skysight-inc/HackerNews huggingface dataset:
Samsung had existing repair partnerships. Many were run by other Koreans, and very much had the feeling of a big family run conglomerate. Of course iFixit is going to get the short end of the stick unless they're providing real value to Samsung.

For Samsung, repair services are valuable to keep carrier customers happy so that the carriers keep pushing their phones. External repair services don't have that tie in. They probably even reduce sales of new phones. iFixit's partnership just doesn't offer the same value proposition.
Drinking is very unevenly distributed. Most people don't drink much, and many people don't drink at all.
I can see the trend of less drinking.

It's hard on the body. Especially as you get older.

You sleep like shit. Even with just a couple of drinks.

You're less patient with the people that you love.

Less motivated.

It just sucks the life out of you.
Yeah basically it's ones complement (or twos complement) but with the sign bit on the right, rather than the left.
Wolf, Goat and Cabbage Problem
No. You'll see that the anonymous artist's anonymous agent supplied a quote he got in an email to WaPo.
In your FHIR implementation, what version of USCDI do you support? I'm assuming you're following US Core profile's with your implementation guides? Have you implemented US Core STU 6.1.0? I know I'd be interested in using your converter and your exchange product if it could help facilitate what's required for ONC certification in 2026. I didn't see listed anywhere your capability statement URL that would give insight into what your doing.

I congratulate you on your launch and I'm interested in your converter. I'm surprised you didn't mention the TEFCA effort and wondering if you're planning on becoming your own QHIN (Qualified Health Information Network) or if you just plan on interfacing with all of the major QHIN's?

How are you handling interstate data exchange privacy requirements. Some states have restrictions on what data can be shared across state (thinking about this in terms of things like PDMP queries). I'm also wondering how you are handling the patient data access audit trail as well as information blocking filtering requirements. Perusing your documentation, it looks like you pass along the AuditEvent, does your system create additional audit trails for those who access the patient data? Or is that all being handled upstream w/ your QHINs?
Fargate is an alternative that runs on Firecracker as well. It's hidden behind ECS and EKS, however.
So yeah I do deal with 10GBaseT sometimes. IMO its mostly an economies-of-scale issue. 802.3an is up against some physical limits, but there have been many improvements even since the first products hit the market. The newer PHYs used in the newest multirate SFP+/BaseT transceivers, for instance are not nearly as hot as the old 1st gen products. More users = more incentive to fix the problem.

I wonder if it might be possible via software/firmware hack to unlock the 5G/10G rates on any existing 2.5G chipset?
It’s both - you have to go on living an aspect of your life as if it didn’t for a while in order to survive, and then when you have reached a safer point it becomes time to start unpacking it. Burdens are sometimes carried without us knowing it.
Great idea! Tried signing up and got `Email rate limit exceeded`.

Guessing this HN launch went well for you :)
You can simplify the "human hand" to a rigid metal sheet that comes down from the top and stops on the highest object. Still constant time, but no "parallel processing" needed.

The point is that reality itself is highly parallel
> However I hope we have planned for and train for these scenarios.

The instruction is to hide under a table. YMMW.
Looking for advice (web developer technical writers)
I submitted something here and i confused lots of people (again).
now its flagged and i cant response to the comments i got.

Meanwhile i'm trying to create content in web development industry. i'm simply gonna guide people to learn web development. There are lots of road maps for learning web development or any other subjects around the internet.

There are two type of road maps. those who are highly abstracted. those who just scratch the surface.

I'm trying to feed people a road map that has enough resources to dive them deep in the subject they are learning and be simple enough to help them go trough (this is the problem i faced in past and wanna do something about it). i'm not gonna sell them my course, i'm not doing affiliated marketing. all i'm offering is freebies that are scattered around the web that by chance i faced them in the past 7 years.

Now what is my problem? i'm inexperienced in content creation. i had just on submission in hackernwes which got flagged today and probably wasted the time of some people.

i'm reaching out to those fella who have experience in technical content creation. i need guidance to guide others :)

any advice is welcomed, Thanks
Big discussion [0] (830 points, 20 hours ago, 296 comments)

[0]: https://news.ycombinator.com/item?id=40447626
Who has the edge in the AI graphics card benchmarks?
> After "she" said no, then Altman auditions a bunch of voice talent and picks someone who sounds just like SJ.

According to the article, the word After here is incorrect. It states the voice actor was hired months before the first contact with SJ. They might be lying, but when they hired the voice actor seems like it would be a verifiable fact that has contracts and other documentation.

And like others, not defending OpenAI, but that timeline does tend to break the narrative you put forth in this post.
1. It stands to reason Sam could be held criminally liable over using someone else's likeness to promote his product. CEOs have been lost in federal court over sillier Tweets, and assuming Sam is in the right here is a silly move for any of us since nobody in this comment section has meaningful oversight of the OpenAI board.

2. If someone dedicated their life's work to building the Bioelectric Battery from The Matrix, I am going to call them evil. It's not because I hate The Matrix, it's because I consider the net worth of such a tool to be negative and object to it's creation entirely. If someone's vision is based on the wrong moral takeaways from a piece of media, then people will rightfully demonize them for it. That's society.

"The function of science fiction is not always to predict the future but sometimes to prevent it." - Frank Herbert
I don't think you can just copy SpaceX's falcon 9 reusibility and landing just by wanting to do it. Even once you've got the basic system it takes years and years of iteration to make it better step by step. Only one company in the west has really done any of that, and if spacex wasn't around no one would believe it could be done.

I'm sure it can be done eventually by China though, they are just as smart as anyone else. Can they organize their scientific and engineering forces as well? Knowing it can be done is a huge help.
I've got the same favorite line, it's pretty durable!
A single control panel would be nice... we've been in transition for how long now? Windows 8?
The concept of normal is a childish notion, having to do with a lack of appreciation for the complexity of others
Same for MacOS
Legally, the issue isn’t what they were thinking when they hired the actor, it’s what the intent and effect was when they went to market. (Even if there was documentary evidence that they actively sought out an actor for resemblance to SJ’s voice from day one, the only reason that would be relevant is because it would also support that that was there intent with the product when it was actually released, not because it is independently relevant on its own.)

Whether or not they had any interest in SJ’s voice when they hired the other actor, they clearly developed such an interest before they went to market, and there is at least an evidence-based argument that could be made in court that they did, in fact, commercially leverage similarity.
So this is an advanced form of reflective LCD? Interesting. LTT recently tested a color display like that too[0].

A few Questions:
Why is it black and white?
Does the Image stay the same when the device is off?
What is the surface like for the Pen? Is the Display recessed so there's parallax between pen and Display or is it laminated like an iPad?
How is the repairability? Can the battery be replaced easily?
How is software support going to be? Since I'm supposed to link all kinds of cloud accounts to it, I would not buy this without a statement regarding security updates and support lifetime.

Looks cool though!
[0] https://www.youtube.com/watch?v=c0TcGjzKbag
For MacOS, extracting attachments into files is useful so that Spotlight can index them for search. I believe the same is true for Windows.

Mail.app, uses a directory structure that looks similar* to this for say, gmail:

{account-uuid}/[Gmail].mbox/All Mail.mbox/{mailbox-guid}/Data/Messages/{msguid}.partial.emlx

{account-uuid}/[Gmail].mbox/All Mail.mbox/{mailbox-guid}/Data/Attachments/{msguid}/{mime part #}/{mime subpart #}/filename.ext

The emlx format is a bit different from eml. It contains the number of bytes for the message at the top and an xml plist at the end that has message flags, last viewed time, gmail labels, etc. For partial.emlx files, the base64 content is removed from the email itself and a content length is added.

This format has its drawbacks, of course.

* Not shown is the hierarchy based on message uid used to keep the number of files in the Messages directory down.
GOOD! I celebrate the death of the restaurant chains!
I think so too, but it doesn't seem like most people remember this.
Interesting, I find it refreshingly egalitarian and not classist and extractive.

It really bothers me how other airlines treat seating as a way to further bleed customers of money and create tiers.
Wow! I don't know if I would call that "structured", but it's pretty clever. And horrifying. Well-done!
This is very cool optimization.

I make a similar product offering fast Github actions runners[1] and we've been down this rabbit hole of boot time optimization.

Eventually, we realized that the best solution is to actually build scale. There are two factors in your favor then:
1) Spikes are less pronounced and the workloads are a lot more predictable.
2) The predictability means that you have a decent estimate of the workload to expect at any given time, within reason for maintaining an efficient warm pool.

This enables us to simplify the stack and not have high-maintenance optimizations while delivering great user experience.

We have some pretty heavy use customers that enable us to do this.

[1] https://www.warpbuild.com
How does that only refer to the voice? And how is that advertising, or using SJ's likeness or image?

I think the fact that the AI in the OpenAI demos acts like it is at a similar level to Her is far more impressive than the voice may sound like the one SJ did for that movie. Impressively mimicked voices aren't that new. Amazon sold a Samuel L Jackson Alexa voice years ago.
There was some discussion yesterday [0] (21 points, 4 comments)

[0]: https://news.ycombinator.com/item?id=40446764
It's termed personality rights[1] and this would be appropriation of her likeness. There's good reason that famous actors actually get commercial work and we don't just hire soundalikes all the time.

[1]:https://en.wikipedia.org/wiki/Personality_rights#United_Stat...
>> If you think they weren't trying to replicate sj's voice

Coevolution. The AI and the now-famous actor are the end products of a selection process aimed at a similar audience. The AI creators were likely aiming for the most attractive female voice, according to a bunch of young men. That parallels the process used by those casting action movies, which are also aimed at young men. It should be to nobody's great surprise that the end products of both share many features.

What is very odd is how similar celeb faces actually are. There really is a mathematical standard for beauty when it comes to female faces, which is why so many celebs are have eerily identical proportions. There is probably a model too for voices.

https://gotobeauty.com/plastic-surgery/how-math-shapes-moder...
While right to repair is in part about getting consumers to care it is just as much about getting regulators to care. They can do things like force the availability of replacement parts etc.

The right to repair movement seems to have its effects in the EU, with a ‘right to repair’ directive adopted by the EU parliament. Of course it still needs to be implemented into national legislations and the devil will be in the details… it shows the impact though.

https://www.europarl.europa.eu/news/en/press-room/20240419IP...
It is too early to tell for my current project. I know that it is very hard to create a successful game. Certain genres are more crowded than others though. Creating a successful 2D platformer is almost impossible nowadays for example. I am creating a grand strategy game. It is a niche where the supply and demand dynamics is reasonable, but it is still hard to create something successful.
I'm not. Your comment said that, for a certain group of superfans, OpenAI can do no wrong and will always be biased in their favour. nsvd added that other people want to see OpenAI fail and will view anything regarding them negatively. I'm just elaborating on that. For one reason or another, this discourse has become personal for many people - the specific complaints don't matter, many people will be coming in with preconceived notions no matter what.
Multiple friends have gone “California sober” (no or extremely rare drinking, just weed) and even the heavier users seem much better off for it.

I mean, the calories alone are really bad, before you consider the other harmful effects of alcohol.

Not saying it’s better than doing neither, necessarily, but it does seem a ton better than drinking.
This is a nice write-up, although it focuses solely on the US industrial output, which is indeed impressive, going from ~2,100 aircraft to ~50,000 in six years. However, that first table raises some questions - the Soviets were already at ~10,300 in 1939, and the Germans at ~8,200. How were they able to do it?

One major influence is that American industrialists were busy expanding global markets and happily supplied their technology and manufacturing processes to the two major buyers, Nazi Germany and Communist Russia, in the 1930s, with Ford being one of the major actors, perhaps more active in Germany:

In Germany:

> "Ford and the Führer: A History of Ford Motor Company's Involvement in Nazi Germany" by Paul Ingrassia and Joseph B. White: This work delves into Ford's business activities in Germany, documenting the introduction of assembly-line manufacturing and the company's interactions with the Nazi regime."

> "The American Axis: Henry Ford, Charles Lindbergh, and the Rise of the Third Reich" by Max Wallace: This book explores the relationship between American industrialists like Henry Ford and the Nazi regime, including detailed accounts of Ford's manufacturing contributions."

In Soviet Union:

> "Gorky Automobile Plant (GAZ): Built with the technical assistance of Ford, the Gorky Automobile Plant began producing vehicles using American-style assembly lines. Ford provided machinery, blueprints, and training to Soviet engineers and workers. Soviet engineers and technicians received training in Ford’s American factories, learning about assembly line production and modern manufacturing techniques."

I don't know if there's a particular moral to this story, other than that in search of short-term profit major American industrialists were happy to get in bed with any and all buyers.
You can't post about its WASM availability via Uno and then not include a demo link! (Sorry if you did and I missed it.)
Mine is 2 years younger but it resulted in post traumatic stress and high dissociation for me, and not nearly as bad effects for my sibling. We were treated different, had different roles, we are different in that I’m neurodivergent and he is not, and also he had a much more available social group of his age.
This assumes that the voice actress was an impersonator. By her own statements, no one who knows her has said that her voice sounds like Scarlett Johansson (personally, I agree). And she was auditioned and hired before SJ was even approached. I don't think that this falls under the "very standard" scenario you reference.
I don't get why they're using EBS here to begin with. EBS trades off cost and performance for durability. It's slow because it's a network-attached volume that's most likely also replicated under the hood. You use this for data that you need high durability for.

It looks like their use-case fetches all the data it needs from the network (in the form of the GH Actions runner getting the job from GitHub, and then pulling down Docker containers, etc).

What they need is a minimal Linux install (Arch Linux would be good for this) in a squashfs/etc and the only thing in EBS should be an HTTP-aware boot loader like IPXE or a kernel+initrd capable of pulling down the squashfs from S3 and run it from memory. Local "scratchspace" storage for the build jobs can be provided by the ephemeral NVME drives which are also direct-attach and much faster than EBS.
Very good questions. I mean looking at historical temperature records we're at the tail end of an ice age.

https://www.climate.gov/media/11332

The INTEREST on the national debt just passed military spending as a percentage of the US budget, mainly borrowed in the form of treasury bonds and government instruments from primarily rich people who are getting paid around 5% to use their money instead of being taxed. Meanwhile the working class just get their money taken via taxes.

It's one of the biggest wealth transfers in human history.

It's not really reported on though.

Of course the people in charge would rather you focus on climate change than this. And the cause of climate change is extremely hard to PROVE however it's easy to scare people with.
Getting WordPress running in WASM was a huge milestone. It was one of the first big PHP/WASM achievements, but was never the end goal, just a proof-of-concept. The target market for this tech is not WordPress bloggers.
I’m surprised it’s that high. Yikes.
Easy fix, just use $100 bills and we are only 35% of the way to sun. Problem solved.
Reminds me of one of my Maths professors in college, Ben Freedman. He was a writer and an engineer until his son Michael started asking math questions that dad couldn't answer. So he went back for his PhD in his 40s. Michael ultimately won a Fields Medal.
To me, figuring out the halting behavior of small turing machines is similar in spirit going over all short logical propositions and trying to determine if they are true or not.

Like it sounds like it could end up being useful somehow.
Would you pay $400 for this designer pineapple?
For what it pertains the finances, we simply will have to agree to disagree here. To be convinced I would require detailed financial data that you cannot and should not share with random strangers.

But to say something useful, let me try to elaborate my general criticism here:

> Prior systems either dumped massive amounts of cognitive load in the investigators face or took man years of effort to create a specific workflow, and in an adversarial dynamic space like fraud you need a much more dynamic approach to different types of new attacks.

This begs a question: Why didn't a computer system to summarize this data already exist? Or rather, what stopped the prior systems from doing this work? (And I'll consider conventional machine learning; classifiers and the like, as traditional computer systems here)

And there's generally two options here:

1. Conventional computer systems absolutely could do this work, but they just haven't been built. (Say, because nobody signed off on the R&D but would sign off on AI hype R&D)

2. The LLM system is doing a task the conventional computer system cannot do.

Number one's problem is simple: It's just inefficient and wasteful. Number two is a red flag: There's very little overlap between the things a conventional computer system cannot do, and the things you can trust an LLM to do reliably.

As you describe this system, selecting which data is relevant for fraud investigation is a very traditional classification task. Using normal machine learning for that is basically industry standard.

So what's the LLM actually doing? Subtract the hard logic of normal software, and the classification of machine learning, and the answer is generally: A complex nuanced reasoning task.

But that's precisely what LLMs are not to be trusted for, because they are incapable of that kind of reasoning.

> Listen. When John Henry battled the steam drill he did win, but it killed him.

You're missing the point I was making with that remark. It's not about firing people or not.

It's that these systems are dangerous to evaluate from a high level. It's very easy to miss externalities that'll tip the entire endeavour into a net-negative. You need the investigation of what exactly the AI systems are doing, on a specific detailed level.

E.g.:

> This is useful if say you have business people or whatever writing effectiveness or whatever testing where they can provide a specification of policy and a well prompted LLM can generate pretty exhaustive cucumber tests (which can be pretty redundant and formulaic when asserting positive and negative cases exhaustively) which can then be revised by hand as needed.

"A specification that has been prompted into sufficient detail" is just a program. You're describing the most inefficient declarative programming stack on the planet.

Granted, the programming stack to actually declare business rules this way isn't very good, but using AI here is just an error-prone transpiler.

It's very easy to "looks good to me" these tests and claim the project a success, yet miss subtle errors in the generated tests. I remain skeptical about how well these tests will hold up in the longer term.
There's no trend of less drinking. People are just doing more drugs faster than they are doing more alcohol.
> There's a tortoise living on the Seychelle's governor garden since 1882 and has outlived every single governor yet.

Is this just a fancy way to say that the tortoise is alive, and whoever was governor in 1882 is dead?
Keeping your seatbelt fastened - even though the seatbelt sign is off - is good advice.
> then after you rejected them

The article shows the timeline would make this them already licensing a similar product to your more famous one, then you saying no, and them continuing to use the existing similar one.

> But while many hear an eerie resemblance between “Sky” and Johansson’s “Her” character, an actress was hired to create the Sky voice months before Altman contacted Johansson, according to documents, recordings, casting directors and the actress’s agent.
If you mean multiple halting transitions, then it doesn't really help for BB purposes. If the machine does halt, then only one of the halting transitions will ever be taken, and the others will be 'dead code'.

If you mean multiple halting states, then that is possible, and it can be used as a model of computation for, e.g., computable functions returning a single bit as output. But you still don't gain any additional running time before the machine halts.

As for no halting transitions, the problem is choosing what point to measure the tape at. One thing you can do is to put a mark on one of the transitions, then see whether the machine only runs that transition a finite number of times, or if it keeps running it forever. This yields the "Beeping Busy Beaver" numbers [0], which are uncomputable even if you have an oracle for the halting problem.

[0] https://www.sligocki.com/2021/03/06/beeping-busy-beaver/