There's a difference between 10 years of experience and 1 year of experience 10 times.
YOE isn't always a measurement of quality, you can work the same dead-end coding job for 10 years and never get more than "1 year" of actual experience.
Many workers primarily work towards helping the boss grow their head count, or helping the middle-manager with their emotional state.
They have <a really expensive> infrastructure that serves 800 million monthly active <but non-paying> users.
I don't pay Meta any money too. Yet, Meta is one of the most profitable companies in the world.I give more of my data to OpenAI than to Meta. ChatGPT knows so much about me. Don't you think they can easily monetize their 800 million (close to 1 billion by now) users?
I am pretty sure they will be able to monetize it. But there is a big difference between "generating revenue" and "generating profit". It's way cheaper to put ads between posts of your friends (like FB started out with ads) then putting ads next to the response of an LLM. Because LLM responses has to be unique, while a holiday photo of yours might be interesting for all of your friends, and LLM inference is quite expensive, while hosting holiday photos is cheap. IMHO this is the reason why the 5th generation of ChatGPT models try to answer all possible questions of the world in one single response, kinda hoping that I am going to be happy with it an just close the chat.
They have infrastructure that serves 800 million monthly active users.
Investors are lining up to give them money. When they IPO, they'll easily be worth over $1 trillion.
There's price competition right now. They're still surviving. If there is price competition, they're the most likely to survive.
Even worse, they train their model(s) on the interactions of those non-paying customers, what makes the model(s) less useful for paying customers. It's kind of a "you can not charge for a Porsche if you only satisfy the needs of a typical Dacia owner".
That eventually fell apart, because upper management couldn't understand agile development, and so they killed it. Never mind that it delivered on time.
But on a small team (4-5 people), I have seen even less process. There was a manager who coded half-time. There was an overall direction, and discussions as needed. Each person had their area of specialty within the code. There were code reviews before checkin, but the code reviews were over-the-shoulder in someone's cube. There was a bug database, but there was no JIRA or other "ticket" system. (There eventually was, after the team grew. And there eventually was a quarterly planning meeting.)
There was a weekly standup for the larger team (20 people). But within the smaller team, each person kept their own to-do list. When your code needed to interface with someone else's, the two of you would hammer out what the interface was.
That won't scale too far. And it risks the mismatch with upper management that the XP team ran into. But for a small team, it can work.
There are only two types of ppl: "the wrong kind of crazy" and "the right kind of crazy". Why would I want to connect with the wrong type of crazy? Ok, I don't work as a waiter.
Every time a surveillance system and violation of privacy rights is advertised in the EU as a solution against child abuse and trafficking I ask myself how such a system could have changed the outcome of a case like Dutroux. Would have been the dozens of witnesses and police officers involved in the investigation suicided a way sooner, later, more silently, or at all? We will never know...