Average Is All You Need
Posted by AlexC04 3 days ago
Comments
Comment by jihadjihad 2 hours ago
But nobody bothered to check if it was correct. It might seem correct, but I've been burned by queries exactly like these many, many times. What can often happen is that you end up with multiplied rows, and the answer isn't "let's just add a DISTINCT somewhere".
The answer is to look at the base table and the joins. You're joining customers to two (implied) one-to-many tables, charges and email_events. If there are multiple charges rows per customer, or an email can match multiple email_events rows, it can lead to a Cartesian multiplication of the rows since any combination of matches from the base table to the joined tables will be included.
If that's the case, the transactions and revenue values are likely to be inflated, and therefore the pretty pictures you passed along to your boss are wrong.
Further reading, and a terrific resource:
https://kb.databasedesignbook.com/posts/sql-joins/#understan...
Comment by drfloyd51 3 hours ago
Why didn’t the boss ask the AI for the charts to begin with?
Everyone’s income is going to be below average, because they got fired.
Comment by CodeyWhizzBang 3 hours ago
I might not agree with the point, but I can see that idea that many things just need to be "good enough" (which we might define as "average") and we save our real expertise for the things that really matter.
Comment by sva_ 3 hours ago
s/average/median
Comment by jagged-chisel 3 hours ago
Comment by wongarsu 3 hours ago
But it is useful to question whether that is true in all cases. The cases that aren't normal-distributed might be exactly the cases where it pays off to be neither average or median
Comment by programjames 3 hours ago
Comment by analog31 2 hours ago
Comment by roenxi 3 hours ago
The people who need to be above average and exceptionally are senior management and maybe a few bright sparks in middle management. Most of the value-add happens there that builds social machines that then do the work.
> If average is all we need, then anyone can do it.
Pretty much, yes. That is why the range of salaries on offer is pretty compressed compared to the range of returns capitalists get.
Comment by bluegatty 3 hours ago
Comment by HWR_14 2 hours ago
Comment by bluegatty 2 hours ago
That's like saying 'cars were better made in the 1950's because they used tons of steel'. Like they were 'heavier and more robust' - but that doesn't mean better.
Foundations are way better, more robust, especially weatherized. Windows today are like magic compared to windows 100 years ago.
What we do more poorly now is we don't use wood everywhere, aka doors, and certain kinds of workmanship are not there - like winding staircases, mouldings - but you can easily have that if you want to pay for it. That's a choice.
AI is power and leverage, it will make better things as long as it's directed by skilled operators.
Comment by HWR_14 1 hour ago
The precision of how the wood or material meets is worse (when cut at the site). There is a huge amount of sloppy work in modern construction.
Comment by raw_anon_1111 2 hours ago
No one has ever differentiated themselves based on how good of a ticket taker they are. Coding especially on the enterprise dev side where most developers work has been being commoditized since 2016 at least and compensation has stagnated since then and hasn’t come near keeping up with inflation.
In 2016, a good solid full stack, mobile or web developer working in the enterprise could make $135K working in a second tier city. That’s $185K inflation adjusted today. Those same companies aren’t paying $185K for the same position.
My one anecdote is that the same company I worked for back then making $125K and some of my coworkers were making $135K just posted a position on LinkedIn with the same requirements (SQL Server + C#) offering $145K fully remote.
Comment by Ancapistani 16 minutes ago
I 100% agree here.
AI has been a huge boon for me personally, because I stopped spending most of my writing code years ago. I was reviewing code, writing procedures, handling incidents, and generally just looking for pain points across the entire company and solving them before they became critical.
Those skills have transferred directly to working with AI.
Comment by j45 2 hours ago
Comment by jerf 3 hours ago
How stable that is on the long term, I don't know any more than the next guy, but it is where I'm contributing now.
Comment by xg15 1 hour ago
I think this is important, because if his hypothesis is right, then LLMs behave differently here: They really are average in all dimensions. They are the pilots the Air Force thought they had before Daniels made the study.
So if he is right, we'd be changing from a mostly-non-average to a mostly-average society, which would really be a massive change - and probably not a good one IMO.
[1] https://noblestatman.com/uploads/6/6/7/3/66731677/cockpit.fl...
Comment by throw310822 2 hours ago
Comment by sdevonoes 40 minutes ago
Comment by winterbloom 3 hours ago
Do you know enough about JOINs and how they work to be able to break those big queries down and figure out whether they are doing exactly what you're asking for in English?
Comment by antihipocrat 2 hours ago
Comment by Ancapistani 12 minutes ago
Comment by movedx01 2 hours ago
When it comes to bs dashboard where "average is all you need", maybe the "better than average" result would be asking yourself if it's even worth doing in the first place?
Comment by montroser 3 hours ago
And there is a lot of that type of work to do if you're trying to grow a business. But, something in there should be trying to be exceptional or else you have no moat. Claude will probably not be able to breeze through that part with the same amount of ease...
Comment by busfahrer 2 hours ago
> ninety percent of everything is crud
Comment by chriswait 2 hours ago
It makes me wonder if Hacker News has a silent majority of people who would actually use AI in this way without wanting to admit it, and a vocal minority of people who wouldn't.
Comment by Ancapistani 9 minutes ago
Comment by montroser 3 hours ago
Comment by jagged-chisel 3 hours ago
The Business simply cannot admit that it’s really doing nothing above average. If they did, investment dries up.
Comment by segh 3 hours ago
Comment by marginalia_nu 3 hours ago
Comment by Retr0id 3 hours ago
I think you can have LLMs do that too, and then generate synthetic training data for "high-effort code".
Comment by marginalia_nu 2 hours ago
Part of the problem is that better code is almost always less code. Where a skilled programmer will introduce a surgical 1-3 LOC diff, an incompetent programmer will introduce 100 LOC. So you'll almost always have a case where the bad code outnumbers the good.
Comment by Retr0id 2 hours ago
Comment by movedx01 2 hours ago
The question is, do we have good enough feedback loops for that, and if not, are we going to find them? I would bet they will be found for a lot of use cases.
Comment by bluGill 2 hours ago
/end extreme over optimism.
Comment by utopiah 3 hours ago
Comment by tsimionescu 3 hours ago
Yes, thinking about your data and how to check it is so annoying. Much better to do something average, see if the result puts you in a good light, and share that insight into your company's working with ~~everyone on the internet~~ your boss.
Rarely have I seen "we help you create meaningless slop more easily" advertised so explicitly. Or is this also average?
Comment by bashwizard 3 hours ago
Comment by programjames 3 hours ago
Comment by utopiah 3 hours ago
It's a post claiming average AI is useful... by a for-profit "data platform with a CLI that LLM agents can use directly". What are they going to do? Criticize the whole industry they are selling to?
Comment by Axel2Sikov 2 hours ago
Comment by fedeb95 2 hours ago
Comment by kfk 2 hours ago
Not all context is documented, and some context has to even be changed because it doesn't make sense.
I find AI very useful, but I think a lot of this AI SQL products are misleading.
Comment by throwaway98797 3 hours ago
if anything it makes the world more dangerous
a reckoning is coming
the top decile will be janitors for the rest
Comment by mpalmer 3 hours ago
This is not only average. This is actual magic.
So let's be real: the SQL is average. The joins are average. The chart is average. And that took us less than 5 minutes and that was amazing, that is the entire point.
You did not need a data engineer to model your HubSpot data, or a meeting to agree on whether it should be last-click or first-click or linear or time-decay or whatever.
You needed a query, written fast, on data you already own. Your LLM wrote it. You confirmed it made sense. Your manager got a link.
Honestly, average is clearly magic; prove me wrong.
I'll give it a go. This is generated slop, and the poor, factory-made quality of the writing undercuts every aspect of the argument.It is like nails on a chalkboard.
Comment by Axel2Sikov 2 hours ago
Comment by JackSlateur 3 hours ago
A car that starts 50% of the time ?
A plane that stops on 50% of the flights ?
A pacemaker that beats only 50% of the time ?
David Goodenought said that average is enough ..
Comment by CodeyWhizzBang 3 hours ago
Comment by JackSlateur 3 hours ago
Comment by CodeyWhizzBang 1 hour ago
"Whereas before, average was expensive in terms of both time and effort, average became cheap."
Comment by antisthenes 2 hours ago
Pass.
Comment by throwaway613746 3 hours ago