PinnedPublished inTDS ArchiveWhat Do Large Language Models “Understand”?A deep dive on the meaning of understanding and how it applies to LLMsAug 21, 20248Aug 21, 20248
Published inTDS ArchiveAI Math: The Bias-Variance Trade-off in Deep LearningA visual tour from classical statistics to the nuances of deep learningNov 29, 20241Nov 29, 20241
Published inTDS ArchiveWhy Scaling Works: Inductive Biases vs The Bitter LessonBuilding deep insights with a toy problemOct 22, 20242Oct 22, 20242
Published inManagement Matters5 Hidden Risks in Deploying Generative AIManaging the hidden risks in modern AI projectsOct 7, 2024Oct 7, 2024
Published inTDS ArchiveExploring the AI Alignment Problem with GridWorldsIt’s difficult to build capable AI agents without encountering orthogonal goalsOct 6, 20244Oct 6, 20244
Published inTDS ArchiveHow I Deal with Hallucinations at an AI StartupAnd the difference between weak vs strong groundingSep 22, 20248Sep 22, 20248
My career change from UX to AIHow did I change careers? A decade long journey that started with a though: what would it take to make a machine that could think?Jul 29, 20241Jul 29, 20241
Published inUX CollectiveHow large a sample do you need?And is sample size even the right question?Oct 12, 2020Oct 12, 2020
Can machine learning speed up UX research analysis?A new experiment from the Evolve teamSep 28, 2020Sep 28, 2020
Published inUX CollectiveWhy most UX projects could use Task AnalysisA deep dive into the lost art of Task Analysis.Dec 16, 2019Dec 16, 2019