spanishgum

What metric would you use to define the leading frontend framework, and what is it?

I'm familiar enough with Angular, React, Flutter, Vue, and Svelte as big names in the ecosystem, but have really only done scrappy development with React and not much with the others.

Google trends seems to show React is still a leader [1], and React has more than double the amount of Github stars than any of the others I've mentioned except Flutter, by which it still leads a healthy margin.

- [1] https://trends.google.com/trends/explore?cat=32&date=today%2...

RTO 5 is "return to office, 5 days a week"

> Alexa+ costs $19.99 per month, but all Amazon Prime members will get it for free.

I'm curious if non prime members make up a big market for Alexa. I rarely use my smart devices for anything beyond lights, music, and occasional Q&A, and certainly can't see myself paying 20$/month for it.

The same way I would with any of my own code - I would test it!

The key here is to spend less time searching, and more time understanding the search result.

I do think the vibe factor is going to bite companies in the long run. I see a lot of vibe code pushed by both junior and senior devs alike, where it's clear not enough time was spent reviewing the product. This behavior is being actively rewarded now, but I do think the attitude around building code as fast as possible will change if impact to production systems becomes realized as a net negative. Time will tell.

How about `std::make_from_tuple` for constructors or `std::apply` for functions (C++17)?

It might be a bit verbose, but I think I would still prefer this over native syntax for unpacking.

Is Shazam really ML/AI/DL? I thought it was more of a signal processing and search engine system. You transform snippets of audio signals into text, pump it into a distributed database, and then perform a search against that. Maybe there is some AI involved in noise reduction, but that seems like a rather small component.

I stopped using browser based password managers and switched to KeePass. It's a bit more work to pull passwords and back them up, but for me it beats trusting cloud services with security critical data.

I was introduced to Lua via writing a Wireshark plugin for packet verification. It was hard in the beginning but dove right into working with a C backend. I'd say that's an approachable side project if you want to explore Lua.

I wonder if anyone would ever be willing to link this up to a personal website and publicly display all transactions live. That would take transparency to a whole new level. Call me crazy but I feel compelled.

Even on a desktop / laptop, many people probably use the browser's auto-complete or bookmarks for access.

My python course at uni focused on python3. We talked about differences and toyed with both interpreters, but ultimately wrote all projects and assignments in 3. I'm sure this is the case for students at other schools too.

Out of curiosity, what is stopping these platforms from being able to learn from users? For example, when I say something to Siri / Alexa / Home that they cannot process, I would love to be able to manually train them to perform an action and have them "learn" this new feature. (Something along the lines of, "ok Siri, whenever I say 'blah blah blah', open this app, go to this page, hit this button, tell me the content in this box")

Obviously this is not an easy task, and maybe it is being worked on already. Thoughts?

Most people don't realize how big our research programs are.

http://www.fsu.edu/highlights/rankings.html has some interesting tidbits on our rankings.

I think that is what he meant. Winter is seasonal after all.