skysight-inc/HackerNews huggingface dataset:
>covers all electronics except video game consoles, cars, medical devices, cybersecurity tools, and farm and construction equipment.

This seems like it explicitly doesn't cover the things that were most important to cover, namely farm equipment and medical devices (that story about cochlear implants from last week comes to mind).
Ah yes "there is always x, so why shy from this x?", I wonder if there's a named logical fallacy for this, I think the closest might be "Moral Equivalence"

There will always be drama, there will always be politics, but I wonder how entities manage to graze by with broad support in those situations, possibly by being equitable, consistent and transparent? Just guessing.

Python doesn't have so much regarding internal struggles of power, same for Linux (BFDL might have his controversies but nobody is seriously considering forking the Kernel)- and that's one of the largest FOSS projects on the planet. Even when things get super sticky (like nvidia) people still broadly support Linux and the direction?

Why is that? There's politics, but we're not really complaining that there are politics, we're complaining that there's a essence of abuse here. We're complaining that there is a distinct lack of transparency, consistency, and a broad lack of what many would consider to be morally OK.

That's not really politics, but you could just roll it into the same word if you're dismissing a project for troubling elements that are non-technical. Politics being people and all.
Trauma arrest has a particularly low survive-to-discharge rate so you beat the odds. Speaking as an EMT, we will make every effort anyways - we like beating the odds too!
This is unnecessarily cynical. Why should people who are androgynous or trans be the only ones who state pronouns? By creating a norm around it we can improve their comfort at extremely minimal cost to ourselves.
Who on the list is an expert on existential risk (and perhaps even beyond academia)?
A lot of people in this thread seem to be suffering from a lack of compute.

The idea that an AI can't be dangerous because it is a incorporeal entity trapped in electricity is particularly dumb.

This is literally how your brain works.

You didn't build your house. You farmed the work out using leverage to people with the skills and materials. Your leverage was meager wealth generated by a loan.

The leverage of a superintellect would eclipse this.
The article indicates they _were_ hacking a clone (mirror) of the data... which is curious, since Apple does claim there is a hardware key to prevent exactly that. Presumably someone is doing a little lying-by-omission - Probably there is a way to clone the device key with sufficient access/tooling, but that is pure conjecture.
you are a bit late to the party.. this has been in motion for at least three years, see various standards efforts.
> While I did not know someone has used related ideas in a very different and pre-existing agenda, I can't take hyperbolic accusations of racism seriously anymore.

If you didn't know about it, then you haven't been paying attention. Replacement Theory has been promoted by ethno-nationalist media personalities like Tucker Carlson (who hosted the highest viewership cable news show), and also directly cited by recent perpetrator some of mass murder against immigrants and minorities (Tree of Life synagogue, El Paso Walmart, etc). Both are high visibility and high impact. Replacement theory is not at all obscure at this point.
The assertion that something is always there even when there’s absolutely no evidence for it is an unfalsifiable “Russell’s teapot” argument.

It is trivially true that someone makes money from every project; the land, labor, and materials have to come from somewhere. But it’s only corruption if someone is extracting surplus beyond the actual necessary cost.

Fortunately the Transit Costs Project has a great database of global costs for rail transit projects, making it possible to discern when something is fishy. I highly recommend reading at least their executive summary.

https://transitcosts.com/
WASM reflects the usual capabilities of a hardware-based CPU. Just like your usual hardware CPU cannot run Common Lisp directly, neither can WASM.

JS, Perl, Python etc. all run well on widespread CPU architectures like ARM and x64. And that's why they will run well on WASM too given an appropriate runtime for that language.

To sum it up, WASM assumes nothing about a language - it's just a CPU, albeit a virtual one.
Agreed. A lot of drivers in NYC (where I'm also based) seem to have multiple devices in the car. Maybe there's some flawed data gathering if a driver still is using the native Lyft app but running navigation on a separate device?
That's like complaining that Americans are so afraid of house fires that they strive to build their houses from flame-retardant materials and avoid the use of open flame, instead of accepting that house fires just happen and the onus is on the fire department to come by and put them out.
I am not sure but perhaps Germany had some baseload power, perhaps 30 GW as per your calculation. Because baseload power is not turned on and off easily, they let it run even if they could turn off and have enough power. I don't know.
> I don't see a problem with showing mocked up screenshots of an app you haven't built yet, which is what I think of as fake it till you make it. That's not the same as telling people you possess a technology that doesn't exist,

The issue in SV is that your definition of "fake it 'till you make it" is actually way too honest and reasonable.[1] I'd actually argue that your stance isn't quite faking it as you're being quite upfront with reality (at least in this hypothetical you wrote about).

Actual Silicon Valley fake it 'till you make it culture is selling the mockups as the real deal. It's using wireframes or illustrated screenshots and stating that this is the actual behavior, or exactly like what the experience is going to be. I've been in the ML space for about a decade, so I'll add on the many anecdotes I've personally witnessed: it's also saying that "this little button here will do X,Y,Z using 'Deep Learing'".

There's never any actual prototype that even does what the shrills are selling! No proof of concept. No actual work done to even reasonably demonstrate that the concept is possible. *This* is the SV fake it 'till you make it culture. And it's destroying the entire tech industry. It's sucking away useful investment dollars and putting it into the hands of fakes like Elizabeth Holmes and other criminal frauds.

Hopefully, her high-profile criminal case will lead to a systematic change in the industry. I for one would love to see more regulation and licensing around software engineering. Too much hype and money is wasted on incompetent people who aren't actually building anything these days!

[1] Apologies if this feels directed towards "you." I'm only attempting to address my interpretation your written perspective here. And only in so far as it doesn't quite align with what I see (which ofc. is just _my_ perspective of reality). I don't want this coming off as any sort of personal attack, which often happens online :-/
The tone of this article is troubling.

First, the focus is on savings to Lyft, and not how this innovation benefits customers in any way.

Second, it is highly antagonistic to Google - who is probably still a partner to Lyft in many other aspects (advertising etc). Taking shots at your partners is generally considered bad for business.
There's a tradeoff between the complexity of the implementation of a data structure, and the use of one. While the complexity of implementing purely functional data structures is often (except maybe in the case of singly linked lists) higher than their mutable counterparts, actually using them in a program is simpler and less error prone.

There are obviously other trade offs as well, like performance and memory usage.
I like the parallels with AA. Also, re: not how much time you spend on a phone, rather how you use it:

Good uses: listening to good literature on audio books, reading ebooks, reading long form articles on Substack, listening to a good lecture on YouTube.

Bad uses: having any notifications turned on except for specific family members, consuming addictive content of Tic Toc, FB, etc.

EDIT: and use freedom.to tools to limit fun and sometimes useful things like HN and Twitter.
I have thought that some major service migrated to OSM by 2019. I can’t remember which, or even if it was a success. But I didn’t realize the data was that bad just three years ago.

Then again, Apple Maps started getting sorted out around then too iirc.
Bootstrap 5.3.0
Your original command should work fine.

find does not pass arguments through an intermediate shell, so there are no quoting concerns with regard to spaces in filenames, etc.

And with the form of -exec terminated by a ; it runs a single command for each matching filesystem entry, so there will be no issues with exceeding the maximum argument size.

You can verify via strace:

$ touch 'a b.md' 'c d.md'
$ strace -fe execve find . -iname '*.md' -exec unbuffer ls {} \;

At the end of the exec chains you should see the following:

execve("/bin/ls", ["ls", "./c d.md"] ...
execve("/bin/ls", ["ls", "./a b.md"] ...

The filenames are being passed through spaces and all.

However if this were a real scenario, a better solution might be:

find . -iname '*.md' -exec unbuffer ls -1 {} +

(Look up the -1 flag for ls, and the + variant of -exec for find for details)
Providing feedback to large corporate machines is akin to screaming into the void at this point. Sometimes the void hears you and responds with a generous canned message. Other times you unsurprisingly get silence. That's why I became completely divested and disinterested in providing general feedback for maps, locations etc.
>What's the model to get to that

Let's say I was a small furry mammal that tasted really good, but also for some reason understood the world as it is now.

I would tell you that super intelligence had already happened. That super intelligence was humans. That humans happened to reach super intelligence by 1) having the proper hardware. 2) filtering noise from important information. 3) then sharing that information with others to amplify the power of intelligence 4) having a toolkit/tools to turn that information into useful things. 5) And with all that power humans can kill me off in mass, or farm me for my tasty meat at their leisure with little to nothing that I can do about it.

There doesn't appear to be any more magic than that. All these things already exist in biological systems that elevated humans far above their warm blooded peers. When we look at digital systems we see they are designed to communicate. You don't have an ethernet jack as a person. You can't speak the protocol to directly drive a 3 axis mill to produce something. Writing computer code is a pain in the ass to most of us. We are developing a universal communication intelligence, that at least in theory can drive tools at a much higher efficiency than humans will ever be able to.

Coming back to point 5. Cats/dogs are the real smart ones here when dealing with superintelligences. Get domesticated by the intelligence so they want to keep you around as a pet.
How is that comparable? I apologize for this bit of sarcasm, but last I checked, Arizona has both air and gravity.
> Not really sure what a CS degree has to do with quality or engineering.

And that's why recently it's been less and less of a requirement.

And the bar is very clear--you either can write good code, or you can't.
That's a good question, but at least some of the academics on this list are independent. Bruce Schneier, for example.
Good for them (and I say this as someone who was actually in Google Maps, both in monetization and in regular development).

Maps has been losing money for literally decades. I don't know if they've finally turned that around or not. In some parts of the world, they were still paying a 3rd party per lookup because they didn't own the data.

I also don't know the numbers for their API charges, but I wouldn't be surprised if the totals are mostly symbolic, for VP's to defend themselves as "Hey, look, we're getting all we can out of it!"
Well, for example I believe that nukes represent an existential risk, because they have already been used to kill thousands of people in a short period of time. What you are saying doesn't really counter my point at all though, it is another vague theoretical argument.
Agreed. I would add that he probably shouldn't be budgeting to have that money go into his 401k in the first place. He's paying more in tax + penalty to do this.
Isn't this what PNaCl was essentially about? Providing an API and some kind of VM (llvm) to implement the API on top of it?
A cowboy hat is mandatory attire for this scenario.
The feeding America statistics are grossly inflated.

It is based on survey data with set questions. Answering yes to any of the following can categorize you as food insecure

A parent lost weight (for any reason)

Adult(s) cut size or skipped meals in 3 or more months of the year

Relied on few kinds of low-cost food to feed child(ren)

If Elon Musk skips breakfast to lose weight and succeeds, his family qualifies as food insecure.

This is why you see very different summary statistics. 1 in 5 children suffer food insecurity versus 0.9% of children have gone hungry at lest once in the last year.

https://news.ycombinator.com/item?id=31277978
The claims may be silly, but the captchas seem reasonable to me compared to the increasingly impossible to read "what characters do you see?" captchas and the increasingly hard to decipher images of crosswalks and trucks.

Captchas seem to work best when they reflect the simplest task that AI cannot do rather than a task AI can easily do but with the difficulty ramped up.
Two habits I have implemented in the last few months:

1. I appended "iknowwhatiamdoing" to the existing alphanumeric password to unlock my phone, and disabled fingerprint unlock. I have to type that every time I want to use the device.

2. I've started asking myself "Does my phone need to remain powered on?" The answer is usually no; then I shut it off completely. This adds a couple minutes of delay / friction next time I feel the compulsion to use it.

Now, I routinely go an entire day with my phone shut off. Sometimes entire weekends, depending what's going on. I think it's been good for me!

Edit: I also realized that it's hazardous to use my phone as a wake-up alarm, because then you start every day half-awake with the info-drug delivery device already in your hand. It's too easy to stay in bed and open up Youtube. So, I've switched (back, after 20 years!) to using a dedicated alarm clock.
I'm a spanish dev working for a YC company and earning above that, any Spanish dev I know who has the level to be working for a YC company earns well above 50-80k.
Excited for threads, sockets, futexes, but not excited for fork, signals and setjmp. They didn't include POSIX stuff like shared memory, select(2), unix sockets, and had to draw a line somewhere. Why include error-prone cruft?
Really what odds for TMSC disruption which is much different and permissible.
Right, so you can run macOS inside ESXI on an Intel Mac and be fully EULA-compliant. This is a thing people do.
What do you think money is for?
Oh, good. High Fidelity was promising. Is that going anywhere?
Fun! Let me try one:

Throughout history there have been millions, if not billions of examples of lifeforms. So far, 100% of those which are as intelligent as humans have dominated the planet. The prior should be that the people who believe AI will come to dominate the planet are right, unless and until there is very strong evidence to the contrary.

Or... those are both wrong because they're both massive oversimplifications! The reality is we don't have a clue what will happen so we need to prepare for both eventualities, which is exactly what this statement on AI risk is intended to push.
Deep Learning applications is one area.

Traditionally, OO code is written all the time.

But after I learned JAX/Flax, a light turned on inside my head and I now write functional Deep Learning code as much as I can. All my side projects and new code are purely functional in JAX/Flax. PyTorch has functional API known as functorch, and I have used it one project.

Where lots and lots of data in 3,4,5 dimensional tensors exist, and you need to run lots of transformation on them, and then you need to multiply a huge number of them thousand times in each second- functional code makes much more sense and gives immense sanity and peace of mind.

Those of you writing Deep Learning code, learn functional programming principles (immutable data, pure functions, leaving no side effect, etc.), and apply them to DL via functorch or JAX.

Your life will never be the same.
So you're smart enough to understand this, and the European Union is smart enough to understand this - but the Russians are too stupid to understand it?

You don't have any duty to defend every action of European politicians. You will certainly never be rewarded for your loyalty to them. The best reward you can hope for is increased taxation of your labour and the worst reward is being drafted into an industrialized war.

The EU are not winning against Russia by purchasing energy from them through middlemen.
Pick up time predictions are garbage, because ride shares allow cancelations. Last time I used a ride share, I had eight drivers accept and then cancel on me. The predicted departure time was always "8 minutes away" and then "looking for another driver" over and over. I probably waited an hour.
Assuming your kids enjoy living this exact lifestyle, and don't end up leaving, big assumption.
If you were to apply this argument to the development of weapons, it’s clear that there is a threshold that is eventually reached that fundamentally alters the stakes. A point past which all prior assumptions about risk no longer apply.

It also seems very problematic to conclude anything meaningful about AI when realizing that a significant number of those examples are doomsday cults, the very definition of extremist positions.

I get far more concerned when serious people take these concerns seriously, and it’s telling that AI experts are at the forefront of raising these alarms.

And for what it’s worth, the world as many of those groups knew it has in fact ended. It’s just been replaced with what we see before us today. And for all of the technological advancement that didn’t end the world, the state of societies and political systems should be worrisome enough to make us pause and ask just how “ok” things really are.

I’m not an AI doomer, but also think we need to take these concerns seriously. We didn’t take the development of social networks seriously (and continue to fail to do so even with what we now know), and we’re arguably all worse off for it.
I think we have different ideas of "extremely frivolous."

Perhaps "unnecessary."
Yes, that’s why I found the assertion that it didn’t exist so odd since almost anyone who supported web sites or browsers back then was familiar with that dialog.
The trend has been going on for couple years. It's not a clickbait.

Hardship withdrawal is up by 3x fold looking at 20 year chart.

https://image.cnbcfm.com/api/v1/image/107162765-167043620853...
Starlink was not agreed upon by any international institutions.
It appears to be free for all and up to each nation to decide how
many thousand satellites they wish to have orbiting our planet.

I have been expecting that soon the US will take to the airwaves
and announce the urgent need for an international body to regulate
how many satellites can be put into orbit and by whom.

Starlink is of course grandfathered into the new system.

Yes, we approved the launch of thousands of satellites by ourselves
but what is done is done, what we need now is to stop other nations
from doing the same.
You don’t understand copyright. This use doesn’t need to consider “fair use” at all. Only creative expressions are copyrightable. Purely functional expressions are not protected.

If the output of an AI is purely functional, there is no copyright concern as the AI did not use any copyrightable content in determining the output.
Two comments:

1. I've noticed that Twitter shows me more "opposite side" stuff than I'd expect. Is that part of amplifying anger? Could it be good in the long run to see other viewpoints. (I'd rather see examples of people I normally vilify saying stuff that's neutral or agreeable, but anyway)

2. Twitter's business model is monetized outrage anyway. Amplifying anger has pretty much always been it's product market fit, so notwithstanding the above, it wouldn't be surprising to see this continue or escalate.
Most corps carry long term disability insurance- I’d make more on that than an equivalent Euro paying job.
There are entire fields of research dedicated to studying cache oblivious persistent data structures, and they're almost always trees.

One of the key points of immutable datastructures is that they're easy to reason about given that the invariants are upheld. Designing an efficient memory representation that upholds those invariants is an entirely separate problem domain. Not every pointer dereference is slow, and not every tree is represented with pointers.
And this is why gaming on Linux never took off.
> Then, final database exports will be available for download through July 29.

Hope nobody was using bit.io as a set and forget solution...

Which I thought was the entire point of the cloud hosted databases?
Nvidia demos real-time NPC conversation using generative AI
Forward P/E is 51x, net income forecast CAGR (5y) 60.3%. Thats why its a trillion dollar company right now
Nice - now please share the prompt to get it to write my code.
They may have just never tried Lyft maps before.
When you say 'analytics database', what kind of performance are you implying? Massive queries that respond in 10min? How tuned were things for the queries you were running?

I'm currently working through an analytics architecture and I'm having to defend against "why aren't you using postgres" when I'm talking about olap dbs.
I guess that could work, I did not think of that. Not sure if it greatly improves viability but venting into the solar winds I guess could be an option. At low earth orbit wouldn’t most material fall back down to Earth, it’s not like they’d be vending hydrogen. And a very high Earth orbit would incur even greater costs of getting material into space. It still seems bananas.

Edit: I checked and solar wind starts at 60K km so there is no solar wind at LEO and 60K km is way beyond geostationary where it is already considered too expensive to bring things back to Earth.
It's not just a public place, but a very specific type of public place: a shopping mall. Were it just a public square with people from your social circle, then it wouldn't be as dangerous.

As a shopping mall, it's full of advertisements, slot machines, games, fast food, sales clerks trying to lead you into the place they want you to be, etc. But it is also the place where almost all your friends are, and almost all the books and newspapers are.

It's hard to leave it because it has valuable things inside (even your office might be inside the mall), but it's also hard to stay in without having your agency taken away by everyone competing for your attention. You could get a book from the bookstore, read it and talk to your friends about it, but it's hard to do that in a mall where everything is designed to take you to their stores, entertainment centers, etc.
How does one reconcile this with OpenAI claiming they will leave EU if the bloc “over-regulates”.

At extinction level threat, no regulation is over-regulation.
why do you people always talk like cartoon villains
Bulge-bracket tech workers might get those things, or enough cash to offset their absence.

Average-case tech workers certainly do not get several mandatory weeks of PTO. And the co-pays on their healthcare are also quite often "meh" (specifically, well short of 100 percent).