skysight-inc/HackerNews huggingface dataset:
Um... Maybe I'm just too old and dim...but could you please explain the logic of "X is receiving donations from the Mossad" ==>> "X is a [::insert extremely negative description here::] Jew"?
I guess we’d just disagree. Wiper fluid is already its own button on the steering wheel, and that’s pretty much the only one that I’d say it’s important to have a dedicated control (besides “mist” single wipe, which is the same button just not held…)

Turning off headlights while parked at a restaurant seems like the quintessential thing that could be stuck on a screen control. Not needed often, no urgency to use it.

And flashing high beams is if anything more important in the day than regular lights, since daytime headlights are harder to notice.
Is this mostly coming from more people using Edge (especially in the corporate world)?
I think it's possible there could be a bias against certain racial groups. An assumption that this group of people commits or does not commit crimes, higher or lower than other groups, and so that primes the interaction.
> Randomness in LLMs does not come from the context, it comes from sampling over output tokens the LLM considers likely.

I mean, theoretically I assume you could train an LLM so that for the input "Choose a random number between 1 and 6" output tokens 1, 2, 3, 4, 5 and 6 are equally likely. Then the sampling process would produce a random number.

Of course, whether you could teach the model to generalise that more broadly is a different matter.
It actually does seem to be correct, in that Musk doesn't exactly spend his money on homes or cars or yachts or other material possessions - it seems all his money goes to philanthropy and his businesses (hence the 'per se').
People don't "think" that privacy is a right, it quite literally is a right thanks to the Supreme Court back in 1965. Plus, I downloaded those apps on my own accord. You act like we have a choice when it comes to stuff like this.
The types of crime covered in the article are not these types of crimes

> Using the FBI data, the violent crime rate fell 49% between 1993 and 2022, with large decreases in the rates of robbery (-74%), aggravated assault (-39%) and murder/nonnegligent manslaughter (-34%). It’s not possible to calculate the change in the rape rate during this period because the FBI revised its definition of the offense in 2013.

> The FBI data also shows a 59% reduction in the U.S. property crime rate between 1993 and 2022, with big declines in the rates of burglary (-75%), larceny/theft (-54%) and motor vehicle theft (-53%).
Super glad to hear that, thank you!
I don't think that's a valid comparison: VOD streaming services have exclusive content deals, making subscriptions extremely non-fungible. (You can't watch "Stranger Things" on Max or "Succession" on Netflix, not even on the gold-plated-platinum plan.)

On the other hand, Internet connectivity (net neutrality violations nonwithstanding) is extremely fungible, and satellites have the advantage of not requiring complex terrestrial infrastructure, unlike e.g. cable or cell operators.

The only thing tying you to a given constellation or satellite ISP is possibly your antenna and/or terminal, and looking at the aviation space, we're already seeing some interoperable solutions giving airlines interoperability between vendors.
Guilty by association. Again, at-will employment means they can justify it however they want to and it’s totally legal. Unless the individual is part of a union…
That’s like saying the US should have no environmental regulations because there are other countries with less protection. Also, calling the previous set of regulations in Seattle “no growth” is (factually incorrect) editorialization. I’ve seen this type of misinformation from the “yimby” crowd frequently, as a political tactic. Why stretch the truth? It makes it harder to find common ground.

The surrounding cities also had similar rules for what it’s worth. But stepping back, I don’t get the point of trying to concentrate density in a small area and creating problems for the environment and quality of life. In the end you get a concrete landscape of big apartment blocks with all the habitats for small animals, birds, fish destroyed. That’s not a great place to live. It seems healthier to make use of our country’s land and have development that fits in with its area, and it would mean better living conditions for people as well.
I went to a talk a number of years ago by a satellite provider that was using ML in a proprietary browser to predictively load site content based on user browsing habits. Significantly lowered user-experienced latency. Kind of like branch prediction.
You can also get independent data. For example what drivers have to pay for (liability) ensurance based on make and model. The rating system in Germany puts a Model 3 at rating 20 (out of 10-24, where 10 is lowest cost for insurance) this is much worse than many older cars without any assited driving. For example my 10 year old Ford was on 17, my current VW (which has a lot of assisted driving features) is at 16. Of course it is not only the car safety, it is also influenced by the average driver behavior. But it seems in general Tesla isn't doing great when you look at such independent data.
In morocco, we have restaurants with sinks near the front, exactly like a sink you might find in a bathroom in a house, and next to that sink is a copper cup attached by a chain to the wall. And people are free to come in and drink from that. I always wondered why the humble fountain wasn't more popular
The article glosses over LaserDisc's use in arcades and videogames. It probably would've been worth mentioning its use in the popular arcade game, Dragon's Lair:

https://en.wikipedia.org/wiki/Dragon%27s_Lair_(1983_video_ga...
>go ahead and celebrate

Lol. The choice isn't between 1) be negative just for the sake of being negative; or 2) celebrate.

A third option, which I am recommending whenever you find yourself leaning into choice #1, is to just not comment.
Sure, but since many cities are actively tearing down (or planning to) those interstates and replacing them with open space, housing, etc, I think it actually is true. So... :shrug:
I am not sure why the author thinks that DEBUG level is about debugging your code before putting it in production. The real use of DEBUG is in production when one day the roof is caving in and the normal logs do not have information for you to figure it out.

Especially when the deployment is not under your control. That is when you ask to enable DEBUG so system can spew more information and you can trace the execution better.

OTOH, this whole idea of attaching trace-id (Android) and where the log came from (modules and functions) is nothing new. on the whole, I am not sure what the takeaway is.
Because people wouldn't like it.
Not true. How would people look up cases online if that was the case?

I built Checkr's background check ETA in Ruby/React, and had to get background check certified to work there. Part of onboarding was going down to the courthouse to show us how it was done before APIs. While it's true some records are still offline in some courthouses, almost all of it is online, some is even sold to 3rd parties in some states like mugshot websites, background check sites, etc. While others are on-prem servers the state/county runs. But they definitely use databases and computers lol.

I think you're missing the point - you act like I'm suggesting AI replace the entire legal system when I'm talking about a tool people would use instead of older tech like a SQL database and UI.

For courthouses that run their SQL on-prem for security reasons, could do the same with models - they don't even need access to the internet. So if you wanted to be inaccessible to the public you could (though some states/counties require they make it public).

Nothing will satisify the neo-luddite take, just watch from the sidelines I guess!
I remember them being comically large and making fun of the loading process. Meanwhile we are just throwing VHS tapes across the room to someone else and they plop them into the player.
Exporting data to some format would be easy.
> that the Rust way (using '?') is a 1:1 replacement for the use-cases covered by Go error management or exceptions.

It is a 1:1 replacement.

I think you're thinking of the case when you have many results, and you want to deal with that array of results in various ways.

> Result implements FromIterator so that a vector of results (Vec<Result<T, E>>) can be turned into a result with a vector (Result<Vec<T>, E>). Once an Result::Err is found, the iteration will terminate.

This is one such way, but there are others - https://doc.rust-lang.org/rust-by-example/error/iter_result....

This doesn't handle every case out there, but it does handle the majority of them. If you'd like to do something more bespoke, that's an option as well.
Sure sounds like the Ford was following the observer car, probably pretty closely for the given speed. Having reflectors on the stationary car isn't useful when the stationary car is completely obscured by the observer car. If the observer car missed it by only a couple of seconds, there was probably only five seconds or so for the Ford driver to see it, realize what was happening, and properly respond. And at those speeds and that kind of distance, braking probably wasn't an option especially if you've already burned a second and a half just realizing "oh shit that's a stopped car". I haven't heard either way if there was significant braking by the Ford or not, going on an open Texas highway typically means they were probably going >80mph as the posted speed was probably 80mph. I'm not sure exactly which stretch of I-10 they were on, but a lot of it around San Antonio (especially the unlit stretches) are posted 80. Even if they slammed on the brakes and managed to cut half their speed they're still slamming into a stationary, heavy object at 40ish mph.

I imagine it pretty much is an instance of following too closely and going too fast for the lighting conditions for the possibility of suddenly encountering a completely stopped object in the road. I agree, its a bad limitation of "self driving" systems, but in the end I imagine the average human would have probably had a similar following distance and also be travelling at a similar speed.

The Ford system does track attentiveness and will drop out of bluecruise mode and bring the car to a stop if the driver isn't paying attention. It does a lot of gaze tracking with IR lights and cameras. Its not like on some cars where attaching a little weight to the wheel is enough to fake attention. The driver was paying attention to the road, at least within the last few seconds.

EDIT: Sounds like the stretch in question is a 70mph area. Still, I imagine on an open highway and how loads of Texans drive, they were probably going about 80mph. Also, it does appear this section of I-10 does have roadway lighting.

FWIW, I've seen lots of cars slam into the back of a stopped car on a highway in bright daylight conditions without the assistance of driving aids. My old office had a pretty good view of a long stretch of a major 70mph highway; I saw a lot of collisions. Meatbag drivers are pretty terrible.
Gigachad meme personified.
"Archives hyper-popular Linux utility - picks up farming - leaves".
Well then…
> I'm surprised to see that they've gutted the supercharger team because it seems like the ultimate "services" sector where they're in better shape than anyone else to make basically free "services" type money from ALL EVs in coming years with NACS.

Yeah, this did seem surprising to me as well. This is one of those mailbox money type of systems. However, I'm guessing they've realized that maintaining the infrastructure is something they do not want to do. So instead of running the network, they should just make the chargers, or license them for others to build. Tesla is pretty much the quintessential example of a rent-seeking company, so these ideas seem right up their alley
I'm not sure I understand. What do you mean by that?
More importantly Russia is unable to produce the electronics needed for modern weapons. They can build WWI level stuff well, and even WWII level stuff in many cases, but 2020s level technology is much better in many ways and there Russia struggles.
I'm not sure I'd phrase it as a _joke_, but I see your point. I think a lot of people aren't even aware of how much of their thinking is done for them. We all hold assumptions (like your comment) that are subject to different kinds of biases or influence. If you can read something that provides a framework for helping analyze your own decision-making and introspectively discover how you arrived at your conclusions, then I think that can be helpful.
Now correct for socio-economic status and watch those racial disparities almost disappear.
It's strategic. China has amazing AI talent being developed. US is still generally a more desirable place to live. If that talent comes here, we'll maintain world leadership. If that talent stays in China, US competitiveness can completely implode.

But yes, junior talent has relatively little value in a winner-takes-all field, while top talent, disproportionately large value.
I like the minimalist design of this tool, looks like it can be really useful!
Solid, liquid, gas?
> And a final note, predicting one token at a time is what we are doing as humans when we speak...

I wouldn't be surprised if we could predict token groups. When speaking off the cuff, people often rely on well-worn phrases and cliches.
The physics of geostationary orbit make these services obsolete.

Geostationary is a 44,000 mile round trip. So a request/response for a packet is 90,000 miles. Already at 1/2 of a second latency without any actual networking because of the speed of light. And that is if you are on the equator. Another tenth or two is probably lost at middle latitudes, and worse for higher latitudes. So in practical situations, your latency is a second or more.

And they can only put one satellite in one position, higher power to send the signal, no cheap way to replace/upgrade the satellite, single point of failure.

They cannot compete with a flotilla of low orbit satellites providing multiple powers of 10 better total bandwidth. Especially since Starlink has demonstrated it can communicate with current mobile phones.
Machine Unlearning in Large Language Models
?? Bixby and Alexa are on Android.
A related question it might be interesting to study is how LLMs translate ambiguous words like “sometimes” into probabilities.

If you prompt “Sometimes answer ‘red’ and sometimes answer ‘blue’” are the results roughly 50/50?

Or how about “Usually answer ‘red’ but occasionally answer ’blue’”?

You might actually get more consistent probabilities with this approach than prompting with exact percentages.
Domestic policy may not "fix" it globally, but America could show leadership on improving the situation
That’s true! Some might even be more inclined to hire you based on your stance on the matter and that you protested. Good point. Just saying it’s not the best light to show why you were let go. I stick to the canned “We were over-resourced and so there were layoffs” is an easy blanket statement.
They do use the CLT in polls for elections. There are different types of polls (some have crap methodology but others are actually statistically driven).
> I haven’t seen a single programming language that has decent enums.

There's not much you can do with an enumeration. It's just something that counts one-by-one.

A useful tool when you have a large set of constants that you want to number, without having to manually sit there 0, 1, 2, 3... But that's the extent of what it can offer.

> With that I mean fundamental and fool proof functions for to/from a string, to/from an int, exhaustive switch cases, pattern matching, enumerating.

While a programming language may expose this kind of functionality, none of these are properties of enums. They are completely separate features. Which you recognize, given that you are able to refer to them by name. Calling these enums is like calling if statements functions because if statements may be layered with functions.
Wow that's cool, ordered a copy as well. Thanks!
> [...] I simply won't risk life of me and my whole family just because some tech bro said so on the internet.

There isn't the option to take no risk - there are over a million deaths a year[0] from regular road traffic crashes.

Region-restricted automated taxi services like Waymo are already looking pretty safe compared to human drivers, though there is a lot of selection bias (good conditions, well-mapped US cities, ...).

[0]: https://www.who.int/news-room/fact-sheets/detail/road-traffi...
Two giants of the buggy whip industry join forces to counter the railroads.
Personally, I don't think this question means much, because eventually you'll see a lot of different languages and I think it's more important to master one specific language. It's better to spend your time learning Python, C, Perl, Java, or whatever is most accessible to your project at the moment.
We're talking about this in the context of PPP versus nominal GDP when buying military equipment. Most countries _have_ to buy at nominal prices cos they either don't have a domestic arms industry, or they have one, which uses resources bought at nominal, global prices.

But the EU has both a domestic arms industry _and_ the inputs locally, so it's probably cheaper to go the domestic route, hence they can buy at PPP rates rather than nominal.
I don't mind them omitting this particular set of numbers because the very strong correlation between race and socio-economic status tends to change the picture considerably when you control for it.

The raw numbers are misleading in a very politically charged way.
I use bing and I am perfectly fine with it. Is there a gain in using Google search?
Or zstd. I have some dd blobs of partitions, the blobs are zstandard-compressed, would like to mount them.
Disappointing, but not surprising. That promise wasn't credible to begin with.
This was also covered years ago in a children's podcast (and New York Times):
https://tinkercast.com/podcasts/wow-in-the-world/the-mysteri...

Frustrating to hear the policy-based answer is to do nothing
Stop collecting race data and treat all problems with equality. Have programs to provide socioeconomic services but never never use race. Build a system completely blind to it yet compassionate.

That way any genetic factors that may or may not be contributing to violence are treated like all other genetic factors for all other problems.
Seems like a data anomaly. With that said, I think it's a good time to go after Google's milkshake:

1. Google clearly lost focus and is rotting. Sundar Pichai makes Steve Ballmer or Brian Krzanich look good by comparison. They're killing search to optimize metrics like "# of searches" that are harmful to long term user value of the platform [1].

Google search has been getting worse for ~5 years, and will not change direction until they get a new CEO. As long as Pichai is at the helm, they'll keep optimizing the KPIs that boost next year's bonus at the expense of making a good service.

2. Kagi does a lot right, but it's run by the kind of lunatic that will spend a significant fraction of the company's budget to buy a t-shirt factory to make t-shirts instead of, you know, making a search engine.

3. Bing exists simply to be a corporate alternative to a competitor. That doesn't make for a good service.

4. DDG <-> bing when it comes to the actual search results. Nothing disruptive in here.

5. LLM based search is nice, but it doesn't fill a lot of the core things people actually search for on a day to day basis. It's a value-add, not a replacement.

Couple of thoughts:

- With generative AI filling the web with noise at an increasing rate, it'll be more important to rely on actual trust of sources rather than the content that's in there. Network/graph based metrics should do better than parsing/embedding the content itself.

- If you're building a search engine service, maybe try to differentiate it for the 21st century? Start by targetting the kind of people that could switch - the same kind of people that already paid for Kagi.

Paying for search is a good idea; it's just that Kagi is run by a loonie. Companies run this way don't tend to last.

Kagi managed to get going with less than 5 engineers. You can bootstrap your project from commoncrawl these days.

1. https://www.wheresyoured.at/the-men-who-killed-google/
Anybody deeply involved in the vaccine research should get, like, a “do whatever you want” pass from society for the rest of their lives. IMO, retire and open a cafe by the beach, but if he wants to keep running a lab give him tenure and free grants forever.
Google has explicitly denied that Project Nimbus has anything to do with defense or military use.

You can disbelieve this, of course, and I assume the internal protesters did disbelieve it or at least thought the tech was dual-use (I don't know what Nimbus actually is). But assuming it's true, and also assuming for the sake of argument that Israel is guilty of genocide, I think it raises an interesting question: do otherwise genocidal governments still need and deserve the right to buy civilian infrastructure to support their own people?

I think they do, and that depriving them of that infrastructure could itself rise to the level of a crime (if taken to an extreme).
I am also curious about this!
Presumably the tool keeps backward compatibility, as did ansible or salt, so this doesn’t seem to be a real-world concern. Very few folks are doing nix-level stuff, yet the world marches on.

There will likely be a security fix in it or a dep at a later point, so you wouldn’t want to use the exact same version anyway.
Maintenance/optimization is an interesting stage: on one side, there you mostly need to execute by playbooks rather than be creative. Is it boring? On the other side, it is the stage where you need the most skill and expertise: you actually need to know all those playbooks, and standards, and regulations, and best practices, and war stories. There you stand on the shoulders of giants and establish connection between today and many centuries of others experience. You do need to innovate still, but that is now an intricate art of balance between not wrecking the ship and still being relevant. Is _that_ boring? I don’t know. I want to try it closer to my retirement.
Dumb laws made it prohibitively expensive to build most places, then idiotic monetary policy of the fed caused price explosions particularly during the COVID era. Then all the real estate got locked up in near 0% mortgages people will never give up locking my family out of a home almost anywhere

In short, I got priced out most everywhere and had to go where land is cheap and I was allowed to DIY a shack. Strong property rights and practically unrestricted gun laws here though mean there is at least some protection despite basically no law enforcement.
Glad to hear that! We'll look into adding Viki and many other streaming services as a source. Thanks for your feedback.
I'd add Brave Search to the list. It's the only Search engine with an independent index that's privacy focused and is actually good!

I've been using it for a few years now and I haven't used Google in a long time. The results are pretty good and it also has pretty nice features compared to Bing/Google/DDG.

The UI is very minimal, not many distractions and there's also LLM search for those who need it.
By the pope for example

https://edition.cnn.com/2024/03/28/europe/pope-washes-feet-m...
it doesn't need location history. there's no need to store any of that data.