skysight-inc/HackerNews huggingface dataset:
Perhaps they do for B2B scenarios where competition is thinner and they are fewer options, but their B2C showings (FordPass, myFordMobile before that for EVs, SYNC) is lacking. From this outsider's perspective, part of this is due to having a diverse, international catalog of vehicles; part of this is due to lacking vertical integration; and part of this still is due to software engineering being treated largely as a cost center (though I think this is changing)
Ah, we're getting into more concrete considerations now. I think that's better.

(I mean, if you choose to use "mean" in a way that implies certain details in the causal history that I think aren't needed, and choose not to care about what AI systems do but only about that causal history, then all that's something you have the right to choose, and there's limited value in arguing about it. But if you have concrete predictions for what AI systems will be able to do, and what would need to change for them to be able to do more, then to me that's more interesting and more worth arguing about.)

So, I think we're agreed now that the kind of question that really matters, for determining how much understanding some entity has of the words it's taking in and spitting out, is: how does its linguistic behaviour depend on the actual world, and how would it vary if the world were different, and how will it vary as the world changes?

And I think we're agreed that today's LLMs learn about the world largely through their training process, which means that they have rather limited capacity once trained to adapt to the world, which puts real limits on what they can do.

(I think you would also say that it means they don't really understand anything, because they can't adapt in real time as those things change, but again I think that goes too far, firstly because there are plenty of things we consider ourselves to understand even though they lie far in the past and aren't going to change, and secondly because LLMs _do_ have some ability to learn in the short term: if you say "All snorfles are porfles and my dog is a snorfle" and ask it a few sentences later whether you have a porfle, it will probably be able to say yes and explain why.)

I am curious whether you think that, say, Helen Keller was dramatically less able to mean and understand things than most people, on account of being both deaf and blind and therefore dramatically less able to get new information about the world in real time other than "textually" (via Braille and the like). I think the available evidence strongly suggests that Keller was in fact able to understand the world and to mean things in pretty much the exact same way as the rest of us, which in turn strongly suggests that being connected to the physical world only through language isn't necessarily an obstacle to meaning and understanding things.

(Keller did have other links to the physical world; for instance, her tactile sense was perfectly OK. This is actually how she first managed to grasp the idea that the words Anne Sullivan was tracing out on her hands meant something. However, it doesn't seem credible to me that this rather "narrow" channel of information-flow was responsible for Keller's understanding of most of the things she understood.)

Suppose someone builds something like today's multimodal LLMs, but with constant real-time video input, and suppose it's trained on video as well as text. (It's not obvious to me how all that would work technically, but it seems to me that there are things worth trying, and I bet there are people trying them at OpenAI, Google, etc.) Would your objections then disappear?
All of what you wrote is mostly true, except that "not 100% perfect in a number of fields and usecases" is quite an understatement. You mention the cybersecurity vertical. As a datapoint, I have put the simplest code security analysis question to ChatGPT (4o mini, for those who might say wait until the next one comes out). I made a novel vulnerable function, so that it would have never been seen before. I chose a very simple and easy vulnerability. Scores of security researchers in my vicinity spotted the vulnerability trivially and instantly. ChatGPT was more than useless, failing miserably to perform any meaningful analysis. The above is anecdotal data. Could be that a different tool would perform better. However, even if such models were harnessed by a startup to solve a specific problem, there is absolutely no way for present capabilities to yield a 30-50% HC reduction in this subdomain.
I'm more confused now. If this is a tough and high-value task, we would not use gpt-4o-mini on its own, eg, add more steps like a verifier & retry, or just do gpt-4o to begin with, and would more seriously consider fine-tuning in addition to the prompt engineering. The blog argued against that, but maybe I read too quickly.

And agreed, people expect $ they invest into computer systems to do much better than their bad & avg employees. AI systems get the added challenge where they must do ~100% on what non-AI rules would catch ("why are you using AI?") + extra lift from AI ("what did this add?"). We generally get evaluated on matching experts (low bar), and exceeding them (high bar). Comparing to average staff is, frustratingly, a breakout.

Each scenario is different obviously..
By the same logic, pirating movies should be allowed as long as the person doing it watches enough of them for each individual one to be almost meaningless…?
Parse me, baby, one more time: bypassing HTML sanitizers via parsing differentia [pdf]
Apologies for the error

Example 1: https://news.ycombinator.com/item?id=42665771

Example 2: same

A submission can be both "flagged" and "dead" hence the example URL is the same
How Long Can You Stare at Your Wife
I am reminded of a passage from Charles Eisenstein's "Climate, A New Story":

Explorers and naturalists of previous centuries give staggering testimony to the incredible natural wealth of North America and other places before colonization. Here are some images from another book, Steve Nicholls’s Paradise Found:

> Atlantic salmon runs so abundant no one is able to sleep for their noise. Islands “as full of birds as a meadow is full of grass.” Whales so numerous they were a hazard to shipping, their spouts filling the entire sea with foam. Oysters more than a foot wide. An island covered by so many egrets that the bushes appeared pure white. Swans so plentiful the shores appear to be dressed in white drapery. Colonies of Eskimo curlews so thick it looked like the land was smoking. White pines two hundred feet high. Spruce trees twenty feet in circumference. Black oaks thirty feet in girth. Hollowed-out sycamores able to shelter thirty men in a storm. Cod weighing two hundred pounds (today they weigh perhaps ten). Cod fisheries where “the number of the cod seems equal that of the grains of sand.” A man who reported “more than six hundred fish could be taken with a single cast of the net, and one fish was so big that twelve colonists could dine on it and still have some left.”

I used the word “incredible” advisedly when I introduced these images. Incredible means something like “impossible to believe”; indeed, incredulity is a common response when we are confronted with evidence that things were once vastly different than they are now. MacKinnon illustrates this phenomenon, known in psychology as “change blindness,” with an anecdote about fish photographs from the Florida Keys. Old photographs from the 1940s show delighted fishermen displaying their prize catches—marlins as long as a man is tall. When present-day fishermen see those pictures, they flat-out refuse to believe they are authentic.
What I learned from my burnout: “Hope is a zero-calorie meal”. You can keep going on hope and belief for a while, but eventually you need sustenance. And that’s physical and social: good food, natural settings, daylight, being part of a caring group and family/friends, social standing, etc..

I had a belief that I could work for hours in an unnatural room based on pure willpower. And I could for a while. But eventually, without real positive feedback, you collapse. And then your “willpower muscle” is exhausted. You can’t use it. It takes a long time, from small steps, to build that back.
No, they'd call them protons; baryons are a class of particles, of which protons are a member.
Dunno why anyone in the startup space would be excited about new more powerful AI models unless they are just throwing a mask over their existential fears
> American management being more of the power tripping variety

That’s not an explanation. That’s just restating it. Why would Australians be less tempted by power?

Could it be that Americans are more exposed to management and hierarchy in their youth?
A model is an ingredient in an AI product. The product includes the UI, tools / RAG, apps on various platforms, system prompts and personality, and so on.

Lots of products have been successful without a technical moat. Facebook has network effects, Apple has UX (though silicon has become a technical advantage if not moat), Adobe has “everyone knows how to use these tools” switching costs, Google has brand synonymous with search.

Companies are betting that models will be commodities but AI products will be sticky.
My best friend was incentivised this way by his parents to learn a foreign language. We're talking about 30 years ago. At the time, I thought it sounded utterly ridiculous. Nowadays, he works as a schoolteacher, teaching that very language to kids in public schools. He has a PhD in it now. So, it all turned out rather well.
I agree with all of the above. The only fancy thing which I added is a work queue with multiple threads. There really isn't any pressing need for it since natively compiled tests are very fast anyway, but I'm addicted to optimizing build times.
Show HN: Working on a digital home bookstore app (MVP)
The problem I had is that I have lots of books which I love to show friends, lend out and some I would sell but I only get a chance when friends visit. Therefore I wanted a digital library to show off my physical book shelf.

Air Books let's you scan your home library with your phone camera and get a link to share with friends and family.

There are many features to add like cover image, searching across all bookstores, marking books for sale, lending, etc but this is the MVP to see if people like it. Please let me know what you think.

The scanning accuracy is not great yet; lot's to do there too.
"1) it's in the world's best interest."

How is pleasing Meta's shareholders in world's best interest.
Vice article brain,, all the “stories” of Dali hitting women were written,, by Dali himself, notably the case in which a woman enraged him by calling his feet beautiful
This is largely a package manager problem. There is a way to run Homebrew (the package manager widely used on macOS) on Linux in a rootless mode, and it will install packages into your home directory no problem.

It’s a good trick to have in your back pocket if you’re given an unprivileged user on a compute node and want to make use of modern tools.
University of Cambridge
Revision date: Tue Oct 23 16:58:19 BST 2018
So then nothing was actually cut and these weird people who are super passionate about the climate impact of WordPress of all things can continue to do.. whatever it was they were doing, for free as they were before? If the issue is having a slack channel in the WordPress org, they can just make their own discord server. No big deal.
I don't have anything to say about quantum computing but I did form an opinion about consciousness/self-awareness research in AI: we should actively attempt to develop an AI with these characteristics.

My logic first assumes that if it could happen it will. Based on that it would be better for it to happen while we're trying than it to happen when we're not even paying attention. It also means that if the AI exhibits some of the intended behaviours that we will be more skeptical of it being fake, where-as if it arises accidentally it could more easily be viewed as real and emergent. We we have cases of behaviours which appear to be self-directed and counter to our continued existence, we can learn to manage it from small cases to larger ones. This last point assumes that we won't have a big-bang step of going from nothing to the full thing to deal with in which case we only accelerated the timeline.
> Has Zuckerberg actually been charged with something with equivalent potential consequences?

I didn’t say Zuckerberg has been subjected to what Swartz was. Swartz never wielded the nation-state level power of a billionaire—it’s difficult to imagine how he could be subjected to similar psychological stress.

I said the law isn’t being applied to Zuckerberg (or anyone who has downloaded LibGen, for that matter) differently because the law was never applied to Swartz. Given the unpopular Swartz prosecution ended Ortiz’s career, and the lack of recent criminal copyright cases, it’s unlikely anyone would attempt to apply it as they did then. To anyone, including Zuckerberg.

TL; DR If you dislike what Zuckerberg is doing, you’re probably advocating for a clarification of the law. If you like it, erm, nothing much to do here.
> You have to pretend to cancel your plan!

you shouldn't pretend, just cancel your plan, do it!
My bad I read taxes as Texas for some reason. I guess that's what just being on a red eye returning through Texas does to you!
Affordable yes, but not sustainable.

FYI, You can now have 6 years of major android upgrades for 200$ with the A16 [1]

[1] https://www.gsmarena.com/compare.php3?idPhone1=13346&idPhone...
What do you replace ACF with?
> Take out trademark infringement, and you have only 1 prosecution per year per 700,000 people

What is it in America? Did we even have a single criminal non-trademark IP prosecution in 2024?
Sean Carroll discusses this in "The Universe is not a Black Hole": https://www.preposterousuniverse.com/blog/2010/04/28/the-uni...

Relevant quote:

> "Still, some folks will stubbornly insist, there has to be something deep and interesting about the fact that the radius of the observable universe is comparable to the Schwarzschild radius of an equally-sized black hole. And there is! It means the universe is spatially flat."
wat? facebook is going to 'not buy a book' for each book it's gone through. world's best interest that one of the wealthiest companies in the world don't pay their dues?
world's best interest? when we know nothing about the societal and political effects llms will have in the hands of such people?

what are you rationalising about?
I was going to keep this to myself to maintain a competitive advantage, but I will just drop two hints:

1) Have AI turn natural language interactions into programs

2) Use test-driven development on the domain data

There is a third thing that’s far more crucial but if you want to find out what it is, contact me. I’m building a general-purpose solution for a few domains.

Unlike the other two platforms I built (Web 2.0 [1] and Web 3.0 [2]) I am not planning to open-source this project. So I don’t want to discuss more. I will however say that open source is a huge game-changer — because organizations / customers want to be able to be in control and you don’t want to be reliant on some third-party platform for an API provider. We all know how well that one turned out for startups building on Web 2.0 platforms.

1. https://github.com/Qbix

2. https://github.com/Intercoin
It's just a side channel signal that they are self-aware of making unpopular decisions?
It is difficult to imagine that compile-time interpretation of tests is faster than compiling and running them for anything more complex. And for trivial stuff it should not matter. Not being able to do I/O is a limitation not a feature.
This is what a particle physicist use the term for. But for cosmologist on the question of matter composition they will use the term in different way. I was replying to exactly the quote from your reply.
That's literally what a placeholder is: it's a description of a suite of observed properties.

Hot dark matter would be a black body emitter - we would see it.

If it interacted electromagnetically then effects like the bullet cluster's gravitational lensing shouldn't happen.

And if it didn't interact gravitationally then we should see normal galactic rotation curves.
what comment
> And HMD is one of the better respected mobile brands.

[citation needed]
> Context requires quadratic VRAM

Even if this is not solved, there is so much economic benefit, tens of TBs of VRAM will become feasible.
https://archive.ph/FccLc
It doesn't.

And that's why the teams that really want to unlock AI will understand that the core problem is really systems integration and ETL; the AI needs to be aware of the entire corpus of relevant information through some mechanism (tool use, search, RAG, graph RAG, etc.) and the startups that win are the ones that are going to do that well.

You can't solve this problem with more compute nor better models.

I've said it elsewhere in this discussion, but the LLM is just a magical oven that's still reliant on good ingredients being prepped and put into the oven before hitting the "bake" button if you want amazing dishes to pop out. If you just want Stouffer's Mac & Cheese, it's already good enough for that.
>>...the price of upkeeping a beater car... ...not enough public transit in the US to avoid this reality outside of cities with high rent

It is not only the price of purchase, insurance, maintenance of a car, it is also the TIME you are condemning them to spend on commuting everywhere.

The solution is to make massively more residential development/redevelopment IN and NEAR the cities, such as now converting underutilized office space to residential, and not only passing regs favoring and encouraging such conversions (as is being done noe in Boston), but ALSO passing regs encouraging Remote Work.

And, where there IS public transit, encourage development there. Massachusetts is doing this, specifically encouraging conversion of offices to residential and overriding zoning laws within X distance of commuter rail stops.

Those are both good moves. But arguing for merely blanket 'develop anything anywhere' is literally stupid and will do more damage to society than any gains. There are reasons zoning was developed, and while a small part of it was racist/classist, most of it has very good reasons to exist. Simply overriding it is statist authoritarian, and saying people in their locales have no right to determine how they run their LOCAL affairs, from environmental, to historic preservation, to traffic patterns.

Plus, it's already been proven that cheap housing away from the city doesn't work. People can buy a trailer for $10-$30K and as spot for $400-1000/mth, or rentals for a bit more. But the locales are all away from the city. There are very few people who actually do it BECAUSE it is impractical to live so far from jobs in the city. If you want to house people more cheaply, it needs to be done NEAR their jobs. Destroying everything else for a bad idea will merely leave the problem unsolved, and destroy value.

I've watched towns have zoning, abandon it, then reinstate it a decade later because they saw what an awful idea it was to have none. I've seen towns that rezoned to "modernize" and destroy their character, and towns preserve their character and grow steadily into desirable locales. NONE of it is as trivial as you think.
> incentivize creation

Humans do that naturally (see: children)

The copyright laws are to protect profit.
The Panama Canal's Newest Voyagers: Fishy Intruders from Two Oceans
You’re also in Europe. The culture is very different.

I’m living in regions where homes regularly cost $3m. It’s unfortunate but people of similar backgrounds pair off here cause it’s unfair otherwise.
Well there is a difference between ICE producers wanting EVs to flop versus what consumers would buy and getting cleaner air.

If the same time and effort is put into EVs, we are going to get good examples, results, and sales. And that looks to have been what was feared.
0. There already are similar lawsuits against OpenAI https://www.documentcloud.org/documents/23963237-authors-v-o...

1. Because they literally said they used Books3 in the original Llama paper. The provenance of datasets used by other models is not as well documented. Books3 is known to be pirated.

2. Being free to use doesn't mitigate the authors' complaint in any way. (Compare: "I stole your bike, but then I gave it away.") The authors and artists (in the case of image models) want either a) to not have their work included in training sets or b) to be paid for that use via licensing. In either case they must enjoin the trainer of the model.
I connected my AC directly to my desktop. I can't be sure it isn't also phoning home, but I know I am controlling it without a remote server.

You are doing a "there can only be one binding constraint" analysis, and I don't think that is get. Yes, a lot of incumbents want client-server only, but IPv4 still gives them power enforcing the status quo. If we had IPv6 everywhere, they would need to try harder to enforce it, and we would have to try less hard to change it.
sounds really cool! would love to give it a go
https://archive.ph/qrpoA
> “WordPress is in trouble” depends on what “WordPress” is.

The one thing I’ve learned from all this drama is that all of the separated components of “WordPress”, from the .com to the .org and from the code to the hosting, were mostly superficial. Mullenweg appears to be equally in control of all of them and throws his weight around wherever it suits his agenda.
How long did it take you to go from deleting the account on the website to reinstalling the app? From your account it seems like the two events might’ve been close together, you should allow for a few days and check back.

Send them a GDPR request for your data and another later on for its deletion. Be aware that legally they have thirty days to comply.

https://help.uber.com/riders/article/submit-a-privacy-inquir...
What does “whether it’s worth it right now” mean? As in, whether companies are really worth as much as they’re valued?