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So what? Why is it important to have 24/7 solar, that you cannot have on the ground? On the ground level you have fossil fuels.

I wonder if you were thinking about muh emissions for a chemical rocket launched piece of machinery containing many toxic metals to be burnt up in the air in 3-5 years... It doesn't sound more environmentally friendly.


Getting enough energy for your AI data centers is one of the most limiting factors for AI technology.

Solar in space is about 5-10x as effective as solar on the ground.


So what? Just build some nuclear power plants if AI data centers are so important. It can even work at night when it is infinitely as effective as solar on the ground!

Also I'm astounded how important AI data centers are when we are running out of freshwater, to mention a thing we could easily solve with focusing our efforts on it instead of this. But yeah, surely the Space AI Data Centers (aka. "SkyNet") is the most important we must build...

Also this is just about Elon jumping the shark...


So DuckDB was developed to allow queries for bigish data finally without the need for a cluster to simplify data analysis... and we now put it to a cluster?

I think there are solutions for that scale of data already, and simplicity is the best feature of DuckDB (at lest for me).


> "So DuckDB was developed to allow queries for bigish data finally without the need for a cluster to simplify data analysis... and we now put it to a cluster?"

This is a fair point, but I think there's a middle ground. DuckDB handles surprisingly large datasets on a single machine, but "surprisingly large" still has limits. If you're querying 10TB of parquet files across S3, even DuckDB needs help.

The question is whether Ray is the right distributed layer for this. Curious what the alternative would be—Spark feels like overkill, but rolling your own coordination is painful.


Big fan of this push back, because there are alot of projects that have that smell over engineering with the wrong base. (especially with vibecoding now) Thought there are use cases where some have lots of medium-sized data divided up. For compliance, I have a lot of reporting data split such that duckdb instances running in separate processes work amazing for us especially with lower complexity to other compute engines in that environment. If I wanted to move everything into somewhere a clickhouse/trino/databrick/etc would work well the compliance complexity skyrockets and makes it so we have to have perfect configs and tons of extra time invested to get the same devex

I'm on board with the feelings of the mentioned classmate about nihilism, but to be honest, reading The Sirens of Titan from Vonnegut, which is considered a comic novel for some reason, has the same impression on me, and that is an all-American classic. Neither are bad books per se, and also I can understand the reasons also why Vonnegut had such a bleak view on affairs, as he had gone through a lot, and was in a hard situation at the time of writing, but it is not a comedy, and not funny.

Note: The interpretation on the difference between American and British view of affairs is almost Eastern-European (/me Hungarian), but you can set up that relation to Britain and Eastern Europe also, so this may be related geographic longitude :)


wow, a whole workday a year! People spend more time arguing on the internet in topics of no impact to their lives each year.


I'd still consider that toil (repetitive, manual, automatable work).


the beauty of beancount (and other plain text accounting ledgers) is the ability to automate them. I also have to go over my accounts in my bank app's automatic categorization and revise them every month, as some transactions get mislabeled.


Arguing is fun though


Yeah ok but tabs really are better than spaces!



How are we getting that out of a tree


https://en.wikipedia.org/wiki/Charcoal

Did you ever do a barbecue? You first burn the light, hydrogen-rich substances of the firewood, with a large beautiful flame; that flame would burn down the meat, but it burns off quickly. What remains is charcoal, the source of most heat in the firewood; it does no produce a visible flame, but emits a lot of heat. It is mostly carbon.


I hope you don't imply that the 10 star ratings on IMDB are not organic... The system is definitely not rigged :D


The first seasons were captivating. This last one? I walked out of the room, to do some housework, came ban 10 minutes later, asked what happened? Answer was a simple sentence.

I was also gradually switching to treating this season as a background noise, as it fails to be better than that. It is insultingly bad at places even consumed this way.


> Should Netflix be able to push recommended settings to your tv?

No.


I don't know what are you talking about, there at zillions of 10 star ratings on IMDB! /s

It was 10 stars before it was even released... Are humans still needed at all? Just have LLMs generate crappy content and bots upvote it.


The Intel–Nvidia collaboration has just received the green light from the competition authority, with Nvidia purchasing a 4% stake.

Nvidia is expected to sell GPU intellectual property at a bargain to the entry-level segment, making it unprofitable for Intel to develop a competitive product range. This way, Intel would lack both the competence and the infrastructure internally to eventually break Nvidia’s market share in the higher segments.


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