Insights at Scale

A totally unbiased guide to evaluating AI applications

R1 is good, but the world hasn't ended

How and why new platforms unlock latent demand

Does one of the most hyped products of 2024 live up to its promise?

But LLMs will probably get better anyway

top overthinking AI strategy—just use more AI

Dangerous (but fun!) predictions about AI adoption

Vibes-based evals are key to real-world AI

In a world of uniform models, it's increasingly hard to differentiate

It's all about the data

Data matters; infrastructure matters more

LLMs revive RLHF, RLCF scales, open-source future uncertain