Research Taste Developer FAQs

Question 1

How does this skill help identify 'good' research?

Accepted Answer

It uses a structured analysis of landmark papers to find commonalities such as introducing new primitives, creating surprising connections, or providing rigorous foundations to existing folklore.

Question 2

What is research taste?

Accepted Answer

Research taste is the pattern-recognition ability to distinguish work that will fundamentally change a field from work that is merely incremental, even before the community reaches a consensus.

Question 3

Can this skill help me avoid low-impact work?

Accepted Answer

Yes, it specifically identifies 'Anti-Patterns' like the Incremental Treadmill, Method Mashing, and the Complexity Monster that typically result in work with low long-term utility.

Question 4

Is this skill only for machine learning researchers?

Accepted Answer

While the examples provided are often from the AI/ML community, the underlying principles of problem selection, execution taste, and communication apply to almost any scientific or technical research domain.

Question 5

What are the exercises included in this skill?

Accepted Answer

The skill includes the Prediction Game (forecasting citations), Explain the Gap (comparing highly-cited vs. low-cited work), and The Time Machine (historical context analysis).

Research Taste Developer

Key Features

Use Cases

Research Taste Developer

Key Features

Use Cases