You know what happens when you use too much AI? Some important skills atrophy, and when you need to do the more complex job that the AI can’t do, it will be even harder to do the more complex thing, because you’ve lost some base skills you rely on.
This doesn’t apply only to coding: https://lucianonooijen.com/blog/why-i-stopped-using-ai-code-editors/
Can we prove AI can do the job of the CEO?
I cannot wait for Shopify to go away. Yet another company that feels like an infestation.
Right?
“Oh you typed in a phone number/email address in a required field? Here’s some spam you never asked for that we want you to confirm so we can continue spamming you, please bro just confirm it bro, just type in the code we sent you bro”
I love AI and use it everyday, but right now it absolutely lacks logic, even the reasoning models and thus it really cannot replace a whole person outside of what 1 prompt can give you which is not a career.
So basically a CEO
My company just did the same thing. I wonder if it’s the VC’s dictating that down through the board of directors, or if this is just a viral leadership trend.
So it Latke going to fund the resources needed to validate whether AI will work or not?
Dystopian.
Also:
These weird, creepy attempts at upboarding onto AI, sound like they are projecting FOMO onto people, for profit, of course.
I like AI, but we are still in the biplane era of development. It will take a long time before it can handle most things, let alone unsupervised.
If Shopify goes follows through with imitating Musk’s stupidity, I expect the company to end up as a case study.
Well, first the CEO is asking for proof of a negative, so anyone with a logical brain cell just has to shake their head and repeat “it’s for the paycheck.”
We can assume CEO means “show me you tried to use AI and it’s not working well enough,” which isn’t all that bad of a directive but it’s got the huge gaps of “do your people really know how to use AI?” and “are they using the correct, latest versions of AI for the task they are attempting?” But, it may stand up a few use cases for AI that would have otherwise used expensive meat sacks to do what must be fairly boring rote recitation work if they can be adequately replaced by AI.
The problem comes when senseless metrics get pushed down that amount to: a certain number of AI projects must be greenlighted, regardless of how dreadful they are in practice.
AI is a tool, it can save labor, it can relieve human employees of tedious work, it can’t do everything. All this “big personality” top level management of large and very large organizations with broad stroke metrics leads to mass stupidity when the underlings blindly follow orders, and I suspect - within its limitations - AI will always follow orders, so getting AI into middle management will only magnify the idiocrazy.
thats a golden opportunity for some sweet malicious compliance.
let ai fuck your codebase then spend a long time to fix it.
More like they’ll fire you for not babysitting it, then hire some “techy” dudebro at half the wage to keep babysitting it until they get the prompts right (by sheer dumb luck), then fire the dudebro.
The dudebro doesn’t know how to program, they’ll just vibe code all over the place and it won’t be any better.
not such thing as getting the prompts right.
ai can’t write good code, and they will sooner or later need actual coders back.
Why do I get the feeling that the hot new thing for CEOs to do is ask AI whenever they need to make a decision. Would explain a lot.
We hit rock bottom a long time ago: https://dealbreaker.com/2007/10/icahn-explains-why-are-there-so-many-idiots-running-shit It takes power tools to make progress in the bedrock.
Someone somewhere is already asking whether a CEO’s job can be done by AI.
It is literally one of the jobs, AI is best fitted to kill 🤭
It is all statistics, just like LLMs
Funny I was just wondering the other day if companies that practice vibe programming also practice vibe management.
Vibe management (and investment) is a time honored tradition. It brings you such magnificent results as Theranos.
It still amazes me that all of those investors and endorsers were so dazzled by her sales pitch that nobody bothered to actually get confirmation of any of the technical details. They just believed…that’s it.
In my experience, the further up the foodchain you move (from worker bee to manager, director, VP, CEO, Board, Investors) the more they take for granted, the more they “go with their gut.”
“Oh they’re at the highest level of leadership? They must be really smart”
Meanwhile anyone with a brain understands the Peter principle.
I know for certain the CEO at my company is like that. Not even how or why to do something, but what we should do. Fucking mental
Hey Tobi, why do need to pay you any bonus moving forward? What did you do the AI couldn’t?
Shopify is a stupid fucking name. I can only assume the company and service is equally as stupid.
Are you trolling or have you really never heard of shopify? Prolly every ecommerce website you’ve ever visited was built by either wix, big commerce or shopify with shopify (iirc) holding the largest market share of the 3. That may have changed since I last looked at adding e-commerce builders to my investment portfolio but theyre definitely top 3.
I’ve heard the (stupid) name before but had no idea what they did. Not everyone on Lemmy works in tech or has investment portfolios… But it sounds like if I’ve bought something online I’ve probably used them before?
Yep. You’ve probably heard of square space, shopify is similar. All the online small businesses I know use it, and many larger ones too
Next thing you know he’s going to say WordPress isn’t used by anyone.
It’s being used by less people now because their CEO is a fucking idiot who’s trying to destroy it.
Id tell them I can get AI to do anything they want. They’re the ones who will be paying for me to spend not hours but days tweaking prompts to get whatever shit they want done that could’ve been done faster cheaper and better with appropriate resources so fuck it I’m in.
Ah yes more paperwork is certainly going to make your employees more productive. Why don’t you also require them to prototype if kicking a rock against the wall 10 times does the job, instead of actually letting them do the job?
I develop AI agents rn and have yet to see one that can perform a real task unsupervised on their own. It’s not what agents are made for at all - they’re only capable of being an assistant or annotate, summarize data etc.
So his take on ai agents doing work is pretty dumb for the time being.
Though AI tool use proficiency test is very much unavoidable, I don’t see any software company not using AI assistants so anyone who doesn’t will simply not get hired. Its like coding in notepad - yeah you can do it but its not a signal you want to send to your team cause you’d look stupid.
Honestly, AI coding assistants (as in the ones working like auto-complete in the code editor) are very close to useless unless maybe you work in one of those languages like Java that are extremely verbose and lack expressiveness. I tried using a few of them for a while but it got to the point where I forgot to turn them on a few times (they do take up too much VRAM to keep running when not in use) and I didn’t even notice any productivity problems from not having them available.
That said, conversational AI can sometimes be quite useful to figure out which library to look at for a given task or how to approach a problem.
Honestly, AI coding assistants (as in the ones working like auto-complete in the code editor) are very close to useless unless maybe you work in one of those languages like Java that are extremely verbose and lack expressiveness.
Hard disagree. They’re not writing anything on their own, no, but my stack saves at least 75% of my time, and I work full-stack across pieces in 5 different languages.
Cursor + Claude was the latest big shift for me, maybe two months ago? If you haven’t tried them, it was a huge bump in utility
If you spend 75% of your time writing code you are in a highly unusual coding position. Most programmers spend a very high percentage of their time understanding the problem domain and on other parts of figuring out requirements and translating them into something resembling some sort of semi-formal understanding of what the program actually needs to do. The low level detailed code writing is very rarely a bottleneck.
