skysight-inc/HackerNews huggingface dataset:
I mean, there are plenty - e.g. mimicking (say, the mother's face's emotions), which are precursors to learning more advanced "features". Also, even walking has many aspects pretrained (I assume it's mostly a musculoskeletal limitation that we can't walk immediately), humans are just born "prematurely" due to our relatively huge heads. Newborn horses can walk immediately without learning.

But there are plenty of non-learned control/movement/sensing in utero that are "pretrained".
Yes, I agree. I essentially conveyed the same message in my email comment to them. Feel free to do the same
Apple literally has Enterprise specific APis for it https://developer.apple.com/videos/play/wwdc2024/10139

Also in terms of press releases, a quick google search shows these two

https://www.apple.com/newsroom/2024/04/apple-vision-pro-brin...

https://www.apple.com/newsroom/2024/03/apple-vision-pro-unlo...

Just because Apples consumer marketing pages don’t target enterprise, doesn’t mean they don’t target enterprise as a product. See the Mac Pro webpage that also doesn’t mention enterprise contacts https://www.apple.com/mac-pro/ but it’s clearly not targeted for just consumers either.
Dennett was talking about natural intelligence. I think you're just underestimating the potential of a sufficiently big bag of tricks.

sharing knowledge isn't a human thing - chimps learn from each other. bees teach each other the direction and distance to a new source of food.

we just happen to push the envelope a lot further and managed to kickstart runaway mimetic evolution.
TensorFlow organizes computations as a DAG: nodes represent operations, and edges define their dependencies. This structure enforces order, ensures reproducibility, and provides transparency. Operations only run when their dependencies are resolved, and the graph guarantees consistent outputs from the same inputs.
Now think about notebooks. Cells are like operations in a graph, but without enforced dependencies or execution order. Hidden dependencies and unpredictable execution often lead to messy, unreliable workflows.
What if we applied DAG principles to notebooks? Cells could become nodes in a graph, with explicit dependencies and predictable execution. A preprocessing cell, for instance, would depend on the data-loading cell. Change one, and downstream cells automatically update.
Yeah @rlupi, America is far too poor to afford basic living conditions. /s

But seriously, no US state is as poor as Italy, in GDP per capita terms (Mississippi 50K vs Italy 40K).
> button hx-get="/clicked"

that doesn't look like a complete subroutine to me.
Kannel: Open-Source WAP and SMS Gateway
Yeah but at some point the life of the party became boring because it was all day every day.
So we just hung out and smoked weed and played SNES, PSX on a daily basis and went to clubs on weekends and cafés from wed/thur onwards.

I met so many people only through smoking weed. And because weed is such a laid back drug, we were all laid back and friendly with each other.

What I learned to hate over the years was that daily routine of finding something to smoke.
We had our dealers we phoned up or sometimes we would deal ourselves to finance our consumption.

Dealing drugs was another level though. Hostilities arose. Some people claimed turf and threatened others with violence, those were "miraculously" found by the police and landed in jail.
Also dealers that scammed others.
The scene had a way to police themselves.
Those were the good years.

Later the quality became worse and the quantity as well.
It was no longer... how should I put it,... fun and games but people discovered it as a source of making profit.
Even friends or people you considered friends would try to scam you and you weren't any different.
That time began approximately when the Afghanistan wars began and the CIA was cut off from the cannabis sources.

It was like this, we would smoke weed in the summer and black afghan in winter. The black afghan fell off.
What remained was green hash from the turks and weed, which was stretched with hairspray and silica sand.

I quit doing ganja, also because I hated being stoned all day every day and having to do the daily finding weed routine. I was so tired of it, also "what am I doing with my life".

I lost most "friends", I had to, to not be exposed to this crap on a daily basis. I wanted to get somewhere in life not just consume weed all day and be a loser who got nothing done. Better late than never.

I very rarely do resin nowadays, not by smoking but orally, and it's like once a year or every 2 years.
Cannabis is definitely good for your health, if not overdone.
Will Truscott on his path into Data Science
But don't you see? The walled garden makes them feel safe from all the bad people out there. It's like locking yourself in with Rorschach. Yeah, the others aren't gonna get you, but he will.
Fair enough. I’ll setup a demo account, too.
Interesting how I could instantly tell that this was written by AI. CharGPT has a very distinguishable style and reasoning.
A bit early for a every year claim not to mention what all these AI is used for.

In some parts of the internet it’s you hardly find real content only AI spam.

It will get worse the cheaper it gets.

Think of email spam.
believe it or not, there are different kinds of music for different kinds of moods and levels of listening to it, levels of attention, engagement, and so on. some songs will be just a bit too engaging to listen to for some things, and some more low key songs might be a better fit.

people settle for "mediocrity" all the time. be it just what you deem "mediocre" (out of cluelessness and/or disrespect), if it's not a "generic idea of a song with lyrics and all" and just some mild electronica, or if it is really just kind of mediocre, which is a good fit in some situations nonetheless, and does actually have wider appeal due to its mediocrity.

"low effort" may overlap, in perception or in how things are actually made, with some simpler, subtler, not overproduced music. it really isn't a bad thing at all, so it's bizarre to see it get shaded so much.
Arm had already done that.

The Nuvia ALA (architecture license agreement) specified much higher royalties, i.e. a much bigger cut for Arm, than the Qualcomm ALA.

The official reason for the conflict is that Qualcomm says that the Qualcomm ALA is applicable for anything made by Qualcomm, while Arm says that for any Qualcomm product that includes a trace of something designed at the former Nuvia company the Nuvia ALA must be applied.

The real reason of the conflict is that Qualcomm is replacing the CPU cores designed by Arm with CPU cores designed by the former Nuvia team in all their products. Had this not happened, Arm would have received a much greater revenue as a result of Nuvia being bought by Qualcomm, even when applying the Qualcomm ALA.
These changes aren't always easy to spot. I live in a city that acquired a significant Ukrainian population over the last two years. Whenever I see a group of kids that biked to an arbitrary location and play, they turn out to be young Ukrainians. They do the exact thing local kids would do 20 years ago.
Benchmark fraud is not a novel concept. Outside of LLMs for example smartphone manufacturers detect benchmarks and disable or reduce CPU throttling: https://www.theregister.com/2019/09/30/samsung_benchmarking_...
Haven’t experienced Shanghai personally but ten years ago in Xi’an and Chengdu, yes, this sometimes was the only way to cross roads. In Jakarta and Bangkok, however, this always is the only way. Compared to those cities, however, the traffic in Chinese cities I’ve seen was always very organized.

In Iranian cities, however …
We are nowhere near AGI.
Climate Recap 2024
AI in 2025: Building Blocks Firmly in Place
Do you have any idea what the price of that thing was, back in the days?!
AFAICT this is the same in the EU AI Act[0] which has been approved by the EU Council. See page ~95 (recital 105... i think these are called "recitals" as i've seen that term in another site with the same text but i wanted to confirm from EU's own site that the final text is the same), where it mentions:

> General-purpose AI models, in particular large generative AI models, capable of generating text, images, and other content, present unique innovation opportunities but also challenges to artists, authors, and other creators and the way their creative content is created, distributed, used and consumed. The development and training of such models require access to vast amounts of text, images, videos, and other data. Text and data mining techniques may be used extensively in this context for the retrieval and analysis of such content, which may be protected by copyright and related rights.

> Any use of copyright protected content requires the authorisation of the rightsholder concerned unless relevant copyright exceptions and limitations apply.

> Directive (EU) 2019/790 introduced exceptions and limitations allowing reproductions and extractions of works or other subject matter, for the purpose of text and data mining, under certain conditions. Under these rules, rightsholders may choose to reserve their rights over their works or other subject matter to prevent text and data mining, unless this is done for the purposes of scientific research. Where the rights to opt out has been expressly reserved in an appropriate manner, providers of general-purpose AI models need to obtain an authorisation from rightsholders if they want to carry out text and data mining over such works.

[0] https://data.consilium.europa.eu/doc/document/PE-24-2024-INI...
I don't know, that seems like a fundamental limitation. LLMs don't have any ability to do reflection on their own knowledge/abilities.
How much does AWS charge for compute?

If it can be spun up with Terraform, I bet you they could.
Likely yes. Every smart person is capable of being a good driver, so long as you give them enough training and incentive. Zero smart people are born being able to drive.
I can't reply to the flagged comment, but I can reply to myself.

There is so much more in humanity than our ability to procreate — every living organism does that, that's not special, it doesn't make us human.

What makes us human, is our ability to create, to pour our heart and very essence into our art, the desire to reach perfection in our craft. We create knowledge, we explore the world, and are in the process of discovering its true nature. We kiss and dance and love, we give, and we share.

Having kids doesn't prevent us from enjoying all those things, but having kids is also not a prerequisite for a good and fulfilling life.

Anyone can have children, but not everyone can create good people, and personally, I love my unborn children too much to expose them to this world.
> response time

Imagine you take an extraordinarily smart person, and put them on a fast spaceship that causes time dilation.

Does that mean that they are stupider while in transit, and they regain their intelligence when it slows down?
Yes, I am a landlord and have had multiple awful experiences with them on move in/out. The worst involved them referring my tenant to a debt collector for a totally incorrect bill (issued for a period after which they were not responsible for bills, and for electricity which hadn't been consumed) while we were still trying to get them to correct it. Customer service generally seems to stop responding after the first reply.
We should wait until it's released before we anoint it. It's disheartening to see how we keep repeating the same pattern that gives in to hype over the scientific method.
The server market for Arm-based computers remains negligible.

The number of servers with Arm-based CPUs is growing fast, but they are not sold on the free market, they are produced internally by the big cloud operators.

Only Ampere Computing sells a few Arm-based CPUs, but they have fewer and fewer customers (i.e. mainly Oracle), after almost every big cloud operator has launched their own server CPUs.

So for anyone hoping to enter the market of Arm-based server CPUs the chances of success are extremely small, no matter how good their designs may be.
Nowhere did I say generated. The word I was using is generic.

I presume the artists have been paid a fair wage, but as the article describes, are focusing on derivatives.
It is only legal and ethical when we do it.
The "attrishing" in your comment made me go looking, and Wiktionary [0] says the verb form "attrit(e)" exists and is likely a quite old backformation that has fallen out of common use.

[0] https://en.m.wiktionary.org/wiki/attrit
The improved treatment, and acceptance, of ADHD is certainly one key element here. I hope we continue to support kids if they show symptoms of any psychological disorder.

Here's a 2018 study following kids into adulthood and questioning them on their substance abuse: https://pmc.ncbi.nlm.nih.gov/articles/PMC5985671/

My brother is one of those really bad cases, while I got my diagnosis just recently; never had more than a slight drinking problem which has almost disappeared since the I started taking medication.
CD-ROMs were extremely slow from a modern point of view. The original 1x speed was 150 KB/s, or 1.2 Mbps.

That’s like trying to stream over a 3G mobile network with substantial packet loss, except it’s physically inside your computer.
This argument makes no sense to me. Musicians with small niche audience that rely on word of mourh and such are harmed in which way when Spotify adds slop to slop playlists?

Nobody is forced to listen to slop playlists. I never did, I only listen to albums and playlists that I either curated myself, of that were shared to me by people with similar tastes.

I don't think that people that are fine with slop are the kind of people that niche musicians would appeal to.

If your argument was against the egregious and exploitative way Spotify demonetizes tracks with less than 1k streams, then yes. This is abusive and should be considered illegal. But this mostly benefits large musicians and is detrimental to a long tail of niche ones.
This is a nothing answer. Climate change has been happening for decades. What exactly changed this year that led to this increase.
> I'm going to point out that you responded "Not true."

I could have been clearer, but that was in response to the asserion of "you can't revert".
To your last point, you’re confusing the iPhone 3G and the original iPhone. The original iPhone was the one that had a price drop after launch which included the apology response, not the iPhone 3G.

To the rest of your point, I’m sure Apple is aware that there aren’t a lot of customers at the 3500 dollar mark. They’ve said as much in interviews, but you’d have to attribute a lot of hubris to them to think they thought they’d steal market share from the Quest line.

Again, all reports say they can’t even manufacture enough right now to be more than a blip on the sales chart.

Perhaps your first paragraph bellies your confusion because you claim it’s just a consumption device, and partly that’s because apples marketing focuses on it, because it’s the easiest thing to communicate.

The 3500 price tag is exactly the starting price point of other high end XR headsets that are used in many non-consumption areas. I say starting, because they go up considerably from there (see the Varjo XR prices). That’s the space where it’s not consumption, but work. It’s the same way that a Mac Pro can be used to view Netflix the same way a MacBook Air can, and they have similar capabilities on paper but widely different markets to target.

From all accounts of working with those industries, Apple has eaten that market share. Varjo has stopped being the headset of choice for most of those cases, to the point that even NVIDIA (who were a huge Varjo customer) are doing Vision Pro courses at siggraph and made it the headset they feature for professional work ( https://resources.nvidia.com/en-us-awe-2024/omniverse-apple-... )

Basically, don’t take Apple’s consumer facing marketing as their entire sales pitch. They have completely separate paths for businesses.

None of this is to say that there aren’t areas that Apple has missed on with the headset. There clearly are several, but I don’t think sales strategy is actually one of them. Marketing is perhaps an issue though.
> Killing endangered species is illegal. It does not matter If is "just one" or "just a few" eagles.

Well, yes it actually does, legally at least.
But human stupidity, while itself can be sometimes an unknown unknown with its creativity, is a mostly known unknown.

LLMs fail in entirely novel ways you can't even fathom upfront.
I can't speak for the fish shell project - from my pov, Swift is technically a marketing tool Apple uses to keep developers focused on their platforms. It's a lock-in thing.
Indie developers love to post about it because it gives them engagement but Apple has a poor track record with open-source projects. I wouldn't reach for Swift for anything important.
Given every other iteration has basically just been the same thing but bigger, why should we think this?
I’m part of a team that is currently #1 at the SWEBench-lite benchmark. Interesting times!
You're being pretty harsh, but:

> i think most people have very little conceptualization of their own thinking/cognitive patterns, at least not enough to sensibly extrapolate it onto ai.

Quite true. If you spend a lot of time reading and thinking about the workings of the mind you lose sight of how alien it is to intuition. While in highschool I first read, in New Scientist, the theory that conscious thought lags behind the underlying subconscious processing in the brain. I was shocked that New Scientist would print something so unbelievable. Yet there seemed to be an element of truth to it so I kept thinking about it and slowly changed my assessment.
“Assume the role of an expert in naming things. You know, a… what do they call those people again… there must be a name for it”
The program from that scene was not some crazy invention for the purpose of having an interesting computer scene. It is a real piece of software for silicon graphics workstations called fsn (File System Navigator).

There's a x windows remake of it called fsv: https://fsv.sourceforge.net/

And then there's this even cooler UI which takes this whole idea much further called eagle mode: https://eaglemode.sourceforge.net/
Humans aren't very aware of their limits, either.

Even the Dunning-Kruger effect is, ironically, widely misunderstood by people who are unreasonably confident about their knowledge.
I don't think this is only about efficiency. The model I have here is that this is similar to when we beat chess. Yes, it is impressive that we made progress on a class of problems, but is this class aligned with what the economy or the society needs?

Simple turn-based games such as chess turned out to be too far away from anything practical and chess-engine-like programs were never that useful. It is entirely possible that this will end up in a similar situation. ARC-like pattern matching problems or programming challenges are indeed a respectable challenge for AI, but do we need a program that is able to solve them? How often does something like that come up really? I can see some time-saving in using AI vs StackOverflow in solving some programming challenges, but is there more to this?
Change the question to "highways" then. (at least in most European countries, AFAIK horses are banned from them)
> due to how recommendation algorithms work.

You have to actively accept the recommendations from the algorithm. If the algorithm ia recommending slop, and you are fine with it, actively listening to it, who was harmed?

> I think Spotify deliberately seeding this music into its playlists is a worse abuse of its position as owner of the marketplace.

Nobody is forced to listen to the slop playlists generated by Spotify. Spotify puts them in the front page, but they can be ignored.

If people are listening to those playlists and are satisfied with it, what is the issue?

If the consumption is genuine and not bot activity, I fail to see any wrongdoing on Spotify. If people like listening to slop, who am I to judge?
If you're looking for a lightweight open-source framework designed to handle the patterns mentioned in this article: https://github.com/neuml/txtai

Disclaimer: I'm the author of the framework.
> Er, this I can understand. Every conference paper only presents you with a simplified view of the contributions.

In my group I don't allow hacks. Most other good papers I can think of don't do that. It takes new students a while to get used to not maximizing performance at all costs. And if a hack must exist, then it's explained, not as a hack, but as part of the method.

Don't you hate it when you implement some beautiful idea from a paper only to discover that it hardly bares any relationship to the actual method that works?

> There is no way to describe every corner case within the page limits of a conference paper (specifically, I bet this was submitted to POPL 2025).

You're probably right. But POPL allows for unlimited pages in an attached appendix. They can and should describe the full method. Particularly if they're going to play the game of saying that they formalized this.

> Sadly that is the name of the game in conference publishing. Make a big claim in the title and hope the reviewer does not read the fine print.

It's a form of namespace squatting. Do the worst job possible to claim a title that you couldn't execute on, so that when people figure out that problem, they will be forced to cite your non-working solution. I loathe this approach to publishing.

We should punish people for doing. Reject for lack of honesty and your paper can't be published in related conference for X years.
That's why I included a pastebin link of my original reply that I asked it to summarise - I hate when people comment "here's what ChatGPT thinks on this subject", but hoped people wouldn't mind a lazily-shortened version of my own writing!
There are different kinds of smarts and not every smart person is good at all of them. Specifically, spacial reasoning is important for driving, and if a smart person is good at all kinds of thinking except that one, they're going to find it challenging to be a good driver.
After crying that it was the Russians who meddled in the Romanian presidential ellections, it turns out it was the incumbent parties, PNL and PSD, who were trying to sabotage USR and Lasconi. You couldn't make this up !
Earth at Night in Colour S01E05 touches on this.
The scientific method doesn’t drive stock price (apparently).
No, because intelligence is relative to your local context.
As in importing and paying for it. Europe's economy was in pieces.
We are speaking of users here, not developers.
The window has too nice a view to ruin unfortunately.
I pay about $60 a month to heat a well-insulated apartment in Copenhagen, similar size.

The average for an 80m² apartment is $1100/year.

After the 1970s fuel crises, Denmark invested in district heating and that seems to have paid off.
> My favorite program in DOS was smartdrv.exe.

The downside was, that in case of a crash, you will use some data.
Well put. You ask LLMs about ARC-like challenges and they are able to come up with a list of possible problem formulations even before you show them the input. The models already know that they might expect various object manipulations, symmetry problem, etc. The fact that the solution costs thousands of dollars says to me that the model iterates over many solutions while using this implicit knowledge and feedback it gets from running the program. It is still impressive, but I don't think this is what the ARC prize was supposed to be about.
AI could be different. At least, I'm willing to try to form a coalition.

Besides, AI researchers failed to make anything like a real Chatbot until recently, yet they've been trying since the Eliza days. I'm willing to put in at least as much effort as them.
https://artemis.jamesg.blog/app

Really like this.
Nimbo: A Nimble Offline Kanban Board