skysight-inc/HackerNews huggingface dataset:
TSMC is a beneficiary but not as much as you'd think because NVIDIA charges a very huge markup and HMB DRAM is about half the BOM cost.
With background noise? My wife and I had an interesting unintentional experiment regarding this a few weeks ago at a Slowdive concert. She doesn't know the band well and asked me the name of each song as it began and then also asked Google's song identifier service. I knew all of them and Google couldn't even produce an answer, incorrect or not. Either because of the crowd noise or a live version is sufficiently different from any recorded example it has heard before.
I don't want to pay for the car nor the gas. Let's not let the same hostage situation extend to other aspects of our lives it we can avoid it.
What would you call it when AI doesn't have the answer so it makes stuff up (sometimes in a dangerous way)?
Once DJI gets banned, a new consumer company will come around and will happily import all the parts from China then slap on a substantial markup. I'm placing bets that DJI will somehow whitelabel the drones.

It's funny the lengths the US public and political machine will go to avoid blaming the business sector that outsourced all of everything to China over the last few decades. Chinese manufacturing got the tools and know-how to build these devices and have done a great job iterating on that knowledge across many different sectors and product categories.
If it never returns, then it's always rated for 10 return trips.
Just FYI, I recommend the Fed's "Report on the Economic Well-Being of U.S. Households" for metrics like this.

Some stats:

https://www.federalreserve.gov/publications/2024-economic-we...

> Eighty-two percent of adults had a credit card in 2023. They were nearly evenly split between the people who paid off their balances in each of the previous 12 months and people who carried balances from month to month at least once in the prior year. Just about one-quarter said they carried a balance most of the time during the prior 12 months.

> Fourteen percent of people used BNPL ["buy now, pay later", an alternative to credit cards] in the prior 12 months, up 2 percentage points from 2022.

https://www.federalreserve.gov/publications/2024-economic-we...

> Near the end of 2023, 72 percent of adults were at least doing okay financially, meaning they reported either "doing okay" financially (39 percent) or "living comfortably" (33 percent). The rest reported either "just getting by" (19 percent) or "finding it difficult to get by" (9 percent)... The 72 percent of adults doing at least okay financially was essentially unchanged from 2022 yet was down 6 percentage points from the recent high of 78 percent in 2021 (figure 1).

https://www.federalreserve.gov/publications/2024-economic-we...

> Table 17. Largest emergency expense individuals could handle right now using only savings

> under $100 (18%)

> $100–$499 (14%)

> $500–$999 (10%)

> $1,000–$1,999 (10%)

> over $2,000 (48%)

(Which I find this hard to reconcile with the following from the same page:)

> In 2023, 54 percent of adults said they had set aside money for three months of expenses in an emergency savings or "rainy day" fund—unchanged from 2022 but down from a high of 59 percent of adults in 2021.
Can't tell from the context that's here.

It's important to have a contract testing layer in place to make sure your test doubles are still behaving like the real thing, though.
But the mistakes made will be different, and historically you’d have a source to consider. Here there is just one global source telling you to add glue to your pizza to make the cheese stick.
It's going to be a disaster for SAR, policing, firefighting, and all kinds of public good. The whole thing is an incredibly shortsighted move that will literally cost lives.

The goal, I think, is that these organizations will migrate to Skydio or BRINC (as they have the only reasonably viable drones for most of these use cases IMHO).

The reality is that they'll buy Autel (just as Chinese as DJI) or just keep using DJI and hoping the FCC Radio Police don't show up, which is probably a safe bet. Anduril don't really sell into this space.
That depends entirely on your definition of "behind".

The MK4 delivers pretty much the same quality at the same speed as the P1P.

Paying 30% more to get an open-source, fully modular, fully repairable and customizable product that's made sustainably with fair wages is not a huge markup.

I'd gladly pay 30% more to get an Android phone that's fully modular, open-source, repairable, upgradable and made in the EU.
Vectorized K-Means Clustering
I hope they get the book thrown at them. Absolute scum.
I know a state police drone pilot. There are 6 people on the team.

They use Mavic 2A and 3 drones for thermal. Mostly surveillance.

They use DJI Avata for whipping through a house faster than people can. They use this for hostage and other possibly dangerous scenarios.

I know for a fact they are often breaking the FAA laws on lights and line of sight. They don’t care because they’re “good guys”.
Because a lot of the time, AI is _pitched_ (and hyped) as a higher standard than humans.
Also since national markets in Europe are relatively big by themselves a lot of companies tend to be satisfied with comfort of a single market success.
From the article: "This information, combined with the starting point of that object, allows its future positions to be calculated."

It doesn’t go into the details of recalibration, I’ll give you that.
> But I also don't think any of these things justify invading Ukraine.

Russian intervention was triggered by Kyiv botching the Minsk agreements and terminating ceasefire. That's the prime reason, since Russia is legally bound to provide military aid to Donetsk by the abovementioned agreement. Western propaganda is hard on erasing the side that never supported the coup in Kyiv.

Everything else are just additional grievances, i.e. assuming that the current Ukrainian government is crazy and non-sovereign enough to allow deployment of missiles previously forbidden by the recently dissolved INF treaty.
A good AI system is one where humans can intervene easily and the intervention makes the system learn and be better.
You put the ball in their court. They have to do something to get your money, which you might contest or ignore.

But ye it is not optimal. You'd probably want to have some record of trying to cancel.
I believe that the main drive was to stop a race to the bottom where everybody would advertize 1000000 hours lightbulbs but they all sucked and the technology would be considered worthless.

I seriously doubt you can recycle the tungsten as it literally evaporates and oxidize on the lightbulb.
> FP has more to say about purity of functions, the utility of composition of small parts, the flexibility of composition with small parts, ways to wrap parts of the program that can't be handled that way, and providing an existence proof that despite what an imperative programmer might think it is in fact possible to program this way at a system architecture level.

Adding to that, in my case it also made realize that deterministic elimination of entire classes of errors in large, complex code bases, in a systematic rather than ad-hoc way, is actually possible. Prior to discovering fp, and particularly Haskell's type system, I spent much effort trying to do that with a combination of TDD and increasingly elaborate try/catch/throw error handling. Discovering Haskell's compiler, type system, and monadic quarantining of effects obsoleted all that effort and was a huge eye opener for me. And a nice side-effect is easy, reliable refactor-ability. Being able to apply those concepts to imperative and other programming paradigms is where the real value in fp is, imho. Programmers still wrangling with the Tarpit [1] need to take a look if they haven't already.

[1]:https://news.ycombinator.com/item?id=34954126
They typically can only prove correctness for specific input data, and then there’s often still some runtime or environment-dependent chance involved which may cause some fraction of the invocations to fail. Is it correct or not if a single invocation succeeds? How can you be sure?
It's up 70% YoY.
In other news, I'm 'not 100 percent' sure I can solve the halting problem.
For what it's worth, this page works great in the mobile Chrome reader view.
You're not entirely wrong, but often these AI systems need some pretty clear audio to work. It's kinda shocking how good we are at working around bad audio when it comes to conversation, and I'm certain most people know how bad these intercom systems get. The issue isn't that they need to be fixed at all, it's how far they can go before they must be fixed. And the one thing we can do that AI can't is have face-to-face conversations. If the speaker simply doesn't work, it's a bit of a drag, but you can just pull up to the window directly and skip the entire audio system. Or just walk inside. Both options eliminate the problem hardware, where as AI would need additional hardware to do those jobs.
I agree that LED lights are a better example of planned obolescence.
It's weird to watch Adobe make these fundamentally short sighted decisions. I can only assume the ultimate cause is the individual motivations of executives and managers. "Oooo, if we raise subscriptions $10/mo, we'll make lots of money, and it'll look really good on my annual review." "Oooo, this cancellation fee will really help our retention, which will look really good on my annual review." "Making Photoshop subscription only will do amazing things for our revenue."

When you have complete market dominance, you have little opportunity for growth. If your employees and investors have an insatiable need for growth, you have to try anyway, and that's where things fall apart. The #1 threat to your magical money faucet is something replacing your product as the photo editor of choice, and you should be 100% focused on making sure that doesn't happen. To do that, you need to be focused on keeping up quality, periodically adding the latest features, and making absolutely sure that the next generation of artists is coming up using your tool.

That Adobe rep 25 years ago was 100% correct, but "I keep the money pipe flowing and did not actively make it worse" does not get you a promotion.
That's not how NVIDIA is making money. They're making money by selling metric shittons of A100's to Microsoft and Meta. Like ~$4 billion/year to each company for the past 2.5 years, with total CapEx outlays of around ~$10-14 billion/year each.

Microsoft's and Meta's weaknesses are that they don't directly have a specific need for all of this hardware. Much of it is being consumed by R&D without any products or profits involved directly. At some point, the pressures to monetize will come calling and turn off the blank check spigots.
All of the major cloud providers are building their own chips. Hell, Microsoft's hardware dev org pretty much all former intel employees.
The sugar free ones mess with your body as well, we just don't know much about them excluding aspartame.
none of this insight will help america compete with china. at first blush it seems like instead we're cutting ourselves off at the ankle.
Renewals cannot produce at night, or when the wind isn’t blowing, or under various other conditions. Even a good hailstorm can take out multi-million-dollar solar installations.

Nuclear is absolutely essential in providing a stopgap power source that can quickly ramp up or down as needed, yet which does not contribute to climate change.

Add in non-breeder reactors that produce much less waste, Candu reactors which are pretty much meltdown-proof, and Thorium reactors that can take spent fuel from “traditional” reactors and reduce it down to almost negligible levels of radioactivity, and we will have the backup systems in place to go truly whole-hog in on renewables.

We need a strong and vigorous network of recent-tech nuclear reactors in order to minimize or even eliminate our dependence on fossil fuels.
That sounds like it would create resolvable dichotomies and other problems.

As Segal's law states: A man with a watch knows what time it is. A man with two watches is never sure.
Tim Cook spent decades protecting both IP and profit by pitting vendors against each other. He's avoided being captive to China, and Apple will not let AI capture its business.
Fraud is bad, generally.
She’s a New York Republican, don’t assign anything to her with strong conviction.
Correct, the white label off brands are all the same products regardless of store.
DJI's no-fly zone database is completely independent from the US government. DJI would have to be compelled to add the US as a no-fly zone, which, if their drones are banned already, seems like a rather difficult thing to compel as there's no carrot at the end of the stick.
Right, China achieve all this thanks to its libertarian low touch low regulation small government and only if the stock prices of the American companies go a bit higher and the government is a tad less regulated they will do even better than the Chinese.
Have you taken a look at the paper "Foreign Function Typing: Semantic Type Soundness for FFIs" [0]?

> We wish to establish type soundness in such a setting, where there are two languages making foreign calls to one another. In particular, we want a notion of convertibility, that a type τA from language A is convertible to a type τB from language B, which we will write τA ∼ τB , such that conversions between these types maintain type soundness (dynamically or statically) of the overall system

> ...the languages will be translated to a common target. We do this using a realizability model, that is, by up a logical relation indexed by source types but inhabited by target terms that behave as dictated by source types. The conversions τA ∼ τB that should be allowed, are the ones implemented by target-level translations that convert terms that semantically behave like τA to terms that semantically behave like τB (and
vice versa)

I've toyed with this approach to formalize the FFI for TypeScript and Pyret and it seemed to work pretty well. It might get messier with Rust because you would probably need to integrate the Stacked/Tree Borrows model into the common target.

But if you can restrict the exposed FFI as a Rust-sublanguage without borrows, maybe you wouldn't need to.

[0] (PDF Warning): https://wgt20.irif.fr/wgt20-final23-acmpaginated.pdf
Everyone hallucinates stuff, you don't need to see the Virgin Mary to hallucinate. You hallucinate stuff every day, and you are not even aware of it. Even had a "déjà vu" ? Saw your black cat in a towel in a dark room ? Every day.
>give basically no chance to the explanation CEOs give (collocation leads to a more productive organization).

Well no, there have been years of chances for those CEOs demonstrate their position. That's precisely why no one believes them anymore.

The problem for them is that there has been zero evidence for what they're saying. No one has been able to actually demonstrate these supposed benefits (or, more precisely, the supposed harms to productivity that WFH brings). You can see this in how their claims shifted over time: in the early days of the pandemic WFH shift they offered the productivity claims you note, but it soon became clear that there wasn't any evidence for that. Then the claims shifted to vaguer, non-measurable ones about office culture and exchanges of ideas. When that didn't really convince anyone it finally shifted to "you have to because we said so".

So you're getting it precisely backwards: it's the proponents of returning to the office that now offer theories of conspiracies and secret data that totally support these moves but somehow can't be shown to anyone.
>My only question is, what took the FTC this long? Why didn't they do this years ago?

In general, the government and its agencies move very slowly. Compared to the FTC, Adobe's move over to subscription is quite recent. Adobe's only been doing subscriptions for what, maybe 10 years? And these problems are even more recent than that.

It also takes time to build up a case, even if they had looked into it immediately. Get a nice long paper trail, lots of documentation, consumer complaints, etc. That can take years.

As they get more familiar with the modern world of software, I think cases like this will take less and less time to deal with.
Persistent and frequent/high-percentage hallucinations? Yes, that's cause for concern/medical consultation.

But we don't over-react when humans are fooled by optical illusions/magic tricks, or when they conflate two things, or when they confuse correlation and causation, or when they selectively prioritize some information over other information, or...
I wonder if he does CT/MRI/angiograms to find any vascular abnormalities. Seems to be a big cause of sudden death, but they don't talk about it. One CT for a 70-year-old head of state doesn't sound like too much?
Her husband has lobbied for NSSF… Why is that bad?
This anecdote and using the word "deadbeat" is oft repeated but doesn't really have much basis in reality (even the article you linked doesn't cite any sources for the term). Credit card transaction fees generate revenue regardless of when you pay.
There's another one I remember reading at some point (it was definitely older than these, but I don't remember where it was from) where the question was something along the lines of "do you use a credit card for monthly payments" with the assumption of a "yes" meaning they couldn't pay it otherwise and were paycheck-to-paycheck by necessity. It completely ignored the people who use credit cards for the protections or convenience.
Then why do I need a computer to mis-remember things for me.
Not enough to replace humans in most critical tasks, but enough to replace Google, that's for sure. My own success rate to find information on Google these days is around 50% by query at best.
I wonder if this effect can be explained by the we form the "bouba"/"kiki" sounds when we speak them. "Kiki" has a sharper enunciation when using your tongue and mouth to form it, while "bouba" feels more like an open round one.
And once you've got control of one EU country, expanding to another EU country is just as complicated as expanding to the US is.

So if you're spending the same effort anyway, expanding to the US with 300 million people is much more profitable than expanding to Germany with 80 million people, or the Netherlands with 20 million people.

Which is why Spotify became available in Sweden, the US, and the rest of the EU in that order.
Probabalistic Computing is amazing 100% of the time give or take like 10%
I'm quite familiar with this space, thanks :)

DJI drones are being used in significantly lower quantities as "base stations" and long-range reconnaissance applications, with the occasional bomb-dropping side run.

FPV drones are being used in much, much, much higher quantity than DJI drones, owing to their massively lower cost to produce due to ... the simpler and mostly orthogonal supply chain!

Financing a consumer/enterprise camera drone production capability with an end goal of enabling the construction of large quantities of one-way FPV drones, as the parent post to mine suggested, would not be a good strategy, IMO.

Having domestic consumer/enterprise camera drone production capability at all is of course a good idea, but the quantity needed in war fighting is significantly lower, at least with the current tools and techniques seen in Ukraine.
DJI owns Hasselblad. It will be interesting to see if Hasselblad get hit by this as well. Not that I want to see it, just curious if there may be collateral damage.
I know plenty of actual humans who speak with apparent authority and experience on all variety of things they know nothing about. Current AI has copied an existing human behavior if anything.
Automotive Recalls in the V2X Era
Hard to swallow pills:

- When the goal of medicine is profit instead of helping patients the outcomes will be poor.

- When the goal of education is profit instead of teaching students the outcomes will be poor.

- When the goal of politics is profit instead of collaboration the outcomes will be poor.

- When the goal of business is political, educational or medicinal the outcomes will be poor.

Generic formulation:

Any attempt to apply a metric that works in one context to the entire system will result in poor outcomes.
Related: South-pointing chariot, 5th century BC

https://en.wikipedia.org/wiki/South-pointing_chariot
As an outsider, I'm just surprised to find out another weirdness of the US system :) I have no congresscritter to contact.

Around here if an agency is regulating something it also has the power to impose changes and/or fine. Those can be contested in court but involving the legal system for years isn't the first step.
That is true, and a big part of the problem. Vendors need to stop pitching it that way.
When I was first introduced to computers, I was shown BASIC and Logo (Apple II plus). Logo felt a lot like a LISP (at least, that's how it was presented to me... ) with a very easy way to make graphics (turtle model).

I couldn't really get into Logo- it felt too indirect, too computer-sciencey, so I went into BASIC and later Machine Language to learn how to build games (I was influenced by Choplifter, Lode Runner, Wizardry, and Ultima). It wasn't until some time later that I learned LISP and began to appreciate functional programming and the turtle model (I still am amused at how much I learned on that original Apple II that still applies today to tech like SVG).

I reflect a lot on how Norvig was a LISP guy and then when he saw what was happening in scientific computing, pivoted to treating Python like LISP (https://www.norvig.com/python-lisp.html and https://www.norvig.com/lispy.html) although I don't know that anybody really anticipated we'd have systems like Jax which really turn functional programming in an imperative language on its head.
Repeat of Harley Davidson situation?
I think it's always going to be harder to debug 1 thing, versus everything, regardless of how a system is built. If you're not mocking anything, then anything could have gone wrong anywhere.

But also, if you're able to fix things effectively from E2E test results due to a focus on debug-ability, then that's great! I think it's just the framing of the article I have trouble with. It's not an all or nothing thing. It's whatever effectively helps the devs involved understand and fix regressions. I haven't seen a case where going all in on E2E tests has made that easier, but I haven't worked everywhere!
Properly calibration expectations is part of it, but surely we could do better by having the AI cite proper sources and having it show us the line of reasoning? The problem is that right now you ask an LLM a question and it'll confidently give you an incorrect answer without any sources or explanation of the reasoning behind it.

Having tools that shift blame and confidently lie to you is a problem. Here's a recent example that bothered me: I tried using Meta AI to generate an image and it failed. When I asked why it failed, it kept lying and making up excuses for how it was my fault or my browser was doing something wrong. When in reality the probable explanation was that the image prompt included something that was probably flagged as sensitive content, which is why the image generation failed. (It wasn't even anything nefarious, I just tried several variations of catgirls.) If something goes against some content guidelines I want the tool to tell me that, rather than gaslight me with lies.
I've been wondering lately, what kind of product world would we be living in if LLMs got to, say, 99% hallucination-free?

Would it be the same world that some CEOs seem to think that we live in now?

Would it really become the job the killer that is feared, at just two nines?
Individual emails are only encrypted if the sender encrypts them, yes, and it's only enabled by default between protonmail users. However, the mailbox as a whole is encrypted at rest with some one-way method that doesn't allow proton to decrypt it: https://proton.me/blog/zero-access-encryption
Just "15 years" or Nothing