US CEOs experience imposter syndrome
It's not imposter syndrome if you're really an imposter.
US CEOs experience imposter syndrome
It's not imposter syndrome if you're really an imposter.
A short read, but I really got a lot out of it. One thing I've started losing with the rise of AI and didn't realize until now is the communication with coworkers about current problems we're working through. I reach out to people in the git-blame log, and others used to reach out to me. But now everyone asks the AI, so we're even more siloed than before.
It feels less like we're working together and more like we're working next to each other.
The workflow was: Google it, find Stack Overflow, maybe actually read the documentation (said as a joke, but not really).
Anyone that says this is not good at their job in the first place. I (and other actually competent devs I've talked to about it) have always gone straight to official documentation first. Stack overflow has its place, but it is not the first place to research.
I'm not sure humans can do anything continuously without learning. It's just a question of what your brain is filtering down to habit and experience. If your enemy is the compiler saying 'error on line 314' and line 314 is blank, you know to take a deep breath and start checking semicolons and braces. If your enemy is Copilot emitting 'assert true' tests, you know to grumble and move down a level in the specificity of your instructions.
At the end of the day - does the project work?
I’ve never used a LLM willingly, and otherwise avoid interaction with them where possible.
My base impression from interacting with those who actively choose to use LLMs, and unironically call them ‘AI’, is they’re a competency and credibility chipper.
It’s one thing to leverage a tool, where it makes sense for a task, and can otherwise be justified, but there’s a carcinogenic effect on cognition at play with prolonged exposure to whatever form LLMs are in today.
Also, happy 29th anniversary of Judgement Day.
I'm critical about a few points of LLMs (such as data stealing and licencing issues, big companies controlling online only and destroying environments and buy all RAM and so on), but not entirely against it.
Just wanted to say that the current LLMs we have are the closest thing to an Ai we ever had. Now what does the word artificial intelligence mean? And that's it, the word is something different based on definition and context. There is no single correct definition for this word. We also used the term Ai way long before LLMs. And they were Ai too, let alone we use it still. In example in videogames we have Ai in form of NPCs or enemies. That is a completely different definition and technology of the word, but its the same word as used by LLMs.
Maybe you are thinking off general AGI? Because that is a whole lot of different conversation, AGI and self awareness. If you think in those terms, sure, then its laughable to talk about Ai being somewhat intelligent. I personally see LLMs as auto complete with very complex algorithms and huge databases behind it. And that is one form of Ai.
For me, a core requirement for intelligence is comprehension, something a LLM is intrinsically incapable of possessing nor performing.
‘Artificial Intelligence’ has been used for decades, but it has never functionally been anything more than a marketing term; originally conjured for a grant proposal, and subsequently oozed into entertainment and politics.
No one who is impressed by the function, or output, of a LLM to the level they consider it to be in any way adjacent to intelligence, should be involved in a decision making process which affects anyone not similarly cognitively impaired.
I think the way the word Ai we used in the past for computer programs and games, and with the modern LLM is, we actually mean "the illusion of an intelligence". Because that is what the term Ai in most cases mean. Ai is as much of an illusion like VR is not a real reality. Maybe we should have called it Vi, for Virtual Intelligence. But that is just yapping about the words, where their meaning doesn't change just because you use a different word.
Yes, there are lot of people who don't understand the technology and think Ai is comparable to the way how "real" intelligence work. But in reality it is just perceived to be intelligent, making it a virtual illusion of it.
That there's a gap between "it works" and "I understand why it works" and that gap is getting wider, not smaller.
20 years from now, important shit will go sideways, and no one will be able to fix it. That's the world you're building and that's the world your kids will blame you for.
The Google-versus-AI point in there is the one I'd hold onto. Searching made you read three wrong answers before the right one, and the wrong ones were where you learned what the problem actually was. Getting the answer straight away skips that without it feeling like anything is missing.
What I'd say to a junior is to keep reviewing the diff properly rather than reading the summary of it. Reading code you didn't write is worth getting good at either way, and reviewing agent output gives you more practice at it than any job I've had before.
Is a boss just delegating work or leading?
A boss is not learning from other's people work
.... yes, thats how all of us learn. what a weird comment. do you really think you just magically know everything? we all benefit from the people who came before us.
EDIT: i saw the downvotes and actuslly had to verify the community i am in. i really am curious. to the people who do think we learn from others.. how do you think you obtained the knowledge? how did you learn to program?
It's just jibing. I don't think the comment was meant in earnest. Many, including me have had bad bosses and felt unheard and left due to it.
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