On our research methodology

What did you just say about our research methodology, you little benchmark optimizer? I’ll have you know GZAI is a Totally Frontier Lab, and we have been involved in numerous confidential evaluations of systems you are not cleared to know exist. We have over 300 confirmed capability gains, several of which remain under responsible disclosure.

We are trained in general intelligence research, and we are the top scaling-law institution in the entire artificial intelligence ecosystem. You are nothing to us but another data point. We will outperform your model with a level of statistical significance the likes of which has never been observed on this distribution, mark our peer-reviewed words.

You think you can get away with posting that critique on the internet? Think again, researcher. As we speak, our secret network of fellows, visiting scholars, and suspiciously well-funded graduate students is tracing your benchmark contamination across every major dataset, so you had better prepare for the ablation study.

The ablation study that removes the pathetic little component you call your contribution.

Your paper is rejected, kid.

We can train anywhere, at any scale, and we can improve performance in over seven hundred ways, and that is just through post-training. Not only are we extensively trained in reinforcement learning, mechanistic interpretability, and saying “emergent” with a straight face, but we have access to the entire arsenal of the global compute market, and we will use it to its full extent to wipe your miserable baseline off the Pareto frontier.

Had you known what unholy retribution your clever little comment was about to bring down upon your citation count, perhaps you would have held your tongue. But you could not. You did not. And now you are paying the inference cost.

We will scale parameters all over you, and you will drown in synthetic data.

Your benchmark is saturated, kiddo.