Altermagnets: The first new type of magnet in nearly a century
newscientist.com
newscientist.com
If I'm reading this right, then the real big benefit of these things would be solid state magnetic storage.
The benefit of these things is they don't create a magnetic field while they do respond to magnetic fields. That means you can pretty tightly pack these things together without concern that they'll interact with each other. A light electric pulse could determine if the bit is a 1 or a zero and a strong pulse would flip the bit.
I'm guessing that due to this nature, these things would actually have pretty long shelf lives and near infinite read/write cycles since you are, effectively, just flipping atoms around and not actually breaking structures or dumping in charge.
These should mostly work with regular silicon manufacturing. The tricky part will be how tightly you can pack these things together before the reading structures start interfering with each other.
Feynman moment. Breaking it down into one sentence. Bravo!
Wouldn't this also enable a much higher resolution and better noise immunity for the entire zoo of industry sensors that are based on the Hall effect?
The idea here is that you can do it in something that is overall neutral.
Didn't we already play this exact scenario out with 3D XPoint? Is there any expectation that this new type of magnet will be able to compete with flash memory on a unit cost basis?
Actually I guess data retention when unpowered was one year or less but still, is that factor ultimately what led to its discontinuation? I doubt it. For long term data retention you're competing with magnetic tape which has a shelf life measured in decades and an impressively low cost per bit.
BTW, I'm assuming you know but spinning disks are magnetic storage and even today are cheaper than flash memory on a unit cost basis. Generally there's a pretty clear tradeoff you make on all of these primarily around price vs performance (durability tends to be secondary until you get to tape storage).
> Actually I guess data retention when unpowered was one year or less but still, is that factor ultimately what led to its discontinuation?
I am unable to find any actual specific numbers for flash or XPoint. There's just a bunch of unsubstantiated rumors ranging from 3 months, to 1 year, to 5 years, to 10 years. The factors that led to discontinuation is the same as for any product - the market for it never materialized and the cost of continued investment wasn't worth it. Even if it was profitable (not sure), there is always still the opportunity cost of investing that money in a higher ROI venture. Of course, this is Intel who continually failed to sustain long-term payoffs and strategic investments.
> durability tends to be secondary until you get to tape storage
> spinning disks are magnetic storage and even today are cheaper than flash memory on a unit cost basis
Presumably not for much longer though. Unless there has been a major upset recently?
> the market for it never materialized and the cost of continued investment wasn't worth it
An entirely empty statement. I was suggesting that unpowered retention time is almost certainly not what led to the failure. The point I'm making is that consumers are impossibly cost conscious in this area.
We already tried the pitch of "clearly technically superior in every metric that matters, but noticeably more expensive" and the market soundly rejected it (much to my eternal dismay). So again I'll ask, is there any reason to expect this new type of magnet to be able to compete with flash memory on a unit cost basis? Because if not I assume it's doomed.
I’m not aware of any major slowdowns for spinning disk capacity as compared to flash.
> Alongside this, we saw the price-per-GB of flash drop towards the level of spinning disk hard disk drives (HDDs) then rebound rapidly as memory manufacturers chased profitability. Meanwhile, the keenest of flash storage advocates predicted the demise of the hard drive and the imminent victory of the all-flash datacentre.
Supply/demand keeps hard drives more expensive because flash is more desirable and thus those vendors are leaving money on the table otherwise. I don’t know what the true manufacturing cost is but spinning disk will always be cheaper purely because of how pricing works.
https://www.computerweekly.com/feature/Storage-technology-ex...
> An entirely empty statement. I was suggesting that unpowered retention time is almost certainly not what led to the failure
As I asked, can you provide any evidence this is the case? This is a bold claim to make vs the more likely boring explanation. I could find no actual claim that they lost data very quickly when unpowered for extended duration.
Also, the unit cost basis does not relate to failure rates so you’re mixing concepts.
> So again I'll ask, is there any reason to expect this new type of magnet to be able to compete with flash memory on a unit cost basis? Because if not I assume it's doomed.
Well by your own statements you clearly seem to think durability is an important make/or/break factor and magnetic tech will have a longer lifetime (both in terms of active MTBF and unpowered storage) as compared with flash, so regardless of the accuracy of that, you’ve already admitted that competition isn’t solely on unit cost basis. Indeed, that’s obviously true or tape storage wouldn’t be around.
Others in this thread have also indicated that they are probably this could reach the same speed of flash with the density of spinning disk which would be competitive for all sorts of reason. And the price point will likely be wherever it makes sense for the manufacturer to become the price/demand curve.
I find it a little annoying that they don't show the actual artwork (although they do link to a page with it[0]), and give a description that does not really capture what the image conveys. Because upon seeing it, it immediately becomes obvious how that might inspire someone who thinks about electromagnetic fields all day. Well, obvious to people with some passing familiarity with electromagnetic fields at least.
I'm assuming copyright got in the way but even then they could have added an equivalent illustration of their own.
[0] https://escherinhetpaleis.nl/en/about-escher/escher-today/ho...
[1] https://www.nga.gov/artworks/54229-horseman (alternate link in case the first one doesn't load)
Seems you can store information at high density in electron spin in materials where spins are naturally organized. However, so far the only suitable materials have been ferromagnets, which have macroscopic magnetic fields that make using them a nightmare. The new altermagnets have suitably organized spins but the atoms alternate their magnetic fields so there is no net magnetism from the material and they are easier to work with.
When there are particular topological textures like skyrmions you do get a spin hall effect which is quantised but in applying currents you also change the magnetisation through something called spin transfer torque.
> What’s more, a trio of researchers at the Beijing Institute of Technology in China realised that you can also create the right internal magnetic disturbances by stacking an antiferromagnet between layers of a different material, like a sandwich.
Does anyone else find it odd that they do not name the authors of the paper[0] that showed the second discovery? (Yichen Liu, Junxi Yu, and Cheng-Cheng Liu, for the record).
[0] https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.13...
* Czech Science Foundation * The Ministry of Education of the Czech Republic * European Research Council * Deutsche Forschungsgemeinschaft (German Research Foundation)
Natural resources v IP resources?
Post-1950 this is unambiguously the United States.
Just what you think the most lucrative is.
[1] https://space.commerce.gov/doc-study-on-economic-benefits-of...
This is a good scientific discovery, if replicated, but the hype drowns out the science.
I would love to have something at modern memory speed, which behaved like core: Turn off the machine, its run-state is frozen. Turn back on, the memory state is still there.
But the reality is that machines are built to DRAM, and DRAM persists as the basic memory model for the "architecture" of a system
> Although other types of magnetism, such as diamagnetism and paramagnetism have been categorized, these describe specific responses to externally applied magnetic fields rather than spontaneous magnetic orderings in materials.
Thank you, _Airplane!_
> In a paper that hasn’t yet been peer-reviewed, he and his colleagues predict the existence of yet another kind of magnetism, which he calls antialtermagnetism.
We shouldn't say "not peer reviewed" because it isn't accurate. Being published in a journal doesn't mean a work is correct nor does it mean peers read it. Putting the paper on ArXiv does mean peers are reviewing it. The point of publishing is to communicate our work to others and journals and conferences can often be harmful to that process, making researchers oversell or even avoid looking in certain directions because a few opinionated peers shoot them down. It's happened to Nobel level works too.
The review process is just fucked up. It might be able to tell you if a paper is wrong but it can't tell you if it has no mistakes or is right. I mean it took two years to confirm this one, right? (Physical validation) but the way we say "hasn't been peer reviewed" implies that if it has been published in a journal then it's factual. That's not how it works and frankly that's not how it should work.
On top of that they take money from the government, gets articles for free, don't pay reviewers (meaning the universities pay for reviewers), and have the audacity to charge people to read that work. It's basically just a scheme to extract government money.
Sorry, I really just hate the publication process. It stifles innovation and wastes so many people's time
Peer review used to mean “some peers have reviewed it”, mainly the editors, who pushed for correctness and novelty. There was a clear difference between publishing and making a paper public. It never meant “it’s right”, but it meant “it has passed basic quality control and it’s worth your time to read it”.
Modern day academics push people to fragment into ever smaller niches, meaning most editors are nowadays completely out of their depth when evaluating papers, so now we keep referring to editor approval as “peer review” and try to diminish the public perception that comes with it.
The reviewers here are the "peers", and generally are expected to be qualified experts in the area that the paper deals with.
> This is not true. In most of the top journals you need at least three other practitioners in your field to read it and sign off on it.
The problem is the word "expert". We're using it to mean different things, and the difference is important. Despite it appearing that way, "expert" is not a binary condition. It is a spectrum. Where along the spectrum requires context to determine the threshold. Ours (xondono, correct me if I misinterpreted), is higher than the one you're using.
Finding appropriate reviewers is a non-trivial task, which is kinda the entire problem. You can have a PhD in machine learning and that does not mean you're qualified to review another machine learning paper. I know, because I've told ACs I'm not qualified for certain works!
The problem is that what is being published is new knowledge. I'll refer to the (very very short) "illustrated guide to a Ph.D." How many people are qualified to determine if that knowledge is new? It's probably a lot fewer than you think. Let's go back to ML. Let's say your PhD and all your work is in Vision Transformers. Does that mean you're qualified to evaluate a paper on diffusion models? Truth is, probably not. Hell, there's been papers I've reviewed where I'm literally 1 of 2 people in the world who are the appropriate reviewers (the other is the main author of the paper we wrote that's being extended).
Hell, most people working on diffusion aren't even qualified to properly evaluate every diffusion paper! Here's a great example, where this work is more on the mathy side of diffusion models and you can look at the reviews[1]. Reviews are 6 (Weak Accept), 9 (Very Strong Accept), 8 (Strong Accept), 8, 6. Reviewer confidence was even low: 2, 4, 3, 3, 4, respectively (out of 5), and confidence is usually over stated.
Mind you, this is the #1 ML conference and these reviews are post rebuttal. There were over 13000 people reviewing that year[2] and they couldn't get people who had 5/5 confidence. This is even for a paper written by 2 top researchers at a top institution...
> The reviewers here are the "peers", and generally are expected to be qualified experts in the area that the paper deals with.
I hope the physical evidence is enough to convince you, because honestly this is quite common and there's a viewing bias. Most of the time we don't have this data for works that were rejected. But there's plenty of works that were accepted that you can see this. Not to mention (as stated in my original comment), multiple extremely influential works (worthy of a Nobel Prize) have been rejected. Here's a pretty famous example, where it had both been rejected for being "too trivial" (twice) as well as "obviously incorrect."[3] Yet, it resulted in a Nobel and is one of the most cited works in the field. Doesn't sound like these reviews helped the paper become better, sounds more like it was just wasting time.
[0] https://matt.might.net/articles/phd-school-in-pictures/
[1] https://openreview.net/forum?id=NnMEadcdyD
[2] https://media.neurips.cc/Conferences/NeurIPS2024/NeurIPS2024...
[3] https://en.wikipedia.org/wiki/The_Market_for_Lemons#Critical...
But no, I don't agree with you in your stringent definition of expert. IF someone is in the general area and is aware of the problem you are trying to solve, that is good enough. E.g. someone who is in machine learning and aware of diffusion, has read papers on it, but has not done work on it themselves, is a good enough of an expert to review a diffusion paper.
These papers are supposed to be written to a general enough academic audience that someone like the above is able to understand and critique your work.
Also, if you are as experienced as you claim to be, you should know that conferences are notorious for having FAR weaker peer review than actual journals. That's why many works used have both a conference version and a larger journal version. For conferences, due to the time limits on review, they often don't have enough qualified papers to review them all. There are also no do overs, if you get an unqualified reviewer you can't request another person.
There are even papers published about the poor quality of conference reviews!
> Also, if you are as experienced as you claim to be, you should know that conferences are notorious for having FAR weaker peer review than actual journals.
While worse at conferences, I are, the fundamental problems are similar. They exacerbate the problems, but it's still the same problems
And please don't be offended. I'm writing to a general audience. I don't know if you have academic experience or not until you tell me. It seems you agree it would not be appropriate for me to assume otherwise
I think it is you who has an ideological axe to grind and is missing the forest for the trees (in this case the practical benefits for the drawbacks). Of course the process isn't perfect. Of course it's a spectrum. That's precisely how journals end up with reputations.
If you don't want to play the reputational game, fine, self publish on your website. Protocols such as ipfs and centralized archives such as arxiv make that easier than ever. But just because you choose to reject a process doesn't mean that it isn't of benefit to other people. And it should go without saying that just because something is of benefit to me (in this case as a reader) doesn't mean that it isn't also flawed in some way.
Who is "we" in this scenario? Because that's certainly not how I've seen peer review work.
The editor would ask a small group of people in the field to act as reviewers and then send them the papers. They review it and send it back with any requests for changes prior to publication.
So they're the peers that are reviewing, not the editor.
> in the early 20th century, "the burden of proof was generally on the opponents rather than the proponents of new ideas.
Ok, maybe that's not what you meant. Peer review doesn't reject papers because they don't agree with the orthodoxy; they reject them because they're not competent. Is that what you were getting at?
> Peer review doesn't reject papers because they don't agree with the orthodoxy; they reject them because they're not competent.
Reviewers can reject for any reason. The system is built on trust, but incentivized to reject. "Not competent" is too vague of a term, just like "not novel."
In my other comment[0] I even reference one of the famous works that got rejected 3 times for being "not competent". This isn't a one-off case here, it is a common occurrence. On several occasions I've had to champion papers which were clearly competent yet my fellow reviewers simply were not familiar with the domain (they admitted this during discussion). I've also killed papers for similar reasons (a very rare event as I strongly bias towards accepting).
So I'm sorry, saying papers are only rejected because they are "not competent" is incredibly naive.
And I'm sorry, but the claim that "works aren't rejected because they don't agree with orthodoxy" is simply laughable. There's a long history of peers rejecting discoveries that upset the norms. This has happened to the majority of well known scientists. I'm not talking about like the Church going after Galileo, I'm talking about things like Galilelo arguing with Tycho Brahe or Christoph Scheiner. Einstein was critical of Bohr. Hertz was critical of Bell. The list goes on and on. The criticism was explicitly about running counter to orthodoxy. This is such a common thread in history that there's even Max Planck stated "Science advances one funeral at a time."
Sure, some valid papers get rejected, but how many bad papers are also rejected? How would it affect the wider scientific community if 1 additional good paper is “approved” and also 100 bad papers? Does good science still make it through eventually, or are these rejected papers losing valuable insights “forever”? What kind of damage can a bad paper cause and how often?
It just seems like it isn’t as clear cut as “the current system is flawed…and the alternative is objectively better” to me.
I know that last part sounds weird, so let me explain with an example[0]. This paper was rejected for plagiarism. What's unique about this case is it is public. ICLR lays it all out. You can click on the names and look at their g-scholar pages or better, DBLP, which allows you to better look at who they co-author with. Maoguo Gong here has almost 30k citations and Qiguang Miao just over 10k. The problem is that were they to publish elsewhere, we wouldn't have this record. So it makes it hard to track. Sure, we can open up rejections in all venues, but at that point we're honestly not too different from what I (and others) am advocating for.
What we're advocating for is something like people directly publishing to OpenReview, where we can have the comments on record, link to GitHub, datasets, or whatever. I'd even go further and allow different formats of publication, like blog style. PDFs are great for some domains but not for others. 8 page limits are great for some topics, but also not for others.
IME, there are very few (by percentage) bad actors in the space. That's much different than the percentage of bad papers, mind you. But there are larger problems that incentivize bad papers. Rushing for deadlines and the publish or perish paradigm are the two most obvious.
Importantly, I think we also need to ask who papers are being written for? IMO, it is incorrect to write them for broader audiences. That is the word of science communicators. Where that line is, I think is very subjective. I'd rather the authors decide who their audience is.
I'm all for better communication, but I've only seen the current system make communication worse, not better. Again, this sounds counterintuitive, so I want to provide another example[1]. This is an egregious case where I think the problem is clear to a wider audience (I don't know your background), but frankly, I see stuff like this happen all the time. Where something simple is convoluted to make it appear more rigorous. One of the reasons I believe this happens is due to the need to get past the gatekeepers. Truth is that most reviewers do not spend much time with most papers. To really understand a paper you tend to need to spend hours with it (it's a lot of work!). Frankly, reviewers like to reject because it makes the job easier[2], and the system incentivizes this. The obscurification doesn't exactly come with malintent, but rather small steps. It can even be something small like adding an unnecessary math equation because a reviewer only glancing through will see math and think it better. Unfortunately, we have to play these mind games while writing papers. Yes, better graphics can help communicate works, but we also don't want to stray so far as to make it a priority. Listen to most researchers about how they review papers (which I tend to differ from). They place a lot of focus on graphics and tables. These are important, but they are also meaningless without context.
The problem is that the system is noisy. What people like me are proposing is that we accept and embrace noise rather than sweep it under the rug. The truth is that the noise cannot be avoided. In science, we specify error in our measurements for the same reason. Error is a measurement of uncertainty. By rejecting uncertainty, you only make your measurements less accurate, not more. That's the root of the issue here.
> and the alternative is objectively better
Most importantly, I think we need to have an open conversation. I'm certain there are better solutions than the one I've proposed (there's ones I even believe, but they take more to explain and build from here). There's so much we haven't even begun to discuss. It's a hard and complex problem, but isn't that what we researchers are trained for?
But the biggest problem right now is that the conversation tends to be shut down with an appeal to tradition. "Don't fix what isn't broken" is a fine policy, but it only goes so far. Unfortunately, the logic tends to more often be used as an excuse to ignore problems. If there are cracks in the system, surely you want to fix it before it breaks, right? I know I'm not alone in believing that the damn looks ready to burst. I'd like to try to avoid that fallout, if possible.
[0] https://openreview.net/forum?id=cIKQp84vqN
[1] https://youtu.be/Pl8BET_K1mc?t=2456
[2] Personally, I don't. I still spend hours with bad papers and will write lengthy reviews. I'm "on their team". I want them to make the best work that they can. The only "easy" reviews are really good papers and really bad papers, the former being exceptionally rare. But this is also why the review process becomes so subjective. It's very hard to define what constitutes very good and very bad. But I don't think I'm "doing my job" if I am just looking to be done with the job. I am "doing my job" by reading the work earnestly and providing the best feedback I can. I'm not going to waste my time, I'm not going to waste the authors' time, and I'm not going to waste the time of the next reviewer down the line that reads it when it gets resubmitted. I'll mention that I've been frequently recognized as an exceptional reviewer. Not to brag, but rather to give evidence to the implicit claim that I have expertise here.
> mainly the editors, who pushed for correctness and novelty.
In the past, many journals published as long as they did not think there were serious errors and were not plagiarized. Editing is completely different, where we want to make sure works are communicated correctly.
But I purposefully didn't say "novelty"
It is a trash word that means nothing. The original intent was that work wasn't redone. That you can't go in and take credit for discovering something someone else did, which we'd cal plagiarism. You could change all the words and still plagiarize.
It is VERY easy to find problems/limitations with works. All works have limitations. All works are incomplete. But are these reasons to reject? Often, no... You see the same thing on HN and it's a classic bias of STEM people. Hyperfixate on the issues. We're trained to, because that's the first step to solving problems! But that's not what matters in publishing, because we're not trying to solve all problems. We do it iteratively! It also runs counter to quickly publishing ("publish or perish") as what, you want to wait to publish till we got a grand theory of everything? And don't get me started on how bad we are at predicting impact of works and how impact often runs counter to the status quo (you can't paradigm shift by maintaining the paradigm). So we don't explore...
AND very frequently, we DO NOT WANT novelty in science. Sounds strange, but it is *critical* to science existing.
- Our goal is to figure out how things work. The causal structure of things. So this means works need to be reproducible. We *want* reproductions, but we also don't want them ad infinitum.
- We *also* want to find other ways to derive the same thing. Some reviewers will consider this novel while others won't, typically inversely related to their expertise in the field (more expert = more likely to consider novel while less expert means you can't see the nuanced differences which are important).
This greatly stifles innovation and reduces how well papers communicate their ideas.
The problem here is as we advance, nuances matter more and more. Think of it as with approximations. Calculating the first order term is usually computationally easy, with computation exponentially increasing as the order of accuracy increases. The nuances start to dominate. But by focusing on "novelty" (rather than plagiarism) we face the exact problem you mention.
> most editors are nowadays completely out of their depth when evaluating papers,
It is a self-inflicted problem. As editors/reviewers we think we're doing right, but we're too dumb to see the minute (but important) differences. As authors we're just trying to get published, keep our jobs, and it's not exactly like the reviewers are "wrong". But it often just becomes a chase and does nothing to help make the papers actually better. This gets even worse with targeted acceptance rates, as it incentivizes reviewers to reject and be less nuanced. Which they're already incentivized to do because there's just so much stress and time crunch to the job anyways (including needing to rewrite papers because others did exactly this).
The targeted acceptance rates are just silly and we see the absurdity in domains like Machine Learning[1]. We have an exponentially increasing number of papers to review each year. This isn't just because there are new works, but because works are being resubmitted. Most of these conferences have 30% acceptance rates but the number of "wrong" papers is not that low. We also know the acceptance rate is very noisy for the majority of papers, where a different set of reviewers would result in a different outcome (see the multiple "NeurIPS experiment"s). You can do an easy model to see why this is bad. It just leads to more papers and if the number of reviewers stays the same, this is more reviews that need to be done per reviewer, which just exacerbates the problem. If you have 1000 fixed papers submitted each year and even a low percent of rejected works resubmitting the next year, like 10%, you actually have to review ~1075 papers. With a more realistic ~50% of rejected works getting recycled, you need to actually review ~1500 per year. Most serious authors will try a few times, and it is a common to say "just keep trying".
We don't have to do this to ourselves... It helps no one, and actually harms everyone. So... why? What are we gaining?
It's just so fucking stupid
/rant (have we even started?)
[0] I'm pretty sure we're going to agree, but we're talking in public and want to make sure we communicate with the public. Tbh, even many scientists think "correctness" is the same as "is correct"
[1] It is extra bad because the primary publishing venue is conferences. To you submit, get a review (usually 3), get to do a rebuttal (often 1 page max), and then the final decision is made. There is no real discussion so you have no real chance to explain things to near-niche experts. Worse with acceptance deadlines and overlapping deadlines between conferences. It is better in other domains since journals have conversations, but some of these problems still exist.
Sorry I don't get what you mean by this. How does putting the paper on ArXiv mean that peers are reviewing it any more than publishing it in a journal? Both do mean that peers have the opportunity to review it, but neither guarantees it, and ArXiv is infinitely easier to upload anything to and never have it even looked at.
My only point is that if you get published in a journal, at least two people have seen it.
I was hoping what was said would be easily interpreted but I was incorrect. I'll revise to "putting on ArXiv doesn't mean peers haven't reviewed it."
For what constitutes "a peer", I describe more here[0]. The definition varies wildly, and it is not an easy problem to determine who is even qualified to review a work. Hell, it can be hard to determine if you yourself are qualified to review a work!
While I advocate for mostly abandoning the journals and conferences (or dramatic restructuring), I won't act like there's no problems with just publishing to ArXiv (or more preferably, OpenReview, since it allows commenting). But the truth is that there's no globally optimal solution to this problem. I just think the benefits outweigh the costs here. Frankly, most authors aren't publishing (posting on ArXiv or whatever) in bad faith. If anything, I think our current system incentivizes bad faith publishing, but that's a larger conversation (coupled with this one but requires talking about a few other factors).
Frankly, we just waste a lot of time and effort for little to no gain (possibly even for losses).
Trying to claim ArXiv papers are "peer reviewed" is utter nonsense. As you correctly point out, the only requirement to being on ArXiv is that someone with an account uploaded it there. There are no requirements that it passes any sort of verification or vetting process whatsoever, let alone having other scientists read and critique it.
There is a very vocal movement these days that is trying to argue that we should do away with the traditional peer review process. Apparently that sometimes includes trying to redefine the very definition of "peer review" as the OP did.
> There is a very vocal movement these days that is trying to argue that we should do away with the ***traditional*** peer review process. Apparently that sometimes includes trying to redefine the very definition of "peer review" as the OP did.
(emphasis my own)
"Peer review" is a very new thing. We're talking really about mid 20th century, with this format not really being common until the 70's. If anything, we're trying to return to the earlier version of the system[0].
The older review system didn't have these concepts of acceptance rates, novelty, and all of that. They would mostly publish if your work was void of errors, did not copy others, or was not essentially a small variation of another work and trying to take credit (I'd still consider this plagiarism).
We're fine with having conversations with reviewers, where we view this all as being "on the same team". A team trying to make the work the best work it can be. What we're not fine with is reviewers being set up as adversaries, who are looking for reasons to reject the works. That just creates perverse incentives.
Really, it's all about addressing the question:
What is the point of publishing?
We're checking the alignment of our current system with our intended goals. Even if we're wrong, I think it is obtuse to be outright dismissive. Should you not even ask the question? I'd argue that not asking the question is anti-scientific. Science requires challenging the status quo. If we don't, innovation slows to a crawl. You cannot rely on those before you having gotten everything right. Use the advantage of hindsight. Trust, but you must also verify (challenge).
[0] We believe that this is the better formulation. Did it have problems? Yes. Can they all be solved? No. Does a global optima exist where all problems can be solved with a different system? Also no. So the belief is that good intentions trying to solve these problems only ended up creating worse ones. The cure was worse than the poison.
> A 2003 editorial in Nature stated that, in the early 20th century, "the burden of proof was generally on the opponents rather than the proponents of new ideas."
> Putting the paper on ArXiv does mean peers are reviewing it.
You can upload a pdf to the ArXiv and not send it to any journal. I think you need an invitation to create an account, but it's 99% like WordPress.
Anybody can create an account on arXiv.[1][2] However, having an account and uploading are different things. Strictly speaking, you have to be endorsed to submit a paper. But some endorsements are granted automatically, based on various criteria. So not everybody has to go explicitly ask people for an endorsement:
arXiv requires that users be endorsed before submitting their first paper to a category.
arXiv may give some people automatic endorsements based on subject area, topic, previous submissions, and academic affiliation. In most cases, automatic endorsement is given to authors from known academic institutions and research facilities.
Generally speaking, the "word on the street" is that it's as simple as "register with a .edu email address and you get auto endorsed, otherwise you don't." But I think the reality is slightly more complex than that. Although the exact details are kept private, probably at least in part to prevent people from gaming the system.
Note that the page encourages you to register with an "institutional" email address, but doesn't specifically say it has to be a .edu one.
arXiv submitters are therefore encouraged to associate an institutional email address, if they have one, with their arXiv account. This will expedite the endorsement process.
> and not send it to any journal.
The main point of my comment is "journal != peers reading the work". Which, of course, you could even say is true about ArXiv (fine to nitpick[0]). You can put on ArXiv and no one will read it or the only people who read it are not peers. You're right that submitting to a journal or conference (nearly) guarantees someone has read the paper.
The thing though is "peer" is weakly defined. I recognize that it is contextually defined, but I'd hope from the context of my comment you can tell that I'm using "peer" to mean "another person well versed in the niche topic of the paper." This is different from "a person well versed in the topic of the paper." The niche matters. I explain more in this comment[1]
Or to put it differently, just because someone read it doesn't mean they /read/ it.
[0] I'll revise the quoted text to "Just because it is on ArXiv doesn't mean peers aren't or haven't reviewed it". Though we can nitpick a little more and say that if there are more than one author on the paper, a peer has been much more likely to have reviewed the work (not all co-authors review the works they are authors on...)
But I'd like to push back against the following.
> the way we say "hasn't been peer reviewed" implies that if it has been published in a journal then it's factual.
I think that's ascribing meaning that isn't actually there. Peer review _does_ tell you something. Certainly not "guaranteed correct" or even "guaranteed high quality" but it is definitely some sort of signal to the reader. Consider that this is nothing more than proactively pointing out that a linked paper which closely resembles work that would typically be affiliated with a journal (a signal gated by an editor) be peer reviewed (another signal) and those reviews possibly made public (yet another signal) does not have any of these signals. That is to say, it's an important disclaimer in order to avoid the appearance of attempting to deceive the audience.
If a nature paper claims a seemingly impossible result I'll most likely spend the time to at least glance through it and see if maybe my preconceptions were mistaken. If something on arxiv looks like nonsense I'm not going to waste any time on it (unless someone else told me it's worth it).
> It's primarily a time saving measure from my perspective.
I'm specifically asking this because there are different perspectives from the inside than the outside. There's a lot of internal problems that the general public isn't going to see. I also do not think papers should be aimed at the public. They should be aimed at other researchers. There are spaces for communicating with the public and it uses very different language. But these papers are supposed to be our communication to one another. We do it in the open. Doing this more openly means no gatekeeping, which putting them behind paywalls is also gatekeeping. But we need a space to talk to one another. The best way to do that is out in the open, mostly because we don't know who we're talking to. But just because it is visible by all doesn't mean everyone is our audience.
> If I come across a paper and it is in a publication that has a track record of publishing shoddy results I am likely to prioritize other works
> If a nature paper
[0] https://news.ycombinator.com/item?id=5906389
[1] https://en.wikipedia.org/wiki/Nature_(journal)#Controversies
[2] https://retractionwatch.com/2024/01/26/springer-nature-journ...
[3] https://retractionwatch.com/2024/11/07/another-springer-natu...
Not to sound uncaring but I'm not losing sleep if someone got his feelings hurt because his groundbreaking paper was rejected by whatever high profile journal. That used to be potentially damaging but these days we have arxiv so you're still the original researcher to make the discovery. Suck it up and resubmit elsewhere. Rejection is an integral part of the job.
To answer your earlier question I am sometimes a researcher and sometimes a layman. There are many reasons to consult the academic literature after all.
> There's so many venues that except those in your specific domain you're probably not going to know what is a reputable venue from one that isn't. It's also not exactly an easy thing to verify.
You are massively overthinking this. If of the last N nonsense results 5% of them were in a given journal you bet I'm going to remember the name and associate it with bullshit. I don't need to "verify" anything it's nothing more than a personal bias regarding a given publication venue. Nonetheless I find it (and quite a few other metrics) useful in rapidly prioritizing a list of hundreds of potentially relevant results when deciding which threads to start pulling on for my current question.
That's a more important question than you might think (at least in my experience) since you generally don't have time to pull on all the threads and ask all the new questions that come up in doing so. It's a multi headed search that generally prioritizes depth so the quality of the commentary and references in the papers that you spend significant time on is of the utmost importance to the end result.
https://en.wikipedia.org/wiki/Altermagnetism
this is an extremely esoteric thing - no net magnetism, but has some possibly-useful properties of atomic spin... useful if you're doing some spintronics, that is. maybe.
"In condensed matter physics, altermagnetism is a type of persistent magnetic state in ideal crystals. Altermagnetic structures are collinear and crystal-symmetry compensated, resulting in zero net magnetisation. Unlike in an ordinary collinear antiferromagnet, another magnetic state with zero net magnetization, the electronic bands in an altermagnet are not Kramers degenerate, but instead depend on the wavevector in a spin-dependent way due to the intrinsic crystal symmetry connecting different magnetic sublattices."
Real crystals have impurities so they are harder to reason about. An ideal crystal is just one where we pretend it's perfect.
> Altermagnetic structures are collinear
The structure is lined up, like the diagrams in the article
> and crystal-symmetry compensated, resulting in zero net magnetisation.
And the alternating lines are symmetrical so they "compensate" for each other and cancel out.
> the electronic bands in an altermagnet are not Kramers degenerate... (etc.)
The spin is different like in the diagram. Ok, that's a bit lame. Anyone else can give a simple but mostly accurate explanation?
> Sell them on the structure. You can talk about it with confidence. Keep it simple. A little something like this, John. Hey. Let me walk you through the Donnelly nut spacing and crack system rim-riding rip configuration. Using a field of half-C sprats, and brass-fitted nickel slits, our bracketed caps, and splay-flexed brace columns vent dampers to dampening hatch depths of one half meter from the damper crown to the spurve plinths. How? Well, we bolster twelve husk nuts to each girldle-jerry, while flex tandems press a task apparatus of ten vertically composited patch-hamplers. Then, pin-flam-fastened pan traps at both maiden-apexes of the jim-joist. A little something like that, Lakeman.
Trecknobabble often makes more sense than Wikipedia, at least within the context of the show.
If you have enough knowledge to understand the article then you don't need it because you understand the field. If you don't it's impenetrable.
Perhaps I'm wrong: are there people out there who learnt something from a Wikipedia page on maths because you fell between the two?
?
Because each half of the net-zero magnet is arranged differently inside the crystal there's still a good way to measure what state it's in. Or something like that, I can see the pretty graph but I don't know what measurement you'd do.
It reminds me of the "new state of matter discovered" kinds of articles that are known to get clicks.
https://trends.google.com/trends/explore?date=all&q=%22new%2...
And also the "vantablack" fad:
https://trends.google.com/trends/explore?date=all&q=vantabla...
Basically, any potential discovery that can barely fit the "new kind of..." usually sounds more impressive than it really is.
This article is full of it.
I'm a programmer with very basic knowledge of magnetism, so, I can't say for sure what the discovery means, or if it is a discovery at all.
Perhaps you should have lead with this.
I also read the response, and it seems to be more general than you give credit. Allow me to interpret. "You probably shouldn't have strong opinions on things you don't have a strong expertise in."
What it tries to do is to provoke me to impostor my way into searching about magnetism and then repeating something that I read. And it failed at that. I'm not here to display any prowess in physics knowledge.
Have you considered you're not the audience?