skysight-inc/HackerNews huggingface dataset:
The Image Playground demos contrast pretty strongly, in a bad way, with how image generation startups like Stability typically emphasize scifi landscapes and macro images in their marketing material. We're more open to strange color palettes and overly glossy looking surfaces in those types of images, so they're a good fit for current models that can run on smaller GPUs. Apple's examples of real people and places, on the other hand, look like they're deep in uncanny valley and I'm shocked anyone wanted them in a press release. More than any other feature announced today, that felt like they just got on the hype bandwagon and shipped image generation features to please AI-hungry investors, not create anything real people want to use.
In Sweden doctors have a fair bit of automation/systems around them, the sad part is that much of it has been co-opted for more stringent records keeping,etc that's just making doctors unhappy and ballooning administration costs instead of focusing on bringing better care for patients.

In essense, we've saved 50 lives a year by avoiding certain mistakes with better record keeping and killed 5000 since the medical queues are too long due to busy doctors so people don't bother getting help in time.
Indeed, I said "saute" instead of "carmelize", and that's an error. But I assure you I've been told some whoppers about how long it's going to take for those onions to brown even a little bit.

Previously: https://news.ycombinator.com/item?id=36038796

E.g. ex TFA:

> Add the onions to the skillet and increase the heat to medium-high. Cook until they begin to turn dark brown and somewhat soft, about 5 minutes. Add the oil and a pinch of the fine sea salt; continue cooking until the onions are soft and caramelized, about 5 minutes longer.
I always thought it's some Nintendo like thing for exchanging emojis and little computer people :)
BTW there is an entire industry popping up around exactly this sort of use case, it's called 'confidential computing' and CNCF have some software in the works (confidential containers iirc). I'm pretty excited to see what risc-v is going to bring to the party enclave wise.
Ask HN: What's Missing in Social Media?
hi hn!

I've worked at some social companies in the past (IG and Snap) and I'm curious as to what the next big social media platform might look like.

It seems to me that social media has already gone through several phases:

- Text-based platforms like early forums and blogs.

- Image-centric networks like Instagram and Snapchat.

- Video-focused apps like TikTok and YouTube (Shorts).

- Community-driven spaces like Reddit and Discord.

Each iteration brought its own unique spin on connecting people and fostering communities. I'm curious as to what the hn community thinks what the next form of interaction would be, or what form of interaction do they feel is missing in their life?

I personally feel that we're missing a form of "authentic sharing". There's a couple of platforms / apps that are trying to solve this problem (IG Stories, BeReal, Poparazzi - before it shut down). People want to connect with others in an authentic, un-filtered, un-staged way and I don't think there's a platform that encourages / enforces that.

But I'm also interested in what you guys think!
I'm less pessimistic. I'm convinced that technology will at least considerably decrease the amount of trouble caused by climate change. There are a lot of options, and we will converge to a 'golden' combination of strategies to deal with the effects of climate change. Today we can make huge rockets that can land themselves vertically. What will tomorrow bring?
Okay. This has a lot more depth than it initially appeared. What a great twist on a simple game!
iCloud synchronizes all my stuff between all my devices (windows too) now. They've always been privacy-forward. I could completely see a container that spins up and AI's my stuff in their datacenter, that they don't have visibility into. The impact of them getting it wrong is pretty significant.
Well, yes, but you had Solaris 2 in the first place or you didn't need either Sun's compiler or gcc at all.
They're extremely pessimistic, 3 years is 200% of how long it took ChatGPT 3.5.

Llama 8B is ChatGPT 3.5 (18 months before L3), running on all new iPhones released since October 2022, (19 months before L3). That includes multimodal variants (built outside Facebook).
In most cases the one using most power in a modern smartphone is the display.

And knowing Apple, the RAG-stuff will be done overnight when the phone is charging, not during use.
You're not wrong, but it's still a nominally usable lower bound for the actual power draw of the chip, and a reasonable proxy for how much heat you need to dissipate via your cooling solution.
The description of that feature in the keynote was literally "we will make this feature available for external experts to audit", so I'm currently optimistic they will actually do that.
> People will gradually learn and discover anf the cost of keeping a model updated and running won't drastically reduce so we'll most likely see dust settling down.

As mentioned elsewhere, 3 to 5 years is some 3x to 5x as long as GPT-4 exists; some 2-3x as long as ChatGPT exists and LLMs suddenly graduated from being obscure research projects to general-purpose tools. Do you really believe the capability limit has already been hit?

Not to mention, there's lots of money and reputation invested in searching for alternatives to current transformer architecture. Are you certain that within the next year or two, one or more of the alternatives won't pan out, bringing e.g. linear scaling in place of quadratic, without loss of capabilities?
Well, I cannot help your inclination to take Eliezer's side, but I would like to point out all the anti-physics stuff in the original article:

1) Eliezer makes up a term ("diamondoid bacteria"), and the current scientific understanding is that we have no methods to perform nanoscale manipulations of any material that would be understood as being "diamondoid". Someone else already went through the pains of comparing the fiction to current understanding of science here: https://forum.effectivealtruism.org/posts/g72tGduJMDhqR86Ns/...
The TL;DR is: There won't be anything like a Drexler nanobot thing on any realistic time horizon, if ever.

2) The described scenario involves an AI - reasoning purely from human input, without access to any empirical experiments - succeeding at building a "nanofactory" which then builds the bacteria. The author of the above article phrases it very well:

"First, forget the dream of advances in theory rendering experiment unnecessary. As I explained in a previous post, the quantum equations are just way too hard to solve with 100% accuracy, so approximations are necessary, which themselves do not scale particularly well."

All our theoretical understanding of everything is often a poor abstraction of reality, and it is common for even our highest-quality models for computational fluid dynamics to diverge drastically from real-world experiments. There's simply no way an AI will "reason/simulate itself through a bunch of experiments". That's not how our world and our physics work, and largely what I mean when I accuse the x-Risk crowd of being "anti-physics".

The theory of building a ballpoint pen tip is very simple. The actual execution is fiendishly hard, and only a few industrialized nations have mastered it.

My experience with Eliezer's writings, and a large number of x-risk adjacent people, is that they have no experience with real-world engineering or any experimental science. They simply haven't internalized that the map isn't the territory, that the real world is messy and fundamentally unpredictable. The intellectual feats they ascribe to an AI aren't far off from the AI simply finding a shortcut to calculating the trajectory of all atoms in the atmosphere and then convincing a butterfly to flap his wing at the precisely right time that in an enormous game of billards is unleashed to build a global Maxwell's demon which incinerates one half of the world. Conceivable, if you neglect that (a) you can't gather the required information and (b) you can't perform the compute required.

Anyhow, my suspicion is that if the original nanobot madness didn't convince you, nothing I can write will either :-) so I think I'll excuse myself from this discussion.
I like a family doctor who only takes calls. Good doctors are responsive or have responsive staff. One time a doctor was locked into booking and communicating via this One Medical app that's a total piece of shit and just made things harder, so I went elsewhere. If someone makes a truly better solution, AI or not, doctors will use it without being forced.

And government offices don't even care to begin with, you have no other choice.
Pilot Wave and Objective Collapse are physical theories, Copenhagen is an administrative agreement, Many Worlds is pop-sci religion.
(Which is very very scary - at the very least: Law, medicine ...

... how many (and to what extent) are today's students/trainees and future practicing pros already passing classes that they would have otherwise failed, undetected -for example- and undermining future professional services which we will all avail ourselves of?
> "What state am I in, and how far am I to the border to the state I'm going to cross next, and can I pump my own gas on each state I'm driving through?"

What kind of trip was this where these were pertinent questions? Couldn't you have just rephrased most of them?

"What is my current location?"

"Show maps."

"Which states don't allow you to pump your own gas?"
Additionally, the size of PE cannot only be measured in the inflows and outflows. It has to take into consideration the value of the businesses being held, which it seems this article completely ignores.
The information in 1PW is the most important information I have. I have a Yubikey because of that.
> one wonders that if software eng are ultimately artists

I find treating software engineering like art is a very dangerous approach and bound for failure.

A lot of software engineering comes down to being comfortable with code and how the computer works. That has little to nothing to do with art.
I know it's not ideal, but if you have iCloud disabled in Photos.app, use that to download photos from your phone to Photos.app, then in Photos.app, select all, and export to your chosen location, then delete from Photos.app. I know it's a few more steps, but this might make it easier than selecting 10+ files to AirDrop. There might be a way to automate that with the shortcuts app. I haven't looked yet. I hope this doesn't come across as "you're holding it wrong", that wasn't my intent.
Unfortunately no, not after I read it at least. But I wish it was there a year earlier or so - would prefer it to reading ARM's SIMD&FP documentation. It mostly helped me better understand ARM's strided simd loads and stores (scatter/gather) and shuffles, to verify previous data from https://dougallj.github.io/applecpu/firestorm.html, improve overall mental model and was just pleasant to browse through with all the visualizations.
Are you worried if everyone blocks revenue generating activities they will stop making the content you like?
> It saves all kind of files, it doesn't care the extension or mime types of files, it tries to save them all.

That’s awesome to know, I will give it a try. One website I remember I tried to download and has all sorts of animations with .riv extension and it didn’t work well with HTTrack, will try it with this soon, thanks for sharing it!
If we find out in the next 12 months that OpenAI has been storing requests from Apple/Siri AND Apple doesn't come down on them with a 10 ton lawyer hammer, I'll pay you $500.

Can you match it the other way around? :)
I am quite disappointed that 14 pro is not supported. So much power, but they decided to not support any of the older chips.
levins work is great, except that afaik it hasnt been reproduced outside of his lab
I spent 2 years building my own game engine
I hope at some point they start selling a beefy Mac mini variant that looks like a HomePod to work as an actual private AI server for the whole family.
Not a physicist but my guess is that Copenhagen was a "mental trick" (not in a bad sense) that got people off of worrying too much about questions we still don't have answers to e.g "what is a measurement", and got people to "shut up and calculate", which yielded results. Hence it's success
MapLibre Tiles
Their desires may or may not be rational in this but clearly Apple isn’t going to allow it. They have a history of doing their own thing.
I think the article is making a comment on building a single framework that can enable anyone to solve an arbitrary robotics problem.

The thing about that statement is it's mixing two different meanings of "framework". One thing framework means is a conventional library or API in a conventional programming language. The other thing framework means is a broad, conceptual that can be reused - in this case, in many robotics problems.

Using the first meaning of framework, sure, maybe it's not useful. But using the second meaning of framework, I think it's very useful to keep looking for such a thing and getting more people involved might help.
Now OpenAI has massive contracts with Microsoft and Apple. Two years ago we basically hadn't even raised an eyebrow at OpenAI.
I'm doing way more than confusing things - all this stuff is mainly new to me!

I'll try to understand your comment over the next few days

BUT what do you think about that weird business with the s scaling factor that supposedly rescales the Delta function so that it takes a finite value at 0? I can't yet prove what kind of animal s is supposed to be. It's like some kind of funky infinitesimal.
It's an interesting game, but the AI is making really bad plays.
This was exactly what I was thinking as well. Let's see!
I love Apple products but I doubt this will become good.
no it isn’t
I can't wait until making tools for users will be the centerpiece of device development again instead of this corporate crap enforcement about half cooked whatevers acting on our behalf pretending to be a different us (I intentionally avoid the word intelligence, it is the mockery of the word that is going on all around).

Who will trust in anything coming from anyone through electonic channels? Not me. Sooner start to talk to a teddy bear or a yellow rubber duck.

This is a bad and dangerous tendency that corporate biggheads piss up with glares and fanfares so the crowd get willing to drink with amaze.

The whole text is full of corporate bullsh*t, hollow and cloudy stock phrases from a thick pipe - instead of facts or data - a generative cloud computing server room could pour at us without a shread of thoughts.
If no one is supporting them they won't exist.
Apple brings ChatGPT to its apps, including Siri
Apple is starting to anticipate a higher RAM need in their M4+ silicon chips: There are rumors they are including more ram than specified in their entry level computers.

https://forums.macrumors.com/threads/do-m4-ipad-pros-with-8g...

One reason could be future AI models.

I'm not sure if this has been verified independently, but interesting nonetheless and would make sense in an AI era.
Believe me, the publisher still hasn't to reconcile the work and tweak it when it comes in. Have you ever tried to edit a book from N authors? Even if they're using the exact same style file, there are always issues.

But again, go start your own free journal. People have been trying it since the Internet began and the best we get are some glorfied FTP server. Yes, this is all that some branches of science need, but there's a reason why Elsevier is still in business.
Can you configure a Google phone to use your servers instead of theirs for Google Assistant requests?
> that group was still technically employed by Gainax when Gurren Lagaan came out

Huh, TIL.

Gurren Lagaan is surprisingly meta. One of the big problems with the fight-focused anime formula is that they constantly one-up themselves, eventually power spiraling to unsustainable levels. So Gurren Lagaan's plot revolves around an energy literally called "spiral power" and how unsustainable it is.
> Being disrupted by an LLM has created a ton of anxiety for me, and this conversion led to investing almost my entire NW into Nvidia.

It is almost never a good idea to convert your entire NW into anything.

Nothing is unprecedented.
> When I last looked Firefox didn't support it natively but it was a requested feature.

That sounds familiar, unfortunately
Yep, it was broken a few times but fixed with microcode patches (afaik). It's still a part of the server processors and in wide use already. I'm not saying it's a golden bullet or otherwise infallable, but it sure beats cat /dev/mem by quite some way.
> The idea was this: if higher-education and prestigious experience weren't reliable sources of quality, and if you could make an ML model that could identify it better through testing

The problem is that in reality those two sources of data are really reliable. YC itself is mostly composed of people (over 90%) from prestigious schools and organizations.

It’s rare to see anyone accepted to YC, who was from a mediocre or unknown institution for both education and work experience.
Not many; the iPad Pro + Apple Pencil Pro is considered by many to be the best-in-class drawing tablet. And the Surface Pro frankly sucks for digital illustration — it's far less responsive, with far less control. The next-best option after an iPad Pro is a Wacom pad plugged into a PC.

Also, there's no point in using Photoshop for drawing on a tablet. (It's not impossible to use it for that, but it's not what I'd call a good experience.) You really want domain-specific digital-illustration software that puts the artist in direct control of brushes, color-mixing, and layers (either by direct-manipulation gestures, or in floating palettes, ring menus, etc); and then gets everything else out of the way (or doesn't include it at all.) You use such software to draw the things you want, as separate layer-groups or images — and then, when you're done, you throw those drawings into an app like Photoshop to clean them up, put them together, and otherwise transform your "drawings" into "artwork."

If you're familiar with audio production: think of Photoshop as a DAW, and illustration as a performance. Even a solo musician doesn't touch their DAW while they're playing an instrument; the only thing they're touching is their instrument. Digital-illustration software is an instrument.
No one knows how it will all shake out. I'm personally skeptical scaling laws will hold beyond GPT4 sized models. GPT4 is likely severely undertrained given how much data facebook is using to train their 8B parameter models. Unless OpenAI has a dramatic new algorithmic discovery or a vast trove of previously unused data, I think GPT5 and beyond will be modest improvements.

Alternatively synthetic data might drive the next generation of models, but that's largely untested at this point.
I always find it strange that people who talk about tech interviewing inexplicably overlook what seems to me to be a core defining characteristic: they are highly traumatic. You take some poor bastard and have him struggle at coding puzzles in front of someone he very much wants to impress and then watch as he fails miserably. They are left feeling like they are biologically inadequate to their job. It's a direct assault on egalitarian sentiment - a load bearing pillar of civilization - even if it is more or less a noble lie.

By definition, they only take the top 1%, and 99% of people get to eat shit. Inspiring existential resentment in the vast majority of people who interact with you is obviously not a recipe for good karma.
Or we might not. LLMs are remarkably dumb and incapable of reasoning or abstract thinking. No amount of iterative improvement on that would lead to an AGI. If we are to ever get an actual AGI, it would need to have a vastly different architecture, at minimum allowing the parameters/weights to be updated at runtime by the model itself.
Should have (2017) in the title to indicate when this was published.
OpenAI has nothing of particularly high value. They're giving away the store right now just to claim the onboarding. This unsustainable game will end badly and soon.
My first experience was when I was a coop student at DEC/Marlboro. First summer, I learned the -10 and wrote sysdpy in BLISS-10. Next summer, I wrote the KL-10 spooler - in assembly language. Folks these days don't appreciate that early OSs were all written in assembler because - efficiency! TOPS-20 was a well-curated set of JRSTs and Macros -- building blocks to build code quickly. Great, well-written assembly is an existential joy to read.

During my 2nd summer, I wrote a memo to Gordon Bell, suggesting we (DEC) not burn effort on the LSI-11; I suggested to him that we build the LSI-10 and take over the 'microcomputer' market since there was so much -10 software. He wrote back "Do it!" but, I had to go back to school in the fall, so I didn't get that done. sorry, everybody, everywhere.
Non working parents were major contributors to local communities.

I have noticed that community organisations now are far more dependant on retired peopke than they were a few decades ago.
Don't worry and live for the now.

It's not just you in the boat and whatever happens you can follow the crowd when/if it happens.

I personally believe it'll just be a new set of tools to reskill in, much like a calculator to an abacus.

Sure it would help to know how to build that calculator, but just changing the batteries and typing sums will be fine, and you can continue doing the theoretical physics equations the calculator helps with but cannot do itself.
Dropbox and KeePassium on the phone.
Heh, the problem with AI may be what it does with us.
Were these accounts family accounts, or just random accounts with no direct affiliation to your parent account?
We're really just describing an on-device search tool with a much better interface. It's only creepy if you treat it like a person, which Apple is pretty careful not to do too much.
Gentype
I think the hard thing is that there’s just a lot of mediocre programmers out there writing mediocre software. Should they be accredited or not?

I think a lot of average programmers will end up accredited if they see it as a path to a job, just like we see with Microsoft certificate programs. And if that happens, I wouldn’t want the accreditation test to be my company’s hiring bar. I’ll still run my own interview to make sure candidates are actually good. And so will most companies. So the time consuming interviews won’t actually go away.

The one big problem licensing would solve is that we could insist some baseline amount of security knowledge is in the tests. Right now, plenty of people get jobs handling sensitive personal data without knowing the first thing about how to keep data secure. That just can’t continue. It’s insane.
> to get some idea of how LLMs could appear to be 95% of the way there but still be structurally wrong to solve real-life problems that involve logic, arithmetic and everything else.

I'm not sure if your Godel Escher Bach reference is real, but Douglass Hofstadter himself has recanted some of his views in light of LLMs.

The things you're complaining about are implementation details.

> People who know better act insulted when I remind them that neural networks don't repeal the laws of computer science (e.g. Godel, Turing and all that.)

There is absolutely no evidence that humans do either. Not that I don't believe they do, because I -- due to religious reasons -- think we do. But from a purely empirical perspective, I don't see how you can make this claim at all.
Trigger has a new project in the works, it was announced last year:

https://www.animenewsnetwork.com/news/2023-07-01/trigger-unv...