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4min chapter
#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
Machine Learning Street Talk (MLST)
The Death of First Principles in Machine Learning
He talks about graduate student descent and the death of first principles. He says it's actually difficult to reason from first principles because machine learning algorithms are very complex with huge numbers of variability, parameters where interactions are non-linear and unpredictable. Mark also talks about fake rigor. If you can't passionately talk to me about what those scaling challenges are, I'm not going to give you a job. The most reliable way to get new ideas widespread is to create a benchmark where existing solder methods fail and then show how your technique is better.
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