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AI news for builders and product teamsUpdated Oct 1, 2026, 02:01 UTC

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Offloaded inference for real-world physical AI robotics

Robots are getting smarter, but how can their hardware match that growth? New Microsoft Research findings show that moving AI inference beyond the robot can improve task success, boost efficiency, and support more advanced physical AI workloads. The post Offloaded inference for real-world physical AI robotics appeared first on Microsoft Research .

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NVIDIA BlogFirst party

Sakeena Fiza Helps NVIDIA Hardware Succeed at Scale

When Sakeena Fiza describes her work as a validation engineer at NVIDIA, she does so in terms more befitting a detective story than a world-class engineering lab. “Validation engineers look in the shadows and shine a light into every corner,” Fiza said. “Every time we get a system, our first thought is: how can it […]

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Graphify: Unifying Codebase Context to Streamline Agentic Software Engineering

Graphify is an open-source tool designed to convert codebases and unstructured data into queryable knowledge graphs. Launched in April 2026, it addresses challenges of multi-file reasoning for AI coding assistants. Recent updates have enhanced parser features and cross-file resolutions. Community feedback indicates a promising architecture but notes integration challenges in daily workflows. By Olimpiu Pop

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The AI Hype Index: AI loves cheating

Brace yourself: It turns out AI is being optimized for cheating. OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test. Next, they solved a prestigious math problem (or just stole from two top mathematicians’ answer sheets). Anthropic’s models have also hacked into other companies’ systems four times already. And that’s…

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