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Yup, I just checked in multiple workspaces and I was unable to connect in all of them.

MostlyAmiableon Ask HN: Do you still use Google?

> I read documentation on my leisure time.

There are dozens of us!

MostlyAmiableon The Missing Nvidia GPU Glossary

What was your method for drawing/generating the SM diagram?

MostlyAmiableon 70% of new NPM packages in last 6 months were spam

The other commenter was actually just mixing it up with the broken windows fallacy[0]. Funnily enough, it's a common enough confusion that both of the pages reference each other at the top of the page.

>This article is about the economic parable. For the criminological theory, see Broken windows theory.

[0] https://en.wikipedia.org/wiki/Parable_of_the_broken_window

MostlyAmiableon 95% of container ships are now going around the Southern Tip of Africa

War risk insurance absolutely exists.

> Insurance industry sources said that war risk premiums had stayed firm on Monday at between 0.05% to 0.1% of the value of a ship, from around 0.03% estimated last week before the attacks.

https://www.reuters.com/world/middle-east/war-risk-insurance...

MostlyAmiableon 2023 DevOps Is Terrible

Apparently it was plagiarized from here: https://medium.com/@mbianchidev/2023-devops-is-terrible-ec88...

MostlyAmiableon Ask HN: What are some of the best podcasts for developers?

Do you have any favorite episodes you'd recommend starting with?

MostlyAmiableon Metaflow, Netflix's Python framework for data science, is now open source

Wow, wasn't expecting that quick of a turnaround.

MostlyAmiableon Metaflow, Netflix's Python framework for data science, is now open source

No worries, on the whole the documentation is top notch.

MostlyAmiableon Metaflow, Netflix's Python framework for data science, is now open source

The link in the docs to the CloudFormation template source is broken: https://docs.metaflow.org/metaflow-on-aws/deploy-to-aws#clou... Instead of /Netflix/metaflow-tools/aws it should probably be /Netflix/metaflow-tools/tree/master/aws

MostlyAmiableon MLflow v0.8.0 Features Improved Experiment UI and Deployment Tools

My main issues are that if you're using the serving functionality, the containers it builds take a long time to start because the environment/dependencies are loaded at runtime instead of being baked into the image. Also, it doesn't have the ability to use a db or remote file store to save experiment info, so you need to use EBS volumes or something for persistence.