vishnudeva

If this is ragebait, kudos

There are too many blanket statements in this article that aren't well argued or even explained. This for example is just a series of assumptions:

""" The attack on “silos” usually comes from people outside of a silo, generalists who don’t have deep disciplinary knowledge or focused training. These people don’t want their ideas validated by a community of experts. They find expertise to be inconvenient. The image of the silo as narrow, contained, a kind of ivory tower, seems to support the claim that those in them are narrow, out of touch, or secluded. """

The links in the first paragraph actually do quite a good job of explaining what people mean when they say Silos are bad. No one claims that disciplines and departments and teams should become a single blob. This article might be defending something that needs no defense and is not under any attack.

I did enjoy reading about the history of Silos :)

Just magical! It's so realistic that I had to remind myself that it was a website and not a VM!

The nuances you've captured across so many different interfaces must've taken you a long time!

The scale is astounding. I was briefly interested in the person that caused the error then immediately realized it was irrelevant because if a mechanism doesn't exist to catch an issue like that, then any company is living on borrowed time.

I'd love to offer a few words of encouragement for this excellent project. This space only appears crowded to those that have already been here for a while. To everyone else, this might just be the most obvious thing to adopt for Kubernetes and they might not even have heard of Kustomize/Helm. So I would suggest two separate personas to target in the docs and communication: 1) Jaded devs that need to be convinced with detailed proof that Koreo isn't yet-another YAML tool. 2) Everyone else, to whom the pitch is that Koreo is the most obvious choice when the need is A, B, or C.

Looking forward to trying this out soon!

I also think more high level patterns would make Koreo more approachable. Real world problems and how they could be addressed with Koreo.

This is amazing to see from Sigstore! Looking forward to more ML specific features in the coming months!

Also looking forward to reading through the SLSA for ML PoC and seeing how it evolves. I was planning to use Witness for model training but wasn't sure how it would work for such a long and intensive process.

Onyx is as close as to magic you can get in this space. It just. Works.

I can talk for literally hours about how good it is when you connect it to your company's Confluence or Jira or Slack or Google Drive or a ton of other things. At a scale of many tens of thousands of documents too.

Their team is awesome too and completely tuned into exactly what their users need. And that it's open source is the cherry on top. No secret in how your data is being used.

- An incredibly happy user looking forward to more from Onyx

Ah I see! Thanks for elaborating! :)

I think my answer: I have no idea what multi-line lambdas are, probably explains why I find Reflex (or Rio/Streamlit, etc) amazing, haha

For a person with zero front-end knowledge, it's a game changer.

+1 for Reflex. Truly amazing.

This was me 18 years ago, I think as long as the curiosity transfers to something in the real world over time, this is an amazing thing. Like reading museum placards, writing in a diary about her day to day observations, etc. Also, the reading to writing pipeline is probably the easiest to achieve when someone is young and inculcates a lot of thoughtfulness.

Also I don't think the two dependencies can be equated. Electronics create super short attention spans, books are the complete opposite. So I think she's already doing better than most her age.

Mermaid and C4 Model gang assemble!

Solid comedy, sweet ending, peak internet.

Amazing tool, but I'll always (unreasonably and unfairly) hate it for locking away a bunch of my data because I forgot an absurdly long password which I didn't note down anywhere. Needless to say, lesson learned.