MurphyA/hacker-news huggingface dataset:
by clowncubs | 2025-12-17 19:16:56+00:00
I started by buying some Sculpey clay, some armature wire, and a 6-inch wooden base. This and an assortment of tools. Then I found an online 3d model I could turn in all directions. And then, I just tried to sculpt it. It wasn't great, but it wasn't bad. From there I looked for video instruction on YouTube. There are a ton of sculpting videos out there. Books: there is a great book by the Shiflett Brothers that was very helpful to me (Clay Sculpting with the Shiflett Brothers). They also have a great sculpting forum on Facebook. Eventually I signed up for the Stan Winston School of Character Arts. This has been incredibly helpful for the direction I am going.

So, I started small, and then built from there. I only bought materials and tools when my journey necessitated them so I could refrain from getting ahead of myself. I think this is valuable, as it is easy for me to get carried away in the beginning of anything new, and go whole-hog only to find later that my interest lay elsewhere. I wanted to prove to myself that my purchases were for a reason and meaningful to where I was at, at that moment.

I have kept a blog of my learning experiences, trying to give back as I can. I don't want to break the forum rules, but if you want I can send you links to my site. It has my work and the blog has outlines of what I have done, steps, resources, etc. I hope it is helpful to someone out there going along this path.
by bigstrat2003 | 2025-12-17 19:17:02+00:00
The legislature also has only the powers enumerated in the Constitution. As "create independent agencies" is not one of those powers, it comes down to a matter of interpretation as to whether one of the powers granted to Congress implies the ability to create independent agencies. But once you enter the land of interpretation, it's, well... open to interpretation, and thus it's not unreasonable for someone to take issue with a certain interpretation.
by acdha | 2025-12-17 19:17:06+00:00
The problem is that most people have many parts of their identities and you don’t know which factored into the attack. It certainly wouldn’t be a shock if it was anti-Semitism but it’s unclear why he would have been singled out from the many thousands of other Jews in the Boston area.

This is problematic because most of the sources saying he was Jewish and pro-Israel seem to be quoting each other. The Wikipedia reference was added yesterday and removed today because the linked sources didn’t say anything about his religion, and I haven’t seen any sources about pro-Israel stances which I’d think would be easier to find if he was outspoken enough to be targeted. It’s still quite possible that he was the unfortunate victim of a stalker-most of the professors I know have had to work with security to keep someone off campus because colleges attract a certain brand of mentally ill people–but it seems odd that these sources are so confident about this assertion without citing sources.

Based on e.g. https://news.mit.edu/2018/nuno-loureiro-faculty-physics-1016 it really seems like his passion was physics and I think we should commemorate someone who tried to improve humanity’s understanding of the universe. If new details emerge, I’m sure they’ll be posted here.
by port11 | 2025-12-17 19:17:14+00:00
A major thing that holds us back and will continue to do so in B2B (coming from someone whose last startup failed): differences in language/customs/needs linked to the multitude of cultures in the region.

We hired someone that could sell in Italian, French, and Spanish. Her profile is fairly rare, given she had a good understanding of the customer. I can't believe our CEO let her go simply because of a 4-days at the office obsession…

LLMs can't really fix this. Even though she could speak Spanish, the culture and customer needs for Spain will be a little different than those for Italy. Traditions will be different. She's a wonderful human being, but imagine a customer in France not liking her “Belgian accent” and tanking a sale… She was really losing motivation because of that. The 2 other people on sales struggled more or less with the same issue.

All hail LLMs, if you want, but Europe's issues are not that easily fixed. We end up obsessing about the wrong stuff, as if compliance and regulation was the Big Problem, instead of a boogeyman that neoliberals love to hate.
by drob518 | 2025-12-17 19:17:18+00:00
I think the answer is #2, the tautology. But just because it’s a tautology doesn’t mean it’s a worthless thing to say. I think it’s also true, for instance (a corollary), that Rust eliminates more types of bugs than C does. And that may be valuable even if it does not mean that Rust eliminates all bugs.
by dcvr | 2025-12-17 19:17:24+00:00
These days, I came across a project on HackerNews proposing to wrap agent architectures with a deterministic control layer, composed of sets of formal rules—however many may be necessary—to mitigate issues such as hallucination, infinite loops, or goal drift in these components.

Without debating the merits of the idea itself, I liked a provocative comment in the thread that questioned the intention of going back to writing formal rules and instructions for a working domain, when the goal of adopting agents was precisely to avoid having to write them.

As an ordinary human, I always latch onto a pattern when I see one. The current buzz around projects applying LLM-based agents to commercial activities strongly reminds me of the attempts to use blockchain for a wide range of problems in the early 2020s.

Blockchain is a technically fascinating concept and, together with the other parts of the Bitcoin protocol, helped make “Byzantine consensus” viable. It solved a major (and valuable) specific problem. But its use ended up being limited to that purpose.

In 2020, I was leading Getmore.com.br and I remember having many discussions—some intense—about how it made no sense to use blockchain in building incentive and loyalty programs, as well as in many other domains beyond Bitcoin. History, in retrospect, proves me right, but not riding the hype cost us business and opportunities at the time. Sometimes you have to play the fools’ game.

I believe that the strength (and the limit) of using agents will be established in solving elementary problems of assistance in language production, including software development, the production of general multimedia content, as well as domain-specific content—for example, medical or legal content.

I agree that this represents a broader spectrum of problems than the previous blockchain context. The limits, in this case, would not be of field, but of scope and autonomy. In the end, we will probably have to continue formalizing and describing the domain.
by CGMthrowaway | 2025-12-17 19:17:32+00:00
It's not, really. In Seila Law v. CFPB (2020) the Supreme Court ruled that even directors seemingly protected by for-cause language (which the FCC charter does not have) can be removed at will unless the agency in question "exercises no part of the executive power" and is "an administrative body ... that performs ... specified duties as a legislative or as a judicial aid." https://en.wikipedia.org/wiki/Seila_Law_LLC_v._Consumer_Fina...
by timmyc123 | 2025-12-17 19:17:35+00:00
> The passkey vendors state that the goal was to make phishing not just difficult but impossible. This means plaintext access to your credentials is forbidden forever, regardless of your level of expertise, and regardless of the complexity of the process to export/import them.

Care to cite this statement?

> As an Apple Mac user, what annoys me the most is that the use of passkeys in Safari requires iCloud Keychain, which of course requires iCloud and an Apple Account. You can't do local-only passkeys, not even if you take responsibility for backing up your own Mac.

You can use any credential manager you choose. You don't have to use Apple Passwords / iCloud Keychain.
by iFire | 2025-12-17 19:17:47+00:00
Are you aware of the generate trajectories (like 8 different plans), rank and then judge workflow from reinforcement learning?

I noticed it was giving me better results and allowed me greater variety even though I won't use the remaining plans.

https://gist.github.com/fire/17c4962827139822b3d2a96a0c479e4...

Note that the rule doesn't make much sense out of context and the math is wrong... oops :D
by israrkhan | 2025-12-17 19:18:43+00:00
1. replacing junior engineers, with AI ofcourse breaks the talent pipeline. Seniors will retire one day, who is going to replace them? Are we taking the bet, that we wont need any engineer at that time? sounds dangerous.

2. Junior engineer's heavy reliance on AI tools is a problem in itself. AI tools learn from existing code that is written by senior engineers. Too much use of AI by junior engineers will result in deterioration of engineering skills. It will eventually result in AI learning from AI generated code. This is true for most other content as well, as more and more content on internet is AI generated.
by l1tany11 | 2025-12-17 19:18:56+00:00
I think you’re way off tbh. Something like 85% of the motorcycle market is for pleasure. Plenty of those bikes have a range of only ~100 miles as it is. Stopping is not really the problem. The problem is the charging infrastructure does not exist and the charge times are way too long.

Do some motorcycle owners commute on their bikes? Of course, but that’s clearly the minority of the market. The reason cycle trader is full of low mileage bikes is that the whole activity is kind of a pain in the ass when you think about it. Add charging to that and it’s just too much to bear.

Pleasure riders often ride on nice sunny sundays in groups to ruralish areas where it’s scenic and the roads are winding with few traffic lights etc. they need to be able to “gas up” a significant number of bikes quickly. And that shit is a pain to organize so they do it like twice a year. Hence the low mileage.

Electric motorcycles really are a super hard sell. The stark varg makes way more sense cause that’s a type of motorcycle that gets carried to the destination most of the time anyway. So the range thing is way less of an issue and the upsides stand out way more. That’s probably why I see way, way more Vargs or bikes like them than live wires.
by verdverm | 2025-12-17 19:19:19+00:00
I use Dagger as well, since v0.1.2, even worked on the CUE stuff around then with them.

I wouldn't call it a CI system though, but certainly the philosophy that local and CU should be running the same thing saves many hours of frustration.

I'm currently using Dagger to create forkable/rewindable agent sessions and environments (not with their agent nonsense). Dagger is a pretty sweet piece of tech, so many uses for programmatic container layers
Show HN: GitForms – Zero-cost contact forms using GitHub Issues as database
by lgreco | 2025-12-17 19:19:19+00:00
got tired of paying $29–99/month for simple contact forms on landing pages and side projects (Typeform, Tally, etc.).So I built GitForms: an open-source contact form that stores submissions as GitHub Issues.How it works:Form runs on your Next.js 14 site (Tailwind + TypeScript) On submit → creates a new Issue in your repo via GitHub API You get instant email notifications from GitHub (free)

Zero ongoing costs:No database, no backend servers Deploy on Vercel/Netlify free tier in minutes Configurable via JSON (themes, text, multi-language)

Perfect for MVPs, landing pages, portfolios, or any low-volume use case.Repo: https://github.com/Luigigreco/gitforms License: CC-BY-NC-SA-4.0 (non-commercial only – fine for personal projects, not client work).Curious what HN thinks: would you use this? Any obvious improvements or edge cases I missed?Thanks!
by AnIrishDuck | 2025-12-17 19:19:38+00:00
> Classic Motte and Bailey.

For this to be a "classic motte and bailey" you will need to point us to instances where _the original poster_ suggested these (the "bailey", which you characterize as "rust eliminates all bugs") things.

It instead appears that you are attributing _other comments_ to the OP. This is not a fair argumentation technique, and could easily be turned against you to make any of your comments into a "classic motte and bailey".
by MyOutfitIsVague | 2025-12-17 19:19:51+00:00
It's worth noting that "aliasing" in Rust and C typically mean completely unrelated things.

Strict aliasing in C roughly means that if you initialize memory as a particular type, you can only access it as that type or one of a list of aliasable types look like char. Rust has no such restriction, and has no concept of strict aliasing like this. In Rust, "type aliasing" is allowed, so long as you respect size, alignment, and representability rules.

Aliasing safety in Rust roughly means that you can not have an exclusive reference to an object if any other reference is active for that reference (reality is a little bit more involved than that, but not a lot). C has no such rule.

It's very unfortunate that such similar names were given to these different concepts.
by rdiddly | 2025-12-17 19:19:57+00:00
None of those figures are what the engineer makes, they're costs. And they're illustrative, not literal. You won't pay everyone at the same rate either for example, and not all will be engineers either, and I totally left both those facts out of it. Oh no! And also omitted the fact that a company whose vision and ideals people agree with can hire said people for less money, which again brings us back around to the point that the vision might be more important.
Show HN: Thugg.lol – a Link-in-Bio platform built from scratch
by m6jo9 | 2025-12-17 19:20:21+00:00
I’m building thugg.lol, a Link-in-Bio platform similar in category to guns.lol and feds.lol, implemented entirely from scratch.

The project does not rely on SaaS templates or existing profile engines. The backend API, database schema, authentication, analytics, payments, and rendering logic are custom-built.

Links: Homepage: https://thugg.lol Example profile: https://thugg.lol/m6jo9

The project is currently in an MVP phase. The UI is minimal by design, with a complete UX/UI redesign planned. Internationalization (i18n) and multi-language support are also planned.

Focus Backend architecture and data modeling Extensible system design Feature experimentation Long-term scalability

Feedback I’m interested in feedback on: The overall concept Feature scope and priorities Archiectural choices What feels unnecessary or missing

I’m also open to collaboration with developers or designers who are interested in working on a system built from zero.
by CuriouslyC | 2025-12-17 19:20:31+00:00
I don't find it to be more torturous than that. In fact, if I were to go back and learn lisp again, I think I'd be a lot more motivated seeing how to build something interesting out of the gate rather than the toy programs I learned in my racket course.

Also, for a lot of things, that is how people learn because there aren't good textbooks available.
by jonahrd | 2025-12-17 19:20:41+00:00
this became extremely apparent for me watching Adam Curtis's "Russia 1985-1999: TraumaZone" series. The series documents what it was like to live in the USSR during the fall of communism and (cheekily added) democracy. It was released in Oct 2022, meaning it was written and edited just before the AI curve really hit hard.

But so much of the takeaway is that it's "impossible" for top-down government to actually process all of what was happening within the system they created, and to respond appropriately and timely-- thus creating problems like food shortages, corrupt industries, etc etc. So many of the problems were traced to the monolith information processing buildings owned by the state.

But honestly.. with modern LLMs all the way up the chain? I could envision a system like this working much more smoothly (while still being incredibly invasive and eroding most people's fundamental rights). And without massive food and labour shortages, where would the energy for change come from?
by deepspace | 2025-12-17 19:20:55+00:00
> I'm pretty sure AI is going to lead us to a deskilling crash.

That's my thought too. It's going to be a triple whammy

1. Most developers (Junior and Senior) will be drawn in by the temptation of "let the AI do the work", leading to less experience in the workforce in the long term.

2. Students will be tempted to use AI to do their homework, resulting in new grads who don't know anything. I have observed this happen first hand.

3. AI-generated (slop) code will start to pollute Github and other sources used for future LLM training, resulting in a quality collapse.

I'm hoping that we can avoid the collapse somehow, but I don't see a way to stop it.
by port11 | 2025-12-17 19:21:31+00:00
Keeping tech fast, if my worldview holds. One reason I left frontend work before was that none of my colleagues seemed to care that we shipped MBs of code to the client. I also tire of APIs that are in the multi-second response time arena, often because no one seems to bother with database indexes or JOIN optimisation. This should be banal, everyday stuff.

Maybe we have too many layers of abstraction. Or there's just too much work to do now that businesses combine many roles into one?
by TheSkyHasEyes | 2025-12-17 19:21:33+00:00
> Modern society totally devalues anything considered even slightly old.

Mild counterpoint. Our professions(all things IT) moves bloody fast.

If I were looking for info on cooking, baking, knitting sure... but IT stuff, I opine many of us seek the latest info because of the breakneck speeds this profession is known for.
by treis | 2025-12-17 19:21:51+00:00
Why would my browser that is used to display static HTML need high performance 3D rendering or a low level assembly target?

The websites that use LLMs don't exist yet. Think of something like meetup.com. Instead of that you ask your LLM for something to do this weekend. It finds events, other people looking for something to do, and you have an ad hoc meetup.

Beyond that it's like looking at a blackberry and predicting what it'll be used for in the future. Hard to say "oh gay men will use that for casual hookups and it'll be called Grindr".
by gosub100 | 2025-12-17 19:22:08+00:00
Which was trained on a pre-AI internet. What's going to happen in coming years when new tech comes out but perhaps isn't documented the same way anymore? It's not an unsolvable problem, but we could see unintended consequences like, say where you must pay the AI provider to ingest your data. Similar to buying poll space or AdSense or whatever they call it for search engines
by qbane | 2025-12-17 19:22:39+00:00
That is a fair assessment. Maintaining read/write pos and peek them at every operation is a big performance hit. The impact is amplified if each invocation needs a syscall. That is exactly what futexes address: Allowing spin locks to remain in user space and avoid entering the kernel as long as contention is low.

In JavaScript, atomic operations are relatively lightweight, so their overhead is likely acceptable. Given that, I am open to adjusting my code to your suggested approach and seeing how it performs in practice.
by Jabbs | 2025-12-17 19:22:57+00:00
https://www.unlistedjobs.com/

A different type of job search site that gathers job postings direct from company websites. About 1 in 4 jobs are not advertised on any sites (like LinkedIn or Indeed) but they are found going direct to company career page.

Side note: I found my last gig using this method so have now built it into a web app. It is a paid service but feel free to DM me for a free trial.
by novok | 2025-12-17 19:22:58+00:00
AI is a new kind of bulk tool, you need to know how to use it well and context management is a huge part of it. For that 1-1 example, you would do a for loop with new context with subagents or a literal for loop for example to prevent the 'first two and last one' issue. Then with those 1-1 summaries, look at that to make the determination for example.

Humanity has gotten amazing results from unreliable stochastic processes, managing humans in organizations is an example of that. It's ok if something new is not completely deterministic to still be incredibly useful.
by verdverm | 2025-12-17 19:23:20+00:00
By containers I mean I get to define my CI environment with containers, not nix or that somewhere under the hood containers are being used

Like Argo or Jenkins. Pushing nix as the DX for GHA equivalent was a poor choice by Tangled IMO. It's too unusual for your average dev, I'm not interested in learning nix so I can use CI.
by dwrodri | 2025-12-17 19:23:34+00:00
I think if AI can help us modernize the current state of hardware verification, I think that would be an enormous boon to the tech industry.

Server class CPUs and GPUs are littered with side channels which are very difficult to “close”, even in hardened cloud VMs.

We haven’t verified “frontier performance” hardware down to the logic gate in quite some time. Prof. Margaret Martinosi’s lab and her students have spent quite some time on this challenge, and i am excited to see better, safer memory models oyt in the wild.

A lot of the same big ideas used in hardware are making their way into the software later too, see https://faultlore.com/blah/tower-of-weakenings/
by artembugara | 2025-12-17 19:23:45+00:00
It really makes sense, and the best part — customers love it. It’s the simple form of pricing, and it’s simple to understand.

In many cases though, you don’t know whether the outcome is correct or not but we just have evals for that.

Our product is a SOTA recall-first web search for complex queries. For example, let’s say your agent needs to find all instances of product launches in the past week.

“Classic” web search would return top results while ours return a full dataset where each row is a unique product (with citations to web pages)

We charge a flat fee per record. So, if we found 100 records, you pay us for 100. Of its 0 then it’s free.
by sfpotter | 2025-12-17 19:24:07+00:00
Disagree, actually. Having spent a lot of time publishing papers in those very journals, I can tell you that just browsing a journal is much less conducive to discovering a new area to dive into than going to a library and reading a book. IME, books tend to synthesize and collect important results and present them in an understandable (pedagogical?!) way that most journals do not, especially considering that many papers (nowadays) are written primarily to build people's tenure packets and secure grant funding. Older papers aren't quite so bad this way (say, pre-2000).
by rajvarkala | 2025-12-17 19:24:16+00:00
Hi alberth,

I'd assume an outcome is a negotiated agreement between buyer and Agent provider.

Think of all the n8n workflows. If we take a simple example of Expense receipt processing workflows, or a lead sourcing workflow, I'd think the outcomes can be counted pretty well. In these cases, successfully entered receipts into ERP or number of Entries captured in salesforce.

I am sure there are cases where outcomes are fuzzy, for instances employer-employee agreement.

But in some cases, for instance, my accounting agent would only get paid if he successfully uploads my tax returns.

Surely not applicable in all cases. But, in cases Where a human is measured on outcomes, the same should be applicable for agents too, I guess
by Animats | 2025-12-17 19:25:08+00:00
That's come up, too. The Copyright Office is a unit of the Library of Congress. Trump tried but failed to fire the head of the Copyright Office.[1]

U.S. Marshals used to belong to the judicial branch, and were hired by the district courts. In the 1960s, they were moved to the executive branch, under the Justice Department. This wasn't controversial at the time. The court system wasn't set up to train and manage the marshals. But the effect was that the courts lost their independent muscle.

[1] https://apnews.com/article/trump-supreme-court-copyright-off...