In other words, one needs to have absolute trust in such tools to be able to rely on them.

I personally can't take this self promotion that has become very necessary in many parts of our industry so I stay clear of places where it is exercised.

Sigh.

I agree with the general sentiment of your points, but aren't those 10-20-30% layoffs an attempt to make the bottom line look better before the call with the investors? In my experience most layoffs have a goal to reduce spend by X rather than churn underperformers. And often times managers aren't even allowed to target based on merit, but on some weird metric which is a mixture of compensation and impact.

The answer is also known. So the reason one would want an open source model (read reproducible model), would be that of ethics

For example in chess AI is already far better than humans. Including on tasks like evaluating positions.

Admittedly, I use "AI" in a broad sense here, despite the article being mostly focused on LLMs.

But it's indeed a nice and relaxed take on tetris.

There is also the aspect of reinforcing existing memories which is easy to miss with this criteria. In the sense that any single given experience won't significantly alter your life, but if you remove all of them, suddenly a change happens.

I for once had my gears grinding trying to recall my patterns and predict moves of the "AI". Especially past round 20.

For me the key point in such projects is always handling of distributed queries. It's exciting that pgDog tries to stay transparent/compatible while operating on the network layer.

Of course the limitations that are mentioned in the docs are expected and will require trade-offs. I'm very curious to see how you will handle this. If there is any ongoing discussion on the topic, I'd be happy to follow and maybe even share ideas.

Good luck!

Could you elaborate?

Perhaps the problem isn't as much the lack of political will, but rather lack of competence.