MurphyA/hacker-news huggingface dataset:
by JumpCrisscross | 2025-06-06 03:44:13+00:00
> drug companies that are marketing these weight loss drugs switched up their game after their previous cash cow, insulin, ran out of patent protection

Are you disputing GLP-1's efficacy?

> If the article was properly researched then it would have outlined how that lifestyle interventions are preferable to prescription drugs

This would have struck me as CYA filler. We know diet and exercise work. Nobody reading Lancet is confused about that. And if they're reading The Guardian and are confused about that, they're not going to have the ephiphany halfway through a medical opinion.

> plenty of research papers have shown that Mediterranean and whole food, plant based diets (devoid of processed foods and animal products) have had some success at reversing fatty liver disease and enabling patients to obtain a healthy BMI

Compared to GLP-1?

I have a sore throat right now. I'm eating lots of ginger and garlic and foods rich in vitamin C and zinc. (Taken with hot teas.) If it were to progress into serious tonsillitis, I'd be pretty pissed off at the surgeon throwing a honey-lemon tea reference into their briefing.

> the heart of the problem is lifestyle choices. Nobody is selected by a cruel roll of the dice to get metabolic syndrome

Sure. Yes. If people made better decisions in the past we'd have fewer problems today.

In reality we have a lot of people who didn't make good decision in the past. Their bodies are failing. If GLP-1 works, it works. Getting conspiratorial about Big Pharma or butthurt that nobody mentioned feta cheese and hummus isn't useful for the targets of such an article, people thinking about the health of their loved ones as well as the arc of public policy.
by visarga | 2025-06-06 03:44:38+00:00
NYT wants it both ways. When they were the ones putting freelancer articles into a database to rent, they argued against enforcing copyright and for supporting the new industry, and that it was too hard to revert their original assumptions. Now they absolutely love copyright.

https://harvardlawreview.org/blog/2024/04/nyt-v-openai-the-t...
by junto | 2025-06-06 03:46:14+00:00
This is disingenuous from OpenAI.

They are being challenged because NYT believes that ChatGPT was trained with copyrighted data.

NYT naively push to find a way to prove that NYT data is being used in user chats and how often.

OpenAI spin that to NYT are invading user privacy.

It’s quite transparent as to what they are doing here.
by lmeyerov | 2025-06-06 03:46:47+00:00
Interesting. I have been doing a simple man's version of multiple git clone folders and 'docker compose -p'. Making that smoother is attractive, esp if can be made opaque for our more junior teammates.

On one end, I have been curious about getting multiple agents to work on the same branch, but realized I can just wait till they do that natively.

More so, all this feels like a dead end. I think OpenAI and github are right to push to remote development, so these don't matter. Eg, mark up a PR or branch in GitHub, and come back as necessary, and do it all from my phone. If I want an IDE, it can be remote ssh.
by jsnell | 2025-06-06 03:46:52+00:00
> High volume providers get efficiencies that low volume do not

But paid-per-token APIs at negative margins do not provide scaling efficiencies! It's just the provider giving away a scarce resource (compute) for nothing tangible in exchange. Whatever you're able to do with that extra scale, you would have been able to do even better if you hadn't served this traffic.

In contrast, the other things you can use the compute for have a real upside for some part of the genai improvement flywheel:

1. Compute spent on free users gives you training data, allowing the models to be improved faster.

2. Compute spent on training allows the models to be trained, distilled and fine-tuned faster. (Could be e.g. via longer training runs or by being able to run more experiments.)

3. Compute spent on paid inference with positive margins gives you more financial resources to invest.

Why would you intentionally spend your scarce compute on unprofitable inference loads rather than the other three options?

> 2. Growth for growths sake.

That's fair! It could in theory be a "sell $2 for $1" scenario from the frontier labs that are just trying to pump up their revenue numbers to fund-raise from dumb money who don't think to at least check on the unit economics. OpenAI's latest round certainly seemed to be coming from the dumbest money in the world, which would support that.

I have two rebuttals:

First, it doesn't explain Google, who a) aren't trying to raise money, b) aren't breaking out genai revenue in their financials, so pumping up those revenue numbers would not help at all. (We don't even know how much of that revenue is reported under Cloud vs. Services, though I'd note that the margins have been improving for both of those segments.)

Second, I feel that this hypothetical, even if plausible, is trumped by Deepseek publishing their inference cost structure. The margins they claim for the paid traffic are high by any standard, and they're usually one of the cheaper options at their quality level.
by jjkaczor | 2025-06-06 03:47:10+00:00
I have a mother-in-law who has 30-year old electronic gadgets she has no idea what they are for... Image-search turns up no results... (A few are in their original packaging - those are identifiable - but typically useless)

Her box of random cables and "wall-wart" power supplies is huge - puts my old bin to shame... (well, I have since organized my "collection", labelled and sorted everything into many smaller storage bins - sighs... as the story goes, "oh - I no longer need this ancient connector/cable, so I will get rid of it", only to inevitably need it 2-months later, so now I keep them all, but label them...)
by stpn | 2025-06-06 03:48:04+00:00
(post author here)

I was curious about this since it kind of makes sense, but I offer a few reasons why I think this isn't the case:

- In the 10% noise case at least, the second descent eventually finds a minima that's better than the original local minima which suggests to me the model really is finding a better fit rather than just reducing itself to a similar smaller model

- If it were the case, I think we might also expect the error for larger models to converge to the performance of smaller models? But instead they converge lower and better

- I checked the logged gradient histograms I had for a the runs. While I'm still learning how to interpret the results, I didn't see signs of vanishing gradients where dead neurons later in the model prevented earlier layers from learning. Gradients do get smaller over time but that seems expected and we don't have big waves of neurons dying which is what I'd expect to have the larger network converge on the size of the smaller one.
by Lockal | 2025-06-06 03:48:29+00:00
A person from Singapore here. In practice, this changes nothing (from the news standpoint). The most critical applications are already integrated with Play Integrity API. Singpass (ID system) is 100% unavoidable for every long-term visitor and has strict Play Integrity integration (but attacker can select SMS flow and nullify the protection). Banks and all financial organizations require Singpass too, also use Play Integrity in most cases. The biggest bank DBS has extra checks, like "if there is an .apk in Downloads directory, then device is considered as compromised" (and they recently disabled SMS bypass). The most funny case that a similar protection is used in McDonald's app (again, maybe enforced only in specific countries): have something sus on your phone -- no burgers for you! They also have extra checks (i. e. device passes "strong integrity test", but app refuses to work).

Another note: this obviously does not prevent people from having multiple phones, feel free to buy an extra phone and install LineageOS/Gentoo/whatever you want.
by AlotOfReading | 2025-06-06 03:49:22+00:00
Guns, Germs and Steel is a pretty terrible attempt at a theory. The largest East-West band of climatically similar areas isn't Eurasia, it's the Sahel in Africa, which incidentally does have quite a bit of native agriculture, including a plant extremely similar to corn called sorghum. The near east where European agriculture originated was actually a complicated patchwork of microclimates leading up to the neolithic, which cultures like the natufians essentially arbitraged. If we go down that pathway you end up at something like the vertical archipelago model, developed to understand Andean agriculture. Corn also wasn't the first crops domesticated in the Americas. Squashes were, around the same time as the near east was experimenting with vetches (because cereal grains hadn't caught on yet there either).

So on and so forth. Diamond didn't put a lot of effort into making his theory actually fit the evidence, he just wrote an engaging book.
by analog31 | 2025-06-06 03:50:13+00:00
I've adopted a personal rule about "invention," loosely based on the patent system. Claiming to have had an "idea" is not enough. Ideas are a dime a dozen. But a patent requires a coherent description, novelty, and practicability.

And disclosure.

Reduction to practice is where I think the rubber meets the road. This is where you find out if someone actually understands the subject matter well enough to have invented something, and at least has discovered and overcome the major pitfalls. Plus the act of making something work really helps to clarify the idea and demonstrate non-obviousness. And if it can't be reduced to practice, then it's not an invention.

There's nothing wrong with publishing an idea but leaving recognition for inventorship to someone else.
by lucas_membrane | 2025-06-06 03:54:36+00:00
One of the things that may have caused Earhart to underestimate the risk was the high reliability of AM medium wave radio broadcasting in the US over long distances, with over a dozen 50,000 watts and higher clear-channel stations, each serving about half the country reliably just about every night. But short waves (around 7 MHz) in the tropics during daylight with a 50-watt transmitter, and a receiving antenna that you lost on takeoff, is a far different situation. For the trip from Hawaii to the US, their plan was to home in on a powerful AM broadcasting station in Los Angeles, which would rewire its antenna to send most of its power to the west. That might have worked, depending on the time of day.
by whilenot-dev | 2025-06-06 03:55:17+00:00
Privacy in that example would be if no party except you and your friends can access the contents of this interaction. I wouldn't want neither Apple nor my ISP to have that access.

A company like OpenAI that offers a SaaS is no such friend, and in such power dynamics (individual VS company) it's probably in your best interest to have everything public if necessary.
by rafram | 2025-06-06 03:57:08+00:00
Not all anticompetitive practices are illegal, but this isn’t even anticompetitive.

Anticompetitive practices are actions that reduce competitiveness in a market by entrenching your dominance over the (usually smaller) competition.

Not allowing your competitor to buy your product arguably increases competition? It pushes them to improve their own product to be as good as yours.
by xelxebar | 2025-06-06 03:58:24+00:00
Not that I know of, unfortunately. This is, IMHO, the biggest pain point of APL pedagogy at the moment. I'm actually working on some resources, but they're still gestating.

For non-event driven systems, the short story is to organize application state as a global database of inverted tables and progressively normalize them such that short APL expressions carry the domain semantics you want.

For event driven systems, we have token enumeration over state machines, which can be expressed as literal Branches to state blocks.

Granted, the above likely doesn't communicate well unless you're already primed with all the necessary ideas. If you're interested, I'm willing to chat. Email is in my profile description.

source: Current day-to-day is greenfield APL dev.
by TZubiri | 2025-06-06 03:59:43+00:00
You don't NEED to. If a TLD has a bad reputation, like TLDs that sell for less than .COM prices usually have, then you can just block users from those domains entirely.

"Sorry, please use another address".

Odds are you are not missing much from a user@cryptoaicompany.xyz if they couldn't spend 10$ in a decent domain.
by esperent | 2025-06-06 04:00:48+00:00
I got a cheap but very small flat treadmill and put it under my standing desk. It took a bit of fiddling to get the ergonomics right but it worked. I could walk at maybe 3km/h while typing, up to 6km/h while reading.

I used it for about 6 months but it was never not distracting and I eventually gave up. I think it's much more productive to just take breaks and go for a walk/gym/swim and give your mind a break from work. If you want, put a treadmill or stationary bike in your office - or just a yoga mat - and take exercise breaks while listening to something.

On the other hand, it was an interesting experiment and I'm glad I did it. The treadmill only cost $100 so if you already have a standing desk it's not too expensive to try, and maybe it'll click for you. I also think that if you spend a lot of time in video meetings it could work well for that. I was working on a solo project at the time and it's not good for deep focus.
by Teever | 2025-06-06 04:01:15+00:00
Europe has recently introduce a law[0] that allows them to suspend IP protections as a punitive response to coercive economic actions by bad actors.

> The procedure is activated by the European Commission submitting a request to the Council of the European Union.[2] After a period of negotiation with the country performing the coercion, the European Council can decide to implement "response measures" such as customs duties, limiting access to programs and financial markets, and intellectual property rights restrictions.[2][4] These restrictions can be applied to states, companies, or individuals.[4]

[0] https://en.wikipedia.org/wiki/Anti-Coercion_Instrument
by stalkiq | 2025-06-06 04:02:52+00:00
created a media app called lolowind on firebase and moved it to github/vercel open source. The text document that looks similar to a word document is intended to be a blog site where anon people can post text. if you look at the "view" tab it has different categories that people will be able to write in. how do i go about making the pages change smoothly and allow text from anon users? is this possible?
by lmeyerov | 2025-06-06 04:08:48+00:00
I think you ignored both of my points -

1. You just negated a technical statement with... I don't even know what. Engineering opportunities at volume and high skill allow changing the margin in ways low volume and low capitalization provider cannot. Talk to any GPU ML or DC eng and they will rattle off ways here. You can claim these opportunities aren't enough, but you don't seem to be willing to do so.

2. Again, even if tokens are unprofitable at scale (which I doubt), market position means owning a big chunk of the distribution channel for more profitable things. Classic loss leader. Being both the biggest UI + API is super valuable. Eg, now that code as a vertical makes sense, they bought more UI here, and now they can go from token pricing closer to value pricing and fancier schemes - imagine taking on GitHub/Azure/Vercel/... . As each UI and API point takes off, they can devour the smaller players who were building on top to take over the verticals.

Seperately, I do agree, yes, the API case risks becoming (and staying) a dumb pipe if they fail to act on it. But as much as telcos hate their situation, it's nice to be one.
by cosmic_quanta | 2025-06-06 04:09:16+00:00
I learned using the Haskell Programming from First Principles book (haskellbook.com). I don't think it goes into web development, but it certainly goes through the basic project setup.

Do you think you would have benefitted from a resource like the Rust book? I've been toying with the idea of writing something similar and donating it to the Haskell Foundation
by ttiurani | 2025-06-06 04:09:52+00:00
I realized I have aphantasia, not SDAM, just a year ago or so. Mine is mild because I have visual dreams, but just can't get anything going when I'm awake.

I'm now playing around with visualizations just when I'm falling asleep, when I now notice I actually can do it. To me, seeing pictures in my head just feels very odd and kind of pointless.
by landl0rd | 2025-06-06 04:09:57+00:00
Of course I can't even begin trying to prove you wrong. You're making an unfalsifiable statement. You're pointing to the Russel's Teapot of sigint.

It's well-established that the American IC, primarily NSA, collects a lot of metadata about internet traffic. There are some justifications for this and it's less bad in the age of ubiquitous TLS, but it generally sucks. However, legal protections against directly spying on the actual decrypted content of Americans are at least in theory stronger.

Snowden's leaks mentioned the NSA tapping inter-DC links of Google and Yahoo, so I doubt if they had to tap links that there's a ton of voluntary cooperation.

I'd also point out that trying to parse the unabridged prodigious output of the SlopGenerator9000 is a really hard task unless you also use LLMs to do it.
by kstrauser | 2025-06-06 04:10:14+00:00
Deprovisioning is huge. Provisioning is also awfully nice. For example:

1. New employee joins the team.

2. SCIM creates their account in the ticket tracking system.

3. Employee's boss can create onboarding tickets and assign them to the new person before they've even logged into the system.

That's not such a big deal for small companies that don't use a gazillion services. It's huge for large companies with hundreds of vendors where you want everyone in an employee group ("engineering", "sales", "everyone") to have an account in some of those services.
by fastball | 2025-06-06 04:15:42+00:00
Fair, I mentioned how roads are built, but I really meant "the entirety of human wheeled transport is built around human sensing capability". But roads matter too. For example have you ever driven through a small Italian town where there are walls on every side? If I was a LIDAR-equipped human I think I would've been overwhelmed and unable to drive at all. I also would've "sensed" various turns a little too late, as LIDAR happens in a straight line, which can occlude facts about the world that are (more) obvious with vision.

In perfect conditions LIDAR is helpful, but what about the million situations where conditions are not perfect? e.g. what about rain/snow/fog? What about telling the difference between a cardboard box and a metal one? If you want a vehicle that can operate in all conditions and situations on the road today, your vision component needs to be incredibly robust to the point of (possibly) obviating the need for LIDAR.

That $30k figure is actually the lower bound on the current Waymo fleet as it exists today. The $5k figure from the article is the estimated cost per LIDAR sensor (there are 4 on a Waymo vehicle) if you bought them today, which is still $20k total. Additionally the vehicle cited in the article isn't on the road yet, and therefore seems a bit premature to cite as a reference for real-world cost. Imagined future costs are just that, imagined. Those are uninteresting in the same way that Tesla's promises of vision-only capability are uninteresting. What matters is what is actually achieved.

If Waymo achieves the range of driving conditions you can currently operate Tesla FSD, I will be impressed. Likewise if Tesla achieves the safety and consistency per mile that Waymo has, I will be impressed. The question is: which hurdle is higher?
by fc417fc802 | 2025-06-06 04:16:04+00:00
Suppose that you genuinely believe that the majority of HN users suffer from "situational ethics" regarding copyright that work in their favor rather than according to any particular principle. It would remain entirely irrelevant to a discussion about a third party. Absolute best case scenario it's a red herring.

That said the comment you replied to doesn't even seem to make sense in the first place. What does "violation of copyright for financial gain" (alleged, controversial) have to do with "complaining about the specifics of a court order"?
by ethbr1 | 2025-06-06 04:16:22+00:00
It's overattributing to imagine electric cars wouldn't have become popular absent Tesla.

Climate change would have still been discussed. The Paris Agreement would have still happened. China would have looked at its lack of long term oil reserves and pushed to shift away from non-essential consumption.

There are too many incentives to develop a mass market model, so if not Tesla then someone else.
by vunderba | 2025-06-06 04:19:26+00:00
The RTX market is particularly irritating right now, even second-hard 4090s are still going for MSRP if you can find them at all.

Most of the recommendations for this budget AI system are on point - the only thing I'd recommend is more RAM. 32GB is not a lot - particularly if you start to load larger models through formats such as GGUF and want to take advantage of system ram to split the layers at the cost of inference speed. I'd recommend at least 2 x 32GB or even 4 x 32GB if you can swing it budget-wise.

Author mentioned using Claude for recommendations, but another great resource for building machines is PC Part Picker. They'll even show warnings if you try pairing incompatible parts or try to use a PSU that won't supply the minimum recommended power.

https://pcpartpicker.com
by wey-gu | 2025-06-06 04:19:57+00:00
wow, thanks! it should be feasible! and as I recall there are such thing from some databases(chromadb, milvus-lite) in the py-first communities.

we could think big to someday do that within py-pglite project actually.

let me put it as the roadmap of v2(much more work to do!)
by imetatroll | 2025-06-06 04:20:01+00:00
I have very similar problems with remembering "events" that people typically like to share. I have traveled to many memorable places (for those who are able to) but my recollection in terms of details that would move a conversation forward is sparse at best. It is really frustrating to be honest. My memory problem spills into work and tech and makes me wonder if I am going to be able to employ myself for the next 20 years (as I need to) or not. The deluge of details and the constant change ... it is exhausting.
by dragonwriter | 2025-06-06 04:20:23+00:00
That's what they are trying to suggest, because they are still trying to use the GDPR as part of their argument challenging the US court order. (Kind of a longshot to get a US court to agree that the obligation of a US party to preserve evidence related to a suit in US courts under US law filed by another US party is mitigated by European regulations in any case, even if their argument that such preservation would violate obligations that the EU had imposed on them.)
by Spartan-S63 | 2025-06-06 04:20:37+00:00
Namely, it comes from their query builder's API choices. For example, from SeaQuery's README:

```

use sea_query::*;

// For example Character table with column id, character, font_size... pub enum Character { Table, Id, FontId, FontSize, }

// Mapping between Enum variant and its corresponding string value impl Iden for Character { fn unquoted(&self, s: &mut dyn std::fmt::Write) { write!( s, "{}", match self { Self::Table => "character", Self::Id => "id", Self::FontId => "font_id", Self::FontSize => "font_size", } ) .unwrap(); } }

```

The idea that the `Table` is part of the `enum` is an odd choice to me. The `Iden` trait also has an odd shape and use to me, as well.

In theory, the API for SeaORM is something I like, but in practice it feels off and stilted. Still a really cool project and I hope things improve over time, but Rust is going through a lot of growing pains around ORMs and database access.