smartmic

Is this similar to Datalog where you have facts and rules?

I guess I am one of the dinosaurs here if I still use HTTrack for such things?

https://www.httrack.com/

Ditto. I think this article touches some important points (unfortunately AI-written): https://medium.com/timbr-ai/sql-vs-sparql-in-the-age-of-ai-w...

> every day the front page is filled with mostly LLM-related announcements.

I agree, that HN has mostly lost its spirit and soul and feels more like a AI-announcement bot.

> Whilst I appreciate the impact of AI and its long-term implications for humanity as we know it

I disagree, that the impact of AI and its long-term implications for humanity are for our common good. I think its the other way around.

Do you have any insights or technical details about their implementation?

I am in an enterprise which experiments with ontologies and knowledge graphs since its hype heydays ca. 15 years ago. It never took off, good ol’ relational databases and its modern day implementations in the cloud still rule the data landscape. Many smart consultants tried their best and we spend many millions over time into it. I would love to read more success stories, but they seem to be rare beyond academic exercises.

That’s good. I wonder how much longer it will take for countries to make their energy supply dependent on fossil fuels or nuclear power, thereby becoming pawns of unpredictable or hostile regimes and being helplessly at the mercy of geopolitics. It’s so baffling that many countries, even those with plenty of sun and wind, still prefer to rely on fossil fuels rather than make life a little easier for future generations.

And no, there will be better solutions for base load as well. Battery storage, for example. Sure, it’s a transformation, but those who refuse to think for the future can see the consequences of stubbornness and backward-looking attitudes today.

Short: no more leap seconds

There is a spectrum between using AI as tool and for automation. As humans are lazy, they always go more for the automation end if it accessible. And the human skill at stakes is brain capability. So yes, I agree: AI looks like an apocalypse for human thinking.

Found this one: https://usehax.dev/

Anyone experiences with it?

I wonder what is the value of such vibe coded programs. It can't be the implementation or engineering aspect at all, when generated by AI. Is it the idea? Should it be a tribute to Craig Reynolds in this case?

Related to this: see the difference between China and US here: https://aidatacenterindex.com/compare/united-states-vs-china...

I have the feeling China is somehow ahead when it comes to energy (and cost) efficiency for AI usage. After all, the two are in a direct competition, and this difference is significant. Or is the "hyper" scaling of energy hungry datacenters in US part of a bubble?

What do you mean by “not optimized enough“? Binaries created with Free Pascal Compiler are very small, compilation time is super fast and runtime performance was never an issue for the typical system/userland programs. I think in many ways on par or ahead of other mainstream system programming languages.