Machine Learning
Dropping my local tracking server for Comet’s new free tier
The 2 AM breaking point Well, there I was, staring at my terminal at 1:30 AM on a Thursday, watching my training loop crash for the fourth time.
Local Inference is Finally Good (Thanks, TensorRT)
I spent the better part of yesterday fighting with a Docker container that refused to see my GPU. You know the drill.
Optuna Is Still The HPO King (Yes, Even In 2026)
Actually, I should clarify – I spent last Tuesday fighting with a “self-optimizing” LLM agent that promised to tune my hyperparameters automatically.
Production AI Is Hell: My Love-Hate Relationship With Triton
Well, I have to admit, I was staring at a Grafana dashboard at 11:30 PM on a Tuesday when I finally admitted defeat.
Optuna’s New Rust Storage Backend Is Absurdly Fast
Actually, I should clarify – I spent three hours last Tuesday staring at a progress bar that simply refused to move. You know the feeling.
Azure ML Compute Security: Stop Trusting the Defaults
I spent last Tuesday arguing with a firewall. It wasn’t fun. I was trying to lock down our data science environment because, honestly, the default.
OpenAI Weights on SageMaker: Hell Froze Over
Honestly, I had to check the URL three times. Then I checked the SSL certificate. Then I texted a buddy at Amazon to ask if their marketing team had gone.
Ray joined PyTorch Foundation: Why my infra team finally relaxed
Actually, I should clarify — I was sitting in a budget meeting last November when our CTO asked the question that usually makes me sweat: “Are we sure.
Ray and Monarch: Did PyTorch Finally Fix Distributed Training?
Well, I have to admit, I used to be one of those developers who hated dealing with the distributed training headaches.
o3 Just Broke My Benchmarks (And Probably Yours Too)
I’ve been staring at evaluation curves for the better part of a decade. Usually, they creep up. You get a percent here, a percent there.