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Daily AI & Data News Summary - #26 August 2026
🔹 Perplexity launches a fully local AI agent with NVIDIA
Perplexity has introduced Portable Computer, an AI agent platform designed to run locally on NVIDIA DGX Spark and RTX-powered Linux machines. Running agents locally can reduce recurring token costs while giving enterprises greater control over sensitive data, privacy and infrastructure.
🔹 Anthropic gives Claude shared memory across Chat and Cowork
Anthropic is expanding Claude’s memory so information shared in regular conversations can carry into Claude Cowork. This reduces the need to repeatedly explain projects and context, moving Claude closer to a persistent AI collaborator for longer-running professional workflows.
🔹 New AI model targets physical-world problems beyond traditional Transformers
Researchers Anima Anandkumar and Benedikt Jenik have unveiled a physics-focused AI model built around neural operators rather than the Transformer architecture behind most LLMs. The system is designed to process extremely large scientific datasets and could have applications in robotics, chip design, weather prediction and energy.
🔹 Anthropic reportedly sees a $30 trillion-plus AI market opportunity
Anthropic is expected to tell investors that its total addressable market could exceed $30 trillion. While this is a theoretical market-size estimate rather than a revenue forecast, it reflects how broadly AI companies expect intelligent systems and agents to penetrate enterprise software, knowledge work and other industries.
🔹 AI agents get their own web-search infrastructure
Keenable has emerged from stealth with $26 million in seed funding and a web index specifically designed for AI agents. Instead of relying on search infrastructure optimized primarily for humans, the company wants to make web information easier for autonomous agents to retrieve, understand and use while completing tasks.
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Daily AI & Data News Summary - #26 August 2026
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