skysight-inc/HackerNews huggingface dataset:
Drones are vulnerable because they have to transmit a video feed over many miles for a remote operator to be able to control them. And the enemy can easily detect that, and then launch a missile that homes in on that signal. That's why there aren't any stealth drones. Drones shouldn't work against a first rate 21st century military, but Russia has proven in this war that they are not in that group.

One way to make a stealth drone is to make it operate autonomously, without sending back a video feed. But nobody is comfortable with that for obvious reasons.

The approach the French have proposed for their next gen fighter jet is to have a stealth jet surrounded by a swarm of stealth drones. The pilot commands all the drones, and so any radio links would be short range and therefore hard for an adversary to detect.
> The algorithm is just ranking the top "non-professional hairstyle" in the most neutral way in its database

You're telling me those are all the most non-professional hairstyles available? That this is a reasonable assessment? That fairly standard, well-kept, work-appropriate curly black hair is roughly equivalent to the pink-haired, three-foot-wide hairstyle that's one of the only white people in the "unprofessional" search?

Each and everyone of them is less workplace appropriate than, say, http://www.7thavenuecostumes.com/pictures/750x950/P_CC_70594... ?
No, it’s my point. We see skin tones mapped because all the lighter skin people died out faster than they could reproduce due to UV radiation killing them off sooner in life. Melanin rich individuals are more resilient, but that is not purely because of their skin and tanning won’t give you their power.
I disagree. It’s a final check to ensure that you will defend successfully. It is much easier to reject a proposal a year before the defense than to reject a defense.
To make my stance very clear - this is an absurd and hilarious practice and feels similar to ransom, with the hacked entity putting "white hat hackery" on the table as an option to get some of their money back.
Inertia and Just for the taste of it - apparently diet concious consumers have a weird taste for aspertame coke.
I'm surprised this doesn't discuss JSON marshalling
In any case, Google will be writing their reality. Who picked the image sample for the ML to run on, if not Google? What's the problem with writing it again, then? They know their biases and want to act on it.

It's like blaming a friend for trying to phrase things nicely, and telling them to speak headlong with zero concern for others instead. Unless you believe anyone trying to do good is being hypocrite…

I, for one, like civility.
And with that changing, maybe we can have winners who make better products, or are more efficient with resources, or just...listen to their customers. Rather than merely being better at attracting VC capital.

One can hope.
The Donald Trump video made me laugh-out-loud for real like we used to do in the 90s.
The obvious places to look are Polynesia (as mentioned), Australia, and sub-Saharan Africa. What are the indigenous flatbreads?
There is a contingent of AI activists who spend a ton of time on Twitter that would beat Google like a drum with help from the media if they put out something they deemed racist or biased.
Roger Angell has died at 101
The entire "content" industry could get eaten by a few hundred people curating + touching-up output from these models.
Until they pull of the plug on it.
Air pollution linked to deadly heart rhythm disorder
These kids will grow up remembering that a very specific group of people of a certain ideology kept them out of school, masked, and plugged into a zoom monitor for as long as possible.
Do you see Temporal as being a super-set of DAG managers like Airflow/Dagster/Prefect, or do you see uses where those tools would be a better choice than Temporal?
Exploiting Vulnerabilities in Xinje PLC Program Tool
That's because we're still bad about long-tailed data and that people outside the research don't realize that we're first prioritizing realistic images before we deal with long-tailed data (which is going to be the more generic form of bias). To be honest, it is a bit silly to focus on long-tailed data when results aren't great. That's why we see the constant pattern of getting good on a dataset and then focusing on the bias in that dataset.

I mean a good example of this is the Pulse[0][1] paper. You may remember it as the white Obama. This became a huge debate and it was pretty easily shown that the largest factor was the dataset bias. This outrage did lead to fixing FFHQ but it also sparked a huge debate with LeCun (data centric bias) and Timnit (model centric bias) at the center. Though Pulse is still remembered for this bias, not for how they responded to it. I should also note that there is human bias in this case as we have a priori knowledge of what the upsampled image should look like (humans are pretty good at this when the small image is already recognizable but this is a difficult metric to mathematically calculate).

It is fairly easy to find adversarial examples, where generative models produce biased results. It is FAR harder to fix these. Since this is known by the community but not by the public (and some community members focus on finding these holes but not fixing them) it creates outrage. Probably best for them to limit their release.

[0] https://arxiv.org/abs/2003.03808

[1] https://cdn.vox-cdn.com/thumbor/MXX-mZqWLQZW8Fdx1ilcFEHR8Wk=...
Show HN: Simple and Useful Online Developer Tools
So glad the company that spies on me and reads my email for profit is protecting me from pictures that don't look like TV commercials.
Lots of the comments here seem to be commenting on their own experiences of complexity and frustration with Airflow, but I'd venture to say that's most data orchestration tools. In fact, that sort of feedback is so consistent that I'm half tempted to start a podcast for "orchestration horror stories" (contact if interested).

What I've found while building out Shipyard, a hosted lightweight orchestration platform, is that teams want something that "just works". Servers that "just scale". Observability that doesn't require digging. Notifications and retries that work automatically. Workflows that don't mix business logic with platform logic. Code and workflows that sync with git. Deployment that only takes a few minutes.

For the straightforward use cases, where you need to run tasks A -> G daily, with a bit of branching logic, Airflow is overkill. Yes, Airflow has a lot of great complex functionality that can help you down the road. But Airflow keeps getting suggested to everyone even if it's not best suited to their use case, resulting in lots of lost time and engineering overhead.

While I have definitely have bias, there are a lot of other high quality alternatives out there to explore nowadays!
Lee from Vercel, happy to answer questions about the RFC or future plans for Next.js. This RFC has been years in the making – and I'm pretty happy with where we've landed.
I don't see how this gets us (much) closer to general AI. Where is the reasoning?
At the moment it’s not the default though. So people who enable this feature will, ironically be more unique and therefore more accurately fingerprintable.
See the paper here : https://gweb-research-imagen.appspot.com/paper.pdf
Section E : "Comparison to GLIDE and DALL-E 2"
Last time I checked, they asked for a significant minimum $ + 1 year commitment.

I wish they had a "start small", self service, clear pricing option.
I went from flunking programming courses to leading products at $B startup
Okay that's your problem with the system, but how would you propose to fix it? That's the important part. And be careful in your proposal that you don't end up reinventing the current system (but worse), because lots of proposals I've seen tend to go that way (coming from a place that doesn't actually understand the system they purportedly want to fix).
Apple M1 Performance on Linux: Benchmarks Better Than Expected for Its Alpha
Don't clobber the branch or tag, instead create dated tags with a name like built-YYYYMMDD-HHMMSS. Then have downstream systems pick whatever the latest tag is.

You can force push it, but why not keep a trail of what your past state was?
GitHub: https://github.com/MikulasZelinka/book-for-ukraine/

All contributions are very welcome :)

The website is currently in Czech, English and Ukranian.

The book content (poems) are currently in Czech and Ukranian only.

We'll expand to more languages once we're done with the final draft of the texts for the physical version of the book.
I tried a before-and-after on the EFF Cover Your Tracks tool[0].

Before: One in 69970.67 browsers have the same fingerprint as yours. Currently, we estimate that your browser has a fingerprint that conveys 16.09 bits of identifying information.

After: One in 104957.5 browsers have the same fingerprint as yours. Currently, we estimate that your browser has a fingerprint that conveys 16.68 bits of identifying information.

So according to that, my browser is more fingerprintable after enabling the setting!

I didn't expect this experimental feature to be a silver bullet, but I certainly didn't expect it to make me more unique. I'm not sure what to think of that.

[0] https://coveryourtracks.eff.org/
They're withholding the API, code, and trained data because they don't want it to affect their corporate image. The good thing is they released their paper which will allow easy reproduction.

T5-XXL looks on par with CLIP so we may not see an open source version of T5 for a bit (LAION is working on reproducing CLIP), but this is all progress.
This seems bullshit to me, considering Google translate and google images encode the same biases and stereotypes, and are widely available.
>At what point is statistical significance considered ok and unbiased?

Presumably when you're significantly predictive of the preferred dogma, rather than reality. There's no small bit of irony in machines inadvertently creating cognitive dissonance of this sort; second order reality check.

I'm fairly sure this never actually played out well in history (bourgeois pseudoscience, deutsche physik etc), so expect some Chinese research bureau to forge ahead in this particular direction.
You do not need to be profitable from the first customer, but you need to have a hope or at least a sound plan to profitability.
I guess I don't understand why someone would make the contrary assumption about famous academic work.
With all due respect, it appears as if you have entered this conversation with this belief and have used that perspective as a filter when other commenters have tried to correct that perspective.

It may be surprising to learn that languages without implicitly-nullable types are real, but you should understand that none of these people would be trying to tell you about this if these languages simply exploded any time you used them the wrong way.
Our language is much more effective at describing images than music.
airflow is one piece of software that i hate very much, especially the aspect that my job definition is intertwined with the actual job code. if my job depends on something that conflicts with airflow's dependency, it gets ugly.

i actually like azkaban a lot better. of course, writing a plain text job config could also be painful. i think ideally you could write job def in python or other lang but it gets translates to plain text config and does not interfere with your job code in any way.
I got early access and ran some benchmarks on FreeBSD 13.1-RELEASE: http://www.daemonology.net/blog/2022-05-23-FreeBSD-Graviton-...
A phd is a one time expense, you can choose to discard it or use it as needed. Unlike a surgeon, who must spend their career actually doing surgery or face financial ruin.

Anecdotally, I have seen phds create expectation vs reality mismatches for some. The degree can easily become an anchor which holds someone to problems that they no longer care about, or provides false belief in one’s credentials.
I think the statistics/representation problem is a big problem on its own, but IMO the bigger problem here is democratizing access to human-like creativity. Currently, the ability to create compelling art is only held by those with some artistic talent. With a tool like this, that restriction is gone. Everyone, no matter how uncreative, untalented, or uncommitted, can create compelling visuals, provided they can use language to describe what they want to see.

So even if we managed to create a perfect model of representation and inclusion, people could still use it to generate extremely offensive images with little effort. I think people see that as profoundly dangerous. Restricting the ability to be creative seems to be a new frontier of censorship.
Growing food in hard clay
I thought it's "UNODIR", as described by General Patreus (who is apparently a good general but who got too horny once)

https://www.dailykos.com/stories/2009/2/11/696188/-
Yeah, I appreciate what 'auto' and 'scaling' signifies. I've implemented an autoscaler on a huge Kubernetes cluster in the past. That's precisely where my doubt comes from.

I was about to write out a huge example, but I figure I'll just express the core logic simply. First, it takes a chunk of time to determine that increased traffic is not just random variance. Then it takes time to allocate and provision machines. And often the traffic spikes for you and for your co-tenants are not statistically independent, so the provider struggles to allocate machines in time when it most matters.

And how much do you scale up? 10x right away? Can't do that: vastly expensive, and anyway it could be a retry storm exacerbating things. 2x and then go from there? Well, if your business is serving ads during the Superbowl break, that's not gonna work. Etc. This all starts to look increasingly absurd against the backdrop of being able to just push a button and do it yourself.

I'm not suggesting never doing autoscaling. I'm just saying that wise men don't speak in absolutes, or make architectural decisions based on toy examples. Nor am I particularly bothered about whether I'm doing things "like it's 1996" - I'm not in the fashion business, so I'm purely interested in finding the optimal solution to my problem, and I couldn't care less whether it's flaming hot or whether it's from the Iron Age.
It's just a question of natty or juice. There are also business models that legitimately need to reach moderate scale before they're viable.
> The third sentence should ring alarm bells in the head of the author…

You seem to have excluded the first part of that sentence: "Not that it had anything to do with our decision making, but…"

And "TypeScript is apparently far more energy-hungry" is probably intended to mean "far more energy-hungry" than C++ or Go.

> … hardly representative of typical code…

How did you measure "representative"?
> I think "What makes killing a human murder" is the wrong path to go down when it comes to arguments for/against abortion.

I guess since this is your opinion I can't say it's wrong, but I can strongly suggest that this opinion is wrong. Is abortion the killing of a child? If it is not then why does a state like California have laws written about double homicide that say:

> defines murder as the unlawful killing of a human being or a fetus with malice aforethought. [0]

If we already have laws like this in a state as liberal as California, then clearly the argument that an abortion is murder is reasonable.

Put another way, would you tell a mother grieving for her miscarriage that she didn't actually lose a child? She just lost a fetus after all, so it's not like there's much to grieve about.

Or would you say that a woman that had her unborn baby killed while having some sort of altercation or accident isn't entitled to prosecute the perpetrator? If she has the right to pursue legal action against somebody, then there is clearly some sort of "precedent" about an unborn child having rights. This is an argument that can and should be explored further instead of dismissed since it's a "touchy subject". The law is full of hard truths, and it's our responsibility to explore these to make sure we're not carrying out injustice.

[0]: https://www.ncsl.org/research/health/fetal-homicide-state-la...
Agreed, I just would like to add the documentation got a lot better in the past couple of years.
Disagree. You can turn up the personhood all the way and still, in a scenario where a child was dying and needed a kidney and their parent was the only available match, the parent could not be legally forced to donate it. Why? They own their body and can't be forced to put themselves through bodily harm to help someone else.

You seem to be saying that "personhood" should be the deciding factor of abortion rights, but "personhood" is never going to be resolved to everyone's satisfaction. Bodily autonomy can and should be.
LOL, you lost me when you mentioned Tesla detecting pedestrians.

Optically detecting something small at range is very difficult. When cued by other devices (radar/IR) EO systems like what the F-14 used to carry can zoom in and identify a target at range. With drones you won't have that cueing. Their IR/radar signature is generally too small unless you're talking Predator size UAVs.

And the more you add to a drone, the heavier and more expensive it becomes. Radios, advanced sensors, etc etc.

Why would I assume an anti-drone would look anything similar to a "normal" drone? Does a SAM (surface to air missile) look anything like a fighter aircraft it counters? Does an anti-tank mine resemble an armored vehicle?

And you can't just hand wave and say add 50% to the cost to make it lighter and more maneuverable. That's just ridiculous. Modern aeronautics is a mature industry, and just throwing money at something doesn't magically improve flight characteristics.

And range? Just hand-waving here as well. Range (what the experts refer to as persistence) is hugely important. If you don't have persistence, then to "scramble" as you so eloquently put it require high performance, which leads to higher weight and higher cost, as well as less maneuverability.

And in-flight refueling? That's only been demonstrated on very high performance USN UAVs, and those are basically jets, not drones. The idea that these (or any drone) is even close to flying CAP missions is unrealistic.

Currently there is no technology to build what you describe. None.

And your link to the Kızılelma just illustrates how far away this is. This is a stealthy/low RCS supersonic aircraft with an AESA radar. This is what aerospace engineers call "not-cheap."

And I wouldn't dignify the Russian "attempt" as more than someone strapping a shotgun to a hobbyist RC plane and calling it a weapon. It suffers from all the critiques I've previously outlined.
Annotated tags can be signed and you can check tag signatures in addition to commit hashes. Admittedly, if you don't trust the remote repo you don't trust the remote repo even with signatures.

Similarly, many repository hosts can help you setup tag protection as a part of branch protection tools, but while that helps with your own repos it doesn't generally help with remote repos.
The lede is buried in section "5. Reader Memberships with a 50% Author Revenue Share":

> A Leanpub Reader membership ($19/year) or a monthly Standard or Pro plan is now required for (almost) all free purchases of books, bundles, courses and tracks.

> 50% of the revenue from every Leanpub Reader membership goes to authors of the books, bundles, courses and tracks which were purchased for free using the Reader membership. This way, authors can earn money from free purchases.

> Paid purchases of books, bundles, courses and tracks do not require a Leanpub Reader membership and still pay 80% royalties.

Leanpub has essentially added a paywall for works that were previously free to download, and will split reader membership revenues with the authors. While this seems equitable, it's also a big change in the product direction.

I'd be interested to hear from authors who have self-published using Leanpub intending to maximise readership rather than revenue, and what this might mean for them.

e.g. Try adding a free ebook to your cart, for example this one[1] (no relation, just the one I tried to download). Your cart will now contain 2 items: the ebook and a "One Year Reader Membership - $19.00" with no way to remove it.

[1]: https://leanpub.com/clean-architectures-in-python
I too have been wondering if this is mostly placebo.
For familiar words, don’t our brains automatically read entire words as a single fixation point? I.e. we don’t read in terms of letters, but see the word as an atomic unit?

I would guess that my brain, by seeing certain words hundreds of thousands to millions of times, has found a more efficient way to identify it than the same word with a few letters bolded.
Of course, this is based on no data, I’m genuinely curious if this helps.
Think sheet music, not an mp3
Perl still represents versions like that internally, the "pretty" v-prefixed variant is just some overload/OO magic.
Would it be bad to release this with a big warning and flashing gifs letting people know of the issues it has and note that they are working to resolve them / ask for feedback / mention difficulties related to resolving the issues they identified?
While I appreciate the content, I didn't find anything new here that wasn't hidden behind a sales pitch. I understand that research isn't always free, and I'm fine with the sale, but I expected something new to encourage me. Line height 1.5, 50 to 75 characters per line, double spacing between paragraphs, these are practically defaults (and bare minimum) for anybody interested in readability or typography. Not even a bone thrown to serif vs sans-serif, or font weights, or text alignment (beyond the word spacing suggestion which is iffy to me).

I was expecting at least some consideration for the ever-changing literacy levels of consumers, or margin and padding considerations for multimedia presentation. Maybe something about contrast, since that's a recent hot topic here.

Perhaps the paid version of the content will blow my mind, but I am not convinced that it will be anything new worth paying for. Not sure if OP is related to the topic or just found it interesting, but on the off-chance the author(s) read this, you gotta sell me harder.
Often it's the desire/need for an extremely high growth rate (often imposed on founders by investors) that makes an overwise sustainable business model unviable.

> Many business models must pass through these phases.

I think there are very few categories of companies that ~must~ go through a "Growth Phase". Sure, there are rocket companies like SpaceX and Uber/marketplaces that only work at scale... but the majority of internet software companies cost very little to get up and running and have very, very high gross margins.

Meaning for many companies, the only thing stopping them from immediately entering the "Sustainable Phase" is an incessant need to maintain extremely high growth through excessive spending.
Translation: we need to hand-tune this to not reflect reality

Is it reflecting reality, though?

Seems to me that (as with any ML stuff, right?) it's reflecting the training corpus.

Futhermore, is it this thing's job to reflect reality?

the world as we (Caucasian/Asian male American woke
upper-middle class San Fransisco engineers) wish it to be

Snarky answer: Ah, yes, let's make sure that things like "A giant cobra snake on a farm. The snake is made out of corn" reflect reality.

Heartfelt answer: Yes, there is some of that wishful thinking or editorializing. I don't consider it to be erasing or denying reality. This is a tool that synthesizes unreality. I don't think that such a tool should, say, refuse to synthesize an image of a female POTUS because one hasn't existed yet. This is art, not a reporting tool... and keep in mind that art not only imitates life but also influences it.