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Gemini di Google conquers Pokémon Blu: the Ai to the test of the classics
Google's Gemini 2.5 Pro completed Pokémon Blu with minimal developer input, while Anthropic's Claude 3.7 Sonnet tackled Pokémon Rosso, showing notable progress but faced critical gameplay challenges. Both AI systems highlight the current limits in decision-making autonomy, transparency through Twitch sessions, and the necessity for future advancements in AI capabilities.
Key points
- Gemini 2.5 Pro completed Pokémon Blu through support from an independent engineer.
- Claude 3.7 Sonnet tackled Pokémon Rosso, achieving three medals, indicating improved capabilities.
- Both AI models encountered specific gameplay challenges reflecting their limits in decision-making and memory.
- Live Twitch streaming allowed public engagement and transparency into AI decision-making processes.
- Gemini's adaptation was facilitated by agentic 'harnesses' providing contextual inputs to navigate the game.
Why it matters
- The rise of AI in gaming mirrors trends in 2025, where AI is increasingly integrated into developed cognitive tasks beyond traditional applications.
- Current developments in AI-driven decision-making recall historical advancements in game AI, establishing benchmarks in performance and learning.
- The use of classic games as benchmarks indicates an increasing focus on transparency and user engagement in AI developments.
Both Gemini and Claude's experiences reveal significant strides in AI, yet underscore the pressing need for advancements in autonomy and strategic planning, shaping future directions in AI technology.