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This is dots3-note preview from dots studio in a puzzle game it hasn't seen before. No game-specific prompt. It has to work out the controls, objective and new mechanics from the screen. It starts pressing buttons. Open-weight: 280B total / 16B active, 512K context.

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Khushboo Verma

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37,624 просмотров • 3 дней назад •via X (Twitter)

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A road trip plan is never just a simple route. Learn more: Api free now: Weather shifts. Highways close. Strategies must adapt. Real-world challenges demand AI that thrives in uncertainty. This is exactly what dots studio's dots3-note preview is designed to solve. It is an open-weight multimodal model boasting 280B total parameters, 16B active parameters, and a 512K context window. The true differentiator is TEMPO. During long-horizon tasks, agents require more than just memory — they must constantly verify they are still tracking toward the correct objective. Leveraging an Actor-Critic approach, TEMPO critically evaluates choices mid-action, course-correcting strategies long before the task concludes. Combined with: 🌍 Multimodal understanding — tackling real-world problems by processing text, images, and audio as one cohesive input. 🌱 Learning in deployment — adapting to unfamiliar environments through ongoing exploration and active feedback. From mapping a dynamic journey to navigating intricate problems, dots3-note preview marks a new era of AI agency. This exact vision fuels rednote, showcasing raw reasoning capabilities that hit IMO gold medal-level performance.
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