i_have_an_idea

Capital is much more fungible and flexible than labor. Foreign capital inflows, particularly speculative, can do a lot more to drive up the prices for locals than a handful of remote workers.

Furthermore, there are significant barriers getting into the kind of remote work that pays significantly more than local work: language and culture, legal considerations, the skills to find remote jobs and, particularly in less developed countries, having education that would allow you to develop globally marketable skills.

There is nothing illegal about using an e-money service for a few small transactions. When you eventually reach the cumulative amount that triggers the KYC process, you are under no obligation to complete it and refusing to do so is not "structuring".

Of course, they will suspend your account until you're in compliance with their KYC process.

If you don't want to provide your ID, then that essentially limits your options to:

1) cash

2) crypto (assuming you never interface with exchanges/banks)

3) use e-money services up to the cumulative amount that triggers the KYC process. I forget what that is, but probably a few hundred dollars.

Looks horrible. I'm sure it's much better to be packed like in a can of sardines with all kinds of random people.

So are big European cities like Amsterdam, London, Paris etc. The only difference is that it's not guns but knifes, machetes, brass knuckles and what not.

Those are just problems of big cities, not some problem unique to the US.

And I disagree that the quality of life is the same for someone who lives in a nice house vs small apartment, has to use public transport vs personal luxury vehicle and so on.

You probably live in a cramped 60 sq.m. rented apartment, whilst your American counterpart lives in a mansion house in the suburbs of a major city.

You ride the public transport to work and your counterpart drives his luxury SUV.

So, why don't you use these services and do the work yourself then?

However, for a while now, the name of the game in SEO has been authority.

Do the things that help establish your authority and you will rank well. No matter what AI or SEO tricks other sites use.

Side question, but why is that a "mafia". Is any tech entrepreneur starting a 2nd company after having one mildly successful exit now a "mafia" move?

Soon enough, I will probably read about the "skibidi toilet mafia" on this site..

They can and will totally ignore them, when it benefits them directly. They will also easily find a way to explain why that was okay in case A, but won't be in case B.

The marketshare argument does not hold any water as, for some reason, you are considering feature phones alongside smartphones. The two are fundamentally different devices.

To be frank, the main reason why Symbian and other legacy OS failed to compete with Android in this new market is accumulated tech debt and just overall technical and design decisions made over the years to cater to feature phones.

It wouldn't be impossible to overcome that handicap, but why spend more money and even more importantly time, to try to fix something when you (a) have the option of a more modern platform in Android (b) you already are starting from behind and need to catch up to Apple.

Google were generous to give the terms that they did. But even if they didn't, it wouldn't have affected the outcome. Perhaps 1-2 OEMs would've tried to go to market with a retrofitted Symbian and fail within a year or two.

What route would they have taken? Symbian? BlackBerry OS?

He will be missed. Rip.

At the same time, I have now done software engineering for over a decade, in many roles and teams, and I have never seen Agile or Scrum to lead to the development of a good piece of software. I guess we were using it wrong.

It's the same. In today's world of hyper SEO optimization and human-like AI content, the only game in town left is authority. And the way to build authority is backlinks.

> Some friends made a sports site for fun. They were a bunch of FB marketers in the early era and just experimented, plus it was a topic they loved ranting on. They did FB ads then funneled the traffic to a WP site. They hit 4 million pageviews/month in less than half a year. Automated ads didn't work, they paid too little and dropped quality too much.

Hah, as it happens, I know quite a bit about that niche. With the legalization of online sports betting around US states in the last few years, there was actually quite a bit of money to be made by high traffic sports blogs working as affiliates. There was also quite a bit of M&A activity, some of these technologically simple blog sites selling for millions to the bigger sports affiliate groups.

Having backlinks from NYT, Washington Post and Wikipedia for the term is 1000x more valuable than just hitting all the technical SEO metrics of fast page loading and meta tags.

Backlinks matter so much that many authoritative sites sell them. Of course, they won't admit to that for obvious reasons.

1) A middle layer, such as SQL, offers a vital introspection point to understand and fix LLM mistakes. Without it, we will end up with a "black box" that could lead to errors in data queries and manipulations, making debugging and correction much more challenging.

2) Mathematical properties and data integrity: Databases are built around principles like 3NF and BCNF that are pivotal for efficiency and data integrity. It is highly doubtful that these essential principles could be as effectively replicated in a pure LLM-based system without losing critical aspects of data management and efficient query planning & execution.

3) You mentioned "translational losses" without clarity on what these might be. SQL is a specialized declarative language with clear structure and syntax, while human language often leaves room for ambiguity. Relying solely on an LLM could lead to interpretations that are likely but not necessarily correct. This ambiguity might actually increase "translational losses" rather than reduce them.

I understand there's a lot of excitement around generative AI at the moment, but DBMS are an extremely complex topic and this feels like another case of "when you have a hammer everything looks like a nail".

I am not affiliated with the project. I like that LLM because it runs on my Mac and it performs fairly close to GPT 3.5