As a native speaker the original comment seemed completely fine, ignore them. Also, I never would never guessed that you weren't also a native English speaker.
Agreed. The commas before the sentence-ending 'too' and 'anyway' were perhaps slightly unusual, but not enough so that I even noticed them, and I don't think either is incorrect. All the rest were perfectly normal.
Haha, I actually assumed you were making a joke from the beginning, it'd be funny to think that the habit of using comma prefixed commands will make someone more likely to use commas in their sentences.
I choose to use frameworks in the same sense I choose to use crypto libraries. Smarter people have thought long and hard about the problems involved, and came up with the best ways to solve them.
Why have the agents redo all of that if it's not absolutely necessary? Which it probably isn't for ~98% of cases.
Also, the models are trained on code which predominantly uses frameworks, so it'll probably trend toward the average anyway and produce a variant of what already exists in frameworks.
In the cases where it might make sense, maybe the benefit then is the ability to take and use piecemeal parts of a framework or library and tailor it to your specific case, without importing the entire framework/library.
It seems to be an ever-present trait of modern business. There is no rigor, probably partly because most business professionals have never learned how to properly approach and analyze data.
Can't tell you how many times I've seen product managers making decisions based on a few hundred analytics events, trying to glean insight where there is none.
What are you optimizing all that code for, it works doesnt it? Dont let perfect be the enemy of good. If it works 80% thats enough, just push it. What is technical debt?
If what you're saying 1) is true and 2) does matter in the success of a business, then wouldn't anyone be able to displace an incumbent trivially by applying a bit of rigor?
I think 1) holds (as my experience matches your cynicism :), but I have a feeling that data minded people tend to overestimate the importance of 2)...
In many experience, many of the statistics these people use doesn't matter in the success of a business --- they are vanity metrics. But people use statistics, and especially the wrong statistics, to pass their agenda. Regardless, it's important to fix the statistics.
Rigor helps for better insights about data. That can help for entrepreneurship.
What also can help for entrepreneurship is having a bias for action. So even if your insights are wrong, if you act and keep acting you will keep acting then you will partially shape reality to your will and bend to its will.
So there are certain forces where you can compensate for your lack of rigor.
The best companies have both of those things by their side.
This is a silly bill. I'm struggling to imagine how this would be practically implemented and enforced.
The details in the bill mention inserting a "firearms blueprint detection algorithm" in either the firmware of the printer, or in the slicer, which can detect a file based on its presence in a database of known downloadable firearm files.
Are the people who drafted this bill aware that firearm parts can be modeled relatively easily in any flavor of CAD software, which would make a known list of files essentially pointless? Even someone who doesn't have CAD skills can just download another file in the endless stream of possible files, all with small modifications to differentiate the file hash.
And then there's the whole open-source side of 3D printing, which involves a significant share of machines, where this approach would essentially be completely unenforceable.
This is one of those pieces of regulation that doesn't actually prevent criminals from acquiring firearms, it just makes regular people's lives more difficult.
It likely is acceptable for business-focused code. Compared to a lot of code written by humans, even if the AI code is less than optimal, it's probably better quality than what many humans will write. I think we can all share some horror stories of what we've seen pushed to production.
Executives/product managers/sales often only really care about getting the product working well enough to sell it.
Don't know about the others, but Illinois permanently shut down (and demolished or repurposed the land) the majority of its coal power plants over the past couple decades.
Illinois gets about half its power from nuclear (we have 6 plants and 11 reactors), followed by natural gas at around 20%, and then about equal amounts of coal and wind, at around 10-15%.
So Illinois is actually a pretty decent place to build datacenters, from a clean power generation perspective.
