MurphyA/hacker-news huggingface dataset:
by pornel | 2025-12-06 02:02:15+00:00
What's really nice is where you don't need defensive programming in Rust.

If your function gets ownership of, or an exclusive reference to an object, then you know for sure that this reference, for as long as it exists, is the only one in the entire program that can access this object (across all threads, 3rd party libraries, recursion, async, whatever).

References can't be null. Smart pointers can't be null. Not merely "can't" meaning not allowed and may throw or have a dummy value, but just can't. Wherever such type exists, it's already checked (often by construction) that it's valid and can't be null.

If your object's getter lends an immutable reference to its field, then you know the field won't be mutated by the caller (unless you've intentionally allowed mutable "holes" in specific places by explicitly wrapping them in a type that grants such access in a controlled way).

If your object's getter lends a reference, then you know the caller won't keep the reference for longer than the object's lifetime. If the type is not copyable/cloneable, then you know it won't even get copied.

If you make a method that takes ownership of `self`, then you know for sure that the caller won't be able to call any more methods on this object (e.g. `connection.close(); connection.send()` won't compile, `future.then(next)` only needs to support one listener, not an arbitrary number).

If you have a type marked as non-thread safe, then its instances won't be allowed in any thread-spawning functions, and won't be possible to send through channels that cross threads, etc. This is verified globally, across all code including 3rd party libraries and dynamic callbacks, at compile time.
by bickfordb | 2025-12-06 02:02:38+00:00
I'm not an expert in this area but from what I understand what was once novel content spam filtering is not at all novel now, there are easily trainable model strategies (BERT?) that get you to 99%.

A whitelist, auth/contact is ideal for messaging without spam and is more workable with a large federated group that can adopt an evolving open source protocol.
by hamandcheese | 2025-12-06 02:02:50+00:00
The implication here is that the primary goal is to corner the market, not to use the supply. If you aren't going to use them anyways then of course it is silly to pay for them to be finished.

Do you think that's fine, or do you think that implication is wrong and OpenAI does actually plan to deploy 40% of the world's DRAM supply?
by gsf_emergency_6 | 2025-12-06 02:02:55+00:00
You got the gist (tho I hoped all would've explored the Lichtenberg a lil bit as even more relevant to TFA) my bad!

Mainly-- should be/have fleshed out more-- deep convos (every-where but especially in ephemeral settings like HN, with strangers, adversaries, children, across genders, etc-- to address your accusations of a false(?) dichotomy) should be conducted in jokes -- cautiously!

Mechanism is emo-honesty. Practise absolutely needed. That's the paradox you might be looking for?

sorry for the heavy touch in this response :)

I almost found the Lichtenberg quote ..

Truth[s] come from the [minds] of fools and children, satirists [elite,populist,all of the above] etc etc

Thanks Google!

Strangely, it also gave me Cato via Montaigne (technician having convo with politician over millennia?)

Cato, was reproached that he was a hard drinker

[Catonis] Sæpe mero caluisse virtus.

(a gentle prod to serious minds wine is, a nod to "in vino veritas" I guess)

Aside: both Cato and Lichtenberg might be more humorous untranslated Vs Nietzsche, experts/natives could correct me
by Izkata | 2025-12-06 02:03:12+00:00
> In Star Trek the cool technology and AGI like computer is accompanied by a post-scarcity society where fundamental needs are taken care of.

The Star Trek computer doesn't even attempt to show AGI, and Commander Data is the exception, not the rule. Star Trek has largely been anti-AGI for its entire run, for a variety of reasons - dehumanization, unsafe/going unstable, etc.
by johnz | 2025-12-06 02:03:13+00:00
I also worked there for quite some time and always enjoyed walking into that building each morning.

The 9th (top) floor cafeteria was such a nice touch and offered great views up and down the Hudson.

I took this photo[0] from up there of Space Shuttle Enterprise being delivered to the Intrepid in 2012.

[0] https://imgur.com/a/XQpXXzE
by array_key_first | 2025-12-06 02:03:33+00:00
Everyone does an ideological sniff test of everyone they interact with. You don't want to be friends with wackjobs or racists or whatever, because the odds those people suck in other ways is very, very high.

I also hate the framing of "disagreeing" in these discussions. It's perfectly valid to distance yourself from people because you disagree, and this is something you yourself practice on a daily basis. That is just being human.
by pixelpoet | 2025-12-06 02:03:34+00:00
I like how one of the reference links betrays how the article itself was researched, possibly written; HN hides the end of the url, which is "utm_source=chatgpt.com":

> https://www.economist.com/business/2025/11/19/cracks-are-app...

You have to appreciate the irony :)
by Lamprey | 2025-12-06 02:05:40+00:00
That's apples to oranges; your link says they made it exaggerate features on purpose.

"The researchers feed a picture into the artificial neural network, asking it to recognise a feature of it, and modify the picture to emphasise the feature it recognises. That modified picture is then fed back into the network, which is again tasked to recognise features and emphasise them, and so on. Eventually, the feedback loop modifies the picture beyond all recognition."
by Telaneo | 2025-12-06 02:07:21+00:00
Sometimes, I think of how much good could be done with all the money that goes into advertisements. Even if we just put all that money in The Onion's Money Hole™, so all the ads disappear, but nothing else changes, the world would still be a better place. Now imagine how much better public transit systems we could have, or better healthcare, or better social benefits. Even if we just spent all the money on a solid 80 foot golden cock and balls, that would still be a better use of money, since it atleast isn't actively making the world a more hostile place. But no, we can't have nice things.
by swisniewski | 2025-12-06 02:07:38+00:00
Generally with large acquisitions, product integration tends to precede infrastructure integration by years to decades.

Look at GitHub as an example, they were acquired in 2018, and are just migrating to Azure now after 7 years.

Microsoft shipping integrations with GitHub in 20108.

This is definitely the case with several Salesforce acquisitions (early product integration, little, no, or much later infrastructure integration).

So… I predict some level of content integration within a few months.

But infra integration is likely years away.
by teleforce | 2025-12-06 02:08:08+00:00
>RSS is a time saver, not a time waster

To me, this is the best quote of the year, thanks.

>RSS has been traditionally used like an email client rather than a streaming service

This is very similar to batch vs streaming argument where we have lambda, kappa and the latest "batch" is the special case of streaming data architecture. I have a very strong feeling that batch and streaming are the two sides of the same coin. Only by this realization that we can transform Kafka [1].

Perhaps better RSS client can be the killer application of this new unified data oriented batch and streaming architecture or I coined it coin architecture (pardon the pun).

[1] What If We Could Rebuild Kafka from Scratch? (220 comments):

https://news.ycombinator.com/item?id=43790420
by standardUser | 2025-12-06 02:08:13+00:00
Not an expert, but the standout thing about ketamine in particular is that it targets an entirely different neurotransmitter pathway than almost all traditional anxiety and depression meds. Traditionally, people treating serious depression or anxiety rotate through a variety of drugs that all hit same small set of neurotransmitters and settle on the one that works the best/sucks the least.

This is why people get excited about ketamine and psychedelics as therapeutics. Otherwise, we're just sitting around waiting for the next round of "new" drugs that manipulate the same pathways as all the old drugs (and carry much of the same risks).
by terminalshort | 2025-12-06 02:08:24+00:00
Yes, but too slowly to matter. Average person consumes 1.5 liters per day of water, so if you live to 100 that's 55000 liters. At 1 ppt that's 1 ng / liter, or 55 ug over a lifetime. That's multiple orders of magnitude less than one drop of the stuff to your eye.
by jascha_eng | 2025-12-06 02:09:03+00:00
I found this which claims ram market in 2024 was almost 100 billion: https://www.grandviewresearch.com/industry-analysis/random-a...

I assume this includes more than just the raw price of modules but Openai only has 60 billion in funding altogether and was aiming for 20 billion ARR this year. This sounds like they are spending maybe half their money on RAM they never use? That just doesn't add up.
by sgerenser | 2025-12-06 02:10:51+00:00
While it’s true that the U.S. spends way too much on healthcare (more than any other country as you said), the fact that it has a mediocre life expectancy is almost entirely due to things that have little to do with the quality of health care. Much more driving than most other countries resulting in more auto accidents and thus deaths, way more guns resulting in more murders and suicides, etc. Drug overdoses, in particular opiates, are probably the biggest one than can arguably be linked to healthcare.
by toss1 | 2025-12-06 02:11:17+00:00
Yup. Not exactly a move "for the good of the world".

Also consider:

Warehouses of small, high-value items that are fungible and untraceable.

That will create multiple huge targets for a big heist. And they'd best have good eyes on their security people too.

Sounds like something big enough for organized crime to target.
by adzm | 2025-12-06 02:12:38+00:00
I'm well aware of dark shikari. While there are obvious differences technologically and subjectively, on a generational level vp9 and HEVC are both positioned as h264 successors. We all know h264 is brilliant and flexible and very capable. Many companies were looking for an alternative with better licensing; on2's vp8 was Google's first push, but it still lagged behind h264, even though it used many of the same concepts and limitations. Vp9 and HEVC were certainly the next generation and competed with each other directly, really. Among the larger consumer video services, many keep h264 for compatibility, and reserve higher quality or resolutions or frame rates for the newer codecs. tiktok eventually settled on HEVC as its preferred codec, while Instagram used HEVC for a short while before migrating entirely to vp9.

Other developers ran into a ton of issues with licensing HEVC for their own software which is still a complete pain.

Anyway, people are now looking at what's next. VVC came out quite a while ago, and AV1 more recently, but when people are looking for the current sota codec with at least some good support, they end up choosing between the two, realistically. And yeah, VVC has advantages over AV1 and they are very different technically. But the market has pretty loudly spoken that VVC is a hassle no one wants to mess with, and AV1 is quickly becoming the ubiquitous codec with the closest rival VVC offering little to offset the licensing troubles (and lack of hardware support at this point as well)

Anyway, just saying. VVC is a huge pain. HEVC still is a huge pain, and though I prefer it to vp9 and it has much better quality and capabilities, the licensing issue makes it troublesome in so many ways. But the choice almost always comes down to vp9 or HEVC, then AV1 or VVC. Though at this point it might as well be, in order, h264, vp9, HEVC, AV1, and no one really cares about VVC.
by vunderba | 2025-12-06 02:13:07+00:00
My example was unclear. Each of those images on Imgur was generated using independent API calls which means there was no "rolling context/memory".

In other words:

1. Took a personal image of my dog Lily

2. Had NB Pro add a fifth leg using the Gemini API

3. Downloaded image

4. Sent image to BFL Flux2 Pro via the BFL API with the prompt "Place sneakers on all the legs of this animal".

5. Sent image to NB Pro via Gemini API with the prompt "Place sneakers on all the legs of this animal".

So not only was there zero "continual context", it was two entirely different models as well to cover my bases.

EDIT: Added images to the Imgur for the following prompts:

- Place red Dixie solo cups on the ends of every foot on the animal

- Draw a red circle around all the feet on the animal
by energy123 | 2025-12-06 02:13:15+00:00
> Why would people use LLMs for these when a traditional specialized model can do it for much cheaper?

This is not too different from where I see things going. I don't think a monolithic LLM that does everything perfectly is where we'll go. An LLM in a finite-compute universe is never going to be better at weather forecasting than GraphCast. The LLM will have a finite compute budget, and it should prioritize general reasoning, and be capable of calling tools like GraphCast to extend its intelligence into the necessary verticals for solving a problem.

I don't know exactly what that balance will look like however, and the lines between specialist application knowledge and general intelligence is pretty blurred, and what the API boundaries (if any) should be are unclear to me. There's a phenomenon where capabilities in one vertical do help with general reasoning to an extent, so it's not a completely zero-sum tradeoff between specialist expertise and generalist abilities, which makes it difficult to know what to expect.
by OutOfHere | 2025-12-06 02:13:17+00:00
We will know after the drops have been out for over a decade, and actual real-world safety data studies get published.

Meanwhile, Restasis (cyclosporine A) (or a generic) works well, and doesn't have to be applied all day long, just two or three times a day. It does burn the eye initially, but it's not harmful, and the burning goes slowly away over time. It does take a few months to start working.
by pixl97 | 2025-12-06 02:14:15+00:00
> because people felt that they would have to add more planets and they didn’t want to do that

The first exoplanet was detected in 1995, so it seems very unlikely this was the case. We have thousands of detected planets now and are beginning to understand them more than ever.

It is a common categorization problem with any natural phenomena.

Correct, it's called sorites paradox. At the same time when you figure out that Pluto isn't one large object with smaller moons around it, but instead a few larger objects orbiting an external barycenter it stops making sense to treat it like the other planets.
by MomsAVoxell | 2025-12-06 02:14:36+00:00
The Descent 2 levels were indeed 'huge' in a sense, there were vast spaces and tunnels and mazes - and indeed, arenas - in the initial releases of the game, per my own experience, of course. The first days of Descent 2 installs were, for me and my colleagues, really good reasons to go to work. :)

Anyway yeah, 10 polygons per 'mile' seemed about right. The Descent engine, I think, was well exploited in the sense that artistically, few polygons ended up being enough..

I often have flashbacks of the tight, cramped death tunnels and the inevitable race to the Fusion and Gauss Cannons... a colleague once had the Earthshaker warnings in a loop, and it literally immediately changed the room temperature whenever someone called them.

Anyway, apropos classics, in favour. I think these games are pretty much gems.
by thunky | 2025-12-06 02:17:03+00:00
> If you borrow $100 USD from the bank, and pay it off immediately after, it's clear no money was "created" as such

The bank "printed" money by handing out cash that it didn't have. It only had a fraction of it. That new money went free into the world with the same respect any other cash gets. You and I can't pull that off.
by krackers | 2025-12-06 02:17:19+00:00
I think you're confusing AGI for ASI or sentience? The enterprise's computer clearly meets the definition for AGI, in that it can basically do any task the humans require of it (limited only by data, which humans need to go out and gather). Especially consider that it also runs the holodeck.

Unlike modern LLMs it also correctly handles uncertainty, stating when there is insufficient information. However they seem to have made a deliberate effort to restrict/limit the extent of its use for planning and command (no "long-running agentic tasks" in modern parlance), requiring human input/intervention in the loop. This is likely because as you mentioned there is a theme of "losing humanity when you entrust too much to the machine".
by MomsAVoxell | 2025-12-06 02:18:37+00:00
This is evidence that there is a prior element to this 'problem', which is that - in order for Technology to exist, Ethics have to be aligned well enough to deliver, effectively, the result of the technology: a product.

The user, ethically, is another piece of evidence - especially in real time and at huge scale.

So you are so right about the user. The user comes first, the technology second, and when the service of the latter benefits the former, greatly, at scale, the people problems become, well, people solutions - i.e., the user.
by mr_windfrog | 2025-12-06 02:19:51+00:00
If I'm remembering correctly, there was another outage around 10 days ago.

It still surprises me that there are basically no free alternatives comparable to Cloudflare. Putting everything on CF creates a pretty serious single point of failure.

It's strange that in most industries you have at least two major players, like Coke vs. Pepsi or Nike vs. Adidas. But in the CDN/edge space, there doesn't seem to be a real free competitor that matches Cloudflare's feature set.

It feels very unhealthy for the ecosystem. Does anyone know why this is the case?
by defrost | 2025-12-06 02:20:25+00:00
One of the darkest man-made materials is vertically aligned nanotube array (VANTA or VACNT) structures that reflect as low as 0.005% of visible light. Producing these materials is a costly, highly technical process that uses hazardous substances, and the finished products are both fragile and toxic. These ultrablack materials are unsuitable as wearable or everyday textiles that require biocompatibility, breathability, and stretchability. Here, we demonstrate a simple and industrially viable two-step method to fabricate the darkest ultrablack fabric ever reported, which also retains the original integrity of the textile material.
by PearlRiver | 2025-12-06 02:20:25+00:00
I went to see Avatar on a Imax screen. It was already about a month after the release so it was pretty quiet.

But those kinds of movies are rare- and it is expensive. You have to drive and park for half an hour, pay 30 euro for two tickets and ofcourse the drinks. Not something I want to do every week.
by Aurornis | 2025-12-06 02:20:37+00:00
One thing you learn from reading depression papers is that there are a lot of things that supposedly have significant effects on depression according to some papers, but then fail to work when people try them or they’re tested in trials.

The linked paper is pretty obvious AI paper mill content, so I wouldn’t take anything it says as directly true without checking citations. The citation is a meta-analysis so you’d have to check the criteria and the studies.

The most common explanation for the “everything treats depression” result is inclusion of studies that have no control group. The placebo response rate in depression studies is very high as many patients revert to the mean of being not-super-depressed after they are so depressed that they enroll in a study for depression treatments. Paper writers seeking a positive result will abuse this to their benefit by omitting the control group. They’ll collect depressed patients, give them some treatment, and when the average improves they’ll publish a paper saying that the treatment has positive effects in depression. So after reading a lot of papers about depression, you start dismissing claims by default unless you can confirm they came from a properly powered, placebo-controlled, double-blind study.

But hey, if you’re already drinking coffee and enjoying it, continue to enjoy it!
by roadbuster | 2025-12-06 02:20:56+00:00
> The implication here is that the primary goal is to corner the market

You have no evidence of that. Even at face value, the idea of "cornering the market" on a depreciating asset with no long-term value isn't a war strategy, it's flushing money down the toilet. Moreover, there's a credible argument OpenAI wanted to secure capacity in an essential part of their upstream supply chain to ensure stable prices for themselves. That's not "cornering the market," either, it's securing stability for their own growth.

Apple used to buy-up almost all leading-edge semiconductor process capacity from TSMC. It wasn't to resell capacity to everyone else, it was to secure capacity for themselves (particularly for new product launches). Nvidia has been doing the same since the CUDA bubble took off (they have, in effect, two entire fabs worth of leading-edge production just for their GPUs/accelerators). Have they been "cornering" the deep sub-micron foundry market?
by MomsAVoxell | 2025-12-06 02:21:46+00:00
Eat ones own dog-food, or in other words, get the company cooking something great together and sharing the results.

A great company basically opens on its first day and 48 hours later there are a ton of well fed customers who come back, not incidentally, again and again for what they perceive, is great.

But apropos feeding customers, if you can't 'eat your own food' dog or otherwise, why expect the user to want to do it ..

Use it. I agree.
by germandiago | 2025-12-06 02:21:50+00:00
Hello Mr. Peter,

A few I registered a company in Delaware as a foreign company for SaaS business.

I have been unable to complete an organization certificate for my website.

Unfortunately I could not get one since my legal phone is not the way to reach me and they tell me that they cannot change that phone to reach me according to my legal representatives in Delaware.

I need some kind of certificate of good standing or being able to have a verifiable phone and/or email to reach me in a "reliable" way from a third party source.

How could I proceed for this, since I am not knowledgeable of the law in Delaware. Probably I need an attorney and I would be happy if I can be recommended one that could emit such verification.
by rswerve | 2025-12-06 02:21:52+00:00
What a great way to put it. I went looking and it’s from John Berger’s Ways of Seeing.

> The spectator-buyer is meant to envy herself as she will become if she buys the product. She is meant to imagine herself transformed by the product into an object of envy for others, an envy which will then justify her loving herself. One could put this another way: the publicity image steals her love of herself as she is, and offers it back to her for the price of the product.

https://www.ways-of-seeing.com/ch7
by rootusrootus | 2025-12-06 02:22:13+00:00
> buying a car for $60k when other countries, whom you are also competing with, get buy similar cars for $10-20k from China

I'd love to hear your examples of this happening. For $22K you can get a BYD Dolphin Surf in Europe. And that's a pretty small car. What are you paying $60K for in the US that's the same size?

Maybe let's try a different match up. The BYD Atto 3 seems to start around 40K in Europe. It's smaller than a Model Y, and people say it is slightly lower in market position, but close enough. The Model Y starts at around 40K as well.

Are the comparisons between expensive US cars (remember the average is just above 50K, and plenty of perfectly good cars like a Honda Civic can be had for half that) and Chinese cars in China?