skysight-inc/HackerNews huggingface dataset:
Opencv is fine for basic models like the most popular one. This one is also sufficient in most cases, I have used it for subpixel 400m stereo with a 40cm base, visual odometry, high end 3d reconstruction etc, it also has fully functional variants for wide and fisheye. You just have to select the right model, calibrate without observability issues, verify the calibration, understand the camera, etc. The better tools help a little bit, but they do not eliminate the need to understand what you are doing in the slightest. The better tools are easier to use, but generally not more accurate. The spline field variants are more accurate if you know what you are doing and the right conditions apply, but much less robust if you dont.

Opencv calibration is hard to get right if you dont know what you are doing, and at first glance it will look right despite being irrecoverably bad. I had to edit the docs and tutorials because the examples they had were of FAILED calibrations. Visualizing the resulting distortion field is critical to understand if the calibration succeeded, and that s what the better tools provide. That said, if you dont know you are looking at, they likely dont help, and the golden rule is if someone calibrated something and said it was easy, they didnt. If someone has a pdh in camera calibration said they calibratied them but that they havent used them for sfm but they plan to soon, odds are 20% its right.
> Nobody really controls the T bill market.

"Lawsuit accuses 22 banks of manipulating US Treasury auctions" (2015) - https://www.cnbc.com/2015/07/24/lawsuit-accuses-22-banks-of-...

"JPMorgan probed over market manipulation of Treasury securities" (2020) - https://www.fnlondon.com/articles/jpmorgan-probed-over-marke...
I usually just see them with a stack of $0.50 coins.
Because it short circuits the tendency to only allow articles from “the right kind” of sites. It also opens up conversation on topics tangentially related to the link, but not directly about it - which end up being the best comments more often than not.
PwC Set to Become OpenAI's Largest ChatGPT Enterprise Customer
It has the capacity to derail it forever as SpaceX has largely burned through their NASA cash already.
or it has escaped people -- how CPU's have gotten blazing fast.

we can't notice of coure due to how software is these days. your average desktop CPU might have 8Cores / 16 threads.

if you rent a dedicated machine n skip the 'cloud sharing' your average web app -- won't be able to exhaust a single machine with 128GB Ram to 2TB Ram and 64 core CPU. Now we're talking about 288 Cores with the Intel Efficient CPU's.
Maybe not net negative yet but he's doing his best to undo prior gains in public opinion

For a variety of reasons, over the last few years, general public reaction has shifted from "Ooh! A Tesla!" to "Ew, a Tesla"

FSD promises not met, failure to evolve vehicle designs, the range scandal stuff, the debacle that is the Cybertruck...and yes, also Elon's frequent inability to control his impulses and keep his mouth shut
it is likely that the CVs would be correctly formatted - should candidates be given a link to the template of the correct CV?
I've been enjoying this kind of thing, I took photos of one of my sons "curious questions" books and pasted the text right into Suno, and made some rock songs for him based on his choices. We've also been able to do ones where he writes the lyrics (great writing practice) and then dance around to a song :)

At about 40s I really like the "WHY CAN'T WE BREATHE ON THE MOOOON"

https://suno.com/song/f283429e-ec3e-4152-b5be-a57cd72a6d9f
That is one source. But not the source.
BlackRock is well-known and manages more than 10T USD worth of assets.
There's plenty of work that will max out your NiC before maxing out all cores, or even one, with reasonably efficient code.

At some point youre just actually pushing 10 Gbit/s through a process that is using a few 10-15% per core.
(not parent)

Think about these different intentions, each deserving an audit trail with different attached metadata:

- brand new MRN for a newborn. The system should be able to provide info on the mother, at all points of care for the newborn.

- unknown person arrives in the emergency department unconscious. You’ll see imaging named John Doe in this case. The system should be able to retrieve info if and when identity is established.

- the machine-readable bracelet given at admission needs to be replaced. This is really two different cases: you intend to create a duplicate bracelet, or to correct an error in which all current info in the system needs to abruptly update.
Modeling identity doesn't end with synthetic keys though. "Generate own keys" only solves the problem of identity ownership. You now own the identity but it doesn't mean your identities are as they should be.

Say a customer used a different government-issued ID to re-register with your bank. A year down the line you notice that you have two identities for the same person. It might be a meh for an online game but if you are a bank this can make you run afoul of regulations. Can you handle the merge of all the relevant data? And merging is usually the easier of the two glitches - can you handle a split?

The point is that identity just like security requires thought from the start of the design.

For a domain where identity is really hairy (although admittedly with less consequences for screwing up) see https://news.ycombinator.com/item?id=4493959 "The music classifying nightmare". Also https://en.wikipedia.org/wiki/Identity_(philosophy)#Metaphys... for some philosophical perspective.
Great explanations and visuals!

Triplanar mapping may have worked as well. It would have fixed the seam and also the polar region. Given the simple texture patterns in the examples it may have worked well.
You are right, 0.13 is not a large part of 1.43.
I meant to say it's a large part of the sudden jump from around 1.2 the years before.
What do you mean dismiss? It's a pretty well studied area incorporated into most stuff research. What would you like to see additionally?
Is It Time to Stop Filming Strangers in Public?
Just too bad about the anti-european image on the github repo.

Dissimulated hate speech against native populations is something I refrain from supporting.
GWPSan: Sampling-Based Sanitizer Framework
I am not convinced the cloud was ever even remotely cheaper for compute than dedicated hardware.
those point to different dashboards/topics...
Dashboard: https://climatechangetracker.org/igcc
Paper: https://essd.copernicus.org/articles/16/2625/2024/
What you're talking about is by definition no longer facts but opinions. Even AGI won't be able to turn opinions into facts. But LLMs are already very good at giving opinions rather than facts thanks to alignment training.
I wonder if it's working for h265.
paper?
I took a look at a bunch of stripe customer ids I have stored and at least mine look very random on first glance. I assume their blog post uses demo keys or something similar.
I was this recently. I moved to US in November and it was February before I had an SSN. A bunch of companies had to put in fake SSNs into their system, which they have a standard for.
> It's only better relatively to the terribleness of the t* types though.

It's never a value add to use the t* types. That's poor misinformation or at least outdated information that people keep spreading.

The advantage of c7a or Graviton 3 though is you get real cores. Most of the t* get you vCPUs, and 1/2 of it are just threads. It can be up to 2x faster in that sense.

> Just ran the calculator and 8 VPCUs (to keep the rough laptop analogy) comes out at $316.

Does your laptop have 8 real cores not threads that can 24/7 keep its peak speeds? Most overheat and throttle... are we comparing the same thing?

??? USD?

c7a.2xlarge (8 vCPU) spot instance pricing is $0.1032 = ~$80/month (us-east-1)

Even on just a 3 year compute savings plan and we're on $144.71/month. You're not required to commit to a particular instance type - just the spending, so all good?

This is excluding storage. Either way there's no reason to use EC2 On-Demand without a savings plan or spot. At least commit some of it a year and it's a big saving. Otherwise don't use AWS.

Side note: EPYC 5th gen has been announced and we'll likely see way more improvements on top. Pricing will definitely go down.

Also: this is just a rant on AWS. Hetzner, OVH or even Oracle cloud is way cheaper, like maybe 1/2 to 1/10 of this $316... it's not a cloud issue - just AWS.
Richer models that fit better are often a trap, in particular for beginners. Use the simplest model you can get away with. Unless you know what you are doing, most people are better of with a simpler model as it will be more robust to observability issues. If you dont know what those are, use a simpler model.

Uncertainty propagation is very difficult to use for vision, and largely just modelling errors in vision as the error distributions, e.g. for anything observed or reconstructed from images are either subpixel accurate, or too non linear.
Honestly what’s more relevant is, is it an nvidia gpu. If not then you’re basically golden no matter what you use.
I disagree on both counts.

I think the fundamental question here is "how easily can you construct (write or generate) a parser that matches your intent?". And to answer that question, I think you have to look at the entire process.

What good does it do you to hear "your intent isn't clear; try again" if you don't understand where the ambiguity is? Presumably, if you knew where the ambiguity was, you wouldn't have written it -- since you know it can't create a grammar. So really what that message is telling you is, "you don't understand your own grammar" or "you don't understand how to write rules for your PG". And in my experience with several different PGs, the failure messages returned in those cases are... less than helpful. So you end up spending hours banging your head against your desk trying to figure out where the ambiguity is, even with a grammar you know back-to-front.

Furthermore, even if you use a CFG, you still haven't gathered evidence that the resulting parse matches your intent. For that you need test cases. And as soon as you write a test case, you get immediate feedback that your intent isn't clear, regardless of PEG, CFG, or anything else: you see that your resulting parse doesn't match with the expected one.

Given both of those things, it seems to me that issue at hand really does boil down to "which feels more natural, PEG, CFG, etc", which is always going to be a personal preference.
Interesting. I've last had to deal with formal grammars in the previous century, and your post had me go scratch the surface of what PEGs are.

If I understand correctly, your example is not a well-formed grammar, because of the left recursion.

So what you're saying is that PEGs align badly with our expectations, tempting us to create non-well-formed grammars, and making it hard to recognize them as such, because our brains want to parse them differently. Right?
Its a J P Morgan report. They are just nudging Buffet to spend that cash pile on something instead of sitting on it.
Great article! I like that it starts with circles and complex numbers ans builds up from there. Some other explanations try to only throw in complex numbers in the end.

If you are interested in this topic you might also like my visualization of a fractional fourier transform [1] and the complex plane [2]

[1]: https://static.laszlokorte.de/frft-cube/

[2]: https://static.laszlokorte.de/complex-plane/
This reminds me of the program 'ent' (which I have used for a very long time)

https://fourmilab.ch/random/
Anyone can file a lawsuit for anything:

* Casey v. Citibank (2010):

In this case, a customer named Paul Casey filed a
lawsuit against Citibank claiming that the bank owed
him the money for the bailout it received during the
financial crisis. Casey argued that because he was
a taxpayer, he was entitled to a share of the funds
Citibank received from the government. The court
dismissed the case, stating that taxpayers do not
have a direct claim to bailout funds allocated to
private companies.

* Bernstein v. JPMorgan Chase (2012):

Richard Bernstein filed a lawsuit against JPMorgan
Chase, alleging that the bank had "caused" the stock
market crash of 2008 and subsequently the loss of
his investments. He claimed that JPMorgan's actions
led to a decrease in the value of his retirement
accounts. The court dismissed the case, ruling that
Bernstein's claims were speculative and lacked
concrete evidence of causation and direct harm.

* Liversidge v. Goldman Sachs (2013):

Alan Liversidge sued Goldman Sachs for what he called
"psychological damages" stemming from the bank's
involvement in the financial crisis. Liversidge
claimed that the bank's actions had caused him
emotional distress and anxiety, leading to various
health problems. The court found the claims to be
without merit, as there was no legal basis for
recovering damages for generalized emotional distress
caused by market fluctuations.
Funny you mention "rust" because many modern things are written in rust to prevent bugs and generally to use modern programming paradigms.
Yeah I use two of them
It is normal (at least I should consider it normal), but not common (or should I consider it common?). We learn "apple, pear, banana" long before we learn "papaya, jujube, kiwi-fruit".
And to some extend this is a good thing.

You just need to carefully balance everything but ultimately as a 50 yo I appreciate Internet. It helps me to learn and to prepare for discussions (including the boring ones about UK royals and whatnot)
Breaking CO2 faster, cheaper, and more efficiently – UConn Today (2019)
I see your point, but in my experience you can ramp up some eg: Java developer real quick; and in a couple of months they can quickly start to become more productive than with Java.

There are alot of caveats here, and it highly depends on the teams, projects, maturity, quality of tools, and so on, but there are not alot of weird concepts in clojure that makes it that hard to understand (as a counterpoint to eg: rust borrow checking rules, or C++ templating, and so on).

The hard part with clojure is having just enough discipline to keep things in check.
The ordered choice operator should try all choices, not stop earlier.

There's probably some cache confusing, for instance, not matching the first Str rule at the third a with not matching a Str at all (neither rule) at the third a.

The original example (here with parentheses, just in case)

Str= ("a" Str "a") / "a"

matches strings of 2N-1 "a" repetitions if N is a power of 2 (i.e. length 1,3,7,15,31,63...) which is an obvious symptom of improperly constraining rule expansion. So I insist, you are using an incorrect parsing tool.

Interestingly,

Str= ("a" Str "a") / "b"

matches strings of N "a", one "b" in the middle and N "a" for any N, without degenerate behaviour.
Yes, that was a very classy move. I think it bears no resemblance to what is going on here.
You're missing my point. Servers are very expensive and are sized to task. If your NICs (or whatever) bottleneck the server with 32 cores worth of load, then you buy a server with 32 cores, not one with 64 cores.
Hopefully they make it to orbit this time.
I'd phrase it as the bulk of apps worth paying for are subscriptions from mega-services like Netflix. Those app payments may happen outside of mobile.
If testing takes too long to be sustainable outsourcing it to the customer seemed like the suggestion? Admit perhaps a bad example but point still stands.

Take the other example then: "pre flight calibration when one first takes it out of the box".
I mean, it certainly has a low Kolmogorov complexity (which is what I would really want to be measuring somehow for this tool... note that I am not claiming that is possible: just an ideal); I am unsure whether how that affects the related bounds on Shannon entropy, though.
Yeah, you can do live simultaneous calibrations and reconstructions and localizations. Its a difficult problem, and a slightly different one for each phone, but there are plenty of variants which work for single phone models. The imu is key to making it possible though.

What makes it harder is that older phones have insufficient processing power, whereas newer phones have too many cameras. The phones also do post processing in undocumented ways that are impossible to disable. There is also rolling shutter. This in turn can be simplified down again by just subsampling the images to 480p and estimating camera parameters per image.
Is there any Forth, that properly handles unicode strings, by which I mean, that it has sensible string length, substring and such functions or some standard library that has them? Basically all the usual stuff one needs. I tried to use GForth a while ago, but how to use strings properly was a mystery. I don't want to have to code all string functionality myself. Well, neither do I know how, nor do I want to. I guess I would have to study other languages' implementations and some standard documents or so for that, when actually I am doing another project. A gigantic rabbithole that would be. Afaik there is more planned in the 1.0 release of GForth.

Reading line after line from a file was also difficult. I could not figure out, how to clear the storage used for the previous line properly. When I read a shorter line after a longer line, the storage would still contain the longer part of the longer line after the content of the shorter line. Perhaps there is a Forth that makes this easy?

But it also needs to support that library, FFL, so that I have useful data types, and don't need to roll my own arrays or something ...

Maybe my design philosophy is fundamentally different from what is needed for Forth?
I don't know their income. Do you?
There aren't any, the closest is that some authorities reserve low sequence number plates for e.g. the local mayor
for small applications which is 99% of the applications out there - one main and a couple of replicas for redudancy. Would that be distributed systems ?

then also there's one thing -- let it fail. lots of things in the world fail occassionally or go down without real consequences. we seem to have forgotten that part.
"When, if ever, is a language too succinct for its own good?"

I'm pretty sure that K would be an answer.
Just as Charles would have wanted :)
> The problem for that scenario is that running your cars with electricity seems to be getting cheaper relative to ICE?

Only if you can charge your car at home every night. And even then, maybe not on EU electricity prices.

But the elephant in the room that you're missing is gasoline tends to be taxed to hell and back.

What do you think will happen when enough people switch to electric that the states notice the loss of revenue?
Consumer electronics

Certification: CE-RED

Function: BLE/2.4Gwifi

Standard:

ETSI EN 300 328 V2.2.2 (2019-07)

ETSI EN 301 489-1 V2.2.3 (2019-11)

ETSI EN 301 489-17 V3.2.5 (2022-08)

EN50663

EN 55032:2015/A11:2020

EN 55035:2017/A11:2020

EN IEC 62368-1:2020/A11:2020

Test items: RF,EMC,LVD

Sample: 2pcs RF,2 pcs Normal

Delivery time: 3 weeks
I get the feeling it's going take several attempts before re-entry is a success.

I have a feeling this launch will end exactly as the last one did.

Just a personal opinion.
Vanity plates are essentially free money for the govt. I am surprised every govt. body doesn't go for it. If you really don't like them, make them super expensive.
> For example, this is how they calibrate the camera on the robotic arm of the Mars rover.

I'm pretty confident that all cameras used in space exploration missions have been thoroughly characterized on Earth labs before launch.

For example here is paper describing the calibration activities for Curiosity rover: https://agupubs.onlinelibrary.wiley.com/doi/10.1002/2016EA00...
Thank you for keeping us old school computer vision guys in buisness. If deep learning folks actually used good calibration, and didnt constantly argue eh an offset of a few pixels does not matter, they might actually be competetive with classic methods by now. Well competetive accuracy wise, but not performance wise at least. Most VO systems localize a camera before the images have been uploaded from ram to the gpu, and deep learning will have a hard time getting around that kind of performance limit.
> This seems to be a continuation of the whole Daihatsu bullshit storm, and doesn't effect us Americans, and from what I can tell, doesn't effect domestic Japanese models either.

Minor complaint: Affect, not effect, is the correct word here.
Maybe also Janet?
https://janet-lang.org/
In short, you advise us to foresee the future, explore unknown unknowns and expect high-precision true answers from the outside. Good advice, not for this universe. You can only get false negatives in this one.

A synthetic key means “we think exists”. There exists a contract, a medical record, a person, in a real world, in our opinion. We record these existence identities into our model by using an always-unique key. Then there’s a date, an appointment #, a name, etc. You can refer to an entity by its identity, or search by its attributes. If you use searches in place of identity references, you get non-singletons eventually and your singleton-based logic breaks.
Transformers and deeplearning was reconfigured to be in 2D for GO.
Trying to apply 1D variants did not work, and people did try.
Radio.garden play radio from around the world by navigating a globe
A double edged sword though. A tribal member could be overcome by jealousy if they see a idealised western lifestyle on tap
> I just need ^W-j and ^W-k to work with terminal windows.

Why not use a mapping?
I kinda liked the Yaris Cross (from the outside, haven't even considered a test drive yet). Anyone can summarize what was so wrong with it that they stopped manufacturing for now?
> I might even get a spare phone to use as a home VPN proxy.

Most likely VPN will not applies on tethering.

And if you unlock your phone Google wont allow you to use VPN.

So it's not sounds like a good plan.
CEO of two companies adjusts some procurement from one company to the other.

If we weren't in a Two Minutes Hate against Elon Musk, this news would rightfully be a non-story.

https://en.wikipedia.org/wiki/Two_Minutes_Hate
> How was this not known or discussed before hand when evaluating the trial setup

It was. The problem here is that the FDA requires double blind studies for this kind of thing, but it's well known to be pretty much impossible to double blind studies on psychedelics. So they just kinda... tried their best at an impossible requirement and hoped the data would be so good that the FDA would consider it valid despite the obvious unblinding issues.
If you use a surrogate key, you still need a unique constraint in the table (probably the same columns you would otherwise call your natural PK). If your unique constraint isn't sufficient to capture the difference you mention, you need to add more columns.

However, that's strictly better than the natural PK situation, where you would need to not only add new columns to the key, but also add those columns to all referencing tables.
Nokia did the „stupid” things only when their business was already collapsing due to Symbian, not the other way around.

Took them around 4 years from iPhone’s premiere to get to that point. And I remember people saying that Symbian’s user base is too big to fail even weeks before the WP announcements and later up until the burning rig memo.

Ditto Blackberry, although blackberry had a shorter history at that time.
I made a website that uses AI to provide FREE design audits with feedback
https://jakeeshelman.com/about

> Jake is currently pursuing his MA in Ecology & Spirituality from The University of Wales, Trinity Saint David.

Ahh. That explains it!
This is click bait.
Not worth spending time on this article.
Can anyone explain why this isn’t a discrete optimisation problem? I don’t understand what aspects of problem would require a non convex approach