lol, "if only someone had warned us about this sort of thing?!"
Uncategorized
42
Posts
31
Posters
3
Views
-
-
@Lazarou "double checking" and "accident".
EPIC.
seems like today double checking is some kind of failure š -
@Lazarou meanwhile my ceo
@agasramirez @Lazarou all CEOs went to the same "cool kids" CEO school.
-
-
-
@Lazarou God I hope this post is true
It has been moderated away on #Reddit. Several commenters suspect that it is fake.
https://www.reddit.com/r/analytics/comments/1r4dsq2/we_just_found_out_our_ai_has_been_making_up/
Of course their rationales in some cases have been that it cannot be true because the poster and the people in the poster's company certainly would not have been so dumb as to really do this.
-
@agasramirez oh wow, I've heard talk of this attitude but to actually see it in action!
@Lazarou As a CEO (which I am not) I would be happy, if there were still persons in my company, who are not totally relying on LLMs.
@agasramirez -
@Lazarou I have my doubts about this post.
I do not doubt that AI can and will produce fake insights. A very easy way to get that is to ask an AI questions whose answers are not in the numbers youāre feeding it. Or your questions are heavily biased towards things you want to hear (āShow me how campaign X increased saleā).
But unless youāre completely ignorant of your own business, you will notice it quickly. Especially if it goes on for 3 months. I deal with a lot of managers and every single one of them looks through raw data. Every system (with or without AI) is faulty and they fine comb every bit that influences their salary relevant metrics.
-
@Lazarou I don't get how LLMs are needed for analytics? This field is basically about counting numbers, statistics magic and visualization. Isn't it?
I mean, asking an LLM what kind of statistical sorcery would be needed to measure this and that and ask it for a small python script will probably work (if you double check everything). But what did they do, to come to a situation where an LLM makes up data for months? š¬
-
@Lazarou Completely deserved
-
@Lazarou
Wonder if Trump uses AI to generate statistics about the US economy š¤ -
@t8g @fred @Lazarou The post has been deleted by reddit moderators
https://www.reddit.com/r/analytics/comments/1r4dsq2/we_just_found_out_our_ai_has_been_making_up/
-
@Lazarou
I wish they'd stop calling it "#AI".It isn't. Not even close. I went to college to study #AI decades ago.
What they are calling "AI" today is nothing more than "deep database scrubbing".
It *assumes* an answer is correct based simply on the number of results it finds supporting that conclusion.
#GIGO: Garbage In; Garbage Out.
@MugsysRapSheet @Lazarou Garbage in Garbage out is such an old principle in computing and yet it's only now we're really seeing it's effects.
-
@Lazarou As a CEO (which I am not) I would be happy, if there were still persons in my company, who are not totally relying on LLMs.
@agasramirez -
@agasramirez Sounds like a "decision " made by an LLM. š @Lazarou
-
@Lazarou I don't get how LLMs are needed for analytics? This field is basically about counting numbers, statistics magic and visualization. Isn't it?
I mean, asking an LLM what kind of statistical sorcery would be needed to measure this and that and ask it for a small python script will probably work (if you double check everything). But what did they do, to come to a situation where an LLM makes up data for months? š¬
@flxtr @Lazarou I've seen a ton of analysis reports done by agents and just trusted with little or no verification, looking for wrong database lock strategy, to reasons for errors in logs to data quality issues. It would not surprise me at all that someone pointed an agent at a database or something like crystal reports or even just a bunch of spreadsheets and asked it to summarise them based on a list of KPI, the results would genuinely be that bad without a bunch of hard work.
-
@Lazarou meanwhile my ceo
@agasramirez @Lazarou If everybody should be using AI, it seems weird that he suggests meeting one-on-one to discuss it.
I recently went to a Microsoft seminar for work. They were full-on āeverything is AI nowā which I had no interest in. So I found the only breakout sessions WITHOUT AI.
What I found was a much smaller group of people attending and the people leading the sessions actually knew WTF they were doing and I got a lot of one-on-one time with the experts. š
-
@Lazarou Darwin Business Award š„
-
Gli ultimi otto messaggi ricevuti dalla Federazione
-
@rasterweb https://behindtheviewfinder.com
Iāve had my blog for over 15 years but recently restarted it with new design and a new concept for type of posts i want to publish including automatic syndication to fediverse
-
@Weco ciao e ben arrivato!! :)
-
Ciao! Arrivo qui dopo aver girato a vuoto altrove. Mi ha spinto un pensiero: vedendo cosa cercano gli altri da noi per ritrovarsi, ho capito che dobbiamo proteggere quel "qualcosa" che abbiamo sotto il naso.
āViaggio molto con la testa e cerco di capire come la tecnologia possa salvare ciĆ² che ĆØ autentico e fatto con cura: piĆ¹ che un interesse, ĆØ una cultura.
āSe preferite la cura di un pensiero alla frenesia del tutto e subito, andiamo d'accordo.
ā#Introduzione #NuovoUtente #Pensieri #Lentezza
-
@rasterweb Although Iāve been starting and stopping for years, I really love doing this now:
-
Che poi si accusano sempre gli admin, e invece ā¦
Ā«Geometra, va bene se il tombino lo scavo qui?Ā»
Ā«Tranquillo! Cosa mai puĆ² andare storto?Ā»
-
LāUE come gli USA, la stretta sui migranti irregolari rischia di innescare un modello āICEā. Lāallarme di 88 ONG
@news
https://www.eunews.it/2026/02/16/lue-come-gli-usa-la-stretta-sui-migranti-irregolari-rischia-di-innescare-un-modello-ice-lallarme-di-88-ong/
Nella proposta di regolamento sui rimpatri figurano raid nelle abitazioni private e blitz negli spazi pubblici, insieme alla raccolta e allo scambio massivo di dati nellāUnione Europea, allāuso di sistemi biometrici e a
-
š“L' #AI amplifica ciĆ² che siamo disposti a pensare.
Se il cogito ĆØ debole, l'amplificazione produce rumore e l'individuo si perde nell'oracolo tecnologico.
Se il cogito ĆØ forte, l'AI diventa strumento riflessivo junghiano, spazio di confronto e banco di prova delle proprie idee.
Il cogito, il pensiero critico e l'elaborazione cognitiva, si possono allenare.
-
@filippodb ti ringrazio molto
