skysight-inc/HackerNews huggingface dataset:
That is an excellent point. Warner's Atari would have undoubtedly ended up with the Amiga but would Warner's Atari have survived long enough to bring out an Amiga console or computer? It was hemorrhaging money. Once it died, who is mostly likely to have bought up their IP? Commodore? Someone else?
I'm migrating to Cloudflare

You can setup alternative nameservers first, they clone current DNS settings, then you update nameservers. Do the transfer after.

This worked while they were at Google Domains and about to be transfered. Haven't tried with squarespace yet, but it ought to work
The texture makes them terrible cooking apples; they basically turn into applesauce when cooked. I like Rome the best, but there are other good ones.
How I Write for the Web – Jekyll and GitHub Pages
You can turn off mobile data. They probably just wanted wired internet.
Yes, the chuckling was uncanny, but for me even more uncanny was how the female model went up at the end to soften what she was saying? into a question? even though it wasn't a question?

Eerily human female-like.
Potemkin supermarkets.
The future is very hard to predict and OpenAI is notoriously non-transparent.

If they were stumped as to how to improve the models further, would they tell you, or would Altman say "Our next model will BLOW YOUR MIND!" Fake it till you make it style to pump up the company valuation?
Oracle CEO Safra Catz sees tech solving tech's problems
https://archive.ph/zu2Ev
Welcome to half the people at your companies job.
Melinda French Gates Is Resigning from the Bill and Melinda Gates Foundation
A Lisp with a type system? Sounds like Common Lisp to me. SBCL (I'd say as close to a de facto standard as it gets) even has pretty good compile time type checking. E.g.

(defun foo (a b)
(declare (type String a b))
(+ a b))
; in: DEFUN FOO
; (+ A B)
;
; caught WARNING:
; Derived type of COMMON-LISP-USER::A is
; (VALUES STRING &OPTIONAL),
; conflicting with its asserted type
; NUMBER.
; See also:
; The SBCL Manual, Node "Handling of Types"
;
; compilation unit finished
; caught 1 WARNING condition

The type checking is the main thing that drove me to switch from Scheme to CL in the first place, and I stuck around for the nice little things like restarts and continuable asserts.
They have also relied heavily on overseas production work.
My ISP blacklisted my mail server within a couple weeks. I am not even particularly active in email.

Heck, the company I work for gave up trying to host our own email blasts to customers as we were fighting with different places around the world *constantly* (we had a dedicated position just for dealing with this shit, and they were becoming overwhelmed).
Copied and pasted the robot image journaling prompt and it simply cannot produce legible text. The first few words work, but the rest becomes gibberish. I wonder if there's weird prompt engineering squeezing out that capability or if its a 1 in a million chance.
I assume (because they don't address it or look at all phased) the audio cutting in and out is just an artefact of the stream?
At first I thought they were playing some semantic game.

Something like LLaVA being a language to vision model but I can't steelman the idea so it makes sense.

Maybe they're just lying?
The point is that these things have improved more than ever, yet people as angry as ever.

Although, I'd argue that some of this is noticing the utility, similar to the scientific method.

By getting angry people noticed injustices and demand change. There are many injustices in life. We handle them by first getting mad.

Run to the window, stick your head out, and yell: "I'm as mad as hell, and I'm not going to take it anymore".
Agnes (voice): "SEYMOUR, THE HOUSE IS ON FIRE!"

Skinner (looking up): No, mother, it's just the Nvidia GPUs.
I don’t think you understood. The mother’s illness was not generalized to the collapse of global civilization. The author’s experience with the former is being generalized to the experience of others as it relates to the “collapse” of global civilization.
The cost of fuel could be higher than the shipping cost, if we include things like:

* the cost of cleaning up all the carbon we’ve spewed out

* the cost of fossil fuel subsidies

* the political cost of doing business with oil producing countries, many of which seem to be fairly hostile
That's probably because supermarkets tend to stock those things that sell in reasonable volume. So if you're in an area where sheep's brains (to pick a contrived example) would sit on the shelf for months, they're unlikely to stock it.
Agnes (voice): "SEYMOUR, THE HOUSE IS ON FIRE!"

Skinner (looking up): "No, mother, it's just the Nvidia GPUs."
Lisp Macros are encouraged. In most other language you can't even write syntactical extensions. Such things are, generally, horrendous for readability. Like I said you can wield them effectively. But the average developer won't be able to.
Well, if you're living in "Extreme Poverty", then you'll be earning around $2 a day.

If you're earning $2 a day, then paying $.2 more for bottled water in paper is probably going to be detrimental for you. Around 1 billion people live in extreme poverty.

So yes, there's alternatives for you and me, but not for a billion people.

https://en.wikipedia.org/wiki/Extreme_poverty
Hah, was thinking of that exact bit when I wrote my comment. My version of "chair in the sky" is "But you are talking ... to a computer!!" Like remember stuff that was pure Star Trek fantasy until very recently? I'm sitting here with my mind blown, while at the same time reading comments along the lines of "How lame, I asked it some insanely esoteric question about one of the characters in Dwarf Fortress and it totally got it wrong!!"
From my experience, depends on the kid. Some kids have all the access in the world and are even "skilled" with the TV and YouTube (tablets) but don't care. They prefer playing with cats, dogs and birds outside, mess up the garage, get dirty playing in the mud, etc.

There are other kids that won't see a computer until the age of 18. But when they do, they're gonna install linux and end up leading SRE teams without a degree in CS.

There are high level patterns, but humans are unique and require different amounts of supervision.
What part of this makes you think GPT-4 suddenly developed a world model? I find this comment ridiculous and bizarre. Do you seriously think snappy response time + fake emotions is an indicator of intelligence? It seems like you are just getting excited and throwing out a bunch of words without even pretending to explain yourself:

> using language in a way that requires both a shared world model

Where? What example of GPT-4o requires a shared world model? The customer support example?

The reason GPT-4 does not have any meaningful world model (in the sense that rats have meaningful world models) is that it freely believes contradictory facts without being confused, freely confabulates without having brain damage, and it has no real understanding of quantity or causality. Nothing in GPT-4o fixes that, and gpt2-chatbot certainly had the same problems with hallucinations and failing the same pigeon-level math problems that all other GPTs fail.
Soon these models are cheap enough to learn in the real world. Reduced costs allows for usage at massive scale.

Releasing models to users that where users can record video is more data. Users conversing with AI is also additional data.

Another example is models that code– And then debug the code and learn from that.

This will be anywhere, and these models will learn from anything we do/publish online/discuss. Scary.

Pretty soon– OpenAI will have access to
Two Pizzas for ME – What is this article trying to say?
I just read this DailyWTF article[1] and as a non-American, I'm quite intrigued. Is this some sort of dark humor, parody or do things really work like this in United States, especially in startup companies?

It seems to be a fictional tale of an IT Developer and her project manager who doesn't seem concerned at all about getting things done while the CEO is a "face time" dude who is more interested in presentation and polish than actual client servicing. And to top it, the programmer who actually codes is not only never seen in the office (non-existent?) but is actually "multiple people" at least on paper.

How is this firm even on board or generating revenue, I just fail to understand!

[1]: https://thedailywtf.com/articles/two-pizzas-for-me
If there was any glimmer of hope for "Rabbit M1" or "Humane AI pin", it can be buried to dust.
Yeah, it's weird. Confused me too.
I will be the one to say it.

Progress is slowing down. Ever since gpt3, periods of time between releases are getting longer and the improvements are smaller. Your average non-techie investor is on the LLM hype train and is willing to dump a questionable amounts of money on LLM development. Who is going to explain to him/her/them that the LLM hype train is slowly losing steam?

Hopefully, before the LLM hype dies, another [insert here new ANN architecture], will bring better results than LLMs and another hype cycle will begin.

Every time we make a new breathrough, people think that the discovery rate is going to be linear or exponential when the beginning is closer to a logarithmic rate with the tail end resulting in diminishing returns
Save up to 14 percent CPU with continuous profile-guided optimization for Go
If you suspected you had underage users using your service illicitly. Could you not use such methods to find them?

I wonder at what point analytics, queries, or ML to determine age gets in the way of actually keeping them from getting into things they shouldn't...

Under age users aren't going to just tell you their age honestly, so you'd have to use some method to derive their age.
Under the UK Online Safety Act pretty much every website going forward is required to figure out the age of every user - https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-re...

This is almost certainly a starting part of implementing that, designed to reduce the amount of users they have to ask for harder age checks for.
I had the same reaction. While incredibly impressive, it wasn't something I would want to interact with.
Comments like yours contribute to the negative perception of Hacker News as a place where launching anything, no matter how great, innovative, smart, informative, usable, or admirable, is met with unreasonable criticism. Finding an angle to voice your critique doesn't automatically make it insightful.
Indeed. For instance, one might ask Von Neumann what he thinks of the progress on nuclear power, given his prediction "given a decade of really large-scale industrial effort, the economic characteristics of reactors will undoubtedly surpass those of the present by far" in "Can we survive technology?"
I would be more surprised if a social app wasn't doing this
For instance, on the planet Earth, man had always assumed that he was more intelligent than dolphins because he had achieved so much -- the wheel, New York, wars and so on -- whilst all the dolphins had ever done was muck about in the water having a good time. But conversely, the dolphins had always believed that they were far more intelligent than man -- for precisely the same reasons.
I hope we can disable the cringe American hyperemotions.
> cook down some trinity

I've never heard that term; does it refer to mirepoix?
Sam has stated that he knows the month GPT-5 will be released.

Given the amount of time and uncertainty involved in training and red-teaming these models, we can assume GPT-5 exists if we take Altman at his word.
It's still possible to make money in this situation. Buy a company, then have it buy itself back using debt. The PE firm gets most of its initial capital investment back then secures a revenue stream in the form of management fees. The company can still go bankrupt, but as long as it sticks around long enough to pay back enough to the parent company that it turned a profit, things worked out. The bond holders can fight over the scraps post-bankruptcy.
Any reason to go that route over just making an S3 bucket publicly accessible and pointing dns at it? Should cost roughly $0/mo unless you’re getting massive amounts of traffic.
Personal Archiving
> "collapse of global industrial civilization"

Would intentional restraint of civilization be a better descriptor? How about neutering by design?

My wife needs long term, in-patient treatment and therapy. After centuries we can finally do it fairly well. And then we put a moat around it that very few can cross.

My wife is not in the small, privileged class that can cross that moat. After a lot of damage, she eventually left us to become homeless. The last I heard she's 2k miles away. Her sister died unexpectedly yesterday. I sent word but it's not likely to reach her.
Mastodon effectively democratizes the moderation to the huge group of server admins - who do a massive amount of unpaid labor. It definitely keeps some people away, and burns others out.
I made a website with book summaries (https://www.thesummarist.net/) and I tested GPT-4o in generating one, and it was bad. It reminded me of GPT-3.5. I didn't test too much, but preliminary results don't look good.
Vintage Japanese Train Tickets
Probably not. There were hopes that dark matter might arise from supersymmetry, and that if so the LHC might be able to create it.

Thus far they haven't found it, which is a big strike against supersymmetry, as well as a loss of an avenue for exploring dark matter. So back to the drawing board.

At that drawing board, they have other tools to look at. Often, they're astronomical and cosmological. One big clue is the "Bullet Cluster", where two galaxies collided, and the regular mass smashed into each other but the dark matter kept going. And they can look at the distribution of the Cosmic Microwave Background, which would show the influence of early dark matter.

Using that they know that dark matter must be "cold", i.e. not moving near the speed of light. So it must be fairly heavy -- heavier than neutrinos, at least, another particle that's maddeningly hard to detect. (They do have neutrino detectors that also hope to spot a dark matter collision event, but it's unlikely.)

If supersymmetry doesn't cut it, they'll need a new way to fix other problems with the Standard Model. Those would hopefully predict another dark-matter-like particle (massive, weakly interacting), which in turn would point in the direction of a detector. But there aren't any front-runners at the moment.
Just letting you know it's available right now, just specify `gpt-4o` -- for text streaming anyway. I'd hazard a guess that the audio endpoints are open now, just not documented (like most of the last launches)...
I run a Wordpress site that gets tens of GB of traffic per month for about half of that (hosting + domain name registration)
Maybe finding out if you've got under aged users in order to prevent them from using the service or accessing resources they should not?

The obvious answer is marketing but I think there "could" be a real use case for:

"We want to know if we've got under aged users accessing what they shouldn't and they're not honest about their age so we have to figure it out somehow."
Yep. To me, nature seems way more dominant than nurture in how things pan out. A kid is just an archive self-extracting before your eyes. Making sure that process happens smoothly is the best you can do.
Related:

Jeff Barr acknowledges S3 unauthorized request billing issue - https://news.ycombinator.com/item?id=40221108 - May 2024 (18 comments)

How an empty S3 bucket can make your AWS bill explode - https://news.ycombinator.com/item?id=40203126 - April 2024 (111 comments)
> The answer to this question almost has to be "because it will be cheaper to buy it tomorrow."

No, it doesn't. It could just as easily be "because I will have more money tomorrow." If faster compute is $300 and more VRAM is $200 and I have $300 today and will have another $200 two years from now, I might very well like to buy the $300 compute unit and enjoy the faster compute for two years before I buy the extra VRAM, instead of waiting until I have $500 to buy both together.

But for something which is already a modular component like a GPU it's mostly irrelevant. If you have $300 now then you buy the $300 GPU, then in two years when you have another $200 you sell the one you have for $200 and buy the one that costs $400, which is the same one that cost $500 two years ago.

This is a much different situation than fully integrated systems because the latter have components that lose value at different rates, or that make sense to upgrade separately. You buy a $1000 tablet and then the battery goes flat and it doesn't have enough RAM, so you want to replace the battery and upgrade the RAM, but you can't. The battery is proprietary and discontinued and the RAM is soldered. So now even though that machine has a satisfactory CPU, storage, chassis, screen and power supply, which is still $700 worth of components, the machine is only worth $150 because nothing is modular and nobody wants it because it doesn't have enough RAM and the battery dies after 10 minutes.
Text access rolling out today, apparently:

>GPT-4o’s text and image capabilities are starting to roll out today in ChatGPT. We are making GPT-4o available in the free tier, and to Plus users with up to 5x higher message limits.

Anyone have access yet? Not there for me so far.
There's a pretty famous example of Xerox's scanners using compression on the scans done...except the "compression" would sometimes substitute the wrong letter or number on text-based content. [1]

So I can foresee pretty straightforward problems with merely storing the text content from the images, to say nothing of any less binary "is it correct" questions.

[1] - https://www.dkriesel.com/en/blog/2013/0802_xerox-workcentres...
The system works! Just raise your concerns and they'll get around to it in [checks notes] 18 years

https://twitter.com/cperciva/status/1785402732976992417
The part about C++ is true, when you need to use a combination of SIMD/CUDA/MPI there is no game in town but C++. The ecosystem is so vast, we rely on too many scientific/numerical libraries that took tiny armies of grad students to create.

But for new projects in the future, I am looking towards Mojo and Chapel.
I was excited to see this and the changes that occurred, but this "map" is one of those preachy hyperinteractive visual storytelling scrollslop things that the likes of NYT routinely creates.

Anyone have a link to the actual map of the zone changes without the interactive TikTok experience?
The big news is that this is gonna be free
Corrected link: https://www.nytimes.com/2024/05/13/business/melinda-gates-re...
I will believe it when I see it. People like to point at the first part of a logistic curve and go "behold! an exponential".
Eh if you're running in production you'll want something lower level and faster than pytorch.
I would assume the same. Even if just to address issues with under age users.
I think its a "she" FWIW.
Top500 June 2024
sama recently said they want to allow NSWF stuff for personal use but need to resolve a few issues around safety, etc. OpenAI is probably not against sexting philosophically.
> Probably some kinks there they are working out

Or just a good idea for a live demo on a congested network/environment with a lot of media present, at least one live video stream (the one we're watching the recording of), etc.

At least that's how I understood it, not that they had a problem with it (consistently or under regular conditions, or specific to their app).
Unlocking the Potential of Meldonium
It's the Nazis if they actually had all the industrial capacity to devote to building Mäuse and Ratten!
I think adding tickets, stories, etc., would still be there, and that can be used to compile status summaries. Additionally there are AI meeting notes already, although it might need a few more iterations before it's reliable. Hopefully nobody is measuring PR throughput, it's impossible to generalize development and bug fixes to measure this meaningfully.
I Am Sick
> And there are people who burn their own reputation by complaining more than is useful.

Ironic for you to say that on a post that specifically talks about trait transfer, of people hardwired to misattribute and shoot the messenger.
One of the most interesting things about the advent of LLMs is people bringing out all sorts of "reasons" GPT doesn't have true 'insert property' but all those reasons freely occur in humans as well

>that it freely believes contradictory facts without being confused,

Humans do this. You do this. I guess you don't have a meaningful world model.

>freely confabulates without having brain damage

Humans do this

>and it has no real understanding of quantity or causality.

Well this one is just wrong.
I agree with your first point. Societies that socialize people to prioritize individual “happiness” over fulfilling social obligations will die out and better societies will take their place.
You must be really confident to make a statement about 4 billions of people, 99% of which you have never interacted with. Your hyper microscopic sample is not even randomly distributed.

This reminds me of those psychology studies in the 70s and 80s were the subjects were all middle class european-american and yet the researchers felt confident enough to generalise the results to all humans
As I see it, plastic is too cheap to produce (no incentive to recycle it) and overproduced (lots of very low quality plastic goods that have to be frequently replaced; lots of things with unnecessary plastic packaging). A cap on production ought to go some way towards solving both problems.
If anyone wants to try it for coding, I just added support for GPT4o in Double (https://double.bot)

In my tests:

* I have a private set of coding/reasoning tests and it's been able to ace all of them so far, beating Opus, GPT4-Turbo, and Llama 3 70b. I'll need to find even more challenging tests now...

* It's definitely significantly faster, but we'll see how much of this is due to model improvements vs over provisioned capacity. GPT4-Turbo was also significantly faster at launch.
You have filtered water delivered to your home or you drink bottled water. If you are away from your home and you need water, you buy a bottle. Everyone only drinks bottle water in Cambodia/Vietnam/Thailand unless you are so desperately poor that you have no choice but to get sick.

Exceptions abound, I'm sure, but it is a necessity not a luxury.
While I do feel a bit of "what is the point of my premium sub", I'm really excited for these changes.

Considering our brain is a "multi-modal self-reinforcing omnimodel", I think it makes sense for the OpenAI team to work on making more "senses" native to the model. Doing so early will set them up for success when future breakthroughs are made in greater intelligence, self-learning, etc.
I don’t think the intent matters, the effect of its capacities being centered where they are is that they trigger certain human biases.

(Arguably, it is the other way around: they aren’t focused on appealing to those biases, but driven by them, in the that the perception of language modeling as a road to real general reasoning is a manifestation of the same bias which makes language capacity be perceived as magical.)
Relatedly, GCC/binutils still has a `.ident` assembly directive (https://sourceware.org/binutils/docs/as/Ident.html) and `#ident` preprocessor command (https://gcc.gnu.org/onlinedocs/cpp/Other-Directives.html) that emit data into an ELF .comment for `what` to read...
Agree.

However, I think the most cost-effective way to train for real world is to train in a simulated physical world first. I would assume that Boston Dynamics does exactly that, and I would expect integrated vision-action-language models to first be trained that way too.