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Agentic Engineering & PINNs: AI for Simulation Engineers - James Shaw | Podcast #172

Agentic Engineering & PINNs: AI for Simulation Engineers - James Shaw | Podcast #172

James Shaw, a mechanical engineer and Ansys channel partner, delves into the current and future impact of agentic AI and physics-informed neural networks (PINs) on simulation workflows. He explores how AI is revolutionizing aspects from tech support and model setup to the solver itself, particularly in CFD. The discussion also covers the implications for the engineering job market, the 'senior-junior inversion crisis', and the continued irreplaceability of skilled engineers due to the inherent physicality of the world, emphasizing the need for robust, trustworthy data to train AI.

Why language models hallucinate, revisiting Amodei’s code prediction and AI in the job market

Why language models hallucinate, revisiting Amodei’s code prediction and AI in the job market

Experts discuss an OpenAI paper that reframes hallucinations as a feature driven by training incentives, not just a bug. The panel also revisits Dario Amodei's prediction on AI coding, explores AI's chaotic impact on the job market, and imagines the future of running LLMs on business-card-sized devices.

When AI Eats the Bottom Rung of the Career Ladder

When AI Eats the Bottom Rung of the Career Ladder

Ben Lorica and Evangelos Simoudis analyze three pivotal AI trends: the "Great Hollowing Out" of entry-level jobs, the financial disconnect between AI hardware depreciation and its useful life, and OpenAI's strategic shift to router-based models in the quest for a sustainable business model.