January 2026
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.
Meta’s “Superintelligence” Lab Just Dropped Code (And Musk Wants Servers in Space)
I swear, trying to keep up with the AI cycle this January feels like drinking from a firehose that’s also on fire.
AWS Just Fixed My Least Favorite Part of SageMaker
I have a confession to make: I hate data preparation. I despise it. You know the drill. You have a bucket full of messy CSVs in S3.
Weaviate on GCP: Stop Overcomplicating Your Vector Stack
I remember the bad old days. You probably do too. Back around 2023 or 2024, if you wanted a production-grade vector database, you were basically signing.
Qdrant Hybrid Cloud: Finally, SaaS That Keeps Legal Happy
The “Dave from Compliance” Problem I spent the better part of last November arguing with a compliance officer. Let’s call him Dave. Dave is a nice guy.
YOLOv8 Exports to OpenVINO Are Finally Less of a Headache
I have a love-hate relationship with model deployment. Training is the fun part—watching those loss curves drop is satisfying in a weird, primal way.