Need help?
<- Back

Comments (94)

  • talkingtab
    Here is the fundamental issue. We use the word "intelligence" for different things. Can you follow a recipe for making sour dough bread? Pretty easy. Can you make sour dough bread? Not so easy. Does following a recipe require "intelligence"? Yes. If something can follow a recipe can it also make bread? Not necessarily.And another question, perhaps the most important. Can you determine that a recipe is flawed? In immediate terms, if I tell you to feed your sour dough starter every day, can you determine why, how or if that might be bad advice?My conjecture is that there are at least three types of intelligence, as outlined above. And you have to remember that AI is by definition "artificial". Not in the sense of being unnatural but in the sense of artificial sour dough bread. It is not the real thing. (at least for two out of the three definitions of intelligence).This is not to argue that AI is not useful and extremely beneficial in some contexts. Unfortunately our whole system of education has trained us to be "follow the recipe" kind of people. Uh Oh! So if your only skill and ability is to follow recipes, you might want to focus on developing your other kinds of intelligence.
  • j_w
    In the section "Everyone should learn some coding":> I would say that the major unlocks are at: 1-2 weeks: Basic understanding of what the field is about and what general words to use when asking the AI to do something. 1-2 months: Basic understanding of how and when to ask the AI something. 4-6 months: Ability to check the output for correctness (using external sources as needed). 1-2 weeks for enough of an understanding to appropriately use terms? No way. Using Harvard CS50 as a reference, it takes until week 2 to learn about arrays.4-6 months to check output for correctness? Are we trusting fresh bootcampers in their first week at their first job to do prod code reviews now?You can learn a LOT in a short period of time, but it would take much more than casual time investment. This is insane advice on the level of telling blue collar workers to just "learn to code."
  • hopelessluca
    Sorry for the off-topic comment, but what happened to the front page? At the time I’m writing this, 11/30 submissions are related to AI. Maybe my comment is cliché too, but I’m honestly tired of all the AI stuff.
  • okdood64
    I don't see this discussed often enough but high school and universities need to adapt FAST, like yesterday, to the current reality.More in-class study and "hands-on" work with proctored in-person exams. There is no incentive for students to go through their courses "the honest way" and build this intuition themselves. Can you blame them?
  • wg0
    Actually - to disillusion yourself from AI, try dabbling into something you do not know. Try writing a production quality 3D engine. Trust me, a 3D engine has its own domain knowledge besides just graphics. No, seriously. And then see how helpless you feel when you yourself do not have the expertise to judge whether the direction being taken is the right or wrong.At that time, you wish if there were some pipe through which you could reach John Carmack, Tim Sweeney, Gabe Nawell, Jonathan Blow some Casey Muratori and just ask one thing:Sir, is this really the right direction?These tools feel good when you yourself are a domain expert. I have written backend systems and designed REST APIs all my life in multiple languages in Java, Python, Go, Ruby for multiple verticals I'd say I am damn expert at API design including all the layers that go under it and I can confidently give a shut up call to an LLM knowing what I know.Fuck the bean counters and the greedy parasite execs and VPs. Hug a junior today, society will need them tomorrow because I was a clueless junior once and my seniors were very kind to me that I am able to put bread for my family on the table.
  • recursivedoubts
    I think that the universities have an opportunity here to be the places where manual code is written so that juniors can gain the coding expertise necessary to become effective with AI.Many universities are not set up to take advantage of this opportunity because they lean heavily into theory and look down on coding, but some departments will make the pivot well. I hope that ours (Montana State) is one of them.
  • thr1owaway9621
    > Currently, the level of computing intuition needed to additively prompt the coding agents sits at roughly 5 years’ experience level. Today’s seniors were lucky enough to get paid to build their computing intuition, but the gap grows as coding agents continue to improve.I am struggling to interpret what they mean by "gap". Gap between what two things?The gap between juniors and seniors?The gap between ${AI + 0 YOE} and ${AI + N YOE}? Where N is the growing "gap"? Eg, as AI gets better, you need more and more YOE to justify throwing a salaried human into the loop?
  • LurkandComment
    AI is cheap right now. Let's re-ask this question when it's priced to recover profit and ROI.
  • speak_plainly
    I think 'expertise' is a bit of a red herring when what is being discussed is experience.I've always believed that coding and development is an art and something analogous is the experience of a visual arts student. There's a level of experience required when one applies to an art school. The student builds a portfolio of passion projects and demonstrates a passion and skill along with creativity and other beneficial traits. If they are accepted, they learn the deeper theory, techniques, and more that will aide them in their career. This increases their exposure and overall experience.Experience for a young developer is going to start with passion projects and be supplemented and bolstered through education in a similar way. You can take shortcuts as an arts student or a developer but you really just end up hurting yourself.
  • _hao
    I'm doing a degree (part-time) in Mathematics and Physics to get away from AI crap and challenge myself now in my early 30's. The client I work for now has deemed us "AI first"... Even though the back-end work and optimizations that I do are not that impacted I'm just fed up with colleagues that are not programmers (or are programmers that are not on my level) to tell me how to do stuff with Claude or GPT. It's all so tiresome.
  • ygouzerh
    I get the analogy of the calculator. The thing however, is that in college, we had dedicated time to learn how to not use it: classes without it, exams without it, etc.In current job market and pressure, we doesn't have time anymore. You need to be constantly delivering the new jira ticket, and the time expected to perform a task now decreased, as it's expected of the workers that now they are "more productive with AI".
  • einpoklum
    Written by a guy whose salary depends on AI agent adoption:> I currently work on AI agents at Jane Street in NYC.
  • vanuatu
    hiring top junior talent is more competitive than it's ever been!
  • rootnod3
    Nice to see that HN is coming to its senses and people are realizing the flaws and BS in AI / LLMs. We are past-peak Bitcoin / NFT on the curve and I can't wait for this wave to end and move to the next thing.
  • otus0x00
    I don't understand why so many people think that true expertise would become less valuable in the age of AI. How would a non-technical person, who doesn't know the difference between HTTP and HTTPS, have what it takes to build anything serious? I mean, how would you even know to ask the AI for everything that your system needs to be doing, without understanding the concepts?
  • esafak
    > And yet, OpenAI, Anthropic, and many top companies continue to compete fiercely for junior talent.Are they? I would imagine they have the luxury to pick the brightest candidates, and set them to work on jobs for which their models don't have training data for, such as developing new models. Not writing React code.
  • num42
    [dead]
  • maxothex
    [flagged]
  • jdw64
    [dead]
  • Ozzie-D
    [dead]
  • cobblr_mosaic
    [flagged]
  • bijowo1676
    AI compresses the time to acquire expertise.A high schooler can become an expert very quickly with AI, that used to require years and years of education and experience.but the real expertise still will be to translate real world problems to technical solutions and iterate on design.