NEW Google Gemini Is Here! Is It Better Than ChatGPT?
TLDRGoogle's new AI model, Gemini Advanced, powered by Gemini Ultra 1.0, is being hailed as the first legitimate competitor to OpenAI's GPT-4. With a more user-friendly interface and integration into Google's ecosystem, it offers features like essay writing and image generation with a unique double-checking mechanism using Google search. While lacking some advanced features of GPT-4, Gemini Advanced is available for a two-month free trial with its AI Premium plan, making it an enticing option for users seeking an alternative to GPT-4.
Takeaways
- 🚀 Google's new AI model, Gemini Ultra (previously known as Gemini Advanced), is a strong competitor to OpenAI's GPT-4, showing comparable or slightly better performance in some benchmarks.
- 📈 Gemini Ultra is part of Google's AI Premium plan, costing $20/month in the US and €22/month in Europe, with availability in 150 countries.
- 🎁 Google is offering a two-month free trial for Gemini Advanced, which can be accessed by subscribing to the AI Premium plan, marking a significant competitive advantage.
- 🔍 Gemini Ultra features an integrated Google search function that double-checks the information provided in its responses, aiming to reduce inaccuracies.
- 📝 The writing style of Gemini Ultra is described as more user-friendly, akin to a bike with training wheels, making it easier for a broader audience to utilize.
- 🖌️ Gemini Ultra lacks certain features present in GPT-4, such as the code interpreter and the more advanced image model, but it is expected that some of these features will be added in the future.
- 🗣️ Gemini Ultra offers a richer interface with options for varying the style, length, and complexity of responses, providing a more interactive user experience.
- 🎧 The model includes voice input and output capabilities, allowing for more natural and fluent conversations compared to text-based interactions.
- 🔄 Gemini Ultra has the potential to integrate with other Google services like Flights, Maps, YouTube, and Workspace, offering a more seamless and comprehensive user experience.
- 🌐 The competition between Google's Gemini Ultra and OpenAI's GPT-4 is expected to drive innovation and the development of new features in the AI space.
Q & A
What is Google's Gemini Ultra, and how does it relate to the previously known Gemini Advanced?
-Google's Gemini Ultra is the latest AI model released by Google, previously referred to as Gemini Advanced. It is the first significant competitor to OpenAI's GPT-4, offering performance that benchmarks suggest is on par with, or slightly better than, GPT-4.
How does Gemini Advanced differ from GPT-4 in terms of user experience?
-Gemini Advanced is designed to be more user-friendly, akin to a bike with training wheels, making it easier for users to get the most out of the AI without requiring extensive experience. It also provides helpful prompts and guidance, acting more like a tutor than GPT-4.
What is the cost of accessing Gemini Advanced, and is there a free trial available?
-Access to Gemini Advanced is obtained by subscribing to Google's AI Premium plan, which costs $20 per month in the US and €22 per month in Europe. Google is currently offering a two-month free trial to attract users.
How does Gemini Advanced integrate with other Google services?
-Gemini Advanced integrates seamlessly with various Google services such as Google Flights, Google Maps, YouTube, and Workspace, enhancing the functionality and user experience by providing direct assistance and data retrieval from these platforms.
What are some of the features that Gemini Advanced lacks compared to GPT-4?
-Gemini Advanced currently lacks certain features such as the code interpreter and chatbot capabilities that were present in GPT-4. Additionally, the image generation model is different and not as advanced as OpenAI's DALL-E.
How does Gemini Advanced handle the context length in conversations?
-The context length of Gemini Advanced is similar to GPT-4, handling approximately 4,100 tokens, which is adequate for most complex conversations and tasks but may limit very extended interactions.
What is the significance of Gemini Advanced's ability to double-check answers using Google Search?
-The double-checking feature enhances the reliability of the information provided by Gemini Advanced by cross-referencing its responses with data from Google Search, reducing the potential for inaccuracies or 'hallucinations' that can occur with AI-generated content.
How does Gemini Advanced compare to GPT-4 in terms of writing style and output quality?
-While Gemini Advanced produces high-quality output comparable to GPT-4, it has a slightly different writing style that may feel more guided and supportive. It also provides additional context and guidance within its responses, which can be beneficial for learning purposes.
What are the system requirements or account types compatible with Gemini Advanced?
-Gemini Advanced requires a Google account for sign-up and subscription to the AI Premium plan. It has been reported that signing up with a Google Workspace account linked to AI Advantage-related emails may not be supported.
What direction is OpenAI likely to take in response to the competition from Gemini Advanced?
-OpenAI is expected to focus on developing autonomous agents and further integrating GPT-4 into its ecosystem of services. This direction aims to create more advanced and independent AI functionalities that can perform tasks autonomously, beyond just providing information or assistance.
What is the significance of the competition between Gemini Advanced and GPT-4 for the AI industry?
-The competition between Gemini Advanced and GPT-4 is significant as it drives innovation in the AI industry. It encourages both entities to improve their models, develop new features, and provide better services, ultimately benefiting the end-users and the broader AI community.
Outlines
🚀 Introduction to Google's Gemini Ultra
This paragraph introduces Google's latest AI model, Gemini Ultra, which was previously referred to as Gemini Advanced. It is considered the first legitimate competitor to OpenAI's GPT-4, with some benchmarks suggesting it performs even slightly better. The speaker discusses the questions raised by this new model, such as its practical superiority over GPT-4, cost, availability, and specific use cases. They share their experience with the model and the efforts made by their team to gather information, emphasizing the shift from Google's previous model, B, to the new Gemini Advanced powered by Gemini Ultra 1.0.
💰 Pricing, Accessibility, and Features of Gemini Advanced
In this paragraph, the speaker delves into the pricing and accessibility of Gemini Advanced. It is available through Google's AI Premium plan, costing $20 per month in the US and €22 in Europe, with access in 150 countries. Despite the model's popularity causing some bottlenecks in sign-ups, the speaker advises patience. They mention a significant advantage of Gemini Advanced, which is offering two free months of access, unlike OpenAI's models. The sign-up process is straightforward, but the speaker notes that it does not work with work accounts linked to Google Workspace. The paragraph also discusses the user-friendliness of Gemini Advanced, comparing it to a bike with training wheels, and highlights its speed and writing style. The speaker references an article by Ethan Mik for a deeper understanding of the model's emergent behaviors.
🔍 Comparative Analysis and Future Directions
The speaker compares Gemini Advanced with GPT-4, noting similarities but also highlighting unique features of the former. They discuss the new double-checking feature that uses Google search to verify information, the richer interface with more options for style adjustments, and the built-in voice input/output functionality. The speaker expresses excitement about the potential for competition to drive innovation in AI. However, they also point out the absence of certain features in Gemini Advanced, such as the code interpreter and GPTs bots, and discuss the limitations in context length. The speaker concludes by reflecting on the integration of Gemini Advanced with Google's ecosystem and the potential for future development in the direction of autonomous agents and tutor-like assistance.
Mindmap
Keywords
💡Gemini Ultra
💡GPT-4
💡AI Premium Plan
💡User Friendliness
💡Benchmarks
💡Integration
💡Competition
💡Emergent Behaviors
💡Context Length
💡Double-checking
💡Voice Interface
Highlights
Google's new AI model, Gemini Ultra (referred to as Gemini Advanced), is a strong competitor to OpenAI's GPT-4.
Gemini Advanced is the first model that not only performs as well as GPT-4 but, according to some benchmarks, slightly better.
The Gemini Advanced model is powered by the Gemini Ultra 1.0, which was announced at the end of 2023.
Access to Gemini Advanced is provided through a subscription to Google's AI Premium plan.
The cost for the AI Premium plan is $20 per month in the US and €22 in Europe, with availability in 150 countries.
Google is offering a two-month free trial for Gemini Advanced, a competitive advantage over OpenAI's offerings.
The interface of Gemini Advanced is more user-friendly and offers more features compared to GPT-4.
Gemini Advanced provides a helpful preface to its responses, acting as a guide for users.
The model includes a feature that double-checks answers using Google search, enhancing the reliability of its outputs.
Gemini Advanced's essay writing speed is impressive, surpassing that of GPT-4.
The writing style of Gemini Advanced feels more approachable and beginner-friendly than GPT-4.
Gemini Advanced lacks certain features available in GPT-4, such as the code interpreter and chatbot capabilities.
The context length of Gemini Advanced is similar to GPT-4, around 4,100 tokens.
Gemini Advanced integrates well with complex prompts, showing no逊色 to GPT-4 in handling intricate tasks.
Gemini Advanced is integrated into various Google services, enhancing its practical applications.
The competition between Gemini Advanced and GPT-4 is expected to drive innovation in the AI space.
Gemini Advanced is designed to be more of a tutor than an assistant, aiming to help users learn and plan more effectively.
OpenAI is moving towards developing autonomous agents, while Google focuses on enhancing user assistance and learning.