Google's New AI Search is Insane: The Ultimate Answer to ChatGPT

AI Revolution
3 Jun 202309:05

TLDRGoogle has unveiled a transformative AI-powered search experience called Search Generative Experience (SGE), aiming to revolutionize online search by incorporating conversational, contextual, and creative AI-driven features. SGE allows for natural language queries, personalized results based on user context, and the generation of new content. Accessible through Google's Search Labs and Performance Max, the technology has sparked competition, with startups like Vectra offering hybrid search alternatives. The evolution from information retrieval to action engines signifies a significant shift in how users interact with the internet.

Takeaways

  • 🚀 Google has introduced a new AI-powered search experience called Search Generative Experience (SGE), marking a significant shift in search technology.
  • 🌟 SGE aims to enhance search by making it more conversational, contextual, and creative, utilizing generative AI to provide interactive and engaging results.
  • 🗣️ Users can have natural language conversations with Google to get answers to their queries, making the search process more intuitive and less keyword-focused.
  • 📍 SGE's contextual search feature tailors results based on user's location, preferences, history, and other factors, offering more personalized experiences.
  • 🎨 The creative aspect of SGE allows Google to generate new content or data based on user queries, such as creating images of products or writing poems.
  • 🔍 Access to SGE is currently available through Search Labs, an invite-only program where users can try out new features before they are publicly released.
  • 💡 Performance Max is another way to access SGE, designed for advertisers to reach customers across Google's platforms using AI-generated custom assets.
  • 🏢 Vectra, a startup by former Google engineers, is positioning itself as a competitor to Google's SGE with its hybrid search and language-agnostic platform.
  • 📈 Microsoft and Elasticsearch are also integrating generative AI into their search experiences, with Bing Answers and Elasticsearch Generative Search (EGS) being notable examples.
  • 📊 The AI search space is becoming increasingly competitive, with companies like Google, Vectra, Microsoft, and Elasticsearch vying for market share and user experience supremacy.
  • 🌐 The evolution of search engines from information retrieval to answer engines and now action engines reflects a continuous journey towards more personalized and AI-driven internet experiences.

Q & A

  • What is Google's new AI search feature called?

    -Google's new AI search feature is called Search Generative Experience (SGE).

  • How does Google's SGE aim to enhance the search experience?

    -SGE aims to enhance the search experience by making it more conversational, contextual, and creative, allowing users to interact with Google using natural language and providing more personalized and engaging results.

  • What is the significance of Google announcing SGE at its annual developer conference Google I/O in May 2023?

    -The announcement of SGE at Google I/O signifies that it is a major innovation in the field of AI and search technology, generating excitement and interest among AI and tech enthusiasts and experts.

  • How does the conversational feature of SGE change the way users interact with Google?

    -The conversational feature allows users to chat with Google using natural language, eliminating the need to type specific keywords or phrases. Users can ask questions and follow up with additional queries for a more intuitive and natural search experience.

  • How does SGE provide more contextual search results?

    -SGE uses factors like user location, preferences, history, and other contextual data to provide more relevant and personalized search results, understanding the context of the user's query.

  • What is the creative aspect of SGE and how does it work?

    -The creative aspect of SGE involves using generative AI to create new content or data based on user queries or inputs. For example, it can generate images of products or write a poem tailored to the user's preferences and mood.

  • How can users currently access Google's SGE?

    -Users can access SGE through Search Labs, an invite-only program where users can try out new features before they are widely available, or through Performance Max, a campaign type in Google Ads that uses SGE to generate custom assets for advertisers.

  • What is Vectra and how does it compete with Google's SGE?

    -Vectra is a startup offering a generative AI conversational search platform. It differentiates itself from Google by using hybrid search, grounded generation, and supporting queries and data in any language. It also prioritizes user privacy by not storing or sharing personal data.

  • How are other tech companies like Microsoft and Elasticsearch integrating generative AI into their search experiences?

    -Microsoft has introduced features like Bing Answers, Bing Image Generator, and Bing Content Creator that use generative AI to provide direct answers, create images, and write content. Elasticsearch has launched Elasticsearch Generative Search (EGS), allowing developers to use generative AI models to build search experiences.

  • What are the challenges faced by action engines like Google's SGE?

    -Action engines face challenges related to trust in AI-generated content and finding a balance between creativity and realism to ensure the relevance and accuracy of the generated content.

  • How have search engines evolved over time?

    -Search engines have evolved from information retrieval engines in the 1990s and early 2000s, to answer engines in the late 2000s and early 2010s, and now to action engines powered by advanced AI techniques that can generate new content based on user queries.

Outlines

00:00

🚀 Google's AI-Powered Search Revolution

Google has unveiled a new AI-powered search technology that promises to transform our online interactions and information retrieval. This innovative search, known as Search Generative Experience (SGE), leverages generative AI to deliver more interactive, engaging, and creative search results. Unveiled at Google I/O 2023, SGE aims to make search more conversational, allowing users to query Google using natural language and receive contextually relevant, personalized results. Additionally, SGE's generative capabilities enable Google to create new content tailored to user preferences, marking a significant shift from traditional search engines to action engines that generate content based on user queries.

05:04

🌟 Rising Competitors in AI Search Space

The AI search market is becoming increasingly competitive with several players offering innovative solutions. Vectara, a startup founded by former Google engineers, positions itself as a disruptor with its hybrid search approach, combining semantic and Boolean search methods, and emphasizing user privacy. Other tech giants like Microsoft, with its Bing search engine, and Elasticsearch, a popular open-source platform, are also integrating generative AI to enhance their search experiences. These companies are vying for a share of a market that is expected to grow significantly, with Google's SGE potentially adding substantial revenue by 2025. The evolution of search engines from information retrieval to answer engines and now action engines reflects the ongoing technological advancements and the industry's response to user needs.

Mindmap

Keywords

💡AI-powered search

AI-powered search refers to the integration of artificial intelligence into search engines to enhance the user experience by providing more relevant, personalized, and interactive search results. In the context of the video, Google's new AI search is a significant advancement in this area, aiming to revolutionize the way users find information online by offering conversational, contextual, and creative search experiences.

💡Generative AI

Generative AI is a type of artificial intelligence that is capable of creating new content or data from scratch, based on existing data or inputs. It is used in the context of the video to describe how Google's new search engine can produce creative results, such as generating images of products or writing poems, tailored to user inputs.

💡Conversational search

Conversational search is a feature that allows users to interact with a search engine through natural language, as if they were having a conversation. This type of search makes the process more intuitive and user-friendly by eliminating the need to type specific keywords or phrases. The video highlights how Google's AI search enables users to chat with Google using natural language to get answers to their queries.

💡Contextual search

Contextual search refers to the ability of a search engine to understand the context of a user's query and provide results that are more relevant and personalized based on factors like location, preferences, history, and other contextual data. In the video, Google's new AI search is described as making search more contextual, meaning it can provide weather forecasts based on the user's current location or recommend nearby florists based on their location and availability.

💡Search Generative Experience (SGE)

Search Generative Experience, or SGE, is a term used by Google to describe a collection of AI-driven features that aim to make search more conversational, contextual, and creative. SGE is the result of years of research and development in generative AI and is designed to revolutionize the way users interact with search engines by providing more engaging and personalized experiences.

💡Search Labs

Search Labs is a program introduced by Google that allows users to try out new features before they are made available to the general public. It is a platform where users can enable or disable experiments and use them by adding a hashtag to their search query. As of the video's recording, Search Labs is invite-only but is expected to expand access in the future.

💡Performance Max

Performance Max is a campaign type within Google Ads designed for advertisers. It utilizes AI to help them reach customers across Google's platforms by generating custom assets based on the campaign information and assets provided. Performance Max optimizes ads and shows them to relevant customers, leveraging the power of AI to enhance advertising effectiveness.

💡Vectra

Vectra is a startup company that positions itself as a competitor to Google's AI search. It offers a generative AI conversational search platform that claims to provide better results through its hybrid search technology, combining semantic search and Boolean exact match. Vectra emphasizes user privacy and supports queries and data in any language, offering cross-language search results.

💡Information retrieval engines

Information retrieval engines are the early search engines that appeared in the 1990s and early 2000s. They provided users with a list of links based on keywords and links. These engines had limitations as they relied on users typing specific keywords and often returned irrelevant results.

💡Answer engines

Answer engines, such as Google and Bing, emerged in the late 2000s and early 2010s, using AI techniques to provide direct answers to user queries without requiring a visit to external websites. While these engines improved upon information retrieval engines, they still had limitations, such as not fully understanding emotions or preferences behind queries.

💡Action engines

Action engines are the latest phase in search engine evolution, powered by advanced AI techniques. These engines, like chat GPT and Dally, can generate new content based on user queries using conversational interfaces. They offer personalized results tailored to users' style preferences and current trends but face challenges regarding trust in AI-generated content and balancing creativity with realism.

Highlights

Google announces a new era of AI-powered search.

Google's AI search aims to change how we find information, shop online, and interact with the web.

Google is the undisputed leader in search engine technology, handling billions of queries daily.

Google incorporates AI into its search engine to benefit from the trend of AI chatbots.

Generative AI is used by Google to create new content or data from scratch, enhancing the search experience.

Search Generative Experience (SGE) is a collection of AI-driven features for more conversational, contextual, and creative search.

SGE was announced at Google I/O in May 2023, generating hype among AI and tech enthusiasts.

SGE makes search more conversational, allowing natural language queries and follow-up questions.

Search becomes more contextual with personalized results based on location, preferences, and history.

SGE's creative feature allows Google to generate new content or data based on user queries.

Access to SGE is currently through Search Labs or Performance Max.

Search Labs is an invite-only program for trying out new features before they're publicly available.

Performance Max is a campaign type in Google Ads that uses SGE to generate custom assets for advertisers.

Vectra is a startup competitor that offers a generative AI conversational search platform.

Vectra uses hybrid search and grounded generation for more accurate and privacy-focused results.

Microsoft and Elasticsearch are also integrating generative AI into their search experiences.

搜索引擎经历了从信息检索引擎、答案引擎到行动引擎的三个主要阶段。

行动引擎如chat GPT和Dally可以基于用户查询生成新内容，提供个性化结果。

行动引擎面临的挑战包括对AI生成内容的信任问题，以及在创意与现实之间找到平衡。

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