skysight-inc/HackerNews huggingface dataset:
>> My colleague Spencer Kornhaber, writing about Ed Sheeran’s new album, surmised that its dull lyrics could’ve been composed by “a neural network trained on Sheeran’s past work.”

Well, technically that is what happened? Besides the "artificial" bit of course.
Price to sales is a more telling comparison here. P/E can appear arbitrarily high/low depending on what the company is optimizing for. A realistic "terminal margin" is pretty similar between like-kind businesses, so you can somewhat assume what it will be in the long run and apply that to projected revenues.

Price to Sales: (TTM revenues)

NVDA: 37x

AMD: 8x

TSLA: 8x

TSM: 7x

AAPL: 7x

GOOG: 6x

QCOM: 3x
The link works fine for me. The quick version is that when gorhill handed the repository over, the new maintainer immediately took actions that didn't exude confidence, so gorhill forked it into uBlock Origin, which he still maintains and is the one you should be using.
As the peer comment points out, functional data structures force you to be deliberate about where/when state changes take place. In particular, they force you to be cognizant of which version of a data structure a particular piece of code is referencing.

Immutable structures can help significantly in reducing race conditions in parallel code, as it is impossible for one thread to modify part of a data structure while another thread is accessing it. Each thread sees a consistent 'version' of the data structure until the code explicitly replaces it with a new version.

Immutability can also help with memory optimizations: A node of one data structure can be safely re-used in another data structure. For example, if you need to retain older versions of a tree, you can share common nodes (this is how GIT encodes version changes).
ANANG, rhythm enough for me.
UX research and design is certainly not my specialty, so this is my "outsider" perspective, purely from my own personal point of view. This is opinion, not the result of research.

I think that generally, UX in software is dismal. Modern software tends to be hard to use, hard to figure out how to do things in, and generally opaque and lacking in discoverability.

I tend to blame the UX field generally for this, as that seems to be where the things leading to this problem have come from.

I disagree with the author, though, in his diagnosis that the issue is a clash between capitalism and UX researchers. I think the issue is that the UX field itself tends to focus on things that don't really matter as much in terms of user experience. There's a huge emphasis on efficiency, for instance, rather than reducing cognitive load, making sure that workflows all follow a common logic, and making things discoverable.

I don't know enough about the field to diagnose anything, but this smells suspiciously like a failure of UX research to focus on the most important things, and UX developers simply follow that research.
> I wouldn’t doubt once they get their ICBM program up if they start improving living standards

i'm not sure where this opinion comes from, i seriously doubt it myself
I often need Android Auto for navigation, and my watch is connected via Bluetooth as well.
Most governments have been disseminating the information in many other media channels along with the internet. Aside from one or two beneficial articles I read about COVID-19 on the web, I don't think I have received any crucial information there.

The internet could have been used as a tool to mobilise people against gross government negligence involved in handling COVID-19 response in many countries, but instead most critical pieces of government response were just consumed as outrage porn they were, in part, written to be.

Overall, I have learned nothing useful about the pandemic from the internet, and I have been consuming a lot of what was on there, reading all the major news outlets and big forums daily like a lot of us. This is not to say that one could not possibly use internet for good in COVID-19, just that it hasn't been used that way, generally.
Amid chaos, Pakistan shut down the internet to little effect
Yes! This is exactly the reason I created it. No more spending 10 minutes to understand something that can be understood in 30 seconds
GANAN. 'They win/they earn' in Spanish. Sadly.
Check out "3D Printing in Zero G" experiments on the ISS for the origin story of space manufacturing:
https://www.nasa.gov/mission_pages/station/research/experime...

The company "Made in Space, Inc" responsible for creating the 3D printer, since acquired by Redwire. https://en.m.wikipedia.org/wiki/Made_In_Space
Have you tested MMS with real-world data? It's perhaps outclassed on evaluation metrics but on real-world data it is not as good as whisper.
LN isn’t even scalable. And even then, the data wouldn’t be saved on-chain which is the main driving point when compared to NFTs on Ethereum which are just links.

On-chain will always have more value compared to inferior ways on L2, similar to how Ethereum L1 NFTs are more valuable than ones created on L2s.
The problem is physics. Not patents.
I'm not sure what you mean by "surveillance system for certificate misissuance". Chrome's SCT auditing has nothing to do with detecting certificate misissuance; just misbehaving logs.
We have to start by assembling in space first. SpaceX's Lunar Starship is a little bit like that. They have to launch tankers to orbit and refill the lander.

I can imagine someone making rockets from multiple separately launched parts that are then assembled in space. It would allow to use well tested rockets to launch smaller parts instead of trying to build a huge rocket at once.
This could be Google's motivation (although note that Google is not actually the market leader right now) but the risk could still be real. Most of the signatories are academics, for one thing, including two who won Turing awards for ML work and another who is the co-author of the standard AI textbook (at least when I was in school).

You can be cynical about corporate motives and still worried. I personally am worried about AI partly because I am very cynical about how corporations will use it, and I don't really want my atoms to be ground up to add storage bits for the number that once represented Microsoft's market cap or whatever.

But even cynicism doesn't seem to me to give much reason to worry about regulation of "next to no cost" open source models, though. There's only any chance of regulation being practical if models stay very expensive to make, requiring specialized hardware with a supply chain chokepoint. If personal devices do catch up to the state of the art, then for better or worse regulation is not going to prevent people from using them.
the software I was selling at the construction show in 1991 was essentially about piling up dirt.

The reason I was there to sell it was that my software had a round up / "fudge factor" applied to the models, based on real world experience; where as the competition consistently under estimated things because they used the nice clean textbook formulas.

Just because a machine has a 2.6 yd^2 capacity doesn't mean it will move that much dirt per load. And so on.

Applying back to the original discussion of VR; I expect there's been enough time and enough experience with the things like head mounted displays that there shouldn't need to be much original research into "how to do the optics" of same. I'm ignorant of optics generally (and much else) but there should be textbooks and people arguing over where those are wrong and such; by now. For this specialized purpose even. See the amount of literature on LCD displays by comparison; the basic optics there are known, right?
Who’s fact-checking Wikipedia editors who distort, misinform?
I cringed when I read the 'easily' in OP. Just do it then.
The problem is that government and companies are using (REALLY) bad AI to not have to talk to people and to generally be unreachable. The problem is low-effort spam, and that every last actor in the economy is using that for "customer service".
In hindsight it makes sense. Networked servers need resilience to failure, to keep running, and to make concurrency as painless as possible, especially as CPU cores count increases.

Off the top of my head there's not many languages that can easily handle a million processes on consumer hardware, while the developer only has to think in single threaded mode because deadlocks and data races are literally impossible.

If you're building a server of any kind, the BEAM is the bee's knees. You can always resort to using a sidecar process or a Rust NIF for the high performance hot path.
Lisa’s Final Act: how Apple invented its future by burying its past
The Lisa documentary by The Verge is online now.
Title seems like click bait. Is this an Open Source software?
> I think the FBI's dilemma is "damned if you do, damned if you don't"

It's more "tutted at if you do, damned if you don't", so they are strongly incentivised to do.
Your point is lame and pedantic.
The Race to Dominate the LNG Sector Is Creating a Buyer’s Market
Understanding Metrics, Events, Logs and Traces – Key Pillars of Observability
GAAP earnings basically consider stock based comp as an operational expense and Salesforce does a lot of stock based comp which makes their GAAP earning numbers very low.

Because of this historically Salesforce has traded more reliably as a multiple of its cashflows and currently it trades at around 26x cashflows which is about right if you comp with similar companies. The argument here being that so long as they can grow their cashflows faster than they're diluting them via stock based comp then GAAP earnings aren't all that important since investor's per share cashflows are increasing. Some disagree with this though.

My opinion on this is that all earnings should be taken with a grain of salt since both GAAP and non-GAAP earnings are arguably sanitised accounting numbers and not necessarily a reflection of actual financial results.
I think we can all agree that the classifier is horribly broken.

But it seems like if nobody is working on this, how will we ever fix this gaping hole in image classifiers? And don't we want to fix it? And to fix it, research will continue to get it wrong until they get it less wrong and more right, but can only iterate without a massive backlash. It seems like being stuck between a rock and a hard place.

I am rhetorically asking, wouldn't we have to allow researchers to iterate on this problem to fix it? That simply won't happen until we are able to allow them leeway understanding that this is an incrementally improving model. Otherwise what we have is just a sledgehammer solution (just banning all primate classifications) which actually never addressed the problem, that these models do have a race-based bias (probably in their input datasets.)
I think the big thing in this space was Buffet recently pulling out of TSMC saying he loved the company but thought the tensions made it too risky. I don't know what that puts the odds for a full on invasion of Taiwan at but tensions in the area are definitely impacting real investment decisions.
ah, another Battletech aficionado on the site
Mastering Midjourney: Camera Angles
Nice walkthrough on how to work with camera angels in Midjourney
I noticed this in React and it's also a reason why I didn't like React. Fortunately or unfortunately, I've never had occasion to use React in prod. lol. Can you point me at any of the debates you mentioned so I can catch up?

In Rails this would have been a "partial" with some underscored filename
Another (equally flawed) take on the FBI is that it's main job is serving as the enforcement arm for the organized white-collar crime cartel known as Wall Street. This is supported by the fact that so many FBI executives get lucrative jobs on Wall Street after they retire, and that very few executives are ever prosecuted or investigated for criminal behavior (see 2008 subprime fraud - in contrast, Iceland sent 39 bankers to jail over that).

A nice case example is the HSBC drug cartel laundering scandal, in which HSBC laundered $2 billion in Central/South American drug cartel money and yet noone in that organization ever served prison time for it, due to decisions made by the FBI and the US Justice Department. Indeed, James Comey (later FBI head) got a job as an HSBC consultant.

However, if we didn't have some kind of federal legal enforcement system, then American corporations would start acting like drug cartels, e.g. if Goldman Sachs could steal from JPMorganChase without any consequences, then JPMorganChase might retaliate with violent attacks on GoldmanSachs offices (which is how cartel wars play out in Mexico, and see also alcohol prohibition in the 1920s).

The problem is that the FBI doesn't limit itself to legitimate law enforcement issues, but also tries to manipulate and destroy political movements that are not aligned with the interests of Wall Street, the military-industrial complex, and their corrupt Washington politicians, using illegal surveillance and infiltration tactics, etc., rather like the Gestapo/STASI outfits in German history.
if the user is removed from an user interface by means of abstraction, does that change the nature of the interface?
Interesting that you think it's interesting. If there ever was a place for it, this would be it. I would personally prefer them doing it on their blog than being interrupted in the docs. At least I know what I am getting with the blog.

Where would your preference be for their monetization strategy?
...Norgay (who would have died of asphyxiation if he tried the same)

What makes you think that? Many Sherpas climbed Mt. Everest without supplemental oxygen because of their genetic uniqueness. In fact, one did it even 10 (ten!) times without bottled oxygen. Lot of other Sherpas can do the same.

https://omgnepal.com/ang-rita-sherpa-climbed-everest-10-time...
3rd parties. The libraries are youtube-transcript-api and yt-dlp.
Their language is "Tibetic" : https://en.wikipedia.org/wiki/Tibetic_languages
OTOH they are switching tunes now that Russia is actually warring.

Now they are starting to both-sides Russia.
This is a specious argument. AI is not a species. What drives this need to deify AI?
Non-force push rights to master are the true horror - if noone notices one, that commit gets pulled with no errors or warnings.

Of course MSFT probably requires x code reviews for PR/patch merges.
"the one who said they built a Michelson interferometer in a day in their physics lab"

Maybe you should check with them too: it's possible that they have also built "a" Michelson interferometer (just like Thorlabs kit features one) but maybe their setup was in spite of that insufficient to perform the needed measurements in the way needed for the valid execution of a Michelson-Morley experiment?

Historically, Michelson constructed his first interferometer in 1881 in Potsdam, Germany:

https://arxiv.org/abs/2111.12176

Inventing it was obviously necessary but not sufficient for a valid Michelson-Morley experiment, which was correctly finished only during 1887 in Cleveland, Ohio.
>It's not clear at all that we have an avenue to super intelligence.

All problems in reality are probability problems.

If we don't have a path to superintelligence, then the worst problems just don't manifest themselves.

If we do have a path to super intelligence then the doomsday scenarios are nearly a certainty.

It's not really any different than saying "A supervolcano is unlikely to go off tomorrow, but if a supervolcano does go off tomorrow it is a doomsday scenario".

>We simply don't know how to build a system like that.

You are already a superintelligence when compared to all other intelligences on earth. Evolution didn't need to know how to build a system like that, and yet it still reached this point. And there is not really any to believe humanity is the pinnacle of intelligence, we are our own local maxima of power/communication limitations. An intelligence coupled with evolutionary systems design is much more apt to create 'super-' anything than the random walk alone.
Fine, you shan't need more than an assembler for your CPU architecture.
"nuclear weapons are no big deal actually" is just a wild place to get as a result of arguing against AI risk. Although I guess Eliezer Yudkowsky would agree! (On grounds that nukes won't kill literally everyone while AI will, but still.)
Germany’s solar power generation hit record high at weekend
https://archive.is/02hin
Comically, the most potentially racist aspect (and I agree that having a bad classifier classify people as gorillas isn’t racist) is that Google hasn’t prioritized it enough in 8 years to fix.

And this seems to fall into the sad, overly pervasive racism of people not caring vs the more explicit “a human calling someone a gorilla is racist” category.

But also, it’s not like there’s many people who need to classify gorillas in photos so it likely doesn’t get brought up that much.
Maybe he was just trying to communicate indirectly his dislike for the new album.
I don't think that is a workable solution for your average citizen.
I have not managed to find it either, but based on the comments the issue seems to be with the testing of the algorithm, which contains something like

```
list = [1,2,3,4,5,6 ..., 7999, 8000]
```

i.e. a written out literal, that the swift compiler has trouble type-checking if everything in there is an int.
Human use of AI is an insult to humanity. But that's a human problem, not a problem of the AI technology.
> What drives this need to deify AI

Humans seem to want to deify a lot of things. I think it's in our nature.
The racism comes from the fact non-white people were not properly considered when the model was developed and trained. This comes up time and time again in AI, ranging from face ID that only works on white people, to porn classifiers that associate black people with NSFW images.
Humans are also physically restrained from going certain places, such as crossing the barrier of a striking union.
Hey vryotek, short version: stickiness is not necessary or important. It does use a websocket.

To elaborate a bit, while each LiveView client is indeed associated with a long lived process in the LiveView server, the Phoenix framework provides hooks and other lifecycle management tools to minimize the impact of disconnects from eg blue green server deploys. Most interestingly for example with forms, the "automatic form recovery" does a process where when the reconnect happens it delays re-rendering until the client side has had a chance to send the current form state back to the server and allow it to synchronize.
I just hope there are plenty more!
> we should start with just having access to the source under any terms

Lol. Windows source code has been available under severely-restricted terms, officially for academic purposes, for what, 20 years? It didn't do any good.

I've seen these debates for 25 years by now, they are always the same.
Disclaimer: Not a programmer - I do not have a CS degree. One of my minors as an undergrad was MIS and while I took a database programming course as a senior, my knowledge is limited.

The high-level explanation I recall reading years ago somewhere (Joel on Software, I think??) was that a) Functional programs have no side effects, leading to the notion that b) They can, without much effort, be adapted for parallel tasks.

The example here was MapReduce, which was the original guts of the Google Search algorithm.

E.g, Things are fast because we can send your query to many, many computers to find an answer, and chances are good that that machine is (relatively) close to you, which means low wait times to get your answer.
I think focusing on money misses the point a bit. You can think about "fuzzies" instead, for example if you start a hobby group and people attend, you're bringing value. But if nobody attends, or you run a shop and nobody even walks in, wouldn't you start to suspect that you aren't bringing much value?

Also, people get set in their ways. You should be wary of thinking that you bring value, when you're just following habit. It's quite a trap, especially as you get older. Reevaluate from time to time.
This seems inaccurate. If China will invade (at least 50%), they will definitely do so in the next 10 years or so.

So a reasonable guess based on that assumption would be ~6.5% per year.
Intent WAS a factor here. There was no intent to consider anyone other than white people when the model was trained.
There's no compelling reason to do that with an open source project. A link to someone else's fork and a note on what you're doing is good enough. You don't need to give anyone else the project's brand.
It's sort of incredible how you are willing to twist yourself into knots to advocate for the absence of unit tests.
I suppose this could be an example of Popper’s third world.
Total armchair hero here, even with accountability tyrannical behavior is still persistent, because at the end of the day you still have to go and actively put your hands on people. It's reminiscent of how DRM is always circumvented because it's inherent that the content must at some point finally be revealed, and how immune cells inevitably kill the occasional normal healthy cells.

It's a genuinely unsolved problem from antiquity
For very small interactions, there is no need for a round trip and state held on the server.

Imagine a disappearing burger menu, or a tooltip widget, or a "click here to copy to clipboard" link. For those sprinkles of interactivity, you need JS and Stimulus is ideal for that use case.

I just have my Live View process render

<input type="text" data-controller="copy-on-click" value="..." />

which is easy to understand and plays great with Live View's model.

Don't forget that JS was born for this goal: small snippets of interactive behaviour; it was never meant to be the entire system.
Ask HN: How do data enrichment tools (Apollo, ZoomInfo) acquire their data?
Hello, I've been involved in the development of B2B SaaS solutions, and there are a few providers, such as ZoomInfo, Apollo, and Clearbit, that greatly assist the sales team in gaining a deeper understanding of customers. However, I'm curious about how these businesses obtain such precise data considering the strict regulations like GDPR. Has anyone attempted to create similar companies that offer Data as a Service?
The Founders Playbook: Building Modern HR and People Teams for Growth
May they never do so.
I think your comment more or less summarizes and combines Scott Alexander's 'Meditations on Moloch', and Yuval Noah Harari's 'Sapiens.' Humans were arguably the happiest as hunter-gatherers according to Harari, but those who survived and thrived were those who chose a more convenient and efficient way of living, at the cost of happiness and many other things; you are either forced to participate or get left behind.
> For ex. what do you do if your flight is delayed and you're stuck in the terminal for an additional few hours?

Consume recreation materials like books or movies, work on stuff that you don't care if a state actor sees, or do work purely remotely on a server you control.

> In effect, we are trying to solve a problem with technology that could be better solved with laws limiting powers and adding oversight.

It's going to be a long time, probably not in my lifetime, that we would be able to completely trust any state and have such oversight and regulation. We won't get there the way we are going now. I mean I agree with you, it's a better solution, I just don't see it happening anytime soon.
I agree with most of what you said, except this

> The sad truth is that UIs have gotten gradually prettier

I don't think they've become prettier at all. What they've become is bland and uniform. All basically the same look, apparently trying to be inoffensive rather than beautiful.
When did the government raid the Epstein and other elite peso compounds?
Not to be confused with Brick Breaker. The other brick based clone.
100% agree. Thank you.
Also between jobs / when unemployed / being laid off?