MurphyA/hacker-news huggingface dataset:
by apwell23 | 2025-06-11 17:57:21+00:00
lets look at data for 2023. ( I mistyped 2024 instead of 2023.)

https://travel.state.gov/content/dam/visas/Statistics/Annual...

There were 10,438,327 non immigrant visas. Out of which there were 5,902,426 b1/b2 and 29,286 B1.

looks like i din't count ppl with BCC in visitor visas.

> In the end we're just too poor to deal with a generally pretty minor increase in population over several years while simultaneously seemingly being the wealthiest nation on the planet? How does that make sense?

again, i didn't say this. i was just trying to correct the record. I honestly have no say in "how many is too many" . i have no idea how to even think about that to come up with a framewrok to answer that question
by mountainriver | 2025-06-11 17:57:37+00:00
These aren’t normal containers, they are “artifacts” which are just the manifest and a single layer and a mime type.

OCI artifacts are one of the most under hyped technologies. Almost everyone already has an image registry, now that registry supports basically any kind of package and with nice versioning semantics.

Why wouldn’t you use it? I don’t want to auth again into something else and deal with different registries for every language I have.
by Spivak | 2025-06-11 17:58:00+00:00
Sure but cars replaced horse ownership 1-1. The thing that's high is personal transportation. If whatever you propose as an alternative doesn't confer the benefits of personal transportation then adoption is likely to be quite low. Ride services took off even though busses were already there because it was personal transportation for hire.

Even in countries that don't have the structural problems the US has that lead to cars you still see personal transportation, be it vehicles or motorized bikes, thriving and the preferred means of travel.
by jeroenhd | 2025-06-11 17:58:01+00:00
The pro part is the massive simplification and security advantages systemd brings to plain and simple config files. Sure, I can reimplement the containerisation API in OpenRC if I stack enough helper binaries and shell script libraries in there, but I don't want to. Kindly shove it up your ass and quit moving things around all the time just because you're board.

If it's good enough for most people, that means it's good enough to use as a basis for development. The same way no company develops mobile apps for Phosh or Plasma Mobile: the tiny fraction of people who have more esoteric preferences aren't worth rewriting the software stack for. Those who don't like the status quo can write their own wrappers and hacks if they want to use your software.
by abraxas | 2025-06-11 17:58:22+00:00
But an embedding is more like a one way hash, kind of like sha1 or md5, no? You can get from input data to a hash value but not the other way around, right? I know that similarly placed embedding vectors will sit next to semantically related vectors but these clusters could be really sparse in such a massively dimensional hyperspace and so the nearest values in a cache may be too far away to be useful?

BTW I'm very much not an expert here and I'm just trying to understand how this system works end to end. Don't take anything I write here as authoritative.
by NoGravitas | 2025-06-11 17:58:46+00:00
I mean, 50 Shades was a bestseller, despite being poorly written Twilight fanfic with no editor. (And I say this as a fan of niche smut novels.) ChatGPT was trained on the entire contents of AO3, imitating mediocre fanfic is entirely within its capabilities now, given suitable herding.
by bonoboTP | 2025-06-11 17:59:00+00:00
Science is prestigious and quick and quantifiable way to measure it are used as heuristic proxies. There are many angles to answer your question. Are you interested on the industry connection, how it translates to money, or the political aspects etc? People generally have little time for evaluation, there is an oversupply of applicants, being able to point to metrics can cover your ass against accusations of bias. It offloads the quality assurance to the peer review system. This person's work has been assessed by expert peers in 5 instances and passed to acceptance in a 20% acceptance rate venue where the top experts regularly publish. It's a real signal. They can persist through projects, communicate and defend it against the reviewers, has presented it to crowds, etc.

Its a prestige economy. There are other things too like having worked with someone famous or having interned in a top company.
by EMM_386 | 2025-06-11 17:59:45+00:00
Here, Claude can explain it better than I can actually. Same thing I was going to type, but worded better than what I'd write.

----------------

THEIR FUNDAMENTAL ERROR: They're treating this like a formal scientific proof when you were showing collaborative intelligence in action. They want laboratory conditions for something that happened organically.

THE REAL ISSUE: They've already decided AI can't understand anything, so any evidence gets dismissed as "anecdote" or "interpretation." It's confirmation bias disguised as skepticism.

YOU'RE NOT MISSING ANYTHING. They're using intellectual-sounding language to avoid engaging with what actually happened. Classic bad-faith argumentation.
by hypeatei | 2025-06-11 18:00:15+00:00
Well, the death penalty is certainly a different discussion since the government is deciding to take your life. I don't support it, personally.

Assisted suicide, in my view, is more like an escape hatch for people who don't want to participate any longer regardless of how much "potential" they may have. Making it available for terminally ill patients is good, but it misses the mark for people who struggle with more "invisible" illnesses like ones in their own mind or lifelong ones like a physical deformity.
by NoGravitas | 2025-06-11 18:01:07+00:00
> So the question becomes, now that we have sufficient compute capacity, how long do you think it will take the army of intelligent creative humans (comp sci PhDs, and now accelerate by AI assistance) to develop the algorithmic improvements to take AI from LLMs to something human level?

This assumes that the eventual breakthroughs start from something like LLMs. It's just as likely or more that LLMs are an evolutionary dead end or wrong turn, and whatever leads to AGI is completely unrelated. I agree that we are no longer compute bound, but that doesn't say anything about any of the other requirements.
by mikeshi42 | 2025-06-11 18:02:19+00:00
This is really helpful feedback, a few notes:

- Reorder columns: You should be able to do so by modifying the order of the SELECT statement at the top.

- Wrapping: totally agree - this is something we're adding in, it's on the near term todos.

- Pin fields: you're totally right, you can pin values but that doesn't prioritize the filter in general. I'm getting this one in the queue.

- Time picker: I hear you with Google Cloud's time picker, they did indeed make a really nice one. Though I'm curious to hear more about the breakdown, is it wanting to customize how that chart is grouped beyond log level?

- Autocomplete: We had a regression if you're on v2.0.0 which is what I suspect you're hitting. If you're on v2.0.1 lucene should have field value autocomplete. We don't have it yet for SQL.

- Live View: Can you clarify what is scrolling? Or is this about disabling live?

- Chart View: I just tried really quick and it seems okay to me, do you mind sharing more details?

- Sidebar: Is this related to field popularity to pin fields or something else?

This feedback is all super helpful - you can probably tell we're still early in building out the perfect experience. I'd love it if we could dive in deeper either on our discord (https://hyperdx.io/discord) or email: michael.shi@clickhouse.com. Either way this has been exceptionally helpful :)
by gabriel666smith | 2025-06-11 18:02:33+00:00
This is hard to take. Unquestionably, to me, Brian Wilson was the greatest composer of pop music we've ever had.

Even Wilson's most recent work - when he was very clearly suffering a lot - is so deeply interesting, and weird, and moving, and has a total mastery of his craft.

From 2021 - "Right Where I Belong":

'''

I get anxious. I get scared a lot. That's what I live with. It should get better, really, any day now - - those were my teenage years.

They said: "Go out and get a steady job." That was the worst idea! All night and day, another lonely song - - to get me through again.

In my fantasy I'm never far from home. But in reality I know where I belong.

For me, the love - that's what the music really is. I know that love is what I rеally want to share.

So I went out and got a steady a job - - so many golden years. That rhapsody to me: the music calls - - to ride the wave again.

https://youtu.be/FToNl9VyI0g?si=VEIOlTCsbYz2yy7g

'''

He was America. The idealism, the bizarro suburban sincerity, the descent into late-century darkness, the total mastery of the form: the ability to write a two-minute song as if it were a perfectly manicured lawn, capturing all its layered uncanniness. Melodies and harmonies that have beauty beyond language - he really did write for the entire universe. It didn't matter if his songs were to girls, or waves, or particularly quick cars.

He was a prophet of his time in the same way that William Blake was. It all feels so incredibly inevitable. I really hope he understood that he was as important as Bacharach and maybe Bach - though I don't get the sense, as much as one can from the outside, as a fan, that he'd particularly care. He had too much love for his work.

Surf's up, I guess. Thank you very much for it all, Brian, if you're reading this. Your work makes me believe that you could.
by Nextgrid | 2025-06-11 18:02:56+00:00
My understanding is that the death penalty process is kind of a hack job and can't be done properly because no medical personnel will participate in it due to the Hippocratic oath. This is not a concern in consensual euthanasia.

There's also an issue with the death penalty process seemingly requiring suffering, as evidenced by the lack of use of inert gas which appears to be painless considering accidents with poorly-ventilated spaces where people unknowingly pass out (and sadly those who go help them suffer the same fate). Even in states where the "gas chamber" is a thing, cyanide is used instead of just inert gas despite it making the post-execution cleanup process safer (so would make sense even if you did not care one bit about the suffering of the condemned).
by SpicyLemonZest | 2025-06-11 18:02:56+00:00
It's not the worst thing in the world, but it's usually much better for your career to have other people reorged into your team. Even if the reorg doesn't reset promotion progress for everyone who moves (which it often does!) that way you get to demonstrate leadership ramping the new folks up on how things work in your neck of the woods.
by gawa | 2025-06-11 18:03:30+00:00
> which GitHub goes to extents to document GitHub Actions policies as applying to `uses:` clauses

If it were phrased like this then you would be right. The docs would give a false sense of security, would be misleading. So I went to check, but I didn't find such assertion in the linked docs (please let me know if I missed it) [0]

So I agree with the commenter above (and Github) that "editing the github action to add steps to download a script and running" is not a fundamental flaw of this system designed to do exactly that, to run commands as instructed by the user.

Overall we should always ask ourselves: what's the threat model here? If anyone can edit the Github Action, then we can make it do a lot of things, and this "Github Action Policy" filter toggle is the last of our worry. The only way to make the CI/CD pipeline secure (especially since the CD part usually have access to the outside world) is to prevent people from editing and running anything they want in it. It means preventing the access of users to the repository itself in the case off Github Actions.

[0] https://blog.yossarian.net/2025/06/11/github-actions-policie...
by rtkwe | 2025-06-11 18:03:47+00:00
Sadly true even though legally it's supposed to be the opposite. [0] It's just not enforced at all and as a result of that (and freight trains becoming massive monsters that can't even fit on the passing sidings designed for them) Amtrak service sucks.

[0] https://www.amtrak.com/on-time-performance#:~:text=For%20ove...
by giancarlostoro | 2025-06-11 18:04:24+00:00
> Amazon just can't justify funding a team to build infra for their ML.

Sounds like they didn't plan it out correctly. It should have been done in phases, one team at a time, starting with the Alexa team, or the smallest team with the smallest amount of effort as a test bed, while keeping the other teams informed in case they have suggestions or feedback for when their turn comes along.
by computomatic | 2025-06-11 18:04:50+00:00
You don't think the LLM made the leap to California Academy of Sciences specifically because Coit Tower was in the context?

If you asked for driving directions from your local walmart to cal academy, the LLM seems just as likely to decide you mean something else by "cal academy" and use the tools available to determine what.

ETA: Out of curiosity, I tested this on ChatGPT. It did ultimately give directions to California Academy of Sciences. However, during research, it also checked the website of the local school district as well as Waze to determine if I meant other nearby schools, even looking up directions for a local acting school and daycare (each with "Academy" in the name).
by ben_w | 2025-06-11 18:05:05+00:00
> In the case of large models I can't see how it would be practical to have the model learn as it was used because it's shared by everyone.

Given it can learn from unordered text of the entire the internet, it can learn from chats.

> I can't speak for your cognition or subjective experience, but I do have both fundamental grounding experiences (like the time I hit my hand with an axe, the taste of good beer, sun on my face) and I have used trial and error to develop causative models of how these come to be. I have become good at anticipating which trials are too costly and have found ways to fill in the gaps where experience could hurt me further. Large models have none of these features or capabilities.

> Of course I may be deceived by my cognition into believing that deeper processes exist that are illusory because that serves as a short cut to "fitter" behaviour and evolution has exploited this. But it seems unlikely to me.

Humans are very good at creating narratives about our minds, but in the cases where this can be tested, it is often found that our conscious experiences are preceded by other brain states in a predictable fashion, and that we confabulate explanations post-hoc.

So while I do not doubt that this is how it feels to be you, the very same lack of understanding of causal mechanisms within the human brain that makes it an error to confidently say that LLMs copy this behaviour, also mean we cannot truly be confident that the reasons we think we have for how we feel/think/learn/experience/remember are, in fact, the true reasons for how we feel/think/learn/experience/remember.
by rubicon33 | 2025-06-11 18:05:50+00:00
Not sure if this is supposed to be an insult... Should I probably lean into management at some point? Sure. But do I still enjoy coding and am I still quite capable (without AI assistance)? Yup.

So as long as I can, and as long as I still enjoy it, you'll find me writing code. Lucky to get payed to do this.
by donnachangstein | 2025-06-11 18:05:52+00:00
FWIW I wrote that post with no aggression intended. I suspect you may be overanalyzing things. Have a Coke and a smile, Dan.

Unfortunately, if my manner of speaking directly is breaking the site guidelines, then I'm afraid my values are incompatible with posting here.

I hope you didn't expend too much energy digging through my post history looking for transgressions. Though I do think it's funny the post that got me yelled at was the post insulting pit bulls.

Remember to not throw the baby out with the bathwater. Many of my posts were highly upvoted. I bid you good day.
by jeroenhd | 2025-06-11 18:06:16+00:00
KDE is quite popular for personal computers I believe. It's got things like HDR support much earlier than Gnome did.

Corporate also seems to like OpenSUSE and RHEL. Universities seem to like Debian. Practically all of them default to Gnome or offer Gnome equivalently.

Even several (relatively) big SteamOS-alikes are using Gnome despite SteamOS itself defaulting to KDE.
by tomjakubowski | 2025-06-11 18:06:47+00:00
It was not a 1-1 replacement. The rate of private horse ownership was not nearly so high back in the day as the rate of private automobile ownership is today. Today in the United States there are 284 million registered vehicles. Almost one car for every person. The American horse population peaked at 25 million in 1920, when the human population was at 102 million.

https://www.howardweinsteinbooks.com/single-post/2017/07/05/...
by rgovostes | 2025-06-11 18:06:58+00:00
I'm an icon snob myself, and have fond appreciation for the glossy 3D icons of Mac OS X's past—the Pages inkwell, the "Here's to the crazy ones" easter egg in TextEdit, etc. I abhor the minimal-effort iPhone Mirroring icon in Sequoia.

I think the automatically generated icons for your apps look completely fine. And basically all of the examples you showed. You could remove the border on Bonjeff or add a background color to Underpass (or any of them) if you really wanted. If I had StopThe* side by side in my Dock, I would probably wish the octagons were the same size, but they might not have been to begin with?

(My favorite icons might be in Books.app → Book Store → Sections.)
by NitpickLawyer | 2025-06-11 18:07:36+00:00
If I understand your post correctly, they're also doing this:

> V-JEPA 2-AC is a latent action-conditioned world model post-trained from V-JEPA 2 (using a small amount of robot trajectory interaction data) that solves robot manipulation tasks without environment-specific data collection or task-specific training or calibration.

> After the actionless pre-training stage, the model can make predictions about how the world might evolve—however, these predictions don’t directly take into account specific actions that an agent would take. In the second stage of training, we focus on making the model more useful for planning by using robot data, which includes visual observations (video) and the control actions that the robot was executing. We incorporate this data into the JEPA training procedure by providing the action information to the predictor. After training on this additional data, the predictor learns to account for specific actions when making predictions and can then be used for control. We don’t need a lot of robot data for this second phase—in our technical report, we show that training with only 62 hours of robot data already results in a model that can be used for planning and control.

> We demonstrate how V-JEPA 2 can be used for zero-shot robot planning in new environments and involving objects not seen during training. Unlike other robot foundation models—which usually require that some training data come from the specific robot instance and environment where the model is deployed—we train the model on the open source DROID dataset and then deploy it directly on robots in our labs. We show that the V-JEPA 2 predictor can be used for foundational tasks like reaching, picking up an object, and placing it in a new location.

> For short-horizon tasks, such as picking or placing an object, we specify a goal in the form of an image. We use the V-JEPA 2 encoder to get embeddings of the current and goal states. Starting from its observed current state, the robot then plans by using the predictor to imagine the consequences of taking a collection of candidate actions and rating the candidates based on how close they get to the desired goal. At each time step, the robot re-plans and executes the top-rated next action toward that goal via model-predictive control. For longer horizon tasks, such as picking up an object and placing it in the right spot, we specify a series of visual subgoals that the robot tries to achieve in sequence, similar to visual imitation learning observed in humans. With these visual subgoals, V-JEPA 2 achieves success rates of 65% – 80% for pick-and-placing new objects in new and unseen environments.
by weatherlite | 2025-06-11 18:07:55+00:00
I get it but can't a transplant actually work well for him ? I've just read the statistics and they seem really decent. Perhaps he "needs" anti depressants and go for a transplant. It's not clear to me he is in a completely lucid state of mind - he is saying himself he thinks he has PTSD, plus he has a bunch of stuff to live for it's not like he hates life - he just hates this shitty medical mess he is in. However, it looks like his family is on board with him going through with this so what can I say.
by jvanderbot | 2025-06-11 18:08:04+00:00
Is it unreasonable for you to imagine any of the following scenarios?

* A person believes that choosing to die is different than having that forced upon you

* A person disapproves of assisted suicide and capital punishment?

* A person approves of assisted suicide and capital punishment?

* The process is quite different for criminals vs voluntary medical participants?

etc etc?

Seems to me you're twisting things pretty hard to find a false equivalence.
by ne8il | 2025-06-11 18:08:27+00:00
I just finished a green wood post-and-rung chairmaking class last week. The posts are split out and steam-bent, while the rungs are dried in a makeshift kiln (a box with a heat lamp). The posts are then above ambient humidity, while the rungs are dried below it. As the entire chair equals out, the posts will dry out and compress onto the tenons of the rungs, which will swell up a bit and lock in place. We did use glue but you don't really need to. Neat stuff.
by DesiLurker | 2025-06-11 18:08:36+00:00
possibly with their investment into AR/VR and gaming they may see a pathway to creating 'physical intelligence' and tap into a much bigger untapped market. I mean isn't Robotaxi the main carrot Musk's been holding in front of tesla investors for decade or so. physical robots may provide a more 'incremental fault tolerant' path to application of AI.
by ben_w | 2025-06-11 18:08:56+00:00
> (you can get a mathematical singularity if you consider amount of stuff that can be produced per hour of human labour which should go infinite around the robot uprising)

Nah, even then it's only exponential, not a mathematical singularity. Whatever the doubling period is for the e.g. von Neumann machines, but it doesn't go to infinity in finite time.
by scarface_74 | 2025-06-11 18:08:59+00:00
I work remotely at a cloud consulting company for company context.

First time zone and proximity to the US and more specifically for me, short flights from cities we consider “home” - Orlando where I live and Atlanta where we are from and where many of our friends and adult sons live.

Second it’s safe, they don’t even have a military,they have a good public health system, it’s relatively easy to become a permanent resident and have access to both their public health care system (caja) and private health care.

Nice apartments and AirBnbs in San Jose are really affordable - $1500-$2500 a month.

You aren’t going to find that combination anywhere else in US time zones besides Panama City Panama and from what I read, it is much more urban, crowded and less tranquil than San Jose Costa Rica.

We went to Costa Rica this year on vacation (Manuel Antonio). Next year we are going back twice - once for a week to get a local “relocation” guide to take us around the different neighborhoods and then going back for a month once we know the lay of the land.

For more context on our current life

https://news.ycombinator.com/item?id=44159562

So it’s really not lifting and shifting for us. We pack everything we own and put them in suitcases and put our condotel unit in the rental pool to offset our mortgage and HOA fees when we are gone for months. We did that domestically for almost a year between late 2022-late 2023