skysight-inc/HackerNews huggingface dataset:
> It can only be side-loaded on Android, because their app breaks a number of policies on privacy and data gathering.

I don't think this is the reason, I think it's more that they're just too lazy to jump through the approval and maintenance hoops that come with an app store, especially because their home market (China) doesn't even use the Play Store.

The iOS version of their app is Apple-approved and present in the App Store.

I do research in this space.

Their consumer apps are loaded to the gills with product-manager telemetry (tap/action tracing, etc., think Firebase/Flurry/whatever), and until recently they had a "sync flight logs" feature that would do what it said: give your detailed flight logs to DJI. It was opt-in, but it was easy to do by accident and many years ago there were bugs in the opt-in toggle.

They just removed this feature from US apps this week (too little too late, and too attached to reality and not attached enough to political pandering).

DJI also have a terrible track record with data security, with their entire AWS account getting ripped in 2017.

I don't think they're explicitly a CCP data-collection front, but sufficient product telemetry is indistinguishable from surveillance malware (this applies to US-based companies and US intelligence, too, of course).

However, their apps run on their own controllers are generally alright, and their enterprise apps run on their enterprise controllers in Local Data Mode are legitimately clean, barring a few versions with small bugs.

I fly DJI drones all the time using DJI RCs with network credentials forgotten, and I wouldn't hesitate to use one of these for consumer use. For the truly paranoid, use a burner email and a VPN to activate the drone.

I also wouldn't worry about using DJI Enterprise drones with the pro controllers in Local Data Mode for even moderately sensitive applications (infrastructure, law enforcement, etc.).

Of course I wouldn't use one for US military applications, insofar as it would be foolish to use any non-allied electronic device in this way.

ps - note that the analysis in the sibling comments are of older apps, DJI Go 4 and Pilot 1, not the newer flagship apps DJI Fly and DJI Pilot 2. The general theme (tons of dirty analytics platforms) remains the same, but the newer apps use more American platforms (Firebase, AWS-hosted proprietary stuff) rather than Chinese, and the "disable telemetry" and "disable data sync" options generally have fewer bugs now.
The OP doesn’t serialize. My proposal would still serialize as with RPC, but instead of passing the data over a socket, just pass the data as a binary blob over a regular function call.
When flakes are caused by bugs, the asymptotics are much worse in large software projects. Ignoring context and individualized distributions for each test for simplicity (in the spirit of the blog post), any given unit of buggy code has some probability p of causing a flake. When that code is used n times (or, more abhorrently, when there are n levels of p-flaky code) in the process, you have a 1-(1-p)^n chance of a given test failing. Apply the flake equation, and you get a runtime of:

O(f exp((1-(1-p)^n) f))

Your worst-case asymptote is still O(f exp(f)), but you hit it incredibly quickly because of the additional exponential in p. A single additional layer of abstraction (calling the same buggy subroutines a few more times) is all it takes to tip the scales from a manageable testing environment to a flaky time-suck.

It's not just in testing. If your software has those sorts of problems and isn't designed from the ground up to reduce the impact of errors (like how the shuttle program was built hierarchially in terms of redundant subsystems, and the flakiness of individual parts didn't have an exponential impact on the flakiness of the composite system), the same equations dictate that you'll have a critical threshold beyond which you have customer-facing bugs you can no longer ignore.

The author argues a bit against reducing the baseline flakiness (requiring expensive engineers for an unbounded set of potential issues). That's probably a reasonable approach for cosmic rays, rowhammer, and whatnot for most software applications. Compared to writing the code in the first place though, it's usually very cheap to also (1) name the function well, (2) make the function total (behaving reasonably for all inputs allowed by the type system), and (3) add a couple tests for that function. The extra development velocity you get from not building on shaky foundations is usually substantial in comparison. The second you have to worry about a transitive bug in the stack you have an exponential explosion in code-paths to examine when the feature you're building has any sort of reliability requirements, and those exponential costs add up quickly compared to a flat +10%, +30%, +100%, ... in time to commit each solid unit of code.
Except, this is a not optional rewards program. It's a rent bill paying service masquerading as one through captive exploitation.
I am 100 percent sure it can't.
Scientists unlock secrets of how the third form of life makes energy
> Right, and they are standardizing on CUDA.

How many people are writing to CUDA directly, and how many folks are using something like PyTorch front-end where the back-end can potentially be changed?

* https://pytorch.org/blog/pytorch-for-amd-rocm-platform-now-a...

* https://rocm.docs.amd.com/projects/install-on-linux/en/devel...

* https://dev-discuss.pytorch.org/t/opencl-backend-important-u...
> There are always cumulative errors in INS.

Is that necessarily true of this quantum thing? I know nothing about it except this article, theoretically if it kept track of exact Plank lengths or something, then there would be no errors to accumulate, right? Lots of the things that seem intuitively true break down in weird ways when dealing with quantum effects.
This whole thing is about the trade war with China.

Attacking successful Chinese companies with pretenses.
i dont get it. I if am taking a dependency on database or another class and i mock it using its interface, what is the harm in it?
Essentially i have tested that given my dependencies working correctly my class would also work as expected.
Some people are rich.
I'm confused, are you suggesting that these hydrogen programs are not going to use renewables sourced green hydrogen and that's a good thing?

Because if they use green hydrogen they need to build renewables to generate it. Most of the end goals can be achieved by directly using that clean electricity, and if you add in a hydrogen conversion then your doubling, possibly 10x-ing, the amount of generation required.

Recent lecture going over the figures and deflating the hype:

https://youtube.com/live/w0Q9cuF8zKg

Hydrogen has some uses, but for many of the things it is touted for it doesn't even come close to making sense.
You may not see this but I am curious: do you have some ~expertise in this general area? The "I found what I have been looking for" comment seems to imply so, so I can't resist asking.
They are already starting this work - and there is huge incentive to commoditize it and make fit into their datacenter designs.
> We envision a world ... where library patrons are free to read without fear of corporate or government surveillance

I would like to remind the public of:

# An attorney says she saw her library reading habits reflected in mobile ads. That's not supposed to happen

https://www.theregister.com/2024/05/18/mystery_of_the_target...
I like to press the shift key because it has a high chance of not triggering anything.
In reality, it should sound worse so people don’t trust it so much.

But those who sell AI products don’t want that.
Well, until there's an OS update. Most of us have gone down this road before - the old software works until it doesn't, it runs on the old hardware until that doesn't, it's usable until it's not. The actuarial table for any given software release is north of 5 years and south of 10.
And also:

https://blog.quarkslab.com/dji-the-art-of-obfuscation.html

Discussed at length here: https://news.ycombinator.com/item?id=39438842
>AirGod AirForbid we AirCall AirProduct(s) by AirTheir AirNames (AirEarbuds and AirSmart AirWatch) and not its AirMarketing AirName
...yeah? I don't think anyone has claimed they're developing this for consumer use.
An innocent dev was just overcharged $5k by Vercel while reading your comment.
Apple Discontinuing Apple Pay Later
This actually makes me a bit concerned about long term, general Ozempic use.

This to me at least makes one suspicious that this pathway is very deep in the reward subsystems of the brain, and is not just specific to say appetite and food.

What are the long-term effects of Ozempic use on these pathways? I am not sure we know?

For example, will people who have taken long-term Ozempic be less likely to do startups because their reward seeking behavior is altered?

It will take many years (decades?) before we get a complete picture of all the downstream effects of this.

Now, if someone is morbidly obese, severely diabetic, has heart disease, etc, I think it is pretty obvious that the benefits outweigh the risks. However, if it is used as an "easy" way for weight-control, especially long-term, I think there are still questions.

If you look back at the history of medicines, we do have a history of "wonder drugs" - see for example Heroin or even the COX-2 inhibitors (Vioxx) that later in retrospect had some major caveats.
> That's only true if you can keep up with payments. You'll soon learn what you do or don't own when you miss them

Yes, of course. If you can’t make payments, then you’re in trouble. Just like if you can’t pay rent.

I think the basic assumption is that everyone has to pay for shelter, in some form or another.

You do actually own your home as soon as purchase is made. But you have a lien against the home for some amount.

If you can’t make payments, you don’t lose everything. You get what equity is remaining after expenses.

But then, even when you pay off the mortgage you still have obligations like taxes, insurance, etc.
This is also helpful: https://github.com/srush/Tensor-Puzzles
> If someone steals my card, and uses it to pay for Netflix, how will I log in and cancel?

You dispute the charge, just like any other unauthorized transaction. That's quite different than changing your card number under their feet, and will be received as such by Netflix.
Generate a list of leads for Shopify related services or Shopify competing product.
every 10 milliseconds (or whatever), the base goes high or low, and by having a clock on board that can count 10 milliseconds, the puck can sample the pin and read a high or low value, and then you specify patterns from there. You'd have to make it so it can be connected in the middle of a packet and ignore it and such, but those are solvable. (Technically you'd sample more frequently on the pucks due to Nyquist.)

Ooh, just AM off the power pin itself is another clever of doing it. All comes down to price and what's the cheapest to implement so you can drive the BoM on the puck's down as much as possible.
Apple controls the customer interface and has a huge network effect. Consumers of AI services (when they exist in financially significant numbers) don’t care which hardware processes their inference (or trains their network), they only care about speed and price.

A better example might be Intel, but Intel at least had a unique instruction set. And of course Intel is more of a cautionary tale than a story of eternal market dominance.
driven by facebook in this case https://x.com/sophiebits/status/1800966114048147495
One outstanding charge won't tank your score.
I always use modifier keys like shift and ctrl for this very reason. Way fewer ways too accidentally mess anything up.
Ugh, this post is so much drama, while the actual events are pretty boring and happen all the time. React team changes something, there are unintended consequences, the change is reverted.
Fair point, this would fit quite snugly on a ship or a sub.

the real ones will probably smaller.

I wonder will having more than one improve accuracy.
> American brands are much, much more aggressive about making you connect to the internet, install our apps, create an account

This whataboutism ignores one very important point.

When you connect a device to an American company they might do things that we consider privacy violations, while still staying generally within the bounds of the law. We like to joke about data going to the NSA or something, but in the extremely limited cases where it does protections exist with oversight.

Contrast this to Chinese companies where by law every company is part-owned by the government itself. The Ministry of State Security literally has employees who show up to these companies every day like normal workers, but their job is to find and exploit intelligence on foreign individuals and businesses.
Depends on what you consider the "problem". As Congress sees it, the problem is two-fold... You have no control over your data. The company that does have control over your data is beholden to a foreign country not currently considered "a close ally".
You forgot to preface that with "Uhm ackshully..."
Actual TDK press release.[1]

Older TDK story from 2020.[2]

TDK claims "a next-generation solid-state battery with an energy density of 1,000 Wh/L, approximately 100 times greater than the energy density of TDK’s conventional solid-state battery." Their "conventional solid state battery" is a tiny thing used in meat thermometers, a ceramic device with, like most ceramic devices, good high temperature tolerance.

Lithium-ion batteries are around 250–693 W⋅h/L. So this is maybe 2x existing lithium-ion technology. That's about what everybody else is claiming for next-generation solid state batteries.

Incidentally, gasoline is around 9,500 Wh/L, although only about half of that reaches the driveshaft.

End result: longer cell phone battery life, and an end to "bulging" battery failures.

[1] https://www.tdk.com/en/news_center/press/20240617_01.html

[2] https://www.tdk.com/en/featured_stories/entry_024.html
Could you elaborate on why that implication might be true?

I can think of a counter-point:

Humans can deal with 'error-cases' pretty readily. The effort of humans to get those last few 9's might be a linear effort. For example, one extra checklist might be the thing that was needed, or simply adding a whole extra human to avoid a problem. OTOH, computers to get that last 0.001% correct might need magnitudes more effort to get right. The effort of humans vs computers does not scale at the same rate. Why therefore should we think that something that humans can do with 2x effort would not require 2000x better AI?

There are certainly cases where the inverse would be true. Where human effort to get better reliability would be more than what is needed for a computer (monitoring and control systems are good examples; eg: radar operators, nuclear power plants). Though, in cases where computer effort scales better than human effort - it's very likely those efforts have been automated already.
That high level of reliability in aviation is likely thanks in part due to automation of tasks that computers are good at.
agreed, but it's probably less than 9%, because energy will get much cheaper
https://archive.ph/X6KRe
That's with the assumption that AI progress doesn't just stall out.

I doubt they'll continue to buy a significant amount of GPUs if they stop seeing significant enough
performance/quality gains.
What I want to know is how complex is the inference on these models? My understanding is that the generation of responses (the inference) is what most of the compute is spent upon (as opposed to the training). But is inference much more complicated than a very very very big matrix matrix operation? Does it require many of the capabilities that these fancy GPU's have?

I'm also not clear how much of the cost of running models is really because the models are too large to fit on a single device? If we start making devices with very large (terabytes) of memory, how much compute do we then need?

tldr; Would it not be cheaper to build more specialized hardware that has massive amounts of memory (enough to hold the entire model on a single device)? I'm wondering if this sort of hardware (large banks of memory + relatively simple compute) is not a market that many of NVIDIA's competitors can easily enter.
> But at what point do we run out of training data?

Multi-modal LLMs trained on video / YouTube won't run out of data any time soon. And LLMs can always train on an endless supply of synthetic data like code.

> And at what point does spending $x million more on training the base models no longer provide that much more value?

My understanding is we're still waiting to see where on the S-curve LLMs are in regards to scaling. So far it seems like scaling hasn't hit any diminishing returns.

I haven't read many sources talking about the practicality of that though. Even if LLMs continue scaling performance as we throw more compute + data at them, at some point it may just become uneconomical to continue. Capital expenditures also have their own utility curve. How far away are we from that point?
"So think I think I can actually bend i- oh shit."
It's important to seek multiple viewpoints.

All doctors will have their lenses for which they view problems.

Psychological, pharmaceutical, nutritional, etc.
If the service takes any money, it should not be hurried.

Missing privacy policy, no physical address et. will get you flagged as scam site in EU pretty fast.
Yeah the keys to make it all work are

1. It's easy to create the objects you need

2. Your creation functions are well tested so that the rest of your tests can rely on them.

If you have spotty coverage or just poorly defined creation semantics, or it's a bunch of calls to functions all over the place just to set up your test data, then this doesn't work.

But the solution typically isn't "write a bunch of JSON mock test data", it's to solve those problems.
Yeah, this is really nothing more than a cross-promotional look at us. Just two originations trying to get their names out by mentioning AI.
Novo Nordisk is running their lines at max capacity and cutting production of some other drugs. I think the last number I saw was new weekly prescriptions are up 3x from Dec 2023.

Unlike Eli Lilly (who use chemical synthesis for Zepbound) they use yeast for synthesis and have decided not to contract out production to protect manufacturing trade secrets which makes ramping up slower, have to wait for their Denmark plant upgrade to come online.
> the community could have chosen open standards over subservience to team green

i think most people would rather have proprietary software that works rather than opensource that doesn't
You're talking about innovations in "working around the system." These are often orthogonal to innovations in actual tech.
Aren't those American companies (other than Samsung)? I mean, they're all global/multi-national like most big corps, so it's not as clean as that. But it seems like you're actually agreeing with the parent...
Which is where they shift focus to lock in and growing the amount of your things that live in their walled cloud garden.
I don't think they were just

> a couple hundred years behind
We do not have an established history of accurately predicting or managing the costs of overwhelmingly expensive government programs, at least here in the US.
Oh, well, I guess I hope they win their appeal because it's too late to unring that bell. When I read about it, it seemed like a very open-and-shut infringement case, though. It seems like their only chance will be drawing some activist judges who want to make new law.
> However, the mailbox as a whole is encrypted at rest

The server still receives from other servers and from the client (if the email is not going to a proton account) the plain text, so nothing prevents them from making a copy.
Sure but that wasn't the main thrust of what I was replying to. Also, I guess it only has its own Wireguards or (if we want to talk about inflated promises instead of outright fraud) hundreds of start up like Qwant that promised to challenge the big American man in (2) more weeks or just a few more subsidies.

The only difference is that we hear a lot more about American success and failures as they are sadly utterly dominant in media presence way beyond their own borders. And Europe seems much more likely to just keep its skeletons hidden in its closet, and tries to talk about them as little as possible.

(For example,see how the German regulators dealt with Wireguard by going after the journalists that sounded the alarm for years. Or how Europeans love to discuss American issues like racism while ignoring how much worse the issue can be in their own backyard. Or the commenters here that recoil at any criticism of the EU and invent some conspiracy where said criticism obviously comes from. I never see any American accuse Europeans of being behind sentiment that is critical of the US.)

Americans love to be very loud about their issues, for better or for worse.
You have to report the card is lost or stolen then the new number will not propagate. You likely asked for a replacement card which will propagate the new number through the network.
The problem is also that this class of drugs (modified peptides) is produced in a very different way from most drugs (small molecules). When small molecule GLP-1 receptor agonists hit the market the shortage will be over very quickly. There is a lot of capacity to produce small molecules in place already. Many companies are currently racing to bring small molecules to market.
The goal is to delay bad actors, though, and that doesn't really help with that.
If you are asking a professional high-stakes questions about their expertise in a work context and they are just bullshitting you, it's fair to impugn their motives. Similarly if someone is using their considerable talent to place bullshit artists in positions of liability-free high-stakes decisions.

Your second comment is more flippant than mine, as even AI boosters like Chollet and LeCun have come around to LLMs being tangential to delivering on their dreams, and that's before engaging with formal methods, V&V, and other approaches used in systems that actually value reliability.
> Windows should be smart enough to know an empty password doesn't meet the password complexity requirements or is of length zero and not count it against the 'bad password count'.

All that logic sounds like a recipe for introducing a side channel attack into the system. Much better to keep things simple.
Arc AGI: – Ryan gets 71% accuracy on a set of examples where humans get 85%
"Novo Nordisk’s market value of $570 billion is now bigger than the entire Danish economy—creating a ‘Nokia risk’ for Denmark."

https://fortune.com/europe/2024/05/01/novo-nordisk-market-va...
I am curious if the benefits for alcohol addiction are from the reduction in appetite or reducing the actual dependence on alcohol. Either way still good to have another relative safe way to treat alcohol addiction.
yeah, to me it seems like a pretty reasonable investment even when you aren't being ground under the boot of kleptocratic government corruption, but an obviously good one when you are, unless they start levying a special solar panel tax ot something