37 karma · joined October 26, 2025
But, even if the new engine is the golden egg, now what? You're still competing against every other team that has the golden egg... And it's right back to the driver mod, vehicle setup, etc.
That's not to say that the slower teams have any choice but to run the engine too to not be even less competitive. It's just to say that having the engine isn't gonna fix the underlying problem, no matter how much of the team you lay off to fuel the new, more power, engine.
How many times I have hit my head against a wall trying to figure out how to get some code to work, only to come back with a clear mind and look holistically to see that it didn't need to be solved to begin with.
None of that is to imply that solving any of these problems isn't groundbreaking or helpful along with the plethora of other things AI has undoubtedly advanced, but I think the breakthroughs will be inferred by many to mean "point AI at really hard problems" is always the solution instead of continuing to use your brain on whether or not the problem _is_ the right problem in it's current form to solve.
> Part of the transition from student to junior to senior is learning to filter your own ideas, and to guide others in the search for ideas that are likely to be fruitful.
I wonder how that'll change over time now. I think it's pretty important to have a few instances of thinking hard to come up with ideas and being totally convinced they are correct, only to have someone else trounce them with one or two succinct thoughts of their own. Those were very big personal development moments for me. And equitable, I still have folks with a lot less exp/time come out of left field with maybe not as formulated, but amazing ideas.
But I think what is lost is the value in (a) person(s) who intuitively spots and avoids these problems. My hypothetical example that I have seen play out: The domain expert spots one of these problems and succinctly explains that the problem doesn't need to be solved. Maybe it's a byproduct of bad design elsewhere, or there is a much better solution that avoids it altogether. Once the rest of the team/the lead catches on, either hindsight bias or outcome bias, or a combo, takes over and they don't recognize that all the value all along was in the person being able to spot this situation. They throw that in claude and claude does it's sycophant thing (after expressing that the previous situation was flawless for however long), and they are off to the races right back to automation bias with zero pause for thought...
Instead of burning tokens doing intellectually impressive “hacks”, or sandbox escapes from which I have concerns could contain run of the mill malware, why not focus on showing people what you can fix?
Or, make software people actually use every day better.
Or, donate efforts towards medical research.
I don’t like equating AI to nuclear energy, but, it’s a lot like continually showing people how large of an explosion you can create instead of showing them how many houses/hospitals/schools/etc you can power.
I know very hot beverages are group 2A probable carcinogen: https://en.wikipedia.org/wiki/IARC_group_2A
Have they considered using their amazing new models to... improve something? THere'd probably be a whole lot less anti-AI sentiment if they used these things to actually make people's lives better.
Also:
https://news.ycombinator.com/item?id=49493820
I totally missed this just a few days ago lol
People can tell when something they are experts in is being done poorly, but others can't, and it frustrates the experts. Then, those same people think something completely different is being done well despite what experts in that respective field say. It's like when someone from your family reads an article about your profession and then proceeds to tell you how your job works. lol
It's a really pervasive issue in society IMO. And a few prompts in someone's favorite LLM just reinforces it to people that don't know (any better|what they don't know).
I feel this very strongly over the past couple of years. As always, hackernews is full of extremely smart, well read people so I'd really appreciate any good reading material on this so I can better understand it. Tips are appreciated as well (healthy diet and regular exercise, good extended blood labs (think like Function health), good consistent sleeep habits).
I guess the doomsday stuff sells more...
It doesn't really matter how right or wrong anyone is... They are driving and we are along for the ride.
The other was a periodic check. Both times, BP returned to normal over the course of about a week when I stopped creatine supplementation with no other changes.
I’ve researched it quite a bit and found that others do experience it as well, but the usual advice of “just drink more water” (which yes, I have tried) is about the extent of info I find on it. Then, the “it causes your body to retain more water” idea which doesn’t seem to be accurate as what I’ve understood is that it causes your muscles to store more water…
>So I’ve drawn a line. I only discuss pros and cons with smart people; I don’t argue right and wrong with ego-driven ones.
So uh... anyone have any tips on _identifying_ the kinds of folks the author is describing here? I guess I'm left to presume it would mean those people _would_ explicitly ask, but if not how would you determine what kind of person you are dealing with? Sure, I can brainstorm and reason through, but looking for feedback from folks who have been successful in doing this professionally.
It's literally just doing the core service better than average and allowing it to yield results. "hmmm lets try not scamming people so we can save pennies on some expired bell peppers in a loss leader area to begin with... Perhaps they'll also pick up some prescriptions while they are here! Heck, I bet if we make some effort to keep our employees relatively happy, customers might also have a better experience in our stores!"
IMO/rant, few businesses/people seem to grasp this and all think there is some magic "business hack" they can do while avoiding doing the core business thing well. And I don't think it's that they don't know it, it's the divorce between the reality they themselves likely desire to live in and experience, and the reality they build/provide day to day in their work. But, that plagues everything these days tbh. Nobody just wants to do the fundamentals well, everyone is looking for "this one simple hack" that alleviates having to just do the work. The calculator might save you some money, but it'll never, by itself, extract the gold from the mine.
I know there are concerns no matter what OS, and would appreciate insights/discussion as well, but I sleep a little better just running a boring old Ubuntu LTS instance for a balance of dwell time between releases and hitting my system, as well as enough visibility/usage so something gets caught. And I know, this was the installer, not a system package.
https://en.wikipedia.org/wiki/Methylenetetrahydrofolate_redu... https://en.wikipedia.org/wiki/Catechol-O-methyltransferase
If you've done 23andme, ancestryDNA, etc, you can likely just use your raw data to get this information.
> The problem tends to show up when a CEO is handed an agentic tool like Claude Code, and has it create something, which will work just fine, and thinks “oh, wait, why do we need so many people, when I can just sit here and make things work?”
> This is a bad CEO.
As described, this seems to me more like a lack of reasoning/critical thinking ability, and it's not unique to CEOs. Tracks more with a combo of "Gell-Mann Amnesia" and automation bias IMO.
> This all reminds me of cargo cult thinking: The CEO knows that somewhere in the org, employees are pecking away at computers and work gets done. So they figure that themselves pecking away with Claude Code and seeing work get done is the same thing. It’s not. All those other steps those people are handling — the ones the CEO never sees — still need to happen.
"Cargo culting" as described here by the author may be happening. But, I think it's CEOs seeing other CEOs doing layoffs and claiming it's because of AI efficiency gains. They see the other CEO's stock go up/get hyped/etc, so they decide to do it. I think it's the same thing that happens inside companies IE people see how others behave and it works, so they do the same. Effectiveness aside because that's not at all what I'm arguing, AI is just the current flavor; it is a very safe thing to "cargo cult" at the moment.
Thank you so much! This is why I love HN.
I'd be curious to hear from people well versed in group psychology/dynamics and/or just a lot of leadership/people experience: what leads people to this type of thinking once they get in a group setting? It just... seems endemic at this point.
Obviously nobody here is going to know what I do or don't know, but I'm just increasingly curious what I am not understanding about this type of thing. It seems so obvious, yet that makes me ever more suspect that I'm oversimplifying it, or just totally ignorant about the problem in general.
What is the underlying cause here? Or is this just a product of group psychology...(?) I feel like it's typically weak and/or incompetent management but hesitating to jump right to that because it's largely out of most people's control beyond a job change.