skysight-inc/HackerNews huggingface dataset:
My point is that the only reason this is being brought to the UN court is that its because a bunch of jews are doing it.

Its clearly not genocide, genocide has a very clear definition.
If Israel wanted all the Palestinians dead they could do it in a few weeks.

America laid waste to Iraq and Afghanistan after 9/11, killing at least 250k people. That was not genocide and neither is what Israel is doing.

Saudi's killed 500k, using starvation as a weapon, that was likely genocide.

If you sneak across the border and murder, torture and rape 1000+ people there are going to be very bad consequences.

Note: I am in no way downplaying how much suffering the Palestinian civilians are experiencing. Its terrible. What I am saying is Hamas committed an atrocity and left Israel with no choice but to anhiliate them.
They sold stuff like coins/stamps. I have some silver coins.
If the people are convinced by all arguments they hear, at that point it comes down to which argument they heard most recently, so let's hope the media is autonomous, ethical, independent, & responsible
I guess they're trying to push their new Topics API instead?
Is there solid evidence against aquatic ape? The only argument I've seen was that it's unnecessary because multitude of previous explanations of every single feature work just fine, thank you very much.
Will this eventually be useful for game graphics?
Finance.

As proven by the 2008-2010 Great Financial Crisis, self regulation does not work well.
I am quite partial to sodomising flies, which is the French equivalent (used for the action, however, not the person doing it).
Fun fact. If I'm laid off from my corporate job and after weeks of searching start driving for Uber or delivering pizzas, I am considered employed in the U3 (the unemployment rate most often reported). I would be excluded in U5 rate (they are referred to as "marginally employed") which is about 1% higher.

https://www.bls.gov/news.release/empsit.t15.htm

Another fun fact. If I work 2 jobs at 2 different employers I'm counted as 2 employed people.

https://www.bls.gov/web/empsit/cesfaq.htm

There's some much noise in "unemployment rate" that I would argue it's essentially useless for most purposes.
Apple: 32 Items Can Be Tracked in Find My
It 100% guarantees that the content was signed by whomever signed it. The problem then becomes much simpler: do you trust the signer or not. And you can base that decision on what others are saying about the signer (using signed content obviously) or other things also signed by the same person or entity.

Once you have that, unsigned content or content signed by AIs is easy to spot. Because it would either have no reputation at all, or a poor one.

Signatures are impossible to forge (or sufficiently hard that we can assume so), and easy to verify. Reputations are a bit more work but we could provide some tools for that or search engines and other content aggregators could check things for us. But it all starts with a simple signature. Once you have lots of people signing their work, checking their reputation becomes easy. And the nice thing with a reputation is that people care about guarding it is as well. Reputation is hard to fake; you build it throughout your life. And you stake it with everything you publish.

There's no need for blockchains or any fancy nonsense like that. It might help but it's a bit of a barrier to taking this into use.
Cross-Feature Transfer Learning for Efficient Tensor Program Generation
Unemployment in the USA as a Recent Immigrant
Also note that 20K jobs is 6-7% of Citi’s workforce.
Don't you have to put some amount of trust in an idea to even consider verifying?

And have even more trust in the idea to perform your experiments in the first place?

Even in medicine, there has to be someone willing to challenge status-quo ideas, or there's nothing to feed into the "long verification process" in the first place. How do you decide when to be that person?
Capturing these guidelines is one of the primary reasons that https://clig.dev/ exists.
> Who uses base-10 logs in mathematics anyway?

Any applied mathematician working with decibels (as in acoustics, electronics, optics, ...), for example.
Does the faa have enough qualified staff and budget to review boeings planes? Does anyone other than Boeing have them, since noone else does it? Legitimate question. Would you poach a bunch of engineers from the airlines/military?
The average American adult now spends 8.5 hours consuming digital media every day, including games.

Most of it is probably consumed for entertainment purposes (news, social media etc. - social media's share averages to around 2.5 hours per day). Have we considered that maybe we're just spending too much time on entertainment? As opposed to doing things that actually make us better, like studying, practicing a skill or exercising.
Maybe this, since it has to do with Colorado River water.

https://www.watereducation.org/aquapedia/mexico-and-colorado...
Some examples here:

https://www.cs.wm.edu/~smherwig/courses/csci415-common/list/...
Lifting weights actually burns very few calories.
Everyone is not right. Yet again, some are.
The unsaid context of the quote is that programming is among the most lucrative fields (top 3 large employment fields), and most of the money is programming field comes from ads, which is why the best programmers are working on ads.

Artists at ad agencies probably never broke even top twenty jobs by salary.
I responded to someone who said it is not safe to fly airplanes for decades. I don't think they meant "decades equivalent of flight hours", but the decades since manufacturing date.
Kinda. It would have reduced friction due to my unfamiliarity with the controls, but missing connection equipment can affect all brands. Charging apps would be another that would affect non-Tesla more.

I'd only ever driven an ICE. Connectors and apps weren't a thing I was prepared for.
> Efficiency increase could go a long way. We are not even close to efficiency limits for... pretty much anything.

Hard disagree. We're within 2-3x improvement of basically everything. This hardly helps at all if growth must continue.

My argument is growth can't continue and crucially it won't continue...

> That means it won't happen. The question is how it won't happen.

...to the dismay of economists, but I think on that we actually agree.
I loved GeoWorks, it was simple to use and didn't seem to be as much of an effort than Windows. At one point I had an HP laptop (LX something) that I used, it was pretty small for the time and easy to carry.

It would be similar to Microsoft Works (which I also used).

I vaguely remember there was a brick like computer that ran GEOS, etc on it.
Among other nice things, I liked

> We used our C2 repository to execute the pwd && ls && /home && ip a command on the runner labeled “jenkins-worker-rocm-amd-34”, confirming stable C2 and remote code execution. We also ran sudo -l to confirm we had root access.

While it's not clear was it curated list of commands or just ALL, I assume the latter and that makes me feel no system administrator was involved into that pipelines setup - those guys are quite allergic to giving sudo/root access at all
I actually think wind farms look really relaxing and cool, and love driving past them.

But that's just individual aesthetic preferences.
I'm a parent and I do recognize this. There's a "lower threshold" below which I'm not prepared to discuss. Like going to bed, washing up, and indeed tying shoelaces. But reasons for school and specific subjects we can discuss, and see where things are going and what to change and why. No problem.
At some level, isn’t any prediction about the future that involves too many variables somewhat always going to come down to vibes when trying to create a percentage confidence level?

Is there a way to actually mathematically quantify this better? When people make predictions with percentages like this, I understand what they’re trying to communicate, even if the math isn’t precise. There’s a reason all his percentages are in clean multiples of 5.
Not necessarily, but it's arguably as good as you can get after aggregating over a set of people independently analyzing the same question.
As I said, it reduces problems of SSTO (Single Stage To Orbit). The problem of SSTO is low payload mass to the size of the rocket and fuel necessary to transport it. The main solution to this is having multiple stages. Which comes with its own problems -- multiple engines, complexity, more points of failure, etc.

But in the meantime SpaceX learned to reuse the stages so suddenly the problems are no longer as much of a problem as they were before.
AFAIK Shelly is the biggest customer of ESP32 chips. They sell cheap but relatively reliable smart home WiFi devices with a local web server that are really popular.
I had a manager when I was a new hire who had no concept of this difference at all, and it led to his firing me in my 4th week because I "should have been coming in with more knowledge."

He actually told me I should have just come in and started doing things whatever way seemed best to me, like he did, when he was the first employee in the company in the role.

Never mind that it was a compliance-heavy role in risk analysis and I was the 5th person on a 5-person team.

Sure, I knew plenty of ways to solve the problems. What I didn't know were what systems they had (or, in most cases, didn't have) in place to document investigations, which absolutely must be done.

I know plenty about what I'm doing. What I need to know is how you want it recorded. And in fact he had reinvented the entire documentation system during my 2nd week, on a whim.

Firing me that fast was the best gift that company could have given me, because things would not have improved between us.
But the alternative, waiting to apply new-but-actually-correct hypotheses until totally, absolutely proven, also causes lost lives.

And as is usual with "Type 1" vs "Type 2" errors, saving lives by avoiding one problem costs lives due to the other problem. The trick is to sit in the minimum of "lives lost due to Type 1 errors plus lives lost due to Type 2 errors". Unfortunately, that's not an analytic function with a known formula and computable derivative...
What's a better music notation software? Hopefully the answer isn't Sibelius.
Most people who are on TikTok, are most likely using Instagram in one capacity or other. Some people who are on Instagram, think TikTok is "cringe and for little funny dances".

Younger people on TikTok seem to be setting the trends (as it has always been throughout the history), which eventually make their way to Reels, Shorts and etc. So, they think Reels is cringe, as they just copy TikTok.

It's the usual "I don't want to be where the old people are" problem of every tech company that tries to attract younger user base. Similar to why people under 30 would use Facebook's social media section (yes, Marketplace, Groups and etc. are wildly being used by everyone), as that's what their "grandpas and grandmas are doing".

The whole thing becomes a mess and hard to evaluate when you think which app is banned where, so location plays a major role in userbase as well. In the end, I guess both are making a bank somehow.
This is a good addendum to my post, it expands upon it. I don't even take it as a correction, and I learned a bit. Thanks for this.

I don't know who Shoshanna Zuboff is (I'll 'kagi' them), but I agree with the points made. It's been an evolving strategy of how to exploit users as a resource for financial gain or at least cover the costs of the free tier service.
In that case the cookie can at least be scoped to the login form with a Path attribute and limited to the current session, which these aren't. The cookies on https://sentry.io/auth/login/ set without user intervention are valid beyond the current browser session and two of them have durations of a year. One even has Same-Site=Lax!

(It's also not clear to me that cookies are required, if there are other technically sound options that do this without setting cookies.)
Yes, some pipes are needed. Beyond that, you rely on ocean currents. .
Djay Designed for VisionOS
The ePrivacy directive is not that descriptive. The use of this cookie is fine as per legal review.

All our forms have the same CSRF protection, that goes for login and other things too.
HR is in charge of minimizing risk to the company. One thing that is very risky is claiming performance reasons are a reason for firing when it’s really a layoff. Depending on where they are the state will not be happy that they are trying to game the unemployment system, and federally they may be in violation of the WARN act.

HR is the department responsible for knowing this and not allowing this sort of bs.
Session cookies are often encrypted by frameworks using a server side secret.

This allows storing data such as the CRSF token value to check against the one in the hidden form element or X-CSRF-Token without inserting in a DB every time someone loads up a form.

That's how e.g Rails does it by default:

https://guides.rubyonrails.org/security.html#cross-site-requ...

https://api.rubyonrails.org/classes/ActionController/Request...

Note that to prevent session fixation, the session ought to be reset on a successful login (and logout), so it would require additional code to perform tracking across a successful login.

https://guides.rubyonrails.org/security.html#session-fixatio...

Session cookies are also used for Rails flash messages, commonly used to display errors in forms (including login forms), which often do HTTP redirects to GET routes in their non-GET controller actions.

https://api.rubyonrails.org/classes/ActionDispatch/Flash.htm...

https://api.rubyonrails.org/classes/ActionDispatch/Flash/Req...

https://stackoverflow.com/questions/24877244/rails-is-the-fl...

The underlying subtext is that these session cookies can be a necessity of securing the provided service, and thus can fall under valid "strictly necessary" usage, as long as they are not abused for tracking (by default nothing in the session cookie is stored nor logged anywhere)
This was my first thought. They can then sell some poorly-executed knockoff, ignoring that a partnership with actual experts would have been the best for their customers.
Tech Boom, Cheap Capital and Long Term Impact on Wages
It's a joke in reference to the founder of Carta acting bitter upon being caught with his hand in the cookie jar, wherein said founder says that the person who posted about the incident on Twitter should have talked to him first, "founder-to-founder":

https://twitter.com/henrysward/status/1743794996732735679
> Do you think Boeing would have (or could have) swept that under the rug if there was no video of the incident?

Yes. It is way more powerful to actually see what happen than to just hear a report about it. I think it was more powerful than even a plane crash that is not caught on film, even though many people would die.

Do not underestimate the power of photo and video evidence.
The human condition is to constantly fight the unpredictable nature of the universe. Too hard to accept that we can die at any moment (at the end of this week, this day, this sentence even), and so we attempt to create order in the universe by assigning meaning to things which are inherently random, like the number and shape of holes in cheese.
One possible explanation for why these dimensions don't improve the algorithm a lot is that differences in these dimensions don't cause differences in whether users rate a note as helpful or unhelpful -- at least not beyond what can be explained by the primary latent factor. These other dimensions may contribute to other factors of user behavior -- such as which tweets they like and what users they follow. But once we know a user's left-right polarity factor, these other factors don't make a huge difference on whether or not a user ranks a note as helpful (given they rated the note at all). They do make a difference, but since most of the difference is already explained by the polarity factor, they don't add much to the algorithm.
Paid for in exposure
Not surprising at all. I wonder if there's an app or extension that automatically hides these fly by night companies off of amazon. I feel like it would hide 98% of products sold on amazon, but that's a risk I'd be willing to take.
I've seen employees go rogue without even getting fired, so going rogue after getting fired sounds possible.
Preparing the food in front of you does not take into account all of the steps along the manufacturing chain. So maybe it should not be that surprising if everything is stored in plastic tubs, bins, and jars right up until they prepare it.

I try to buy only end products in glass jars, but I know full well that the ingredients and even final product can be stored in plastic all along the way before it is packaged in its final form and sent to the store. Still, I try to buy in glass jars because I haven't fully given in. I figure something that might sit on the shelf still for months could in fact get worse by being in plastic instead of glass, so I will still go for the glass.
Traditionally, if you have a real scene that you want to be able to reproduce as 3D graphics on the computer, you either:

1. Have an artist model it by hand. This is obviously expensive. And, will be stylized by the artist, have a quality levels based on artist skill, accidental inaccuracies, etc...

2. Use photogrammetry to convert a collection of photos to 3D meshes and textures. Still a fair chunk of work. Highly accurate. But, quality varies wildly. Meshes and textures tend to be heavyweight yet low-detail. Reflections and shininess in general doesn't work. Glass, mirrors and translucent objects don't work. Only solid, hard surfaces work. Nothing fuzzy.

Splatting is an alternative to photogrammetry that also takes photos as input and produces visually similar, often superior results. Shiny/reflective/fuzzy stuff all works. I've even seen an example with a large lens.

However the representation is different. Instead of a mesh and textures, the scene is represented as fuzzy blobs that may have view-angle-dependent color and transparency. This is actually an old idea, but it was difficult to render quickly until recently.

The big innovation though is to take advantage of the mathematical properties of "fuzzy blobs" defined by equations that are differentiable, such as 3D gaussians. That makes them suitable to be manipulated by many of the same techniques used under the hood in training deep learning AIs. Mainly, back-propagation.

So, the idea of rendering scenes with various kinds of splats has been around for 20+ years. What's new is using back-propagation to fit splats to a collection of photos in order to model a scene automatically. Before recently, splats were largely modeled by artists or by brute force algorithms.

Because this idea fits so well into the current AI research hot topic, a lot of AI researchers are having tons of fun expanding on the idea. New enhancements to the technique are being published daily.

https://radiancefields.com/
Here is a modern account of a conger eel attack (with a graphic photo). Seems they are quite vicious.

https://m.independent.ie/irish-news/diver-felt-like-a-rag-do...
To the extent that I would accept that religious myths and legends contain truths about humanity, I assert that so too do all the other good stories — that The Fellowship of the Ring was popular because of the Fellowship rather than because of the Ring, that Star Trek and Doctor Who are popular because they gel with the political issues at the time of filming rather than anything to do with subspace fields and the polarities of neutron flows. (Yes, all the settings and technobabble/magical conlangs also allow for very spectacular scenery and events, but I don't think that's what sells them in the long term (it sure does for pure popcorn-spectacle blockbusters, but those are quickly forgotten), for good fiction it's just the icing on the cake).

Likewise for religion, the Greek[0] myths about jealous and infidelious gods speak to mortals in the same situation, and gods playing games with mortals echos with politicians doing the same with their people (especially given the various times and places where leaders have been deified in their own lifetimes).

But there was no Helios driving a chariot across the sky, and Icarus never flew too close to the sun; Ilúvatar never turned the world into a sphere in order that mortal men could no longer sail The Straight Road to Aman; and not only is Noah's Ark nowhere near large enough if taken seriously[1], a majority of Herod biographers and "probably a majority of current biblical scholars" consider the story fabricated or unhistorical[2]. (Also neither of the two kings called Herod line up with the Christian calendar, but a few years here and there is only really a problem for fundamentalists, not normal believers).

[0] now I think about it, it's kinda weird that the Greek ones are more famous than the Roman ones… I suppose the Roman Empire turning Christian part way through has something to do with that?

[1] Depending on which value of cubit you use, about the size of Berlin Zoo's monkey house.

[2] page 171 https://books.google.de/books?id=mWnYvI5RdLMC&q=Herod+and+th...
Right, and I think the distinction he draws between this and engineering is interesting.

My experience (as an engineer) is that engineers get paid to manipulate the world around them in precise, predictable ways. As such, they tend to cultivate a core set of relatively simple principles (e.g. heat and material balances) which they take seriously by using to plan/design/etc their manipulations of the world. The engineer's creativity lies in finding new ways to combine the known-reliable principles, and stake their reputation on the result.

Scientists, on the other hand, are expected to come up with new principles. If they take too many ideas seriously, there is no room left for creative new explanations.

Medicine lies somewhere in between, insofar as doctors are trying to manipulate patient's health with the best principles they can find, but they also have to wear a scientists hat via diagnosis, i.e. figuring out which principles to apply to a patient.

And so the reaction to e.g. fundamentalism makes sense:

An engineer likes having a fundamental set of universal principles, and is comfortable using them to make plans for manipulating the world. They expect the religious world to work the same way as they do, and take those principles seriously.

A scientist wants to know "well I've got a new idea for a fundamental principle, how can we find out if I'm right?" And the fundamentalist has no answer.

A doctor will want to know how certain the fundamentalist is, and how they know those principles even apply to current situation, and the fundamentalist will have no answer.
Echr?
With boxing you know who won because the judges say so. If Scott argues something at a party, and the other person says "I don't know why you are wrong but you are." Who is to say who "won"? Scott comes away thinking he's an amazing thinker. The other person comes away thinking he is a contrarian good at inventing plausible sounding nonsense. Who won here?
Apple released CoreML Stable Diffusion library a little over a year ago [1]. Hugging Face released their version of the example app for the CoreML Stable Diffusion library [2].

The app should be able to run on iPhone 14 Pro, I believe the requirements is about 6-8Gb of RAM. And I was not able to run it on iPhone 13 Mini, because it has only 4Gb of RAM.

- [1] https://github.com/apple/ml-stable-diffusion

- [2] https://github.com/huggingface/swift-coreml-diffusers
They don’t get unemployment benefits or severance? Harsh

Cloudflare is still not profitable right, so payouts for what seems like a routine layoff process probably will remain low to conserve capital.