skysight-inc/HackerNews huggingface dataset:
The letter from the AG is here:
https://www.icann.org/en/system/files/correspondence/becerra...

It opens with this:

My office has “responsibility for supervising charitable trusts in California, for ensuring
compliance with trusts and articles of incorporation, and for protection of assets held by
charitable trusts and public benefit corporations…” (Gov. Code, § 12598.) My office is tasked
with the authority to “investigate transactions and relationships of corporations and trustees…for
the purpose of ascertaining whether or not the purposes of the corporation or trust are being
carried out in accordance with the terms and provisions of the articles of incorporation or other
instrument.” (Gov. Code, § 12588). To that end, my office conducted an investigation of
ICANN and its role in approving the transfer of the .ORG Registry Agreement from the Public
Interest Registry (“PIR”) (the supporting organization to the Internet Society (“ISOC”)) to Ethos
Capital...

and yes, ICANN is based in California, so it seems they could possibly have their charter revoked if they sell and the AG comes after them (IANAL).
100% not true. Who accepts payments using Line in china?

Wechat was doing 1 billion transactions PER DAY. Revenue for 2019 from fintech (wechat pay etc) was up something like 30% + (100B RMB?)

All these competitors "catching up" to wechat - I mean, is line even profitable or at similar scale?
With only 30 people in the negative control group, the confidence interval on the false positive rate would easily swamp out the results of the study for 1.5% positive sample ratio, no?

Seems kind of useless unless your control group is a lot larger, and the false positive rate can be shown to be <<1.5%.
Real Sysadmins Don't Sudo
I would hope the state of California would care. I have no idea how you're meant to try to enforce your rights under CCPA other than by hiring a lawyer.

I filed a complaint with my local data protection authority a couple of years back. We had to integrate a credit reporting API and I noticed that it required no authentication other than a username. I also observed that who was preforming the check was a field we could specify in the request and it was not validated (I did a check on myself with the SoapUI default of '?'). I did not receive a response. So unfortunately I think our options for actually enforcing our rights are probably limited.

Still, I guess we'll find out if Clearview takes GDPR any more seriously than CCPA.
Using these processed images for evidence purposes sounds like precisely what the parent comment is concerned about.
Suddenly I'm getting a throwback to the "Aaron A Aaron" scene from Hot Fuzz
The wikipedia page has a bunch of sources in the references: https://en.wikipedia.org/wiki/Ethos_Capital
You're explicitly allowed to put up signs in the break room, and the cost of the break room existing is DEFINITELY non-zero. Explain to me how those things are different? Email is the workplace.
They say they scraped the open web - so for example this would include many of our personal sites, many of which have profile pictures.
For myself, I took the picture on my site, and it's under a: Attribution, NonCommercial, NoDerivatives CC license. I'd argue that

1. Using my/anyone's profile picture in an AI system for profit is commercial use.
2. A neural network is a derivative work of all images used to train that network.
Well and I say this not even to indite China. Maybe they really and truly believed at the time there wasn’t human transmission. Maybe a virus originating in France or the US would have played out mostly the same way. (I doubt it, but that’s irrelevant)

My point was just that with the information we had in December, there was no way politically to enact the extraordinary (and extraordinarily damaging) measures that would have been required to prevent an epidemic.

Not only was it politically untenable (Trump was only acquitted on February 5th!) but it was simply scientifically unsupported and unjustifiable at that time.

IMO even with hindsight being 20/20 I can’t say given the information we had on January 1 that we could or should have done any differently than the travel ban on January 31st, which itself was extraordinary. Everything post January 31st however is an absolute boondoggle of the highest degree.

As far as PPE and testing capacity, I believe those are both systemic issues which needed to be dealt with years ago. Good luck with the US trying to procure a billion masks from China right at the onset of their own health crisis — imagine how that would play out with 1,000s of deaths in Wuhan and 0 known cases in the US. We would have been accused of hoarding and causing the spread in China.

The testing issue was mainly an easily foreseeable and preventable regulatory problem at the FDA which has existed for some time. It took too long to remove the regulatory hurdles, but that there was not already a pandemic regulatory response framework ready to activate is totally inexcusable since we already went through this in 2009.
It's the difference between the effective reproductive rate and the basic reproductive rate. Yes, more cases means a higher basic reproductive rate, which is an innate characteristic of the virus. But more immunity in the world means a lower effective reproductive rate, which is the same rate we're trying to manipulate with physical distancing and masks, etc.

"And additionally, there are reports of reinfections among covid19 patients who were found to be cured."

Like I said in my comment, it is still unclear how immunity works.
uBlock, Privacy Badger, DuckDuckGo Essentials and a PiHole and can still see the images.
They are visually appealing and are technically implemented nicely. I think, however, that they are not very insightful to the matter. It is easy to visualize the result of a BGP hijack: packets are routed to the wrong/malicious destination; so is visualizing the result of RPKI: packets aren't routed to the wrong destination.

What, to me, would have provided a little more value would have been to diagram how BGP hijack happens (visualize a router announcing the wrong route), and how RPKI solves the issue. Of course, those 2 things are probably much harder to diagram.

edit: re-phrased a sentence.
Node.js Official Tutorial
Those people who need their chromosomes analyzed are part of the 0.07-0.05%, not the 1-2%

I imagine we would agree about the importance of respectful social interaction with those who don't fit within gender norms. I'm probably on your side here, but it's important to have these discussions using good facts.
Essentialy zero isn't Zero at Amazon scale (or the scale of any large business)
Your point about needing a dataset made me think about how a post on hackernews like this may be a good way to get data. How many people would contribute by reading a prompt if they visited a link like this and had the option to donate some data? That would get many distinct voices and microphones and some different conditions.

The article mentions that they used a dataset composed of 100 hours of audiobooks. A comment thread here [1] estimates 10-50k visitors from a successful hackernews post. Call it 30k visitors. If 20% of visitors donated by reading a one minute prompt, that's another 6,000 minutes, or, oddly, also 100 hours.

Seems like a potentially easy way to double your dataset and make it more diverse.

1 - https://news.ycombinator.com/item?id=20612717
What jpg? they are using raw data.
You can't have half person infected. At some point, everyone is infected and no new person will be infected.

At that point, it is constant. You are modeling it wrong, because you ignore real world parameters.
Their stock is up 12% today.
Fair, effective, and efficient technical interviews.

IMO, the best solution is probationary hiring (e.g. 3mo contract-to-hire), but that means you have to leave your current job first and then spend the next year bouncing through a number of "temp" jobs until you find a good fit.
First Person Elm
An interactive Tableau viz that helps engineers select a monitoring tool
It does perceptually, not intellectually. Obviously anyone can see that it's offset, but the perception is still smaller than it actually is. There's no easy marker to re-align and try to make a better estimate.

Let's take a step back though- why are the phones in this image offset at all? Apple made the image, it's explicitly for a size comparison, so why make it harder to comprehend?
GDPR puts the picture of a person under special protection. They need to ask for your permission if they want to store and process it. Additionally they are required to provide to you a copy of all information they have stored about you. Probably they claim that they deleted the pictures after they completed the training of their neuronal networks. I'd watch court proceedings, that try to figure out if the auto-encoded version of a picture still is under GDPR protection.
GitHub repo file update notification
How does a high unemployment rate cut both ways? Seems like it only favors the employer — they'll have an easier time hiring new employees, and employees will have a harder time finding other jobs.

Is there a way in which a high unemployment rate gives the employees leverage? I can see walkouts happening right now because Amazon employees know the company is under scrutiny and therefore less likely to fire them. But I doubt many people will 'put their money where their mouth is' and actually resign when the economy is doing poorly and there are very few jobs (and lots of job seekers).
Amazon Product
Just for some Friday fun! This function notifies you when someone changes specific files you're interested in on GitHub. Single click deployment to https://devscore.com
In most fields, you have to invent tools that enable you to discover things. My guess is that this is also true in mathematics. We get confused sometimes because the tools often happen to look like the discoveries because of all the fancy greek symbols.
My name is Aaron A. Aaronson!
Paycheck Protection Program out of money: Thousands of small businesses shut out
These are indeed interesting questions, thanks for asking them.

If you have a workload that runs really well on GPU, then it can be adapted to run on CPU. There are automated tools for this, but it's not mainstream. To answer one of your questions, spirv-cross has a C++ generator.

There are a bunch of things that are in the space between GPU and traditional scalar CPU. One of the most interesting is Intel's ispc. The Larabee project was also an attempt to build some GPU features into a CPU, and that is evolving into AVX-512. The new mask features are particularly useful for emulating the bitmap of active threads, as this is something that's hard to emulate with traditional SIMD.

I think it would be a very interesting project to build a compiler from SPIR-V compute workloads to optimized multithreaded SIMD, and there are projects exploring that: https://software.intel.com/en-us/articles/spir-v-to-ispc-con...

The main reason this hasn't happened is that when doing optimization it's always better to target the actual hardware than go through layers of translation. If you want to run a neural network on CPU, you're definitely going to get better performance out of matrix multiply code tuned for the specific SIMD implementation than something adapted from GPU. But I think there may still be a niche, especially if it's possible to get "pretty good" results.

For machine learning and imaging workloads in particular, there's probably a lot more juice in having a high level (Halide) or medium level (MLIR) representation, and targeting both GPU and CPU as backends that do optimization specific to their targets.

I'm really interested to see how this space evolves, it feels like there are major opportunities, while the scalar CPU side feels largely mined out to me.
So with 69 deaths so far and 9 deaths last week in Santa Clara County, projecting that to an extra 4 weeks to 105 deaths for those infected in early April, that means a 0.16% death rate?
lol imagine being a simp online for the actual richest man in the world. Amazon consistently resists unionization efforts, makes workers work at a furious pace, offers almost zero benefits beyond the wages that they always resist raising, and they didn't offer any sick leave during a pandemic until about a week ago.

I can't emphasize this enough: Jeff Bezos is the worlds richest man. He is worth at least $140 billion or more, and has gotten richer during the pandemic. And you're on here saying Amazon workers without health insurance should be happy with $17/hour?
Can you tell me what you did to set it to 25watt? I swear I've tried this a few times going through Throttlestop tutorials with different usb-c chargers (from the stock 67w up to 97w) and either that option was greyed out or I never got it to actually do 25w.
Are you familiar with Friston/free energy/markov blankets?
Few non-peer reviewed papers with biased samples, questionable tests and questionable methodology don't make strong evidence. CFR just can't be that low. There are towns in Italy where the virus killed 1% of total population

https://www.ecodibergamo.it/stories/valle-brembana/il-grido-...
Tailwind UI is looking to change that (of course, Tailwind itself won't change, this will just be a paid implementation)
There is a trick to do this :) If you think about it, you don't need high-resolution information about low frequencies, they don't change that fast. The lower the frequency, the fewer data points (complex) you need to reconstruct the original sound, because the lower frequencies don't change as fast throughout time. You wouldn't be able to do this with FFT, which I have started out with, but was unsuccessful. So I had to "invent" the new algorithm, which I've figured out later is equivalent to Wavelet Transform. The only new thing I've done is to make it "real-time", and I have some extra math for "high-precision" frequency detection, which deals with the problem of frequency leakage post-factum (I am willing to reveal this has something to do with rotating complex numbers :)).
This (I think?). I am not a doctor or biologist. Anyone who knows more than me, which is not a high bar, please step in and correct me.

Based on quick amateur reading of the paper, the rate of crude positives (1.5%) might be entirely real cases, entirely false positives, or anywhere in between. The real rate of infection could be anywhere from 0% to 5%.

The authors report around 3,500 real tests and 30 known-negative tests. We need 30,000 real data points (or 300 known-negative tests) to conclude anything. (Right?)

I am not criticizing the experts who conducted the study. Thank you for doing the study. I'm only trying to understand what the study reveals. It may reveal that the group needs 10x more funding right away.
So anyone who has a device capable of running > iOS 9 is greedy, vain, and stupid. Got it.
Of course, but what are the odds that the algorithm just lucked into the correct book title and other cover text? It doesn't have a dictionary or semantic network.

You are right that the raw sensor data should always be preserved. But sticking with the license plate example, you could challenge a picture of a single car with a visible license plate far away in a wooded area, but it would be hard to refute a picture of the same car in a parking lot surrounded by other (non-suspect) vehicles whose presence there at the same time could be independently verified. In other words, if I can show that it accurately read the license plates of 9 other cars, the chances that it got yours wrong go way down.

That's assuming a single photo taken in the dark by an investigator. With a fixed security camera you would have an even larger basis of comparison, with a population of hundreds or thousands of license plates against which to rate it. I predict that before long we'll see preemptive certification for devices warranting the reliability of their image pipeline out to a certain distance at either the manufacturing or installation stage.
congrats ! ava <3
Where I live in Eastern Europe (44°26′7″), we have acclimatized fig trees. And we have temperatures as low as -20C or even -25C (-4 and -13 Fahrenheit).
I don't see anything about sampling bias here. I would assume that people who have been ill, experienced mild symptoms, or who were exposed to confirmed cases would be more likely to respond to the facebook ads recruiting testing volunteers.

I'm sure we are significantly undercounting cases but I highly doubt we are off by a magnitude of 50x.
> Where is this sourced from? - We rely on a combination of verified sources at companies, submissions/tips, tech blogs, as well as public lists.

If I am reading this right, some (most?) of these people might not even know they are listed on this site? I am assuming all of the info is already available since linked in profile is required, but this is still a bit creepy.
I'm more interested in tracking the companies that have laid off (and don't have an ability to help hire individuals), so I'm just watching https://layoffs.fyi/ instead of this page. That is more geared to following the trends in layoffs. If anyone knows other compilations I'd be interested to know!
I guess Amazon is the McDonald of 2019/2020, a nice easy target for all. Day doesn't go by without some article about that horrible exploiting Amazon.

Where were/are you when discussing about nurses, truck drivers, waiters, mom&pop stores earning below minimum (or nothing these days), uber drivers and gazillions of other examples. Plus various the other warehouses as well. Or chinese factory workers, manufacturing your branded clothing, iphones and whatnot 6 days a week, 12 hours a day. I could go on and on for quite some time.

Everybody likes to kick Amazon these days, such an easy target, almost fashionable. Did you ever order anything from them, thus supporting the business? Ebay/aliexpress?

They are not saints, its a brutal capitalism and race to the bottom... just like every other successful company out there. Folks work there because other options they have are worse, if there are any. Don't like exploitation like that? Well try to change labor laws in your country instead of cherry-picking single target.

As for covid measures, other poster described them well enough, no point adding anything.
Unfortunately, if your loan was not already approved by your bank it's too late to receive a CARES loan as the (initial?) money ran out Wednesday, barring an expansion of the program.
Show HN: Encrypted, synced, offline first todo list
I know of an organization that included a fake person on sold lists so that they could determine if the list was being used within the bounds of the contract. And it was useful for testing.

Similar reason for Alan Aaron?
It’s hacky and I’m happy to be told how wrong it is. But based on these recent antibody studies in Germany, Finland, and now here in CA, I’ve been assuming an actual fatality rate of about 0.4, and thus an actual infected rate of 250x our known deaths, which is a much firmer number.

This is only a small comfort since it means we may have had about 8.75 million infected and presumably now immune in the USA. Or about 2.6%. There’s still a long way to go in that case.
Please don't do this. In addition to being tedious it's against the Show HN rules: https://news.ycombinator.com/showhn.html.
These types of activists try to tie all these issues together using a lot of mental gymnastics, to try and build a coalition or to leverage the motivation behind one cause (like climate) to support another cause (like unionization). It's illogical, but it is a strategy commonly used because it is effective, even if disingenuous.
> Why, pray tell, are the US's vax schedules so heavy compared to Europe? Are all their doctors quacks are is our medical system bought-and-sold by B-schoolers?

What are the differences in vaccination schedule that you're worried about? We need to be specific in these kinds of discussion. It may be true that there is no difference in vaccination schedules, but it may also be true that the countries you claim have different vaccination schedules are responding to local needs (vs. being worried about 'heavy' vaccination regimens).
IRRs already solves this problem. RPKI just adds crypto because hand waving reasons.

Providers won't implement RPKI for the same reason they haven't implemented IRR filtering or BCP38 for the last 10 years. It adds operational overhead, adds another thing that might go wrong, and there is no financial incentive.
Given how Amazon interviews, how obstinate they are against relaxing their standards, and how slow and inefficient their HR systems are in general, I wish management good luck with replacing these workers with scabs.
But what if you put your styles in multiple files?
I'm guessing the most glowing ones could find each other and mate.

Not mating is really bad for your evolutionary prospects.
I am sorry, but I am using JUCE framework [1] which has some C++ features (aligned allocation) that are only supported from iOS 11. I'm constrained by the framework, I've set the minimum iOS version it supports. Sorry again!

[1] https://juce.com/
Antibody tests are not as accurate as RT-PCR, but the sensitivity that was observed here was 91% and 99% specificity when compared to confirmed COVID cases. I just want to point out that these researchers are using the corrects tests to do this.
We can always change up the bad IP range announced.

But, more generally, I think the network engineers at ISPs want to implement RPKI. It’s the managers who haven’t prioritized. Hopefully this helps escalate it as a priority.
I think the challenge here is the government is probably offering better terms than can be expected from Buffet. If someone is offering me free money, and someone will give me money if I give them control of my company guess which one I'm calling first.
https://archive.is/eAFo7
Honestly, I need two things: a simple interface that let's me log an expense in a few seconds, and a detailed analysis that I can look at (spendings per weekday, per week, per month; maybe an overview that links similar expenses [food] together so that I can see the frequencies?). If that is well done then I'm mostly set.
I don't usually award glib posts with upvotes but I did for you.

I think you capture the fundamental issue: who cares what they think? Objectively, we should care less about what they think about covid-19 than any other group because of their track record of scientific illiteracy on the precise subject under discussion.

Aside from anthropological and related disease mitigation strategies, what anti-vax people think about this is not worth a second of attention. The odds favor that objectively ignorant people will continue to make poor assessments based on facts.

edit: thankfully it is flagged.
Their opt out system is driven by typeform.com. I'm not familiar with this service, but it seems to have caps of at most 10k opt out requests per month and 4GB of uploaded images. They might be on an enterprise contract with different caps though. I know one way to find out...

Are there legal implications if you cannot submit an opt out request because of their technical choices?