Me, I pointed Claude Opus 5 at a C codebase I've been working on for years and it immediately found five serious bugs and told me how to fix them, as well as how to use Linux system calls I wasn't familiar with to solve some other problems. And I gave it a new language for PEGs I'd written up a couple of years ago, and it wrote me a working implementation in OCaml that afternoon, fixing several bugs in my example grammars along the way and resolving a conceptual problem I'd had a roadblock on. I asked Fable 5.1 to implement a minimal proof assistant, and it wrote a clone of J-Bob in Python, which I'm studying now. Although there is a certain firehose quality to this stuff, I sure don't intend to use AI to actively de-skill my brain.
That doesn't guarantee that AI will be a beneficial innovation overall, of course! As with most innovations, it probably depends on the balance between people being able to use the innovation to gain control over their own lives, and people being able to use it to gain control over others' lives. (Barring a FOOM scenario, of course, where our prediction ability is nonexistent.)
p.s. and at the same time, it's such a fantastic learning tool. It distills the intuition of a whole world and is able to transmit it on demand, like in your examples. It's an interesting dichotomy.
Basically, I don’t know how well thought out it is, but the prose argues that the point isn’t for it to be an objective take, and that if it were well thought out (ie highly iterated on and more objective or factual than subjective) some personal meaning that was intended to be expressed is lost along the way.
In other words It may have not appealed to you but that’s fine - you might just be outside the target demographic. In any case I don’t think it necessarily should be more well thought out. I prefer that these pieces exist or have their place. I definitely prefer their existence to a world where every personal Blog post has to arise from fiduciary or technical concerns, instead of from the soul. This is a soulful blog. I like it.
Likewise, you may not feel like AI is de-skilling your brain. But it probably is. We don‘t have the research (yet) that AI is addictive and causes brain atrophy, but all the evidence is certainly pointing that way, the same way the evidence were pointing that way about tobacco in the 1950s. My only hope is that it doesn’t take us another 2 decades to prove the obvious.
I think that was the same day I prototyped an approach to using Service Workers from localhost as a platform for persistent mobile apps that don't show up in the app list but also don't rely on the TLS CA system for their security. Which involved learning a lot of stuff about the Service Worker lifecycle and localStorage and IndexedDB that I didn't know before.
It's just a lot.
Sure they can mostly write better code than a toddler but this constant nudging and reminding and reiterating and stopping them from using the token budget of the whole company for a one off script. It gets tiring and I feel like I am losing brain power while doing it. Maybe it's faster but explosive diarrhea is also a faster way to produce shit.
i'm in the midst of a very large global roll out of a new system including about 24 separate erp integrations. My team's system is dependent on another system coming online first then we go then the integrations come online then a massive data migration happens and ends with all the associated testing. So like a huge number of dependencies and I'm second in line. Today we get word that the first system is having issues with a vendor and will not come online as scheduled (our dry run deployment is tomorrow and spans all next week as each dependency gets their turn. Week after next is PROD.
We're not heavily integrated into that first system but we are in spots and so there's a reason why they go first. Writing around that system is feasible but we're looking around 5k lines which isn't a lot but there's still testing and sign off. My offshore team is in bed, meanwhile they, and onshore, all have other shit to do anyway so pulling them just puts everything else behind.
I tasked an agents to make the changes as soon as i woke up to the news, they got it mostly right. It took two rounds of fixes with some offshore testers who stayed up late but the PR got in and merged. We just did (literally like 5min ago) a validation run against our target system and we're green for tomorrow. I told the testers to goto bed and then i pulled up HN and opened a coke.
There's no way in hell that would have happened without the coding agents we had on tap. So, yeah, i find a lot of value in the rate at which AI can work on code even if it's not perfect every time.
Proof of this is the amount of unnecessary tasks that Claude does just as an excuse for not doing a good job doing the tasks that we ask it to do
I'm still a lot faster for certain things with AI but its weird. Instead of just being annoyed about some weird bug, i'm annoyed about an LLM which can do everything and then falls over itself on weird issues.
It feels weird true but it still also relevant faster?
I also found that slowing down your development (just by a bit!) on purpose helps. Do not rush into implementing your new idea and give yourself at least a couple of days to think it through.
This rings true.
Also we’re just so damn stupid to learn from history, or even just people 10 years older than us, that we repeat the cycle.
And there I guess is where saying a new sucker is born every minute is from.
There's the lingering societal PTSD to consider, but I think most of the challenge in the aftermath are latent issues that preexisted covid and it just brought them to the surface. I think our world a couple decades from now will be stronger than it would have been in a universe where covid never happened, and actually has a better chance at dealing with the next covid-level threat. Perhaps that is this, in a way.
Covid proved that a healthy looking society is not always so healthy, and I think it works in reverse too. The outcome of the upcoming election will tell us something about how far we have to go.
The places that needed restrictions such as hospitals & nursing homes still got covid by & large. We didn’t necessarily need to close down the whole show.
I’ve had my jabs, also had covid multiple times. I’m not a disbeliever, I just think the collective reaction was completely OTT.
I first started noticing this in the 90’s .. comp-sci grads were entering the industry with no clue whatsoever how to do software. (Of course its gotten worse since then, but I started noticing it in the 90’s..)
Everything old was thrown away as being archaic and obsolete - only the New Cool Shit™ mattered .. except nobody had ever done anything, properly, with the New Cool Shit™ - everything was still running on the old.
(Unix was dying, everyone was learning only Microsoft tech because “that was the future” ... until it wasn’t. Now, a majority of us are running 21st century Unix workstations given us .. by Apple, of all companies, which didn’t die so easily, after all..)
People entered the market not because they were truly interested in improving the world through computerization, but because they wanted the lifestyle afforded to them by a career in “Information Technology”, a nascent term back then which simply meant “career path for the budding materialists”. Trouble is, you can’t be materialistic with computers, they are almost entirely a spiritual device, which value is determined strictly and only on the decision of value made by humans. It is humans which decide the true value of all that physical hardware after all.
I think this cyclical amnesia is driven by materialist consumerism. People who take a less material approach to technology, tend to build stuff that lasts a long time.
The reason I think it happens in cycles of 4 years, is that is the average time it takes someone to enter the academic churn, and get spit out on the other end, ready to join the work force and do big things.
Or .. not.
They know what they're doing, the people who fund them know it and the people with half a working brain cell sooner or later hear someone like me and go 'oh, that explains it'.
It's much simpler than some mythical cycles - manufactured 'mass stupidity' is a conscious, deliberate, ongoing choice.
It used to be religious organizations, then it was newspapers, now its social media platforms. The playbook has been the same for thousands of years - nothing has changed.
To save everyone some time - the playbook is you're cattle, I'm shepherd. I'm master, you're slave. It's not anymore complicated.
The bit 'educated' people miss is that most people would love nothing more than to be the master (freedom they call it? American doublespeak). They dislike being slaves, not the concept of slavery.
Anyhoo.
Now a new powerful tool shows up and I think it is time for the Jesus Christ camp to throw in the towel.
I don't know how this will play out, but I haven't seen anything like this before.
When I tried using agents for something as a test it immediately started doing things instead of being part of a conversation. I want to be actively involved in the process, not sit back and let AI agents write/generate stuff that I'd have to/end up rewriting/modifying anyway when it goes against the design I have in mind.
The other thing I don't like about agents is their ability to run any command [1]. That seems like a nightmare w.r.t. the potential for leaking secrets (signing/access keys, etc.) or doing damage (deleting files, database tables, etc.).
[1] You can set the option to review every command it runs, but you're then just hand-holding the agent.
It was a huge shift in the world of system administration, gave birth to devops, and, along with the rise of containers & cloud computing, it radically altered how companies ran their infrastructure
Some people leaned into it, others didn't and a huge rift opened up between them
I used to say "automate all the things" - I still do, but I used to too
AI tools are just an acceleration of that mindset and in my world of cloud/devops/sre I'm heavily leaning into AI-driven development and daily workflow
The approach currently being foisted upon me is to offload almost everything to LLMs (have it write a complex tech spec -> one shot into tickets -> one shot implementation of said tickets), with humans reviewing throughout, and repeating this iteration until it 'looks good'...throwing sh*t at the wall until something sticks, basically. However, we're being expected to review at a far faster pace than one reasonably can while maintaining an understanding of the system.
Meaning, with this paradigm, humans will largely be rubber stampers and will atrophy their abilities as a result, which will seemingly result in compounding adverse effects.
TLDR in my experience the AI can help with some 'busy work' eg translating a well defined solution in my head into code. The time it takes to understand an implementation and ensure correctness will not change. LLMs cannot reliably do this. This traditionally has occurred during implementation by the implementer, and during code review by code reviewers. I don't think simply shifting the implementer's comprehension 'duties' to code reviewers provides any benefit.
I still count myself as "dejected" overall. I'm dejected by the economic shape of AI which seems destined to keep concentrating outsized rewards to the top few who own it or have enough capital to shackle it to their will. I'm fearful that intelligence, once it becomes a commodity you can rent any time you may need it, will be socially devalued in our already anti-intellectual society. I worry that in a couple decades we may resemble the world of "The Machine Stops" (1909), where nobody really knows how things work.
Of course we already live in such a complex world, no one person has complete knowledge of the "stack" they rely on. I can write software in C or assembler but I can't design a CPU and don't really understand how one is manufactured. (I may someday study that field, but I haven't yet!) But I take solace in the fact that somebody out there, has put the time in to study each of those things and is an expert in them. At every layer and in every niche of our engineering world there are masters of their craft, and there are students learning the fundamentals to keep that knowledge alive and growing. What if in 30 or 40 years that is not the case, and there are whole corners of knowledge the modern world depends on where everybody is reduced to "I dunno how it works, but Claude said..."?
Thats just not true.
I only wanted to say that finding security issues was def bottlenecked by humans.
LLMs are actually producing a lot of pretty good stuff, can debug things that would have taken an entire team a week, and the people running AI companies are also generally like the most boring supervillains imaginable. All true.
It is also completely screwing up the global economy, and most people barely understand what it is and what's happening.
It's also not going to collapse anytime soon as a technology despite what the economy does, and it's going to get a lot worse before it gets better. Everyone who's extreme on it on either end is generally wrong.
What is screwing up 'the global economy'? LLMs?
Though if any followers still exist, they probably wouldn't agree that 𒀭𒂗𒆠 was just a fad.
rotary telephones and pay phones went away but we still have phones.
But if you do think vulnerability research matters, and you're trying to argue that frontier models aren't a seismic change for that discipline, you have almost no company. Vulnerability researchers are overwhelmingly leaning on automation to find vulnerabilities and, just as importantly, generate the tooling required to test hypotheses.
You can feel about that however you want to feel about it. I mostly don't care, except: you can watch people like this being negatively polarized back into the bad old days of the mid-1990s, content-free CERT advisories, and vendor-controlled "responsible disclosure" by a use case that frontier models unimpeachably excel at.
And yet we continue to do so. I understand the feeling of loss some people may be facing. And there are definitely some really bad practices - like nakedly spewing claudspeak at your colleagues instead of communicating. Or raising a PR you don’t understand. There are asymmetries we haven’t learned to navigate. But we aren’t returning to a world where it doesn’t dominate our discipline so it’s best to find opportunities.
It was annoying before when I had a very clear idea of what I wanted and yet it still took a whole week to implement because of all the edge cases and testing that had to take place.
Now, with AI coding, I can implement any decent sized feature, exactly how I want, in a few hours and it's all polished and ready, all edge cases handled.
Everything it's generating looks almost exactly what I would have written, just written faster.
Personally, I feel avenged by AI because I had been saying for years that you don't really need static typing once you reach a certain level, getting types right isn't the most difficult problem and isn't a significant source of bugs. Everyone was gaslighting me about this...
Now anyone who coded with a frontier model on both TypeScript and JavaScript can see that it makes no difference at all. I can't remember ever seeing Claude mistake the type of a variable with either language... And TBH, I find Vanilla JavaScript to be more succinct, not over-engineered like Typescript. Which is a point I'd been trying to make for years about incentives and patterns.
Same. I quit, aside from two contracts I'll serve until they run out, I'll be studying Electrical Engineering. Even if AI takes over that space... good luck constructing a robot with the dexterity required to pull cables.
To anyone in IT... go and study for some qualification in tasks not easily doable for a machine. The trades are going to be a goldmine especially with all the boomers retiring. Or buy some ranch in the midst of nowhere and farm artisanal chickens, cattle or goats.
(For legal reasons, the latter was a joke. Farming is extremely risky, requires a lot of upfront cash, a lot of what used to be generational knowledge, but it seems to attract a lot of IT people, especially for whatever reason the goat farming)
It's a great time to be alive. Everyone is infected with pessimism.
https://datacenters.google/discover-more/photo-gallery/ and scroll down to "The Dalles, Oregon" and well... look at them.
And then its reported water use:
https://www.oregonlive.com/silicon-forest/2022/12/googles-wa...
> Google’s water use in The Dalles has nearly tripled in the past five years, and the company’s data centers now consume more than a quarter of all the water used in the city.
> That’s according to records released this week after the city settled a lawsuit against The Oregonian/OregonLive and agreed to hand over data on Google’s water consumption. The company’s water use is poised to continue soaring in the years ahead, as Google has plans for two more data centers along the Columbia River.
https://www.oregonlive.com/silicon-forest/2021/11/the-dalles...
> Google is contemplating two new server farms on the site of a former aluminum smelter in The Dalles, where it already has an enormous campus of data centers on its property along the Columbia River.
> Google says it needs more water to cool its data centers, but neither the company nor the city will say how much more – only that The Dalles can’t meet Google’s needs without expanding its water system. The deal calls for Google to pay for the upgrade.
> Even so, the proposed water pact has attracted scrutiny and skepticism in The Dalles, a riverfront city of about 15,000 approximately 80 miles east of Portland.
> Residents and nearby farmers are concerned about the city’s long-term water supply amid an ongoing drought. They complain they don’t know enough about Google’s actual water use.
----
It is possible to do some cooling with closed cycle, though more than a few data centers have been built with open cycle cooling in places were the water table is precarious or in parts of the country under drought conditions.
Unless a data center construction discloses its water use and shows that it isn't using a lot, then people are assuming its using as much as it can (and up to the water rights or capacity that it has). ... Which isn't an unreasonable assumption to make.
https://www.oregonlive.com/silicon-forest/2026/04/more-orego...
> Google’s data centers gulped down nearly 550 million gallons of water in The Dalles in 2025. That’s nearly 40% of all the water consumed in the entire city and a huge jump from the year before.
> The city expects that local water consumption will soar over the next several years and bills will nearly double as The Dalles works to upgrade its aging water system. But the city won’t say how much of the rising demand comes from Google, citing a promise to keep the numbers secret and confidentiality provisions in Oregon public records law.
And data centers are being very cagy with their water consumption because the amount of water that it uses is related to the amount of compute it has and that is being held as an industry secret.
I jest, of course. The actual argument is something about most water being frozen and how some people live in deserts so we should all live as if we were desert dwellers. As you can tell I'm not very convinced by it.
Water is literally the least scarce thing on earth.
Hits all the right buttons for the motivated reasoner: An eco-disaster that our brains aren’t climate-change numb to. A threat to the most precious fundamental substance in the service of a high-tech fad. An evocative symbol of corporate recklessness in the service of greed.
That it’s not really a big deal compared to, say, almond cultivation is no match for that brain-niche fit.
Personally, I agree with the author on some things. The copyright laundering, the PR theatrics in search of regulatory capture, the concentration of power in a handful of gargantuan corporations in a country currently headed for totalitarianism at an alarming pace. The proliferation of slop drowning out all the good stuff. These are genuine issues, and they worry me, a great deal.
And yet, it's become impossible to seriously contend that this technology isn't tremendously useful for certain tasks. I've used it myself with good results. But I don't buy the maximally bullish view that an LLM will eventually surpass humans in all areas. There are severe flaws with the technology that are inherent to its architecture and simply cannot be scaled away. This is as incontrovertible to me as its usefulness. The trough of disillusionment is coming for all of us, it always does. And much like the internet past the trough, we'll have a lot of cool new shit as a result of this technology, and we'll have a lot of horrifying new problems as well. This is the case for any paradigm shifting technology.
That's my view when trying my best to be objective.
Subjectively though, I'm deeply depressed about it all. LLMs have taken everything I love about computing and turned it on its head. I got into computers because they were so different from people. Mathematical, rigorous, efficient, unambigious(yes, bugs can be very confusing but there's always a satisfying and logical answer to dig out with enough effort). Now, apparently, to do the job I (used to) love, I have to spend most my time spoonfeeding instructions to a pretentious, know-it-all asshole who repeatedly fails to follow simple instruction, and yet is somehow still better than me at my job. I hate it. I'm 10 times more productive, and 100% of the joy is gone. I've quit, and I'm now considering what the fuck to do with my life. Something with minimal computer involvement. I will continue to code as a hobby and tool for my own purposes, LLM free, but I won't even bother uploading my code anywhere, because what's the point.
The main cause of water fear mongering is that one woman’s well was dirty during construction of a data center. First construction is not the center running, and having lived on a well they get dirty for all kinds of reasons.
https://www.eesi.org/articles/view/data-centers-and-water-co...
According to EESI (a bipartisan-founded non-profit), a large data center:
> can consume up to 5 million gallons per day, equivalent to the water use of a town populated by 10,000 to 50,000 people.
Also noting that AI datacenters can use more.
I don't think 'anyone who thinks X is Y' is a good basis for discussion, which is the real point.
> Approximately 80% of the water (typically freshwater) withdrawn by data centers evaporates, with the remaining water discharged to municipal wastewater facilities.
I don't disagree with your assertion; however you do have to realize that their grievances, while not completely informed, are not wrong.
In a world where everybody seems to be quoting grok with no further thought process you would think people would be more welcoming of someone who is "slightly wrong" on occasion. It's the strongest indicator that a flawed human being got their information not directly from a machine.
There are certainly problems that can be crated by dumping heat into a body of water, but that's not the argument being made.
I'm willing to bet that a datacenter creates a fraction of the pollution of a similarly sized industrial facility such as a chemical plant, refinery, smelter, or steel mill.
That source of power, since our grid is so outdated and struggles with the weight of these power-hogs, EVs as well as increased usage of AC during the summers create some dangerous conditions.
There is the risk of heavy metals getting into the water supply as the copper degrades but that will only be a problem down the line, that's prescient but not yet realized.
> I'm willing to bet that a datacenter creates a fraction of the pollution of a similarly sized industrial facility such as a chemical plant, refinery, smelter, or steel mill.
I agree; however I would not want a DC or a refinery, smelter or steel mill anywhere near my town. We have industrial districting for that reason, and because a lot of DC projects want to be put next to lakes and water sources, this causes issues for the residents.
https://sustainability.google/reports/google-2026-environmen...
https://www.aboutamazon.com/news/sustainability/amazon-data-...
Fortunately, now we have computers, which are great at unit conversion, so we can cut right through these feeble attempts at obfuscation. In non-medieval units, 10.9 billion gallons per year is 41.3 million cubic meters per year or 1.3 cubic meters per second. The river a few kilometers from me has a discharge of 22000 cubic meters per second (of fresh water dumped into the sea), so Google is the equivalent using 0.006% of the Rio de la Plata. Lake Superior contains 12070 cubic kilometers of water, which is 1.207 × 10¹³ cubic meters, also of fresh water, so Google's current use would dry up Lake Superior in only 290,000 years.
Google is mostly not very close to Lake Superior or the Rio de la Plata; a more relevant river might be the Sacramento River, which drains into the San Francisco Bay where Google was born, and it's much smaller than the Rio de la Plata. Specifically, its average discharge is 797m³/s, so Google is using 0.16% of the discharge of the Sacramento River. (But some of that is at datacenters far from California.)
https://en.wikipedia.org/wiki/Water_in_California#Agricultur... tells us that agriculture in California uses 34.1 million "acre feet" of water per year (Americans will do anything to avoid using the metric system, especially when they're trying to be sneaky). In non-medieval units, that's 42.1 billion cubic meters, and per year, it's 1330 cubic meters per second, almost exactly 1000 times Google's use. Of that, 18% (240 cubic meters per second) is spent on alfalfa, or was in 02014, anyway.
One major difference is that you need fresh water, like the water of the Sacramento River, to irrigate crops, but you can cool data centers with salt water from the ocean. It's less convenient, because there are a variety of annoying things that happen with biofouling and corrosion, but that's what you'd do if hyperscalers scaled up by another factor of 100× so that their water usage became large enough to be environmentally significant.
But that doesn't happen until they have 100× the computing power they have today. So anybody who tells you AI datacenters are a major water user is lying.