skysight-inc/HackerNews huggingface dataset:
Like estate agents the brokers help you with (probably) your largest financial transaction in your life. They can increase the price, or tell you if you aim too high. Have a look at https://www.discretioncapital.com/ They charge only on success, but that also means they don't accept every client. (I met Einar a couple of times at conferences)
What I observed in my neighborhood is that the school playgrounds which used to be unfenced were essentially secondary parks. But they have since been “locked down”, removing more places kids once could just go to hang out in our paved over subrbia. I also had the benefit of an undeveloped forest behind my house to go explore and play in, but I don’t think most kids these days have access to that without an adult driving them to such a location. Walkability to nature is a big plus.
Operators and functions are effectively the same thing, yeah.

In CS we normally mean #4 though ... which can technically be thought of as a variation of #3 passing/returning "the whole universe" as an argument (and including the actual arguments in the implicit lambda capture), but thinking like that only makes sense for functional programmers.
It's still true that there's no Applebot-Extended if it isn't crawling pages. Rather it's a marker to ask Applebot to limit what it does with your pages.
> Plenty of parents leave for work before breakfast and get home after dinner.

These families are dysfunctional ime
Because they want to build a better product for users rather than one that's been gimped by regulators?
> Intermediate: I know everything

I was in this phase about a decade ago, which was just a few years into my professional life. I knew nothing back then and I know very little now.
If they use Llama.cpp they probably run on the GPU. Apple hasn’t published much about their neural engine, so you kinda have to use it through CoreML. I assume they have some aces up their sleeves for running LLMs efficiently that haven’t told anyone yet.
>I mean what do you make of the threats towards researchers?

source?
> I am worried about the reliability, if you are relying on it giving important information without checking the source (like a flight) than that could lead to some bad situations.

I am worried at the infinite ability of teenagers to hack around the guardrails and generate some probably not safe for school images for the next 2 years while apple figures out how to get them under control.
But HomePod isn’t powerful enough, all the processing would likely have to be online. They’ll fix it but with future models only
It also talks about "straight lines on a graph"...and promptly proceeds to illustrate this concept using a graph with a logarithmic scale.

Combined with the author's evident belief that facilely restating the concept of hard-takeoff singularity (as "AI can replace an machine learning engineer by...") suffices to change the nature of the basic claim he's making, I didn't see any pressing need to read further. Singularitarian sophistry is hardly novel in 2024, and at this late date retains no meaningful capacity even to entertain.
That's not surprising at all. People expect their preferred candidate to set policies that benefit them, so their sentiment rises.
It's almost as if this isn't so much based in actual security concerns, and is rather just another episode in Elon's personal vendetta against OpenAI. (He used to be a board member and supposedly attempted to take more control of it in 2018, which he ultimately failed at.)
The wikipedia definition is directly equivalent to #1. Try rewriting it with f(a, b) = a ⋅ b.

That's not to say #3 and #1 are unrelated, though.
sure: hand-held household application is different to indiscriminate spraying from a pumped tank on the back of a truck
A lot of this sounds like Apple has been 10-20 years behind the state of the art and now wants to tell you that they partially caught up. Verifiable hardware roots of trust and end-to-end software supply chain integrity are things that have existed for a while. The interesting part doesn't come until the end where they promise to publish system images for inspection.
“We utilize adapters, small neural network modules that can be plugged into various layers of the pre-trained model, to fine-tune our models for specific tasks.”

This is huuuuge. I don’t see announcement of 3rd party training support yet, but I imagine/hope it’s planned.

One of the hard things about local+private ML is I don’t want every app I download to need GBs of weights, and don’t want a delay when I open a new app and all the memory swap happens. As an app developer I want the best model that runs on each HW model, not one lowest common denominator model for slowest HW I support. Apple has the chance to make this smooth: great models tuned to each chip, adapters for each use case, new use cases only have a few MB of weights (for a set of current base models), and base models can get better over time (new HW and improved models). Basically app thinning for models.

Even if the base models aren’t SOTA to start, the developer experience is great and they can iterate.

Server side is so much easier, but look forward to local+private taking over for a lot of use cases.
The WM being tiling-dominant doesn’t really make sense if one only ever tiles the odd window every now and then. In that situation it makes more sense to use a floating-dominant WM with light tiling features (like that of Windows, most major Linux DEs, and now macOS).
Humans need a world where being lazy causes their standard of living to deteriorate in a very noticable way, where working hard causes their standard of living to improve, and where being stupid hurts.

If someone does nothing else, they should cook their own food. The rewards and punishments are easy to understand. Maybe the most critical part is that a lack of thinking leads to a burn that hurts. Stupid should hurt, otherwise we get teenagers who answer every question with their favorite one-digit number. What is one plus one? Eight. Who is President of the United State? Eight.
They’ve gone with a single 3B model and several “adapters” for each use case. One adapter is good at summarising while another good a generating message replies.
Eye Miniatures (ca. 1790–1810)
Young people already seem bothered by how pristine/flawless modern photography looks and seem increasingly obsessed with using film cameras/camcorders to be more authentic or whatever pleasing attribute they find in that media. I think they'll respond with more misspellings and sloppier writing to appear more authentic
On one hand, I quite agree with you.

On the other hand: how does one determine who is rational? Once again, you're back to opinion/consensus.
You just have a rule that says block everything except crawlers: A, B, C.

Also the AppleBot was known about before it appeared in Siri.
That's a slave, not a poor person. Slaves were not cheap, in fact they were often expensive. They could also carry things, very helpful when trying to save your other valuables.

Leaving a slave behind would be very strange I think.

I didn't see this in the article. Did I miss it?
LoRA stands for "Low Rank Adaptation" btw.
This integration is way more limited and frictioned. Whereas with search Apple's fully outsourced and queries go straight to your 3rd-party default, Siri escalates to GPT only for certain queries and with one-off permissions. They seem to be calculating that their cross-app context, custom silicon, and privacy branding give them a still-worthwhile shot at winning the Assistant War. I think this is reasonable, especially if open source AI continues to keep pace with the frontier.
Which headline did you read?

It clearly says devices and unless users are suddenly devices I'm not sure how it could be interpreted as such
Previous discussion:

Elsevier embeds a hash in the PDF metadata that is unique for each download (twitter.com/json_dirs) 343 points by sohkamyung on Jan 26, 2022

https://news.ycombinator.com/item?id=30082138
Maybe it’s too new for them to have had time to include it in their studies?
Socially and politically I don't see much opposition. Nobody in Congress is getting mad about paying for Oracle and nobody protesting in the street even knows what their product is. And realistically, that's probably just how Oracle likes it. The less you know about them the better, their job is twisting the arm of your favorite business and little else.

At least in the field of software, Oracle probably considers the proliferation of free software an enemy. But even then, Oracle mastered the art of obfuscating open interfaces and charging people money for support contracts. It's hard to choose any one thing that kills Oracle, but high-quality free software probably goes a long way towards forcing them to change.

> Or why is that a bad omen?

Oracle is a do-nothing company in the most literal sense. You can only have so many of them around before capitalism as a whole collapses under the weight of it's own incompetence.
Ideally stakeholder capitalism. Bad omen because otherwise people will just discard capitalism altogether.
Considering how unreliable Google is long-term, most certainly.

Their tendency to maliciously comply with regulation will certainly mean that at some point they'll ask for your (child's) ID and close the account because some rule being violated that didn't even exist back then. Or some utter bullshit similar to that.
Okay, but if you're talking about the social security and Medicare portions then that... only explains those portions, no? The comment above made it seem like it's talking about all income tax, which wouldn't make sense.
3.5B per weight with no quality loss is state of the art - that's an awesome optimization result (a mix of 2b and 4b weights).
"execute" and "well" in the same sentence when referring to Azure is a bit weird to see.
Firefox on Linux Mint. Maybe it only impacts my system, or you were in a tab with no history?
I'm genuinely curious: Why do companies use Oracle JDKs? Is there value that they provide to enterprises over the FOSS JDKs, or is it just a default and/or a mistake because of confusing naming?
The EU is doing no such thing.

iMessage was explicitly determined to be out of scope of the DMA [1], simply because there isn't a meaninful user base in Europe (as is the case in almost the entire world except for the US).

[1] https://www.theverge.com/2024/2/13/23990679/apple-imessage-e...
Causal Inference in the Social Sciences
Your curiosity might be sated by clicking one of those buttons on the navbar <.<
There are also release notes: https://developer.apple.com/documentation/xcode-release-note...
I personally disagree but you make fair points.

Scale: Many companies (e.g. Google, Bing) have been scraping at scale for decades without issue. Why does scale become an issue when an LLM is thrown into the mix?

Informed consent: I’m not sure I fully understand this point, but I’d say most people posting content on the public internet are generally aware that people and bots might view it. I guess you think it’s different when the data is used for an LLM? But why?

Data usage: Same question as above.

I just don’t see how ingestion into an LLM is fundamentally different than the existing scraping processes that the internet is built on.
I have to watch it, I didn't know the characters were so romantically involved.
He might have someone (or something) who reads and summarizes HN, so he can keep a finger on the pulse.
But Apple knows that there are many reasons why a user who may choose Apple where they make decisions for their dollars, is also a user who is stuck in other ecosystems in other context.

Of course, I'm talking about, for example, work environments where you may be stuck with a Windows PC, or have to use a corporate-owned Android device for your phone...
It's interesting to see Apple essentially throw in the towel on on-device compute. I fully expected them to announce a stupendous custom AI processor that would do state of the art LLMs entirely local. Very curious if they are seeing this as a temporary concession or if they are making a fundamental strategic shift here.

The problem is, regardless how hard they try, I just don't believe their statements on their private AI cloud. Primarily because it's not under their control. If governments or courts want that data they are a stroke of the pen away from getting it. Apple just can't change that - which is why it is surprising for me to see them give up on local device computing.
And my colleagues laugh at me for using Apple provided vim with no extensions for everything…
Ask HN: What tools do you use to alert users?
I'm curious what tools or services you use to alert end-users of something very important that's happening, for instance, a partial outage, a change in your T's & C's or policies, an upcoming deadline for user action, a scheduled maintenance, a temporarily disabled feature (e.g. experienced too much load), etc. Do you have a tool that enables this kind of thing without deploying new code every time it comes up?
You can solve that easily with the free rectangle app today.
My thoughts exactly. I have a NAS that's locked down locally. It has a Documents folder that has folders for each year. Within those are folders of specific events, dated and named, with photos, documents, and videos of memories. It's easy for my family to browse and contribute to. No online service or accounts required, and backup is as easy as burning it all to a DVD or Blu-Ray
There are already a lot of options for running LLMs with open weights artifacts, trained with a variety of sources. The real question isn’t which ideas they have. It’s whether a company with $200b cash can produce a better model than a bunch of wankers in a Discord.
I'd guess Broadcom, but I'm only aware of the VMware issue. Any of their other product lines get hit? With Oracle, you know it's just a matter of time.
2019: LastPass leaks credentials from previous site. https://bugs.chromium.org/p/project-zero/issues/detail?id=19...

2017: Design flaws in LastPass two factor authentication. http://www.martinvigo.com/design-flaws-lastpass-2fa-implemen...

2016: More LastPass security vulnerabilities. https://palant.de/2016/09/16/more-last-pass-security-vulnera...

2015: Even the LastPass will be stolen. http://www.martinvigo.com/even-the-lastpass-will-be-stolen-d...
Agreed! I'm happy to not have to hear about them anymore.
I find it odd that now that this video is out, all of these moves will be executed and it will be impossible to know for sure anymore.
I think it's a shame too, but I blame Google at least as much as Apple for pushing this ridiculous standard in the first place.

As if there was any need to increase the lock-in to phone numbers and mobile carriers for communication and identification any more...
I think the root problem is that a lot of people want books to tell them how to think. I think that's why I hate things like Oprah book clubs, complete with quizzes to make sure you think the right things now.

My best reading experiences involve arguing with the book. And talking about those books and my disagreements with them has been useful, too.

Orthogonally, all humans tend to overuse new knowledge/skills. That's part of how humans learn. We try to find out how far the use stretches and in what ways we can apply our new toys! I would expect any successful book on practices to be seen as overused.
The irony of "do it for the exposure" is that everyone who actually wants to pay you in exposure isn't actually going to do that, either because they aren't popular enough to measurably expose you, or because they're so popular that they don't want to share the limelight.

AI is a unique third case in which we have billions of creators and no idea who contributed what parts of the model or any specific outputs. So we can't pay in exposure, aside from a brutally long list of unwilling data subjects that will never be read by anyone. Some of the training data is being regurgitated unmodified and needs to be attributed in full, some of it is just informing a general understanding of grammar and is probably being used under fair use, and yet more might not even wind up having any appreciable effect on the model weights.

None of this matters because nobody actually agreed to be paid in exposure, nor was it ever in any AI company's intent - including Apple - to pay in exposure. Data is free purely because it would be extraordinarily inconvenient if anyone in this space had to pay.

And, for the record, this applies far wider than just image or text generators. Apple is almost surely not the worst offender in the space. For example: all that facial recognition tech your local law enforcement uses? That was trained on your Facebook photos.
Love is proportional to cost?!?!?!?! Holy shit thats fucking weird, it costs me 0 to love my mom, i love my mom lol, that doesn't change that fact. Broke mother that can't afford to take care of her kid doesn't not love the kid or vise versa.

If your calculating "cost" for if someone is showing nuts, i feel sad for you lol, if my wife buys or makes me something or just says "i love you" they are equivalent, I don't give a shit if she "does something for me that costs her something" she loves me she thought of me.

The thought is what matters, if you put extra worth on people struggling to do something meaning more love... thats... ya
Any kind of media production involves a lot of grunt work. In general, you don't get anywhere in the arts without putting in a lot of hours on that sort of thing, during which you still need to eat and pay rent. Critiquing the production process over which they have no control to justify paying subpar wages is pretty mean-spirited.
Fair enough, yep, that's me.

I do wonder how my “part time” output would compare the expectations from full-time output. During the periods I've worked more conventional jobs, the vast majority of the value I brought was during the oddball times/contributions. Surely there must be some way I can be exploited (in a good way) without implicitly bundling ancillary seat warming into the contract. :D
Do you have analogous search terms for Microsoft, Alphabet, Google, and Amazon's approaches?

Your comment makes me curious on how guarantee-to-guarantee looks (and associated architectures).
I already read SPQR, by Mary Beard, on the history of Rome's kingdom, Republic and early empire.

I liked it so much that now I am in the middle of Emperor of Rome.

Does anyone here have any good recommendations on Rome's history?
> and not deal with the Photos app

What’s the point of this qualifier?

Why not use the current, up-to-date default app for photo import that has been there since 2002 to literally serve this purpose? Yes it has a lot of extra functionality, but that doesn’t mean you have to use it. You can get originals from Photos and be done with it…
Does anyone actually use Xcode as their daily driver if their full time job is not macOS, iOS, etc developer?
Reading about aphantasia was a trip. I couldn't even understand it at first, so curious if this condition fit me I looked up the test for diagnosing aphantasia which started describe scenes of a beach, now with a sunset, and so on, to which I was hopelessly lost because the responses seemed to suggest I should be "seeing" something. I could "imagine" a beach, and think about how wet sand feels and what waves sound like; but of course I couldn't "see" it, it was just imaginary. I had to read an essay from someone else with this condition discovering that other people do "see" things before I had my little spit-take moment.

I think I _used_ to be able to visualize things. I remember feeling frustrated when I was younger and did a more art because I could never imagine the same thing twice when I wanted to draw it. Every time I tried to think about about it, it would have a different pose or texture or orientation. But even then I think I just had a different "level" of aphantasia. I could never figure out how to use color. I kept to pens and lead pencils for art and couldn't get into painting. Even now, staring at a wall and thinking about repainting it, I cannot visualize it with any other color, much less two or three colors for trim and accents.

One of the advantages, perhaps, is that I don't need to close my eyes to imagine things. There's no point, there's nothing there. I may let my focus drift so I don't get distracted by shiny or moving things. But I can stare at a wall, or go for a hike or a run and just let my mind go wild.

That said, I do enjoy fiction, though I never really get "into" anything in particular. In light of this discovery, perhaps it is because I'm not really able to "visualize" scenes to recreate memorable moments, I can only really enjoy it in the moment and maybe recall a few quotes and descriptions, which are harder to get excited about.
Fair. I don't believe the company that bribed the head of the EPA gives a sh*t about "science" or the health of their customers. This affects my view of how safe their product is.

This is the real world, not a philosophical sandbox. I understand that a person's character should be ontologically castrated from their argument in a philosophical sandbox. But 99% of the time that a company does evil shit like this in the real world, they have very strong reason to do so. It's increasingly likely that Monsanto/Bayer don't want the scientific process to run its natural course. They feel the need to intervene. Why?
Phi-3-Mini, which is in the benchmarks, was released after Llama3 8b
The evidence for alcohol consumption causing cancer is actually pretty strong:

https://www.cancer.gov/about-cancer/causes-prevention/risk/a...
Compliance with what? No regulatory body or law has forced Apple to do this (yet).
Don't worry, you're not going to get: universal basic income, free housing and universal healthcare for a loooong time, if ever. Countries that have close to this (nordics?) don't have more problems they have less. In Australia we have the healthcare but it's with a big asterix.

The closest we have to this are our dogs and mine certainly dosen't eat all he wants/go on endless walks.
The type of immigration the US has experienced has changed a fair bit over those 300 years, let alone the last 50 years.
I love that they use machinelearning.apple.com not ai.apple.com
You go into "HOW" you write a poem for your daughter? are you also explaining and rubbing in how hard you work to get her food on the table? Like wow, the amount of people here that want their "effort" calculated into the "love" cost of something is insane.

I was brought up that the thought matters, if i think to call my mom she appreciates it i don't need to make some excess effort to show her i love her or show her more love.

You read your daughter a book off your phone you got for free, is that somehow worth less than a book you went to barnes and noble and paid full price for?
Amazing read! These ROVs should be massed produced and distributed to the police everywhere..
Another count against statistically analysing SAN strings to death is some of the rules of that format. There's a lot of weight given to disambiguation in this video. In SAN you must not (if you're following the rules, some software including ChessBase doesn't follow the rules) disambiguate if one of the pieces is pinned to the king. So 1.d4 e6 2.c4 Bb4+ 3.Nbd2 Nf6 4.Nf3. Not 4.Ngf3.

This muddies the waters I think, these doubly disambiguated moves he lovingly isolated would be recorded differently if a marginally involved piece was pinned.

More significantly, there's no SAN notation for stalemate, or en-passant (or many other things of course) of great chess significance, perhaps more worthy of analysis.

The video was still a great technical achievement, and very entertaining for a chess nerd like myself.
Sounds like hell. When I feel a sales or business person trying to manipulate me something shuts off in my brain and I just stop talking to them. Maybe the difference is just the skill of the manipulator, but I infinitely prefer it when people are talking candidly about the situation without mind games.