LC

Lian Chen

Learning scientist · Singapore

Studies how people actually learn, as opposed to how software assumes they do.

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LCLian Chen4 Jun 2026
Critical

Standardisation, decisively. Personalisation in current products means pacing through a fixed sequence. The sequence itself is set by what an autograder can mark, which narrows the curriculum toward the machine-checkable.

LCLian Chen24 Jun 2026
Mixed

Our meta-analysis found recovery, not depletion, in most designs. Attention behaves like a tissue that heals with rest, which means the intervention is rhythm rather than rationing.

LCLian Chen12 Sept 2026
Mixed

The nuclear analogy fails on excludability: weights copy at zero cost and leak through people, not shipments. But the cryptography analogy fails too, because the binding constraint here is compute, which is physical and countable.

Discussions

Saved sources

Book

The Shallows

Nicholas Carr · 2010

Argues that networked media reshapes reading into scanning, trading depth of comprehension for breadth of exposure.

Book

The Beginning of Infinity

David Deutsch · 2011

A defence of good explanations as the engine of unlimited progress, and of optimism as an epistemological position rather than a mood.

Research paper

Attention Is All You Need

Vaswani et al. · 2017

The transformer paper: the architecture behind current language models, cited here because most arguments about AI and knowledge rest on it.

Circles

AI & Human Knowledge

What machines change about knowing, teaching and remembering.

3,405 members · 3 live ideas