skysight-inc/HackerNews huggingface dataset:
Firstly, it was the golden age where computers that you could own personally became capable enough to run decent games etc, but still be completely understood by a single person.

Also, people who were teenage hackers in that era are now middle-aged and beyond, and nostalgia.
"Everything you read in the newspapers is absolutely true except for the rare story of which you happen to have firsthand knowledge." - Erwin Knoll, allegedly[1]

[1] It's widely attested to him, including on Wikipedia and in an aside in an old NYTimes article [https://www.nytimes.com/1982/02/27/us/required-reading-smith...], but I couldn't track down the original source to verify it. It's possible it's falsely attributed, but on the other hand he wasn't super prominent -- editor of a major magazine for progressivism, called The Progressive, yes, but no Mark Twain -- and so there'd be little incentive to say it was his when you could call it Twain's.
A teacher might tell you "it's about brush mileage - and I have now told you all that matters".

Dump that teacher. If it's all they could teach you, you are done with them.
My understanding is that by using "the magic of quantum", accelerations can be measured with 0 error (for practical purposes), so it's an incredibly accurate dead reckoning positioning system. In that way, it's "GPS, but better" because you can't be jammed or lose signal. It would also work under water or under ground.
A lot of them are former cops, used to having a police union in the way of themselves and any accountability for bad actions.
The issue here is that Mullenweg is on record everywhere (including on HN) saying that the "WP" is not the trademark problem; it's "Wordpress" and "WooCommerce".

But a cursory glance at Google results for "Wordpress hosting", "woocommerce hosting", or "managed wordpress hosting" will lead you to hundreds of results from a plethora of web hosting companies that have been doing this, many for more than a decade.

The Wordpress Foundation (that owns the "Wordpress" trademark) has not taken any legal action against any of these companies for precisely the same use it's accusing WPEngine of. A judge could well rule that they have not defended their trademark and this claim holds no water.
no, money seems to only change people for the worse. the rich ones who are good were good all along.
Personally, I wouldn't mind that, but the situations aren't really comparable in the way you think.

This site isn't calling out individuals, but what you are suggesting would be. The consequences of each are different and society is far more forgiving to companies.

> If that isn’t a goal of this tool

I'm not sure the goal of this tool is to blacklist anything. But it's certainly not to call out _individuals_.
I've been long-term contributor to bCNC https://github.com/vlachoudis/bCNC/
But FreeCAD seems to be interresting choice lately as well...
RE housing, I think it makes sense to price in some of the real risk factors tied to location. I have a friend whos is a wildfire behavior analyst and occasionally is paid to speak with mountain communities.

They are under strict orders not to say the blunt truth as they put it "you have one exit and in the middle of an unstoppable fuel load. in case of fire,you are all fucked and will die".

Instead they have to say something along the lines of that they should do everything within their economic power to reduce their fire risk.

On the part of pollution from wildfires, I'm much more ambivalent. A smoke filled West Coast was the norm in fall prior to California fire suppression.
PRs welcome :-)
That could be the point of sentiment around this tech. Most funded development is done out of military R&D instead of science/consumer/art purposes. Everything else ends up benefiting eventually but it would be nice if we didn’t only create things for war and then later repurpose them for everything else.
> There are laws against insurers citing preexisting conditions to deny coverage, and most DNA is equivocal as to whether you’ll develop expensive maladies.

In the US, those laws have been under persistent attack by Republicans since enactment, and there hasn't been a major election cycle where its repeal wasn't a campaign dog whistle[1].

And since when has for-profit industry required unequivocal evidence to strengthen their balance sheets and fatten their bottom lines?? These gamified business decisions are always beyond opaque and the burden of proof is always unfavorably shifted onto consumers in harm's way.

[1] https://www.whitehouse.gov/briefing-room/statements-releases...
Yeah but that also means presumably they have dealt with criminals before, and as Stronger Bell famously said in the wire "Is you taking notes on a criminal fucking conspiracy?"
The Julia version of this (https://github.com/miguelraz/StagedFilters.jl) is very clearly generating pretty great code. For `smooth!(SavitzkyGolayFilter{4,3}, rand(Float64, 1000), rand(Float64, 1000))`, 36 out of 74 of the inner loop instructions are vectorized fmadds (of one kind or another). There are a few register spills that seem plausibly unnecessary, and some dependency chains that I think are an inherent part of the algorithm, but I'm pretty that there isn't an additional 2x speed to get here.
As someone unfamiliar with the topic but trying to piece together information, I have to admit that they do a better job at convincing me of the potential of reinforcement in chip design.

As with most, if not all, applications of reinforcement learning, there are always traditional algorithms that outperform it. But that does not mean that the approach lacks promise, or is at least interesting.

Sure, the paper might have polished up some results, but if that is the case, it is better addressed through the appropriate channels. Engaging in public criticism does not build too much trust, at least not with this curious observer.
I am not sure how g-code parser in the simulator handles the line numbers... might be problematic...
Looks like product names to me. It’s certainly confusing at least, which is an issue either way.
The company can certainly make a calculated risk of going against their TOS and their promise to the customers at the cost of potential risk of their reputation.

Note that such reputation risks are external and internal. The reputation reflects on the executive team and there is a risk that the executive team members may leave or attempt to get the unscrupulous employee fired.
Haha, having lengthy discussions, especially when we disagree, is healthy IMO. That's how we get to experience other viewpoints, and hopefully become better for the effort.

> Can I build this thing from scratch myself

You absolutely can. Everything you need is in the model config (layers, stuff) and there are training scripts all over the net. Now, granted, you will not necessarily get the same results, but then again neither is Mistral or Meta.

> but the authors tries to argue that the compiled asm output is "open source". It's output, not source, so you cannot license the output as "open source" as it's missing that last part, the "source".

Replying here because I can't in the other subthread. I think you are using a misconception on what is source code, and what is a weight. In the LLM world, you already have the source code for inferencing. This would be either pytorch or c code or whatever. You also have the architecture code. You can see what the model looks like, what layers it has, what ops it does to reach a result. That is also open! So you get the source to run inference. You get the source to "load" the model (i.e. the architecture, layers, etc). And you get a bunch of hardcoded values.

What you don't get is the why behind the question "why is this value x and not y". And for the most part, no one knows.

> If they're not available, or available but under restrictions (usage or otherwise), then it's not open source.

Let's take another (famous) example. Quake is famous for having a hardcoded value somewhere in the source code, that speeds up some geometry computations. Now, you can change that value, but things will be messed up in the engine. Collisions will happen weirdly, things will look bad. Now, is quake any less of "open source" if you or I don't understand why the original coder chose that value? Of course not! Well, now just multiply that with 1B hardcoded values. It's the exact same thing. You could change any of the values, but the game would look wonky as you do so. But, at the end of the day, it would not be any less open source.

I guess what I'm trying to say is that weights are not binary blobs. Weights are not an obfuscation attempt. Weights are distributed exactly how they are intended to be used, and how they are being used by the creators as well. You can change the architecture of a model (see above for details). You can add layers, you can remove layers. You can perform "abliterations", or you can do fine-tuning. Everything is exactly done as the "creators" intended. The only thing you don't have is "how they got those exact same numbers". But you don't need that. And it's funny that somehow for LLMs that's a bridge too far. It never used to be for any other project.
I have 2 VM with Debian on Contabo in 2 datacenters in 2 different physical locations connected via VPN with Wireguard.
The two servers are in sync for high availability : MariaDB servers are replicated in a master-master configuration, Unison keeps in sync the files.
In case one server is not available, ClouDNS automatically switches the DNS records to the other server.

I created a mesh VPN with Wireguard between the 2 VMs and my office and home serversc (Minisforum PC with Debian) (this is important for my backup and to not open external ports. The VPNs at home at office are provided by 2 Fritz!Box routers)

Just finished yesterday to re-engineering my backups as follow :

- Contabo provides 2 snapshots per VM (on my current plan), I create manually a snapshot every week (for the future I'd like to make this automatic)

- I use bot restic and borg for redundancy as follow :

-- An automysqlbackup cron job creates the encrypted data dumps every day

-- I created two bash scripts that make archives of /etc, /root (contains acme.sh ssl certificates). These archives are encrypted with my public GPG key. They are scheduled via a cron

-- The others directories I backup are /var/vmail (mail files already compressed and encrypted by vmail) and /var/www (websites and web applications), but I don't create archives of them

-- I created different repositories for : /etc, /root/, databases, vmail, sites. In case a repository or a single backup fails for every reason I don't loose everything, but only a part of the full backup

-- Restic sends the backups to iDrive e2 S3 storage : I'll replace part of the procedure using resticprofile in the near future

-- Borg sends the same backups both to home and office servers : I use borgmatic, but have different configurations, and cron jobs, for every destination, otherwise, if a backup fails on one destination, fails on both

-- If one backup fails fo every reason I receive an alert via Pushover : I'd like to substitute it with a self hosted instance of ntfy.sh

I have two additional offline external disks I sync (every week manually) with the main backup disks using rsync

Still to improve / change :

- automatic snapshots creation (via cron jobs)

- use resticprofile for restic

- use backrest to check and access the restic backups

- use Vorta to check and access the borg backups

- use self hosted ntfy.sh for notifications
Most American towns have one pickup day for both recycling and trash, and only one type of recycling anyways. Kind of unnecessary to print hundreds of thousands just to mark Tuesday or Friday every week on them.
> pfdietz: It's also pointless then to make a claim that (as you state) cannot be demonstrated. Airy unjustifiable nothing.

I said my country effectively banned nuclear power with a popular referendum that was completely biased by the aftermath of Chernobyl [1], economics hardly played any role in it. This is a fact. Similar referenda were also held (or tried to be held) in other countries like Switzerland, Austria and Slovenia, and if you look you'll find the concerns were not economical, but about the safety and waste management.

[1]: https://en.wikipedia.org/wiki/1987_Italian_referendums
nature is incredible .with the unique creatures . we found that the creature actually creating solid carbons by its faecal pallets.

do you guys have any idea to increase this creatures in order to reduce co2?
As @neosunset says we have a lot of good options but I've not come across anything which strictly guarantees thread safety. In practise issues are uncommon and easy to identify / fix.

Honestly I'm more interested in code contracts than Rust, as they allow you to make a set of statements of your system which can then be validated statically. I've had very good results using them (and am forever grateful to the colleague who introduced me to them)... and I am interested in Rust (having dabbled with it, only I'm yet to use it in a paying or production project).

So sideways as you said - with C# you can usually rely on the GC for memory management, have fast compile times and what I feel is a more flexible model.. and top tier tooling and a huge and wide range of libraries. Rust can be much more efficient and has much better language-level properties wrt threat safety and a more mature story around native code.

I'd use Rust for system-level code or places where I'd otherwise think of using C++. I keep having discussions with people who want to use Rust for everything - CLI tools, web services (which are doing pumping), business logic and the like. It's getting tiring. The trade-offs are bad. C#, Go and Java are all far better suited & cover pretty much all the niches.

Does Rust have anything to spot resource leaks (i.e. the infamous IDisposable in C#)?
Nothing wrong with randomness combined with "taste" in the hands of the creator. Which is exactly the plan with generative AI.
So save people from their own irresponsibility?
> smoke filled West Coast was the norm in fall prior to California fire suppression

Genuinely curious for the evidence on this, if you have it.
Guile is great, but I think outside Guix it's pretty niche.

Racket is probably the most frequent choice. But I really like some aspects of Chicken, Gambit and Bigloo.

Even Clojure or CL could also be used, with a bit of friction of course.
Does Fusion 360 have postprocessor for GRBL? I've tried to make the simulator GRBL compatible. At least to some extent...

If that does not help, please share the g-code...
"Scientists dream about doing great things. Engineers do them."
I feel this is one of the major ways that most pundits failed with their “the data is going to run out” predictions.

First and foremost a chatbot generates plenty of new data (plus feedback!), but you can also commission new high-quality content.

Karpathy recently commented that GPT-3 needs so many parameters because most of the training set is garbage, and that he expects eventually a GPT-2 sized model could reach GPT-3 level, if trained exclusively on high-quality textbooks.

This is one of the ways you get textbooks to push the frontier capabilities.
That’s true for a lot of cities. I have this in Cupertino, and used to have it in Mountain View.

Most people just don’t seem to check their website.
> a lot of impoverished people in the area that won't be able to move

Instead of providing assistance to rebuild, if the property is in a fucked place, provide money to move.
I can't find any GPU capabilities on their website and it seems to be 100% focused on game backend hosting, not general workers. Do you have more information?
A C-64 fits on your desk easily. A PDP-11 or a Cray-1 does not. This surely isn't the entire answer, but I suspect it does play a role.
Try GRBL post processor.
Is the reason for development on features going slow usually the number of developers though? Nowhere I’ve worked has that really been the case, it’s usually fumbled strategic decision making and pivots.
Yes that’s it, thank you. I’ll admit I was too lazy to look the exact one up.
Godot is an open source game framework: https://godotengine.org/

You would presumably need to download the Godot framework and open it in the framework.
> and doesn’t believe there is anything wrong about her.

that is anosognosia: https://en.wikipedia.org/wiki/Anosognosia
I think scientific computing in Rust is getting too much attention without contribution lately. We don't have many essential language features stabilized. SIMD, generic const exprs, intrinsics, function optimization overrides, and reasonable floating point overrides related to fast math are a long way from being stabilized. In order to get better perf, the code is full of these informal compiler hints to guide it towards an optimization like autovectorization or branch elision. The semantics around strict floating point standards are stifling and intrinsics have become less accessible than they used to be.

Separately, is Julia hitting a different LA backend? Rust's ndarray with a blas-src on Accelerate is pretty fast, but the Rust implementation is little slower on my macbook. This is a benchmark of a dot product.

```

const M10: usize = 10_000_000;
#[divan::bench]
fn ndarray_dot32(b: Bencher) {
b.with_inputs(|| (Array::from_vec(vec![0f32; M10]), Array::from_vec(vec![0f32; M10])))
.bench_values(|(a, b)| {
a.dot(&b)
});
}

#[divan::bench]
fn chunks_dot32(b: Bencher) {
b.with_inputs(|| (vec![0f32; M10], vec![0f32; M10]))
.bench_values(|(a, b)| {
a.chunks_exact(32)
.zip(b.chunks_exact(32))
.map(|(a, b)| a.iter().zip(b.iter()).map(|(a, b)| a * b).sum::<f32>())
.sum::<f32>()
});
}

#[divan::bench]
fn iter_dot32(b: Bencher) {
b.with_inputs(|| (vec![0f32; M100], vec![0f32; M100]))
.bench_values(|(a, b)| {
a.iter().zip(b.iter()).map(|(a, b)| a * b).sum::<f32>()
});
}

---- Rust ----
Timer precision: 41 ns (100 samples)
flops fast │ slow │ median │ mean
├─ chunks_dot32 3.903 ms│ 9.96 ms │ 4.366 ms│ 4.411 ms
├─ chunks_dot64 4.697 ms│ 16.29 ms│ 5.472 ms│ 5.516 ms
├─ iter_dot32 10.37 ms│ 11.36 ms│ 10.93 ms│ 10.86 ms
├─ iter_dot64 11.68 ms│ 13.07 ms│ 12.43 ms│ 12.4 ms
├─ ndarray_dot32 1.984 ms│ 2.91 ms │ 2.44 ms │ 2.381 ms
╰─ ndarray_dot64 4.021 ms│ 5.718 ms│ 5.141 ms│ 4.965 ms

---- Julia ----
native_dot32:
Median: 1.623 ms, Mean: 1.633 ms ± 341.705 μs
Range: 1.275 ms - 12.242 ms

native_dot64:
Median: 5.286 ms, Mean: 5.179 ms ± 230.997 μs
Range: 4.736 ms - 5.617 ms

simd_dot32:
Median: 1.818 ms, Mean: 1.830 ms ± 142.826 μs
Range: 1.558 ms - 2.169 ms

simd_dot64:
Median: 3.564 ms, Mean: 3.567 ms ± 586.002 μs
Range: 3.123 ms - 22.887 ms

iter_dot32:
Median: 9.566 ms, Mean: 9.549 ms ± 144.503 μs
Range: 9.302 ms - 10.941 ms

iter_dot64:
Median: 9.666 ms, Mean: 9.640 ms ± 84.481 μs
Range: 9.310 ms - 9.867 ms

All: 0 bytes, 0 allocs

```

https://github.com/trueb2/flops-bench
But it’s not true in practice. Pure simple XML vs JSON sure. XML you deal with in SAML has tons of extra things like namespaces, canonicalization issues, etc. it is way more complex and has led to many security issues over the years.
I would take that bet. I postdoc'd with a very accomplished researcher (he won multiple Nobel Prize "precursor" awards). He certainly understood the social aspect of science - you need to be able to convince people your theories are correct and important - but I wouldn't say he "gamed the system" in any significant way.
I didn't like your project.

Nicholas,

Thanks
The problem of something like Google Analytics is that a company in the EU (EU company, US subsidiary, ...) exports PII to the US which it can't do (law interpretation is not clear inside the EU, e.g. is it legal if GA doesn't store IPs or if using GA without consent is generally illegal).

And exporting data to the US is illegal because US companies can't guarantee that the EU citizen data is protected (which is the goal of the GDPR).

But then again, it is not clear if this applies if an EU citizen goes to a company in the US (real or website in US datacenter) and leaves their data there.
> This is all to say, if you find yourself in a situation where you need an impromptu bathroom break in the middle of an interrogation to delete messages, you’re already in deep shit.

Hilarious.
That is of course true, but I don’t think fusion will ever be economical.
It is literally false. The original tickets are nowhere close to that expensive and they do a lottery system with more verification now so that more fans get the tickets. I'm not defending Ticketmaster (they are awful and should be regulated), but original tickets just don't cost that much. Have you ever purchased Taylor Swift tickets? I have twice. Both times at original ticket prices.
Yeah this is actually important distinction.

It exists but not to an extent the impact to the overall social structure is actually functionally impactful

They serve as “impossible standards” and generally excluded as outliers - occasionally as leaders but in many cases they are assassinated for challenging authorities or otherwise demonized.
Ad revenue means tvs priced for less than they ought to be, it's a trade-off for consumers. You could quibble about the externalities but it's ridiculous to suggest there's no upside, for anyone. If that were true they wouldn't sell.
You are welcome in the Racket Discord.

https://discord.com/invite/racket-571040468092321801
Is rebuilding houses every 30-50 years eco friendly?
Show HN: Generating Images in Seconds
Hi all,
I want to share with you my latest project. During the last couple of week I have thinking what app to build so I can play around with AI apis, so that's how the idea of generateicons.co came up.

The app is simple, you just give it a prompt and you will get an image in a style that you can choose from. When you sign up, you get 2 credits to try out the app and see the result.

And for the first 100 orders we are giving 20 credits as FREE bonus to generate images.

So go check the app and give us feedback in the comments.
I don't think there's a centralized community for the Little Series. I think this is unfortunate. With a community, some great titles like The Little MLer (typed FP) and A Little Java, a Few Patterns (OOP) would be much better known.

I found those two outstanding. I think A Little Java has been reprinted. But last time I checked, The Little MLer was bloody expensive. Standard ML, OCaml and F# need a lot more exposure. They are simple and practical. The Little MLer does a great job introducing the basics.

To close the circle, the Little Series is missing a book about concurrent and distributed paradigms à la Erlang. They already have functional programming, typed functional programming, declarative programming, dependent types, theorem proving, object-oriented programming and machine learning.
how does that circumvent the need for the former password to restore the phone?
At some point the price one has to pay exceeds the benefit one gets from being affiliated to these "luxury" brands. I guess the time has come for Harvard? $300k for an MBA is crazy in the current state of the industry when management jobs have become so scarce.