MurphyA/hacker-news huggingface dataset:
by sangeeth96 | 2025-04-30 09:42:47+00:00
I disagree mainly because there is a big lack of transparency from the govt/courts on these matters even when pressed with RTIs unless you have sources that say very explicitly otherwise from the mouths of govt/FB.

As for the second part, they sort of are still able to censor/remove posts a lot more easily so this is far from the “fantasy” you’re talking about: https://www.business-standard.com/companies/news/x-takes-ind...
by mattkevan | 2025-04-30 09:43:18+00:00
I did something similar a while back to the @fesshole Twitter/Bluesky account. Downloaded the entire archive and fine-tuned a model on it to create more unhinged confessions.

Was feeling pretty pleased with myself until I realised that all I’d done was teach an innocent machine about wanking and divorce. Felt like that bit in a sci-fi movie where the alien/super-intelligent AI speed-watches humanity’s history and decides we’re not worth saving after all.
by xorcist | 2025-04-30 09:43:46+00:00
It wasn't always that clear who the members were. Demos and cracks across several machine types were handled by separate people who didn't always know each other.

Especially Fairlight was a pretty loose group which many people were sort of affiliated with, and sometimes would release stuff under that name, and nobody really knew if they were officially members or not. There was a bit of drama as everyone didn't always get along.
by graemep | 2025-04-30 09:44:29+00:00
He has not been disappeared - you have a very first world problem take on disappeared which amounts to "his lawyers briefly did not know where he was held". He has a bail hearing today: https://www.theguardian.com/us-news/2025/apr/23/mohsen-mahda...

Where I came from "disappeared" means being bundled into a van and turning up dead or not at all.
by aapanel | 2025-04-30 09:44:47+00:00
Billionmail's email marketing feature has been officially launched, along with the following supplementary features:

https://github.com/aaPanel/Billion-Mail

Email Data Analysis: Analyzing the open rate, click-through rate, and failure rate of your sent emails.

User Management: Managing your customers through grouped categorization.

Subscription Management: Managing users' subscription statuses to prevent disturbances to those who do not wish to receive such emails.

Email Templates: Allowing you to design professional marketing email templates online.
by mariusor | 2025-04-30 09:45:33+00:00
> We only notice this in some really high profile cases (Musk, Notch, a few politicians...)

I attribute this to the amplification effect of social media has on the output from these famous people.

But at the same time I blame their slide into madness on social media because for both Notch and Musk (and I would also add JK Rowling to this list) it all started with disproportionate amount of genuine hate from well meaning individuals for stating opinions slightly outside the Overton window. I think the "twitter mob" is frankly more to blame than the people themselves, because without it, all three of them would still censor their public outbursts more than they do now after the dams of hate against them have already broken and there's no lower depths they can sink to.

That's why I think it's important to be polite even to the assholes.
by icoder | 2025-04-30 09:46:43+00:00
I'm more and more convinced of an old idea that seems to become more relevant over time: to somehow form a network of trust between humans so that I know that your account is trusted by a person (you) that is trusted by a person (I don't know) [...] that is trusted by a person (that I do know) that is trusted by me.

Lots of issues there to solve, privacy being one (the links don't have to be known to the users, but in a naive approach they are there on the server).

Paths of distrust could be added as negative weight, so I can distrust people directly or indirectly (based on the accounts that they trust) and that lowers the trust value of the chain(s) that link me to them.

Because it's a network, it can adjust itself to people trying to game the system, but it remains a question to how robust it will be.
by hexaga | 2025-04-30 09:46:57+00:00
Were those trained using RLHF? IIRC the earliest models were just using SFT for instruction following.

Like the GP said, I think this is fundamentally a problem of training on human preference feedback. You end up with a model that produces things that cater to human preferences, which (necessarily?) includes the degenerate case of sycophancy.
by AndroidMTK | 2025-04-30 09:47:20+00:00
instalar WhatsApp pero tu móvil no tiene Google Play Store o aparece como incompatible? No te preocupes, tenemos la solución más segura. Si tu dispositivo no soporta la tienda oficial de Google, está bloqueado por región o simplemente no aparece WhatsApp disponible para tu modelo, aquí te explicamos la alternativa más fiable para descargarlo sin riesgos
by pjc50 | 2025-04-30 09:47:57+00:00
I don't think you can get the individual vote interactions, and that's probably a good thing. It is irritating that the "API" won't let me get vote counts; I should go back to my Python scraper of the comments page, since that's the only way to get data on post scores.

I've probably written over 50k words on here and was wondering if I could restructure my best comments into a long meta-commentary on what does well here and what I've learned about what the audience likes and dislikes.

(HN does not like jokes, but you can get away with it if you also include an explanation)
by avaku | 2025-04-30 09:49:25+00:00
I thought that the full details might not be interesting for people, since the algorithm is just a mock up of the idea, but which already works! If I wrote the whole post about all the details, it would be very long. I can see how it's a bit out of context, because other parts of the algorithm are not described. But at least I uploaded it to github :)
by dns_snek | 2025-04-30 09:50:35+00:00
There must be a technical solution to this based on some cryptographic black magic that both verifies you to be a unique person to a given website without divulging your identity, and without creating a globally unique identifier that would make it easy to track us across the web.

Of course this goes against the interests of tracking/spying industry and increasingly authoritarian governments, so it's unlikely to ever happen.
by jpc0 | 2025-04-30 09:51:37+00:00
It’s not so much rereading the comments but more a matter of it being indication to other users.

The C++ example for instance above, you are likely to be downvoted for supporting C++ over rust and therefore most people reading through the comments (and LLMs correlating comment “karma” to how liked a comment is) will generally associate Rust > C++, which isn’t a nuanced opinion at all and IMHO is just plain wrong a decent amount if times. They are tools and have their uses.

So generally it shows the sentiment of the group and humans and conditioned to follow the group.
by gherard5555 | 2025-04-30 09:52:06+00:00
There is a similar thing for ssh servers, called endlessh (https://github.com/skeeto/endlessh). In the ssh protocol the client must wait for the server to send back a banner when it first connects, but there is no limit for the size of it ! So this program will send an infinite banner very ... very slowly; and make the crawler/script kiddie script hang out indefinitely or just crash.
by ZoomZoomZoom | 2025-04-30 09:52:25+00:00
This can only be done with crowdsource data. The hard parts, besides accumulating active users, are unique product identification and reputation system to prevent fake data flooding.

Autoscraping the price tags, as the sibling suggested, would be nice. However, in real retail the codes on the tags are regularly as small as possible and sometimes do not even correspond with the one on the product (don't know how this works). Means you need to scan them really close, individually. You also can't rely on placement for augmenting missing/trimmed textual data on tags with identifying the actual item on the shelf as in many places it's consistently messed up (as if on purpose).
by johnnyanmac | 2025-04-30 09:52:46+00:00
>that's the friction

It seems to be entirely preferential. If you prefer naming tabs it's extra friction to access the input field. Options are always nice, but you will rarely cover 100% user cases on a first release.

>every square matters

If you want zero real estate, you close the tab, optionally bookmarking it.

I don't know if some 5 pixel strip really helps anyone. that sounds like functionality deferred more towards a minor extention.
by godelski | 2025-04-30 09:53:41+00:00
In the two example problems there may be long sequences of identical motion that will then significantly diverge. That is, if you observe the object from t_i till t_j (with i,j > 0 and j > i) then this observation is not sufficient to distinguish better trajectories T_1 and T_2.

Chaotic systems are deterministic but highly sensitive to initial conditions. IIRC Lorenz said something like The present determines the future but the approximate present doesn't approximate the future

I don't find an issue with the line. To me it reads that to determine a systems parameters at t_i, you need to run the simulation from t_0. Which while not always true is more than accurate enough and is a common statement made when chaos is being taught. The accuracy just depends on how chaotic the system is and how long you measure for
by littlestymaar | 2025-04-30 09:55:15+00:00
Ultimately, guaranteeing common trust between citizens is a fundamental role of the State.

For a mix of ideological reasons and lack of genuine interest for the internet from the legislators, mainly due to the generational factor I'd guess, it hasn't happened yet, but I expect government issued equivalent of IDs and passports for the internet to become mainstream sooner than later.
by icoder | 2025-04-30 09:56:37+00:00
I'm sometimes thinking about account verification that requires work/effort over time, could be something fun even, so that it becomes a lot harder to verify a whole army of them. We don't need identification per se, just being human and (somewhat) unique.

See also my other comment on the same parent wrt network of trust. That could perhaps vet out spammers and trolls. On one and it seems far fetched and a quite underdeveloped idea, on the other hand, social interaction (including discussions like these) as we know it is in serious danger.
by avaku | 2025-04-30 09:56:55+00:00
There is definitely a ceiling problem. However, I found that with smarter models (such as o3) you could first discuss the mathematical model (or system architecture), so that it knows the context. After that you can ask it to write code, and then it can follow your overall idea very well. Even write a working ML algorithm with fitting. That's why I made the blog post, because I was able to achieve the next level of collaboration with o3. It almost shocks me how good is this. Since the blog post, I've made significant advances in other work-related areas (ML algos for finance).
by pelagicAustral | 2025-04-30 09:57:44+00:00
So far about 200US.

My workload is:

- clone my Rails boilerplate (simple app skeleton with: auth [rolify, devise, devise-passwordless], vite [tailwind, flowbite], friendly urls, pagy, ransack, and smtp). I've got a few sample pages and user profile edit along with an administrative area for user and role management. That's it.

- bring in Claude Code and ask to gonthrought the codename to get familiar.

- obviously by now I know what I want to build and i have got my scope written down or I just know it by heart.

- I divide the scope in portions that I feel are the logical trayection of the app, so my instructions make sense, we don't build models ahead of models that are dependant on the former.

- start passing instructions to build the app block by block. Model to model...

- finally add things like email notifications for which I would pass every single controller action I want a notification for. Everything generic with a wide spread in the app goes in this phase.

That's more or less it... like I said, I've build a few fully functional prod read apps so far.
by timonpimba | 2025-04-30 09:58:15+00:00
Love you, man. Thanks very much for replying. Honestly, I thought I have asked a very dumb question with respect to the HN standard, which is why I had not received any replies until yours.

I'm a beginner programmer and a Mathematics Undergrad. I learned C++ and thought of applying it to real-world things. So, I picked a GitHub repo and a "good first issue" and started working on it; I was stuck for a long time.

I think this is a fundamental skill that is talked about very little, and strangely it has not been covered on YT, also couldn't find articles.

But I'll keep trying to learn it. As you said, I'll need to do more practice.

You are very kind person. Thanks.
by dustingetz | 2025-04-30 09:58:54+00:00
it also drives my gmail sentence autocomplete. it does not mean “30% of my email is written by AI”. It does help me type faster though. Reframing the one as the other is, imo, securities fraud. (I will asterisk that YC startups vibecoding their product is real, but that’s, like, 10^10 lower LOC scale than “all of Google”)
by ta1243 | 2025-04-30 10:00:26+00:00
Where congress just follows the party line. Or does back room deals

I think the larger problem with democracy in general is that constituencies are no longer geographic. A software engineer in Austin and one in San Jose have far more in common than a software engineer in Austin and a Tractor dealer in Austin.

The representative for Austin has to represent the conflicting views of both the Tractor dealer and the software engineer.
by ishanmahapatra | 2025-04-30 10:00:27+00:00
Unfortunately, Winterbreak doesn’t work on Kindles with the latest firmware (5.18.1 or 2). And there’s no way to downgrade the firmware to an earlier one without having previously jailbroken your device.

So now it’s a waiting game to see when the new method for the latest firmware will be ready for the public.
by cometapi | 2025-04-30 10:01:00+00:00
On April 28, 2025, Alibaba Cloud unveiled Qwen 3, the latest iteration in its family of large language models (LLMs). This release marks a significant milestone in the evolution of open-source AI, offering a suite of models that cater to diverse applications and user needs. Whether you’re a developer, researcher, or enterprise, understanding how to access and utilize Qwen 3 can unlock new possibilities in natural language processing and beyond.
by makeitdouble | 2025-04-30 10:01:16+00:00
Japanese engineering at it's core is grit and resilience (”fall down seven times, stand up eight”）. Japan's architecture prowess comes from waves and waves of catastrophes they've overcome and rebuilt upon.

For Japan to be that good at nuclear, there first needs to be a way to gracefully fail and retry, instead of making whole regions unhabitable for a century. We're clearly not there yet.
by metalman | 2025-04-30 10:02:51+00:00
I de-guggled years ago, after I goot locked out because I signed in through "unfamiliar wifi" and now use web page sign in's for everything but email......but now have my own domain, and will switch to web mail. I also use cash for most of my local purchaseing, and am pursueing incorporation for my business, and that will seperate my personal and business banking completely. I might not be a hard target, but I am small, and off the beaten path, so I think that will deter most fraudsters.
by bArray | 2025-04-30 10:03:13+00:00
Are these prominent events? Some of these models are just trained a little longer or cooked with different data?

I think it would be better to list pivotable events, i.e. significant changes in architecture or approach, or a benchmark being surpassed. Otherwise this is just a list of models released by big tech companies irrespective of their importance.

Also I think I would prefer it be renamed from "Artificial Intelligence Timeline" when it's only since 2022 and AI encapsulates a hell of a lot of important work other than LLMs. I've been around long enough to see a few AI bubbles now.

Important events of AI are definitely missing anyway, for example when in 1956 some of the greatest minds in the field of the time set about trying to solve AI [1], only to realise it was far more complex than they imagined. It's only now we even approach addressing some of those original aims, some 70 years later.

[1] https://www-formal.stanford.edu/jmc/history/dartmouth/dartmo...
by havkom | 2025-04-30 10:04:00+00:00
Good investigation!

Software developers nowadays barely know about transactions, and definitely not about different transaction models (in my experience). I have even encountered "senior developers" (who are actually so called "CRUD developers"), who are clueless about database transactions.. In reality, transactions and transaction models matter a lot to performance and error free code (at least when you have volumes of traffic and your software solves something non-trivial).

For example: After a lot of analysis, I switched from SQL Server standard Read Committed to Read Committed Snapshot Isolation in a large project - the users could not be happier -> a lot of locking contention has disappeared. No software engineer in that project had any clue of transaction models or locks before I taught them some basics (even though they had used transactions extensively in that project)..
by Daegalus | 2025-04-30 10:05:09+00:00
Honestly, no matter what fancy UI features they add, until they add WebSerial and WebUSB, Firefox is not a replacement for anything Chromium based for me. I have a lot of devices that use all that, and I don't want to constantly deal with switching browsers or making standalone wrappers so that I can use them.

But Firefox devs have a strong "we know whats good for you" mentality and refuse to add it.
by orbital-decay | 2025-04-30 10:08:00+00:00
You're right, although tests like this have been done many times locally as well. This issue comes from the fact that RL usually kills the token prediction variance, disproportionately narrowing it to 2-3 likely choices in the output distribution even in cases where uncertainty calls for hundreds. This is also a major factor behind fixed LLM stereotypes and -isms. Base models usually don't exhibit that behavior and have sufficient randomness.
by dguest | 2025-04-30 10:08:33+00:00
It's a histogram. Each color is a different simulated physical process: they can all happen in particle collisions, so the sum of all of them should add up to the data the experiment takes. The data isn't shown here because it hasn't been taken yet: this is an extrapolation to a future dataset. And the dotted lines are some hypothetical signal.

The area occupied by each color is basically meaningless, though, because of the logarithmic y-scale. It always looks like there's way more of whatever you put on the bottom. And obviously you can grow it without bound: if you move the lower y-limit to 1e-20 you'll have the whole plot dominated by whatever is on the bottom.

For the record I think it's a terrible convention, it just somehow became standard in some fields.
by Joeboy | 2025-04-30 10:08:43+00:00
I think what bothers people is the idea of having to work to pay for somebody else's leisure. Obviously lots of arguments to be had about the specifics of that, but I think it's more about this than a moralistic concern about "unearned" leisure. Nobody minds much if somebody wins the lottery and lives a frugal and leisurely life on the proceeds.
by drcongo | 2025-04-30 10:08:48+00:00
I actually built this once, a long time ago for a very bizarre social network project. I visualised it as a mesh where individuals were the points where the threads met, and as someone's trust level rose, it would pull up the trust levels of those directly connected, and to a lesser degree those connected to them - picture a trawler fishing net and lifting one of the points where the threads meet. Similarly, a user whose trust lowered over time would pull their connections down with them. Sadly I never got to see it at the scale it needed to become useful as the project's funding went sideways.
by austin-cheney | 2025-04-30 10:08:57+00:00
1. Go back to school and become an engineer, an actual engineer with a license.

2. If you are young and healthy military is still an option.

3. Pick up a trade where you use your hands, like plumbing or construction.

4. Go back to school and become a lawyer.

5. Go work at a charity, such as a homeless shelter.

The first thing is to know what you like and what you would rather do. I was in the same boat as you about 2 years ago. I was a JavaScript developer who loved writing applications in JavaScript. The problem is that almost nobody else in the workforce could write applications in JavaScript, so it was miserable with a bunch of insecure pretenders.
Show HN: Eiren AI:Goal Planner, Mindfulness and Journaling App (Launching May 5)
by Som3body | 2025-04-30 10:09:48+00:00
Over the past year, I’ve been building a deeply personal project called Eiren AI — a mindfulness and growth app designed to help people reduce overwhelm, stay grounded, and make daily progress toward their goals.

It's built on a simple but powerful idea: What if your personal growth app could think with you? Not just track tasks, but also support your emotions, help you journal, and generate meditations based on how you feel?

Eiren AI helps users: -Turn visions into structured goals and daily tasks with AI support. -Reflect through journaling (with templates + AI autocomplete). -Generate personalized meditations based on current mental or emotional states. -Get guidance via a calm and friendly in-app AI chat.

I’m launching officially on May 9, but the landing page is live now. You can get reminded at launch when you sign up to the newsletter at https://eiren.ai/newsletter. I'm currently focusing on feedback, early user interviews, and ensuring the experience is smooth across platforms.

Tech stack: -Built with FlutterFlow -Firebase + Firestore backend -GPT via OpenAI (for journaling/vision gen) -ElevenLabs (for meditation voiceovers) -RevenueCat for subscriptions

The app follows a freemium model, with most features unlocked in a CHF 19/month plan (~$20) or a yearly plan for 99.- (around 8.- / month).

If this resonates with you — whether you're into AI, habit-building, mental clarity, or building tools that feel good to use — I’d love your feedback. Especially on the landing page, onboarding clarity, and app concept overall.

https://eiren.ai

Thanks for reading, and much love to everyone here building things that matter.

– Tobias
by anentropic | 2025-04-30 10:09:53+00:00
> they added another trillion tokens and shrank the model from 18 GB to 9 GB through quantization, reducing its bit width from Mamba2’s 16-bit floating-point precision to 8-bits.

This sounds like what they call "Bamba-9B" is actually an 18B model quantised to 8 bits.

I thought generally we were naming models "nB" by their number of params and treating quantisation as a separate concern. Are there any other models that instead treat the name as an indicative memory requirement?

Is this an attempt to hide that it fares poorly vs other ~18B parameter models?

EDIT: no, I just misunderstood
by shrubble | 2025-04-30 10:11:04+00:00
I’m a daily user in a corporate environment of Outlook, MS Teams, Sharepoint etc.

MS Teams is using 1200 MB of RAM when it starts running. Skype for Business used less than 180 MB, same functionality.

Outlook is completely unusable at 1366x768 resolution (which only shows up when you use your laptop while traveling!)

I predict that soon you’ll see some large corporations publicly switching to other solutions; the path MS is on which neglects these kinds of problems, will be a natural progression.