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According to Demis Hassabis (Google DeepMind founder), "Continual Learning" from experience is a major missing capability for achieving AGI.

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Rohan Paul

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19,523 просмотров • 5 месяцев назад •via X (Twitter)

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Demis Hassabis told world leaders: AGI will be 10x the impact of the industrial revolution at 10x the speed. So I used Perplexity computer to create a graph and visualized what it means for global GDP. No one is ready.
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Demis Hassabis told world leaders: AGI will be 10x the impact of the industrial revolution at 10x the speed. So I used Perplexity computer to create a graph and visualized what it means for global GDP. No one is ready.

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Okay, this is seriously cool. A team from Google DeepMind, including DeepMind Cofounder Shane Legg, published a paper "From AGI to ASI". In the paper, they include instructions for an AI agent to read along with you. You can open the paper in Codex's in-app browser and have GPT-5.5 read it with you and explain all the concepts. This is the future. AI agents will be part of the target audience, and help us to understand anything we want.
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Okay, this is seriously cool. A team from Google DeepMind, including DeepMind Cofounder Shane Legg, published a paper "From AGI to ASI". In the paper, they include instructions for an AI agent to read along with you. You can open the paper in Codex's in-app browser and have GPT-5.5 read it with you and explain all the concepts. This is the future. AI agents will be part of the target audience, and help us to understand anything we want.

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Holy moly, another big one by Google DeepMind! "Our SIMA 2 research offers a strong path towards applications in robotics and another step towards AGI in the real world" Google DeepMind just unveiled SIMA 2 - an AI agent that doesn’t just follow instructions but thinks and reasons with you. The first version, SIMA 1, learned to perform over 600 basic actions in 3D environments. SIMA 2 takes a leap forward: it understands goals, holds conversations, and learns from experience. This marks a shift from “Do this” to “Let’s figure out how to achieve this together.” A thread with examples and how it works🧵:
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Holy moly, another big one by Google DeepMind! "Our SIMA 2 research offers a strong path towards applications in robotics and another step towards AGI in the real world" Google DeepMind just unveiled SIMA 2 - an AI agent that doesn’t just follow instructions but thinks and reasons with you. The first version, SIMA 1, learned to perform over 600 basic actions in 3D environments. SIMA 2 takes a leap forward: it understands goals, holds conversations, and learns from experience. This marks a shift from “Do this” to “Let’s figure out how to achieve this together.” A thread with examples and how it works🧵:

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Robot paper of the day: RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning UCL + Google DeepMind + Intrinsic built an AI planner that choreographs teams of arms to work in tight spaces without collisions—planning in seconds, not days.

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Seedance 2.0 is also quite strong on some visual reasoning tasks — I just told it to place the geometric boards in the right positions. Of courses, it is not perfect l. Image from Google deepmind.
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We're now rolling out interactive images to the Google Gemini for more visual and dynamic learning. It’s designed to help you visually explore complex academic concepts, turning studying from passive viewing into active exploration. Learn more →
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🎉 Congratulations Google DeepMind on the launch of Gemma 3 🎊 Introducing lightweight, multimodal, multilingual models streamlined for optimal performance on all your NVIDIA hardware – from your #datacenter GPUs to Jetson and RTX AI PCs for Windows. ➡️
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