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IBM tripling entry-level jobs after finding the limits of AI adoption

fortune.com

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Re: IBM tripling entry-level jobs after finding the limits of AI adoption

#161

Post by graeme »

fd-codier wrote: post #124
ChadMoran wrote: post #94

Earlier quoted context omitted.

[flagged]

Everytime someone say something like that there is no link to the product. Maybe because it doesn't exist ?

Historically in a lot of niches such as search marketing etc, people would not name their successful projects because the barrier to entry is low.

It someone can use AI to make a $50,000/year project in three months, then someone else can also do so.

Obviously some people hype and lie. But also obviously some people DID succeed at SEO/Affiliate marketing/dropshipping etc. AI resembled those areas in that the entry barrier is low.

To get actual reports you often need to look to open source. Simon Willison details how he used it extensively and he has real projects. And here Mitchell Hashimoto, creator of Ghostty, details how he uses it: https://mitchellh.com/writing/my-ai-adoption-journey

Update: OP posted their own project however. Looks nice!

Re: IBM tripling entry-level jobs after finding the limits of AI adoption

#163

Post by ChadMoran »

yrds96 wrote: post #138
ChadMoran wrote: post #94

Earlier quoted context omitted.

[flagged]

I'm not doubting of you or anything, but you just proved point above by saying you have a successful project without even mentioning which project is that.

[flagged]

Re: IBM tripling entry-level jobs after finding the limits of AI adoption

#164

Post by ChadMoran »

SomaticPirate wrote: post #120
ChadMoran wrote: post #94

Earlier quoted context omitted.

[flagged]

Every hype AI post is like this. “I’m making $$$ with these tools and you’re ngmi” I completely understand the joys of a few good months but this is the same as the people working two fang jobs at the start of Covid. Illusionary and not sustainable.

[flagged]

Re: IBM tripling entry-level jobs after finding the limits of AI adoption

#165

Post by ChadMoran »

belter wrote: post #110
ChadMoran wrote: post #94

Earlier quoted context omitted.

[flagged]

Details would help your argument. Since many did the same thing, before the AI wave... Is the business 3 months old now?

It's not an argument, it's a fact.

Re: IBM tripling entry-level jobs after finding the limits of AI adoption

#166

Post by ChadMoran »

slopinthebag wrote: post #101
ChadMoran wrote: post #94

Earlier quoted context omitted.

[flagged]

Nice, yeah I feel like there's a big opportunity for tech workers who are product-adjacent to use LLMs to get up to speed building SaaS etc. Are you worried by any of those claims about SaaS being dead because of AI? lol

[flagged]

Re: IBM tripling entry-level jobs after finding the limits of AI adoption

#167

Post by ChadMoran »

albedoa wrote: post #153
fd-codier wrote: post #124

Earlier quoted context omitted.

Everytime someone say something like that there is no link to the product. Maybe because it doesn't exist ?

He is overwhelmed with customers. Can't risk any more awareness.

Legitimately am. I get daily emails from customers telling me how much they love my product. Go search Google, it's free.

Search for "Rivian Roamer".

Re: IBM tripling entry-level jobs after finding the limits of AI adoption

#168

Post by ChadMoran »

ChadMoran wrote: post #94
slopinthebag wrote: post #76

You know when someone is singing the praises about AI and they get asked "if you're so much more productive with AI, what have you built with it"? Well I think a bunch of companies are asking this same question to their employees and realising that the productivity gains they are betting on were overhyped. LLM's can be a very useful tool and will probably lead to measurable productivity increases in the future, at th…

[flagged]

The only thing the comments told me is that people lake judgement and taste to do it themselves. It's not hard, identify a problem that's niche enough for a problem you can solve.

Stop arguing on HN and get to building.

Re: IBM tripling entry-level jobs after finding the limits of AI adoption

#169

Post by ChadMoran »

AussieWog93 wrote: post #152
idopmstuff wrote: post #117

Earlier quoted context omitted.

I'm with you. I own a business and have created multiple tools for myself that collectively save me hours every month. What were boring, tedious tasks now just get done. I understand that the large-scale economic data are much less clear about productivity benefits, in my individual case they could not be more apparent.

I'm thirding this sentiment! I run an eComm business and have built multiple software tools that each save the business $1000+ per month, in measurable wage savings/reductions in misfires. What used to take a month or so can now be spat out in less than a week, and the tools are absolutely fit for purpose. It's arguably more than that, since I used to have to spread that month of work over 3-6 months (working part ti…

Understanding when to make something deterministic and not is critical. Taste and judgement is critical.

Re: IBM tripling entry-level jobs after finding the limits of AI adoption

#170

Post by chasd00 »

culi wrote: post #147
chasd00 wrote: post #116

Some stats are trickling out in my company. Code heavy consulting projects show about 18% efficiency gains but I have problems with that number because no one has been able to tell me how it was calculated. Story points actual vs estimated is probably how it was done but that’s nonsensical because we all know how subjective estimates and even actuals are. It’s probably impossible to get a real number that doesn’t hav…

More interesting imo would be a measure of maintainability. I've heard that code that's largely written by AI is rarely remembered by the engineer that submitted even a week after merging You're almost "locked in" to using more AI on top of it then. It may also make it harder to give estimates to non-technical staff on how long it'd take to make a change or implement a new feature

I don’t know how to measure maintainability but the AI generated code I’ve seen in my projects is pretty plain vanilla standard patterns with comments. So less of a headache than a LOT of human code I’ve seen. Also, one thing the agents are good at, at least in my experience so far, is documenting existing code. This goes a long ways in maintenance, it’s not always perfect but as the saying goes documentation is like sex, when it’s good it’s great when it’s bad it’s better than nothing.
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