MurphyA/hacker-news huggingface dataset:
by pjdesno | 2025-08-28 16:19:28+00:00
The FTL executes on the SSD controller, which (on a DRAM-less controller) has limited on-chip SRAM and no DRAM. In contrast, a controller for more expensive SSDs which will require an external on-SSD DRAM chip of 1+GB.

The FTL algorithm still needs one or more large tables. The driver allocates host-side memory for these tables, and the CPU on the SSD that runs the FTL has to reach out over the PCIe bus (e.g. using DMA operations) to write or read these tables.

It's an abomination that wouldn't exist in an ideal world, but in that same ideal world people wouldn't buy a crappy product because it's $5 cheaper.
by thrance | 2025-08-28 16:20:15+00:00
No one is selling their research through these papers. Researchers have to pay to publish their findings, and other researchers have to pay to access them. The only ones benefiting from this insane state of affairs are the journals, who are actively hampering the scientific process in the age of the internet.

> Shouldn't they have the right to sell their findings?

These companies make profit by selling actual products, and by patenting what findings may be profitable. I don't think they can even begin to recoup their R&D expenses by selling papers... On the other hand, open science benefits everyone. It makes public research that much more efficient and allows private actors to make the most out of it.
by stego-tech | 2025-08-28 16:20:17+00:00
Then you add in the fact pensions are invested into Private Equity, and it’s glaringly obvious how fragile (and already broken) the US economy is.

Returning to ZIRP is bad, as is removing the Fed’s independence, as is allowing PE to continue operating unchecked, as is a whole bunch of other stuff (over regulation of small businesses, under regulation of corporate behemoths, over reliance on government assistance programs by workers of for-profit companies due to low wages, the precarity of gig work, the displacement of educated workers by automation while simultaneously dismantling social safety nets, the student debt crisis, the housing crisis, the auto crisis, infrastructure crisis, etc, etc).

As you pointed out (and the initial detractor ignores), it’s not that ZIRP itself was bad in theory, but rather that a return to it - knowing the harms it caused - is bad, and that there is no outcome of the Fed losing independence that doesn’t end with the wholesale demolition of the foundation of the global economy, that being the US Dollar and Economic engine lifting all boats through political independence.
by schiffern | 2025-08-28 16:20:42+00:00
>You fight with the army you have.

You craft the analogy to suit your conclusion.

Building an "army" of E-Gas synthesis capacity (and worse, an "army" of the 300+% increase in wind and solar to cover inefficiency) is harder than replacing that "army" of cars with EVs.

E-Gas greenwashes fossil fuel stranded assets, but it's not a serious attempt at an energy source.
by rprend | 2025-08-28 16:21:01+00:00
It’s funny you mention apartments, because that is exactly the comparison i thought of, but with the opposite conclusion. If you buy an apartment with debt, but get positive cash flow from rent, you wouldn’t call that unprofitable or a bad investment. It takes X years to recoup the initial debt, and as long as X is achievable that’s a good deal.

Hoping for something net profitable including fixed costs from day 1 is a nice fantasy, but that’s not how any business works or even how consumers think about debt. Restaurants get SBA financing. Homeowners are “net losing money” for 30 years if you include their debt, but they rightly understand that you need to pay a large fixed cost to get positive cash flow.

R&D is conceptually very similar. Customer acquisition also behaves that way
by Closi | 2025-08-28 16:21:07+00:00
I'm not entirely sure the analogy is fair - Amazon for example was 'ridiculed' for being hugely unprofitable for the first decade, but had underlying profitability if you removed capex.

As a counterpoint, if OpenAI were actually profitable at this early stage that could be a bad financial decision - it might mean that they aren't investing enough in what is an incredibly fierce and capital-intensive market.
by dcre | 2025-08-28 16:21:40+00:00
What are we meant to take away from the 8000 word Zitron post?

In any case, here is what Anthropic CEO Dario Amodei said about DeepSeek:

"DeepSeek produced a model close to the performance of US models 7-10 months older, for a good deal less cost (but not anywhere near the ratios people have suggested)"

"DeepSeek-V3 is not a unique breakthrough or something that fundamentally changes the economics of LLM’s; it’s an expected point on an ongoing cost reduction curve. What’s different this time is that the company that was first to demonstrate the expected cost reductions was Chinese."

https://www.darioamodei.com/post/on-deepseek-and-export-cont...

We certainly don't have to take his word for it, but the claim is that DeepSeek's models are not much more efficient to train or inference than closed models of comparable quality. Furthermore, both Amodei and Sam Altman have recently claimed that inference is profitable:

Amodei: "If you consider each model to be a company, the model that was trained in 2023 was profitable. You paid $100 million, and then it made $200 million of revenue. There's some cost to inference with the model, but let's just assume, in this cartoonish cartoon example, that even if you add those two up, you're kind of in a good state. So, if every model was a company, the model, in this example, is actually profitable.

What's going on is that at the same time as you're reaping the benefits from one company, you're founding another company that's much more expensive and requires much more upfront R&D investment. And so the way that it's going to shake out is this will keep going up until the numbers go very large and the models can't get larger, and then it'll be a large, very profitable business, or, at some point, the models will stop getting better, right? The march to AGI will be halted for some reason, and then perhaps it'll be some overhang. So, there'll be a one-time, 'Oh man, we spent a lot of money and we didn't get anything for it.' And then the business returns to whatever scale it was at."

https://cheekypint.substack.com/p/a-cheeky-pint-with-anthrop...

Altman: "If we didn’t pay for training, we’d be a very profitable company."

https://www.theverge.com/command-line-newsletter/759897/sam-...
by nikolay | 2025-08-28 16:21:52+00:00
Why would I sane person keep putting these uncontrollable spike-protein-producing machines in their bodies?! Don't they read the studies that the spike protein is found in all kinds of organs and tissues years after vaccination, mainly in the brain though? The protein is considered toxic. There's also an IgG4 issue with mRNA vaccination. Many long haulers actually have vaccine injury - I am one of them. Right after the first shot I got myocarditis - severe palpitations, and going for the second shot I told them about it, but they said that it's normal!!! The second short was way worse and I had 2-3 palpitations per minute for over 6 months. I couldn't sleep normally due to the stress palpitations cause! Nobody cared about this, and I have a damage heart from the vaccine, in addition to all other symptoms, which onset is immediately after the vaccine - headaches, poor sleep, 4-6-month periods of heavy palpitations, hair loss, etc. So, this is no flu shot. This is a brand-new class of medications, and it needs to be studied. We're no longer in a pandemic and we should be careful about these vaccines, which, by the way, are not sterilizing either, so, they hold a very little epidemiological value.
by ge96 | 2025-08-28 16:22:04+00:00
Kind of sad, I had both PP and PPP

When they were "new" the tech was old already and then the lack of drivers for the camera for example which I can't talk, I'm not a driver developer. I thought it would make me get into developing drivers but I never did.

Or writing Qt/C++ apps vs. cross platform/web that I was used to.

For some reason I was obsessed with the thought of Dex/your phone being a computer if connected to a big monitor, it was cool using VS Code on the PPP but there would be problems. The external monitor I think was capped to 1920x1080 (if connected to a 1440P display a huge chunk was just static)

I had my fun with it

I was interested in the Pine 64 eInk tablet but that seemed to not be in stock at the time. I had the Remarkable 2 at one point, I want to get it again.

edit: looks like the PineNote is in stock right now

my consumer brain is getting tickled, might get a PineNote, what I liked about the RM2 is I didn't have to charge it for like a month was crazy, unfortunately PineNote doesn't seem to have that, and no tilt support on pen but ehhh. I don't know if RM forces you to have a subscription now, I didn't have it on mine when I got it in like 2022.
by LargoLasskhyfv | 2025-08-28 16:22:12+00:00
Try https://en.wikipedia.org/wiki/The_Golden_Book_of_Chemistry_E...

Btw, when I did this the internet didn't exist, 1977 to 1980, I think. It was in schoolbooks for chemistry, not chlorate stuff, but blackpowder at least. I also went into university libraries for more advanced stuff, after understanding teachers gave hints, and warnings, about not doing anything which one doesn't really understand. Not limited to explosives. Toxicity, fumes, pH, and so on.

We've been really dumbed down. No more interesting experimental kits ( https://en.wikipedia.org/wiki/Chemistry_set ) . No more availability of the ingredients. I could walk into a drug store and get that stuff for chump change, there. Not needing to produce finest charcoal myself. Or sulfur. Potassium nitrate. Flashbulbs and a 9V-block and some wires for electrical ignition!1!!

Bang! Whee!

edit: Thinking about it I can't shake the feeling that it did not make us safer. Though that may depend on the country.

Anyway, one does hear and read about much more loud booms caused by reckless use of smuggled illegal fireworks year round. Be it just for fun, ripping up trashcans, recycling containers, shopping windows, ATMs...

Or the really 'good stuff' (military) smuggled in from afar.

Or, well... just guns?
by 1718627440 | 2025-08-28 16:22:16+00:00
> if all it did was substitute for X, and behave exactly the same way?

LSP is about behaviour existing in the supertype. Adding behaviour doesn't violate LSP.

> In a graphics program, an ellipse and rectangle are substitutable in that they have a draw() method and others, so that they plug into the framework.

The behaviour in question means it draws something. It can draw something different every time, and not violate LSP here.
by coolKid721 | 2025-08-28 16:22:37+00:00
This whole attitude is just the attitude of tech demos. Nothing good or worthwhile will be "completed playable game in a couple days" actually making anything good takes a huge amount of time and effort and thought. Empowering a small indie studio or solo indie dev so they could make something AA or AAA quality should be the actual goal. If you have 4 people able to make a skyrim level game in a year or two that's an insane feat, that should be the goal. Not someone who doesn't give a shit throwing some prompt and making some slop game that is exactly like 500 other slop games people generate with one prompt.

Like with that tech what kind of games would say random solo developers plugging at it and refining it be able to make in 4 years, that is the extremely compelling stuff. One person being able to make some auteur AAA quality game on their own, even if it takes a long time that might actually be good. If there are AI games those are the ones I'd want to play.
by ACCount37 | 2025-08-28 16:22:55+00:00
I don't think it is.

Sure, you can view an LLM as a lossy compression of its dataset. But people who make the comparison are either trying to imply a fundamental deficiency, a performance ceiling, or trying to link it to information theory. And frankly, I don't see a lot of those "hardcore information theory in application to modern ML" discussions around.

The "fundamental deficiency/performance ceiling" argument I don't buy at all.

We already know that LLMs use high level abstractions to process data - very much unlike traditional compression algorithms. And we already know how to use tricks like RL to teach a model tricks that its dataset doesn't - which is where an awful lot of recent performance improvements is coming from.
by evertheylen | 2025-08-28 16:23:19+00:00
Yeah props to the `pasta` tool, it solves a specific problem really well.

Nice script! I considered a similar approach that's based on "magic" files in the filesystem before, but it was difficult to get the security right. In your case I believe a malicious script can just overwrite .podman/env and it will be sourced by the host the next time you start the container.

I'm happy to discuss this more, feel free to reach out at evertheylen@gmail.com. I'm particularly interested in trying automated ways to try to break out of a container (like https://github.com/brompwnie/botb), this would benefit any containerization project.
by PhantomHour | 2025-08-28 16:23:27+00:00
It's a business model problem; The "Uber" business model relies on a monopoly.

The business model is 1) "Have artificially low prices to push all competing business into bankrupty", 2) "Now that we're a monopoly, raise prices massively", 3) Massive profit, so long as no government starts doing anything about the fact that both steps #1 and #2 are illegal.

That business model fails the moment you have multiple startups dumping the market, none can move to step #2 because they'd bleed all their users to whichever competitor is still in step #1.
by dcre | 2025-08-28 16:23:51+00:00
ICYMI, Amodei said the same in much greater detail:

"If you consider each model to be a company, the model that was trained in 2023 was profitable. You paid $100 million, and then it made $200 million of revenue. There's some cost to inference with the model, but let's just assume, in this cartoonish cartoon example, that even if you add those two up, you're kind of in a good state. So, if every model was a company, the model, in this example, is actually profitable.

What's going on is that at the same time as you're reaping the benefits from one company, you're founding another company that's much more expensive and requires much more upfront R&D investment. And so the way that it's going to shake out is this will keep going up until the numbers go very large and the models can't get larger, and then it'll be a large, very profitable business, or, at some point, the models will stop getting better, right? The march to AGI will be halted for some reason, and then perhaps it'll be some overhang. So, there'll be a one-time, 'Oh man, we spent a lot of money and we didn't get anything for it.' And then the business returns to whatever scale it was at."

https://cheekypint.substack.com/p/a-cheeky-pint-with-anthrop...
by tart-lemonade | 2025-08-28 16:25:05+00:00
I was also curious about this. Table A1 on page 56 lists examples of positions that are automated vs augmented, and these are the positions the authors think are going to be most augmented (allegedly taken from [0]):

- Chief Executives

- Maintenance and Repair Workers, General

- Registered Nurses

- Computer and Information Systems Managers

After skimming [0], I can't seem to find a listing of jobs that would be augmented vs automated, just a breakdown of the % of analyzed queries that were augmenting vs automating, so I'm a bit confused where this is coming from.

[0]: https://arxiv.org/abs/2503.04761
by ethagnawl | 2025-08-28 16:25:07+00:00
This is a bummer. If there was ever a time this sort of device was needed, it's now / in the near future when Google (probably) starts requiring all Android apps to be signed by approved developers and further locks down the Android platform.

I kind of regret not buying one of these instead of a Pixel 7 but, unfortunately, I'm pretty tethered to the Android ecosystem at the moment.
Show HN: NPL, a programming language with authorization as first‑class citizen
by jeanhaiz | 2025-08-28 16:25:54+00:00
I always struggled to build simple authorisation systems. It’s a multi-layer mess: API-level role checks, countless object-user DB tables, and SQL/ORM spaghetti just to manage rights.

With NPL, my authorisation lives in a single place.

When I create a new protocol instance (NPL data objects), I attach user attributes that define who can read and do what. And that’s it, the NPL runtime takes care of the rest — I have a fully authorised backend without adding layers and layers of authorisation.
by ffsm8 | 2025-08-28 16:26:00+00:00
That makes the calculation nonsensical, because if you go there... you'd also have to include all energy used in producing the content the other model providers used. So now suddenly everyones devices on which they wrote comments on social media, pretty much all servers to have ever served a request to open AI/Google/anthropics bots etc pp

Seriously, that claim was always completely disingenuous
by dragonwriter | 2025-08-28 16:26:31+00:00
> The cheapest provider in your link charges 460x more for input tokens than the article estimates.

The article estinates $0.003 per million input tokens, the cheapest on the list is $0.46 per million. The ratio is 120×, not 460×.

OTOH, all of the providers are far below the estimated $3.08 cost per million output tokens
by NoMoreNicksLeft | 2025-08-28 16:26:33+00:00
>This boths sides stuff is such bullshit, we have armed goons disappearing people on the streets,

When people used to say "disappearing people off the streets", they were trying to paint a picture out of Orwell's 1984, where the secret police not only drag someone off never to be seen again, but no one can or will acknowledge that they were ever born in the first place.

When people today say "disappearing people off the streets", they mean illegal aliens are being detained to be deported to their home countries, but not actually deported because it takes forever for the court cases to slowly roll onward. But these same people also confused and hysterical why only rabid Democrats are alarmed by this.
by carrodher | 2025-08-28 16:26:39+00:00
Just to be crystal clear about the open source part: the code for all container images will continue to be maintained, kept up to date, and publicly accessible on GitHub (https://github.com/bitnami/containers) under the Apache 2 license.

What Bitnami is discontinuing is the publishing of prebuilt images to public registries. However, the build code remains available, so users can still build the images themselves and push them to their own registries by running a couple of commands.
by JdeBP | 2025-08-28 16:27:05+00:00
I should add, by the way, that this nicely demonstrates M. Geerling's point here about catching bugs by running things on a Pi.

The TianoCore's unnecessarily recursive implementation of a destructive BS is slow enough, on a Pi 4, and in combination with how the boot loaders themselves emitted their spinners, that I could just, very occasionally, see parts of spinner characters flashing very briefly on the screen when the frame refresh timing was just right; which led me to look into what was going on.
by ivanjermakov | 2025-08-28 16:27:07+00:00
Too bad the notion of completed/finished/done software is very weak. In theory, there it nothing wrong with an OSS project made by one person.

I would like to see the LOC these one-person projects with >1M downloads have. I suspect most of these are a simple Node/browser/OS API single-file wrappers that are simple to get right and treat it as complete.

At the same time such projects are easy to verify upon adding as dependency. Lately, I've just copy-pasted relevant parts of a library to my project because adding it as a dependency has a cost. I doubt this is a common practice though, especially in NPM land.
by JohnBooty | 2025-08-28 16:27:40+00:00
There's a very large range of situations (many highly personal) for which I'd consider an AI writing assist to be super valid. They may have dyslexia. English may not be their first language. They may have brilliant ideas but otherwise struggle with writing. They may simply be highly invested in making sure they are expressing themselves clearly. They may be too physically or mentally tired to polish their writing "manually." They may be under unfortunate time constraints. Maybe the guy has kids to take care of, or just needed to finish his blog post by a certain time so he could get a good night's sleep.

The list of possible reasons is so vast and varied that I coalesce this down into essentially "I don't care and I don't need to know. As long as the end result is an honest representation of the author's intent, i.e. is not AI slop"

It feels like if a friend wanted to vent to me on discord but didn't trust me enough to do it without editing their post for hours, or something.

I'm being pedantic but as a good comparison. A friend DM'ing you is explicitly asking you to spend your time reading the message. Additionally you and your friend have preexisting context and rapport. If they don't express themselves in anal-retentive detail clearly in the DM, you can fill in the gaps with your shared context, a luxury that a person writing for the public doesn't have. (again, pedantic on my part, I know!)
by otter-in-a-suit | 2025-08-28 16:27:56+00:00
I do both. The primary server runs Proxmox and I have a physical TrueNAS box as backup server, so I have to do it by hand on Proxmox.

“Have to”, since I no longer suggest virtualizing TrueNAS even with PCI passthru. I will say the same about zfs-over-USB, but you do you. I’ve had too many bad experiences with both (for those not on the weeds here, both are officially very much not supported and recommended, but they _do_ work).

I really like the TrueNAS value prop - it makes something I’m clearly capable of by hand much easier and less tedious. I back up both my primary zfs tank and well as my PBS storage to it, plus cold backups. It does scheduling, alerts, configuration, and shares, and nothing else. I never got the weird K8s mini cluster they ship - seems like a weird thing that clashes with the core philosophy of just offering a NAS OS.
by aeternum | 2025-08-28 16:28:01+00:00
This can be technically true without being actually true.

IE OpenAI invests in Cursor/Windsurf/Startups that give away credits to users and make heavy use of inference API. Money flows back to OpenAI then OpenAI sends it back to those companies via credits/investment $.

It's even more circular in this case because nvidia is also funding companies that generate significant inference.

It'll be quite difficult to figure out whether it's actually profitable until the new investment dollars start to dry up.
by lif | 2025-08-28 16:28:10+00:00
Hmm. Anecdotal, however most folks I have spoken with, who don't agree on much at all, do agree that they no longer have a lot of faith in most of those so-called reliable/reputable sources. Hence also not in wikipedia.

Personally, I have seen many articles, esp. of individuals who just before had become publicly visible, re-written drastically enough to cast serious doubt on the objectivity of Wikipedia.

It would appear as a society you can have either foster trust (we may have forgotten how to do this?) or feed a bloated police/surveillance/intel state, but not both?

Am curious about others experiences with these matters!
by mixmastamyk | 2025-08-28 16:29:00+00:00
Not surprising. These phones were out of date when they debuted and not updated, in like five years?

I played with one for a bit but then mobian trixie updates bricked it twice and I gave up. Only wanted it to be on par with my old iPhone 6s, but it never achieved that.

Star labs makes a great Linux tablet, the starlite, so it is near possible to make a decent floss phone these days.