skysight-inc/HackerNews huggingface dataset:
Big time logistical headache. Not only the cost of shipping itself, but then also reimbursing all of the employees for that expense. Then receiving hundreds of units and then having to check them. What are you going to do with these machines? Now spend time to sell them? Store them? By the time you're ramping up hiring, the machines are outdated. Then you need to pay IT to clean them up and refurbish them. And your new employees don't get the dopamine hit from opening a new MacBook and latest hardware.
After the invasion of Ukraine they announced they would be removing sites "associated with Russian disinformation." They haven't provided a definition of what that includes.

Lots of DDG users were upset because this is the type of thing they objected to with Google.
At this point the only people left directly using the infrastructure companies don't care about money. For each of the infrastructure providers, there are many competitive MVNOs with prices plainly on their websites. You should be able to get a regular plan for ~$40/mo, and even a bare bones paygo for $10/3mo.
Dupe of https://news.ycombinator.com/item?id=35706132
> Years for Ubuntu/RedHat, six to twelve months for Fedora

Is there some literature on why this is? I'm curious. Is Fedora more "experimental"?
"Moron" is it? It's true what they say, you know: it's rarely a winning or charming rhetorical move to resort to ad hominem attacks when challenged.
Why assume that's one of DDG's goals?
Thanks for the kind words! Admittedly, a lot of the stuff you're asking about is still a work in progress, and we don't have good answers for it all just yet. The upside of that is you have the potential to influence which direction we take next. If you're thinking about building on top of Malloy, join our community Slack channel, and we'd be happy to provide guidance or take your suggestions/feedback! https://join.slack.com/t/malloy-community/shared_invite/zt-1...
I see. Perhaps I'll give it a try!
If you're susceptible to having plaque build up on your teeth you might want to read this BBC article from last July [1]. I've used the technique they describe with an Oral B middle of the line electric tooth brush (lots of others work too but I'm not sure about the water based versions) and the results are way beyond my expectations. 'Only ten percent of people are brushing their teeth properly.' according to this article.

[1]https://www.bbc.com/future/article/20220718-the-best-way-to-...
JNI Bind – C++ metaprogramming library for JNI
It is very nice to have free alternatives to this kind of software. I wanted to ask because I already use terassect, the most basic feature I want in this type of software is that I want to be able to edit the text on the image I screenshot in order to use it while guiding designers, especially in design. I think teras supports this feature, but I have not seen it actively in any project other than Project Naptha, which is not an actively developed project in this regard. I would like to hear if there is a project you know about this and want to share.
I’m not fond of the provocative title because prompting is easy and only getting easier; the advice seems to be predicated on the use of relatively deficient LLMs. I don’t doubt there will still be operator skill involved, but I anticipate the state of the art for LLMs ability to adapt to “bad” prompts will outpace our ability to learn to prompt them effectively.

Disclaimer: I watched the video but didn’t read the paper.
Loads of people have stated why easy GPU interfaces are difficult to create, but we solve many difficult things all the time.

Ultimately I think CPUs are just satisfactory for the vast vast majority of workloads. Servers rarely come with any GPUs to speak of. The ecosystem around GPUs is unattractive. CPUs have SIMD instructions that can help. There are so many reasons not to use GPUs. By the time anyone seriously considers using GPUs they're, in my imagination, typically seriously starved for performance, and looking to control as much of the execution details as possible. GPU programmers don't want an automagic solution.

So I think the demand for easy GPU interfaces is just very weak, and therefore no effort has taken off. The amount of work needed to make it as easy to use as CPUs is massive, and the only reason anyone would even attempt to take this on is to lock you in to expensive hardware (see CUDA).

For a practical suggestion, have you taken a look at https://arrayfire.com/ ? It can run on both CUDA and OpenCL, and it has C++, Rust and Python bindings.
Video recommendation:

How To Contact The Voyager 2 Probe (https://www.youtube.com/watch?v=FzRP1qdwPKw) and

Pinging The Voyager 2 Probe (https://www.youtube.com/watch?v=1rCrfQUcXDI) by EEVDiscover
+1 For actually attempting to answer the poster's question. Seeing five replies to the effect of "it just can't" was frustrating.
If I commission an artist and give them exacting directions, they are still the artist and copyright owner of the work. They can then assign it to me, but I am not the artist simply because I commissioned the work and gave input.
I have brave search as default but always do a google bang “!g”. I do this for every search but figure I’m giving brave some data on all my searches to help improve it. I guess it’s be better if I clicked a link on their results too for reinforcement learning.
When I worked at AWS there was a similar scenario in eu-west-2. There was a fire in one of the availability zones (AZs). The fire suppression system kicked in and flooded the data center up to ankle or knee height. All the racks were powered off and the building was evacuated for hours (I don't remember the duration of the evacuation) until the water was pumped out.

But for the service team I worked for, our AZ-evacuation story wasn't great at the time and it took us tens of minutes to manually move out of the AZ, but at least there wasn't a customer-visible availability impact. Once we did it was just monitoring and baby-sitting until we got the word to move back in, I think it was 1-2 days later.

If you operate on AWS you work with the assumption that an AZ is a failure domain, and can die at any time. Surprisingly many service teams at AWS still operate services that don't handle AZ failure that well (at the time). But if you operate services in the cloud you have to know what the failure domain is.
This was a helpful paragraph, cheers
Using Supabase on iOS for a Custom Feature Request UI
- EPS $0.31 vs $0.22

- Revenue $127.4 billion vs $124.55 billion

- AWS Net sales: $21.35 billion vs estimated $21.03 billion
So a big spring would be enough to send one out from Phobos, that's neat. You can literally boink people to space.
Back in the old times where humans still worked in an office together, I had milk that had a creamline on it still. I honestly thought the milk went bad and was going to toss it until a lady almost yelled at me to stop me from doing that. She grew up on a farm and told me that this was the mark of high quality milk.

I tasted the creamline. Absolute game changer. Tastes incredible in cereal especially.

Cannot for the life of me find milk like this, even at the high-end grocery stores like Whole Foods. Not like this would matter anyway, since most people can barely afford regular-ass eggs at the moment.
Hi, Brave engineer here,

We're always on the look-out to improve our search ranking. Would you be able to share some of the queries you made that did not return satisfying results? (or use in-page feedback to report them automatically to us). It would be very useful.

Thanks!
Ah ah, similar experience here as well, though through the board game Terraforming Mars.
Yes.

If you browse YouTube on mobile via the Brave browser it blocks all YouTube ads.

I haven't used the YouTube app in a year...
They need to add a Maps tab for easy map viewing on searches

Otherwise, I give their index a B+ compared w/ DDG, Bing, and Google
> which explains why number 4 was basically just a generic lowbrow super-hero movie with none of the sauce of the others.

I dunno, I watched the first one and if you slept through the roughly 30 seconds of plot exposition it was just a guy murdering everybody he set eyes on (and probably some that he didn't even bother to look at). At least with lowbrow superhero movies there's at least a minute of heavy-handed moralizing per hour.
And? The point still stands: what was said simply isn't true, and this is why people come away dissatisfied by desktop Linux, because the people who say x are wrong.

I say this as a Fedora user, and people say it's never had any problems, yet Fedora 35 broke TimeShift for all users. Linux on servers? Great. Linux on desktops? Be honest with people about what the limitations are rather than talking in broad strokes. It's flakey. It's better than it used to be, but it's flakey.

Bold of you to assume I bought one or use one and to attack me for it. Speaks volumes and isn't in the spirit of the HN guidelines, but is absolutely par for the course for HN, and absolutely the typical Linux fanboy retort. By your same logic, people bought an "expensive" OS in the form of Windows 10, which is the topic of discussion.

Furthermore, "expensive" is relative. The accelerator is far cheaper than buying all the pieces of hardware it models in DSP. As tools go, it's cheap in terms of actionable value and resale value.

Linux has its place. It isn't for everybody. Stop pretending it is appropriate for the "majority" of cases when we are talking about people staying on Windows 10 for specific reasons who are likely power users with specific needs in the first place.

Shall we discuss the woeful state of compatibility of Linux with modern laptops where some but not all features work or they don't work well or they don't work consistently? I bought a ThinkPad to get a decent laptop experience with Linux. Even with that said, the dock connector doesn't work, that's a big selling point of buying a ThinkPad.

The reality is that Windows and macOS suits most people better than Linux because their software and hardware works today. Why switch to Linux and get less functionality out of your existing setup?
> This is known as question begging, and it is fallacious.

Actually it is recognizing the following 2 statements.

Statement 1: The judges ruled that Apple broke the law, because of its behavior.

Statement 2: Apple can't keep doing that, if the existing judgement stands.

It sounds like you agree that both of these statements are true!

> Apple is not required to issue contracts, nor even keep the AppStore running.

So then Apple could not keep running an app store, with these provisions.

If they run an App store, then they would be prevented, by law, from doing these unfair competition contracts.

It sounds you agree completely that yes the judge ruled that they broke the law, and that they can't keep doing that, if the judgement stands!
I'd also bet most degree holding SWE's or engineers in the US in general have probably never worked a day in any form of service or physical labor, and likely have few close friends working non-degree jobs. I've run into dozens whose privilege is visible from a mile away with 0 sympathy or understanding of the material conditions of the rest of the US.
Thanks, that's a much more relevant view.

Yes, much more than half of it. But renewables absorbed a visible share of it.
There are laws and rules for copyright, and when you claim copyright, you make a legal claim to the government that those rules apply to yourself and the piece in question. TDIL: When I make legal statements to the government, such as that copyright applies to a work I am submitting, those statements must be true.
Yeah I don't think that's status quo anymore. I didn't know I had it until I was going through my vaccination records and saw it was listed as one of the ones I got when born and then a booster like 2 months later
Ah the siren call of reinforcement learning. I'm experiencing the pain of this right now.

I created a reinforcement learning agent to play Slay the Spire, it's training right now, I can hear my desktop computer running like a heater (why don't I do these things in the winter?). It's not working though.

First, the code is complex and hard to get right. This isn't your typical corporate programming where you shove more and more if-statements into the pile until it mostly works and is good enough. It's super tricky and if the code becomes a mess you have no idea where things went wrong. Numbers go in, numbers comes out, where they went wrong nobody knows.

Second, and worse, the entire time you're building the thing you imagine its going to work and be awesome. And indeed, it might. But then when you actually think you're finished and try it, it doesn't work. Then, as described in the article, all you can do is start randomly fiddling with things, and the feedback loop is like 2 days. And ever in the back of your mind is the idea that if you just let whatever your currently trying run for long enough, it will eventually work, so you hate to pull the plug, even after several days of it not working.

Third, there's no clear signal about how well a model is performing except for real world performance, and that is expensive to obtain and not smooth. My agent keeps dieing to the first boss. Is it improving? I don't know, maybe? The first boss is a pretty big hurdle so I expect it to be stuck there for some time. What about the loss values? Well, the loss is going up and I have no idea whether that's okay or not. The loss is going up while the real world performance is also going up, explain that to me. RL is weird. I wish I could just minimize a loss function like in supervised learning.
AI in the ICU: Researchers develop system to recommend clinical treatments
When I go here: https://openai.com/product/gpt-4 it says "try on chatgpt plus" and sends me to the same page I log in with and that's where I've been testing it.
That stuff is boring. Don’t be a killjoy.
How ChatGPT actually works
Sure, I'd be happy to explain how our malicious website detection system differs from others like VirusTotal and provide more details on our predictions.

Key Differences from VirusTotal:
- Focus: While VirusTotal primarily focuses on detecting malicious files and URLs, our system specifically targets malicious websites. This specialization allows for a more targeted and accurate detection of harmful sites, ensuring users can safely browse the internet.

- Public API Limitations: Our public API has a rate limit of 7 requests per 10 seconds, and it's designed to be usable anywhere, remain free, and become open source soon. In contrast, VirusTotal's public API is limited to 500 requests per day and a rate of 4 requests per minute. Their API cannot be used in commercial products or services, business workflows that don't contribute new files, and creating multiple accounts to overcome limitations is not allowed.

Our system is actually our thesis project, backed by academic research and we're proud of the work we've done so far. In the coming months, as we present our thesis findings, we will be making the entire project open source. This will allow the wider community to contribute to its development, further enhancing the model and its capabilities. Our ultimate goal is to create an amazing model that provides accurate and dependable detection, while also remaining accessible to the public.

Also forgot to mention, and reports we get about false positives / negatives, greatly helps our model!
Dropbox can be at the same time the best solution and nevertheless hard to use, if the other solutions are less powerful or more confusing.
If I ask a painter to paint a picture, and I tell them what I want on the painting down to the finest level, did I paint the picture?
This episode was always my favourite https://youtu.be/462KBuAhncU

It’s a somewhat darker, modern take on the story.
Welcome to sales tactics ;)

Datomic is great but as another commenter said, is good for "small-ish backoffice systems that never has to be web scale". You almost probably can rely on querying history for internal applications. I think their primary market was for companies to use it internally but they never made this clear.
“Is there any CEO better than Satya Nadella?” The “law” is no such thing.
In rural Alabama, ebikes are ineffective.

Distances are large. The rain is heavy and sudden. The humidity is high. The heat is high in the summer and the cold is low in the winter. Obesity is common. Your pecking order in your local society or work can be determined by things like the vehicle you drive or the church you go to, not to mention the aging population who are often too infirm to ride any bicycle regardless of powertrain.

Further, drivers don't treat bicyclists as human beings even in areas where biking is common, so die hard automobilists will most likely accidentally kill dozens of people every year during the transition period.

While the suggestion is admirable, the practical implementation of it is orders of magnitude more than shelling out a few million dollars.
Open Source AI Integration, one module to access ChatGPT, Diffusion, and more
lightning-fast access to the latest deep learning models ChatGPT, Diffusion, Cohere, and more using node.js
I don’t know what you’re trying to say with Borg cells, the point of discussion is not that the network etc are separated, but that they’re physically separated in such a way that these kind of flooding wouldn’t affect different AZs, and that GCP is cutting corners here.

Obviously every cloud vendor recommends replicating data between multiple regions, but fact of the matter is that a lot of cloud services work much easier with redundancy within a single region than multi-region redundancy.
By your first paragraph's argument, the semantics are in the Transformer, not the tokenizer.

And yes, what they do helps on their two test tasks. I'm not disputing that. It's the fact that there's no scholarship here.

There are so many thousands of knobs to twiddle with in a model these days, and they went after one that's commonly regarded in the NLP community as the 'defect'—the only part of the model that's not end-to-end trained along with the rest. Which would be great, if they acknowledged it! But there's no citation to any tokenization literature beyond BPE or SentencePiece. The literature review is as superficial as what you could find in a blog.

There are certainly byte-level or character-level tokenizers (think about CANINE or ByT5), and we can argue back and forth about their data-hungriness or slow inference. It would be nice to give more helpful units to a Transformer, so it doesn't have to learn syllables (or even characters) all on its own. Rebracketing/incorrect segmentation is a problem! And these authors have clued into that, but so have several hundred (or thousand?) researchers they don't cite.

What I'm having trouble with is the notion that this paper uncovered some exciting, revelatory fact about tokenization. Yes, "Japanese Language" would be a reasonable semantic unit! But these authors didn't discover that fact. Nobody's questioning whether 'good tokenization is better than bad tokenization'. Tokenization has seen ongoing attention in NLP forever.

These authors tried one variant, compared it against a library default option (and nothing else), evaluated on one task, put a bit of marketing around it, and called it a day. In the NLP course I used to TA, this wouldn't even qualify as a complete final project for the course.
> Ivy League, wealthy throne

Jerry Springer was born during WWII in London subway station that had been converted to a bomb shelter, to Jewish refugees fleeing Nazis in Poland. He claimed 27 members of his family were killed by Nazis.

Your opinion of his show and his contributions to the culture are yours, and are valid. But to group him into some ivory tower, privileged, "insider" class is disingenuous. His start was about as difficult as any -- fleeing the real, 6-million-Jews-killed Nazis (not today's tv-news "these people we don't like are Nazis"), no wealth or connections, immigrating to a new country. His success (and downfall) in politics was purely his own. Further success in news and then his TV show were again, his own making. He attended good colleges, indeed, but not any Ivy League schools, and certainly not because he had alumni connections or big donations.

You're allowed to not like him, even despise him if you wish. But don't lie about his circumstances.
Nuance, discernment, and careful judgement don't scale.

Yet, we keep trying to build rules, societal norms, APIs (and now AIs) to try and achieve this at scale. And it always fails.
Once you’ve doing this, is there a value-add Brave is providing over just using Google through a VPN?

As someone without much familiarity, this alternative seems circuitous if Google results are what you actually want.
GPT-4 still confidently makes up sources for wrong answers and throws subtle mistakes (the obvious mistakes aren't as big a nuisance) into output.

This isn't to say gpt-4 isn't cool or impressive or a development to watch and learn about and be excited about, but I frequently see criticism dismissed as "you must be using 3.5" while I find 4 still costs more time than it would have potentially saved.
To comply with section 24(2) of the DSA. You need to publish that information about your number of EU users.

Currently there's no strict rules on how you calculate or even necessarily the information you publish. Other than saying based on your calculation your number of users is below 45 million (in the EU). In the future there will be delegated articles on how the calculation must be done.

Obviously the regulation was made in comitee with team of lawyers but I expect the justification for "Why should a corporation have to disclose MAU?" is something like:

* The majority of businesses will with minimal work be able to tell the difference between having under say 4 million EU usere and having 45 million eureopean users so they'll know if they're in a range where they should be concerned about the regulations.

* If they're getting to a size where they have millions of users (in europe alone) they should have the resources to put in place logging/policy to figure out if they're approaching the 45 million EU users with more confidence.

* By making them publish a statement saying they've done what they believe is due dilligence on making sure the rules don't apply then enforcement becomes much easier. Auditing only needs to be done randomly on a handful of sites that declare they're just under the limit and on those who look like they are taking the piss saying they're well below the limit or seem to be growing but keep saying they're just under the limit declaration after declaration.

So these numbers are shown in Apple's case because it's in a companies best interest to show they're acting in good faith in working out these numbers (Especially since in Apple's case they're trying to differentiate the services so that they can try to reserve the right to not apply the DSA to some of those services in a possible future). Stating a number (or that you're well below the user limit) implies you've done a real calculation (i.e. I only get 44 million site visits from anywhere in the world every 6 months so I can't have 45 million EU users) and in the case of an audit where it's not the case shows you were acting maliciously/with gross negligence/with a calculation tha needs to be changed, making any enforcement much more justifiable.
What were you expecting? Scientific notation with error margins? "We fired 5×10²±5 employees"?
I'm reciting Twitter, not making any claims.
Fires develop crazy fast, too. Horrifying real-time footage of The Station nightclub fire is on YouTube. Within 2 minutes of ignition, fire is leaping out the windows. By 6 minutes in, the entire building is burning like a torch.

https://www.youtube.com/watch?v=rO0ioCCiEe8

Firefighters arrive in 5 minutes.
Not Intel
Given that I've had to either use the Command Prompt or Registry Editor to fix Windows on every installation I've had when it somehow messes itself up, I don't see how having to use the Linux terminal in similar situations is a big problem.