skysight-inc/HackerNews huggingface dataset:
> What I think this will unlock, maybe with a bit of improvement, is low quality video generation for a vast number of people. Do you have a short film idea? Know people with some? Likely millions of people will be able to use this to put together good enough short films - that yes, have terrible details, but are still good enough to watch.

Sure, this is already happening on Reels, Tik Tok, etc. People are ok with low quality content on those platforms. Lazy AI will undoubtedly be more utilized here. But I don’t think it’s threatening Hollywood (well, aside from slowly destroying people’s attention spans for long form content, but that’s a different debate). People will still want high quality entertainment, even if they can also be satisfied with low fidelity stuff too.

I think this has always been true — think the difference between made for TV CGI and big-budget Hollywood movie CGI. Expectations are different in different mediums.

This current product is not good enough for Hollywood. As long as people have some desire for Hollywood level quality, this will not take those jobs.

The big caveat here is “yet” — when does this get good enough? And this is where my skepticism comes in, because the last mile is the hardest, and getting things mostly right isn’t really good enough for high quality content. (Remember how much the internet lost it over a Starbucks cup in Game of Thrones?)

The other caveat is maybe that our minds melt into stupidity to the point that we only watch things in low fidelity 10 seconds clips that AI can capably run amock with. In which case I don’t really think AI actually takes over Hollywood so much as Hollywood — effectively high fidelity long form content — just ceases to exist altogether. That is the sad timeline.
I haven't used SORA, but none of the GenAI I'm aware of could produce a competent comic book. When a human artist draws a character in a house in panel 1, they'll draw the same house in panel 2, not a procedurally generated different house for each image.

If a 60 year old grizzled detective is introduced in page 1, a human artist will draw the same grizzled detective in page 2, 3 and so on, not procedurally generate a new grizzled detective each time.
This is by design, they want the news articles saying "this is so popular it crashed their website!"
Pixel art is nostalgic for many, but a big reason why it's used in indie games is because it's very easy to animate and look passable.
Small languages, if they are suitably constrained, offer far more reasoning power and optimisation potential. This is why we need more small languages, not less. Python aims for maximum flexibility and maximum ease of use. This comes with real and serious trade offs. Python programs are very very difficult to reason about, for both people and machines.

A textbook example for you are (proper) regular expressions. This little language guarantees O(n) matching. The Python and Perl communities added backtracking without truly understanding why backtracking was missing in the first place. Now their misnamed "regular expressions" cause security issues for their users.
Basic Cryptography to Protect Information
Basic cryptography involves techniques to protect information by converting readable data into an unreadable format, which can only be reversed with a specific key. This is fundamental to guaranteeing the security of sensitive data, such as passwords and personal information. In this article I show how we can implement basic cryptographic concepts and techniques. https://chat-to.dev/post?id=611
There's also AI, that despite it's failings brings an entirely new meaning to weaponized tech.
Intel is no longer relevant. Time to move on. Intel is not inside any phones, gaming consoles, Apple laptops or the plethora of other devices we use daily. The only people still using Intel are old legacy companies with a penchant for overspending on a noisy, hot data center. They will soon be out of business themselves because of the rise of AI.

Intel is no longer relevant and should be shut down, and the money invested in other more promising ventures with a future.
since the alleged UHC shooter has apparently been influenced by Ted Kaczynski's ideas [1] who has himself closely studied Jacques Ellul, I thought maybe it's time to submit old Jacques[2] again.

Turns out these books are incredibly dangerous for unchecked Capitalist sytems.

[1] https://www.goodreads.com/review/show/4065667863

[2] https://en.wikipedia.org/wiki/Jacques_Ellul
That's very useful, I missed that when I read through the article.

If the logical qubit can have double the lifetime of any physical qubit, that's massive. Recall IBM's chips, with t-times of ~400microseconds. Doubling that would change the order of magnitude.

It still won't be enough to do much in the near term - like other commenters say, this seems to be a proof of concept - but the concept is very promising.

The first company to get there and make their systems easy to use could see a similar run up in value to NVIDIA after ChatGPT3. IBM seems to be the strongest in the space overall, for now.
> Why not? If you do a fresh install, everything should match up.

Absolutely not. The file names in stack traces will be from the site-packages folder in the venv instead of the local checkout.
From the few videos that I've seen, I would agree that it doesn't seem to be better than any of the major competitors such as Kling, Hailuo, Runway, etc.
The problem here is that the usual explanation sneaks in multiple rarely stated assumptions.

If Monty knows the door with the prize and is aiming for the game to continue, then you should switch. (This is the usual argument.)

If Monty doesn't know where the prize is, then you learned nothing. (Monty's result was luck, and he can't impart information that he doesn't have.)

If Monty knows where the prize is and wants you to lose, absolutely don't switch. (Monty will only drag the game out as a way to try to make you lose.)

The reasoning behind these statements is completely solid, and there are no hidden assumptions being snuck in.
I think this is a good direction, less threatening.

The cloud?
If you're a software engineer, then the Quantum Katas might fit your learning style. The exercises use Q#, which is quantum specific programming language.

https://quantum.microsoft.com/en-us/tools/quantum-katas

The first few lessons do cover complex numbers and linear algebra, so skip ahead if you want to get straight to the 'quantum' coding, but there's really no escaping the math if you really want to learn quantum.

Disclaimer: I work in the Azure Quantum team on our Quantum Development Kit (https://github.com/microsoft/qsharp) - including Q#, the Katas, and our VS Code extension. Happy to answer any other questions on it.
If everyone knows that the liar always lies, then can he effectively even lie? It’s like he speaks a language where everything means the opposite of what it means in English, and everyone understands this semantically inverted language. So then he might lie by just telling the truth.
Which tool did you use to create that busy_spec.html file? They remind me of Engelbart's blue numbering system for documents, if I remember the name correctly.
Why would I give away the idea for free? How much do you want to pay for the implementation?
I do not think this analysis is correct. "char *foo" is not a cue in the wrong direction, it indicates that in "char *foo, bar" only foo is a pointer. Whether the syntax for declarations in C is a good or idea or not is a different question, but it is not misleading in the same way "x+y * z" is.
And why physical execution frequently significantly departs from sketches and concept art. The amount of intent that doesn't get translated is pretty staggering in both physical and digital pipelines in many projects.
> a couple is often entirely on their own.

Yeah. This has been the worst part. Neither of our parents feel the need to help with their TIME, but they will sporadically send us money after making us feel bad about asking. Meanwhile they had all kinds of help from relatives, in time, sweat, and money.
Part of the problem is that you don't get your full Social Security benefits until age 70, so for the one grandparent that is still working, they literally do not have the time to help. If they wanted to retire early, they would have to forgo what they perceive as critical $. Alternatively, they could sell their multi-million dollar home and downsize, but their egos could never handle that.
English is an interpreted language. We wouldn't have this problem if we can check for undefined references during compilation.
Guess Mr. Phuc dat Bich from Hanoi needn't bother applying.

Wonder what's the algorithm they use to know a "real name"
The tl;dr is that inheritance is bad in config, whether it be from OOP or layering yaml files like Helm. The reason being that it is hard to understand where a value is coming from and where one must make an edit to correct it in high-stress SRE situations like downtime. Marcel worked on both major config languages at Google, and iirc Starlark is based on GCL ideas

The Logic of CUE is a great read: https://cuelang.org/docs/concept/the-logic-of-cue/
Fire risk assessment of battery home storage compared to general house fires
You can also get a mobile PIN device from the bank that uses the chip in your card to authenticate access and transactions. This infra has been around for a while and predates using your phone for this step in the transaction process.
That's what I describe at the end, albeit quickly in lingo, where the internal coherence is maintained in internal embeddings that are never related to English at all. A top-level AI could orchestrate component AIs through embedded vectors, but you'll never do it with a human trying to type out descriptions.
> Another on that really irritates me is the kind that presents a series of integers and asks which integer comes next. Any integer will do, you just have to fit the appropriate polynomial.

This one bugs me to no end because it's part of the standard elementary school curriculum, for example here:
https://byjus.com/maths/patterns-questions/

But surely someone with a strong imagination could come up with a pattern to fit any number as the next in the sequence. I doubt most elementary educators even grasp the issue.
No, but I'll give the wikipedia summary a gander :)
It varies from person to person. People love to take credit for their state of health, but mostly it is down to genes and luck. Some life habits will make things worse, you know what they are. But some people are dead instead of old, and you won't get replies from them.
"The Pelican inexplicably morphs to cycle in the opposite direction half way through"

Oof, if sora can't even manage to maintain an internal consistency of the world for a 5 second short, I can't imagine how exacerbated it'll be at longer video generation times.
I think the same of your interpretation of some vs all. Some can contain all, just as it contains none. Both some/all imply, but do not assert existence. Claiming it tautologically defies logic is not compelling.
We've been happily using this algorithm for motion sensor (IMU, gyroscope and accelerometer) filtering to game control input for some time in the open source application Handheld Companion [1].

There's also another nice page with explanation on how to tune the parameters [2] and there's a great visual with your mouse [3].

[1] https://github.com/Valkirie/HandheldCompanion

[2] https://gery.casiez.net/1euro/

[3] https://gery.casiez.net/1euro/InteractiveDemo/
> The facts here are inaccurate. You should never trust a ChatGPT answer, but it can point you to better information, and give you an idea of where to look.

That just sounds like a search engine with extra steps and a monthly fee.
>Hardly. The Friedman doctrine didn't exist prior to 1970; does that make every business venture prior to that a statist-collectivist enterprise? Are privately-owned companies the expressed goal of Marxism? Of course not.

>The whole "if you don't have a bunch of free riders participating in an equities market, it's Marxism" bit is an intentionally obtuse argument.

To be fair, Marxism can roughly be summarized as "workers should own the means of production, capitalists are exploiting workers by leeching off what they produce", and what you've said so far about shareholders being "free riders" and that "corporate profits returning to shareholders at the expense of workers and customers" isn't too far off from that. The fact that you refuse to directly answer my question of whether shareholders should get any money doesn't help your case either. In light of all of this, I feel like asking whether you're arguing for Marxism was totally justified.

>Current schools of thought essentially dictate that management and investors treat that share as if it can be unlimited. Anything that could possibly limit returns (taxes, regulations, labor movements, consumer rights, etc.) is an externality or to be eliminated. Otherwise, it gets in the way of profit, and since most economist types have a limited ability to understand anything beyond the absolute simplest of abstractions, profit has to be the ultimate measure of social good. Therefore, those things stand in the way of social good.

Capital and labor are both trying to get as much share as possible. I don't see how either side is any different. If anything, labor has actually been more successful, because their share is currently above 50%, and actually got their share to 100% in a few places (ie. communism). Meanwhile I'm not aware of any instances where capital's share is 100%, except maybe some edge cases where capital and labor is the same person (ie. self employment).

>We should make it higher.

Why? More to the point, what do you think is an equitable split?
"And then everyone clapped ..."

There's nothing wrong with technology going forward and this doesn't go against "creativity and art", to the contrary, it will enhance it.
When should one start doing this though, in a companies life cycle?

What is the most reasonable point that meets the criteria of 'as soon as possible'?

Because I imagine out of the gate doing this could be a net negative, not a net positive.

On the other hand, I'm not sufficiently well versed enough on the absolute latest devops techniques that may make this whole thing trivial, but I thought all the major cloud providers had just enough quirks in their Terraform support you can't write once standup / deploy anywhere
A little worried how young children watching these videos may develop inaccurate impressions of physics in nature.

For instance, that ladybug looks pretty natural, but there's a little glitch in there that an unwitting observer, who's never seen a ladybug move before, may mistake as being normal. And maybe it is! And maybe it isn't?

The sailing ship - are those water movements correct?

The sinking of the elephant into snow - how deep is too deep? Should there be snow on the elephant or would it have melted from body heat? Should some of the snow fall off during movement or is it maybe packed down too tightly already?

There's no way to know because they aren't actual recordings, and if you don't know that, and this tech improves leaps and bounds (as we know it will), it will eventually become published and will be taken at face value by many.

Hopefully I'm just overthinking it.
Doubtful. I started new threads using carbon-copy prompts. I'll research some more to make sure I'm not missing anything, though.
I'm not saying these people don't exist, just that judging is usually unfair.
I believe it. I was just using AI to help out with some mandatory end of year writing exercises at work.

Eventually, it starts to muck with the earlier work that it did good on, when I'm just asking it to add onto it.

I was still happy with what I got in the end, but it took trial and error and then a lot of piecemeal coaxing with verification that it didn't do more than I asked along the way.

I can imagine the same for video or images. You have to examine each step post prompt to verify it didn't go back and muck with the already good parts.
Never mind the extra money spent on a "safe" saw vs the one without.
The answer is yes and no, simultaneously
I wish more of the country had tech work. I shouldn't have to move away from my village across the country to one of a handful of tech hubs.

Incentivize remote work so we can spread out into these cheaper and under served communities.
There's a couple of effects that CRTs make that simply cannot be reproduced on LCD as well, even with advanced filters. The pixel glow and deep blacks are just locked behind the glowing phosphor technology. High resolution OLED can come close, but those displays are still pretty expensive.
That's just sad, and why people have a derogative stance towards generative AI: "half-decent" approximation removes all personality from the output, leading to a bunch of slop on the internet.
being autodidactic matters a lot
Wow, fascinating. I had no idea these hypernuclei even existed!

Interesting background read: https://en.m.wikipedia.org/wiki/Hypernucleus
There should just be a legal duty placed on cloud providers to not do this. Nobody would expect you to hold a second redundant commercial lease for your offices or retail location.
You should see what people are building with Open Source video models like HunYuan [1] and ComfyUI + Control Nets. It blows Sora out of the water.

Check out the Banodoco Discord community [2]. These are the people pioneering steerable AI video, and it's all being built on top of open source.

[1] https://github.com/Tencent/HunyuanVideo

[2] https://banodoco.ai/
The Pinkertons are a fascinating period of history. "Detective agency" in the modern parlance doesn't really fit. They were a private army for the wealthy that at one time was larger than the US army.

One particularly famous incident (after the founder's death) was the Homestead strike [1]. Strike-breaking was very much in the Pinkerton's wheelhouse and it's a good example of what they were actually used for [2].

There doesn't seem to be a lot of fiction that features the Pinkertons prominently. One exception is the (excellent) HBO TV series Deadwood.

It's particularly apropos at this time because the lawless violence and organized labor suppression of the robber barons in the Pinkerton era is very much the future we are careening towards.

[1]: https://www.pbs.org/wgbh/americanexperience/features/carnegi...

[2]: https://allthatsinteresting.com/pinkerton-detective-agency
Exactly I don't know how people are saying SORA is bad. I know there are restrictions with humans. But with the storyboard and other customisations, it's definitely up there!
Just need to add a hand with 6 fingers strumming it and it could be a meme.
VFX heavy feature for a Disney subsidiary. Each frame is rendered independently of each other - it’s not like video encoding where each frame depends on the previous one, they all have their own scene assembly that can be sent to a server to parallelize rendering. With enough compute, the entire film can be rendered in a few days. (It’s a little more complicated than that but works to a first order approximation)

I don’t remember how long the final rendering took but it was nearly two months and the final compute budget was 7 or 8 figures. I think we had close to 100k cores running at peak from three different render farms during crunch time, but don’t take my word for it I wasn’t producing the picture.
In the US, a 1200 sq ft or smaller home would be a post ww2 "starter home", usually 2 or 3 bedroom. Homes of this size are pretty much not being built anymore, the average size of a new home in the US has been around 2500 sq ft for decades now. The median size of all existing homes in the US sits just north of 2000 sq ft.
> A liar is someone who only says false statements.

we're using a made up definition of liar, who can only say things that are false. it's not part of the question for the liar to be able to tell a statement they arent certain is false
Hey - great writeup!

Curious how you're planning to handle Postgres versions going forward - will v16 be a hard requirement for new OSS deployments? What's your strategy for managing existing deployments on older versions?
I’d be more worried about the inevitable “we’re under nuclear attack, head for shelter” CNN deepfakes.
> The sinking of the elephant into snow - how deep is too deep? Should there be snow on the elephant or would it have melted from body heat? Should some of the snow fall off during movement or is it maybe packed down too tightly already?

Should there be an elephant in the snow? The layers of possible confusion, and subtle incorrect understandings go much deeper.
I use alpine over at sdf.org. I'd love to use this instead.
Also, I guess its just normal for a car lane to just merge seamlessly into a pedestrian zone
I don't understand why you see a distinction between models that generate text, and those that generate images, video or audio. They're all digital formats, and the technology itself is fairly agnostic about what it's actually generating.

Can't text also be considered art? There's as much art in poetry, lyrics, novels, scripts, etc. as in other forms of media.

The thing is that the generative tech is out of the bag, and there's no going back. So we'll have to endure the negative effects along with the positive.
Hunyuan at other providers like fal.ai is cheaper than SORA for the same resolution (720p 5 seconds gets you ~15 videos for $20 vs almost 50 videos at fal). It is slower than SORA (~3 minutes for a 720p video) but faster than replicate's hunyuan (by 6-7x for the same settings).

https://fal.ai/models/fal-ai/hunyuan-video
Even if that is the case -- if he has no hats, then the statement is technically true, and regardless of whether he intended to lie or not, he made a true statement.
Features such as type unions. The topic of this conversation.

> Why are we not using OCaml or standardML or even F# (which I tend to look favorably on) more widely then?

In my opinion there are a number of factors. I have most experience with OCaml, so on that:

1. Terrible Windows support.

2. Poor documentation.

3. An obsession with linked lists and recursion, which are great from a theoretical point of view, but abysmal from a performance point of view (and also simplicity IMO).

4. Poor syntax. The dearth of brackets and semicolons makes it very hard to visually parse. Something as simple as mismatched brackets can be very frustrating to resolve. The insistence on (a -> b -> c -> d) style function types is unnecessarily confusing. Generally when there has been a choice between academic cleverness and accessibility they've always chosen cleverness.

5. Global type inference is pretty clearly a mistake at this point.

IMO part of the reason Rust is so successful is that it has taken a lot of the very good ideas from ML and basically fixed all of the above issues.

Standard accessible C style syntax, but expression based and with proper ML style types. Fantastic documentation and Windows support. No linked lists to be seen.

It's such a compelling design someone copied it for Go: https://borgo-lang.github.io/
I share your concern as well and at times worry about what I'm seeing too.

I suppose the reminder here is that seeing does not warrant believing.
Yep, this is common with Hetzner and has been the case since forever. Unfortunately all the comments even suggesting that Hetzner is not good for running serious scaled businesses for this reason and many others usually get downvoted to oblivion and remain hidden.
If you're going to say something like this, you need to back it up with specific alternatives that provide a better result.

Besides just citing your sources, I'm genuinely curious what the best ones are for this so I can see the competition :)