Readit NewsYour rant would be akin to this if the sides are reversed: "It's surprising how many different ways there are to describe the same thing. Eg: see all the notations for dictionaries (hash tables? associative arrays? maps?) or lists (vectors? arrays?).
You don't have "the manual" of programming languages. "
A little off topic perhaps, but out of curiosity - how many of us here have an interest in recreational mathematics? [https://en.wikipedia.org/wiki/Recreational_mathematics]
I understand that some degree of formalism is required to enable the sharing of knowledge amongst people across a variety of languages, but sometimes I'll read a white paper and think "wow, this could be written a LOT more simply".
Statistics is a major culprit of this.
Pretty funny you're jumping straight to warfare. This proves why Americans cannot be trusted.
In any case, it's better for me that the Americans will need to start a war with the EU to get at my data instead of just giving it to them.
Any nation with any amount of leverage has abused it.
It rarely makes economic sense to deploy workloads onto the public cloud unless you have critical uptime requirements or need massive elasticity.
I have yet to see anyone show me an AI generated project that I'd be willing to put into production.
IDK, I feel like 'vibe coders' or people who heavily rely on LLM's have allowed their skills (if they ever existed) to atrophy such that they're generally not great at assessing the output from models.
The first MacBook Airs were wildly impractical and expensive.
The first iPad suffered from the same issues.
Various iterations of the iPod nano were functionally kneecapped.
I see a lot of cherrypicking and not a lot of reasoning in this essay.
> Hand it off. Delegate the implementation to an AI agent, a teammate, or even your future self with comprehensive notes.
The AI agent just feels like a way to create tech debt on a massive scale while not being able to identify it as tech debt.
The benefits you might gain from LLMs is that you are able to discern good output from bad.
Once that's lost, the output of these tools becomes a complete gamble.
They’ve made plenty of things. I liken them to the Lexus of consumer electronics; expensive for what they are, thoughtfully designed, and conservative in their approach to adopting new trends.