skysight-inc/HackerNews huggingface dataset:
Luu could achieve his goals while still adding basic things like padding, margins and better structuring of his paragraphs.

Absolutism on either side of this debate is purely ideological and does little to serve the user the best possible experience.
I spend way too much of my working life with package version ranges. It took me a minute to understand why this was wrong.
I've once was looking for top-performance windows laptop. Bought a nice Asus ROG M16 for $2500. Expensive? Sure!

But they did cost-cutting, put a crappy wifi card from Media-Tech, which resulted in a daily BSOD. Bought Intel card for $25 instead to fix this issue.

And that's about everything. Take a $50k car and you'll find same cost cutting measures!
I wish other distros documented ways to make it easy to customize the initramfs like this. I'd love to build a setup like this, but I don't want to use Alpine as I don't like musl for compatibility reasons or RC scripts for managing services.

There are other options, but they have considerable barriers to entry as well, like NixOS which requires learning their specific DSL. I like the idea of `bootc` but that doesn't support running from RAM best I can tell. Other distros really only document customizations to the initramfs as a means to provide an installer for a stateful system, which makes running a server like this a bit of uncharted territory.
Building an AI Agent for Fraud Analysis – Advice and Insights Needed
Hi everyone, I currently work as a fraud analyst at a large financial institution. After noticing that many of my daily tasks could be automated, I’ve developed a strong interest in AI and AI agents. My goal is to build an AI agent that can perform fraud analysis tasks and significantly enhance the efficiency of the process.

I’m looking for advice, insights, or resources on creating an AI agent capable of:

Real-time fraud detection: Identifying suspicious activities as they happen.
Complex pattern recognition: Uncovering sophisticated fraud schemes.
Continuous learning and adaptation: Keeping up with evolving fraud tactics.
Automated investigation and reporting: Streamlining the investigative process.
If you’ve worked on similar projects, have expertise in fraud detection AI, or can point me toward useful tools, frameworks, or resources, I’d greatly appreciate your input. I’m eager to learn and bring this idea to life!
Ralph Nader is a saint and democrats need to ask why 200K democrats stayed home in Florida in 2000, not why Nader got 3%…
Why Fukushima made me stop worrying and love nuclear power (2011)
A pundit is "a person who gives opinions in an authoritative manner usually through the mass media". He clearly fits this definition. He does plenty of other stuff too, but "pundit" is a completely valid label to use.
I use Claude/ChatGPT a lot. I turned Apple Intelligence off. It was summarizing incoming text messages instead of showing me what people said at a quick glance.

Also, I don't really e-mail off my phone. If I'm going to write an e-mail, I would want to just write it and be done with it. To write it, have AI mangle it, then need to re-work it sounds like more work.

It'd be cool if you could tell me "show me all of my photos with ____" (I know that exists today, speaking of more advanced) but that's about all I can think of
He wrote a lot but this, I think, is the most beautiful. He was one of God's own prototypes, to be sure.
The new features in 18.2 GA release are a total shit-show. I've never seen Apple software this rushed out the door before, probably to beat the end-of-year shutdown.

Image Playground is full of so many bugs and weird UX patterns.

- The app is called "Playgrounds". Weird, especially considering Apple already has an app called "Playgrounds" (full name: Swift Playgrounds). Fine, weird, and especially weird if you put yourself in the shoes of someone who has no idea what AI is or what Apple is building.

- When you launch it, it has to download models, a process which took over an hour on my internet connection, but it gives you no indication the models are downloading except one informational popup when you first launch the app; nor the download's progress.

- Instead, I was placed into the full app experience, where I was allowed to try to generate images. The generations would fail with an error.

- However, the error is totally unreadable because its presented as a toast at the top of the screen, rendering underneath the dynamic island. All I could see was the first few and last few characters.

- I've heard confusion from two friends (techy-bubble of course) on "why can I only generate variations on these four friends" Its because the list of people you can generate images of seems to come from the list of facial recognition targets in Apple Photos. Yup. None of my friends who have tried this pay for Apple Photos, so their photos aren't being backed up, their list of generation targets are only those in recently taken images.

- You can upload arbitrary images to the model. But its... well, it doesn't do anything predictable. A picture of a bookshelf imagegens a piano. A picture of a person complains with an error clipping the dynamic island "choose a photo with the face more in view". A picture of a black SUV imagegens a yellow jeep. The immediate sense I got is that they're feeding the uploaded image into a "describe this image" LLM, summarizing it, then feeding that back into the imagegen model.

- There is one additional option in this menu, labeled "Appearance". I dare you to click that, put yourself in the shoes of someone who doesn't browse HackerNews every day, and try to understand why that's there and what it does. I think its presenting a way to generate a generic AI generated human, without a source real image? You get the choice of skin tone, and then some kind of ever-changing collage of Vibes of the person you want generated? I can't even explain what's going on because even I'm confused, its incomprehensible.

- The share sheet breaks like 20% of the time. On one occasion this break crashed the app with a popup that displayed a stack trace.

- We were told we'd be able to generate images in three unique styles: Sketch, Animation, and Illustration. Only two of these are available (Sketch is absent) [1].

Its really bad, even when it works the images it generates are pretty trash.

[1] https://youtu.be/RXeOiIDNNek?t=4180
There's a JuliaLand to the west of the island where julialang/julia is.

The fact that julialang/julia ended up near tensorflow and opencv, and actual Julia packages ended up elsewhere, probably reflects a difference between aspirational users and real users: a lot of people who starred the Julia project itself were numeric Python users who were looking for a new Python, but then mostly stuck to Python itself, so their other stars are in the numeric Python land. Those who starred the JuliaLand packages are the actual Julia users who aptly enough ended up near Moleculandia and AstroSpace and Quantumia.
Would you mind giving us the titles of those books?
Could you post a higher quality photo of the heat exchanger? Is it 3d printed plastic?

How did you get the fans to run backwards? They look like standard PC fans
Thanks for sharing that article.

> the distinctions largely owe to stiff regulations in China centered on youth social media use and political dissent.

> The differences between the two apps highlight a comparatively permissive legal environment for social media in the U.S., protecting free expression but also leaving some users -- especially young ones -- vulnerable to addictive behavior, the experts said.

> That same year, Douyin imposed a 40-minute daily limit for users under 14. Last year, Chinese regulators introduced a rule that would limit children under age 18 to two hours of smartphone screen time each day.
Using Guile for Emacs
That was a whole lotta words to say "Nuh uh." and as such I don't really have a response.
Xe re-created xyr own formal full design document for the product, showing the precise PCB shapes and the positions of the components, holes, and ports. Xe boasted about doing so, and published the document, leafing through it page by page and pointing out in a couple of places where the diagrams matched the physical product, in a YouTube video.

To understand this, one has to not miss (as so many unfortunately have) where Louis Rossman read out a part of an e-mail to MendItMark where it was stated by Tom Evans Audio Design that these are registered designs.

There is a third right in U.K. intellectual property law, a third right that the Copyright, Designs, and Patent Act 1988 grants in addition to copyrights and patents. It's there in the Act title: design right.

Design right grants exclusive right to its owner to make "a design document recording the design" and subsists in "the shape or configuration (whether internal or external) of the whole or part of an article".

* https://www.legislation.gov.uk/ukpga/1988/48/part/III

Copyright and patent are beside the point. Tom Evans went after MendItMark on design right grounds, which is not really that surprising given that it is Tom Evans Audio Design and the WWW blurb at https://www.audiodesign.co.uk/ explains that Tom Evans does design work.

There are hundreds of registered printed circuit board designs, and audio amplifier designs, that one can find on DesignView (the EUIPO search tool), to compare and thus see exactly how MendItMark's ring-bound 12 page document records the design of the product; and that is just registered designs. (Although Tom Evans claimed that these are registered, xe would still have design right even if they were not, as xe gains the right from having manufactured products to xyr design.)

The sad thing is that MendItMark would have been able to lambast the poor design with total impunity if xe hadn't done what §226 of the CDPA names primary infringement of design right . As it stands, Tom Evans seems to have a very strong leg to stand on, from the black and white of the statute.

Whilst MendItMark doesn't even have the possibility of claiming that xe did this for educational reasons, as xe not only monetized the video (which makes it a publication for commercial purposes) xe stated in the video right after showing the document that this stuff was part of xyr £400 a pop (currently discounted to £250 as I type this) training course.

Also note that YouTube's terms and conditions don't say merely not to infringe copyright. They say not to infringe other people's intellectual property rights, and design right is such a property right in the U.K., where both Tom Evans (1 bloke in Wales) and MendItMark (1 bloke in England) are located.
Writers could try to split up their work to better appeal to an audience that does quick scans, then reads where it matters.

That was one of the original visions behind hypertext - that it would not only link documents together, but provide a way to summarize the content at varying levels of detail, allowing up-down traversal rather than just lateral links. MIP mapping for text, basically.

We're starting to see a bit of a revival of that idea, where language models generate summaries at the paragraph level that readers can either browse quickly or use as a jumping-off point into the underlying original content. This page seems like a good application for that.
I fear that in the goal of going from "manual coding" to "fully automated coding", we might end up in the middle, where we are "semi manual coding" assisted by AI, which would need different software engineer skill.
So what's the 3rd category since the numbers do not add to 100?
Usually of you sort by the price 10 products it is a safe bet to get third cheapest. Good enough.
> The main benefit of LLMs was already abundantly clear

In my industry the main benefit (so far) is taking all of our human-legible unstructured data and translating it into computer-legible structured data. Loving it.
That's very kind, but I have all the (SR)MHRV units that I can reasonably fit!

FWIW the email address on your site page is bouncing for me.

Please do add my email (in my profile here) to a low-volume mailing/updates list if you have one.

And if my limited experience of bringing an open hardware project to market might be of help, let me know!
ChatGPT knows about other domains (e.g. software versions) where that inequality is true. Try telling it you’re doing arithmetic.
RE: stars and DL counts, I'd say the best measure is checking the creator's other repos, their number of followers and the issue churn rate. Stars can be useful but only as a very rough process of elimination.

If the project appears to have several active contributors that would be good too.
This is a cute little story with some technical merit - the brief description of the three bugs is kind of interesting.
AIs Will Increasingly Attempt Shenanigans
This seems largely like the new Apple, a company playing defensive/reactionary to shareholder impression, has to chase whatever the latest public craze is. During the Jobs era, it was whatever Steve thought was cool. Which was sometimes wrong as well, but it was less derivative than this new norm.
This has been my experience. Lots of companies are implementing LLMs but are not advertising it. There's virtually no upside to being public about it.
What's your plan to transition into product/management?
Now you’re agreeing with the main idea but you wish the default was more to your preference. Read his own words about this here: https://news.ycombinator.com/item?id=39731878

I don’t understand though. Times new Roman and clones of it are very readable fonts. It just doesn’t look like short form marketing material.
Ultra-Wideband Positioning System for Cow Tracking in a Free-Stall Barn
The number of meetings I attend where no notes are taken dwarfs the number with notes taken. Clearly, I must live in a different universe from the rest of everyone here where notes are taken at every meeting
After becoming sick of Upwork and the likes, a bunch of us started the Dutch Freelance Collective - dutchfreelance.org - to find local, freelance projects.

This has worked out well till now. I recommend finding local gigs, wherever you may be.
Fabulous. A big round of applause for Andy Kowinski and the SWE-bench folks!
I've read about 50% and really like it so far.

Also, limiting width and centering text from JS console greatly improved the readability:

$('main').style.width = '600px';
$('main').style.margin = '0 auto';
Sometimes people want to express things (frustration at deadlines or upper management or skepticism of projects or announcements for example) and not have it carved in stone. I purposefully allow some time at the end of presentations or large team meetings for a more informal non-recorded Q&A for that reason.
Do all the high quality folks just leave the JS community beyond a certain threshold?
> We have better alternatives these days.

What do you recommend in the same conceptual space?
But...I'm not doing the same thing. In actuality I'm saying I'm a fairly typical programmer in a common situation: I work across a variety of languages and platforms and toolings and projects, building solutions for problems. The truth is that extraordinarily few programmers are working on anything truly novel. Zero of the readers of this comment are, in all likelihood. The ridiculous notion that someone has so unique of a need that it hasn't been seen is kind of hilarious nonsense. It's the "I'm so random! Other girls aren't like me" bit.

>Instead of calling people names

Who called anyone a name? Luddism? Yes, many HN participants are reacting to AI in a completely common rejection of change / challenge, and it recurs constantly.

>how using an LLM is faster than if you coded it yourself

I am coding it myself. Similar to the other guy who talks about putting an LLM in "charge" of his precious, super-novel code, you're setting up a strawman where using an LLM implies some particular scenario that you envision. In reality I spend my day asking questions, getting broad strokes, getting code commented, asking for API or resources, etc.
Even if the fruits of your labor don't end up murdering millions, there is the hazard of mere success. Taste true accomplishment and you will likely spend the rest of your life trying to repeat it. Trapped like a bug.
Why do you suspect it is not ethical?

>What features could make it more ethical?

You should think the other way around, start with an ethical base, and only add features that keep it ethical.
How accurate are the summaries?
I don’t know what it does except Siri seems to be able to answer complex questions on the level that Google assistant could at least ten years ago. Can anyone tell me what I’m supposed to be doing with this?
Yes, that's what it seems to me also, that often a RAG or similar is branded as an "agent". Though I personally understand an LLM agent as something that takes input x to use in LLM inference and then uses the output from that inference to create a new input for another LLM inference that includes the first output and so on, and repeats this >1 times.
My point is that the user is adding another layer of abstraction, and that layer of abstraction needs itself to be trusted. When UI elements are really concrete and you can clearly see that you pressed a particular button and the thing you wanted happened, then the UI layer, at least, is a nonissue.

But in retrospect I don't know if my point was that good. The UI problem hasn't actually been solved, and an LLM-based chatbot may actually be more reliable for non-tech users since the user has to do less translation.
The federal government issues a variety of official identification such as passports and Global Entry cards. Citizens are free to use those if they like and they are accepted everywhere that matters. The federal government also has the Real ID program to ensure that state issued identification (such as driver's licenses) meets certain standards if people want to use those IDs for purposes beyond just driving.

The notion that a single federal ID card should be mandatory for everyone or that the federal government should handle driver's licenses is just stupid and reflects a total misunderstanding of how the USA is structured. We have a dual sovereignty system for good reasons and hopefully that will never change.
OpenSSL shouldn't be trying to develop a quic stack but expose the API all other projects can use.
I am looking at buying one of these and have had a look at similar (but not open-source) products available on Alibaba, e.g. https://www.alibaba.com/product-detail/Fresh-Air-Ventilation...

Prices there start at $150 + shipping.

Has anyone tested these?
Despite HTMX being backend-agnostic, I heard it pairs extremely well with Django, so that's probably why! Maybe the two are particularly well fitting pieces of the web dev puzzle.
Brew runs on linux too..
> What standard extensions exactly were ratified to early?

This is part of why RISC-V has a problem: your question, as with the others, is wrong.

Why do we assume the whole core philosophy is actually correct? Why do we think that we can solve mistakes or omissions with extensions?

The underlying reality is you can’t. As the debates over some extensions are showing not all ISAs are equal (a myth promoted by Intel at length) and once you accept that a lot of the rest falls apart.

This is especially true if there is a core insight which your main competition are not telling you regarding the rest.

SiFive does not need to push things through, they damage things by promoting inertia. They are so effective at it it would be tempting to say it is a conspiracy.
Timers are on the clock app, or just ask Siri "set a timer for X minutes".
I don’t think you will learn to deploy anything serverless in less time than you could deploy a server.

And you will learn more general devops skills instead of one particular provider’s serverless API.
If you intend to explore OpenModelica you may also like ModelingToolkit.jl:

https://docs.sciml.ai/ModelingToolkit/dev/

There is also a project by Hilding Elmqvist, who worked for Dassault on Dymola (the leading commercial implementation of Modelica). His project is Modia.jl:

https://github.com/ModiaSim/Modia.jl

I can personally feel the Julia community settling on MTK, but Modia was ahead in the early stages of dynamic system simulation in Julia, and I believe MTK has drawn a lot of inspiration from each Modia and Modelica. Modia is a bit more ergonomic while also being the first to integrating things like 3D viewers and a complete multibody package by years, with Julia Computing only now catching up [1]. MTK has a better support for back-end solvers and holds a lot of promise to leapfrog Modia, especially since the release cadence for Modia seems to have slowed.

[1] https://github.com/JuliaComputing/Multibody.jl
I imagine they are not from an anglophone country and see 9.11 as 9*11
This guy Sagan's...
Not exactly. HTTP now has multiple substrates some with different features and documents describe the mapping of HTTP onto each substrate.
For a lot of fields the answer is much simpler. The buyer is simply not equipped to evaluate it at all.

eg I bet north of 50% of people judge their tax accountants by the size of refund not technical and legal accuracy. But they’re still liable so accuracy is an important measure of „good“

Same with say dentist. If he says he needs to do procedure x what am I going to do except ask some layman questions. Or doctor. Even trades often seem simple but have significant accumulated practical learnings that are not obvious to laymen.

It’s tempting to boil everything down to an optimization question & just finding the right metrics, especially for those STEM minded but often that’s not how reality works
>To clarify some of the discussion, it is not a counterflow heat exchanger, it is a regenerative type.

Can someone expand of this?

intuition tells me that a regenerative design can be no better than 50% efficient, and would be worse at recovering latent heat
Unmaking the Makefiles: exorcising the Rust compiler test suite one file at a ti
Agreed, I strongly dislike this trend of "new feature tours" on application startup. When I launch an application it's because I have a task I need to complete, and these dumb popups just step in the way and slow me down.
It's interesting that there is this division between programmers who claim LLMs are super helpful, and those saying they are useless.

While it's certainly possible that this divide is based on how 'hard' the problems people are using them on, my current theory is that some people use them like the proverbial rubber duck - in other words, a way to explore the code, and generate some stuff to work on, while thinking through the problem.

Personally, I have not yet tried it, so I'm curious which side of the discussion I'll fall ...
The shorter and also "not breaching confidentiality" answer I can give is we're dealing with setting up custom sockets over incredibly long range wireless connections that require clear and verified transmission of packets of data, rolling both our own messaging protocol and security features as we go.

When last I tried anyway, Copilot was, frankly, useless.
i think you are confusing the Prince Andrew Pizza Express scandal with something entirely tangential.
Check out Google Cloud. They have a much better developer experience than AWS.

Cloud Run is pretty easy to setup.
Start with the customer and work backward.
Focus on controllable input metrics like size availability....
How much of the detection is detecting the affect a large object moving (or holding a stationary position in a current) has on water (displacing it, wake etc) vs the object itself?

This is like spotting soldiers wearing camouflage by following their muddy footprints?
> I don't know if I'm over-reading things, but there generally appears to be a closing of the mind, and a sort of narcissism where everyone is all about themselves, and barely curious about anything outside their immediate surroundings.

Ironically, this probably applies best to new yorkers and the new york papers themselves.