Are we offloading too much of our thinking to AI?

Reflections on autonomy and the value of thinking for ourselves

Jul 14 • Yennie Jun

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May 2026

Can AI read music? Part 2

Two years later, LLMs still struggle with reading sheet music

May 4 • Yennie Jun

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January 2026

How my personal data collection practice evolved over the years

And why now is the best time to start your own

Jan 1 • Yennie Jun

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March 2025

Analyzing my personal data using AI

The lazy data scientist edition

Mar 16, 2025 • Yennie Jun

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February 2025

What does AI know about love, anyway?

Some musings on human-AI emotional bonds and relationships

Feb 15, 2025 • Yennie Jun

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December 2024

2024 in review: my reflections on AI

My thoughts on some things that happened this year and what I'm excited for next year

Dec 30, 2024 • Yennie Jun

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October 2024

LLM vs LLM: Codenames tournament

A mini multi-agent competition among 3 different LLM agents

Oct 10, 2024 • Yennie Jun

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August 2024

Visualizing Data from the 2024 Paris Olympics — Part 2

Medals, medals, medals 🏅

Aug 19, 2024 • Yennie Jun

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Visualizing Data from the 2024 Paris Olympics — Part 1

An OlymPIC is worth a thousand visualizations

Aug 7, 2024 • Yennie Jun

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Evaluating long context large language models

There is a race towards language models with longer context windows. But how good are they, and how can we know?

Aug 1, 2024 • Yennie Jun

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July 2024

Dealing with cognitive dissonance, the AI way

How do language models handle conflicting instructions in its prompt?

Jul 5, 2024 • Yennie Jun

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May 2024

How would you tokenize (or break down) a million digits of pi?

An exploration into how LLMs tokenize long sequences of numbers and other unusual sequences

May 22, 2024 • Yennie Jun

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