Unsupervised Learning with Jacob Effron · Ep 94: Applied Compute CEO on the Limits of RL, the New AI Hyperscaler & Why Post-Training Wins Inference
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In interviews, ask candidates to explain why they built AI-generated outputs the way they did, auditing understanding of tool usage
“I think we've seen a pattern of employees being evaluated on AI usage… tracking usage of tools is the absolute wrong way of going about evaluating output.”
“We do audit logs, but now in the agentic world, we have to also give more insights why an agent arrived to a decision. What's the evidence they use? And when did they use what evidence? It's traceability and explainability.”
“Ship Fusion wanted to give operators a better way to understand how their fulfillment experience actually compares to the rest of the market. So they placed and audited hundreds of actual real life DTC orders”
“You can just ask the AI to dissect what they've done, and explain it to you, ... explain it to me like I'm five, ... in French, whatever you want.”
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