hyperadvanced

I think I might be going through withdrawal because I feel like I rarely get that fun feeling anymore with coding :(

It can be gratifying to get shit done but I love the feeling of coming up with a great reusable component and then making an entire app out of it

A lot of times the act of specifying test criteria prevents developers from accidentally vibe coding themselves into a bad implementation. You can then read the tests and verify that it does what you want it to. You can read the code!

I’m not saying that it’s all hunky dory, but you use AI for straight up test driven development to catch edge cases and correct sloppy implementations before they even get coded by your giant chaos machine.

I think you can understand that line of reasoning, but you can question its feasibility. You might not have any “star coders”, nor need them day-to-day, but I think the cost of not having one true expert, or having a completely vibe coded system that crashes in production will be extremely high.

Is it that incomprehensible that you might want to limit healthcare offerings to lawful residents only, or that the government might track metadata about how services are doing so, regardless of how they choose to take action on it?

I read the post. I don’t agree with the “people are born to do one thing” mindset. There’s a lot of possibilities out there for everyone. I do identify with this OP fellow somewhat, except that I usually don’t code for fun on nights and weekends (also sunday code sesh can be fun)

I don’t think anyone’s true calling is coding. That’s like saying you really like the act of writing, so much that you’d become a stenographer or a typist or something where you do zero higher level thinking and just absent mindedly press buttons.

Most people who are good at tech hate coding so much that they come up with elaborate abstractions so that they can avoid doing more of it.

I do literally enjoy working with AI sometimes, other times it is hell. But sometimes coding by hand is hell, too, usually when working on other people’s extremely hacky and procedural code.

This is a great reason not to identify too much with your work. I have enjoyed AI because it has reminded me that my real calling is art, and that I should be doing that at 8 pm, not coding

I used to believe in alert fatigue, because you’re frequently told to repeat the line: if you have too many alerts, eventually everyone will stop paying attention to them.

I have tons of alerts at work. They go to specialized slack channels that I can look at if I need. We have on call escalation paths for critical ones and housekeeping duties for the ones that require engineers to perform a maintenance task. We have the hell channels that are 99.99% flapping, if you ever need that.

I find that observability in general has an extremely linear marginal reward curve, it basically always justifies the effort you put into setting it up.

No idea. I would just assume whatever they’re doing there gets shouted down in short order by the locals who are known for being kind hearted, incredibly naive, and violent.

Why would you believe a tech CEO who has a vested interest in the untruth but can skirt fiduciary duties by speaking cleverly.

In my opinion it seems like a very unprofitable service propped up by investor money trying to capture market share.

Or, as I would say if I were Bugs Bunny, “Duck Season”

If Waymo is still operating there by the end 2027 I’ll eat my hat.

Why? Are fearing the inevitable torching of one of these or fooling yourself into believing that waymo wont take over the world?

This is what I do 3-4 nights a week. I sleep pretty well if I stick to that and don’t drink a ton in one sitting.

I’m so much more of a quick huddle/sync up rather than a meeting with 10 people who each speak (in the best case) 10% of the time. Having standing meetings for war and feasting (war being sprint planning, feasting being retro/demo) is essential. Standup/status meetings are largely a bane if they last more than 10m

their comments on HN comments is funny as well in light of the original claim

I wouldn’t say it’s terrible. I wouldn’t say it’s a huge step forward in terms of quality compared to what I’ve seen before from AI

I dunno. If I work on GitHub and I say “obscure subsystem X” has been breached, it’s no more useful than the level of specificity that Vercel has already given (“some customer environments have been compromised”)

It’s really funny to train your AI on the data of failed companies. My coworker made a similar joke that if we trained an AI on our data they’d think our core business is helping dumbass users reset their passwords or fixing linting errors.

This is horribly written but largely true.

Why would AI cause inflation? If anything the drop in cost of labor should be massively deflationary.

Just sanity checking - if I only ever install axios in a container that has no secrets mounted in to its env, is there any real way I can get pwned by this kind of thing?

Seems… improbable. There will certainly be less of us, but the fact remains that nobody wants to debug this shite vibecoded apps companies are pushing, and some simply are not able because of skill atrophy and perverse incentives to use AI at the cost of stability.

lol microslop

There was one that went up and then back down. Coreweave.

If you’re lazy at promoting the machine (“boss mode”) then you get bad/lazy results. If you’re clever with it, then you get more clever results.

None of that points to any sort of interiority, and that is the category error you’re making. In fact, not even all humans have that kind of interiority, and it’s not necessarily a must have for being functional at a variety of tasks. LLM are literally not “running human culture as code” - that just isn’t what an LLM is. I’ll read the link, though.

Edit: read it and it’s not for me. All the best.

I really feel like this point is being lost in the whole discussion, so kudos for reiterating it. LLM’s can’t be “woke” or “aligned” - they fundamentally lack a critical thinking function that would require introspection. Introspection can be approximated by way of recursive feedback of LLM output back into the system or clever meta-prompt-engineering, but it’s not something that their system natively does.

That isn’t to say that they can’t be instrumentally useful in warfare, but it’s kinda like a “series of tubes” thing where the mental model that someone like Hegseth has about LLM is so impoverished (philosophically) that it’s kind of disturbing in its own right.

Like (and I’m sorry for being so parenthetical), why is it in any way desirable for people who don’t understand what the tech they are working with drawing lines in the sand about functionality when their desired state (omnipotent/omniscient computing system) doesn’t even exist in the first place?

It’s even more disturbing that OpenAI would feign the ability to handle this. The consequences of error in national defense, particularly reflexively, are so great that it’s not even prudent to ask for LLM to assist in autonomous killing in the first place.

I catch enough of these weird things where I don’t fully understand why it chose to do something, but understand that there’s a simpler way, where I tend to be skeptical of using it for anything I couldn’t do myself but am just too lazy to go in and punch the keys for. On that front, it’s great

I agree. There will be some companies that cannot effectively use AI to slash headcount and become more efficient. There will be those who cut too deep and are burned by it. There will be those who spend millions on AI consultants who don’t move the needle, custom LLM pet projects that get pursued, companies that crash and burn due to vibe coding, companies with 5 employees that are only possible because of vibe coding, etc.

Expecting there to be one result from a new technology is incredibly naïve. There are scores of still existing companies today who fumbled the internet, cloud computing, social media, smartphones, etc. even though all of those technologies have proven to be transformative in the aggregate.