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Okay, what's that to say it won't be the same but even worse on a 6mo reporting schedule?

as the time period gets longer, the the more likely it is that the numbers represent the true performance of the business rather than randomness. That has to be balanced against the fact that investors get less frequent updates i.e. the information is now potentially 6 months out of date rather than 3 months at worst. But then its just a judgment call of the relative benefit of each - you could argue that with modern accounting systems, modern companies could deliver weekly or even daily earnings , which would give investors much more timely information, and the high frequency would probably mean it wouldn’t be worth making the effort for management to fudge the numbers to bring forward or delay revenue one day or one week. There would be a lot more variance in the numbers if they were daily, but thats a good thing - it would just reflect the underlying randomness, and then the investors could decide when the accumulated trend over a period of time is meaningful or not, instead of management wasting time massaging numbers into a fairy tale of steady growth.

In every sales-led company quarter end is a shitshow. It'll be even worse if there's only one chance to bring the numbers back in instead of 2 or 3. It's used to put pressure on sales teams, but the net result over the year is never good because it sours relationships and reduces overall deal value.

The best thing would be continuous daily or weekly reporting with no defined year end. Unfortunately the entire global system of tax and accounting is set up around annual reporting, so change is impossible.


How is 2 data points a year "representing the true performance of the business" but 4 data points a year is randomness?

You also get less frequent CPU usage % datapoints when you want to be sure about usage? That makes no sense at all.


People calling it out seem to be getting downvoted, too. Sure, let's trust this one-day-old cryptobro's vague criticism of difficult enforcement.


    By the looks of it, I don't even think I'm replying to a human.
They didn't even bother to remove any of the signals. Perhaps this post is actually a honeypot for these bots.


    Then the original sender gets quiet. Then I get an invite to a meeting to discuss with a
    wider audience.
One of the most infuriating aspects of working in corporate with people where English is not the primary language.


No, I don't think they would. I've never heard of Vaughan and assumed one syllable like the parent commenter.


Because they're supporting the US regime.


Considering that user is just a LLM output bot... It seems they aren't good at much.


You're trying to converse with a LLM. It's made up.


Nope it’s 100% legit and I even remembered it wrong. It’s actually 0.6 TW.

You can get the number of TW from this report https://ourworldindata.org/energy-production-consumption

Convert TWh to TW for a year average.


jfc. What is the point? What do people get out of doing that?


I don't know, but HN in particular has an AI-sycophancy problem where I see this most common versus other link aggregator sites.


Once you use a LLM, the room is no longer clean.


Does that hold up if it’s in an entirely different language?

Because I don’t think so


[flagged]


Human training and AI training are legally distinct processes.


No, it isn't. A human wasn't trained on the material they're trying to reproduce.


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