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DeepMind SIMA: one AI, 9 games, 600 tasks, vision+language ONLY

DeepMind releases SIMA, a generalist AI agent tested across 9 games and 600 tasks using only screenshots and natural language, reaching 34% task success versus 60% for humans.

Mar 14 · · primary fetch1 sourceupdated Mar 14 ·

DeepMind SIMA is a generalist AI agent for 3D virtual environments evaluated on 600 tasks across 9 games using only screengrabs and natural language instructions, achieving 34% success compared to humans' 60%. The model uses a multimodal Transformer architecture. Andrej Karpathy outlines AI autonomy progression in software engineering, while Arav Srinivas praises Cognition Labs' AI agent demo. François Chollet expresses skepticism about automating software engineering fully.

Yann LeCun suggests moving away from generative models and reinforcement learning towards human-level AI. Meta's Llama-3 training infrastructure with 24k H100 Cluster Pods is shared by Soumith Chintala and Yann LeCun. Deepgram's Aura offers low-latency speech APIs, and Modal Labs' Devin AI demonstrates document navigation and interaction with ComfyUI. Memes and humor circulate in the AI community.

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  1. news.smol.aiDeepMind SIMA: one AI, 9 games, 600 tasks, vision+language ONLYprimary