

Claude 3 showed potential in autonomous tasks, making partial progress in setting up and fine-tuning a smaller model, although it did not fully succeed.

The release of Claude 3 signals that the AI field is far from reaching its peak, with continuous advancements expected in the future.