skysight-inc/HackerNews huggingface dataset:
I'm saying:

- Generally, we do not say someone does not understand just because of a model error. The model error has to be sufficiently large or the model sufficiently narrow. No-one says Newton didn't understand gravity just because his model has an error in it but we might say he didn't understand some aspects of it.

- You are saying the LLM is making a model error (rather than an an application error) only because of preconceived notions of how 'machines' must behave, not on any rigorous examination.
You don't think that Pharma and Insurance aren't paying off both sides? That's rule number 1 in lobbying - you work both sides.
I still am excited by Dex (https://github.com/google-research/dex-lang/) and still write code in it! I have a bunch of demos and fixes written, and am just waiting for Dougal to finish his latest re-write before I can merge them.
The dark forest hypothesis sort of existed before Liu Cixin.
I think you might be operating under some incorrect assumptions.

> anytime a client requires knowledge of your DB schema

GraphQL is very explicitly _not_ a representation of your database schema. The “schema” being referred to here is the GraphQL schema, not the SQL schema. I might be missing some nuance in your comment, but I do think this is a very important point to drive home.
This was right up my alley, and inspired by this post, I had to check against the norwegian scrabble dictionary: https://earth.hoyd.net/posts/ord-du-kan-stave-med-en-kalkula...
The explanation of Google's error correction experiment is basic but fine. People should keep in mind that Quantum Machines sells control electronics for quantum computers which is why they focus on the control and timing aspects of the experiment. I think a more general introduction to quantum error correction would be more relevant to the Hackernews audience.
The issue here is that you're shifting the goalposts.

Here's a boiled-down transcript what just transpired between yourself and the other commenter:

You: NATO seeks to deploy missiles within 7 minutes flight time of Russia's capitol. That's bad, threatening.

They: But we already have Russian missiles in the middle of Europe, in Kaliningrad.

You: But those missiles are on Russian territory, so that makes it OK.

There's simply no logic in your follow-up. Either the concern is missile proximity as you initially stated, or it isn't. And if it is -- you can't simply say it's intrinsically threatening and destabilizing when one country does it, but somehow benign and non-threatening when another country does (simply because in their case the missiles happen to be on their own territory).

Plus there's Russia's announcment of its intent to employ actual nuclear-armed missiles in Belarus, which no one has mentioned. Which would seem to make its complaint about non-nuclear deployments in Ukraine (which everyone knows will be exactly that) largely moot.
Paul Le Roux (Wikipedia)
LTX-Video – The first open DiT-based video generation mode
It's all chemoception, the same as with single cell organisms. They swim towards a saline gradient ( which they can taste, for sure ) and follow it up into fresher and fresher water.
And they rolled out a new driver search that sucks!
> Currently, graphics drivers are distributed by each OEM via Windows Update. Qualcomm plans to release drivers directly to consumers soon.

https://www.qualcomm.com/drivers

I think that's a really dumb move. It essentially cripples the default experience and non-technical folks will just assume the product sucks.
I think this is a little paranoid. No one is training extremely large expensive LLMs on huge datasets in the hope that a blogger will stumble across poor 1800 Elo performance and tweet about it!

'Chess' is not a standard LLM benchmark worth Goodharting; OA has generally tried to solve problems the right way rather than by shortcuts & cheating, and the GPTs have not heavily overfit on the standard benchmarks or counterexamples that they so easily could which would be so much more valuable PR (imagine how trivial it would be to train on, say, 'the strawberry problem'?), whereas some other LLM providers do see their scores drop much more in anti-memorization papers; they have a clear research use of their own in that very paper mentioning the dataset; and there is some interest in chess as a model organism of supervision and world-modeling in LLMs because we have access to oracles (and it's less boring than many things you could analyze), which explains why they would be doing some research (if not a whole lot). Like the bullet chess LLM paper from Deepmind - they aren't doing that as part of a cunning plan to make Gemini cheat on chess skills and help GCP marketing!
The Dark History of the Information Age in Five Extraordinary Hacks
This approach characterizes a different type of uncertainty than BNNs do, and the approaches can be combined. The BNN tracks uncertainty about parameters in the NN, and mixture density nets track the noise distribution _conditional on knowing the parameters_.
https://archive.ph/2024.11.13-233829/https://www.lrb.co.uk/t...
“Satisfaction lies in the effort, not in the attainment. Full effort is full victory.”

Mahatma Gandhi
> But is there really no resources out there on how to polish?

I didn’t mean “how”, I was after the examples. As in: what code, hacks and optimizations, results in this particular polished experience.

Yes, it is hyper-specific to the project; but this particular project is hyper-generic. It could be a nice starting point for other experiments.
Yes indeed, that is the solution to modern IT problems - never update your Ubuntu 18 containers and you're set.

(Wish I was joking, but sadly I'm serious.)
https://archive.is/tLPXI
Also should be clarified that only vapors of gasoline can be ignited - it can't mix with oxygen in non-gas form.
Fun game, but I soft-locked myself https://imgur.com/a/DHDSzPW
Took a few tries to get there, but I don't think there's a way out
The NSA has definitely weakened or back-doored crypto. It’s not a conspiracy or even a secret! It was a matter of (public) law in the 90s, such as “export grade” crypto.

Most recently Dual_EC_DRBG was forced on American vendors by the NSA, but the backdoor private key was replaced by Chinese hackers in some Juniper devices and used by them to spy on westerners.

Look up phrase likes “nobody but us” (NOBUS), which is the aspirational goal of these approaches, but often fails, leaving everyone including Americans and their allies exposed.
Grasso the Yard Robot
I thought about something similar today. My kid (2.5 years) watches some stuff on Netflix which is translated to Swedish from English.
It's very obvious that the voice over and subtitles are done by different teams/companies, because they often mismatch.
What I find more interesting is how they differ, and it's related to the "slang vs academic" but it's about culture and context.
Stuff like word puns that doesn't work when translated directly, or named being "translated" in one but used directly in the other.
Honestly I think it's extremely lazy and cheap on Netflix' part, for adults it's one thing, but for kids it's pretty confusing. (My son is not reading the subtitles yet though)
BNNs certainly have their uses, but I think people in general found that it's a better use of compute to fit a larger model on more data than to try to squeeze more juice from a given small dataset + model. Usually there is more data available, it's just somewhat tangentially related. LLMs are the ultimate example of how training on tons of tangentially-related data can ultimately be worthwhile for almost any task.
> Native apps are better

Native operating systems are garbage at maintaining user privacy and become maintenance burdens when too many applications have been installed and even uninstalled on the machine.

While not perfect, a browser tab is a stronger sandbox than you can easily get in any other context.
If these devices (one day) can run on the same power as a solar powered calculator, it might be possible to place them in ambient light conditions.
> find me an "advanced amateur" (as the article says of the LLM's level) chess player who ever makes an illegal move

Without a board to look at, just with the same linear text input given in the prompt? I bet a lot of amateurs would not give you legal moves. No drawing or side piece of paper allowed.
Hakase would absolutely give Nano a demon core accessory which Nano would have to fuss about keeping properly seperated the whole day at school(Mai being the only one who can tell what it is, though not speaking up).

In the evening, Nano and Sakamoto-San would convince Hakase to defuse it, but in the last second Nano accidentally slips and the core goes supercritical with an enormous flash of blue light.

The light subsides, revealing it was just an elaborate device to make the perfect runny egg.

"The Shinonome household passed another peaceful day."
It wasn't until the 1930s that people realised second order logic with arithmetic will always lead to contradictions without guardrails. Before then all mathematics was done in the object language of whatever the field in question was and only translated to the meta language for succinctness after the fact.

The magic of modern maths is that we can now work only with the meta language and get results free from contradiction. For this we absolutely need a modern notation to do the new type of maths since we are no longer grounded by the reality of the object language.
I just start new chats whenever the chat gets long (in terms of number of tokens). It's kind of a pain to have to form a prompt that encapsulates enough context, but it has prevented me from hitting the Pro limit. Also, I include more questions and detail in each prompt.

Why does that work? Claude includes the entire chat with each new prompt you submit [0], and the limit is based on the number of tokens you've submitted. After not too many prompts, there can be 10k+ tokens in the chat (which are all submitted in each new prompt, quickly advancing towards the limit).

(I also have a chatGPT sub and I use that for many questions, especially now that it includes web search capabilities)

[0] https://support.anthropic.com/en/articles/8324991-about-clau...
> Those opaque tweaks that tank your business are the same ones that keep spam and SEO garbage down.

Um, except that they don't? We had entire articles detailing how "Forbes" dominates search rankings with SEO garbage.

Keeping SEO garbage down appears to be very straightforward. It's just incompatible with an ad-driven business model.
Agreed, I was surprised by it after I first have subscribed to Pro and had a not-that-long chat with it.
> What is illegal is for all the companies to get together and make a binding rule saying nobody can buy ads from someone. That is conspiracy.

IANAL, but that seems... incomplete. Conspiracy to what? A conspiracy-to-X involves an agreement between parties to commit an underlying act X that is itself already unlawful. The idea being that mutual agreements are enough to show you "started" to do X, instead of merely just thinking about it.

So the X here would have to be something else that's illegal on its own, or else the charge would be its own kind of thing like "anti-competitive practices."
While it's indeed too much boilerplate necessary for good DI, just the first paragraph sounds insane to me:
"Tempest features a unique concept called discovery. Tempest will scan your code and find out what to do with it: from controller routes to event handlers, from console commands to dependency initializers; Tempest will detect everything without you having to write a single line of configuration or bootstrap code."
Well, until it is, I'm not wasting a minute of my time on it.
Haha same https://imgur.com/a/DHDSzPW
AI, bots, and the constant need to fuel training, turns the internet forest into a place where anything a person publishes will be vampirically consumed, mimicked to see whether it can replicate whatever value could be had, and capitalized on if possible or ignored if not.

It’s an interesting contrast to actual dark forest theory—-AI doesn’t want to destroy us, so we don’t need to hide for existential sake. But imagine walking outside and as soon as you do, innumerable copies of you spring up, and each action and sound you make is replicated and amplified. Like a weird Phantom Tollbooth meets Alice in Wonderland on DMT
Claude also sometimes claims/claimed that it is ChatGPT or a model by OpenAI. Same with LLaMa. It's just polluated training data.
Usually true, too. Particularly new AAA games typically run noticeably better after the "day one" driver update.
The fraction of the world's population regularly consuming manufactured and packaged goods is also increasing. That increases discarded plastics and other materials.

About a decade ago I tracked down the somewhat provocative claim that contemporary New Yorkers (city, not state) produced less refuse, by mass, than those of the 1930s. My first thoughts were that total packaging weight and waste food might account for this, older packaging materials being more ecologically-friendly, but generally more massive: wood, glass, metal, etc., and refrigeration and food preservation less developed.

Good guesses, but wrong as it happens.

The culprit was coal ash, on the order of 40% of all rubbish by weight. It had been > 80% in 1900.

Building heat was supplied by boilers running on coal. That left a large quantity of fly ash as residue. As heating switched to natural gas and cogeneration steam from the 1950s through the 1960s, coal use was largely eliminated.

Former generations of New Yorkers would often refer to receptacles as ash cans, and they were traditionally made of galvanized steel, both useful when contents might contain glowing coals. As trash evolved to colder refuse, plastic bins or bags could be substituted. "[T]he New York City Sanitation Department began encouraging the use of plastic garbage bags in 1969." (<https://archive.nytimes.com/cityroom.blogs.nytimes.com/2007/...>)

Net non-coal refuse has increased, but the total, at least as of a decade ago, was still below the early-20th-century high point. Much of the current total however is plastics, and in particular disposable diapers.

I'd had additional sources on this at one point though I can't locate them presently.

This paper discusses composition and confirms the 40% & 80% figures above:

"How New York City Residents Diminished Trash", Paul E Waggoner and Jesse H. Ausubel, The Connecticut Agricultural Experiment Station, New Haven andRockefeller University, New York.
October 2003.

<https://phe.rockefeller.edu/wp-content/uploads/2019/09/NYTra...>

The NYT article above also confirms "ash cans".
There's a lot of thought that goes into things like the greebles on a spaceship, like the shape language, the values and hues, etc.

Impressionism might seem "random" like what a model would output, but the main difference is the human deciding how that "randomness" should look.

The details on a model generated art piece are meaningless to me, no one sat down and thought "the speckles here will have to be this value to ensure they don't distract from the rest of the piece."

That's more what I look at when I digest art, the small, intentional design choices of the person making it.
Previous:

https://news.ycombinator.com/item?id=33976954 - Dec 2022 (2 comments)

https://news.ycombinator.com/item?id=25177556 - Nov 2020 (2 comments)

Related:

He Always Had a Dark Side - https://news.ycombinator.com/item?id=11381625 - Mar 2016 (351 comments)

Reply All episode:

https://gimletmedia.com/shows/reply-all/dvhd9k/136-the-found...

The Mastermind:
A True Story of Murder, Empire, and a New Kind of Crime Lord By Evan Ratliff

https://www.penguinrandomhouse.com/books/549566/the-mastermi...

https://openlibrary.org/works/OL20162630W/The_Mastermind
Neither does OAI. Their service has been struggling for more than a week now. I guess everyone is scrambling after the new qwen models dropped and matched the current state of the art with open weights.
> the vast majority of people in the Soviet Union were very math literate

I doubt that.

> although indeed most became engineers

And that is demonstrably false.

Anyway, most of your argument boils down to: there's a bunch of people that can't do a certain task, there's a bunch that has mediocre skills, a few that are good, and a handful that's really good. There's no argument, just observation, not even related to effort, which is what this discussion is about.

And maths is no different from sports or music in that sense. Most people suck at math, and will always suck at it. The things described in the article are personal reflections of elite mathematicians. They have no bearing on development of knowledge and skills of us mortals, if only because those reflections have no truth value. It's all just "feel good" thoughts, no data, nothing provable, etc.

Yes, effort improves skill, but everyone has a limit, and the ones with the high limits we call talented.
Oh come on. I guess I missed the part in the "Turing test" where a human filters out 99.999% of the machine's output prior to the test.
Jay collaborated on multiple distinct proposals prior to Bluesky PBC, back when it was a community effort. I wouldn't suggest a lineage from that proposal and atproto.
The fact that there is a forward-looking subsection about “the vision for fault tolerance” (emphasis mine) almost entirely composed of empty words and concluding in “we are just starting this exciting journey, so stay tuned for what’s to come!” tells you “not close at all”.
The article is about enjoying the one more than the other.

The author plainly doesn't like ol' Musky, but there isn't really a winner vs loser distinction made in the article. To the extent there is, it gives the winner label to other services, not Bluesky.
Every source I've seen has explicitly stated that GARM was voluntary, not required of members.
Dostoevsky is funny, but his humour is very subtle and can be easily lost in translation. And being funny and dark are not mutually exclusive things, there is a whole genre of tragicomedies, after all
I don't think current UIs are better even if you leave aside the boredom factor. Flat, monochrome designs are terrible for usability as well as looks.
Agreed. AI art subtracts intentionality.
Skin care for programmers with Russinovich and Hanselman
I agree that priors over aspects of the world would be more useful, but I don't think that they're important in making natural intelligence powerful. In my experience, the important thing is to make your prior really broad, but containing all kinds of different hypotheses with different kinds of rich structure.

I claim that knowing a priori about things like agents and objects just doesn't save you all that much data, as long as you have the imagination to consider all structures at least that complex.
Then you're replicating and not error correcting. I've not seen any replication systems that use the replicas to detect errors. Even RAID 1 which is a pure mirroring solution only fetches one of the copies when reading & will ignore corruption on one of the disks unless you initiate a manual verification. There are technical reasons why that is related to read amplification as well as what it does to your storage cost.
Sitters and Standers
"The market" = facebook.
It shouldn't be a surprise.
Hopefully constructive: Touch controls. If finger is lifted off, even for a second, new "center" is registered, which makes it quite hard to control without looking where the"center" is. Nice soundtrack, quite relaxing.
Core problem solving skills. Debugging, triaging, fault-finding.

The thing that makes me a good programmer is my ability to consume a bunch of code, model the program in my head, and analyze likely faulting paths. The code is secondary. Your job as a programmer is to solve problems. Code is just the tool we use to implement the solution.

Instead of bashing your head into the keyboard until the bug goes away, take your time to actually understand the bug. Make an effort to grok as much of the program as you can. Draw flow charts and diagrams if you can't keep the model in your head.

A related point: understand what the machine is doing and how your code interacts with it. If you're aware of the physicality of the machine, you'll tend towards better and more optimal code.

Really you want to learn programming, and not code. Tinker with as many different languages as you can, but don't overly concern youself with advanced features. Learn how to walk into a codebase in an unfamiliar language and immediately start hacking. You'll eventually learn to see the program behind the code. To a good programmer, code is code is code, no matter the language. Really think deeply about the distinction between a program and the code. Again, code is just the tool we use to create a program.

Other than that, the single most useful thing you can learn is shell scripting. It cannot be overstated how important and useful bash and powershell scripts are. They are everywhere and most programmers have written countless shell scripts.

To sum up: learn the theory and philosophy of programming and computing. You have to build a deep understanding of programming in the abstract before you can apply code. You want to cultivate a talent for programming. Skills come after that, and you pick them up along the way. We are all constantly learning new skills, it's part of the job.

A painter does not master the art by studying brushes. A master understands art, composition, colors and can apply that understanding with a brush, pencil, pastel or any other tool. She does, of course, specialize in and deeply understands a small subset of those tools, but she can still produce masterworks with unfamiliar tools.

Learn the art, not the tool.
interesting! I haven't got much into blender, but sounds rather basic functionality. FWIW Maya has that since forever.
You'd want to factor in externalities as well, both on the extraction side (fossil fuels are phenomenally under-priced, likely by a factor of millions), and disposal (environmental impacts of discarded plastics and pollution during manufacture).
I really hope that means I can leave my joystick plugged in and my system will properly go to sleep now. That has to have been the most annoying Geforce Experience bug ever.
Duchamp rolling in his grave about this post!
Sure, that's why I wrote most microphones.

There are also some exotic principles like laser or radar microphones using interferometry.

https://en.m.wikipedia.org/wiki/Laser_microphone

https://ieeexplore.ieee.org/document/7808865
Honestly even if they are size of a jellybean, it would be a massive boon for space exploration. Just imagine sending them for reconnaissance work around the solar system to check out potential bodies to explore for bigger probes later down the track. Even to catch interesting objects suddenly appearing with minimal delay, like ʻOumuamua.
> If you are afraid of nuclear war, the thing to fear is a nuclear state's capacity to retaliate being questioned.

That's why nuclear capabilities and capacities are best reduced by universal compact. It is certainly not helping when they are being _enhanced.

Also, I'm worried about the US initiating more than I do about it retaliating.

> North Korea, the American interventions in the Middle East and Ukraine set the precedent that nuclear sovereignty is in a separate category from the treaty-enforced kind.

I don't understand this sentence because I'm not familiar with the combined term "nuclear sovereignty".

Regardless - it is certainly the case that non-proliferation won't be made on the back of aging and degrading weapons; there must a continued commitment to NP in the sense of not developing new weapons.

> One invites war by refusing to prepare for it.

https://en.wikipedia.org/wiki/Begging_the_question

Anyway, the US initiates most of its wars, so the "invitation" is irrelevant.