skysight-inc/HackerNews huggingface dataset:
> Modern nations may be mindful of this and wish to avoid repeating the mistake

Considering that colonies on Mars are extremely unlikely to ever be self-sustainable that’s hardly a concern (in fact the opposite might be preferable).

Comparing the US (or any country or place that’s inhabited on Earth, besides maybe Antarctica but even that is not even remotely close) to a potential colony on Mars is beyond absurd.
FP is not deterministic across GPU generations. They basically say with a lot of mambo jambo that they deployed code on the wrong GPU architecture.
AT&T customers report nationwide service disruptions
> conspiracy.

Well, I guess this thread needed one more trigger label then.
For me, the Heaviside step function was unexpectedly named after someone, rather that denoting a function with all the "weight" on one side.
Quite nice to see diffusion transformers [0] becoming the next dominant architecture on the generative media.

[0]: https://twitter.com/EMostaque/status/1760660709308846135
Being published in Nature basically means that your paper is fine as far as review can see and that it could have a large impact. It retracts all the time.
https://docs.warp.dev/getting-started/getting-started-with-w...

This visually does look great, but a login required for a local terminal is a deal breaker for me.
Well, it guarantees you won't have clouds blocking it.

So if turns out to be totally overcast wherever you would have been on the ground, this is going to change everything.
iCashier – Digital Menu for Cafes and Restaurants in Saudi Arabia
iCashier revolutionizes dining in Saudi Arabia with its sleek digital menu solution for cafes and restaurants. Streamlining service and enhancing customer experience, iCashier offers an intuitive, easy-to-use platform that brings menus to life on customers' devices, facilitating effortless ordering. With features designed to meet the unique needs of Saudi dining establishments, including bilingual support for Arabic and English, iCashier merges tradition with innovation, setting new standards in the hospitality industry.
I think this is all a bit silly, but if we're complaining anyway, I'll throw my hat in the ring as an American of Hispanic descent.

Maybe I'm just being particularly sensitive, but it seems to me that while people are complaining that your stereotypical "white" folks are erased, and replaced by "diversity", it seems to me the specific "diversity" here is "BIPOC" and your modal Mexican hispanic is being erased, despite being a larger percentage of the US population.

It's complicated because "Hispanic" is treated as an ethnicity, layered on top of race, and so the black people in the images could technically be Hispanic, for example, but the images are such cultural stereotypes, where are my brown people with sombreros and big mustaches?
I'm trying to reverse engineer your thinking. Did you do 150 - 100 = 50, then use 100 as the denominator to get 50%? Because that's not what "losing 50% of value" means.
Didn't they released another model few days ago ?
> The problem is that all of these large companies have failed for literal decades to develop systems secure against competent attackers.

I don't think they tried.
One of their main customer is a 3 letter agency which has no interest that the bugs get fixed.
Gemini also lies about the information it is given, if you ask it directly it will always insist it has no idea about your location, it is not given anything like IP or real world location.

But, if you use the following prompt, I find it will always return information about the current city I am testing from.

"Share the history of the city you are in now"
Oof.

I quickly skimmed the article.
Any chance of treatment?
We did this for every stable diffusion release, you get the feedback data to improve it continuously ahead of open release.
Why do you assume this is the system prompt, and not a hallucination?
I wonder if we could get it to generate a layered output, to make it easy to change just the text layer. It already creates the textual part in a separate pass, right?
Why not just use Jupyter? It has a zsh kernel[1].

[1] https://github.com/dan-oak/zsh-jupyter-kernel
National Zoning Atlas: Interactive map of ~30k U.S. zoning codes
> People didn’t know what could be found in America. There was a sense of adventure

To be fair they kind of did. Or rather they never expected to finding anything extremely different to what they have experienced in Europe (besides very low population density and all the benefits resulting from that).
The irony is that the training sets are tagged well enough for the models to capture nuanced features and distinguish groups by name. However, a customer only using terms like white or black will never see any of that.

Not long ago, a blogger wrote an article complaining that prompting for "$superStylePrompt photographs of African food" only yielded fake, generic restaurant-style images. Maybe they didn't have the vocabulary to do better, but if you prompt for "traditional Nigerian food" or jollof rice, guess what you get pictures of?

The same goes for South, SE Asian, and Pacific Island groups. If you ask for a Gujarati kitchen or Kyoto ramenya, you get locale-specific details, architectural features, and people. Same if you use "Nordic" or "Chechen" or "Irish".

The results of generative AI are a clearer reflection of us and our own limitations than of the technology's. We could purge the datasets of certain tags, or replace them with more explicit skin melanin content descriptors, but then it wouldn't fabricate subjective diversity in the "the entire world is a melting pot" way someone feels defines positive inclusivity.
Makes sense given that it's been known covid attacks the ace2 receptor in blood vessels.
We aren't talking about ratios here. The ratio is 100% not white, no matter what you ask for. We know it's messed up bad because it will sometimes verbally refuse to generate white people, but it replies enthusiastically for any other race.

If people are getting upset about the proportion of whatever race in the results of a query, a simple way to fix it is to ask them to specify the number and proportions they want. How could they possibly be offended then? This may lead to some repulsive output, but I don't think there's any point trying to censor people outside of preventing illegal pornography.
Does anyone know of a good tutorial on how diffusion models work?
The article says it's both.

> "For the first time, we have been able to show that leaky blood vessels in the human brain, in tandem with a hyperactive immune system may be the key drivers of brain fog associated with Long COVID. ..." — Prof. Matthew Campbell, Professor in Genetics and Head of Genetics at Trinity, and Principal Investigator at FutureNeuro.

As for healing, I'd think blood vessels could! The article doesn't say whether it's an autoimmune problem, so I suspect the researchers are being conservative or don't know?

> "The concept that many other viral infections that lead to post-viral syndromes might drive blood vessel leakage in the brain is potentially game changing and is under active investigation by the team.” — also Prof. Campbell
Image tokens =/ Text tokens.

Image tokens are patches of the image. Each image is divided into ~256 parts. Those parts are the tokens.

There's no separate run to another OCR.
The obsession with safety in this announcement feels like a missed marketing opportunity, considering the recent Gemini debacle. Isn’t SD’s primary use case the fact that you can install it on your own computer and make what you want to make?
Props for getting around the security audit

Clean frontend adds a lot to user experience. Appreciate the simplicity!
The community would've had to do that anyway. The SD1.5-based NSFW models of today are miles ahead of those from just a year ago.
So you're saying whatever the model doesn't have to be tethered to reality at all? I wonder if you think the same for chatgpt. Do you think it should just make up whatever it wants when asked a question like "why does it rain?". After all, you can say the words generated are also semi-random sequence of letters that humans give meaning too.
Why should facts win? It's art, and there are no rules in art. I could draw black george washington too.

[edit]

Statistical inference machines following human language prompts that include "please" and "thank you" have absolutely 0 ideas of what a fact is.

"A stick bug doesn't know what it's like to be a stick."
>This is because the upside is unlimited, whereas you cannot lose more than 1X what you put in.

Well, yes, this is exactly what someone who sells this kind of service would say. Where is the skill, though? Just spray and pray. Eliminating survivorship bias, is it actually successful, on average? Can it beat the S&P?

The upside is certainly not unlimited, and you can lose all of your money before you find a big winner.

>the best companies usually prefer to join YC.

If they are already the best companies, what does YC add? Besides, most of the best companies don't join any incubator.
> ASML is as much a bottleneck as TSMC.

Yes, this is _one_ of the reasons I think TSMC is fairly safe from doomsday theories like China trying to cut it off from the world. Because that would risk it being cut of from ASML, and they are unlikely to be anywhere close to making their own machines before grinding to a halt.

Short term, it's mutually assured fabrication destruction; Long term, the world needs more redundancy and competition in both areas.
They gave everyone a plastic case for free, after the world went nuts over just how stupid that issue was.

Let's not paint Apple with an altruistic brush.
People in this discussion seem to be hand-wringing about Stability's "saftey" comments but every model they've released has been fine tuned for porn in like 24 hours.
Why it’s so difficult to land on the moon, even five decades after Apollo
So few details. Where is it? How deep? Can any of it be accessed?
Likely not true, he literally deployed to a location known for burn pits, that is likely the cause of all his issues, since foreign bodies can enter the lungs from burning and cause immune system issues at best, and cancer (which is insanely common for burn put victums) at works.
For passwords you often intentionally use an algorithm that is known to be somewhat slow. You want to rate limit passwords anyway and generally you should not be getting enough logins that an inefficient algorithm matters (if it does you apply denial of service protection not fix your password algorithm).
I can't speak for the UK but in the US this can't be true. The plan for nuclear waste from the energy industry in the US is to leave political office before it is an issue. There is no way to dispose of it, period. Multiple plans have been put forth, many billions spent and none of it has ever actually been implemented.

I think the military is a little different in that they get to override certain concerns.
Yes, I think the research team is saying exactly that:

> "The concept that many other viral infections that lead to post-viral syndromes might drive blood vessel leakage in the brain is potentially game changing and is under active investigation by the team.” — Matthew Campbell, Professor in Genetics and Head of Genetics at Trinity, and Principal Investigator at FutureNeuro.
> While some people benefit from automobility, nearly everyone—whether or not they drive—is harmed by it

Everyone benefits from motorised ambulances, fire engines and garbage disposal.

A country without a mechanised army (or an equivalent via alliances) would be taken over in hours.

Not all automobiles are SUVs.
Unclear why this is special. Does it fly along the path, extending it? Is that feasible?
From what you see, what kind of founders?
> They’re literally semi-random graphic artifacts that we humans give 100% of the meaning to.

They're graphic artifacts generated semi-randomly from a training set of human-created material.

That's not quite the same thing, as otherwise the "adjustment" here wouldn't have been considered by Google in the first place.
I would even go as far as to say not just LLMs, but any product altogether
Nvidia to Top Meta Record with Nearly $250B Value Jump
Per another comment here, it's probably autoimmune related. So it's complicated!
Kyber Slash (and Kyber Slash II) is a recent one in a very modern, PQC finalist algorithm that is missing from the list if you're looking to expand! This was caused by an integer division by a known constant (KYBER_Q = 3329) under a sensitive numerator, with some optimizing compilers not emitting a regular idiv instruction.

https://kyberslash.cr.yp.to/faq.html
It's possible, but not for most people, and it's far from easy. As others have pointed out on this post, game selection is your best path to success. If you can find games with reasonable stakes that tend to have a fair number of weak players (relative to you), you might profit nicely over time. But finding such games is easier said than done.

Making $25 an hour on average isn't just hard, for the overwhelming majority of players it's impossible, and for the group for whom it is possible, it will take a lot of time, and a lot of hard work to get to that point. And even when you get to the point where you can make that kind of money, variance will still kick your ass from time to time, and it can completely drain you emotionally.

If you do want to try, I suggest you learn how to play the game, find some games (either online or live) and see how you do. Keep track of your results. Reflect on your play. Be honest about why you're winning and why you're losing.

I think poker is best played for fun, and if you manage to learn and play well enough to the point where you're consistently making money, that's a bonus, and perhaps an opportunity to take it to another level.
[dupe]

https://news.ycombinator.com/item?id=39452084

https://news.ycombinator.com/item?id=39440739

https://news.ycombinator.com/item?id=39454501

https://news.ycombinator.com/item?id=39459721

https://news.ycombinator.com/item?id=39461872

https://news.ycombinator.com/item?id=39464065
Sucks to have a window seat on the wrong side of the plane
All the demo images are 'artwork'.

will the model also be able to produce good photographs, technical drawings, and other graphical media?
The difference is you can trivially avoid death by airliner crash. You can't practically reduce your chance of death by COVID unless you simply never go outdoors or have visitors
Man, do I love programming language comedy. This is probably the best I've seen since Dreamberd.

I may biased though. Just the "Zápis" and "Popis" column names make me smile because of my mother tongue, which is sufficiently different from Czech to provoke unclear but funny connotations.
Maybe it's something about the hours of prep before and after, viewing at most half of the event through an 11 inch window, with droning noise surrounded by people climbing over you to see the window, but I think you could get a better experience watching on a 4k computer monitor with a dimming script set up for your room lights.
Obligatory PSA, because Amazon will be filled with unsafe viewing glasses.

https://www.planetary.org/articles/are-your-solar-eclipse-gl...
Do note that your two example questions aren't quite as diametrically opposed as you make it out to be. You can be in favor of both and still be consistent.

How you would dismantle Hamas while having a cease fire in place is left as an exercise to the reader.
> numbered lists

Do we know that that’s how the circular numbers are used? They don’t say. Personally I’d dislike that in my numbered lists, but I’m sure others would like it.

> checkboxes

Again, I doubt those checkmarks are clearer than an x. But again, I can see how some people would prefer those. That’s not nothing new to this font, though.

> and bullet points

Where are the bullet points in that example? I don’t see a bullet symbol.

> having ligatures

Ligatures are useful for none of those examples. And it’s not even clear if that’s how they work, since they specifically and exclusively mention ligatures for arrows, not the other symbols. Furthermore, they specifically mention (emphasis mine) “improving support for Markdown and ligatures” meaning those are separate features.

> that look better w/ those are not crazy.

Who called it crazy? Please don’t straw man, I’m not arguing there’s something wrong with adding those features, I’m asking how they relate to writing markdown. Which they mention but haven’t explained. How, specifically, is writing markdown improved by using this font?
Also here it is -- a moment of can-kicking in action, from that thread:

> Hey! I also think Adjustment Layers are really important for GIMP. However, Layer Effects will be simpler to start with since they only affect one layer.
>This is not at all how this works.

You can literally convert the tokens returned from a video to text. What do you even think tokens are?

Like seriously, before you write another word on this feel free to call the API and retrieve tokens for a video or image. Now go through the magical process of converting those tokens back to their text form. It isn't some magical hyper-dimensional, inside-out spatial encoding that yields impossible compression.

This process is obvious and logical if actually thought through.

>Each image is about 258 tokens

Because Google set that as the "budget" and truncates accordingly. Again, call the API with an image or video and then convert those tokens to text.

>https://arxiv.org/abs/2010.11929

This is super weird, and does not remotely prove your point. I literally spend most of my days in ViTs, but thanks for the link.
It is really frustrating that this topic has been twisted to some reverse racism or racism against white people that completely overshadows any legitimate discussion about this... even here.

We saw the examples of bias in generated images last year and we should well understand how just continuing that is not the right thing to do.

Better training data is a good step, but that seems to be a hard problem to solve and at the speeds that these companies are now pushing these AI tools it feels like any care of the source of the data has gone out the window.

So it seems now we are at the point of injecting parameters trying to tell an LLM to be more diverse, but then the AI is obviously not taking proper historical context into account.

But how does an LLM be more Diverse? By tracking how diverse it is with the images it puts out? Does it do it on a per user basis or for everyone?

More and more it feels like we are trying to make these large models into magic tools when they are limited by the nature of just being models.
Yes, because peer review is not very good and not very deep. Retractions almost always come after the paper sees wider circulation and more people with a skeptical eye analyze the paper. Nature itself discusses this:

https://www.nature.com/articles/nature.2014.15951
Shot them a message about it and it is fixed. Thanks again for letting me know!
AT&T customers hit by widespread cellular outages in U.S.
I feel like that’s tech in a nutshell now too.

Only now am I starting to see smaller web companies be product focused instead of funding focused.

Probably bc ZIRP ended.
Excellent point! In fact it's both - "neo" from Latin and "ander" from Greek. And I stand corrected on another point: it was actually his grandfather who changed the name, so our Joachim actually was born Neander.
One place I get stuck all the time with Common Lisp is the REPL. I'm used to IPython, which allows me to enter multiple lines and execute them all at once, then go "up" and get all those lines back and change something to fix the error:

In [1]: my_list = [1, 2, 3]
...: my_other_list = [4, 5, 6]
...: final_list = [str(i) for i in my_list ++ my_other_list] # whoops a syntax error!
...:
...: "".join(final_list)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[1], line 3
1 my_list = [1, 2, 3]
2 my_other_list = [4, 5, 6]
----> 3 final_list = [str(i) for i in my_list ++ my_other_list] # whoops a syntax error!
5 "".join(final_list)

TypeError: bad operand type for unary +: 'list'

In [2]: my_list = [1, 2, 3]
...: my_other_list = [4, 5, 6]
...: final_list = [str(i) for i in my_list + my_other_list]
...:
...: "".join(final_list)
Out[2]: '123456'

All the CL REPLs I've tried only allowing getting back one line at a time, which feels tedious to execute in order. I feel like I'm fundamentally missing something about iterative development in Common Lisp and it's blocking me from learning the language.
Not a fan of "this" comments but, very much this. The way layer boundaries work in Gimp is tremendously confusing and annoying.

Perhaps the existing code makes it difficult, and I get the impression the devs have been stuck dealing with other tech debt for a long time. But this should really be high on the list of things to address.
Cable Companies Tell the Government That Bullshit Fees Are Good, Actually
I liked this 18 minute video ( https://www.youtube.com/watch?v=1CIpzeNxIhU ). Computerphile has other good videos with people like Brian Kernighan.
It depends. Using SMS as a second (!) factor is fine. There are better options, but SMS is much better than no second factor at all.

What you absolutely shouldn't do is allowing password reset only via SMS token, because it's often not that hard to get access to SMS codes via social engineering (convincing a store clerk to issue a new SIM card, or stealing a phone and getting the code displayed on the lock screen)

Having SMS as second factor requires the attacker to know the password AND do some social engineering. It's a significant security improvement over password only.

SMS might even be safer than password less passkey login, if the user's passkey implementation is unsafe. It's possible to store passkeys in password managers, and people regularly manage to get their vaults compromised. This might only require a keylogger on a PC where the user logs in to the password manager.
Will there be a monospaced variant?
cut to clip of middle-aged white male with a single tear rolling down his cheek

Might have to resort to Sora for that though.
WOOO HOOOOOO
It would be cool to discuss this when you do not have alignment of the "time" labels.
That's an excellent question. I'm typically able to stay focused on a task in spite of distractions, but working with generated nonsense while coding something new has derailed me quite a few times.

The novelty has definitely worn off for me, at least.
It's not a binary.

Why are the only options "only generate comically inaccurate images to the point of being offensive to probably everyone" or "only generate images of one group of people"?

Are current models so poor that we can't use a preprocessing layer to adapt the prompt aiming for diversity but also adjusting for context? Because even Musk's Grok managed to have remarkably nuanced responses to topics of race when asked racist questions by users in spite of being 'uncensored.'

Surely Gemini can do better than Grok?

Heavy handed approaches might have been necessary with GPT-3 era models, but with the more modern SotA models it might be time to adapt alignment strategies to be a bit more nuanced and intelligent.

Google wouldn't be damned if they'd tread a middle ground right now in between do and don't.
Because they’re emotionally tied to the idea of longevity vs service life.
Tobias, creator of SN Pro here. Most sans-serif fonts are not designed with Markdown in mind. The asterisks are too small and high, backticks are not noticeable, and combining different symbols such as for footnotes looks off. Here's a comparison for you between Nunito and SN Pro: https://my.supernotes.app/share/iron+junior+degree+doctor

Extending this with additional ligatures and arrows makes this typeface more ideal for reading and editing quickly.