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Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering

MIT News — Artificial Intelligence · 6d ago Cached

MIT's JARVIS Challenge tested whether AI can accelerate the design, build, and test of a jet engine, finding that AI speeds up engineering but human judgment and manufacturing remain critical.

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🚀 Open Source Devs: Let's Build the Coding Agent That Makes Every Other AI Copilot Look Outdated.

Reddit r/AI_Agents · 2026-07-05

The article calls on open source developers to collaboratively build a superior coding agent that surpasses existing AI copilots.

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#ai-copilot

Physical Superintelligence

Reddit r/singularity · 2026-06-24 Cached

PSI is building a vertically integrated factory for physical superintelligence to accelerate physics breakthroughs with artificial superintelligence, and has open-sourced an AI copilot for physicists called Get Physics Done (GPD).

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Kompassify 2.0

Product Hunt · 2026-05-27

Kompassify 2.0 introduces an AI copilot for user onboarding.

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What do you think of higgsfield supercomputer and Invideo agent one,the conversational ai copilot approach for video?

Reddit r/AI_Agents · 2026-05-24

Discusses the conversational AI copilot approach for video creation, using Higgsfield supercomputer and Invideo Agent One as examples, and questions whether this orchestrated workflow is more valuable than using underlying models directly.

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We use LLMs to analyze every file in your codebase. Everyone told us this was a stupid idea because of cost but it wasnt.

Reddit r/ArtificialInteligence · 2026-05-12

A benchmark study demonstrates that using LLMs to analyze entire codebases is cost-effective, identifying DeepSeek V4 Flash as the optimal default model due to its low cost and comparable accuracy to premium options like Claude Opus.

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Using GPT-4o reasoning to transform cancer care

OpenAI Blog · 2024-06-17 Cached

Color Health has developed an AI copilot using GPT-4o's reasoning capabilities to help oncologists identify missing diagnostic information and streamline cancer care workflows. The tool enables physicians to find 4x more missing labs and imaging results in ~5 minutes versus weeks, with initial validation underway at UCSF.

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