I may be out of the loop, but how was Bitwarden not "good" to users? Does this relate to the recent price increase?

I've used Windows since 3.1. Win 11 was the straw that broke the camel's back. I moved to CachyOS a few months ago and I honestly can't find a reason to switch back.

Yes. I mean... of course he was?. Firstly, I had already gone through this process with multiple LLMs, from various perspectives, including using Deep Research models to find out if any other businesses faced similar issues, and/or if products existed that could help with this. That lead me down a rabbit hole of data science products related to regulatory reporting of a completely different nature which was effectively useless. tl;dr: Virtually all LLMs - after understanding the context - recommended us doing thing we had already been urging the business to do - hire a Technical BA with experience in this field. And yes, that's what we ended up doing.

Now, give you some ideas about why his idea was obviously absurd:

- He had never seen the SP

- He didn't understand anything about regulatory reporting

- He didn't understand anything about financial derivatives

- He didn't understand the difference between Transact SQL and ANSI SQL

- No consideration given to IP

- etc etc

Those are the basics. Let's jump a little bit into the detail. Here's a rough snippet of what the SP looks like:

   SELECT
    CASE
    WHEN t.FLD4_TXT IN ('CCS', 'CAC', 'DEBT', ..... 'ZBBR') THEN '37772BCA2221'
    WHEN t.FLD4_TXT IN ('STCB') AND ISNULL(s.FLD5_TXT, s.FLD1_TXT) = 'X' THEN 'EUMKRT090011'
    END as [Id When CounterParty Has No Valid LEI in Region]
   -- remember, this is around 5000 lines long ....

So... you're not just dealing with incredibly unwieldy and non-standard SQL (omitted), noone really understands the business rules either.

So again... yes he was entirely wrong. There is nothing "trivial" about refactoring things that noone understands.

a) They asked an LLM

b) "This is what all our competitors are doing"

c) They saw a video on Youtube by some big influencer

d) [...insert any other absurd reason...]

True story:

In one of our recent Enterprise Architecture meetings, I was lamenting the lack of a plan to deal with our massive tech debt, and used an example of a 5000 line regulatory reporting stored procedure written 10 years ago that noone understood. I was told my complaint was irrelevant because I could just dump it into ChatGPT and it would explain it to me. These are words uttered by a so-called Senior Developer, in an Enterprise Architecture meeting.

Who are these people? What is the analog for this corner of the market? Context: I'm a 47y/o developer who has seen and done most of the common and not-so-common things in software development.

This segment reminds me of the hoards of npm evangelists back in the day who lauded the idea that you could download packages to add two numbers, or to capitalise the letter `m` (the disdain is intentional).

Am I being too harsh though? What opportunity am I missing out on? Besides the potential for engagement farming...

EDIT: I got about a minute into Fireship's video* about this and after seeing that Whatsapp sidebar popup it struck me... this thing can be a boon for scammers. Remote control, automated responses based on sentiment, targeted and personalised messaging. Not that none of this isn't possible already, but having it packaged like this makes it even easier to customise and redistribute on various blackmarkets etc.

EDIT 2: Seems like many other use-cases are available for viewing in https://www.moltbook.com/m/introductions. Many of these are probably LARPs, but if not, I wonder how many people are comfortable with AI agents posting personal details about "their humans" on the net. This post is comedy gold though: https://www.moltbook.com/post/cbd6474f-8478-4894-95f1-7b104a...

[*] https://www.youtube.com/watch?v=ssYt09bCgUY

It's unfortunate that so many people end up parroting fanciful ideas without fully appreciating the different contexts around software development.

Heh. I've been saying that since I was on Mandrake in the early 2000s. This is just what the Linux landscape is like.

That said, I'm generally not easily impressed, especially by random *nix distro 347, but CachyOS is surprisingly good. I've finally switched full time from Windows. I don't even need VS anymore because Rider is x-platform.

"Hi,

These do appear to be quite serious crimes. I've sent all the URLs, your email address, emails and responses to the relevant law agencies.

Regards, AdGuard"

https://www.youtube.com/@HTXStudio/videos

I love the one about the automated trash cans.

Comments URL: https://news.ycombinator.com/item?id=45472820

Points: 4

# Comments: 1

https://www.youtube.com/watch?v=pTdZLY9r4lg

Comments URL: https://news.ycombinator.com/item?id=45286446

Points: 2

# Comments: 0

In this interview he goes over pretty much exactly what you mentioned (and a lot more):

https://www.youtube.com/watch?v=7oWip00iXbo

Recent comment from one of the main authors:

https://x.com/DrBeaVillarroel/status/1949780669141332205

Previous work: https://www.nature.com/articles/s41598-021-92162-7

Comments URL: https://news.ycombinator.com/item?id=44719941

Points: 2

# Comments: 1

Yes, that's what a snippet generally is. The generated document from my very basic research prompt is over 300k in length. There are also sources from the official mailing lists, graphile, and various community discussions.

I'm not going to post the entire outout because it is completely beside the point. In my original post, I expliclity asked "What is the qualitative and quantitative nature of relevant workloads?" exactly because it's not clear from the blog post. If, for example, they only started hitting these issues with 10k simultaneous reads/writes, then it's reasonable to assume that many people who don't have such high work loads won't really care.

The ChatGPT snippet was included to show that that's what ChatGPT research told me. Nothing more. I basically typed a 2-line prompt and asked it to include the original article. Anyone who thinks that what I posted is authoritative in any way shouldn't be considering doing this type of work.

Maybe you also don't know what ChatGPT Research is (the Enterprise version, if you really need to know), or what Executive Summary implies, but here's a snippet of the 28 sources used:

https://imgur.com/a/eMdkjAh