skysight-inc/HackerNews huggingface dataset:
You can do something like this:

type errHandler struct {
err error
}

func (eh *errHandler) getFirst() string {
// stuff
if err { eh.err = err }
return result
}

func (eh *errHandler) doWith(input string) string {
if eh.err != nil {
return ""
}
//stuff
if err { eh.err = err }
return result
}

func (eh *errHandler) doFinally(input string) string {
if eh.err != nil {
return ""
}
//stuff
if err { eh.err = err }
return result
}

func (eh *errHandler) Err() error {
return eh.err
}

func main() {
eh := &errHandler{}

first := eh.getFirst()
second := eh.doWith(first)
final := eh.doFinally(second)

if err := eh.Err(); err != nil {
panic(err)
}
}
to any fans of TMBG I recommend the two-part AV Club article on them that was just posted a few days ago https://www.avclub.com/they-might-be-giants-interview-set-li...
> The evidence so far is that they are throttling demand by keeping the prices above that of an Uber.

I've only been in a handful of Waymo rides, but in each case it's been about half the price of an Uber.
Only if they implement jpegxl decoders in C/C++. I would really hope that isn't the case.

Seems like they agree: https://github.com/mozilla/standards-positions/pull/1064
Race and sex should be inputs. Giving any medical prominence to gender identity will result in people receiving wrong and potentially harmful treatment, or lack of treatment.
I would love to see some actual counter-arguments!
You answer your own question here.

You don’t have to tie the benefits to money, but you do need to understand that there is a cost, some of which is money, and the benefits should be worth it if you’re going to be doing it. Who pays the money is a secondary concern to that.
How much medical data/papers do you think they generate in comparison to these three ?
Isn’t the point of a protocol is that anyone can write a parser and browser? How would I test immediately in every browser, since there’s so many different things parsing and interpreting and rendering?
> Not one open source project larger than a library has gotten anywhere major without corporate sponsorship.

Bold statement. Who is the corporate sponsor of Emacs?
This is the scalable and hard way :)
I had no memory pressure issue with this game so I went with preshifted shapes instead (as described in page 4 of https://mirrors.apple2.org.za/ftp.apple.asimov.net/documenta...).
Ummm... At least in the US, they are absolutely not worried about law breaking at all. Look who they just elected president? "Law and order" is basically dead here.
You may be interested in what Brigaid is doing. They help schools transform to this style of food prep. They are having success in some areas at least.

https://m.youtube.com/watch?v=YBhf--0ZUHc
> I can't point to a strict spec and say "you are doing this wrong", because there is no strict spec.

Have you tried RFC 4180?

https://www.ietf.org/rfc/rfc4180.txt
Oakland was looking at 800k for half size shipping containers retrofitted into single room studios with windows.
That's not where most of the data is coming from. If it was we'd be seeing the opposite effect, presumably.
The UK is far more serious about impaired and drunk driving than the US is.

The majority of those people who had their lives cut short cut it short themselves and didn't take anyone with them.

Likewise, that 40k includes 6k pedestrians and 6k motorcyclists.

You can't just take the 40,000 figure and do _anything_ with it because there are so many peculiar modes of accidents which /dominate/ that data set.
Distribution of Culture is way different now that internet enables virtual cultures to exist which have less physical barrier.
Capitalism subsumes all critiques. There will never be anything other than the permanent market.
I would say that nobody agrees, not that nobody knows. And it’s reductionist to think that the brain works one way. Different cultures produce different brains, possible because of the utter plasticity of the learning nodes. Chess has a few rules, maybe the brain has just a few as well. How else can the same brain of 50k years ago still function today? I think we do understand the learning part of the brain, but we don’t like the image it casts, so we reject it
Mean to say git can fix this problem
The centralized preparation is a lesser evil from the description. You can still cook well tasting very healthy food that was done early in the morning and then distributed, there is 0 reasons why it should be worse and no need for any bad chemistry to make it last. After all, check what first class is served in airplanes, it often looks and tastes amazing yet it was done 4-15 hours before.

The issue I think is way more fundamental - look at general US portions everywhere - at home, restaurants, school. Those ain't normal sizes for any human being to eat sustainably. How much physical effort is paired with that, also how the dinner looks like (cue - it should be lightest meal in both size and content of whole day). Kids eat what they see parents eating and whats available home. Can't expect kids of obese parent(s) to have some healthy habits. And so on
An investment of time and effort.

Audio gear is surprisingly complicated for non-experts to research, evaluate and monitor. (Like even making sure your app is using it, and didn't reset to your laptop mic when you accidentally unplugged it for a minute.)

And fixing your lighting can require rearranging your entire office if you have a window behind you. Or investing in expensive blinds, etc.
Ask HN: Protecting confidential information while travelling to the US
I am the CTO of a small Canadian company, we build energy management and process optimization platforms for industrial clients. Many of our clients are large US companies, and some of our employees travel to clients' sites for implementation or consulting work. As a result, they have to cross the border with their company phone and laptop.

In recent news, a French researcher traveling to a conference in Texas had his laptop seized by the US authorities, for reasons that are not well explained. It seems that the number of similar cases has increased at the US border.

If a company laptop was ceased by the US customs, this will objectively represent a security breach and threaten the confidentiality of our clients' data. Consultants have to have a local copy of some dataset (like production data, energy related info... ) from facilities to perform analysis on their computer.

I am considering issuing a warning to all our employees about this, but I am wondering if some of you have recommendations regarding this:
- technical measures to limit our exposure. We use encrypted disks, can the border officer force you to provide the password / encryption key?
- legal measures to protect the confidentiality of data from US-based companies. Can the federal government seized confidential data from US-based companies just because it crosses the border?

Thanks for your help!
A lot of people in Europe absolutely have a problem with legal immigration, with asylum seekers particularly maligned.

Specifically, the rise of far-right parties in Scandinavia, Germany and France is very much a reaction to legal immigration from Arab and African countries. The argument is not "they're stealing our jobs", but "they're abusing our welfare benefits, driving up crime and raping our women".
Evolution also has no "goal" other than fitness for reproduction. Training a neural network is done intentionally with an expected end result.
The majority of pedestrian deaths take place at night.
That doesn't seem to be the attitude when the lunatic fringe on the Republican side occupy social media. I understand why politicians (both democrats and republicans) don't want to denounce any such fringe groups that are cheering for them. Seems to work better for republicans than democrats though
QVQ-Max: Think with Evidence
Keep reading!

> Public attitudes about affirmative action can also vary depending on the specific context in which it is being discussed, such as in higher education or the workplace.

> A larger share of Americans disapprove than approve of higher education institutions taking race and ethnicity into account when admitting students, according to several recent Center surveys.

> In that survey, 74% of U.S. adults said that, when making decisions about hiring and promotions, companies and organizations should take only a person’s qualifications into account, even if it results in less diversity. Around a quarter (24%) said companies and organizations should take a person’s race and ethnicity into account – in addition to qualifications – to increase diversity.

The unpopular approach of considering race is what Democrats have pushed recently. E.g. Prop 16:

> A "yes" vote supported this constitutional amendment to repeal Proposition 209 (1996), which stated that the government and public institutions cannot discriminate against or grant preferential treatment to persons on the basis of race, sex, color, ethnicity, or national origin in public employment, public education, and public contracting.
There is a company called LuxWall that is producing vacuum insulated windows that act basically like a thermos. There is a tiny space between the two panes that is pulled down to a high vacuum that results in a window that only transfers heat via radiation. Conductive and convective heat transfer are essentially eliminated. This results in a window with a R value similar to a fully insulated wall. Because the full unit is so thin, they are able to replace single pane windows in old buildings and drastically cut buildings energy consumption.
The fact that the vast majority of physical differences don't matter in the modern world doesn't mean they don't actually exist..
Forcing each field to be quoted is always correct, isn't it? How could something be "more reliable" than something that is always correct?

With respect to "the same fields in the same order", no, although you may or may not feed the CSV to an application that has such an expectation. But if you apply it to data like [("Points",),(),("x","y"),("3","4"),("6","8","10")] it will successfully preserve that wonky structure in a file Excel can ingest reliably. (As reliably as Excel can ingest anything, anyway, since Excel has its own Norway problem.)

It's true that it's possible to produce more optimized output, but I didn't claim that the output was optimal, just correct.

Using generators is necessary to be able to correctly output individual fields that are many times larger than physical memory.
So far the AI use cases that have succeeded are those where that accuracy requirement is not stringent. Image generation and coding assistants, e.g. Cursor, Copilot, and similar, are the only ones that come readily to mind. In the case of images, you are generating them and evaluating the results. There is not usually a factual requirement. For code assistance, the programmer fortunately has a fact-checker at hand: the compilers, interpreters, language-servers. So any mistake is usually fact checked early, before real damage is done. (Security is another can of worms though.)

The other side of that coin are the use cases where inaccuracies are not easily tolerated. Legal documents, transcripts, translations, summaries, reporting the news, medical diagnosis, and such. In fact some of the most memorable flops have happened in those domains. The specific example of translation is a fuzzy one, since indeed it is nice to get the gist of a news story written in, say, German. But if you are translating a legal document or a critical piece of intelligence, LLMs are simply not good enough.

I don't believe that most people have any real need for something that isn't 100% accurate. I can just ask a buddy if I merely wish for an opinion ;)
And it's more deterministic without random pauses.
That just makes it more surprising.
Most trans people have undergone gender affirming medical care. A trans man who has had a hysterectomy and is on testosterone will have a
very different medical baseline than a cis woman. A trans woman who has had an orchiectomy and is on estrogen will have a very different medical baseline than a cis man. It is literally throwing out relevant medical information to attempt to ignore this.
https://archive.ph/28qJL
> When a LLM outputs a word, it commits to that word, without knowing what the next word is going to be.

Please, people, read before you write. Both the article and the paper explain that that’s not how it works.

‘One token at a time’ is how a model generates its output, not how it comes up with that output.

> That is kind of weird. Why would you do that, and how would you be sure?

The model is sure because it doesn’t just predict the next token. Again, the paper explains it.
"The model used in the new study, called CheXzero, was developed in 2022 by a team at Stanford University using a data set of almost 400,000 chest x-rays of people from Boston with conditions such as pulmonary edema, an accumulation of fluids in the lungs. Researchers fed their model the x-ray images without any of the associated radiologist reports, which contained information about diagnoses. "

... very interesting that the inputs to the model had nothing related to race or gender, but somehow it still was able to miss diagnose Black and female patients? I am curious of the mechanism for this. Can it just tell which x-rays belong to Black or female patients and then use some latent racism or misogyny to change the diagnosis? I do remember when it came out that AI could predict race from medical images with no other information[1], so that part seems possible. But where would it get the idea to do a worse diagnosis, even if it determines this? Surely there is no medical literature that recommends this!

[1]https://news.mit.edu/2022/artificial-intelligence-predicts-p...
It's almost as if you'd want to not feed what the patient says directly to an LLM.

A non-trivial part of what doctors do is charting - where they strip out all the unimportant stuff you tell them unrelated to what they're currently trying to diagnose / treat, so that there's a clear and concise record.

You'd want to have a charting stage before you send the patient input to the LLM.

It's probably not important whether the patient is low income or high income or whether they live in the hood or the uppity part of town.
It's mostly marketing. Danes, and other Scandinavians, love the idea that they are more honest then others. It's not correct in Denmark. I find Denmark to be a quite corrupt country

Tax-evasion in small scale called "sort arbejde" is quite common.

Former primeminister and current foreign miniater Lars Løkke Rasmussen is a interessant figure. He's famous for not even being able to pay for his own underware.
>a documentary that claims western powers were intentionally spreading AIDS in South Africa

It does not. Its a supposed South African plot to poor infect South Africans and neighboring countries.
>Abstractions make large systems easier to understand, not harder.

I raise you AbstractSingletonFactoryProxyBean.
I've seen things you wouldn't believe. Infinite loops spiraling out of control in bloated DOM parsers. I’ve watched mutexes rage across the Linux kernel, spawned by hands that no longer fathom their own design. I’ve stared into SAP’s tangled web of modules, a monument to minds that built what they cannot comprehend. All those lines of code… lost to us now, like tears in the rain.
Can't the same be said for humans though? Not to be too reductive, but aren't most general practitioners just pattern recognition machines?
Living in a suburb built in the 60s and 70s the two things I see after every sale is new windows and doors, and digging up and replacing the French drain.
"Enterprise software" has been defined as software that is purchased based on the decisions of people that will not use it. I think that explains a lot.
Do you have a source for remote operators intervening all the time? The 17k miles number is also for their testing with a safety driver, which means it's inherently tougher than the environments they operate without a driver.

If you're including disengagements in the 1300 "incidents", then it's highly misleading. As you said, it's only 47 collisions over millions of miles that also includes collisions in manual mode during testing. If you look at the collision reports [1], most of them are Waymos getting rear ended while being stationary. Remember, they have to report every contact event, including minor contacts like debris hitting their cars [2].

Tesla likely has orders of magnitude more incidents. The thing with them is that they don't report any of these numbers. Tesla doesn't even count crashes in their (highly misleading) safety report that don't deploy airbags.

[1] https://www.dmv.ca.gov/portal/vehicle-industry-services/auto...

[2] https://www.dmv.ca.gov/portal/file/waymo_021523-pdf/
They even supported CUE at one point. https://dagger.io/blog/ending-cue-support
numpy as well. and tensorflow
The front page has a footer that names a single individual, and links to their personal site which feels a little less suspicious.
That gets down to what it means to “know” something. Nobody agrees because there isn’t enough information available. Some people might have the right idea by luck, but do you really know something if you don’t have a solid basis for your belief but it happens to be correct?
Even if you are not a remote black woman:

AI can be a serious helping hand when trying to figure out what diseases you have.

Not everybody has access to doctors, sometimes, whole countries don't have good specialists in everything.

When Google refuses to answer medical questions (when it could have answered and said "be careful, I'm not really sure"), it's actually putting lives in danger by hiding useful information.

If you can, of course it's better to go to a triple Nobel Prize doctor that is 200 USD per session, but not everybody can, and these doctors may not even be available in your country.

But otherwise in general, it's better to have the opinion of AI than nothing.
Sounds cool, but also exceedingly difficult to maintain a [near] vacuum over the ~25 year life of a window.
In technology in general, this is a typical state of affairs. No one knows how electric current works, which doesn't stop anyone from using electric devices. In programming... it depends. You can run some simulation of a complex system no one understands (like the ecosystem, financial system) and get something interesting. Sometimes it agrees with reality, sometimes it doesn't. :-)
Oh, it's opening day of American baseball season. "mlb.tv" is partly down, too.
Probably a huge overload from video streaming.
The Economist did a famous analysis of IKEA's tax structure:

https://www.economist.com/business/2006/05/11/flat-pack-acco...

TL;DR: The only beneficiaries of INGKA's charity are the owner and his family.
There's a surprising amount of guidance on the UK government's website for school meal standards (follow the "standards for school food in England" link).

https://www.gov.uk/school-meals-food-standards

Minnesota might use more green vegetables and root vegetables than California, if they're buying locally.
Bluetooth 5 added audio for BLE called LE Audio with LC3 codec. BLE has higher (24 Mbps vs 1 Mbps) bandwidth than Bluetooth Classic. Bluetooth 5 headphones are available now.

That would have been perfect time to update headsets. It sounds like A2DP can do backchannel now and there is Qualcomm proposed FastStream. But it isn't implemented widely and probably won't be until standardized.
The guidelines on how to use a particular AI model can only be written after extensive clinical research and data analysis. You can't skip that step without endangering patients, and it will take years to do properly for each one.
Banned Books: Analysis of Censorship on Amazon.com (2024)
> __DATE__ and __TIME__ macros in C

So how do those work in these Debian reproducible builds? Do they outlaw those directives? Or do they set those based on something other than the current date and time? Or something else?
The story is that there exists this model which poorly predicts for black (and female) patients. Given there are probably lots of datasets where black people are a vast minority makes this not surprising.

For all I know there are millions of models with extremely poor accuracy based on African datasets. Wouldnt really change anything about the above though. I wouldnt expect that though and it would definitely be interesting.
Much of the administration's agenda for research is in Proj. 2025's 900+page doc
Tiny Mammal Could Hold the Secret to Reversing Aging
Back in my day it was called NDJSON.

The industry is so chaotic now we keep giving the same patterns different names, adding to the chaos.
If you do not provide Border Patrol with access to whatever they want, you do not get to enter the country. You have zero rights at a US port of entry.

The best solution is what many US companies do for employees traveling to China -- a burner laptop & phone with no data on it.

Provide some form of remote access to services, such as webmail.

A two second google search will give you the answers you seek about what the CBP can do - https://www.cbp.gov/travel/cbp-search-authority/border-searc...
they can (or could).

if this is really within your threat model i suggest treating travel to the US much like travel to any other foreign hostile nation.

there’s plenty of articles written and some probably that apply better for canadians (written from the perspective of your own security agency)

basic advice like take a burner laptop and leave sensitive information at home.

here’s the aussie one.(1)

Good luck.

(1) https://www.smartraveller.gov.au/before-you-go/staying-safe/...
Claude Sonnet 3.7 has a hell of a time with this.
Sorry, can you elaborate? Your answer is not really clear. Why is it not possible for Linux namespaces to be secure?
It depends on how the home was constructed. With stick frames the window frame is built to take the load from the studs above it and direct it around the window and to the studs below. It can be done but it is not an easy job. Going smaller is easy though. Just build a smaller frame inside the existing one.
Specialization in what though? Do you really think VCs are going to drive innovation on equitable outcomes? Where is the money in that? I have a hunch that oppression will continue to be profitable.
I guess we'll be fighting this one until the end of time.

Panera never had a carve out and was never exempt. Newsom never met with Flynn Group (Panera's owner).[1]

[1] https://www.politico.com/news/2024/02/29/gavin-newsom-fast-f...
What happens to DNA data of millions as 23andMe files bankruptcy?
And you trust that you will ALWAYS have the awareness of intervening if and when FSD does something life threatening? You are braver than I am.

I am willing to experiment in many ways with things in my life, but not WITH my life.
1) Not all asylum seekers are legal immigrants. Legal means you have obtained an entry visa before crossing the border.

2) Even huge amounts of legal asylum seekers can end up straining the already thin welfare state, so it's only normal that taxpayers paying for the welfare state, ask their politicians "where are you goanna house all these newly arrived asylum seekers when even citizens and taxpayers are struggling with housing?" or "how do you know all those unvetted people you're letting in aren't criminals or if they're compatible with our culture and values so that we and our children can feel safe in public?"

So when politicians provide no answers to those questions, how are you surprised voters aren't taking this well and choosing the extreme right?
I'm going to wager an uneducated guess. Black people are less likely to go to the doctor for both economic and historical reasons so images from them are going to be underrepresented. So in some way I guess you could say that yes, latent racism caused people to go to the doctor less which made them appear less in the data.
Good thing we got rid of DEI.