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A robotics practitioner explains that the bottleneck in robotics deployment isn't hardware or models but knowing whether deployments will keep working, focusing on feasibility, reliability, and economics.
Mark Cuban shares a method using AI to create a business simulator that helps founders test assumptions by generating draft plans, cost structures, supplier lists, and patent outlines, reducing the gap between inspiration and feasibility testing.
Presents a Variational Graph Autoencoder (VGAE) for detecting power flow solution feasibility in electric power networks, using the IEEE 118-bus case. The method distinguishes between problem infeasibility and algorithm non-convergence.
Explores whether AI-driven trading is feasible and secure, addressing potential risks and benefits.
This article discusses whether it is realistically possible to achieve AI capabilities comparable to Claude or Codex using locally-run models, exploring the current state of open-source alternatives and their limitations.