MurphyA/hacker-news huggingface dataset:
by txrx0000 | 2026-02-26 17:18:18+00:00
I don't think the cost has been doing down or will continue to trend downward long term. You're assuming that the public hasn't gained and won't gain additional capabilities while our adversaries evolve. But look at our communication reach, bandwidth, latency, and cipher strength.

How easy was it for the government to deliver mass propaganda before the Internet without the public realizing? How quickly and how many bits of information can Alice in Seattle reliably get to Bob in Houston with a strong cipher in the 1960s? Was there ever such a thing as a cipher that's widely used yet unbreakable by the state? Why do you think China banned TLS 1.3? Do you think it will be harder or easier to pretend to be a different person when there are open-source LLMs that can run on a gaming computer?

The Internet is a recent invention. Smartphones and seamless network coverage are even more recent, and so is curve25519. We're closer than ever to what is effectively secure instant telepathy with anyone in the world. We just need to stay vigilant and not be fall for doom and gloom in this last stretch.
by nightski | 2026-02-26 17:18:33+00:00
Actually no it just makes me use a different model. My uses are not nefarious at all, although it's fine for you to assume so. There are real, legitimate reasons why SynthId is actively harmful that do not involve deceiving or manipulating people at all. SynthId is just a stain on legitimate AI users. People who want to deceive or manipulate are not using Google models anyways. They are going to use a model without safety rails (which is not what I am advocating for per se, just that SynthId is an awful solution).

It actually reeks of Google, since it's a technical solution to a people problem. Google doesn't seem to understand people.
by edent | 2026-02-26 17:18:39+00:00
The thing is, the successful tech rarely get the excessive hype.

MRNA vaccines. Where are the countless breathless articles about these literal life saving tech? A few, maybe, but very few dudes pumping out asinine "white papers" and trying to ride the hype train.

Solar and battery. Again, lots of real world impact but remarkably few unhinged blowhards writing endless newsletters about how this changes everything.

I'm struggling to think of a tech from the last 20 years which has lived up to its hype.

Not everything is written to be insightful. Some things are just written to get them out of my head.
by hinkley | 2026-02-26 17:18:40+00:00
At the time that article was published in SIGPLAN, the dominant language was Java, which is officially statically, strongly typed.

Although really it isn’t because the JVM is strongly typed but evaluates some things at load or first invocation so it allows some languages that run in the JVM to be a bit tricky. They first generics implementation on the JVM, called Pizza, leveraged this load time concretization to do its thing.

But if you have a language that can resolve the type system at link time then you can do this trick. Alternatively you could switch to cuckoo hashing and if you next module load starts causing collisions, then so be it.
by waffletower | 2026-02-26 17:19:01+00:00
The juxtaposition of quotations at the head of this article will seem even more silly as AI progresses. The user-centric culture that Steve Jobs championed at Apple is quite orthogonal to the trajectory of artificial intelligence. AI has been under collective development for decades. Along this trajectory ChatGPT was the discovery of a viable "product". Remembering OpenAI's documented history, ChatGPT was not the result of building a tool towards solving a specific user need. It is no accident that Apple does not know what to do with AI yet. I am hoping that they can learn from Anthropic's tool empowerment lead and from the possibilities of OpenClaw, and instrument thoughtful AI integrations for their products. OpenAI can learn from them too, but they aren't in a particularly advantageous incumbent position like Apple and Google. But whatever Apple may do, it will only be a fraction of the AI story, regardless of its consumer success. Comparing the markets of OpenAI and Anthropic highlights this diversity.
by marssaxman | 2026-02-26 17:19:04+00:00
What do you mean by that? The brand was renamed several years ago:

https://www.pearlmillingcompany.com/our-history

"In June 2020, PepsiCo and The Quaker Oats Company made a commitment to change the name and image of Aunt Jemima, recognizing that they do not reflect our core values.

We want to thank everyone who has made us part of their family over the years, and look forward to starting a new chapter as the Pearl Milling Company."
by bloomingeek | 2026-02-26 17:19:21+00:00
Who can forget when China closed some factories in 2008 and 2022 so the smog would clear out before the Olympic games could begin? Could we potentially have "clean" factories built in America, maybe. But then could we afford the products they produced, hell no! If it was affordably possible, it would have already happened.

The working class citizens of China have paid the price for all the industrial factories. Don't believe it, look up the cancer studies China has published. (Oh right, communist countries always tell the truth, right?)
by GeoAtreides | 2026-02-26 17:19:37+00:00
You are missing my point.

It's not what you believe, it's not a question of AGI, it's what the managers and investors think will happen. It's about headcount and it's about the average dev. Sure, now you have one smart guy in the loop and 99 guys not affording their rents anymore.

You ignore the impact "anyone can do it" in the mind of a manager/CEO. It demotes the specialist dev to generic labourer, it devalues their worth.

Tech people need to develop a theory of mind and understand other people have very different views of reality and so make very different plans for the future. It doesn't matter you and Simon think AGI is not happening, it doesn't matter you both think there must always be a meatbag in the loop, what matters is what the managerial class and the guys with capital _think_ it's happening.
I built a 151k-node GraphRAG swarm that autonomously invents SDG solutions
by wisdomagi | 2026-02-26 17:19:50+00:00
Hi HN,
I wanted to share a passion project I've been building: PROMETHEUS AGI.
I got frustrated that most LLM/RAG applications just summarize text. I wanted to see if an agentic swarm could actually perform cross-domain reasoning to invent new physical solutions (focusing on UN SDGs).
The Stack:
Neo4j Aura (Free tier maxed out at 151k nodes / 400k edges)
Ingestion: Google BigQuery (Patents) + OpenAlex API
LLMs: Ollama (Llama 3) for zero-cost local entity extraction, Claude 3.5 via MCP for deep reasoning.
UI: Streamlit (Digital Twin dashboard) + React/Vite (Landing).
How it works:
The swarm maps problems (e.g., biofouling in water filters) to isolated technologies across different domains (e.g., materials science + nanobiology) and looks for "Missing Links"—combinations that don't exist in the patent database yet. So far, the pipeline has autonomously drafted 261+ concept blueprints (like Project HYDRA, a zero-power water purifier).
We are currently looking for domain experts (engineers, materials scientists) to validate these AI-generated blueprints and build physical prototypes, as well as grants to scale the graph to 1M+ nodes.
Dashboard: https://project-prometheus-5mqgfvovduuufpp2hypxqo.streamlit.app/
Landing/Deck: https://prometheus-agi.tech
I would love to hear your brutally honest feedback on the architecture, the Neo4j schema design, or the multi-agent approach!
by primis | 2026-02-26 17:20:16+00:00
I had a cholecystectomy a few years ago and had a complication that caused a gallstone to get lodged in my common bile duct after removal. Three days after surgery I was in the ER, I let them know I was in debilitating pain and that I just had surgery. They made me sit in the waiting room for 8 hours and only took me back when a doctor walked passed and noticed I was jaundiced. After his shift ended, the nurse who was watching me overnight while I waited to have an emergency surgery (because the surgeon had already gone home for the day by the time I got triaged) was told to keep an eye on me and do blood draws hourly. I didn't get seen once and by morning my liver enzymes were so high they were off the testing scale.

Sure you can go to the ER. The level of treatment you get heavily depends on luck
by rwmj | 2026-02-26 17:20:18+00:00
When I was being interviewed, we did talk about exactly this, including that libsystemd is a kitchen sink, and that eventually OpenSSH went with open-coding the equivalent to sd_notify instead of depending on libsystemd. (Also that ahem Red Hat added the dependency on libsystemd in a downstream patch oops).

However the editors (correctly IMHO) took the decision to simplify the whole story of dependencies. In an early draft they simplified it too much, sort of implying that sshd depended directly on liblzma, but they corrected that (adding the illustration of dependencies) after I pointed out it was inaccurate.

I agree with everything you say, but you have to pick your battles when explaining very complicated topics like shared libraries to a lay audience.

In general I was impressed by their careful fact checking and attention to detail.

Sadly they missed the misspelling (UNRESOVLED) even though I pointed it out last week :-( But that's literally the only thing they didn't fix after my feedback.
by whit537 | 2026-02-26 17:20:20+00:00
Agreed. Tailwind shows that a class of business models that were traditionally used to subsidize Open Source are vulnerable now that AI intermediates between downstream and upstream devs. It was always a tenuous funding arrangement, though, because it goes against the true economic grain of OSS as a "gift community." OSE aligns much more closely with the nature of OSS. I doubt we'll be able to help Tailwind in the short run, but hopefully we can address the problem at a deep enough level in the long run to avoid future Tailwinds (as it were).
by philipkglass | 2026-02-26 17:20:25+00:00
The US manufactures more watts of solar panels now than it ever has before. It just looks small because Chinese solar manufacturing has grown enormously.

First Solar makes panels in the US and is the single largest supplier for utility scale solar farms in the US. If someone wanted to build the world's largest solar farm in the US as a stunt, domestic First Solar capacity alone could do it:

https://pv-magazine-usa.com/2025/11/03/first-solar-to-open-i...

The current single largest solar farm is 15.6 gigawatts of nameplate capacity. It would take a bit more than a year of First Solar domestic manufacturing to surpass that.
by EForEndeavour | 2026-02-26 17:20:44+00:00
The source, personal significance, and intent of images and videos will matter a lot, though. I'll cherish photos of my family members forever, regardless of technical excellence.

Or a photo of my freshman dorm room during exam season. Subpar image quality, lousy lighting, etc. but so many memories, positive and negative, are elicited by that fleeting glimpse from an era of excitement, boredom, stress, uncertainty, and optimism, not knowing where I was going in life, when I'd ever look back at that snapshot, but deciding on a whim to grab it during a break from cramming topics now long forgotten.

But I roll my eyes at the idea of injecting my likeness into a short clip depicting random over-the-top action sequences, no matter how photorealistic, because I've never wanted to do that.
by ryandrake | 2026-02-26 17:20:44+00:00
Sure you can. It just takes backbone, which is rarely found in the political class.

If I, as a voter, voted for a politician who promised to ban dumping mercury in the local river, I don't expect them to say "Oh, but any company already dumping mercury in the river can keep doing so, because we don't want to hurt people's livelihood." That's not what I voted for.
by nozzlegear | 2026-02-26 17:20:45+00:00
> The overwhelming volume of Apples sales comes from people who wouldn't notice if their device was running 2016 level hardware.

How could we possibly know this? This is just an argument from elitism, as though the plebes should be happy playing Farmville on their gateway computers, while us haughty developers sit in our ivory towers and herald in the end of the anthropocene using machines we can actually appreciate.
Show HN: I built an open-source analytics platform for Claude Code sessions
by jjak82 | 2026-02-26 17:21:10+00:00
Claude Code is becoming central to how teams write software, but session data is ephemeral and costs are opaque. So I built Confabulous — a
self-hosted platform that captures, archives, and analyzes every session across your team.

Your sessions contain real code and architecture decisions — they never leave your network. Multiplayer with GitHub/Google/OIDC auth.

What you get (so far):

→ archive with full-text search
→ per-session and aggregate, by model, with trend charts
→ — tool usage, files modified, agent invocations, Claude utilization %
→ - with actionable improvement suggestions
→ with automatic secret redaction
→ — sessions auto-link to PRs and commits

Example from Christmas time: https://lnkd.in/guVb5Nx2

Things are moving fast — new features rolling out regularly.

Open source: https://lnkd.in/gi5eqxh8

Or try it at https://confabulous.dev

Generated with Claude Code
by gus_massa | 2026-02-26 17:21:49+00:00
Autotranslation:

> How many kisses?

> How many kisses do you give in your department?

> Participate in the creation of this map by voting

It's strange to not see the 0 kiss options. Does the number change by gender?

Here in Argentina,

Buenos Aires city:

M-M: 1 M-F: 1 F-F: 1

Rest of the country:

M-M: 0 M-F: 1 F-F: 1

And you may ask what happen when a male from Buenos Aires meet a male from other city...
by 2b3a51 | 2026-02-26 17:21:53+00:00
Chelsea Light Removals

> Here Reich fell in with musicians, dancers, sculptors and filmmakers. Sculptor Richard Serra was a neighbour of Reich’s at the time in Lower Manhattan, as was experimental filmmaker Michael Snow. For a brief period, Reich helped out with fellow minimalist Philip Glass’s removal company, Chelsea Light Moving. He recalls paying $65 a month in rent for a loft on Duane Street. “But I had a hard time paying that,” he says.

From

https://www.ft.com/content/02edd1fa-8e18-4483-ba24-7559d329a...

(also https://archive.is/C1TiZ)

I recollect reading that Reich made a definite decision against teaching as a day job because of the demands if you do it right.
by whit537 | 2026-02-26 17:21:56+00:00
Kinda up to you. Recruit your friends to join if you want a say. :^)

> Individuals contributing at least $1,000/year to the endowment fund qualify as OSE Members. Members advise the OSE board on strategic matters, such as the grant-making model, and appoint community-nominated board directors. These rights are legally defined in our membership policy.

https://github.com/osendowment/foundation?tab=readme-ov-file...
by dragonwriter | 2026-02-26 17:22:12+00:00
Because models can be used to alter existing images, you can use open and commercial models together in content creation workflows (and also the available findings of open models, and the ability to further tube them very specific used, are quite powerful on their own), so the censorship on the commercial models has a lot less effect on what motivated people can produce than you might think.

I still think, even with that, that like most predictions of AI taking over any content industries, the short-term predictions are overblown.
by sgarland | 2026-02-26 17:22:25+00:00
I don't disagree with your take on what how LLM copy is awful; I just disagree that this was written by an LLM. For example, this paragraph at the end:

> If you're in this position (relied upon, validated, powerless), you're not imagining it. And it's not a communication problem. "Just communicate better" is the advice equivalent of "have you tried not being depressed?"

I've seen "you're not imagining it" countless times from LLMs, but always as the leading sentence in the paragraph; for something like the above, they tend to use em-dashes, not parentheses.

FWIW, Grammarly's AI Detector thinks that 17% of it resembles LLM output, and ZeroGPT thinks that 4.5% of it resembles LLM output.
by jedberg | 2026-02-26 17:22:26+00:00
I've been using it to replace things that I used to do for personal projects in photoshop/gimp. Remove a background, add a person, put a letter in here that looks like the same crayon as the other letters.

Things that would take me an hour or so the old way takes three minutes with NB.

But I can see this applying to small businesses. Something that some random person would have to spend on hour photoshopping can be done in a few minutes with NB.
by mattnewton | 2026-02-26 17:22:44+00:00
This exists with Claude code / cursor agent, just agent -p or claude -p.

But I think the more powerful thing is “I want a storybook of mamals, one for each letter” -> local LLM that plans to use search for a list of animals, filters them by starting letter and picks one for each, and maybe calls a diffusion model for pictures or fetches Wikipedia to be get context to write a blurb about it.

The key unlock imo is the local LLM recognizing the limits of it’s own ability and completing tool use calls, rather than trying to one shot it with next word completion with its limited parameter count.
by qmacro | 2026-02-26 17:22:52+00:00
If this intersection is of interest to you, so might Mason Currey's book Daily Rituals ("On the routines and working habits of 161 inspired minds, from Beethoven to Donald Barthelme, Kafka to Georgia O’Keeffe") which I've enjoyed very much (no affiliation), for similar reasons.

Link: https://www.masoncurrey.com/daily-rituals
by austinjp | 2026-02-26 17:23:15+00:00
I always feel this argument misses a point. SkyNet may still be a long way off, but autonomous killer drones are here. That is a bad situation my dudes.

Every step on the journey towards SkyNet is worse than the preceding step. Let's not split hairs about which step we're on: it's getting worse, and we should stop that.
by duxup | 2026-02-26 17:23:19+00:00
I'll riff off this and say that even Google in its heyday was strangely uneven from product to product. Some products were amazing, still pretty dang good. Some products were released in a mess, abandoned nearly from the start, or driven into the ground with seemingly very little competence driving them. It always felt like Google had a bit of a darker side lurking as far as just getting basics wrong product to product.
by cestith | 2026-02-26 17:23:35+00:00
There were years in the 1990s and early 2000s when it was easy to get faster runtimes by using more memory, back when even on a multi-user system like Linux or BSD was typically running one main program at a time. We had multiple hardware web servers, multiple hardware email servers, and multiple hardware database servers. Getting the most CPU performance out of the system for your applications was the order of the day.

Now, almost everything on the server side is a VM or a container. We have lots of neighbors who want to share the CPU and the RAM, and the RAM is the bigger constraint because the CPUs have 192 cores and each of those cores does a dozen times as much work as a decade ago. Heck, we used to have the memory controller on the motherboard and the last level of cache was a chip or module of SRAM outside the CPU.

We also have a situation now in which the multiple in speed of the CPU over RAM has skyrocketed, but the caches have gotten far larger and much smarter. Smaller things arranged differently in RAM make things run faster because they make better use of the cache.

Now that RAM is expensive, shared, and program and data size and arrangements are bound to cache behavior, optimization can lean heavily into optimizing for RAM again.

Some of these arguments hold true for desktop systems as well.

I have wondered for years when the time will come that instead of such huge and smart caches, someone will just put basically register-speed RAM on the chip and swap to motherboard RAM the way we swap to disk. HBM is somewhere close, being a substrate stacked in the package but not in the CPU die itself.
by mwigdahl | 2026-02-26 17:23:56+00:00
I don't know what you like, but in addition to the Book of the New Sun I really enjoyed his three-volume "Soldier" series, about a mercenary in ancient Greece who suffers from Memento-style amnesia (although this series far predates Memento).

The "Wizard Knight" series (two books) I also really enjoyed if you like something with a bit more fantasy bent.

Can't recommend Wolfe enough!
by bb88 | 2026-02-26 17:23:57+00:00
> I had this argument a number of times with cryptobros at the time “if it’s on the chain it’s fair game” I heard quite often. Just, no. Just because some code allows you to get away with something doesn’t make it not illegal[1]

But that is/was the cryptobros argument: Code is Law! And now instead of fixing the algos they're going right to suing each other just like TradFi with TradLaw.

Crypto is the future!
by fersarr | 2026-02-26 17:24:03+00:00
Apart from the fact that some countries don't allow dual citizenships so you would loose the other one:

- cost: ~2k

- time: 2 exams

- paperwork required to keep other nationalities in some cases

- after feb 2026, you can only re-enter the UK with a British passport (more cost) or with extra paperwork to enable your other passport (more costs ~500)
by RajT88 | 2026-02-26 17:24:14+00:00
I am in this boat. My employer tracks daily copilot usage, and has gamified it across teams.

I ask SME's questions, and I get AI generated responses. The message it sends is this: don't bother me; I can't be bothered, just use AI. People are sending these low-effort Copilot writeups to our customers too - I can't imagine what they think of it.

The reason we pay SME's is because they can be trusted to provide correct answers that we don't have to be skeptical about. The people doing this haven't figured out yet they are undermining their own credibility and optics on willingness to help out the team by doing so.

Just this week, I had several people suggest, "Hey, have you asked copilot about [esoteric networking thing]?". Indeed, I have, and in the absence of documentation, it gave me 5 convincing theories - none of which actually checked out when I dug into them. It just made wrong shit up.

Most frustrating is the integration with our tenant. I try and ask questions about things I need deeper information on.

Me: Hey Copilot, can you dig me up more information on X thing?

Copilot: Have you considered (waves hand in sweeping motion), everything you yourself have written on the topic?

If I want real answers I turn to the free ChatGPT, or my personally paid Claude subscription. Then I copy-pasta the stuff which is useful, and maintain my own writing style, and present the information in a way which I think works best for who I am talking to.