I'm not worried about AI job loss
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Re: I'm not worried about AI job loss
#102Re: I'm not worried about AI job loss
#103Earlier quoted context omitted.
As always, the limit is human bandwidth. But that's basically what AI-forward companies are doing now. I would be curious which tasks OP commenter has that couldn't be done by an agent (assuming they're a SWE)
This sounds bogus to me: if AI really could close 100% of your backlog with just a couple more humans in the loop, you’d hire a bunch of temps/contractors to do that, then declare the product done and lay off everybody. How come that isn’t happening?
Re: I'm not worried about AI job loss
#104The advent of AI may shape up to be just like the automobile. At first, it's a pretty big energy hog and if you don't know how to work it, it might crash and burn. After some time, the novelty wears off. More and more people begin using it because it is a massive convenience that does real work. Luddites who still walk or ride their bike out of principle will be mocked and scoffed. Then the mandatory compliance will…
Choose to die
Re: I'm not worried about AI job loss
#105Earlier quoted context omitted.
I lost my job as a software developer some time ago. Flipping burgers is WAY more demanding than I ever imagined. That's the danger of AI: It takes jobs faster than creating new ones PLUS for some fields (like software development) downshifting to just about anything else is brutal and sometimes simply not doable. Forget becoming manager at McDonald's or be even good at flipping burgers at the age of 40: you are comp…
Ugh.. sorry to hear :( I am myself unemployed right now. Its really hard to land a job in tech.. Luicky, I dont need to flip burgers for now...
Re: I'm not worried about AI job loss
#106Earlier quoted context omitted.
Maybe I'm being naive here, but for AI (heck, for any good algorithm) to work well, you need some at least loosely-clearly defined objectives. I assume it's much more straightforward in semi, but there're many industries, once you get into the details, all kinds of incentives start to disalign and I doubt AI could understand all kinds of nuances. E.g. once I was tasked to build a new matching algorithm for a trading…
I think those conversations occur due to changes in timeline of deliverables or certainty of result, would that not be an implementation detail?
--- I said it because I did the analysis, and realized that if I implement the original version, which basically is a crazy way to iteratively solve the MIP problem, it's much harder to reason with internally, and much harder to code correctly. But obviously it keep the broker happy (the developer is doing exactly what I said)
Re: I'm not worried about AI job loss
#107The advent of AI may shape up to be just like the automobile. At first, it's a pretty big energy hog and if you don't know how to work it, it might crash and burn. After some time, the novelty wears off. More and more people begin using it because it is a massive convenience that does real work. Luddites who still walk or ride their bike out of principle will be mocked and scoffed. Then the mandatory compliance will…
> Last will come the AI-integrated brain computer interface. You won't have any choice Choose to die
Re: I'm not worried about AI job loss
#108Earlier quoted context omitted.
Can you give an example to help us understand? I look at my ticket tracker and I see basically 100% of it that can be done by AI. Some with assistance because business logic is more complex/not well factored than it should be, but most of the work that is done AI is perfectly capable of doing with a well defined prompt.
Here's an example ticket that I'll probably work on next week: Live stream validation results as they come in The body doesn't give much other than the high-level motivation from the person who filed the ticket. In order to implement this, you need to have a lot of context, some of which can be discovered by grepping through the code base and some of which can't: - What is the validation system and how does it work t…
Funny enough, all the questions that you posed are things that come up right away that the agent asks itself, and then goes and tries to understand and validate an answer, sometimes with input from the user. But I think this planning mechanism is really critical to being able to have an AI generate an understanding, then have it be validated by a human before beginning implementation.
And by planning I don't necessarily mean plan mode in your agent harness of choice. We use a custom /plan skill in Claude Code that orchestrates all of this using multiple agents, validation loops, and specific prompts to weed out ambiguities by asking clarifying questions using the ask user question tool.
This results in taking really fuzzy requirements and making them clear, and we automate all of this through linear but you could use your ticket tracker of choice.
Re: I'm not worried about AI job loss
#109> Bottlenecks rule everything around me The self-setup here is too obvious. This is exactly why man + machine can be much worse than just machine. A strong argument needs to address what we can do as an extremely slow operating, slow learning, and slow adapting species, that machines that improve in ability and efficiency monthly and annually will find they cannot do well or without. It is clear that we are going thr…
> Job loss is likely to have statistics more comparable to the Black Plague. Maybe this is overly optimistic, but if AI starts to have negative impacts on average people comparable to the plague, it seems like there's a lot more that people can do. In medieval Europe, nobody knew what was causing the plague and nobody knew how to stop it. On the other hand, if AI quickly replaces half of all jobs, it will be very obv…
Re: I'm not worried about AI job loss
#110Earlier quoted context omitted.
I mean, what is the validation system? Either it exists in code, and thus can be discovered if you point the AI at repo, or... what, it doesn't exist? For the UX, have it explore your existing repos and copy prior art from there and industry standards to come up with something workable. Web scale issues can be inferred by the rest of the codebase. If your terraform repo has one RDS server, vs a fleet of them, multi-r…
Honestly curious, have you seen agents succeed at this sort of long-trajectory wide breadth task, or is it theoretical? Because I haven't seen them come close (and not for lack of trying)
Ticket trackers are perfect for this. Just start with asking AI to take this unclear, ambiguous ticket and come up with a real plan for how to accomplish it. Review the plan, update your ticket system with the plan, have coworkers review it if you want.
Then when ready, kick off a session for that first phase, first PR, or the whole thing if you want.