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Microsoft just dropped FARA-7B and it pushes AI agents into a completely new lane. At the same time, MBZUAI released PAN, a world model that remembers past steps, updates a persistent internal state, and rolls out long simulations that feel continuous instead of reset clips. It uses Qwen2.5-VL for reasoning, a Wan2.1 video decoder, and a chunk-based causal refinement loop that keeps objects stable over long horizons.
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🧠 What You’ll See:
• How Microsoft FARA-7B runs full computer-use tasks locally with tiny token cost
• How MBZUAI’s PAN world model keeps one persistent universe across long action chains
• How Google Gemini’s new interactive images turn static diagrams into tappable study tools
• How Perplexity’s new shopping assistant remembers your habits and steers real purchases
• How Alibaba’s Quark S1 and G1 AI glasses push Qwen into everyday wearable life
🚨 Why It Matters:
AI agents and world models are entering a new phase. FARA-7B and PAN show how fast lightweight, efficient, open research models are catching up to — and sometimes beating — massive proprietary systems built for cloud-level compute.
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Sources
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Microsoft FARA-7B (computer-use model)
https://www.microsoft.com/en-us/research/wp-content/uploads/2025/11/Fara-7B-An-Efficient-Agentic-Model-for-Computer-Use.pdf
MBZUAI PAN (world-model with persistent state)
https://arxiv.org/abs/2511.09057
Google Gemini Interactive Images
https://www.androidauthority.com/gemini-interactive-images-3618646/
Perplexity AI Shopping Assistant
https://www.perplexity.ai/hub/blog/shopping-that-puts-you-first
Alibaba Quark AI Glasses (S1 / G1 launch)
https://finance.yahoo.com/news/alibaba-releases-ai-glasses-rare-075710034.html
#ai #microsoft #fara7b


