skysight-inc/HackerNews huggingface dataset:
When you hear 'Titanium' mentioned in an engineering sense, rarely is this a reference to elemental titanium alone; structures use alloys of titanium which means small percentages of other metals are added (aluminum and vanadium for example are the two principle alloying metals in Grade 5 titanium, 6AL4V, probably the most common in aerosapce applications), and then the wrought products are even further processed through solution heat treating, etc. The same goes for aluminum, steels, etc. This is the purpose of the entire field of metallurgy....

Your comment would be like the equivalent in computer science of saying "Why do you need to write a computer program; the computer either works or it doesn't..."
They made $11.292B total profit for all of 2023.

Also, what's more likely; One of the most efficient supply chain coordination companies in history with razor thin margins is leaving tons of cost savings on the table...or...random internet commenters like us don't actually know that much about Walmart's business nor the basic economics of labor markets?
Map of forest sounds from around the world
A podcast discussing books
I might be missing it, but I don’t see a link to that info from Apple in the article.

But I did just find this, which confirms what you’re saying. https://www.apple.com/apple-intelligence/
Eh, I think this is a don't throw the baby out with the bathwater scenario.

You have way more time than you might expect after a plane crash. "Finally, [Captain] Sullenberger walked the cabin twice to confirm it was empty" [1]. If anybody had grabbed their hand luggage (especially from below their seat) they would've still had time to evacuate.

[1]: https://en.wikipedia.org/wiki/US_Airways_Flight_1549#Ditchin...
Not to forget the rates. Euribor went from negative to positive in 2022... This alone had effect on some delay.
> 1. Car makers doesn’t release new cars every single year

They do. The 4 numbers that typically start with 20 or sometimes 19 indicate the model year of a vehicle which does change periodically.
This is all fine but it's virtual signaling to the likes of PG and other VCs. To be merit based they'd need blind entrance exams so as not to fast lane referrals, friends of friends, alumni networks etc.
George Carlin was right. The planet will integrate plastics into its ecosystem.
Totally forgot that X is blocked in my country, but app does not aware and does not display any connection errors
The best AI experience right now isn't just using SOTA models, but using them in a way that plays to their strengths and avoids their weaknesses (hallucination, limited reasoning, etc).

The way to minimize hallucination is to use LLMs to manipulate text (translate, summarize, query, reword, etc) rather than generate it out of thin air, and arguably Apple are doing this by integrating LLM use into the product and therefore controlling it's application, rather than just providing a chat interface that people are wont to use an hallucinating "search engine"/oracle.
You need to be trained to use a parachute. You also can’t jump out at 35000ft doing nearly the speed of sound and expect to have a good time.
Ask HN: When will we hit a limit on LLM performance?
All the AI founders (e.g., Dario Amodei) seem to believe that we're nowhere near the end of seeing performance improvements in LLMs as they are trained on more data (i.e., LLM scaling laws) - at least that's what they say publicly, but they obviously have skin in the game. Curious what knowledgeable people think who are not incentivized to make optimistic public statements?

What I really want to know is, assuming capital / compute is not a constraint, will be continue to see order of magnitude improvements in LLMs, or is there some kind of "technological" limit you think exists?
My mother and I were just discussing how dumb people have gotten in just the past few years. It’s like they don’t think any deeper than a meme - no nuance is considered. You easily see it in the political realm. The only thing we can come up with is social media being the cause. I remember seeing a video (on Reddit) of a teacher teaching his class, and 100% of the students were looking at phones instead of listening. Say what you want about the quality of the teacher, students, etc, but that level of disengagement didn’t happen before social media.
It’s about the fact that the current install base (which also goes into the millions) won‘t get stuff for free.

If Apple is doing it for pushing sales (Mac users with an m1 will get it without hardware upgrades and these devices are over 3 years old by the time of release) is anybodies guess.
>Programming is chaotic magic. There are no rules. You ask a game dev “Can the player summon a giant demon that bursts from the ground in an explosion of lava?” and they’ll say “sure, that’s easy” and then you’ll ask “can the player wear a scarf?” and they’ll go “oof”

-Alex Blechman
>A huge set of media companies have shifted to using AV1

Such as? Most YouTube videos I am watching are still VP9 at 1080p/1440p, and there's no reason to watch 4K on phones (you still can, but lower battery life is your own choice in that case).
i dont believe relativity space has said this, and i dont speak on their behalf

i have no idea what they do, im not in this industry
In a crashing plane, the best position is in front of the plane. There, at least the drinks trolley comes by one more time.
Here's a door: [#]
There's a lot of expertise with lithography around the world too (companies like Canon build lithography machines), but we're not talking the usual levels of it.

The EUV lasers ASML/TRUMPF builds don't even work the same way other "conventional" lasers would[1]. You physically can't get there by incrementally improving some existing process. Now I don't know how ZEISS makes mirrors that blown up to the size of a country would have imperfections smaller than a human hair, but I'm pretty sure it's no small feat either.

These companies invested decades and untold sums into this when few other companies even had incentive to attempt it themselves. Sure, other companies could eventually replace them, but you're not closing a 2-decade technology gap in an afternoon.

[1] It's a bit insane, really. Vaporizing falling droplets of tin with two laser pulses 100,000 times a second to get just the right wavelength? Here's a good video: https://www.youtube.com/watch?v=5Ge2RcvDlgw
While I'm not a huge fan of Apple's thing, either, it isn't the same level of ridiculously over-aggressive data collection.
For the reasons given in the article, the author and readers here who are convinced might also consider getting a copy of Pocket Ref.

<https://sequoiapublishing.com/product/pocket-ref/>

<https://en.wikipedia.org/wiki/Pocket_Ref>
It would depend on the mechanics of the crash, but sure. Safety belts are inelastic, so any shock and subsequent deceleration experienced by the body at the end of the belt's slack will be absorbed by tissue and skeleton.

This is also why climbers use "dynamic" (elastic) ropes (when climbing, not necessarily for rappelling). Even a very short fall on a static line could be fatal.
Would the CEO of a Multinational oil company lie to you for money?
I'm not sure yet if I'm happy or sad with Vercel's destruction of React. After 10 years of React, I think imploding it from inside was the only way React could lose its lead. They achieved it!

Even tho we don't have a clear alternative yet.
> rely so much on imports

Seriously, try to design anything non-trivial without a TI part anywhere. Even in China, foreign brands are everywhere in electronics, and much of it is imported.

There's a lot of scope left for China to penetrate the "low end" semiconductor (and other electronic parts) market as well.
This is the first time I've encountered anybody else who has figured this out and says it openly.

For those who wonder how: If it wasn't for taxes being collected in the currency of the government, people and businesses would conduct their affairs in other currencies that do not decrease in value from inflation. That's also the reason why there will never be any simple taxation system, such as land value tax or whatnot. In order to keep everybody using the government currency, the taxes demanded in that currency has to be applied to every and any economic activity imaginable, otherwise people will flock to other currencies after having paid their dues, and the government currency value collapses.

This is also the reason why the public sector workforce is of an enormous size, even in supposedly capitalist countries. Public sector workers cannot choose another currency for their paycheck.

This is the reason why most third world countries cannot create a stable government currency: Their tax collection is not effective or comprehensive enough. Unless all the population is put under government issued money by rigorous taxation, they will choose other currency.
I've heard that the Ukraine War, and consequent loss of Russian gas, was devastating for German chemical and manufacturing because of the increase in cost of not just energy but also feedstock.
While also providing no actual metrics for their so-called "merit"-based system. Oh, you prefer "smart" people, you say?! What a concept!

It's like the screechers about "meritocracy" never get the memo that the issue people have with it is not it's conceptual structure, but that its details aren't ever (in any situation I've seen) spelled out with the kind of logical consistency that they pretend they are relying on. Does "smarter" mean "came up with a working solution in the shortest time"? Or maybe "came up with the most robust solution during an allotted time"? What if they both come through, which one has more merit? Is it contextual? If so, when does the context determine precedence? In short: How would a rational actor plan for upward mobility using actual metrics (no wiggle-words like "think nimbly", in your so-called "meritocracy"?

I mean, I get that it's easier to just handwave the details and blame any counter-argument on "woke"-ism or an affinity for DEI, but I've never had a single person be able to satisfy my very simple logical questions about their meritocracy with any kind of truly actionable information. And most people who try to convince me haven't even - themselves - experienced these meritocracies. The people who work for these companies usually say they're not meritocracies. It's mostly the people on the outside, looking in, (or on the top, looking down) preaching the company lines rather than trying to hone in on specifics.

But I'm sure Scale is different...
because of the 'panic pessimistic breaking news everywhere', I guess. Somehow people want to believe that it's all really THAT bad and not that we are managing those hard times quite okay-ish
It’s weird that there’s people who seem to be “against” AI assisted programming.

That’s like being against IDEs or git.

It’s like writers who were brought up on typewriters being against word processors.
On the Indian reservations in the US, the land isn't wholly owned by the individuals. It is kept in a tribal trust where a lot of people own slivers of the land (called land shares), and it cannot be used for things like securing loans and economic development if often redistributed through various means. There has been a lot of write ups on this over the years.

It is also the poorest and most corrupt parts of the country. Shit happens on the reservations that would even make Congress blush. If you want to see what happens when land is devalued and not ownable, look at the reservations.
A Postman Built a Surrealist Palace Out of Pebbles
Indeed, these days it's more likely to be meatpacking or auto parts
> weren't a lot of the inflation issues post covid a direct result of Trump's unrestrained borrowing even in a growth economy

Where are the modern monetary theorists when you need them?

They seem to have all disappeared lately. Used to see them as pundits on news shows daily (or in replies to my comments here) and now they are just gone suddenly.

It was legitimately the belief of the ruling class in the US that printing money isn't inflationary. You would be laughed out of the room to suggest the fact. I was.
Something that might be obvious to some but not to all: "Weightlifting" here means "resistance training" in general, which therefore includes bodyweight training, which therefore is relatively easier to get into, at least compared to the "hassle" of going to the gym.
> It's amusing to think back to all the buzz around Humane's AI pin

It certainly is. And the Rabbit R1. How in the world did people who supposedly know anything about AI think they could make that work as a standalone device detached from rich context. The sad thing is, rich context may not be possible outside of OS-level integration that is gate kept, but I still think they're idiots for trying.
That means we hire only the best person for the job, we seek out and demand excellence, and we unapologetically prefer people who are very smart.

We treat everyone as an individual. We do not unfairly stereotype, tokenize, or otherwise treat anyone as a member of a demographic group rather than as an individual.

That sounds great and all, but how? How exactly do you ensure that you only hire the best person for the job? How do you prevent unconscious biases from causing you to unfairly stereotype, tokenize, or otherwise treat anyone as a member of a demographic group rather than as an individual?

There is a mistaken belief that meritocracy somehow conflicts with diversity.

I think there is a very well founded belief that organisations that claim to be pure meritocracies struggle with diversity.

I strongly disagree. No group has a monopoly on excellence. A hiring process based on merit will naturally yield a variety of backgrounds, perspectives, and ideas.

That’s probably true, if the hiring process truly is based on merit and nothing else. We have no way to tell if that’s the case here.

MEI has gotten us to where we are today.

Or maybe it was just product/market fit.
But why would anyone buy a phone upfront when you can get them subsidized by the carrier with data and talk? I end up paying the same after 22
months but I also get more. Last phone I bought upfront was 20 years ago when WAP was still a thing.
As someone actively pushing a company away from that model to the ubiquitous M365/SharePoint/OneDrive approach, there are so many hidden costs to 'a network share'.

How are you managing VPN access to file servers? How about backups/versioning? Any searching? Access control that can be easily managed by end users? Data governance, RBAC, compliance audits? BYOD/mobile device access?
This article feels like stating an opinion. I suppose the autopilot analogy is at the heart of their argument but the argument as of now feels a bit too flat. There are definitely some jobs that technology completely displaced, and there are some that merely made something more accessible. For example, grinding grain with the advent of modern milling equipment vs microwaves. Milling machines make hand driven milling something of a niche whereas microwaves arguable have displaced no jobs in cooking and food preparation. We need more of an argument as to why GenAI will be more of a microwave technology vs a mill.

Anyway, I actually am more towards this is a hype cycle that will pass, it's just the article itself didn't really drive home the argument in my opinion.
Android's Bluetooth stack, Fluoride, comes to ChromeOS
People designing and using CAD systems don't care about materials, it is just "stuff" with a name.
That is completely contingent on if present the day SWEs stop working on trying to eliminate the hallucinations.
> The misaligned incentives between security and profit

Cynically, there is no incentive for security; there is ONLY profit. Security comes into play only where it can increase profit, it's a second order effect. (Of course, there are legal and regulatory pressures here for it as well.)
This feels rather blogspamish. The numerous benefits of weightlifting are widely known and this article doesn't add any new insights or interesting takes.
Lawyers, Doctors and Buerocrats... oh no, they are fine.
It's frustrating just how shit AI is at coding. The new gpt model seems even worse, splurging out a load of guff that makes it even more difficult to see the bullshit it's produced.

AI a threat to humanity, my ass.
Eh, it's only a matter of time until new nvidia clusters are in production and we start seeing what hardware designed for training massive models (roughly 100x bigger than anything we know of at least) can do.

With some additional architectural changes we might start seeing some sparks of real human stupidity.
Well call me a heathen, but I've never even considered React. Instead I always generate HTML server side and spruce it up using a little JavaScript if necessary (I even use jQuery sometimes). It's reliable, works fast, easy to debug, requires little maintenance, doesn't require a build chain of >100K files of several hundreds of megabytes.

Of course I'm open to the possibility that I'm Doing It Wrong™.
> "Well, I would build an extension to my house, but that would raise my property taxes."

Yep, I hear it all the time! Keep in mind that effects here will be related to property values and improvement values. One of the most common things people consider when renovating is how it will impact resale value. If taxes only impacted land then you would see a much better return on investment for every single renovation because your building/renovation is not taxed anymore, so the sale value of a property will increase by a larger amount than it currently does if you where to improve it.
React since 17 feels like coding with LLMs: it had a bug, they asked ChatGPT to fix it, it addes more bugs, they asked ChatGPT to fix all of them and now we have a useless piece of software completely unrelated with the initial solution
This is extremely unlikely for several reasons.

1. There hasn't been a crash involving a commercial flight with few survivors in living memory. Either you get something like MH370 where everyone perishes or you get Asiana in SF which had three fatalities.

2. Absolutely baloney about the belt, the worst you can get is a bruise.
Anyone else feels as if acidic bile is rising up their throats at the mention of the word "startup"? I think it is my mind's simulated response to toxic culture, colossally bad deals for most startup employees, and the vile VCs.
I’ve reported comments like this that were delivered in writing and HR couldn’t care less.
I work in small businesses accounting (not an accountant), so take my view with a grain of salt. But labor is its own category, separate from COGS. Contractors show up as indirect expense.

I’ve never heard of any kind of worker or contractor in Capital Expenses/Balance Sheet. That’s wild.

Generally Accepted Accounting Principles don’t let you put t labor wherever you choose to ‘categorize’ them.

But you can pay consultants and buy services from “third-parties”, which moves the expense, as I described, from payroll to indirect expenses. This falls into that funny gray area for contractors—looks like a duck…
Sort of but Adapters allow for multiple weight adjustments (think loras) for specific skills so it is more like extra optimized mixture of experts or multi agent approach. They have a slide with adapters listed like summarization, prioritization, tone (happy, business, etc), editor, etc) -- this is not to be mixed up with Intents which is how on device apps publish their capabilities to the Intelligence system for real npu os level multi agent tool use.
https://pubmed.ncbi.nlm.nih.gov/20101012/

This is the referenced study, I was impressed with the results. 12.6% is notable!
I really appreciate that you took the time to clarify this. I was surprised by parents comment about needing auth twice but they seemed confident. Honestly worried I have apps with auth gaps!

But what you wrote matches my understanding. I have some routes that are pure LiveView and some that go through controller routes with HTML, and it was clear to me where I needed auth when I made them.
Because then the carrier charge about 10x what they'd charge a SIM only customer for the data, and it usually ends up costing more for the handset going through finance than buying it outright
Sure, deal is a deal - but from what I understand, the root problem is that the board that agreed on the deal had a bunch of people that were too close to Musk?

Say you're the CEO of some corporation XYZ, and you're best buddies with a majority of the board of directors.

You then suggest that if you can hit a list of goals, you'll get the option to purchase a huge number of stocks, at a deep, deep discount.

You - the CEO - will make a ton of money, while other shareholders will lose money due to dilution.

So this begs the question, who must the board of directors look out for. The CEO, or the other shareholders? And if a majority of the board is buddies with the CEO, introducing bias to the picture, should the deal have been voided?

If you're some investor that bought XYZ stock years ago, and it 10x'ed since then - a little dilution isn't going to hurt your investment much. If you're a shareholder that bought a stock today, and tomorrow it is worth less due to dilution, and the possibility of the CEO dumping stocks, that's another thing.
Definitely, my point is that having an easy natural language interface for all products opens up new possibilities for users of all tech levels. It's not about Apple or Google Photos being first; it's about making technology accessible to everyone. And its not about "AI" its about a different way for the consumer to utilize technology.
The danger of LLMs isn't really in their ability to parrot existing questionable content, but in their ability to generate novel questionable content. That's what's got everyone obsessed about safety.

- Generating new malware.

- Generating new propaganda or hate speech.

- Generating directions for something risky (that turn out to be wrong enough to get someone injured or killed).

But LLMs generate nearly everything they output. Even with greedy sampling, they do not always repeat the dataset verbatim, especially if they haven't seen the prompt verbatim. So you need to prevent them from engaging in entire classes of questionable topics if you want any hope of restricting those types of questionable content.

It's not "we can't let this model get into the hands of adversaries, it's too powerful" like every LLM creator claims. It's "we can't let our model be the one adversaries are using", or in other words, "we can't let our reputation be ruined from our model powering something bad".

So, then, it's not "we can't let people get dangerous info from our model". It's "we can't let new dangerous info have come from our model". As an example, Google got so much shit for their LLM-powered dumpster fire telling people to put glue on pizza.
> This article feels like stating an opinion

You nailed it. This kind of thing should be saved for a personal blog and not printed in a scientific journal.
Mine too! Stock is up, CEO pay is up, but the business environment is very difficult when you ask for a raise c