Tim Varelmann · Software Engineering Radio - the podcast for professional software developers · Tim Varelmann on Mathematical Optimization for Software Engineers
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Apply a 1.2 multiplier to the demand forecast in the existing stock-risk optimization model to simulate a 20% demand increase and rerun the model
1.2 (20% demand increase)
“Demand for high quality riverfront river view apartments with views that can't be built out is just going to keep increasing and increase disproportionately to the rest of the demand”
“They're forecasting about 3.9 million kgs of milk solids this season. They seed demand out to 6 million”
“Even if the model is fully permissive… everything else you need to run it is still expensive… I think most token demand will go to open.”
“Price of H100s… had just been declining… then around Thanksgiving they turned around and kind of went up… Anthropic's newest model came out… a ton of demand for inference”
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