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Wouldn't she have the excuse of truth as defense?

It’s simply satire, not “truth”.

The statement doesn’t claim any fact: it’s a hypotheical not unlike a “based on real events” movie/book/etc that never quotes or attributes specific actions to a subject.

And that’s why Atlassian is very likely to lose over and over as they appeal (but never say never these days in the US).


Was the CEO dialing in from the headquarters of an NBA team they owned? Yes.

Were they calling to aggressively dismiss employee claims (without video I cannot prove "yelling", but that is a way that word is used in common parlance)? Yes.

Does downleveling employees have a significant negative impact on their careers? Yes.

This wasn't satire, it was truth.


The company isn’t suing her for defamation.

That’s a good point. If that was the only thing she said, it’s hard not to see it as a statement of fact (Although I’m sure lawyers could argue about pummeled):

> “What’s up Outragers, just dialing in from my NBA team’s headquarters to yell at the people whose careers I’ve just pummeled,”


I guess in modern time we can compute eclipses from the past?


Seems to be an eclipse at that date, if they weren’t able to predict them, they had to have seen it.


Now that piques my interest. Could you be more specific?

Using Stellarium, set the location to Tres Zapotes, but not knowing how far off the calendar's reckoning would be, the closest I have come is a partial solar eclipse, after 9pm on September 1, -23.

Stellarium literally indicates a "Year 0" so BC years could be off-by-one, or off-by-Julian-and-equinox-precession, I just have no idea.

Wikipedia doesn't list any [Lunar/Solar] that are anywhere near 32 BC.

Previously: https://news.ycombinator.com/item?id=45922610


Sorry that was in French

https://peuplesautochtones.wordpress.com/2022/05/21/sites-ar...

“Il a été proposé qu’elle puisse commémorer une éclipse lunaire qui a précédé une éclipse solaire de deux semaines.” >”It was proposed that it could commemorate a lunar eclipse preceding a solar eclipse by two weeks”

I was very lazy in my search, so I didn’t check anything about this page.


Or they had a detailed record of all eclipses going back several hundred years. I guess it would make sense that this was the record but it's also plausible they had some ritual reason to refer to a date of an eclipse when building this thing.


a continuous chain of memories is enough to consider it the same culture. They did not imply that the date was the carving date, but that the culture extended as far back as that date.


They may not have realized their interpretation is ambiguous until after the incident, that’s the kind of stuff you realize after you find a bug and do a deep dive in the literature for a post mortem. They probably worked with the certitude that record order is irrelevant until that point.


I would also add that there some slack for repairs.


In France those asshole put those cars on a company books to avoid paying the CO2 overcharge and the VAT.


The Dutch ones do the exact same..



Yeah, it’s a big topic in France too. I just saw the current pinacle of this stupidity: a camera in the grille at the front of a Peugeot car.


Naive question: ML tensor libraries don’t use a Z-order memory layout like textures do? It’s not beneficial like it is for textures?


I think that z-order is used to increase speed of loading texture from RAM. But this is not an issue in ML. You usually have all your model weights directly loaded into your GPU memory and you do not need caching for your inputs. At the same time, the entire stack for ML is heavily optimized for other memory layouts already.


I'm very happy that they are trying to re-classify the DSM, it's probably the sign of a maturing medical field. Let's also hope that re-clustering will help with the reproduction crisis.


I think after the big training they do smaller training to change some details. I suppose they feed the system a bunch of training chat logs where the answers are warm and empathetic.

Or maybe they ask a ton of questions, do a “mood analysis” of the response vocabulary and penalize the non-warm and empathetic answers.


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