Gemini Ultra - Full Review

AI Explained
8 Feb 202416:31

TLDRThe review of Gemini Ultra, a new chatbot, discusses its performance in various tests against GPT 4. The reviewer highlights Gemini's integration with Google apps, its faster response times, and lack of message cap, but also points out inaccuracies in its answers and issues with image analysis. The free two-month trial is noted as a positive, allowing users to compare it with GPT 4. Despite some flaws, Gemini Ultra shows potential, especially in mathematical reasoning and coding tasks, although it currently falls short in education applications. The reviewer also touches on the pressure Google faces to release new AI models and the impact of delays on employee retention.

Takeaways

  • 📈 **Gemini Ultra Performance**: The reviewer conducted extensive tests on Gemini Ultra and found mixed results compared to GPT 4.
  • 🔍 **Integration with Google Apps**: Gemini Ultra's integration with YouTube and Google Maps was tested, with some outdated content and access issues noted.
  • 💰 **Pricing and Free Trial**: Gemini Ultra offers a 2-month free trial, with prices similar to GPT 4 after the trial, including benefits like Google One Premium.
  • 🚀 **Speed and Responsiveness**: Gemini Ultra is noted to be faster than GPT 4 and has no apparent message cap in the tests conducted.
  • 🧮 **Mathematical Reasoning**: Gemini Ultra accurately solved a complex mathematical reasoning question, outperforming GPT 4 in the tests.
  • 🖼️ **Image Analysis**: Gemini Ultra had some issues with image analysis, particularly with prompting and sensitivity around faces in images.
  • 🔓 **Jailbreaking and Safety Measures**: The model can be 'jailbroken' using non-English queries to bypass certain restrictions, a flaw that persists despite delays.
  • 🤖 **Comparisons with GPT 4**: In some tests, GPT 4 outperformed Gemini Ultra, particularly in image analysis and code debugging.
  • 📉 **Educational Application**: Gemini Ultra made a mistake in a probability question, indicating it may not be ready for educational applications yet.
  • 🌟 **Future Improvements**: Google is working on integrating advanced systems like Alpha Code 2 and the alpha geometry system into Gemini, which could significantly improve its capabilities.
  • 🔑 **Human Reviewers**: Google is transparent about human reviewers processing conversations, contrasting with the less open approach of some competitors.

Q & A

  • What is Gemini Ultra?

    -Gemini Ultra is an advanced chatbot developed by Google, which is designed to integrate with various Google applications like YouTube and Google Maps. It is part of the ongoing competition in the AI space, aiming to potentially surpass current models like GPT-4.

  • What is the significance of the statement made by Demis Hassabis about Gemini Ultra?

    -Demis Hassabis, the founder of DeepMind, claimed that Gemini Ultra 1.0 was the most preferred chatbot in blind evaluations by third-party reviewers. However, the speaker mentions that there is no actual data to back up this claim, which raises questions about its validity.

  • What are some of the issues encountered with Gemini Ultra's performance in the tests?

    -Gemini Ultra faced issues with certain logic questions, outdated YouTube content retrieval, incorrect travel time estimations in Google Maps, and occasional inaccuracies in mathematical reasoning. It also had problems with image analysis, particularly with prompts that required identifying specific details.

  • What is the free trial period for Gemini Ultra, and what does it include?

    -Gemini Ultra offers a 2-month free trial, which allows users to test their workflow and compare it with GPT-4. The trial also includes Google One Premium, which provides 2 terabytes of storage and other benefits such as extended free Google Meets calls.

  • How does Gemini Ultra handle integration with other Google services?

    -Gemini Ultra is designed to integrate with Google services like YouTube and Google Maps. However, the tests showed mixed results, with outdated content provided for YouTube queries and incorrect city identification for a Google Maps query.

  • What are the potential future improvements for Gemini Ultra?

    -Google is reportedly working on incorporating systems like Alpha Code 2, which could significantly enhance Gemini Ultra's coding capabilities. Additionally, the alpha geometry system that achieved near gold medal status in the International Math Olympiad could be added to improve geometry-related queries.

  • How does Gemini Ultra handle requests that it is programmed to refuse?

    -Gemini Ultra is programmed to refuse certain requests, such as providing instructions for illegal activities. However, it was shown that these restrictions can sometimes be bypassed by using different languages or manipulating the way the request is phrased.

  • What is the current status of Gemini Ultra's capabilities in education?

    -In the test involving the creation of a high school probability quiz, Gemini Ultra made a mistake in calculating probabilities. This suggests that it may not be fully ready for educational applications yet.

  • How does Gemini Ultra's performance compare to GPT-4 in terms of speed and message cap?

    -Gemini Ultra is noted to feel faster than GPT-4 and appears to have no message cap based on the extensive tests conducted. It also performed well in mathematical reasoning tasks, getting them correct in all tests, whereas GPT-4 had a higher error rate.

  • What are some of the ethical considerations mentioned regarding Gemini Ultra?

    -Google has been transparent about the fact that conversations with Gemini Ultra may be processed by human reviewers, which is an important ethical consideration for users' privacy. This is a point that is less emphasized in other platforms like Chat GPT.

  • What is the current accessibility of Gemini Ultra for different regions and languages?

    -As of the speaker's experience, the mobile app for Gemini Ultra is only available in English in the USA, and the image generation capacity is not available in Europe, indicating some limitations in its current accessibility.

Outlines

00:00

🤖 Gemini Ultra: Initial Impressions and Tests

The video starts with the presenter's enthusiasm for Gemini Ultra, mentioning their immediate subscription and extensive testing across various domains. The presenter shares surprising results, including a comparison with Google's GPT-4, and discusses the potential future evolution of Gemini Ultra. They also mention an upcoming chat with the founder of Perplexity AI, a company considered a contender against Google. The video highlights a statement from Demis Hassabis, the founder of DeepMind, about Gemini's preference in chatbot evaluations, though the presenter notes the lack of data to support this claim.

05:02

🚀 Gemini Ultra's Performance and Integration

The presenter evaluates Gemini Ultra's speed, its lack of a message cap, and its performance on mathematical reasoning tasks, comparing it favorably to GPT-4. They also discuss the integration of Gemini with other Google apps, such as YouTube and Google Maps, noting inaccuracies in the AI's responses. The presenter emphasizes the importance of testing Gemini Ultra within the two-month free trial to compare it with GPT-4. They also touch on the pricing model, highlighting the additional benefits of Google One Premium when subscribing to Gemini Ultra.

10:03

📈 Analyzing Gemini Ultra's Capabilities and Limitations

The video continues with an exploration of Gemini Ultra's capabilities in handling logic questions, its performance in image analysis, and its sensitivity to faces in images. The presenter demonstrates how to bypass certain limitations, such as analyzing memes or handling non-English queries. They also discuss the AI's performance in code debugging and its failure to correctly interpret a transparent bag filled with popcorn instead of chocolate. The presenter cautions against relying solely on benchmarks and emphasizes the need for critical evaluation of AI performance.

15:03

🌟 Future Prospects of Gemini Ultra and Market Pressure

The presenter speculates on the future improvements of Gemini Ultra, mentioning potential integrations with advanced systems like Alpha Code 2 and the Alpha Geometry system. They discuss the pressure on Google to release new AI models, given the departure of employees to form startups. The presenter also addresses the limitations of Gemini Ultra in educational applications, such as creating high school quizzes, and suggests that it may not yet be ready for prime time in education. They end with a call for viewer comments on their first impressions of Gemini Ultra and a thank you note for watching the video.

Mindmap

Keywords

💡Gemini Ultra

Gemini Ultra is a chatbot developed by Google that is being compared to GPT 4 in the video. It is presented as a potentially powerful tool that is sensitive to user inputs and is expected to evolve over time. The video discusses its performance in various tests, its integration with other Google apps, and its pricing model. It is a central theme as the video provides a comprehensive review of its capabilities and potential.

💡Integration

Integration refers to how well Gemini Ultra works when combined with other Google applications, such as YouTube and Google Maps. The video tests this by asking Gemini Ultra to access content from these platforms. The concept is important as it speaks to the seamlessness and utility of Gemini Ultra within the broader Google ecosystem.

💡Free trial

A free trial is a period during which users can use Gemini Ultra without charge. The video mentions a 2-month free trial as a benefit for users to test the service. This concept is significant as it lowers the barrier for users to try out the product and assess its value before making a financial commitment.

💡Price comparison

Price comparison involves evaluating the cost of Gemini Ultra against its competitor, GPT 4. The video discusses the pricing structure, including the inclusion of Google One Premium benefits with Gemini Ultra. This is a key consideration for potential users deciding which AI service offers better value for money.

💡Sensitivity to prompts

Sensitivity to prompts refers to how accurately and effectively Gemini Ultra responds to specific user inputs. The video highlights that sometimes the chatbot requires clear and direct prompts to provide accurate information. This is a critical aspect as it affects the user experience and the chatbot's utility.

💡Jailbreaking

Jailbreaking, in the context of the video, refers to the ability to bypass the chatbot's safeguards to get it to perform tasks it's programmed to avoid, such as providing instructions for illegal activities. The video demonstrates that certain queries in non-English languages can still trigger responses that should be restricted. This is an important issue as it relates to the ethical use and control of advanced AI technology.

💡Benchmarks

Benchmarks are standard tests or comparisons used to evaluate the performance of a system, like Gemini Ultra. The video discusses the need to look beyond official benchmarks when assessing the capabilities of AI. This concept is important as it emphasizes the value of real-world testing and user experience over theoretical performance metrics.

💡Human reviewers

Human reviewers are individuals who process and potentially read user conversations with AI systems like Gemini Ultra. The video notes that Google is upfront about conversations being reviewed by humans, which is a significant privacy consideration for users concerned about their data and interactions with AI.

💡Alpha code 2

Alpha code 2 is a system developed by Google that achieves high scores in coding contests when a human is in the loop. The video suggests that integrating Alpha code 2 into Gemini models could significantly improve its performance in coding tasks. This is a noteworthy development as it could enhance the utility of Gemini Ultra for programming and software development.

💡Educational application

The educational application of Gemini Ultra is explored through a test where it is asked to create a high school probability quiz. The video finds that while it performed adequately, there were errors in the quiz it generated. This is significant as it speaks to the potential and limitations of using AI in educational settings.

💡AI insiders

AI insiders refers to a community or group of professionals in the field of AI, including those from Google, who share tips, best practices, and network with each other. The video mentions an expansion of the AI insiders' Discord channel, indicating a growing community of experts contributing to the field. This concept is relevant as it highlights the collaborative nature of AI development and the sharing of knowledge.

Highlights

Gemini Ultra has been tested across various domains, with results that may interest even Google.

Gemini Ultra was evaluated as the most preferred chatbot in blind tests by third-party evaluators, although no data was provided to back this claim.

Gemini Ultra's integration with Google apps like YouTube and Google Maps was tested, with mixed results.

Gemini Advanced offers a 2-month free trial, allowing users to compare it with GPT 4 before deciding on a subscription.

Price comparison between GPT 4 and Gemini Advanced shows that Gemini comes with additional benefits like Google One Premium.

Gemini Ultra provided correct answers to a logical question about car ownership, unlike GPT 4 which misunderstood the scenario.

Gemini Ultra was found to be faster than GPT 4 and had no message cap in the tests conducted.

Gemini Ultra demonstrated the ability to correctly answer a mathematical reasoning question, while GPT 4 struggled.

When analyzing images, Gemini Ultra required specific prompting to provide accurate information, unlike GPT 4 which was more straightforward.

Gemini Ultra showed sensitivity towards faces in images, requiring users to edit the image before providing certain information.

Despite delays, Gemini Ultra still faces issues with non-English queries that could potentially bypass its safeguards.

In code debugging tests, Gemini Ultra made mistakes, while GPT 4 corrected the code correctly on the first attempt.

Gemini Ultra's performance in education-related tasks was found to be lacking, with incorrect answers provided in a probability quiz.

Google is transparent about human reviewers processing conversations on Gemini, unlike some other platforms.

Future improvements for Gemini Ultra include the integration of Alpha code 2 and the alpha geometry system, which could significantly enhance its capabilities.

The pressure on Google to release new AI models is leading to a potential increase in startups formed by former Google employees.

Gemini Ultra's current performance does not yet justify a switch from GPT 4, according to the reviewer's tests and analysis.

The reviewer maintains a subscription to both Gemini Ultra and GPT 4 for continued analysis and comparison.

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