I’m asking for specifics, benchmarks, analysis, and data. Your responses are not that. I’ll look on my own I guess.

This isn’t what I was asking for, I’d like to see something like, “When tasked with X AI did Y” with breakdowns between simple bug fixes to standing up a monolith in a legacy environment.

Haha I feel the long winded observation, I get it. I’m open to being wrong about AI, but you missed the main point of my argument

I don’t think the AI bubble will be around long enough for them to solve these shortcomings or the issues of expanding scope and scale leading to hallucinations.

Right now AI simply can’t (or at least last time I checked because you’re correct the technology moves very fast) do the things I mentioned.

These things, in my mind, are the gatekeepers for profitability if AI can figure these and any other issues and turn a profit before the bubble bursts, then yes we’d have an AI future. If we really get down to brass tacks (and now that I’m really thinking about it) that is the objective issue with AI, it isn’t profitable yet, it doesn’t matter if it can code a simulation of every life form on this planet if it isn’t making money. If it can solve this problem however, then yes I’d agree, everyone saying “AI can’t…” with eat their words seasoned with a little salt.

To address your accusation of cherry picking articles and advice for keeping in touch, I was kind of forced to cherry pick while attempting to keep in touch? When I was researching modern developments in AI all I was fed was an excessive amount of marketing material (this is a red flag for obvious reasons), I had to intentionally break good faith and search for things like “The issues with claude code” to get something written by a person who did not have a conflict of interest when it came to reviewing AI

I’d love to see examples of AI proving the naysayers wrong, but I was either seeing nothing but hype or enough evidence to remain skeptical of the technology.

What I’m trying to say is that I’ve tried to follow AI, I’ve tried to be impartial, but combined with what I am seeing, what I experienced as a software developer, and the economic side of AI, I don’t see any sort of AI revolution akin to the printing press or the internet. Just another race to wealth fueled by hype and some very impressive math.

I do think that outside of coding AI has some really great promises, like being able to design an Excel spreadsheet in plain English is amazing for anyone afraid of Excel, so microsoft copilot has my respect within the M365 suite, granted I don’t know what the Excel wizards have to say about the matter, but I think your average 9 to 5 desk worker whose experience with Excel revolved around accidentally opening it once would love copilot.

Oh I see what you mean now, I was missing some important context and just concluded the age gap was the issue.

Could you give some examples of AI handling complexity? From what I’ve read from senior developers is that the more scope AI has to chew on the more mistakes it makes. In terms of complexity I’m not talking about algorithms, differential calculus, or mind breaking recursion. I’m talking about the usual hodgepodge of monolithic microservices too many “Were a tech company that does X” companies have built over the past decade that are layered on top of software built before I was born.

Maybe I’m just creating too complex and specific use case, but my time as a software developer had me working through problems like that.

I think my sarcasm was entirely missed? Or are you continuing the banter? I don’t spend enough time online, I feel like a grandma.

Exactly, the system we live in undermines communities, this is just another example.

What is your further? 60 year old men dating 18 year olds is creepy, don’t get me wrong, but if the 18 year old is consenting and content in the relationship (and wasn’t groomed!) where is the problem? I was being snarky before but now I’m genuinely curious.

A fun game to play is watching any tech talk even remotely about UX and replacing the words engagement or retention with addiction. The best category for this would be the 2010’s smart phone app design talks.

I’m curious what tasks are you using GitHub Copilot for? I left the industry before AI got huge so I was never pressured to use the tools.

AI can handle boilerplate and any coding project that has been done ad nauseam. AI can’t handle legacy system quirks, creative problem solving, or massive projects with changing requirements. I don’t think the AI bubble will be around long enough for them to solve these shortcomings or the issues of expanding scope and scale leading to hallucinations.

To me AI is just impressive enough to convince managers and inexperienced developers it is the future. I’ll believe that when a Fortune 500 company rebuilds their whole entire tech stack via AI, and I think AI could solve climate change before it could do that haha.

Thank you for keeping us safe from Anthony Kiedis

I think about the issues with modern dating often, flirting included. One of my perspectives is dating culture is an extension of social culture which is an extension of communal culture, and unfortunately communal culture is dying in America. From something as common as college kids getting educated out of state then starting their career at a 3rd location, to something more systemic like the formation of the rust belt, local communities have been eroding.

Without an established generational history of people talking, connecting, enjoying each other, flirting, and dating no one can really know the difference between expressing interest and harassment as that difference now depends on what your algorithm says and what your echo chambers reinforce.

In short everyone is playing by a different set of social rules, video games may play a part in this via social isolation, but I think the greater socioeconomic system we’re all bound to is much more culpable.