MurphyA/hacker-news huggingface dataset:
by tristor | 2025-12-10 15:30:10+00:00
I've given many talks at conferences, meetups, and otherwise. My number one piece of advice is to /really/ know your subject. Sometimes I am asked to present something I don't already intimately know, and it can be tempting to put together a presentation and learn just enough to present, but it's MUCH better to really go deep and learn the subject fully. Why?

1. Competence creates confidence, and confidence creates trust.

2. You can answer questions, pretty much any question, and if you can't you can let the audience know graciously without coming off as unknowledgable.

3. It makes it easier to present well, because you don't need to or are not tempted to read from the slides, you're telling a story or sharing information in a natural way, off the dome, using the slides only as a topic guide because you already fully understand everything about the subject.

I have found this to be so important, that I sometimes /choose/ to present something I'm interested in but don't know well (with enough lead time) as a jumping off point to dig deep into it. I have long believed if you want to really understand something, the benchmark for having achieved competence is successfully teaching that subject to another person and seeing them succeed with it.
by jacquesm | 2025-12-10 15:30:11+00:00
Absolutely. Again, not a fan of the language. But you can transcode 10's of video streams on a single machine into a whole pile of different output resolutions and saturate two NICs while you're at it. Java has been 'fast enough' for almost all purposes for the last 10 years at least if not longer.

The weak point will always be the startup time of the JVM which is why you won't see it be used for short lived processes. But for a long lived process like a browser I see no obstacles.
by asveikau | 2025-12-10 15:30:30+00:00
https://www.nytimes.com/2024/09/18/world/middleeast/lebanon-...

> Fatima was in the kitchen on Tuesday when a pager on the table began to beep, her aunt said. She picked up the device to bring it to her father and was holding it when it exploded, mangling her face and leaving the room covered in blood, she said.
by 7777777phil | 2025-12-10 15:30:45+00:00
I think the real issue comes down to how these companies are being valued. As the article points out, "the top 20 firms account for 52%, with the same number deeply invested in AI." This concentration makes the market more vulnerable to any major setback in AI's growth. But the question remains: Are these valuations justified? As I mentioned in earlier writing [1][2], many AI stocks are priced assuming the tech will deliver far more immediate and consistent returns than history suggests. These speculative assumptions are similar to the dotcom era, where companies like Yahoo and Pets.com were valued based on hype/expectation rather than fundamentals. If AI doesn't live up to the hype, the consequences could be even worse today imo, given how much more of American wealth is tied up in stocks.

Edit: Just read a related WSJ [3] article.

[1] https://pdub.click/2511242 [2] https://pdub.click/251210e [3] https://www.wsj.com/personal-finance/the-everyday-investors-...
by carlosjobim | 2025-12-10 15:30:47+00:00
There is nothing evolutionary about human monogamy, it is all cultural. Instinctively, humans are not monogamous, neither male nor female. Something which is completely evident for people who have lived outside of an academic library.

So their entire premise is false and proven false beyond any doubt.

> The ‘monogamy hypothesis’ holds that the evolution of highly cooperative social behaviour is more likely to occur in species in which parents mate monogamously and produce full siblings

This is not evolution when it comes to humans, because it is not genetical. It is cultural.
by vablings | 2025-12-10 15:30:59+00:00
>One perspective is that Rust appears to be forced into the Linux kernel through harassment and pressure. Instead of Rust being pulled, carefully, organically and friendly, and while taking good care of any significant objections. Objections like, getting the relevant features from unstable Rust into stable Rust, or getting a second compiler like gccrs (Linux kernel uses gcc for C) fully up and running, or ensuring that there is a specification (the specification donated by/from Ferrous Systems, might have significant issues), or prioritizing the kernel higher than Rust.

On the flip side there have been many downright sycophants of only C in the Linux kernel and have done every possible action to throttle and sideline the Rust for Linux movement.

There have been multiple very public statements made by other maintainers that they actively reject Rust in the kernel rather than coming in with open hearts and minds.

Why are active maintainers rejecting parts of code that are under the remit of responsibility?
Show HN: Cupcake – Better performance and security for coding agents (via OPA)
by ramoz | 2025-12-10 15:31:48+00:00
We're releasing early efforts on coding agent governance with Cupcake [1] - an open-source policy enforcement layer with native integrations. You write rules in policy-as-code (OPA/Rego), and Cupcake integrates them into the agent runtime via Hooks.

See it in action (Desktop only): https://cupcake-policy-studio.vercel.app/example-policies/se...

Help us build: https://github.com/eqtylab/cupcake

We are EQTY Lab, our mission is verifiable AI (identity, provenance, and governance). With the rise of capable agents like Claude Code, it became immediately clear that those deploying these agents need the ability to conduct their own alignment and safety controls. We can’t rely solely on the frontier labs.

This is why we created the feature request for Hooks in Claude Code [2], and pivoted away from filesystem and OS-level monitoring once those hooks were implemented. Hooks provide the critical points we need:

* Evaluation: Checking agent intent and actions.

* Prevention: Stopping unsafe or unwanted actions.

* Modification: Adjusting the agent's output before execution.

Policy-as-Code with OPA/Rego - While many agent security papers suggest similar policy architectures using invented DSLs, Cupcake is fundamentally built on Open Policy Agent (OPA) and its policy language, Rego [3].

We chose Rego because it is:

* Industry-Robust: Widely adopted across enterprise DevSecOps and cloud-native environments.

* Purpose-Built: Offers unique, mature advantages for defining, managing, and enforcing policy as code.

* Enterprise-Oriented: This makes Cupcake compatible with existing enterprise governance frameworks.

Cupcake is released under the Apache-2.0 license. We will formalize a path to v1.0.0 in Q1 of 2026. This is an early preview version. The goal with Cupcake is not suppression, but to ensure an agent is able to drive fast without crashing. To collaborate, or join forces: ramos at eqtylab dot io.

[1] https://github.com/eqtylab/cupcake

[2] https://github.com/anthropics/claude-code/issues/712

[3] https://www.openpolicyagent.org/
by bachmeier | 2025-12-10 15:31:54+00:00
That doesn't reflect the reality of life for those in the bottom half of the wealth distribution, and especially for those in the bottom quarter. $30K is a lot of money to them. The 30th percentile of income in the US in 2023 was under $30K. They're hoping to grow their $50K to $100K or $150K before retiring at 70.
by monegator | 2025-12-10 15:32:00+00:00
> I don't know if it's that the AI was trained on human mistakes, or just that these languages have such strong wells of footguns that even an alien intelligence gets trapped in them.

First one. Most of C code you can find out there is either oneliners or shit, there are fewer bigger projects for the LLMs to train on, compared to python and typescript

And once we go to the embedded space, the LLMs are trained on manufacturer written/autogenerated code, which is usually full of inaccuracies (mismatched comments) bugs and bat practices
by guardian5x | 2025-12-10 15:32:34+00:00
So is the “binary” nature of today’s switches the core objection? We routinely simulate non-binary, continuous, and probabilistic systems using binary hardware. Neuroscientific models, fluid solvers, analog circuit simulators, etc., all run on the same “binary switches,” and produce behavior that cannot meaningfully be described as binary, only the substrate is.
by Ukv | 2025-12-10 15:32:35+00:00
The article doesn't say anything along those lines as far as I can tell - it focuses on scaling laws and diminishing returns ("If you want to get linear improvements, you need exponential resources").

I generally agree with the article's point, though I think "Will Never Happen" is too strong of a conclusion, whereas I don't think the idea that simple components ("a box of inanimate binary switches") fundamentally cannot combine to produce complex behaviour is well-founded.
by skx001 | 2025-12-10 15:32:38+00:00
Yes, it would assuming pension funds have AI/Tech stock exposure.

- A rule of thumb suggested by one study is that every $100 drop in stock market wealth leads, on average, to a $3.20 drop in consumer spending. Under such an assumption, a dotcom-style crash would cut American consumption by about $890bn, or 2.9% of GDP.
by estimator7292 | 2025-12-10 15:32:40+00:00
That's very much not what transcoding is for. You don't want transcoding so a client can render the video in a comfortable resolution. You need transcoding to save bandwidth. If you want the client to do transcoding, you must send them the full raw video file. Either end of the connection may not have enough free bandwidth for that. The client may not be able to teanscode depending on size and format.

You of course, can do this anyway. PeerTube allows you to completely disable transcoding. But again that means you're streaming the full resolution. Your client may not like this.

If realtime performance is your concern I think PeerTube allows you to pre-transcode to disk. If there is a transcoded copy matching the client request, the server streams that direct with no extra transcode.

To answer your question: shifting transcode onto the client won't improve performance and will greatly increase bandwidth requirements in exchange for less compute on the server. You almost certainly do not want this.
by paulddraper | 2025-12-10 15:32:42+00:00
It's (1) a loss of expected value (2) misspent resources.

You spent $X to buy RAM chips, expecting that you could produce $Y with it. But you didn't. So you (1) failed to realize the expected value $Y, and (2) misallocated $X, which in hindsight you would have used differently.

Again, that's all learning that future expectations do not match reality.

The decision/action happened earlier, and is separate from the realization. Attributing the material loss to the realization is misplaced.
by czbond | 2025-12-10 15:32:47+00:00
> (the vast majority of wealth for the non wealthy in the US is someone's primary residence real estate)

But this is not solely on the top 10% to be maligned. We should force everyone to save.... even $5-10/month adds up for the least privileged over time. We force everyone to immediately pay taxes because the money would not be there year end - we should do the same for saving because it is easier than changing human behaviour.

A lack of education at most societal levels to: be taught the impacts of forgoing now for later, think long term, act long term, resist impulse to spend on consumer or ego level goods for societal "approval" or mating.

Home are the primary source of wealth for families because it is forced payment.

It is what a good parent would do - and every person needs a "parent" for some aspect of our lives (we're all bad at something).
by lateforwork | 2025-12-10 15:32:55+00:00
As long as potential feels bigger than reality, investors keep pouring in.

Case in point: The dot-com crash came only after the web matured and reality finally hit the limits of its potential.

By that logic, an AI crash would likely come only once AGI arrives and the true boundaries of its impact become visible. Or, the progress towards AGI seems to stall.
by bluecalm | 2025-12-10 15:32:56+00:00
>>That is how all standard library collections in Rust works

Yeah and that's what not going to work for high performance data structures because you need to embed hooks into the objects - not just put objects into a bigger collection object. Once you think in terms of a collection that contains things you have already lost that specific battle.

Another thing that doesn't work very well in Rust (from my understanding, I tried it very briefly) is using multiple memory allocators which is also needed in high performance code. Zig takes care to make it easy and explicit.
by guywithahat | 2025-12-10 15:32:58+00:00
For those also wondering, here is an actual ranking of the models

https://www.forbes.com/sites/johnkoetsier/2025/11/10/grok-le...

Grok 3 and 4 scored at the bottom, only above gpt-4o, which I find interesting, because there was such big pushback on reddit when they got rid of 4o due to people having emotional attachments to the model. Interestingly the newest models (like gemini 2.5 and gpt 5 did the best.
by bellamoon544 | 2025-12-10 15:33:06+00:00
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by JohnFen | 2025-12-10 15:33:15+00:00
> Personal details of family members will also be required.

This is the more egregious thing in my view. I'm not sure what I'd do if a family member threw me under the bus like that, but I know I'd be absolutely furious for a very long time.

Willingly giving your own information is one thing, but giving someone else's information (in the absence of them providing informed consent) is unforgivable.
by taeric | 2025-12-10 15:34:28+00:00
First, kudos on this. Really cool to play with.

Reminds me of a great video not long ago that went over the main ideas behind weaving and knitting. Feels like you almost certainly have to take some of those ideas in mind when doing a simulation like this. Would be curious to read a breakdown of how this was made and how it incorporates the concepts that go into different fabric.
by lkbm | 2025-12-10 15:34:31+00:00
> Particulates issued from tailpipes can aggravate asthma and heart disease and increase the risk of lung cancer and heart attack. Globally, they are a leading risk factor for premature death.

Minor nitpick, but tailpipes aren't the primary source of emissions. The study is about PM2.5[0]. which will chiefly be tires and brake pads. Modern gasoline engines are relatively clean, outside of CO2, though diesel engines spit out a bunch of bad stuff.

[0] https://www.nature.com/articles/s44407-025-00037-2
by sandworm101 | 2025-12-10 15:34:56+00:00
>> We need to start ensuring our capacity to go from 0-1 on media distribution, not from 10-100 or 100

And a dozen pirate networks stand ready to fill that void at a moment's notice. From oldschool torrent, to cyberlockers, to the dark webs of Tor and FreeNet ... there is an entire ecosystem of hardened video distribution schemes out there. Youtube was aguably born from piracy and fights in the courts to this day. The next thing, whatever replaces youtube, will likely also come from shadows.
by toomuchtodo | 2025-12-10 15:35:22+00:00
60% of Americans cannot meet their basic needs on their income. They simply do not have enough income and cashflow to get exposure to the capital markets. No amount of education fixes a system structured to extract. We took pensions away saying they were unaffordable (they weren't, those contributions just go to shareholders now), took wages away through globalization and more corporate power, and then blame the human as if this was their fault. "Have you tried eating less avocado toast?"

More people crowdfunded for basic needs like food and housing in 2025, GoFundMe reports - https://www.pbs.org/newshour/nation/more-people-crowdfunded-... - December 9th, 2025

Most [bottom 60% of U.S. households] Americans don't earn enough to afford basic costs of living, analysis finds - https://news.ycombinator.com/item?id=44119317 - May 2025
by antonvs | 2025-12-10 15:35:23+00:00
I tend to wonder whether people who make claims like that are confusing intelligence with consciousness. The claim as stated above could be a summary of a certain aspect of the hard problem of consciousness: that it's not clear how one could "coax consciousness out of a box of inanimate binary switches" - but the connection to "intelligence" is dubious. Unless of course one believes that "true" intelligence requires consciousness.
by swiftcoder | 2025-12-10 15:35:32+00:00
> And what did you do with them? Throw them away?

The ones that aged out of running needed software are still sitting in a cabinet somewhere. A couple of the others were killed off when their battery pack swelled, and another didn't survive a local tech's efforts to replace the battery...

With batteries that could be replaced without delaminating the whole device, (and ideally, an open boot loader), I'd be able to make use of most of them.
Show HN: A Chrome extension that auto-replies to tweets using Gemini AI [video]
by Rahulbhati | 2025-12-10 15:35:36+00:00
I built a Chrome extension that uses the free Gemini API to read tweets on your X home feed, generate contextual replies, and post them automatically.

It controls the cursor & keyboard, analyzes each post, writes a reply, and repeats for 15 items. Everything is configurable through a system prompt.

Demo video included. Would appreciate feedback on architecture, limitations, and scaling ideas.
by crazygringo | 2025-12-10 15:35:40+00:00
Right, this result seems meaningless without a human clinician control.

I'd very much like to see clinicians randomly selected from BetterHelp and paid to interact the same way with the LLM patient and judged by the LLM, as the current methodology uses. And see what score they get.

Ideally this should be done blind, I don't know if BetterHelp allows for therapy through a text chat interface? Where the therapist has no idea it's for a study and so isn't trying to "do better" then they would for any average client.

Because while I know a lot of people for whom therapy has been life-changing, I also know of a lot of terrible and even unprofessional therapy experiences.
by LudwigNagasena | 2025-12-10 15:35:46+00:00
It doesn't show that they "struggle". It shows that they don't behave according to modern standards. I wouldn't put much weight into an industry without sensible scientific base that used to classify homosexuality as a disease not so long ago. The external validity of the study is dubious, let's see comparison to no therapy, alternative therapy, standard therapy; and then compare success rates.
by chrsw | 2025-12-10 15:35:53+00:00
Real machine learning research has promise, especially over long time scales.

Imminent AGI/ASI/God-like AI/end of humanity hawks are part of a growing AI cult. The cult leaders are driven by insatiable greed and the gullible cult followers are blinded by hope.

And I say this as a developer who is quite pleased with the progress of coding assistant tools recently.
by hombre_fatal | 2025-12-10 15:36:16+00:00
It’s a trivial claim that people are going to use AI as a therapist. No grumbling is going to stop that.

So it’s sensible that someone out there is evaluating its competence and thinking about a better alternative for these folks than yoloing their worst thoughts into chatgpt.com’s default LLM.

Everyone's hand is being forced by the major AI providers existing.

Even if you were a perfect altruist with a crusade against the idea of people using LLMs for mental health, you could still be forced to dash towards figuring out how to build LLM tools for mental health in your consideration for others.
by ls-a | 2025-12-10 15:36:36+00:00
I never used linux because it was built using C++. Never have I cared what language the product was built it. The Rust community however wants you to use a product just because it's implemented in Rust, or atleast as one of the selling points. For that reason I decided to avoid any product that advertises using Rust as a selling point, as much as I can. Was planning to switch from Mac to a Linux machine, not anymore, I'm happily upgrading my mac.
by ndegruchy | 2025-12-10 15:36:44+00:00
It's always interesting to see how many sharp edges that C, as a language, has still. I know it's a language that eschews a lot of the ergonomics found in more recent languages, but it makes me sad that we're still teaching beginners the poor form these basic operations.

I like C, but it feels like you have to have an unhealthy amount of paranoia to write it well.
by IAmBroom | 2025-12-10 15:37:05+00:00
Wow, you weren't kidding. My impression of the market is outdated!

Japan is facing real inflation in the last 3 years, at rates not seen since the 1990s. https://www.statista.com/statistics/270095/inflation-rate-in...

However, it only owns 3% of US debt; they are the largest non-US holder, but still a marginal holder. Basically, they deseated China for that spot of "Biggest But Still Small US 'Lender'". Both together are dwarfed by pensions, 401ks, and other US buyers and institutions. https://www.visualcapitalist.com/charted-heres-who-owns-u-s-...
by AnotherGoodName | 2025-12-10 15:37:07+00:00
Your criteria is the lack of randomness and determinism by the sound of that.

What if i had an external source of trye randomness? Very easy to add. In fact current ai algorithms have a temperature parameter that can easily utilise true randomness if you want it to.

Would you suddenly change your mind and say ok ‘now it can be AGI!’ because i added a nuclear decay based random number generator to my ai model?
by FpUser | 2025-12-10 15:37:14+00:00
My current project is C++ backend. I do a lot of debugging but all of it concerns business logic, some scientific calculations and the likes. In this situations having Rust will give me exactly zero benefits. As for "safety". I am a practical man and I pay my own money for development. Being able to use modern C++ I have forgotten when was the last time I had any memory related issue. My backends run for years serving many customers with no complaints in this department. Does not mean of course they're really really safe but I sleep well ;)