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DeeperML
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Google's powerful AI model, Gemini 2.5 Pro, has achieved a significant milestone by completing the classic Game Boy game Pokémon Blue. This accomplishment, spearheaded by software engineer Joel Z, demonstrates the AI's enhanced reasoning and problem-solving abilities. Google CEO Sundar Pichai celebrated the achievement online, highlighting it as a substantial win for AI development. The project showcases how AI can learn to handle complex tasks, requiring long-term planning, goal tracking, and visual navigation, which are vital components in the pursuit of general artificial intelligence.
Joel Z facilitated Gemini's gameplay over several months, livestreaming the AI's progress. While Joel is not affiliated with Google, his efforts were supported by the company's leadership. To enable Gemini to navigate the game, Joel used an emulator, mGBA, to feed screenshots and game data, like character position and map layout. He also incorporated smaller AI helpers, like a "Pathfinder" and a "Boulder Puzzle Solver," to tackle particularly challenging segments. These sub-agents, also versions of Gemini, were deployed strategically by the AI to manage complex situations, showcasing its ability to differentiate between routine and complicated tasks.
Google is also experimenting with transforming its search engine into a Gemini-powered chatbot via an AI Mode. This new feature, currently being tested with a small percentage of U.S. users, delivers conversational answers generated from Google's vast index, effectively turning Search into an answer engine. Instead of a list of links, AI Mode provides rich, visual summaries and remembers prior queries, directly competing with the search features of Perplexity and ChatGPT. While this shift could potentially impact organic SEO tactics, it signifies Google's commitment to integrating AI more deeply into its core products, offering users a more intuitive and informative search experience.
ImgSrc: cdn.mos.cms.fut
References :
Joel Z facilitated Gemini's gameplay over several months, livestreaming the AI's progress. While Joel is not affiliated with Google, his efforts were supported by the company's leadership. To enable Gemini to navigate the game, Joel used an emulator, mGBA, to feed screenshots and game data, like character position and map layout. He also incorporated smaller AI helpers, like a "Pathfinder" and a "Boulder Puzzle Solver," to tackle particularly challenging segments. These sub-agents, also versions of Gemini, were deployed strategically by the AI to manage complex situations, showcasing its ability to differentiate between routine and complicated tasks.
Google is also experimenting with transforming its search engine into a Gemini-powered chatbot via an AI Mode. This new feature, currently being tested with a small percentage of U.S. users, delivers conversational answers generated from Google's vast index, effectively turning Search into an answer engine. Instead of a list of links, AI Mode provides rich, visual summaries and remembers prior queries, directly competing with the search features of Perplexity and ChatGPT. While this shift could potentially impact organic SEO tactics, it signifies Google's commitment to integrating AI more deeply into its core products, offering users a more intuitive and informative search experience.
ImgSrc: cdn.mos.cms.fut
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References :
- the-decoder.com: Google's reasoning LLM Gemini 2.5 Pro beats Pokémon Blue with a little help
- thetechbasic.com: Google’s powerful AI model, Gemini 2.5 Pro, has finished playing the old Game Boy game Pokémon Blue.
- www.techradar.com: Google's Gemini AI Is now a Pokémon Master
- THE DECODER: Google's reasoning LLM Gemini 2.5 Pro beats Pokémon Blue with a little help
- The Tech Basic: Google Gemini AI Beats Pokémon Blue With Help and Updates
Classification:
- HashTags: #GoogleAI #Gemini2.5 #AIMode
- Company: Google
- Target: AI Community
- Product: Gemini
- Feature: AI Model Performance
- Type: AI
- Severity: Informative