hdhshdhshdjd

The time it takes to write a utility function is less than the long term pain of dependency hell and all this tooling.

I suggest you go read through your CS 101 textbook.

$ python3 thing.py

Don’t see the hassle there.

This “punishment” is a joke, these people are mass killers they should be in jail.

Very bad look.

So the tables are much simpler to manage, much more portable, so I can serve search off scalable hardware without disturbing the underlying source of truth.

The downside is queries are more complex and slower.

Which is to say JSONB is useful, but I wouldn’t throw the relational baby out with the bath water.

Early stage everybody wears 10 hats, work is distributed and prioritized on a day to day basis.

Once you have dedicated people or teams for task domains then the whole thing shifts to having a need for bureaucracy.

You can slice the number of pizzas anyway you want, but imho once people have a “this is/isn’t my job” mentality (which again, is not a bad thing), you really need to focus on role boundaries and coordination. But the “startup” part is in the rear view.

Small models are like arm: you get much of the performance you actually need for common consumer tasks, very cheap to run, and energy efficient.

We need both but I personally spend most of my ML time on small models training and I’m very happy with the results.

Coding can be similar to playing an instrument, if you have mastery, it can help you be more expressive with the ideas you already have and lead you to new ones.

Whereas if we take away the craft of coding I think you end up with the type of code academic labs produce: something that purely starts on a “drawing board”, is given to the grad student/intern/LLM to make work, and while it will prove the concept it won’t scale into long term, as the intern doesn’t know when to spend an extra 30 minutes in a function so that it may be more flexible down the road.

I’ve been paying for GPT since 3.5 debuted and I know what I’m getting - full, unlimited use of the best model. Period.

Anthropic needs to figure out what the hell they are selling.

On the other side of the pond the same generation of voters gutted the UK under Thatcher, then sacrificed their children and grandchildren at the altar of Brexit.

The generation who destroyed the social safety their parents gave them is on the hook for this, even if the majority of them also get to enjoy the fruits of their decisions.

The job of the EU is protect and benefit the EU, not American companies. The DMA is not a “general” regulation like the GDPR that applies to all, this is a tailored approach to help EU companies.

I see no evidence actual findings are changing.

Lots of people have good science to contribute and suck at writing English. Making findings easier to digest isn’t bad per se.

String disagree: if that’s true you likely don’t even need a proper RDBMS in the first place.

An ORM is not a replacement for knowing how SQL works, and it never will be.