MurphyA/hacker-news huggingface dataset:
by numpad0 | 2026-01-09 15:36:32+00:00
> I think such device could cost about 60 euros

Making a thing made, shipped and delivered at 60 euros each on credit cards is HARD. 600 is easier. 60m consider it done. I wouldn't want to even make and sell, idk, a lens cap for a camera, at that price, without first owning couple factories running at healthy levels of utilization. Maaaaybe if my customers would be happy with a 3D printed artisanal version of it. But even then it'll technically be delivered at a slight loss.
by yurishimo | 2026-01-09 15:36:35+00:00
That doesn't mean that the price will never return to "normal". All three companies have new fabs being built in America and Europe right now, but they won't be online for a couple of years.

Also, if demand for AI chips continues to be sky high for years and year, the memory that is being developed now will eventually be phased out for new standards (DDR6/7/8???) and the DDR5 from existing products will be stripped and resold by other companies.

Also, if demand continues to stay high, then new companies will enter the market to cut off a slice of that monopoly pie and drive down prices. Supply and demand dictate that prices must go down if supply increases.

Personally, I think the demand will drop off a cliff if/when the AI bubble pops, but we don't know when that will happen. Until then, everyone can enjoy their Steam backlog and wait it out :)
by nonethewiser | 2026-01-09 15:36:52+00:00
50 days one way? Some research shows it was £85 vs. £200-£400 for a one-way plane ticket. What is the use case for this?

I guess:

- very motivated to go

- plan to stay for a very long time

- absolutely CANNOT afford a plane ticket

- or, afraid of flying

Reminds me of a lot of Amtrack routes in the US. I looked at trips from NYC to Chicago. I thought it would be fun and I needed to get to Chicago. But it was more expensive than flying and like 25 hours. There is just absolutely no reason to travel that way.
by ADCXLAB | 2026-01-09 15:37:58+00:00
Hi HN,

This started as a practical problem.

I kept seeing small businesses try to run WhatsApp campaigns themselves — using tools they didn’t fully understand — and eventually getting their numbers restricted or banned.

So instead of building another automation platform, I built a managed delivery service.

Clients don’t log into dashboards.
They don’t configure workflows.
They don’t touch APIs.

They just provide:
• a consented contact list
• the message they want sent

I handle delivery, pacing, and reporting using WhatsApp Business infrastructure, with conservative limits (currently up to ~10k messages/day).

The goal isn’t maximum scale.
It’s boring reliability and fewer mistakes.

This is still early, but it’s being used by real local businesses who prefer not to operate tools themselves.

Curious if this model makes sense outside my market, or if I’m underestimating how much people actually want self-service tools.

Project: https://whateazy.com

Happy to answer questions or criticism.
by feintruled | 2026-01-09 15:38:14+00:00
Interesting article, though is there really much new there?
Also it discounts the alternative hypothesis of some bright spark acquiring wolf pups and doing it purposefully because that would take 'weeks'. Weeks, you say?

Surely some enterprising hunter-gatherer had sufficient time on their hands. I can't help but think strutting around with a feared predator at your beck and call would have been the ultimate status symbol, and once you saw it would have to be the must have accessory for the self-respecting hunter. Aficionados would no doubt breed their stock amongst themselves to save the hassle of having to abduct more wolf cubs, which would naturally tend to the more suited specimens (friendliness being one trait as you don't want them eating the kids). Once it was realised what an incredible force multiplier they are in hunting and their utility in defence, any time investment would pay for itself many times over.

I find this no less as unlikely as thinking humans would let wolves help themselves to their excess food. Fascinating subject all round, no matter the reason. I hope they can figure out more.
by gradschool | 2026-01-09 15:38:23+00:00
For another example of betrayal, one of the cronies in Katherine the
Great's court always gave a dog to his girlfriends whenever he started
a new relationship. Then if the dog ever greeted some other guy
familiarly, he inferred he was falling out of favor. He probably
learned that trick when someone did it to him, because he would let
the other guy know how he was rumbled before graciously bowing out.
by yencabulator | 2026-01-09 15:38:35+00:00
> Sidenote: I feel like people struggle to internalise that Go errors are just values* and are therefore are wildly flexible, yet not special in any way.

I think it's more they haven't used Go interfaces much.

I think most programming languages these days have errors-are-values, e.g. Rust Result transports a normal value, Python & Javascript exceptions are just values even when they are carried over a wildly different control flow.

(The argument for sum types and exhaustiveness is valid, but most languages don't have those so focusing that critique on Go is misguided. They are nice in Rust.)
by imiric | 2026-01-09 15:38:43+00:00
No, I think you're confused, and doubling down on it, for some reason.

Base models (after pre-training) have zero practical value. They're absolutely useless when it comes to separating signal from noise, using any practical definition of those terms. As you said yourself, their output can be nonsensical, based solely on token probability in the original raw data.

The actual value of LLMs comes after the post-training phase, where the signal is injected into the model from relatively smaller amounts of high quality data. This is the data processed by armies of humans, without which LLMs would be completely worthless.

So whatever capability you think LLMs have to separate signal from noise is exclusively the product of humans. When that job becomes harder, the quality of LLMs will go down. Unless we figure out a way to automate data cleaning/labeling, which seems like an unsolvable problem, or for models to filter it during inference, which is what you're wrongly implying they already do. LLMs could assist humans with cleaning/labeling tasks, but that in itself has many challenges, and is not a solution to the model collapse problem.
by dathinab | 2026-01-09 15:39:21+00:00
I guess it's another case of:

- effective moneytizeability of a lot of AI products seem questionable

- so AI cost strongly subsidized in all kinds of ways

- which is causing all kind of strange dynamics and is very much incompatible with "free market self regulation" (hence why a company long term running by investor money _and_ under-pricing any competition which isn't subsidized is theoretically not legal (in the US). Not that the US seem to care to actually run a functioning self regulating free market, even going back as far as Amazone. Turns out moving "state subsidized" to "subsidized by rich" somehow makes it no longer problematic / anti-free-market /non-liberal ... /s))
by bajirao | 2026-01-09 15:39:31+00:00
A sidenote about this cross-continental trip. Dervla Murphy's book Full Tilt is really good. It talks about her crazy bicycle journey in the middle of winter from Ireland to India. Rest of her books are great as well, but this one is my favorite.

https://www.goodreads.com/book/show/163921.Full_Tilt
by techblueberry | 2026-01-09 15:39:37+00:00
There’s and established set and growing number of deepfake and revenge porn laws. Targeted Harassment is not protected speech.

Also, I imagine intent would come into play. “All I did was post some text, is it my fault grok generated kiddie porn” sounds similar to “all I did was undo the ebrake on my car, how was I know it would roll over onto that person”. If a reasonable person could predict a crime would occur, usually that’s a crime.
by ChiragArya | 2026-01-09 15:40:30+00:00
Alpie enhances deep work by consolidating research, discussions, and collaboration in one location. It maintains shared context over time, facilitates the analysis of documents and web sources with citations, supports real-time collaboration, and allows teams to organise tasks, insights, and outputs without scattering work across multiple tools.

We would be happy to know how you plan to use Alpie day to day.
by naikrovek | 2026-01-09 15:40:41+00:00
Amtrak is not for someone that simply wants to get from A to B. I suspect a 50-day bus trip would be the same.

When I take Amtrak, it’s because I want to look out of a window for a few dozen hours and see something new (to me) every time I look out the window.

It’s probably the bus trip that they want, and not simply “go to India.”
by bitshiftfaced | 2026-01-09 15:41:06+00:00
Contrast this with taking the headline as fact without further scrutinizing it, which happens often. Or, look at the other posts here that are assuming that the cohort was restricted to only those who lost weight.

In an informal conversational context such as a forum, we don't expect every commentator to spend 20 minutes reading through the research. Yet we now have tools that allow us to do just that in less than a minute. It was not long ago that we'd be justified to feel skeptical of these tools, but they've gotten to the point where we'd be justified to believe them in many contexts. I believed it in this case, and this was the right time spent/scrutinization tradeoff for me. You're free to prove the claim wrong. If it was wrong, then I'd agree that it would be good to see where it was wrong.

Probably many people are using the tools and then "covering" before posting. That would be posting it as "fact". That's not what I did, as I made the reader aware of the source of the information and allowed them to judge it. I would argue that it's actually more transparent and authentic to admit from where exactly you're getting the information. It's not like the stakes are that high: the information is public, and anyone can check it. Hacker News understandably might be comparably late to this norm, as its users have a better understanding of the tech and things like how often they hallucinate. But I believe this is the way the wind is blowing.
by ajsnigrutin | 2026-01-09 15:41:32+00:00
You don't need to do it in one trip.

The equivalent of this would be interrailing through europe... travel via train to one country, stay for a few days, travel to next, stay a few days, and continue, all with a single ticket: https://www.interrail.eu/en/interrail-passes/global-pass
by u8080 | 2026-01-09 15:42:07+00:00
I mean, EU has some de-facto BigTech giants like SAP which are on same anti-competitive side. It just happened that US was quicker and more successful in various areas including software.
EU tactics on protectionism is creating legislative framework to apply tariffs to competing imports(i.e. import taxes and quotas(TARIC, etc), ecology-related fees, subsidies for local industries, restricting imports of goods for private citizens by postal limits and others)
by lmeyerov | 2026-01-09 15:42:58+00:00
Yep -- one fun experiment early in the video is showing sonnet 4.5 -> opus 4.5 gave a 20% lift

We do a bit of model-per-task, like most calls are sending targeted & limited context fetches into faster higher-tier models (frontier but no heavy reasoning tokens), and occasional larger data dumps (logs/dataframes) sent into faster-and-cheaper models. Commercially, we're steering folks right now more to openai / azure openai models, but that's not at all inherent. OpenAI, Claude, and Gemini can all be made to perform well here using what the talk goes over.

Some of the discussion earlyish in the talk and Q&A after is on making OSS models production-grade for these kinds of investigation tasks. I find them fun to learn on and encourage homelab experiments, and for copilots, you can get mileage. For more heavy production efforts, I typically do not recommend them for most teams at this time for quality, speed, practicality, and budget reasons if they have the option to go with frontier models. However, some bigger shops are doing it, and I'd be happy to chat how we're approaching quality/speed/cost there (and we're looking for partners on making this easier for everyone!)
by Hnrobert42 | 2026-01-09 15:43:08+00:00
I have friends that take the long haul Amtrak route. One does it for environmental reasons. He also eats discarded food so as not to waste. Great guy. Just a bit of a nut.

Another travels by train with his wife because they are retired and both have knee problems that make sitting in a plane untenable.

But yeah, traveling by train in the US outside the Northeast corridor doesn't make except for unusual circumstances.
by IAmBroom | 2026-01-09 15:43:58+00:00
Interesting. Counterpoint: since the canines can't keep up with the humans, are they only used to start the hunt? How do they know where the humans are near the end?

Until the dog is fully domesticated (OK, I'll go home and await his return. He'll bring me meat!), I don't know how they could cooperate on a many-hour hunt like this.

I used to wonder the same about falconry until I met a hawkmaster. The animals don't take prey far away where they'd be hard to find; they hover or perch near the humans in open fields, where they are trivial to find.

I also wondered why they don't just eat the prey. It's because that involves lots of effort; they know a human will shortly arrive with tasty food that isn't wrapped in tough fur. Basically, they trade a package of hamburger for a Big Mac.
by DELTA-X | 2026-01-09 15:43:59+00:00
I’m sharing a public, audit-ready framework for non-decision-making AI governance.
The core idea is simple: remove interpretation from the machine and anchor systems on structural constraints—traceability, stop-conditions, human sovereignty, and opposability by third parties.

This is not a model, not a product, and not a policy pitch. It’s a procedural corpus designed to be read, tested, challenged, and reused without delegation of decision power.

Full corpus (open, citable, DOI):
https://zenodo.org/records/18190262

I’m interested in feedback from people working on AI safety, compliance, audits, or governance who think structure should dominate interpretation.
by Forgeties79 | 2026-01-09 15:44:27+00:00
Not as wild of a claim as you might think, as opposition to gay marriage falls starkly along political lines in the US. If you are a republican and you support gay marriage, you are in the minority (41%). 12% of democrats oppose it.

> In May 2025, a record-high 88% of Democrats supported same-sex marriage, support from independents stood at 76%, while Republican support dipped back down to 41%

https://en.wikipedia.org/wiki/Public_opinion_of_same-sex_mar...
by hermanzegerman | 2026-01-09 15:44:37+00:00
Except that is wrong, and your article doesn't back up your point

Any product entering the EU market must comply with the EU’s stringent food safety standards, the agreement
does not change that

https://policy.trade.ec.europa.eu/eu-trade-relationships-cou...

You can also read the whole agreement Online

https://policy.trade.ec.europa.eu/eu-trade-relationships-cou...
by kakacik | 2026-01-09 15:44:44+00:00
Road is the destination, thus you arrive a changed man, ready for the Indian sub-universe to experience and mold you further.

And specifically on this, clashing with a very exotic cultures and mindsets along the way, forming unexpected intense interactions and experiences that you will remember for the rest of your life.

I've done a similar thing to this since this specifically wasn't possible anymore without crossing battlefields and risking kidnapping and death - backpacking around India for 6 months together. No real destination or plan, just 1 thick Lonely planet book covering whole country in the backpack (this was 2008 and 2010), return ticket and fixed budget in cash.

Came back a bit different, dare I say in some ways enlightened person. Experience cannot be explained to others by mere words, but other folks who experienced similar understand without a word.
by luke5441 | 2026-01-09 15:45:35+00:00
I don't know details, but my guess is was more the latter.

The problem is that instead of having people assigned to working with Debian to make Debian useful in a government setting, they just did their own fork/distribution.
Yes, the former involves a lot of Debian politics and isn't as fast because other Debian members might insist on proper/more generic solutions.
by ryandrake | 2026-01-09 15:45:42+00:00
30 years ago, one of the things we were all naively hoping for was that a globally connected network would help to reduce the tribalism, obsolete these "American money" and "European bits" and "Chinese protocols" ideas and stop all the cross-border fighting over what's mine and what's yours. When a piece of software has contributors from 50 countries, how could it "belong" to one country? Obviously we are in an even worse spot, global cooperation wise, now than we were in the 90s.
by otter-in-a-suit | 2026-01-09 15:45:51+00:00
I love Kagi. I understand the niche this fills. I even understand not open sourcing it yet.

But what I really miss is a self-hosted sync server. I don't want to use a browser without sync, but I also don't want to trust this data with any 3rd party other than myself.

It's one of the main reasons I'm using Firefox, since that is the the only browser that even vaguely supports this - albeit not well.
by tjr | 2026-01-09 15:46:14+00:00
My time spent with Javascript applications has thus far been pretty brief (working on some aircraft cabin interfaces for a while), but a lot of the time ended up being on testing on numerous different types and sizes of devices, and making tiny tweaks to the CSS to account for as many devices as possible.

This has been a while; perhaps the latest frameworks account for all of that better than they used to. But at that time, I could absolutely see budgeting several days to do what seems like a few hours of work, because of all of the testing and revision.
by __MatrixMan__ | 2026-01-09 15:46:33+00:00
Aren't we talking about the fact that it's not here (on Linux), and some people would like it to be?

The time to thrash against DRM will be when you can't get hardware that boots kernels which were not approved by your government. What we're doing now is trying to prevent that time from coming at all.

Having to watch protected media on a different device is a small price to pay.
by techblueberry | 2026-01-09 15:46:44+00:00
While the guidelines don’t provide a clear definition of what constitutes highly processed foods or how consumers can identify them, they do offer some broad examples at various points, including store-bought “chips, cookies, and candy,” and “white bread, ready-to-eat or packaged breakfast options, flour tortillas, and crackers.”

Trying to write a ten page comprehensive document on “how you should eat” would be a fools errand.

But are chips highly processed? It’s just cut, fried and salted potato right? My morning omelette is more highly processed.

I feel like highly processed has been such a scare term and now the more I think about it, the less it means to me.
by dboreham | 2026-01-09 15:47:01+00:00
I think it's more productive to analyze the adoption (or not) of a technology from the perspective of it being a cult, rather than with strict technical factors. A cult grows as an emergent phenomenon where the conditions on the ground create incentives for new members to join faster than old ones leave.

Through this lens there are actually two cults with two cult rallying cries:

1. The browser is, arguably, a terrible program execution environment. You have to use a stupid language and there's a ton of pretty standard things you can't do (e.g. have proper concurrency). Let's fix that by baking a proper program execution environment into the browser.

2. There are lots of places where someone builds an application (a real application that runs as a process on an OS) that then needs to support some sort of embedded programmability. Historically there have been many ways to do this: embed Lua, embed a Python interpreter, embed a JS interpreter, write the application in a language that inherently supports runtime dynamic binding (Java, Lisp, ...). Let's make a better version of that thing such that it supports all common languages.

My take is that while WASM was developed by people in the #1 cult, it has actually been adopted by people in the #2 cult. I see WASM used all over the place as a way to host user-provided code inside things. Blockchain nodes are a common use case, for example.

Then there's a third use case that I think motivates many of the comments here which is: back in the day we could make an application and distribute it to users who would run it on their computers. That pretty much isn't possible now for various reasons, but primarily because computers are locked down (particularly mobile). If only we could be allowed to run regular code inside the one execution environment that's not locked down (the browser), imagine what we could do then. Problem is that WASM doesn't have all the features necessary for this use case. Experience in the past with similar things (ActiveX, Java, ...) suggests that if it did, it would also become locked down.
by sjw987 | 2026-01-09 15:47:18+00:00
It's amazing that this isn't common sense to most people.

I foresee the overwhelming majority of people on these drugs regaining everything (and maybe even going beyond their original weight), because, just like traditional dieting, they don't actually change their lifestyle. They're just giving their system a shock, which when it goes back into fat storing mode will overcompensate due to the shock of the loss.

The nihilist in me doesn't believe that many people are truly capable of massive lifestyle change. Once you've lived a certain way for 20 or 30 years, any change beyond that is just a fleeting thing. Yo-yo weight loss and gain just proves that. It only becomes a real lifestyle change after many years.
by lmeyerov | 2026-01-09 15:48:34+00:00
Curious what kinds of evals you focus on?

We're finding investigating to be same-but-different to coding. Probably the most close to ours that has a bigger evals community is AI SRE tasks.

Agreed wrt all these things being contextual. The LLM needs to decide whether to trigger tools like self-planning and todo lists, and as the talk gives examples of, which kind of strategies to use with them.
by nike_tuash | 2026-01-09 15:48:46+00:00
Location: Nigeria

Remote: Yes (open to US, Switzerland, Singapore, Canada & EU time zones)

Willing to relocate: Yes

Technologies:
Google Analytics, Google Search Console, SEMrush, Ahrefs, Moz, Answer The Public, WordPress, Wix, Medium, Mailchimp, SendPulse, Bitrix24 CRM, HubSpot, Zoho, Intercom, Salesforce, Asana, Trello, Notion, Google Workspace, Meta Business Suite, Buffer/Hootsuite, Canva, Figma, GoHighLevel, Klaviyo, (willing to learn new software)

Résumé/CV: https://drive.google.com/file/d/1laWgmHMxMETFeosoYgXdSRiLa7H...

Email: oguntuaseolanike@gmail.com
by IAmBroom | 2026-01-09 15:49:32+00:00
Grains aren't very good food until bread is invented (probably from sprouted grains, originally). Seeds are designed to keep their goodness inside, and are very good at that containment. Bread in turn requires cooking. (I wonder now if there was a brief period of surviving on raw sprouted grains... which are far inferior because they mold so quickly.)

Wisdom teeth are far more valuable to a precooking human, who has to chew constantly to break down plant cells. The extra chewing causes stress that induces the jaw to grow longers, allowing space for the wisdome teeth.

We're basically at the "awkward teenage" part of evolving past raw-food diets.