> I never saw one in a TV show

Now that you mention it, I think I only remember one from the simpsons.

But based on [1] my mom really was an outlier for getting a fax machine. Mabye we had enough contact with beurocracy to make it work it. :D Even in 1995 only 1.5 million out of 36 million (4,1%) households had one. (Although I remember it from ~2000, so too bad the data doesn't go there.)

For the US with 14 million out of 98 million households (14%) fax machines were more popular for ordinary households than in germany. (But home-use was never the issue in the fax debate anyway, just fun facts :) )

[1] https://www.oecd.org/content/dam/oecd/en/publications/report...

Are you sure about that? I remember we had one at home when I grew up, so I assumed they were very common at the time. (And it's not like we had this crazy business driven family use of it.)

[1] https://www.tagesschau.de/inland/lka-brandanschlag-muenchen-...

Anthropic prohibits the use of claude models for development of lethal technology afaik eg [1].

[1] https://www.epc.eu/publication/the-pentagon-blacklisted-anth...

Interestingly I would have drawn the exact opposite conclusion looking at my Claude and codex usage.

I can't get anything sustained out of codex in chatgpt plus, while I have been using Claude pro extensively and put on a lot of experimental task and features.

I ran into codex exhausting a 5h window on code review in minutes (like 3minutes) multiple times, while I could get Claude to implement 2~3 medium sized features with the same usage consumption.

(I also really dislike the usage resets in codex, they always make me feel like I use them wrong because I often just want to reset the 5h window, but they can only do both at once...)

> The function you added is load-bear-very important [...]

I never felt this mocked by a computer.

Bad example:

    reduce(lambda x,y: x+x.extend([y+2,y*2,y**2]), [1,2,3,4], [])

It's a reduction in the sense of a transformation (also often seen in complexity theory), not in the "this makes this smaller" everyday usage that I think about first.

Now they can freely link anyone to the document.

> ordinary cars can get to 13kWh/100km

Unfortunately I don't have such a car. :)

> which ain't that far from 7.5 you mention

I'd say that needing a 30kWh battery for 400km range vs 52kWh is a significant difference, but that'd be opinionated hair-splitting. 13 is much better and much closer to 7.5 than what my car can do.

> 6.48 kWh/100 km

At a constant 68km/h in perfect conditions (no up/down) and no additional consumers of energy (climate control).

Even on a real route they apparently got some useful stats with 7.51 kWh/100km including charging. Cool.

My car is around 17-20 kWh/100km at a 64kWh battery for a medium cost car in germany. I wish it was even close to that efficiency.

> You shouldn't see mature or complex themes, such as:

> • Profanity

> • Sexually suggestive content

> • Realistic violence or threatening imagery

> • Firearms or weapons in an environment that isn't appropriate

> • Illegal or controlled substances/drugs

> • Explicit references to mature or complex themes that may reflect personal experiences or real-world events that are intended for older audiences

It is clearly described as a content filter. (It also deactivates gifting on live and "following" feed.)

As a type.

"!" is in the most basic example nearly every rust developer has seen:

    println!("Hello, World!");

If the average (and nearly all new) rust developers encounters "fn bla(blub: i64) -> !" I suspect they will mostly go "huh??" (or wonder what kind of weird macro that is) until it becomes common to encounter early and gets it's own early entry in the rust book.

Compared to reading "fn blub(bla: &str) -> Never", which seems rather straight forward imo. However, "Never" might be the name of some actual Struct or Enum in various codebases.

Yesterday I wanted to do a bit of benchmarking a prompt across multiple models. Small requests. Outside the big providers, the experience became awful. This explains that experience.

However, for voicing sentences I use murf.ai, which seemed very nice for korean.

I tried to talk to the openai version in (my bad) korean, and it responded in japanese :D

Aren't the apps just other middlemen that know even more about their users?

Based on some quick search the atlas I used in school in Germany mostly used winkel-tripel projection (or the eckert IV). Does my memory remember the map accurate enough to determine that now? Hell no.