MurphyA/hacker-news huggingface dataset:
by cadamsdotcom | 2025-11-19 10:56:11+00:00
> Multiverse turned to a mathematically complex approach borrowed from quantum physics that uses networks of high-dimensional grids to represent and manipulate large data sets. Using these so-called tensor networks shrinks the size of the model significantly and allows a complex AI system to be expressed more efficiently.

> The method gives researchers a “map” of all the correlations in the model, allowing them to identify and remove specific bits of information with precision. After compressing and editing a model, Multiverse researchers fine-tune it so its output remains as close as possible to that of the original.

This seems to be the substance but I didn’t spot a link to a paper. Is there a technical explanation someplace?
Show HN: Synch- an AI dating app with an emotionally intelligent coach
by emrekuc | 2025-11-19 10:56:41+00:00
I’ve been working on synch, an AI-supported dating app that focuses on emotional intelligence rather than infinite swiping. Instead of random matches, users interact with an AI coach (multi-agent system) that analyzes preferences, values, and communication patterns to suggest meaningful connections. Happy to get thoughts on the tech approach and where we can improve.
by Eingrand1978 | 2025-11-19 10:56:43+00:00
With companies deploying an average of 75+ security tools to manage their network infrastructure, the complexity of cybersecurity management has reached critical levels. The network security tools market alone is expected to reach $50 billion in 2025, growing at a 12% CAGR through 2033.

This complexity creates significant operational challenges: security teams struggle with tool sprawl, fragmented visibility, and increased mean time to resolution (MTTR). A single pane of glass (SPOG) solution addresses these challenges by unifying multiple monitoring tools and data sources into one centralized interface, providing complete network visibility and enabling teams to monitor thousands of connected devices efficiently
by user____name | 2025-11-19 10:58:47+00:00
Its funny how mass transit was once seen as a way out of the crisis of too many city horse carriages and all the manure they produce. Metro and rail was simply considered the natural solution, which combined with denser living space allowed for labor intensive industries to sprout up around cities. But then came the horseless carriage and suburbian sprawl became a thing and now we have too much of that. Too much hardened soil and flooding is becoming a much bigger problem, animal and insect populations wither, road networks have upkeep, transport and storage costs make everything imperceptably more expensive. In my scifi fantasy future vertical farming will become a thing which should allow a major shrinking of hinterlands around dense population areas, though preferably not replaced with suburbia. Maybe we could go live in the clouds too.
by andrewingram | 2025-11-19 11:00:21+00:00
To me, the really impressive thing about Blender is that it now has a pretty good UI. I'm pretty snobby about the GUI apps I install, and Blender is probably the only professional-level (as in professional users) open source tool that feels pretty good to use on a Mac. In the early days it was pretty rough, but it's rare to see open source software UI consistently improve like this.

On aesthetics, it definitely beats out Lightroom Classic, which is a closed-source paid tool (sidenote: I really miss Aperture).
by burnt-resistor | 2025-11-19 11:01:45+00:00
> My guess is that, in full screen, memory writes and reads to the VGA are given direct access to the hardware to preserve performances. [sic]

When a DOS VM is in windowed mode, Windows must intercept VGA port I/O and video framebuffer RAM access to a shadow framebuffer and scale/bitblt it to display in its hosted window.

In full screen, exclusive VGA access is possible so it doesn't need to do anything special except restore state on task switching.

Quake would be even faster if it didn't have to support DPMI/Windows and ran in "unreal mode" with virtual memory and I/O port protections disabled.
by tecleandor | 2025-11-19 11:03:48+00:00
I think it's been calculated that data transfer is the biggest margin product in all AWS catalog by a huge difference. A 2021 calculation done by Cloudflare [0] estimated almost 8000% price markup in EU and US regions.

And I can see how, in very big accounts, small mistakes on your data source when you're doing data crunching, or wrong routing, can put thousands and thousands of dollars on your bill in less than an hour.

--

0: https://blog.cloudflare.com/aws-egregious-egress/
by willis936 | 2025-11-19 11:04:44+00:00
This is what I feel is the case. That is putting a lot of customers on the table. Valve / GabeN get it. In 2025 they make a marketing point about how their hardware runs arch and you can put whatever software you want on it. Valve is positioned to eat Microsoft's and Google's lunch if they're not careful. While chasing the fear of losing customers they are actively losing customers.
by nickserv | 2025-11-19 11:05:00+00:00
Death follows mating for the males and the eggs hatching for the females. Not an uncommon behavior, all sorts of plants (ie agave) and animals (ie salmon) have a similar strategy. Meaning the strategy works very well, and would likely be controlled by very different genes, depending on the species.

Changing this "death gene" via a breeding program is likely to fail, but could perhaps be accomplished via gene editing like CRISPR.

Another approach would be delaying sexual maturity. Doubling the lifespan to something like 4-5 years in the common octopus would have very interesting results. However, doubling the lifespan would effectively halve the number of offspring, meaning these mutants would be less competitive, compared to their wild relatives. This could be seen as the needed safeguard to prevent a race of highly intelligent mollusks from taking our planetary domination crown.

So all in all, delaying sexual maturity seems to be the better way to go for your project.

Do keep us updated on the advancement.
by NitpickLawyer | 2025-11-19 11:06:08+00:00
> To resolve this, we propose a parallel multimodal diffusion framework, MMaDA-Parallel, that enables continuous, bidirectional interaction between text and images throughout the entire denoising trajectory.

> (ParaRL), a novel strategy that applies semantic rewards along the trajectory to enforce cross-modal consistency.

(emphasis mine)

This sounds really cool. The fact that one generation "attends" to the other is really interesting. I'm curious if this would hold for other modalities. I'm thinking coding specific applications, where things can change once something is generated. My hunch is that coding would benefit a lot from this approach, because the "manual" way of writing code often resembles diffusion more than autoregressive (that is, we often edit something here, then because we did that we have to import something, then change something there, then that leads to further changes, etc).

For now coding seems to benefit a lot from <thinking> -> <coding> -> <env_feedback> -> <reflexion> -> <thinking> -> <coding>, but this seems at a glance to be shoehorned in for autoregressive generation... GPT5 in particular seems to be better at this, with multiple "tool calls" interleaved in its thinking sessions. I wonder if this would get better with the paralel denoising thing proposed here, where both thinking and coding are done in paralel, and one can "attend" to the other. Add some feedback (linters, compilers, LSPs, tests, etc.) and this can go places. If it works.
by pavlov | 2025-11-19 11:06:13+00:00
Yes…?

Egress bandwidth costs money. Consumer cloud services bake it into a monthly price, and if you’re downloading too much, they throttle you. You can’t download unlimited terabytes from Google Drive. You’ll get a message that reads something like: “Quota exceeded, try again later.” — which also sucks if you happen to need your data from Drive.

AWS is not a consumer service so they make you think about the cost directly.
by meindnoch | 2025-11-19 11:06:17+00:00
No, loss prevention. :)

"Theft" is such a value-loaded, moralizing term. It collapses a wide spectrum of socioeconomic realities into a single criminalized label, ignoring the structural inequities that often shape people's choices. When we say "loss prevention", we're deliberately reframing the conversation away from individual blame and toward systems, environments, and institutional responsibility. Loss prevention isn't about vilifying people - it's about acknowledging that harm occurs within a broader context. It centers the idea that organizations can design safer, more equitable spaces that minimize material loss without resorting to punitive narratives rooted in classism, racism, and centuries-old assumptions about who is "dangerous". Calling something "theft" externalizes accountability onto the most vulnerable actors; calling it "loss" recognizes that institutions have agency, too. And preventing that loss focuses on proactive, compassionate strategies rather than reactive punishment.
by nl | 2025-11-19 11:06:22+00:00
The Asirra paper isn't from a ML research group. The statement: "Barring a major advance in machine vision, we expect computers will have no better than a 1/54,000 chance of solving it" is just a statement of fact - it wasn't any forms of prediction.

If you read the paper you note that they surveyed researchers about the current state of the art ("Based on a survey of machine vision literature and vision ex- perts at Microsoft Research, we believe classification accuracy of better than 60% will be difficult without a significant advance in the state of the art.") and noted what had been achieved as PASCAL 2006 ("The 2006 PASCAL Visual Object Classes Challenge [4] included a competition to identify photos as containing several classes of objects, two of which were Cat and Dog. Although cats and dogs were easily distinguishable from other classes (e.g., “bicycle”), they were frequently confused with each other.)

I was working in an adjacent field at the time. I think the general feeling was that advances in image recognition were certainly possible, but no one knew how to get above the 90% accuracy level reliably. This was in the day of hand coded (and patented!) feature extractors.

OTOH, stock market prediction via learning methods has a long history, and plenty of reasons to think that long term prediction is actually impossible. Unlike vision systems there isn't another thing that we can point to to say that "it must be possible" and in this case we are literally trying to predict the future.

Short term prediction works well in some cases in a statistical sense, but long term isn't something that new technology seems likely to solve.
by zekrioca | 2025-11-19 11:07:19+00:00
It is not the same thing, because back in 1986 the "hacker" concept was new, associated with criminality, and not with 'curiosity', information processing and thinking. It is not really the same as bikes and cars, which are around for quite some time and are made of tangible, mechanical stuff, whereas information are just abstract '0s' and '1s'.
by willis936 | 2025-11-19 11:07:21+00:00
This makes sense, but if the goal was to avoid business failure from disruption / losing customers, then why would the companies not be behaving in ways that maximize their customers? Intermediate value theorem applies here. There is no number of net negative customer base that can be spun in a good way. There is no path to recouping their lost customers. These fundamentals must be seen by the decision makers.
by Ciantic | 2025-11-19 11:08:17+00:00
> It may be that forcing handling at every call tends to makes code verbose

Rust has a lot of helpers to make it less verbose, even that error they demonstrate could've been written in some form `...code()?` with `?` helper that would have propagated the error forwards.

However I do acknowledge that writing Error types is boring sometimes so people don't bother to change their error types and just unwrap. But even my dinghy little apps for my personal use I do simple serach `unwrap` and make sure I have as few as possible.
by i386 | 2025-11-19 11:10:24+00:00
This is very revisionist. While they have been catching up quickly there was no master 4D chess strategy here. Google was incredibly late to this game - Sergey had to come back from retirement because most of the research team had a Sarah Connor complex and couldn’t ship. The saving grace is that AdWords picked up the tab again and founders shook the place up when it became clear the golden goose was being cooked.
by Dunedan | 2025-11-19 11:10:58+00:00
Depends on various factors and of course the amount of money in question. I've had AWS approve a refund for a rather large sum a few years ago, but that took quite a bit of back and forth with them.

Crucial for the approval was that we had cost alerts already enabled before it happened and were able to show that this didn't help at all, because they triggered way too late. We also had to explain in detail what measures we implemented to ensure that such a situation doesn't happen again.
by emqsocial | 2025-11-19 11:11:00+00:00
EMQ Social offers a tool that helps brands check and optimise their Meta Pixel . it scans for mis-configurations or missing data, gives you an Event Match Quality Score and a checklist to improve setup. EMQ Social

You get a free forever basic tier (monitor one Pixel) so you can try it without risk. EMQ Social

It addresses a real pain point for advertisers: if your Pixel isn’t optimised you might be losing conversions, paying higher CPMs/CPA, or wasting budget. EMQ Social

The workflow is simple: diagnose → optimise → protect, which reduces the complexity of ad-tech for non-experts. EMQ Social
by eigenspace | 2025-11-19 11:11:31+00:00
> why not just compile a static but generic version of the method with branches based on the tags of values? ("Can't figure out the types, wait until runtime and then just branch to the specialized method instances which I do know the types for")

This is exactly what the new AOT compiler (juliac) does. The original article is just a bit inaccurate.

The problem though, is that if you have a truly dynamic call-site where you have no idea which method body will be called, then the AOT compiler can't know if the right method specializations will survive the trimming process, so you'll get errors or warnings when compiling with the --trim feature active (--trim is what is used to make the AOT compiled binaries small).

However, there are still lots of cases where you can have a dynamic dispatch but can convince the compiler that there will be an already compiled method signature for every possible specialization. In that case --trimm will work fine and do exactly what you described above.
by rubymamis | 2025-11-19 11:11:45+00:00
I gave it the task to recreate StackView.qml to be feel more native on iOS and it failed - like all other models...

Prompt:

Instead of the current StackView, I want you to implement a new StackView that will have a similar api with the differences that:

1. It automatically handles swiping to the previous page/item. If not mirrored, it should detect swiping from the left edge, if mirrored it should detect from the right edge. It's important that swiping will be responsive - that is, that the previous item will be seen under the current item when swiping - the same way it's being handled on iOS applications. You should also add to the api the option for the swipe to be detected not just from the edge, but from anywhere on the item, with the same behavior. If swiping is released from x% of current item not in view anymore than we should animate and move to the previous item. If it's a small percentage we should animate the current page to get back to its place as nothing happened. 2. The current page transitions are horrible and look nothing like native iOS transitions. Please make the transitions feel the same.
by rescbr | 2025-11-19 11:11:47+00:00
From my experience vibe coding, you spend a lot of time preparing documentation and baseline context for the LLM.

On one of my projects, I downloaded a library’s source code locally, and asked Claude to write up a markdown file explaining documenting how to use it with examples, etc.

Like, taking your example for solitaire, I’d ask a LLM to write the rules into a markdown file and tell the coding one to refer to those rules.

I understand it to be a bit like mise en place for cooking.
by rafark | 2025-11-19 11:12:17+00:00
> just about everyone knows how to navigate in vscode by now.

I don’t know and honestly I hate the assumption of the software industry that everyone knows or uses vs code. I stuck to sublime for years until I made the switch to Jetbrains IDEs earlier this year.

I quickly looked up the market share and VS code seems to have about 70% which is a lot but the 30% that don’t use it is not that small of a number either.

Like I get it it’s very popular but it’s far from the only editor/IDE people use.
by 0manrho | 2025-11-19 11:12:38+00:00
That is the business model and one of the figurative moats: easy to onboard, hard/expensive (relative to on-boarding ) to divest.

Though important to note in this specific case was a misconfiguration that is easy to make/not understand in the data was not intended to leave AWS services (and thus should be free) but due to using the NAT gateway, data did leave the AWS nest and was charged at a higher data rate per GB than if just pulling everything straight out of S3/EC2 by about an order of magnitude (generally speaking YMMV depending on region, requests, total size, if it's an expedited archival retrieval etc etc)

So this is an atypical case, doesn't usually cost $1000 to pull 20TB out of AWS. Still this is an easy mistake to make.
by flohofwoe | 2025-11-19 11:14:01+00:00
> I can think of a few more: Git obsoleted an entire category of commercial software seemingly almost overnight

Hmm, what commercial software would that be? Visual SourceSafe (lol)? ;)

Git mostly replaced SVN, and that is free and open too. But in scenarios where specialized version control software (like Perforce) is needed, git (and git lfs) breaks down too, and quicker than SVN does - e.g. for versioning large binary files git has actually been a massive step backwards and without a real solution showing up in 2 decades.
by joeldrapper | 2025-11-19 11:16:13+00:00
My specific use case was building a form where each change to an input would fetch a new copy of the form from the server and morph it in place.

It means the server-side code can be really simple. You can make parts of the form depend on the values of other parts. For example you can show/hide a section based on a checkbox or fill a select with options based on a previous selection.

Because it was a form, it was really important to maintain object identity and state perfectly so the user would not be interrupted.
by chrischen | 2025-11-19 11:17:47+00:00
This is the sad reality of most if these AI products and it’s that they are just taking poor feature implementations on the hardware. It seems like if they just picked one or these features and doing it well will make the glasses useful.

Meta has a model just for isolating speech in noisy environments (the “live captioning feature”) and it seems that’s also the main feature of the Aircaps glasses. Translation is a relatively solved problem. The issue is isolating the conversation.

I’ve found meta is pretty good about not overdelivering on promised features, and as a result even though they probably have the best hardware and software stack of any glasses, the stuff you can do with the Rayban displays are extremely limited.
by plantain | 2025-11-19 11:17:53+00:00
Try a single threaded download from Hetzner Finland versus eu-north-1 to a remote (i.e. Australia) destination and you'll see premium bandwidth is very real. Google Cloud Storage significantly more so than AWS.

Sure you can just ram more connections through the lossy links from budget providers or use obscure protocols, but there's a real difference.

Whether it's fairly priced, I suspect not.
by darksideofthem | 2025-11-19 11:19:32+00:00
Speaking of resiliency, the entire Bot Management module doesn't seems to be a critical part of the system, so for example, what happens if that module goes down for an hour? the other parts of the system should work. So I would rank every module and it's role in the system, and would design it in a way that when a non-critical module fails, other parts still can function.
by keyringlight | 2025-11-19 11:20:11+00:00
What I've occasionally seen pointed out for a whole range of separate microsoft software is it's not the merits of on individual bit of software that gets enterprises to use it, it's the M365 package deal of all of them, and once you're in that ecosystem then you might as well use it. Teams is the common example where this comes up, where it's shortcomings are well known but the costs of licensing and setting up an alternative can't get over the threshold.
by einpoklum | 2025-11-19 11:21:34+00:00
I've never used any smart glasses, but I do wear prescription glasses ("dumb" glasses?); don't these smart glasses products all clash with the field of prescription lenses? I mean, either they each have to provide the entire possible range of correction profiles, for use instead of what people wear now, or they need to be attachable/overlays for regular prescription glasses - which is complicated and doesn't look like what the providers are doing ATM. Or - am I getting it wrong?
by natmaka | 2025-11-19 11:22:15+00:00
There is less and less real willing (<=> project starting on the field) to do so because finance likes predictability ( https://x.com/SustainableTall/status/1619246745074139138 ) and competitors are booming ( see, for example, https://ourworldindata.org/grapher/solar-pv-prices and https://ourworldindata.org/battery-price-decline
by fl7305 | 2025-11-19 11:22:41+00:00
> In particular, at the time that it was written, it meant arm themselves with military weapons for the purposes of military action. That's what the contemporary use of the term "bear arms" was understood to mean. Try to find any mention of self-defense from back then. It wasn't what they were thinking about.

That's what I meant too. I didn't bring up self-defense, did I?

The 2nd amendment protects the states' right to build up their own state militias by allowing their citizens to arm themselves with military weapons. It forbids the federal government from interfering with this.

> The modern interpretation of the second amendment is very different.

Yes. The federal "assault weapons ban" is completely incompatible with the 2nd amendment.

This was pushed through without a new amendment. Instead people used linguistic acrobatics to re-interpret the meaning of the 2nd amendment.

It would have been a lot easier today to shut down any attempts to re-interpret the 14th amendment if we hadn't started down this path with the 2nd.
by Havoc | 2025-11-19 11:22:53+00:00
These sort of things show up about once a day between the three big cloud subreddit. Often with larger amounts

And it’s always the same - clouds refuse to provide anything more than alerts (that are delayed) and your only option is prayer and begging for mercy.

Followed by people claiming with absolute certainty that it’s literally technically impossible to provide hard capped accounts to tinkerers despite there being accounts like that in existence already (some azure accounts are hardcapped by amount but ofc that’s not loudly advertised).