MurphyA/hacker-news huggingface dataset:
by sublinear | 2026-03-12 23:44:06+00:00
The divide was never invisible and there has always been at least three camps.

The "make-it-go" people couldn't make anything go back then either. They build ridiculous unmaintainable code with or without AI. Since they are cowboys that don't know what they're doing, they play the blame game and kiss a ton of ass.

The "craft-lovers" got in the way just as much with their endless yak shaving. They now embrace AI because they were just using "craft" as an excuse for why they didn't know what they were doing. They might be slightly more productive now only because they can argue with themselves instead of the rest of the team.

The more experienced and pragmatic people have always been forced to pick up the slack. If they have a say, they will keep scope narrow for the other two groups so they don't cause much damage. Their use of AI is largely limited to google searches like it always was.
by antod | 2026-03-12 23:44:29+00:00
But it's not totally irrelevant in this story.

Cops are already susceptible to confirmation bias, and for "efficiencies" they are delegating part of their job to apparently magical tools that will only increase their confirmation bias. And because it is for efficiency you can bet they won't be given extra time to validate the results.

What or who is at fault isn't either/or, it's a bunch of compounding factors.
by aziaziazi | 2026-03-12 23:44:53+00:00
Double that. I'll also recommend to try some fungi/bacteria pre-processing as it bumps the taste:

Kimchi & Sauerkraut to wet the appetite.

Don't use salt, use Miso. The darker the better.

Tempeh is awesome and comes with soy (nutty), lentil (strong taste like aged meat), chickpeas (floral), beans (melty), or other legume/cereal/nut. Can include spices and seed for extra taste and crunch.

Nuts cheese tastes "cheesy" in a similar way similar to their diary version (Roquefort, Cheddar, Blue, Camembert, Brie...) depending on the ferment, without the "milky" taste. Nut taste instead, obviously but that can be offset with other oils/fats.
by linolevan | 2026-03-12 23:45:01+00:00
According to the providers that I keep track of, Cumulus is typically pretty price competitive, except for MiniMax where DeepInfra and Together are much cheaper and GLM-5 where DeepInfra and z.AI's own hosting is much cheaper.

(Also technically qwen3 8b w/ novita being first place but barely)
by toast0 | 2026-03-12 23:45:02+00:00
Eh. IPv6 is probably cheaper to run compared to running large scale CGNAT. It's well deployed in mobile and in areas without a lot of legacy IPv4 assignments. Most of the high traffic content networks support it, so if you're an eyeball network, you can shift costs away from CGNAT to IPv6. You still have to do both though.

Is it my favorite? No. Is it well supported? Not everywhere. Is it going to win, eventually? Probably, but maybe IPv8 will happen, in which case maybe they learn and it it has a 10 years to 50% of traffic instead of 30 years to 50% of traffic.
by anonnon | 2026-03-12 23:45:28+00:00
> I feel like anyone used AI coding tools before 11/25 and after 1/26 (with frontier models) will say there has been a massive jump in, there is a difference between whether LLM can do a specific task or pass some arguably arbitrary checks by maintainers vs. what the are capable of.

How much of that is the model and how much of that is the tooling built around it? Also why is the tooling, specifically Claude Code, so buggy?
by hungryhobbit | 2026-03-12 23:45:37+00:00
I strongly disagree. There's always been two camps ... on everything!

Emacs vs. vi. Command-line editor vs. IDE. IntelliJ vs. VS Code. I could do like twenty more of these: dev teams have always split on technology choices.

But, all of those were rational separations. Emacs and vi, IntelliJ and VS Code ... they're all viable options, so they boil down to subjective preference. By definition, anything subjective will vary between different humans.

What makes AI different to me is the fear. Nobody decided not to use emacs because they were afraid it was going to take their job ... but a huge portion of the anti-AI crowd is motivated by irrational fear, related to that concern.
by bitexploder | 2026-03-12 23:45:50+00:00
What is free will? In Friston’s predictive processing framework, free will isn’t a force that stands outside the brain and overrides it… it’s what the system calls the experience of higher level predictions outcompeting lower-level ones. The brain is a hierarchical prediction machine constantly minimizing surprise, and what feels like a decision is the resolution of competing models, where your prefrontal self model of who you are and what matters generates a stronger attractor than the opposing signal. The sense of “I chose this” is likely a post hoc narrative the DMN constructs after the resolution has already occurred.. agency as story rather than cause. There’s no ghost in the machine, just a very sophisticated model of a self that includes the prediction that it can choose.

Through the vagus nerve and serotonin availability, a dysbiotic gut amplifies lower level threat and conservation signals, making them harder for higher level prefrontal predictions to outcompete. What feels like weakness of will may partly be the system running on a degraded substrate… the DMN then constructs a story about discipline and character over a causal chain that started in the enteric nervous system.

So, you can’t even really perceive some of this. But you essentially can’t overcome it either. The decisions are made before you thought about it.
by gambiting | 2026-03-12 23:46:01+00:00
>>It’s like 95% of development is web and LLM providers care only about that.

I've been trying to use it for C++ development and it's maybe not completely useless, but it's like a junior who very confidently spouts C++ keywords in every conversation without knowing what they actually mean. I see that people build their entire companies around it, and it must be just web stuff, right? Claude just doesn't work for C++ development outside of most trivial stuff in my experience.
by furyofantares | 2026-03-12 23:46:07+00:00
When the dust settles, for example if LLM's were to stop improving today, we would come to learn their exact capabilities, what they can do reliably and what they can't.

Once we know what they can do well and how to get them to do it well, and what they can't, you could say we "trust" them to do the first category well and just stop trying to get it to do the second category.
by salawat | 2026-03-12 23:46:10+00:00
But you can't do that. That would implicitly out where the knowledge came from, and we all know that the AI industry has an existential incapability to actually cope with that little turd. Might work great for data you actually own, got access to. Imagine that applied back to the latent space of LLM's though. Plus, wouldn't all of that eat through context window like no tomorrow?
by nwallin | 2026-03-12 23:46:23+00:00
My experience is that it's really easy to subtly fuck something up if you're doing a bunch of trig in code. If there's something subtly wrong somewhere, everything seems to work for a while, then one day you hit gimbal lock. Then you have to add a special case. Then you hit gimbal lock somewhere else in the code. Or you have tan spit out +/- infinity or NaN. Another special case. Or you have acos or asin in their degenerate regions where the minor imprecision isn't minor anymore, it's catastrophic imprecision. Another special case. Trig heavy code will work 0% of the time if you have an obvious bug, or will work 99% of the time if you a subtle bug, and once you start chasing that long tail you're just adding 9s and will never get to 100%. And if you have code that will run thousands/millions of times per frame, you need a lot of 9s to make sure a user can get through minutes or hours of using your software without hitting bugs.

Doing the same work sticking strictly to vectors and matrices tends to either not work at all or be bulletproof.

The other thing is that trig tends to build complexity very quickly. It's fine if you're doing a single rotation and a single translation, but once you start composing nested transformations it all goes to shit.

Or maybe you're substantially better at trig than I am. I've only been doing trig for 30 years, so I still have a lot to learn before I stop making the same sophomore mistakes.
by tharkun__ | 2026-03-12 23:46:50+00:00
You're over-selling the minimum level of intelligence in homo sapiens.

What you're stating is your wishful thinking. Don't get me wrong. I'd also like what you say to be true. It very much is not. Quite the opposite, which is why salespeople "work".

The amount of AI bullshit Senior+ level developers just paste to me as truth is astonishing.
by sothatsit | 2026-03-12 23:46:57+00:00
It is not just startups or small companies embracing agentic engineering… Stripe published blog posts about their autonomous coding agents. Amazon is blowing up production because they gave their agents access to prod. Google and Microsoft develop their own agentic engineering tools. It’s not just tech companies either, massive companies are frequently announcing their partnerships with OpenAI or Anthropic.

You can’t just pretend it’s startups doing all the agentic engineering. They’re just the ones pushing the boundaries on best practices the most aggressively.
by Roguelazer | 2026-03-12 23:47:04+00:00
The important thing to remember is that for a large number of people (in the US), "work" is a place where they do things that they hate for eight hours a day, for people they hate (surveys routinely show between 40% and 60% of people are "satisfied" with their jobs). Those of us who are in the tech industry because we like actually programming computers (the "craft-lovers", in the parlance of this blog post) have been lucky enough to have jobs where where we get to actually do something we enjoy (even if it's intermingled with meetings and JIRA). If AI slop really is the future and programming becomes as rare of a job as hand-building wood furniture, then most of us are going to be living the normal experience of capitalism in a way that we are probably not well-prepared for.

Personally, I have noticed that I still produce substantially more and better code than the people at my company spending all day writing prompts, so I'm not too worried yet, but it seems plausible at some point that a machine that stole every piece of software ever written will be able to reliably turn a few hundred watt-hours of of electricity into a hallucination-free PR.
by throwaway555121 | 2026-03-12 23:47:10+00:00
> An interesting aspect of this, especially their blog post (https://malus.sh/blog.html ), is that it acknowledges a strain in our legal system I've been observing for decades, but don't think the legal system or people in general have dealt with, which is that generally costs matter.

Former lawyer here, who worked at a top end law firm. Throwaway account.

In my experience, the legal system and lawyers in general are deeply aware of this. It's the average Joe who fails to realize this, particularly a certain kind of Joe (older men with a strong sense that all rules are sacred, except those that affect them, those are all oppressive and corrupt and may possibly justify overthrowing the government).

Laws are social norms of varying strength. There's the law (stern face) and then there's the law (vague raising of hands). If you owe a bank $2m and you pay back $1m, then you're going to run into the law (stern face). If you have an obligation to use your best efforts to do something, and you don't do it, then we can all have a very long conversation about what exactly 'best efforts' means in this exact scenario, and we're more in the territory of law (vague raising of hands).

Administrative obligations are the vaguest of all, and that's where lawyers are genuinely most helpful. A good lawyer will know that Department so and so is shifting into harsher enforcement of this type of violation but is less concerned about that type of violation. They know that Justice so and so loves throwing the book in this kind of case, but rolls their eyes at that other kind of case. This is extremely helpful to you as a client.

> And without very many people consciously realizing it, we have centuries of laws that were written with the subconscious realization that enforcement is difficult and expensive, and that the discretion of that enforcement is part of the power of the government. Blindly translating those centuries of laws into rigid, free enforcement is a terrible idea for everyone.

Enforcement of laws is a political decision, and there is no way to ever escape this fact. If society gets concerned about something, politicians are going to mobilize old laws to get at it. If society relaxes about something, enforcement wanes. Drugs are an obvious example. A lot of the time the things society are concerned about are deeply stupid (is D&D satanic?), but in a democracy politicians are very sensitive to public sentiment. If you don't like the way the public debate is going, get involved.

> Yet we still have almost no recognition that that is an issue. This could, perhaps surprisingly, be one of the first places we directly grapple with this in a legal case someday soon, that the legality of something may be at least partially influenced by the expense of the operation.

The courts are only ever concerned about de jure legality. (It's the literal meaning of de jure!) There are other outlets for de facto legality in the legal system - e.g. the police can choose not to investigate, prosecutors can choose not to lay charges, or opt for lower-level charges, or seek a lenient sentence.
by Aurornis | 2026-03-12 23:47:33+00:00
This meta-analysis isn’t very convincing. Most of the studies included were primarily about other measures like IBS, COVID-related GI symptoms, or Fibromyalgia. Improving GI problems would be expected to improve mood.

The positive result is heavily driven by an outlier study on Fibromyalgia that has results that look a little too suspicious relative to the other studies.
by TZubiri | 2026-03-12 23:47:50+00:00
I want to clarify a little bit about what's going on.

Codex (the app, not the model) has a built in toggle mode "Build"/"Plan", of course this is just read-only and read-write mode, which occurs programatically out of band, not as some tokenized instruction in the LLM inference step.

So what happened here was that the setting was in Build, which had write-permissions. So it conflated having write permissions with needing to use them.
by cogman10 | 2026-03-12 23:48:05+00:00
That's basically how we treated butter while I grew up. So long as it's salted, it rarely goes bad outside the fridge. We had a butter dish and that was about it. The cover keeps the butter from turning a darker yellow and drying out. But we'd still eat it even when that happened.

Gotta be honest, though, I'm not a fan of grassy dairy products :). I had dairy cows growing up and in the spring their milk definitely took on a distinct grassy flavor. I personally preferred it more when it was primarily hay flavored. Store milk tastes like basically nothing in particular.
by s_dev | 2026-03-12 23:49:19+00:00
"Tu quoque" comments don't help any discussion. Both the US and Iran are wrong. Iran is wrong for the massacre and the US is wrong for starting a war with Israel against Iran. They are wrong for different reasons. Iran is run by a despotic regime and the US has lost the plot. Possibly Trump is trying to deflect from the Epstein files and create a rally around the flag effect as the midterms approach and doesn't have better ideas to get the public on side. Israel is in the wrong here too.
by danjl | 2026-03-12 23:49:51+00:00
> I was afraid the puzzle-solving was over. But it wasn't—it just moved up a level.

The craft can move up a level too. You still can make decisions about the implementation, which algorithms to use, how to combine them, how and what to test -- essentially crafting the system at a higher level. In a similar sense, we lost the hand-crafting of assembly code as compilers took over, and now we're losing the crafting of classes and algorithms to some extent, but we still craft the system -- what and how it does its thing, and most importantly, why.
by alex43578 | 2026-03-12 23:49:58+00:00
It’s not private equity’s fault, it’s the continued imposition of increasing taxes and government-mandated fees:

“The wireless market has become increasingly competitive. The result has been steady declines in the average price for wireless services. Over the last decade, the average monthly revenue per wireless line has fallen from $47.00 per month to $34.56 per month. Unfortunately, this price reduction for consumers has been partially offset by higher taxes.” - Tax Foundation (2023)
by skeeter2020 | 2026-03-12 23:50:07+00:00
This better matches my experiences and feelings than the divide which the author discusses. The craft is in the entire building, not specifically the coding aspects. I want to do a great job building a house, and if AI helps or even completes some aspects while meeting standards that's awesome. The problem is it hasn't yet shown it can be trusted as a sub trade, and we've got people outsourcing the entire project to an army of agents. The result looks a lot like the condo I bought a few years ago.
by Aurornis | 2026-03-12 23:50:43+00:00
> What's really cool is that the paper used low-dose capsaicin (just 5 μg/kg injected), and it completely restored hippocampal FOS activity and memory in older mice.

There are countless papers published where simple ingredients produce miracles in mice. Most of them don’t replicate.

If you look up most food ingredients you can find someone, somewhere claiming to have used it to produce amazing outcomes in mice. After you read a lot of those you learn not to take individual papers seriously if the claims seem too good to be true.
by bitexploder | 2026-03-12 23:52:33+00:00
What you experienced was the gut-brain axis failing under extreme metabolic stress in real time. 3-4x caloric demand and your enteric nervous system was under enormous strain dysregulation of serotonin production, inflammatory signaling flooding the vagus nerve upward into brainstem arousal states, directly degrading the prefrontal predictions that normally keep your self model coherent and future oriented. the nihilism wasn’t a psychological response to difficulty it was your predictive hierarchy collapsing from the bottom up, the higher level model of who you are and why this matters losing the competition against overwhelming lower level distress signals. The fact that it resolved when the intestinal distress subsided is actually clear indicator that mood and cognition are downstream of gut state more than we like to admit. our gut makes a like 80% of our serotonin or something
by EmmEff | 2026-03-12 23:52:45+00:00
I recall running Opus (or maybe the predecessor whose name escapes me) under DESQview on my lousy XT clone. I don’t recall it being crashy but it certainly didn’t have enough horsepower to handle the BBS software and an interactive DOS window.

I couldn’t afford a second machine in those days and having to sacrifice my one and only PC for the full-time BBS wasn’t fun :)
Show HN: Parevo Core – Auth, tenant, permission in one Go library
by parevo | 2026-03-12 23:53:15+00:00
I built Parevo Core because I kept rewriting the same auth + tenant + permission logic across Go projects.

Each time: JWT validation, refresh rotation, session revoke, tenant context, RBAC checks, SQL filters for tenant_id. Same patterns, different codebases.

So I extracted it into a modular library. You pick what you need: auth, tenant, permission, storage, cache, lock, billing, etc. Each module has interfaces; you plug in MySQL, Postgres, MongoDB, or Redis. No framework lock-in—works with net/http, chi, gin, echo, fiber, GraphQL.

What’s included:

Auth: JWT, OAuth2, SAML, LDAP, API keys, WebAuthn, magic link
Multi-tenant: lifecycle, feature flags, SQL filters
Permission: RBAC, ABAC, cached checks
Storage adapters: memory, Postgres, MySQL, MongoDB, Redis
Extras: cache, lock, health, job queue, billing, GDPR export
I’d love feedback—especially on the module boundaries and what’s missing for real-world SaaS.

GitHub: https://github.com/parevo/core
Docs: https://parevo.github.io/core/
by Aurornis | 2026-03-12 23:53:16+00:00
If this was true, sugar cravings would disappear when taking antibiotics that kill those microbes.

The fact that this doesn’t happen should give you pause about this woo-woo theory of cravings.

The reason you crave sugar and fat and other tasty things is that they taste good. You evolved in a world where feeling rewarded and driven to consume more of these was beneficial to survival when food was scarce.
by sarchertech | 2026-03-12 23:53:20+00:00
I’ve heard this thesis a lot, but it’s almost always from the result chasers.

It doesn’t resonate with me because I am a result chaser. I like woodworking because I like building something that never existed before. I don’t mind using a CNC router or a 3 printer to help me out. I don’t care about the process, I care about the result. But I care deeply about the quality of the result.

I don’t care about the beauty of the code, but I do care that nearly every app I load takes longer than it did 15 years ago. I do care that my HomePod tells my wife it’s having trouble connecting to iPhone every 5th time she adds something to the grocery list. I care that my brokerage website is so broken that I actually had to call tech support who told me that they know it’s broken and you have to add a parameter to go back to the old version to get it to work.

I care that when I use the Claude desktop app it sometimes gives me a pop up with buttons that I can’t click on.

I’ve used Claude and Cursor enough to have what I think are valid opinions on AI assisted coding. Coding is not the bottleneck to produce a qualify product. Understanding the problem is the biggest bottleneck. Knowing what to build and what not to build. The next big one is convincing everyone around you of that (sometime this takes even more time). After that, it’s obsessively spending time iterating on something until it’s flawless. Sometimes that’s tweaking an easing value until the animation feels just right. Sometimes that’s obsessing over performance, and sometimes it’s freezing progress until you can make the existing app bulletproof.

AI doesn’t help me with these. At least not much. Mostly because the time I spend coding is time I spend understanding, diagnosing, and perfecting. Not the code. The product.

It does help crank out one off tools. It does help me work in unfamiliar code bases, or code bases where for whatever reason I care more about velocity than quality. It helps me with search. It helps me rubber duck.

All of those things does boost my productivity I think, but maybe somewhere in the order of 10% all in.
by umanwizard | 2026-03-12 23:54:05+00:00
The experience of being a programmer who uses emacs and a programmer who uses vim is pretty similar. I love emacs, but if I were forced to use vim or intellij or whatever at a job that was otherwise my favorite job ever, I'd still do it.

AI is different: I don't want to use AI because it's a completely different kind of job, and one that I very strongly don't enjoy.
by epolanski | 2026-03-12 23:54:05+00:00
There's no divide.

Brilliant engineers, among the best software craftsmen out there are using AI daily and speeding up their processes.

The author of Redis, antirez, stated a month ago he spent 2 weeks on Redis tinkering with LLMs...and it was just design phase, not a single line of code was authored. The ability to interrogate LLMs and have them criticize his ideas and edge cases sped up his process by month.

He also used LLMs successfully to find multiple issues in Redis that would've took him longer to do without.

I myself spend with AI way more time tinkering and gathering information than authoring code.

Am I a craft lover or a result chaser?

But sure, let's keep everything in the divide conservative vs liberal, black and white, craftsman vs vibe coder...give me a break..