Mingalaba
Frequent Bayesianism is a cheeky, made up term that invokes an outdated, ideological debate in the field of probability and data science. With little meaning it serves as great name for a personal publication.
This blog features a variety of digital fundamentals ranging from career to code, data to design.
Featured
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A Year in the Studio
Posted on:June 07, 2026A reflection on the first year of Bifunctional Labs, from community operations and educational tooling to AI-native builder workflows.
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Designing with Machines - How AI is Reshaping UX
Posted on:June 10, 2025Guest post by a UX Designer exploring how AI tools are transforming the UX design process, guided by new frameworks and innovation models.
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Learning to Code in the Age of Models - Summer 2025 Prep
Posted on:May 18, 2025As AI models reshape software development, what should aspiring coders focus on in 2025? This post explores key shifts and practical advice for staying relevant.
Recent Posts
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A Year in the Studio
Posted on:June 07, 2026A reflection on the first year of Bifunctional Labs, from community operations and educational tooling to AI-native builder workflows.
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Working Across Frontend, Backend & Data with JSON
Posted on:March 20, 2026A minimal, practical guide to using JSON as the contract across frontend, backend, data, and AI systems.
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Designing with Machines - How AI is Reshaping UX
Posted on:June 10, 2025Guest post by a UX Designer exploring how AI tools are transforming the UX design process, guided by new frameworks and innovation models.
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Building Understanding, Not Just Models. New Tools for Deep Learning in the Gen.A.I. Era
Posted on:May 18, 2025Explore the new wave of tools and ideas that help Deep Learning students understand models from the inside out—without needing a team of engineers.