MurphyA/hacker-news huggingface dataset:
I built Createy AI A native macOS AI layer to finish browser context switching
by tanis46 | 2025-12-10 15:44:24+00:00
A few weeks ago, while working on a design project, I realized I had 10+ tabs open just to generate assets. I was constantly switching context: Alt-Tab to browser, wait for queue, download file, open Finder, drag to Figma. It was killing my flow. I thought, why is AI trapped in the browser? It should be a native utility layer over the OS, just like Spotlight or Raycast. So I spent the last weeks building Createy. It’s a native macOS app (Swift) that floats above your active window. You can generate images using models like FLUX 2 or Google Nano Pro and drag-and-drop them directly into Photoshop, Chrome, or Notion without ever touching a browser or a file system. It’s currently in public beta. I’d love to hear your feedback on the UX and the "native" feel. https://createy.ai
by RankingMember | 2025-12-10 15:44:28+00:00
Dubious or non-existent performance numbers, self-aggrandizing references to being in close contact with other, more famous/infamous CEOs/people, and the bluster of urgency as a smokescreen to hide the lack of anything concrete throughout- this Blake Scholl is following the Elon Musk playbook to a "T".
by Analemma_ | 2025-12-10 15:44:38+00:00
This is not true: Japan's rail systems are profitable on a cash-accounting basis (e.g. fares add up to more than day-to-day operating costs), but not if you include the immense cost of building the rail itself. When Japan privatized its rail, part of the privatization agreement included the government assuming most of the debts from construction, so the private entities wouldn't have them on their books. If you were to include these costs, Japan's private rails wouldn't even be close to profitable.
by RicardoRei | 2025-12-10 15:44:38+00:00
The results are not meaningless but they are not comparing humans against LLMs. The goal is to have something that can be used to test LLMs on a realistic mental health support.

The main points of our methodology are: 1) prove that is possible to simulate patients with an LLM. Which we did. 2) prove that an LLM as a Judge can effectively score conversations according to several dimensions that are similar to how clinicians are also evaluated. Which we also did and we show that the average correlation with human evaluators is medium-high.

Given 1) and 2) we can then benchmark LLMs and as you see, there is plenty of room for improvement. We did not claim anything regarding human performance... its likely that human performance also needs to improve :) thats another study
by pmarreck | 2025-12-10 15:44:52+00:00
> BTW, Erlang does not implement CSP fully.

Specific evidence?

> Its' interprocess communication is TCP based in general case

No, it is not. Only between machines is that true.

> and because of this is faulty.

LOL, no. Why are you rolling with "speaking a whole lot of BS based on ignorance" today?

On the other hand, I now understand that one impediment to Elixir adoption is apparently "people repeating a lot of bullshit misinformation about it"
by bunderbunder | 2025-12-10 15:44:52+00:00
Maybe I’m showing my roots in the symbolic AI era here, but for me it’s even simpler: the current tech hasn’t put us significantly closer to AGI because it’s still missing some key elements.

Hofstadter was on to something with his “strange loops” idea. He never really defined it well enough to operationalize, but I have a hard time faulting him for that because it’s not like anyone else has managed to articulate a less wooly theory. And it’s true that we’ve managed to incorporate plenty of loops into LLMs, but they are still pretty light on strangeness.

For example, something brains do that I suspect is essential to biological intelligence is self-optimization: they can implement processes using inefficient-but-flexible conscious control, and then store information about that process in fast but volatile chemical storage, and then later consolidate that learning and transfer it to physically encoded neural circuits, and even continue to optimize those physical circuits over time if they get signals to indicate that doing so would be worth the space and energy cost.

Comparing that kind of thing to how LLMs work, I come away with the impression that the technology is still pretty primitive and we’re just making up for it with brute force. Kind of the equivalent of getting to an output of 10,000 horsepower by using a team of 25,000 horses.
by zozbot234 | 2025-12-10 15:44:55+00:00
> The practice of encapsulation enables local reasoning about safety invariants.

> The additional scrutiny that unsafe{} blocks receive.

None of this supports an argument that "unsafe Rust is safer than C". It's just saying that with enough scrutiny on those unsafe blocks, the potential bugs will be found and addressed as part of development. That's a rather different claim.
by nicoburns | 2025-12-10 15:44:57+00:00
While it might be possible to get the performance required for a web rendering engine out of Java, I think you'd miserable writing Java in the style you'd need to get that kind of performance. And you'd likely still end up with issues around memory usage, app bundle size (remember that browsers ship to client devices), GC pauses, and integrating with the JavaScript engine.
by IAmBroom | 2025-12-10 15:45:25+00:00
Maybe. It's hard to say for sure.

Tesla for example: its stock price has fluctuated down 50%, then up 100% (relative to the dip), in this year alone. Clearly, that's market speculation, not capital + earnings. So how much of that speculation is AI-dependent? Depends on how much coffee investors drink before reading Musk's latest tweets, I guess.

Apple is HEAVILY invested in AI, but you're right: it's earnings are dependent more on iPads than AI right now.

> ...are you really deciding whether or not to buy based on their AI-ness?

Buy APL stock, or buy an iPhone?
by potato3732842 | 2025-12-10 15:45:46+00:00
>It's a free for all with very thin walls between social spaces, almost no human oversight, and run by the most despicable and immoral people on God's green earth. So I am inclined to agree with the people who say that kind of social media is a bad influence and should be curtailed.

It was the same in the past. The difference is that the house odds were different. You didn't have algorithms cramming the worst of the worst down your feed, forums, IRC, message boards and the like weren't built with the goal of maximizing engagement. Heck, even vote based communities which inevitably turn into low common denominator groupthink producing cesspits are mild compared to modern stuff.
by atrettel | 2025-12-10 15:45:55+00:00
I'm working on a command-line tool for advanced full-text search of written documents. It works in a completely different way than grep, so it can do a lot of operations that grep fundamentally cannot like fuzzy searching and proximity searching. I needed something like this for my scientific research, and I'm glad that I have this capability now. I hope others find it useful too!

I called it Wosp for word-oriented search and print. See the GitHub page for more information: https://github.com/atrettel/wosp
by sir | 2025-12-10 15:46:09+00:00
Re: the OAuth issues: to remove some of the hassle of this, you can use my proxy/relay to allow any IMAP (or POP/SMTP) client to be used with a “modern” email provider, regardless of whether the client supports OAuth 2.0 natively: https://github.com/simonrob/email-oauth2-proxy. No need for your client to know about OAuth at all.
by MengerSponge | 2025-12-10 15:46:16+00:00
From NIST:

One method for determining end of life for a disc is based on the number of errors on a disc before the error correction occurs. The chance of disc failure increases with the number of errors, but it is impossible to define the number of errors in a disc that will absolute- ly cause a performance problem (minor or catastrophic) because it depends on the number of errors left, after error correction, and their distribution within the data. When the number of errors (before error correction) on a disc increases to a certain level, the chance of disc failure, even if small, can be deemed unacceptable and thus signal the disc’s end of life.

Manufacturers tend to use this premise to estimate media lon- gevity. They test discs by using accelerated aging methodologies with controlled extreme temperature and humidity influences over a relatively short period of time. However, it is not always clear how a manufacturer interprets its measurements for determining a disc’s end of life. Among the manufacturers that have done testing, there is consensus that, under recommended storage conditions, CD-R, DVD-R, and DVD+R discs should have a life expectancy of 100 to 200 years or more; CD-RW, DVD-RW, DVD+RW, and DVD-RAM discs should have a life expectancy of 25 years or more. Little infor- mation is available for CD-ROM and DVD-ROM discs (including audio and video), resulting in an increased level of uncertainty for their life expectancy. Expectations vary from 20 to 100 years for these discs.

https://nvlpubs.nist.gov/nistpubs/legacy/sp/NISTspecialpubli...
by giraffe_lady | 2025-12-10 15:46:26+00:00
All of the arguments I've seen supporting this attack focus on the idea that it's fine to kill and maim civilians including children as long as you will probably get some combatants. It's a little bit open to interpretation, I guess, and I'm not a legal expert so fine, ok.

But booby trapping mundane daily objects accessible to non-combatants is a clear violation of international law. No real room for leeway or interpretation on that one either.
by NebulaFrost923 | 2025-12-10 15:46:30+00:00
I built Flowsint in my spare time to provide a modern, durable OSINT platform for investigations: a visual graph to explore all information, automatic data standardization, flexible source management, and connections that reveal relationships hard to spot otherwise. In cybersecurity, OSINT or CTI, analysts juggle countless tools to collect, cross-check, and understand information. Tools come and go, methods evolve… but one need remains: to centralize and clearly visualize data.

Flowsint is open-source, built on existing tools and scripts, and licensed for anyone to use and contribute. It organizes and links your data, helping analysts see the bigger picture even as tools and practices change.

Go check it out: https://www.flowsint.io

Packed with a bunch of planned features, stay tuned! I created Flowsint out of my passion for building tools and love for cybersecurity.

I'm curious to have your feedback!
by chmod775 | 2025-12-10 15:46:36+00:00
We've barely found 1-2 ways to make useful AI and there's already professors who've incorporated those into their view of the field to such a degree that they cannot even imagine we might discover another way down the line.

You usually see this lack of imagination in the crusty old sciences, not in something as fast moving as this field. Props to the guy for being ahead off the curve though.

I'm the first to shit on anyone who thinks current LLMs will take us to AGI, but I'm far from insane enough to claim this is the end of the road.
by embedding-shape | 2025-12-10 15:46:41+00:00
> Otherwise comparison would not be super fair.

Wouldn't that be easy to make fair by making sure all models tried it with the same prompts? So you have model X and Y, and prompts A and B, and X runs once with A, once with B, and same for Y.

Reason I ask, is because in my own local benchmarks I do for each model release with my own tasks, I've noticed a huge variance in quality of responses based on the prompts themselves. Slight variation of wording seems to have a big effect on the final responses, and those variations seems to again have a big variance of effect depending on the model.

Sometimes a huge system prompt makes a model return much higher quality responses while another model gives much higher quality responses when the system prompt is as small as it possible can. At least this is what I'm seeing with the local models I'm putting under test with my private benchmarks.
by Fire-Dragon-DoL | 2025-12-10 15:46:42+00:00
I bought the older version for very cheap and have been really enjoying it.

My daughter loves it: she reads on it and does homeworks on it.

It's the "tablet" that kids could he allowed to use: slow refresh rate (no videogames), can only read books and write.

And that's what she does! She reads books and writes on it, along with sketching or drawing mazes.
by myth_drannon | 2025-12-10 15:46:42+00:00
One of the most sucessful integelligence operations ever, absolutely brilliant. And the brilliance in my opinion is that the targeting was not your regular Hizbollah terrorists but only higher ranking members the one who were given the beepers. So basically cutting the head of the snake.

I doubt Palantir had any involvement, just trying to get some credit. The operation to attack the supply chain was started long before Palantir had grown and could offer something.
by deaddodo | 2025-12-10 15:47:14+00:00
The game was built for the Saturn and ported to PS1 (versus being built independently for it). During that process, graphical fidelity and effects were lost and audio transcoded in a lossy manner. Sprites were lower quality, the water effects were worse, textures were downgraded, shadows were lost, etc.

This is a pretty bad demonstration since they took literally zero effort in syncing the two side-by-side til the end, but gives you an idea:

https://www.youtube.com/watch?v=UL6Z9xvt7h0

That being said, it's not so much worse that PS1 is unplayable. It's just that if you had the choice between the two, the Saturn version is slightly more pleasant to look at and listen to.
by refulgentis | 2025-12-10 15:47:16+00:00
So you’re not familiar with Wired (!?), and think this is an ad, along with a side of review-in-scare quotes? “you might as well upgrade to a reMarkable tablet.... a pretty big investment for a still-limited device.... neither of them would be my go-to pick”

And you’ve been on HN 15 years, just like me?

Something tells me you’re cranky this morning and trolling a bit
by eevmanu | 2025-12-10 15:47:40+00:00
I find the premise reasonable, though I do have an observation.

The current AI hype may have placed us in a filter bubble or echo chamber, shaping our conclusions. These highly specialized algorithms can nudge or reward us for thinking in specific ways.

Regarding programming languages, there is immense value in understanding internal primitives.

As example, consider concurrency primitives. Different languages provide different levels of abstraction: high-level library support in Python, the event loop structure in JavaScript, compiler-level implementations in Rust and C++, runtime-intrinsic mechanisms in Go and Java, and virtual machine intrinsics, such as Erlang.

By viewing languages through this lens, you recognize that each implements these primitives differently, allowing you to choose the most effective tool for the job.

If your goal is to assess the short-term economic value of a technology, your logic is understandable. However, learning new languages and tools remains worthwhile. When AI agents begin invoking these tools on the fly, you may not know if a specific choice is the most effective one. Without this knowledge, you will have some gaps to challenge the AI's decision.

In the long run, making the effort to master these concepts yields far greater value as a software engineer. It enables you to understand the rationale behind applying a precise tool to a precise task.

There are valid arguments supporting various perspectives on this. However, while any approach can be useful, this discussion highlights the need for wisdom: the awareness of one's own biases. As I noted earlier, filter bubbles can distort judgment. Continuously questioning your conclusions helps ensure you move toward the best outcomes. I hope you find this recommendation useful.
by ndiddy | 2025-12-10 15:47:45+00:00
Itanium was mainly dropped because it was impeding work in the EFI subsystem. EFI was originally developed for Itanium before being ported to other platforms, so the EFI maintainers had to build and test their changes to shared code on Itanium. They eventually decided that this wasn't worth the effort when there was basically nobody running modern Linux on Itanium besides a few hobbyists. I imagine that alpha and hppa will get dropped in the future if they ever also create an undue maintenance burden. There's more context here if you're interested: https://lwn.net/Articles/950466/
by tmtvl | 2025-12-10 15:47:46+00:00
I use isync (mbsync), mu, and Emacs for my e-mail needs and it work fine. Both isync and mu4e needed a bit of configuration (and Emacs itself needed one change to stop automatically breaking lines), but it's been working well for years now. I previously used Thunderbird but its editor was garbage, so then I tried a few things (neomutt and I believe something called alpine or something like that) before settling on Emacs. I tried Notmuch, but it didn't work so well with the upstream mailboxes.
by crazygringo | 2025-12-10 15:48:30+00:00
Got it, thank you.

So the results are meaningful in terms of establishing that LLM therapeutic performance can be evaluated.

But not meaningful in terms of comparing LLMs with human clinicians.

So in that case, how can you justify the title you used for submission, "New benchmark shows top LLMs struggle in real mental health care"?

How are they struggling? Struggling relative to what? For all your work shows, couldn't they be outperforming the average human? Or even if they're below that, couldn't they still have a large net positive effect with few negative outcomes?

I don't understand where the negative framing of your title is coming from.
by btbuildem | 2025-12-10 15:48:44+00:00
> the bigger bottleneck to productivity is that very few people can correctly articulate requirements.

One could argue that "vibe coding" forces you (eventually) to think in terms of requirements. There's a range of approaches, from "nitpick over every line written by AI" to "yolo this entire thing", but one thing they have in common is they all accelerate failure if the specs are not there. You very quickly find out you don't know where you're going.

I see this in my work as well, the biggest bottleneck is squeezing coherent, well-defined requirements out of PMs. It's easy to get a vision board, endless stacks of slides about priorities and direction, even great big nests of AWS / Azure thingnames masquerading as architecture diagrams. But actual "this is the functionality we want to implement and here are the key characteristics of it" detail? Absolutely scarce.
by gus_massa | 2025-12-10 15:48:58+00:00
On published article does not mean it's proved and everyone must follow watever it says. The Wikipedia article https://en.wikipedia.org/wiki/Vitamin_D says

> However, the evidence for the health benefits of vitamin D supplementation in individuals who are already vitamin D sufficient is unproven.

andvitamin D is liposoluble so overdose is a risk. So I strongly recomend to ask a real medical doctor.
by ceejayoz | 2025-12-10 15:49:03+00:00
Alternatively: Because fossil fuel companies have a long, long history of astroturfing public opinion to benefit their business.

Same trick with solar farms: https://www.npr.org/2023/02/18/1154867064/solar-power-misinf...

And wind: https://www.americanprogress.org/article/the-oil-and-gas-ind...
by jeffbee | 2025-12-10 15:49:10+00:00
To head off the almost inevitable recapitulation of yesterday's parade of misinformed complaints by teenage libertarians, please actually read the paper before commenting. The paper shows there was no significant reduction in entries to the congestion charge zone by cars, vans, and light trucks. And you can confirm this conclusion is consistent with their source data using their github repo. The reduction in pollution is coming from the significant decline in heavy truck traffic. Truckers were using lower manhattan as a cut-through route to other places and they are now doing that less, exactly as congestion pricing planners long argued.
by Fire-Dragon-DoL | 2025-12-10 15:49:15+00:00
I think they are missing something important in the review, what they are saying it's incorrect.

You CAN write directly, but only to PDFs.

Epub and kindle get the notes slapped in a box of some kind.

The other thing they miss is that most ereaders don't have access to kindle's huge book catalog. A few full-on android devices do, but given the very outdated version of android they have, they night get cut out (as is happening for some) from the Kindle app, so no more books.
by IAmBroom | 2025-12-10 15:49:20+00:00
This is real.

I have a buddy who has been an entrepeneur all his life. He renamed his first company to Name-Dot-Com just before the Dot-Com Crash; a short jump in investment followed by a period where he couldn't get his calls returned, and he was forced to sell.

So my point is: "angel investors" in startups seem to be a really "ADHD", shiny-distraction-oriented bunch. And that has a huge impact for smaller companies.
by jqpabc123 | 2025-12-10 15:50:04+00:00
What logic and physics are being defied

The logic and physics that make a computer what it is --- a binary logic playback device.

By design, this is all it is capable of doing.

Assuming a finite, inanimate computer can produce AGI is to assume that "intelligence" is nothing more than a binary logic algorithm. Currently, there is no logical basis for this assumption --- simply because we have yet to produce a logical definition of "intelligence".

Of all people, programmers should understand that you can't program something that is not defined.
by embedding-shape | 2025-12-10 15:50:11+00:00
"Sharing my data" isn't something that cross the average person's mind unless there is a checkbox they annoyingly have to check in order to check in to some European hotel which is asking you for permission to process their data, for better or worse.

In their mind, most of the times, if there is no one standing behind them when they chat with a LLM, then the conversation for most intents and purposes is private.

Obviously, us who are born with a keyboard in front of our hands, know this to not be true, and know we're being tracked constantly with our data being sold to the highest bidder. But the typical person have more or less zero concerns about this, which is why it's not a priority issue to be solved.
by jbgt | 2025-12-10 15:50:15+00:00
Have you seen the feeling great app? It's not an official therapy app but it's based in TEAM CBT, made by David Burns and team.

Burns is really into data gathering and his app is LLM based on the rails of the TEAM process and it seems to be very well received.

I found it simple and very well done - and quite effective.

A top level comment says that therapists aren't good either - Burns would argue that mainly no one tests before and after and so no measuring effect is done.

And of people I know who see a therapist, practically none can tell me what exactly they are doing or what methods they are doing or how anything is structured.