fathead_glacier
fathead_glacier on Hacker News
No affiliation, just a long term fan after years of frustration with Postman and Insomnia.
I have been using Kubernetes for a few years now and whenever I see people putting manual steps they should instead be using an operator. What the author is describing as a problem has a solution (they even added it to their own operator).
Kubernetes has a steep learning curve but if you want to do nontrivial thing like have state than you need to learn nontrivial things like operators.
The default controllers that come with Kubernetes do not cover everything under the sun and they do require extensions via the operator pattern for some tasks.
Just my two cents.
Different tools for different uses cases is the best way to put it.
It's great for such cases - I use it when hiking / working away from good internet.
Further, as stated hydrogen is typically produced by steam reforming which generates greenhouse gases. The alternative of using electrolysis requires electricity generated from carbon neutral sources.
Taking all this into account:
- making steel requires electricity, the carbon neutral source can be used here directly;
- land vehicles already have a proven alternative with electric engines;
- naval vehicles do not have the luxury of easily recharging electric batteries.
As a summary I think the solution already exists for steel making and land based transport the problem is widespread adoption and politics rather than technology. Naval based transport can benefit from hydrogen as a fuel source but it comes at the engineering challenge of transport/storage and the associated safety concerns.
My experience of speaking with authors who have published books is that most of the money stays with the publisher and not the author which is a real pity. The net effect is the discouragement to write books which is counter to progress.
The subscription model is really interesting to me and I hope it makes a difference to the book publishing paradigm.
[1] http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/3274/pd...
In essence there are cases outside the well developed uses (CNN, LSTM etc.) such as Neural ODEs where you need to mix different tools (ODE solvers and neural networks) and the ability to do Differentiable Programming is helpful otherwise it is harder the get gradients.
The way I can see it being useful is that it helps speed up development work so we can explore more architectures, again Neural ODEs being a great example.
It is a difficult problem to solve for a reason.
Other examples I could think of fall in the category the top comment is referring to.
Org-mode support todo lists, agendas, scheduling, recording time per task, latex export, references (with org-tef) and executing code in the document (with babel) and more.
To give you an idea of what the workflow is while I am working on my PhD thesis. I write text with references in sections with todo tags, add my python code, execute it and export to latex. Now I can track how much work I did today in what section and I can also see other files in a common agenda. All of this is in plain text files so git work as well and if you decide to migrate a python script can parse it.
All of this in a free and open source solution if you are happy to work with Emacs. In my opinion it is worth it even if you keep a running Emacs version only for this.
Having said that, just because it exists in Julia does not mean it can exist in Go. I just wanted to mention that there are exceptions to the rule which begs the question if it is a rule in the first place.
In a way it will be survival of the fittest for trees. Unfortunately it might take considerable work from urban planners which I cannot see happening on a large scale any time soon.
Maybe a better idea will be to selectively breed species in hard environments and then distribute the seeds to cities that need them. With genetic modifications becoming prevalent in the food industry this might be not far away from happening.
Cannot wait to give it a try.
However, it makes me wonder if and when third party insurance companies will start offering this as a service.
For me the best workflow is to pass a text document to the linter before the build/deployment procedure (after finishing all writing work!) and modify the highlighted entries. As a result I can see which sentences can be phrased in a way which improves their structure and ultimately the quality of the text.
The article in this post, however, is lacking an explanation of how MIB gathers the medical records. It is therefore unclear if the users gave their consent to share the information even if it was through vague fine print. On the other hand the story would be very different if the data was gathered and shared without consent and I might wonder if a legal case can be made here.
[0] https://www.ibm.com/developerworks/community/blogs/jfp/entry...
Also they have advertisements, but unlike Google they are not targeted to you, hence making them less competitive for advertisers. Hopefully, this will not prevent them from growing in the future.