skysight-inc/HackerNews huggingface dataset:
> There's nothing to fix

The default. They need to fix the default.

> By your twisted definition, there is no such thing as E2EE for any transport in existence

What a ridiculous misunderstanding of my position. iMessage and iCloud are inseparable parts of the whole of iOS, all from the same company, and their default configuration is not end-to-end encrypted. My position is that it is fraudulent to treat them as if they were separate to claim "end-to-end" encryption in only part when it's broken by the other part by default. Plenty of other systems are legitimately made of multiple parts by different companies and can claim end-to-end individually when their defaults are appropriate, even if they aren't when combined together by users in non-default configurations. There is no contradiction here, it's quite unambiguous.

> No, if you use their full E2EE options, any of them, and you lose all your devices, your password, and recovery key (including any backups you've chosen to make on your own), you are hosed for any of the data that is E2EE protected.

This is false. Apple and Google both now have a system that uses your phone passcode (distinct from your account password and practically impossible to forget as it is so short and you practice entering it literally every day) as the key to unlock your encrypted backups. They use secure elements in the datacenter to protect the weak passcode from brute force attacks, even from themselves.

> The Reuters piece is obsolete.

The Reuters piece is as relevant as ever until Apple changes the default for iOS so that Apple can't read the vast majority of all iMessages.
I’ve thought about this a lot while restoring an old sewing machine. I conclude it comes down to the Labor-Capital share in a market [1].

Labor used to be relatively more abundant compared to capital. In these conditions, servicing an older machine makes economic sense.

With capital becoming relatively cheap compared to labor, servicing becomes more expensive. It then becomes cheaper to simply replace an appliance, utilizing efficiencies of scale unlocked on the factory floor though greater automation. Repairmen don’t enjoy the same efficiency gains because diagnosing and repairing an issue is still fundamentally a manual process.

1 https://en.m.wikipedia.org/wiki/Labor_share
Someone else might have more detail, but I believe these are “basically” massive metal tubes that are created by building up welds, one on top of the other, to achieve extremely high integrity structures for containing nuclear fission.
> corporate push to make people think of individual instantiations of LLMs as being their own entities, for scapegoating purposes

an airline already tried this.

"Air Canada argues it cannot be held liable for information provided by one of its agents, servants, or representatives – including a chatbot. It does not explain why it believes that is the case. In effect, Air Canada suggests the chatbot is a separate legal entity that is responsible for its own actions."

https://www.forbes.com/sites/marisagarcia/2024/02/19/what-ai...
Intel Launches First Systems Foundry Designed for the AI Era
> There's no such thing as a secure system

This is tautologically true. However, the car manufacturers haven't even tried.

They had the same default password for every car. Then they had wireless systems that were vulnerable to replay. Then they had wireless systems that were vulnerable to relay. etc.

The wireless systems on cars need two things: encryption and time of flight detection. The problem is that adds a couple dollars of cost per car and will lock out users some amount of time inversely proportional to the development cost (which the car manufacturers will shirk on so the system will suck). So, no manufacturer will do it short of being forced by legislation.

From an engineering point of view, the main limitation is the battery in the keyfob. If you interrogate the keyfob too often, it will drain the battery and consumers will complain.
I think we really ought to take a look inward here as an industry instead of blaming individuals. It's obvious that a lot of this bad faith ai usage is caused in part by the breathless insistence that this technology is the future.
Worlfram's ideas aren't wrong, aside from technical disputes. Anyone can learn a heck of a lot from Wolfram.

It's his way of making everything about himself and his plagiarism that put people off. He's Feynman without the charm.
The real story here is that Air Canada's lawyers argued, among other things, that the chatbot was a separate and independent legal entity from Air Canada and therefore Air Canada was not obligated to honor the made up policy.

In other words, this was possibly the first historical argument made in a court that AI's are sentient and not automated chattel.
Sure, but that is hard because religion is such a big part of our history. There aren't many large scale things from the past you can describe without talking about the influence of religion, because well, religion was there and it was pretty prominent.

However, that doesn't say much about whether religion was necessary for morality to substantiate. In fact, so many immoral things have been carried out in the name of religion, that you might as well wonder if we would have been much more morally advanced by now if it hadn't been for religion.
Aycock & Horspool came up with a 'practical' method for implementing Earley parsing (conversion to a state-machine) that has pretty humorously good performance delta over "naive" Earley, and is still reasonable to implement. Joop Leo figured out how to get the worst-case of Earley parsing down to either O(n) (left-recursive, non-ambiguous) or O(n^2) (right-recursive, non-ambiguous). That means the Earley algorithm is only O(n^3) on right-recursive, ambiguous grammars; and, if you're doing that, you're holding your language wrong.

A somewhat breathless description of all of this is in the Marpa parser documentation:

https://jeffreykegler.github.io/Marpa-web-site/

In practice, I've found that computers are so fast, that with just the Joop Leo optimizations, 'naive' Earley parsing is Good Enough™:

https://loup-vaillant.fr/tutorials/earley-parsing/
well that's the idea, but i've known many people who go to "therapy" and really all they're doing is paying for validation. i've known many more people who don't go to therapy and have never made any effort to work on themselves at all, and just expect the world to grant them some kind of protected status and absolve them of any responsibility for their own actions.
Opened the comments for exactly this. This person seems very nice but also convinced that they’re a business maven, which I think leads them to making “clear” observations like that. Microsoft hasn’t invested a full year of revenue into OpenAI, so it’s not that invested? Meh
I have it. I wish I didn't. Having it is like being in a batting cage, but the ball launcher is hurling baseballs at 5-50Mph at 200rpm. The smallest noise can throw me off an essay I'm writing or report I'm making, unless It's something I just adore like making video games.

It might have been helpful back in ye olden times, but It sucks having it in today's work environment. Boring desk jobs where you sit down and work 8-5 don't utilize it at all. At the end of the day go home wanting to do projects and to work on my future ambitions, but I'm just tired and end up not being able to finish them.
This is such an impressively pragmatic and generative thing to do!

tl;dr: they’re winding down one of their big oss projects (`rip`) because something more featureful came along that met their criterias. Now they can attend to other adjacent issues in their ecosystem.

This move strikes me as a very enlightened response to the emergence of uv. There’s no shortage of other problems to solve! Kudos to Prefix & co.
That sounds better than what my buddy who worked at Microsoft did, where he said he programed probably <10hrs a week and spent more time in meetings.
https://archive.is/isGg6
> from what I've heard there is little scope for promotion in Japan's economy for immigrants

Japan receives a steady influx of immigrants working on manual labour since the 80s - notoriously, from countries with large Japanese descendant populations like Brazil, Peru.

In the past, it was common for these workers to live frugal lives and make some savings before emigrating back. With the current Yen, today's workers go after better standards of living compared to their home countries.
Investing in Space: How bankers read a potential sale of rocket builder ULA
I strongly suspect there's some DEI-driven system prompts without putting much thoughts. IMO it's okay to have restrictions, but they probably should've tested it not only against unsafe outputs but safe input as well.
@dang Can we please have decent code block support on HN?
.yml is similar to .xml
We have implementations in different ML frameworks, so I am not quite sure which one you are referring to. Would you like to file a bug at the relevant GitHub repo?
Probably has a similarly short-sighted prompt as Dalle3[1]:

> 7. Diversify depictions of ALL images with people to include DESCENT

> and GENDER for EACH person using direct terms. Adjust only human

> descriptions.

[1] https://news.ycombinator.com/item?id=37804288
Climate Change Impact on Agricultural Land Suitability: A ML Eurasia Case Study
I hope it's model collapse, and I hope it's fatal.
I don't agree with the logic of their argumentation. It reads a little bit like this:

"Lock-picking tools are based on metal stick technology. If you ban possession of lock-picking tools, you will hamper the entire economy of tools based on metal sticks: everything from screwdrivers to knives to scissors. Instead, you should ban all entrance doors that are not of bank vault pedigree."

(Which is not to say that I agree with criminalizing the activities of genuine security researchers, while giving a free pass to bad security. I'm only remarking on the form of argumentation in the article.)
Why do you believe this isn't happening? Things like the golden rule and other normative ethical ideas are literally being taught in schools today, from kindergarten all the way up through required college classes.

The vast majority of people don't do bad things explicitly because they think it would be "bad". The vast majority of human behavior IS normative ethics right now! Next time you go to the grocery store, pay attention to what percentage of carts make it back to the cart corral vs are just left in parking lot, despite zero legal framework or forcing behavior to make it happen.

The human brain however has no difficulty squaring such "good and bad" concepts with doing bad things though. Everyone believes they are the hero of their own story, and the brain is willing to lie to itself to reinforce that belief.
Thanks for your reply.

That's my first point. In 10 years we have word2vec, GloVe, GPT-2 and... tiktoken. lol. It's as if directional, numeric magnitudes in an embedding space of arbitrary dimensionality have magically captured or will magically capture the nuances and expressivity of language. Optimization techniques and new strategies for domain adaption are what matters, particularly for mobile devices, on-device ASR and short-form videos.

I don't think robust is a good characterization of clusters of semantic attributes in space or a distributional semantics of language. I'd say crude and without understanding are more accurate descriptions. Capturing semantic properties sometimes is not the same thing as having a semantics.

By targeted improvements you must be referring to domain adaptation and by the default option you must be referring to attention over BPE tokens? You can move directional quantities around in directional quantity space all day. If it results in expected behavior for your application that you weren't getting before that's great. If that's all you want to get out of these models then indeed there's nothing to do here. I'm not after improvements so much as I'm after something that works.
Curiosity :)

SSG is somewhat tricky with solidjs, in fact I used Astro with solidjs integration to achieve it.
I thought by putting the YC class in Winter 2025 it would be obvious. Funny there is actually a checkr site that has a similar theme. Really I was too on the nose with this one
This is why we test our builds using continuous integration. Only updates that compile and pass the tests should be published.

How does Pijul handle continuous integration? If there’s nothing interesting going on with that then I don’t see how the UX can be any different for publishing new versions.
Apple Sports keeps fans up to date on the following leagues currently in season:

MLS

NBA

NCAA basketball (men’s and women’s)

NHL

Bundesliga

LaLiga

Liga MX

Ligue 1

Premier League

Serie A

I hope they expand their coverage for more sports like Baseball (MLB) and Tennis (WTA, ATP)
We strive to make conversation humanlike, so maybe less contact center ops development, but more focus on performance and customizability of voice interactions. As a startup, our edge over big tech is being nimble and executing fast.
> You seem motivated by ideology and hatred more than anything.

Please don't violate the HN guidelines. https://news.ycombinator.com/newsguidelines.html
Computer hacker dog wearing hoodie typing quickly [video]
There are already many APIs you can’t use, and more or less all APIs in general are now easier to use in swift. But sure, you can still write apps in objc.
This is the reasoning from the link above, which I post without comment.

> I always consider history important—both for giving credit and for letting one better understand the context of ideas.... I resolved that rather than just throwing in disembodied references, I would actually do the work of trying to unravel and explain the detailed histories of things.

> And the result was that of the nearly 300,000 words of notes at the back of the book, a significant fraction are about history. I did countless hours of (often fascinating) primary interviews and went through endless archives—and in the end was rather proud of the level of historical scholarship I managed to achieve. And when it came to traditional references I figured that rather than using yet more printed pages, I should just include in the notes appropriate names and keywords, from which anyone—even with the state of web search in 2002—could readily find whatever primary literature they wanted, at greater depth and more conveniently than from lists of journal page numbers.
No, the schemes being used are decidedly low tech for the most part and trivially detectable. Google's result quality isn't dying a death of a thousand cuts due to hordes of disreputable actors, it's dying a death of Google being dependent on a small basket of sleazy companies that they're economically in bed with.
+1 on this sentiment. I myself see myself leaving big tech. In the past I drank the kool-aid. There was a mission. There was a vision, and there were growth opportunities. Now I see people leaving left and right and none is inspired anymore - since it became clear that the mission is solely “making the world a better place by relying on our shareholders to do something with their money”.

I especially have the feeling that - while being in AI - leadership simply jumped too early on that train and now has teams full of people knowing that every project is set up for failure…
Posted by OpenAI. Prompt: "a computer hacker labrador retreiver wearing a black hooded sweatshirt sitting in front of the computer with the glare of the screen emanating on the dog's face as he types very quickly."
> Criminality is congenital.

This is a categorically disproven view. Thankfully, it's no longer widely held, but unfortunately not before it was used to justify millions of cruel acts from eugenics to genocide.
Flowcharts are reliable
In the spirit of CALEA, sealed sender basically pushes law enforcement back to good ol' days of "got the time", "got the IP addy", but "we don't know what was said".
That's a wild statement to make about UN's unproductiveness in the history of its existence. I'd like some evidence please.
> the UN [...] has not accomplished anything meaningful in terms of enforcing actual norms of behavior

That's because the UN isn't an actor in its own right, it is merely a forum through which countries can co-operate if they want to.
Why would you expect these smaller models to do well at knowledge base/Wikipedia replacement tasks?

Small models are for reasoning tasks that are not overly dependent on world knowledge.
the words "some" and "somewhat" are doing an impractical degree of heavy lifting. Pre-activation material is just not very radioactive and is thus not a terrorist risk. Post-activation material is basically impossible for a non-nation state actor to store and transport. If you just want to dirty up an area by, e.g., spreading radioactive material on a subway, just buy a lot of smoke detectors or do a midnight raid on a hospital or factory radiation source (not advice!). The point is, these are not going to be practical targets.
You're being purposely terse and obtuse so I must disregard your comments as undecipherable. The reality is that on-chip memory has a lower cost-per-bit than off-chip memory. It's lithographed into the silicon on the same layers as everything else, making it essentially free if you have room on the die. That's why integrated GPUs and SoCs are so popular.
> The unreliability of the California grid is almost entirely due to transmission, not generation.

I think describing night time as a problem of transmission is technically correct, but probably not the issue here.
Damn. You just described my whole life.
It doesn't play well with the Files system on iOS afaik..
you can use Django (python) with Types and the codebase will scale a bit larger, there are JITs available for Python too.

ctrl+click works great

can write simple Python code and not do anything crazy, works alright. up to around 30k lines I'd probably consider past the "prototype" phase though and would prefer a compiled language.
It's network compatible in that you can clone, pull, push, etc with a github repo.
Can't tell if you're responding to me or parent. But that's what I was gonna say to @canjobear...
I wonder what's happening to all that money. Back when they originally released Claude, they were second only to OpenAI as far as chatbot models were concerned. Although Claude wasn't as smart as GPT-4, it had a more pleasant writing style, and Anthropic later released 100k context. At the time, I expected Anthropic to be the next company to release a GPT-4-level model.

But since then Claude has been passed by Mistral's mistral-medium and Google's Gemini Ultra. More concerningly for Anthropic, each subsequent release of Claude has actually performed _worse_ on the Chatbot Arena Leaderboard. (Claude-1 outranks Claude-2.0, which outranks Claude-2.1.) The reason for the decline in ranking is seemingly that the most noticeable update is to make the model refuse more requests.

In an additional blow, the needle-in-a-haystack independent benchmark revealed that Claude's long context is not actually used effectively by the model.

All-in-all, Anthropic is not looking in a good spot, despite the massive investment. They need to start releasing legitimately better models, or risk irrelevance.
What teachers are saying is that socio-economics prevent any type of education from happening in many cases, i.e. there are many, many children who are going to struggle mightily unless the totality of their life systemically improves. Could teachers improve? Probably. Are teachers the underlying problem? I used to think so, but in dealing with our own school board/system it's very clear this is not the case.
I don't understand why Wolfram is getting the attention he is getting. His new theory of physics is not just riddled with problems, it also riddled with erroneous claims. He has also taken credit for ideas from von Newmann and Conway. We also have this issue of undecidable problems, he wants to violate up and down. He self-published his books, so that is one problem. Feynman warned us of Cargo cult science. Here it is in action.
Humans aren't perfect but they're reliable enough to be trusted with customer service work. Humans (generally) have a desire and need to keep their jobs and therefore hold themselves to a high enough standard of performance to keep their job.

And maybe employment contracts have language that offloads liability to an employee if they go rogue and start giving away company resources. Chatbots aren't accountable in any way and we don't know yet if their creators ever will be either.

And disclaimers are used in lots of contexts too.
In college creative writing, we all turned in our journals at the end of the year, leaving the professor less than a week to read and grade all of them. I buried "If you read this I'll buy you a six-pack" in the middle of my longest, most boring journal entry.

Sure enough he read it out loud to the class. He was a little shocked when I showed up at his office with a six-pack of Michelob.
It's inconvenient, but I've observed journalists who recorded calls by putting the phone on Speaker mode to increase the volume, and then used a second device (such as a laptop or iPad) to record the call.
I used to work for a company that sold factory automation technology, and had hundreds of manuals for all the products they sold. In the front matter of every manual was a disclaimer that nothing in the manual was warranted to be true. This was automation equipment running things like steel mills, factories, petroleum plants, where failures could result in many deaths and grave financial losses.
Can’t they link to sources? Like Perplexity.ai or Arc Search does.

I don’t even need it to tell me anything. Links are all that is relevant. Google Analytics on the Web does something similar. You can ask questions in the search box and it takes you to a relevant page.

“Can I get refund on my flight 2 hours in advance?”

“Here is a link to refund policies w.r.t time before flight”
Christ I'd love to get a 5000 word mini-essay from a colleague about ANYTHING we work on because we can't get into the details about nothing these days. It's all bullet-points, evasive jargon and hand waving. No wonder productivity is at an all time low - nobody thinks through anything at all!
That just gets me an option for "Start RTT Call". Nothing like call recording.

I'm on an S10e, which is not that new, so that could be part of it. I bought an older phone, because I really like my top grain leather case, so I wanted to get a phone which fit the case more than I wanted a more cutting edge phone.
Those are way harder than this:

https://www.youtube.com/watch?v=Hgs3LCp1F3I

And in major metro areas of the US, crime rings targeting newer cars for export, have just started using tow trucks.
Meta Is Asking Apple to Let You AirPlay Your iPhone Content or Screen to Quest
The current thinking is that it becomes a negative feedback loop, a kind of lossy "compression" of our cultural output. Combined with normal bitrot we'll eventually start losing components of our shared culture until civilization ends.