Industrial AI Podcast The Welding World Model
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Oct 8, 2025 Andy, the co-founder and CEO of Path Robotics, shares insights from his groundbreaking work in AI-driven welding robots. He discusses the importance of adaptability in manufacturing and how real-world data significantly enhances AI performance. The conversation reveals how Path's Obsidian model integrates multimodal sensors—using everything from sound to vision—for precision. Andy also highlights the challenges of training robots on diverse materials and the impressive outcomes, like a 98% first-pass yield, demonstrating the future of robotics in industry.
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Real-World Robustness Equals Trust
- Mechanical engineers report customers losing faith after lab AI fails in real-world deployments.
- The hosts stress industrial-grade AI must reach deterministic, robust performance to regain trust.
Algorithms Can Trump Pure Scaling
- Scaling laws research shows alternative architectures like XLSTM can outperform transformers at long context cheaply.
- Peter and Robert highlight that clever algorithm design can complement brute-force compute.
Pivot Skills For The 2025 Data Workflow
- Data scientists should pivot to new tooling as AutoML and LLMs change workflows.
- Prepare to adapt skills toward prompt-driven and automated pipelines rather than old feature workflows.
