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● Google’s AI Earthquake

2024 Google I/O, Revolution in the Era of Generative AI – BO3, Agent, MCP, Hyper-Personalization, and a Comprehensive Summary of New Models That Overwhelm in Speed and Price

1. Summary of Key Issues Covered in This Article

– Summarizes how Google’s new model BO3 and unprecedented innovations in generative AI services have changed.
– Explains the real highlights of Google’s announcement, including next-generation AI agents, agent-to-agent (A2A) communication, and MCPs, in an easy-to-understand and concrete manner.
– Analyzes use case-based examples of hyper-personalization features in everyday life and how they can be used in real work/daily life.
– Provides a detailed analysis of the performance, speed, price, and actual market impact of the new Gemini 2.5% and Flash, DeepC, and Diffusion models, centered on data.
– Forecasts innovative application areas such as education, translation, and XR (extended reality), along with future changes based on the latest trends.

2. Google BO3 and Generative AI New Models – Background and Core Technologies

– Google’s BO3 is the latest AI language model unveiled at this year’s Google I/O, marking the official declaration of competition with OpenAI in the generative AI market.
– The core of BO3 lies in multimodal processing of text, images, and audio, as well as the ‘Agent’ function that allows AI to manipulate actual software.
– AI Agents go a step further than simple content generation, autonomously performing tasks within the computer. (e.g., email search → execution, automation of schedule/app management, etc.)

3. AI Agent·A2A·MCP – Collaboration·Standards·Real-Life Utilization

– What is an Agent: An AI assistant that goes beyond simple text/image generation and automatically executes tasks when we give it difficult commands.
– What is ‘Agent-to-Agent (A2A)’: Enables different AIs to collaborate on tasks using standard protocols. In other words, multiple AIs can communicate and cooperate to handle tasks faster and more accurately than humans.
– What is MCP: The ability for AI to connect and manipulate various software (Slack, Photoshop, Google Sheets, etc.) as a work tool, playing a key role in actual productivity automation and innovation.
– Real-life examples: Latest demonstrations where AI handles real estate app, calendar booking, Photoshop photo editing, and even Instagram feed & comments/likes.

4. Hyper-Personalization Revolution – Everything in Data, Analysis, and Recommendations

– Google AI can fuse and analyze all of your Google Drive, Sheets, Mail, and YouTube history to understand usage patterns and provide hyper-customized services just for you.
– Examples: Automatically recommend travel plans based on personal schedules/past conversations, as well as completely personalized online shopping/advertising/content. Virtual clothing fitting based on selfies, automatic generation of shopping lists based on behavior prediction.
– Creating a completely new ecosystem on a data scale that only a few companies such as Google and Apple can achieve.

5. AI-ization of Google Search – Paradigm Shift to AI-Centered UI

– In the future, Google will go beyond being a search engine, with the AI Agent mode becoming the main screen. AI will be responsible for summarizing, recommending, and executing tasks according to user queries.
– Differentiation from competitors (Perplexity, ChatGPT, etc.): Superior in data source aggregation, execution capabilities, speed, and user-friendliness.

6. Gemini 2.5, Flash, DeepC/Diffusion – Performance/Speed/Price Destruction

– Gemini 2.5% and Flash/DeepC new models, occupying the top ranks in standard benchmarks: USMA (proof reasoning) 49.4%, coding benchmark exceeding 80%, MMU multimodal score of 84.
– Speed/Price aspects: Flash/Diffusion offer real-time inference in less than 0.1 seconds, with overwhelmingly lower prices at 1/10 to 1/100. As a result, token production and user growth rates are exponentially increasing.
– The entire Gemini family occupies the upper right corner of the Pareto frontier, setting new market records for both performance and economic efficiency.

7. AI Real-Time Translation·Education·XR(Extended Reality) – Expanding Future Application Areas

– Real-time AI Translation: Instantly translates multiple languages with almost no delay in video conferences, eliminating language barriers.
– Education Innovation: ‘Project Astra’ – AI provides real-time interactive learning through camera/screen sharing, offering step-by-step guidance for problem-solving like a personalized teacher for each student.
– XR·AR (Extended/Augmented Reality): Expansion of mixed reality experiences combining reality + digital by unveiling Samsung-Google collaboration XR devices (AR glasses, headsets, etc.). Built-in AI translation/assistant, expected to lead the next generation of smart devices.

8. Prospects and Implications – Are We Entering an Era of 4th Generation Devices and Economic Structure/Industry Transition?

– From simple search/content consumption to a completely new AI agent-based ecosystem, forecasting a restructuring of work methods and economic direction within 10 years.
– Market opportunities/threats simultaneously increase due to AI-based hyper-personalization services/automation, and XR-based reality fusion devices. Strategic response is essential for both companies and individuals.
– Economic/future technology keywords such as AI, generative AI, artificial intelligence, hyper-personalization, and XR will continue to be updated, with endless possibilities for utilization.

2024 Google I/O Key Summary – Intensifying competition in the generative AI market with the world’s first BO3 new model announcement. Significantly enhanced automation and collaboration with AI Agents·A2A·MCP, and hyper-personalization features. Gemini new models demonstrate overwhelming superiority in performance, speed, and price. Signs of complete innovation in life/industry, from real-time translation to education and XR devices. The future that changes work/consumption patterns, the AI-centric economic environment begins in earnest.

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