skysight-inc/HackerNews huggingface dataset:
People generally don't seem to be aware of Japan's economic state. Here are some relevant data:

Graph of Japanese Stock Market: https://www.macrotrends.net/2593/nikkei-225-index-historical...

Graph of Japan's Population: https://tradingeconomics.com/japan/population

Graph of Tokyo's Population: https://www.macrotrends.net/cities/21671/tokyo/population

Average Salary in Tokyo: https://www.timedoctor.com/blog/average-salary-in-japan/ (outdated exchange rate, yen has been collapsing)

In a nutshell: The Japanese economy was larger 33 years ago than it is today, the Japanese population is declining by the millions with even Tokyo now also seeing increasingly declining population, and the average salary in Tokyo is about $45,000. This can absolutely lead to low housing costs, but is probably not a model you want to emulate.
> Is it possible that Springsteen could have benefited from painting more of a target around some of those arrows?

The premise of this article is that Bruce "doubled-down" on his strength: song-writing. The life-lesson being that we should focus on our individual strengths instead of chasing someone else's strengths.

But I think Bruce just did his thing, and it happens to be that he was really-really good at it. I don't think he chose to focus on lyrics vs guitar skills or vocal skills. He just wrote songs and played guitar and sang --all to the best of his ability-- and it turned out that the sum of three was phenomenal.

The author is correct in his lesson. But Bruce is not an example of it. Instead, find a person who failed repeatedly while chasing something they were not great at, then found success after consciously switching gears and being more true to their own strengths.
For a long time I wondered where popular misconceptions about facts(usually historical) came from. Then I read about the history of the Encyclopedia Britannica and its checkered editorial history and realized I had found the cause: we relied a lot on truth-making authorities in the past, and they wrote in their biases.

So when we speak of intentional creation, we are in some ways looking a mode of truth reminiscent of Britannica: the world as someone experienced and described it, biases and all. Neither a sensory truth like "it feels cold today", nor an emergent collective belief like our rules of language.

What makes the LLM chatbot interesting is that it resembles a lens into collective belief; it starts with one bias, but you can tell it, "now explain it the way this other type of person would," and it will oblige you with its best in-character approximation, changing facts and details as well as aesthetics. It is capable of deep and radical changes to its output with minimal changes in prompting.

That's something that you could access in a limited sense with traditional PCG, but almost entirely in terms of mathematics operating on premade assets - fractals and chaos functions and so forth. Here you have a "fractal encyclopedia", working over an enormous reference library. It can, in fact, attempt to place every brush stroke "in the style of a Dutch master" if recursively prompted to do so, although in any existing implementation, you will run into technical limits with its dataset and working context. But if we look over towards diffusion model image generation, we know that that general idea does work - it's always a little less exact than the original human, but it can get us far past the uncanny valley.

And that's valuable because all the human creative stuff is built on references, too: original ideas emerge in one context, then get transferred to another. So there's a sense of, yes, you can definitely build a "make game" button here, and it'll be an approximation of a hypothetical human character that built the thing, but you can easily turn that output into a reference for something else that injects more bias and humanity into it or adds more structural rules to rigorously shape it. Often that's the actual path of creativity: make a longer pipeline of refinement with more layers to it, and you end up with an increased sense of transformative elements and intentional structure.
> Kindness and patience have always been in short supply

Agreed. Look at all the responses in this post attacking the author for how he learns, it's embarrassing to read. Now imagine that person is actually a teacher or TA, or worse a co-worker. I'd much rather deal with an imperfect ChatGPT session than that kind of flippancy.
we do have a bit of demand from the government in india

[1] https://www.tendertiger.com/TenderSearch.aspx?SerText=Simula...

[2] https://www.mod.gov.in/sites/default/files/RFP-TES-29-NOV-20...
I think financial abuse is an exaggeration, especially for PhD students who if they are doing things correctly should also be receiving an education as part of their compensation (something a good advisor has agency to control).

That said, I find it hard to believe you don't have constraints on what you can pay labor? Maybe it is field dependent, but the NIH sets some real low ball salary caps on how much postdocs (and other titles) can be paid with their grant money. So if you rely on this sort of government funding it is difficult to pay postdocs a fair wage for their experience and stage of life -- forget about it if you live in a particularly high CoL area, which NIH does not adequately account for.

So yeah, postdocs are taken advantage of in a lot of fields in a way that is (to some extent) beyond the control of the advisor. In a cheaper area it's not necessarily dire straights, but it is often a huge underpayment nonetheless. And if you talk to postdocs a lot of them are doing it because they're still chasing tenure track dreams that are not super likely.

At what point is it wrong to facilitate minor league baseball? I don't think there's an objective answer here, and obviously I don't blame people for trying to do their best as a PI. But I also don't think the OC's reaction to the situation is outside the realm of reasonable for an informed person.

As an aside, you're (unsurprisingly) kinda fucked if you wanted software to be part of your NIH-funded project, because they do not acknowledge the cost of hiring anyone with a remotely valuable skill set.
Yes. Human minds often craft sentences which contain words together which never occurred in the same sentence before, not even close:

> There was a boy called Eustace Clarence Scrubb, and he almost deserved it

> Everything starts somewhere, although many physicists disagree.

> It was a nice day. All the days had been nice. There had been rather more than seven of them so far, and rain hadn't been invented yet

> My father had a face that could stop a clock.

> It is important, when killing a nun, to ensure that you bring an army of sufficient size.

> In the myriadic year of our Lord—the ten thousandth year of the King Undying, the kindly Prince of Death!— Gideon Nav packed her sword, her shoes, and her dirty magazines, and she escaped from the House of the Ninth.

There's just no end to these.

And, of course, science is full of these too, one that jumps to mind is Shinichi Mochizuki's claimed proof of the ABC conjecture which has been proven flawed as it often happens but it was certainly a credible proof despite written in a language no mathematician have ever seen.
Wow, thats neat! Could you maybe share it? (Hate shopping! And wife tends to always add items in random order to shopping list so it takes ages)
The article mentions Tokyo in a footnote:

1 I’m limiting this to America because it’s approximately a self-contained housing market; I don’t think there are enough immigrants to really affect things. Thinking at a country level does make a difference - for example, I worry someone will bring up Tokyo as a counterexample. But I think Tokyo managed to build its way to low housing prices in the context of the rest of Japan also having good housing policy. Even if that isn’t true, Tokyo on its own is a quarter of the Japanese market, so it might be able to exhaust the entire pool of Japanese house-seekers by itself!
Is this also happens if you have no data?
Oh sure, do that. But don't forget that these kinds of articles are written by lucky people whose "targets" were of interest to others. Would you care if I told you I held a world record in the 98m sprint?

Embrace your weirdness, but unless you are lucky enough to have a weirdness that resonates with people, you are just an outcast.

Enjoy everything in moderation, including your qualities that may come off as unusual to others, whatever they may be.

You are probably an ordinary person. Chill out and just do your best.
This is not meant as a personal attack, but reading your comments in this thread, it leaves me with the impression that you may be suffering from paranoid schizophrenia.

A condition which, if remaining untreated, could eventually make you a danger to yourself and loved ones.
+1 Would be great if you can share the brand
Well, you wouldn't need to write whole new kernel/drivers/etc. to implement this design.
It’s like the Manhattan project. They built it and suddenly grew a conscience when they realized the US government was about to authorize melting hundreds of thousands of Japanese civilians.
You know its interesting that Greek uses adverbs with infinitives so often its almost impossible to avoid using the split-infinite when translating.
The last few recent VICE/Vice News clips I've watched on youtube seemed like the visual content was predominately AI-selected stock footage ~loosely related to the words being narrated.

Those instances basically were just audio narrations with borderline pointless visuals you may as well just be listening to. The narrator might be talking about a particular invasion of a specific country for instance, and the visuals are just showing some random war footage and you're left wondering if this is even from the present day let alone the right country/invasion etc. It's totally strange. Can't cost very much to produce though...
Hello fellow JMac-lover-and-programmer!
Absolutely. And they're here yesterday, shockingly effective to boot.
ComNetsEmu: An Open Source Testbed for Virtualized Communication Networks
I think you’re missing a trick here… given the risk of death it’s imperative that regardless of how weird the criteria get, if they have a meaningful impact on the risk of death it makes sense to seriously consider it in the selection process for the crew.

It’s not sexist or feminist or misandrist or anything of the sort of you have a big table of numbers and the summary is “risk of death by crew composition: 3 men %A; 2 man 1 women %B; 1 man 2 women %C; 3 women D%

If that table has D as the lowest number by more than a single percent or two then it just makes sense. Even if the average risk is 50% likelihood of death you’d want to pick the 48% risk crew composition regardless…

Or you would do the NASA Orion program thing and spend years overdeveloping your spacecraft to get you to under 10% chance of hardware failure being responsible without putting anywhere near as much money into studying if the Astronauts are going to stab each other or any of the many soft and or psychological risks that could result in death on a 2-4 year mission to mars… for which Orion is blatantly unsuitable if you ask me.
MacOS can do this, it is called stage manager.
https://support.apple.com/en-us/HT213315

I tried it, but it is just not there yet. My use case is switching between 3d cad design and printing apps (browser, slicer, notes) and between coding (jetbrains ide’s, terminal, browser, draw.io app)
> You think building more apartments in Cumberland, MD will increase prices, or decrease prices?

> So many of those buildings are empty.

> The answer is pretty obvious, here. Prices would likely drop.

If many of the existing buildings are sitting empty already, it sounds like there is far more supply of housing in this city than demand. So prices are already as low as they can go, since rent can't trend to zero.

So seem like building more housing there couldn't really drop the prices further.
Yes, I find it very plausible that a spud writing about Latin literature observes that rule.
I've gotten to the age where I want my software to remain the same. But instead it gets expanded, which makes my hardware feel slower and then I have a need to upgrade.

From a security point of view it's sad that that fixes & new software go hand-in-hand. There is no LTS iOS, or LTS Android available.

And then I have this brand new iPhone which isn't actually faster in browsing than a 5 year old one.

Windows suffers from the same. My laptop has gotten a LOT faster over time, yet sorting by CPU on task manager literally takes 3 seconds on Windows 11. Why?
I think this makes sense and my initial comment may have been incorrect. I guess the idea is something like:

- a general purpose API is insufficient for any particular application, each application will require a special-purpose API alongside the general API

- assuming that you are going to have an application-specific API, it makes sense that the application-specific API should serve data specifically-tailored to that application (in this case hypermedia)

That said, it seems like the most interesting discussion would be about the tradeoffs between the two-JSON-API solution that they reference and the one-JSON-API + one-HTML-API solution that they suggest.
The models, neural networks Professor Rudin is considering have a LOT of parameters, dimensions, neurons, neuron values, etc.

Okay. Since apparently no one has the explanations desired, we have to guess. So, let's do some guessing:

Given so many parameters, etc., we have in some sense -- in some case of geometry, spaces, maybe vector spaces, maybe as in linear algebra -- a lot of dimensions.

Then something surprising holds (once we get precise about a space, easy enough to prove): Given a sphere in the space, we can calculate its volume. We can do this for the space of any finite dimension. Here is the surprise: As we have a lot of dimensions, there is a LOT of volume in that sphere, and nearly all that volume is just inside the surface of that sphere. E.g., if do some work in nearest neighbors, discover this surprise in strong terms.

Net, in the space being considered, there is a LOT of volume. Then ...: There is plenty of volume to put faces of cats over here, dogs over there, men another place, women still well separated, essays on bone cancer far away, ..., for thousands, millions, ..., more things, thoughts, topics, etc. Then given some new data, say, a white cat not in the training data, likely the data on that white cat will settle on the volume with the cats instead of dogs, monkeys, etc. and, thus, we will have recognized a cat via some emergent functionality.

Just a guess.
REST with JQuery ;-)
Our discussion will continue as long as one side believes fair, realistic benchmarks are merely moving the goalposts. Your benchmark has a severe fundamental flaw, especially given the tiny reported runtimes. I hope you realize and fix it before other critics (perhaps more credible than an unknown forum contributor) begin to question your programming knowledge or fairness.
To address the matter, you must compile/write whole programs in each of the respective languages to enable full compiler/interpreter optimizations. If you use special routines (BLAS/LAPACK, ...), use them everywhere as the respective community does. Apples to Apples.
Unless something has changed I really wish Zig was open to SIMD intrinsics. Imo, if you're manually writing SIMD, you are doing complex performance-oriented programming and you really do end up needing to know what the instruction set you're using gives you for tools. Eg arm64 has pretty cool interlacing/deinterlacing which would be goofy to re-create on amd64 and there is subtlety to multiplication and lots of other things. SIMD instructions also sidestep lots of compiler-ey stuff like strict aliasing and types don't matter, sizes and lane positions do. It is an interesting beast.
Anyone interested in this will find Zecharia Sitchin's "Lost Realms" quite interesting book to read.
www.acxiom.com is being blocked by Lightswitch05 - Ads & Tracking, CAMELEON, 1Hosts (Lite) and 1Hosts (Pro).

NextDNS filter.
Listen to Wikipedia (2013)
Easy, specially if you compare his evolution as language designer in pursuit of minimalism, from his point of view both Xerox systems were too complex.

You can get hold of his opinion on this ACM session.

"Modula-2 and Oberon"

https://dl.acm.org/doi/10.1145/1238844.1238847

As nobody person in the world of computing, I don't agree with him though, I would rather have Active Oberon[0] than Oberon-07, his final language in pursuit of minimalism.

[0] - He did not took part in Active Oberon design and evolution, and it is closer to Modula-3 in features.
Location: India

Remote: Yes, full-remote

Willing to relocate: No

Technologies: Product Management, Growth Marketing

Résumé/CV: https://docs.google.com/document/d/151Mv6MtbXclnq3lKQb_goMUF...

LinkedIn: https://www.linkedin.com/in/rishabh16

Email: rishunk16@gmail.com

I'm available for up to 20 hours a week at this time, please reach out to rishunk16@gmail.com or rg@roasexpert.com.
> release radioactive waste

Well, BWRs and PWRs release Carbon-14 into the atmosphere where it is dwarfed by the Carbon-14 created by cosmic rays banging into Nitrogen ... and the total amount from both sources is truly tiny with a half life (of remaining in atmosphere) of 12 to 16 years.

The decay half life of Carbon-14 is almost 6,000 years .. ie: it decays slowly and the small amounts of Carbon-14 release even smaller amounts of ionising radiation due that slow decay.

Per human body Carbon-14 (mostly from cosmic ray interactions, magnitudes less from reactors) makes up a very very small part of regular mean environmental radiation per year per kilogram.

Source: a decade+ running numbers on global geophysical exploration surveys: background magnetics, radiation, gravity, etc instrumentation running 12/7/360 (daylight hours, all days of the week, little downtime) across multiple airframes.
Building an Intel 8008 Computer “Clock” (2006)
Sure, but how do you ship the aluminum ore to Bhutan?
I didn't understand how to interact with anything using Mercury OS. One of the first things I'll do today will be opening a terminal, git pull, then edit some files in my editor, start a Vagrant VM with Django, check the result. Nothing of what I saw on this site gives me an idea of how to do it.
They may be referring more to a theory of mind than a theory of neuro-physics. I trust the decisions and opinions of those whose reasoning capacities I trust. It's not enough to know what they decide, you must also know the set of choices in front of them at the time and their process for choosing one among them.
Transformers do not maintain hidden state between tokens. In this sense they cannot have an inner monologue.

If you force one to output only a single token, it is constrained to doing a single pass of each layer on the problem. If you encourage it to show its working, you are literally giving it more compute to throw at the problem as well as a scratchpad (its output) for a working memory.

These psychological-style experiments and the conclusions they draw are… I don’t know. Exhausting.
Yes. It's supposed to be burning up methane, which is a worse greenhouse gas, but the efficacy is in question. It's called "gas flaring" if you want to know more.
Geoffrey Hinton quits Google and warns over dangers of machine learning
Switzerland is barely a ninth of Germany‘s size in square meters and population. Plus, the whole German Intercity Rail System‘s north south axis goes through 2 choke points: Frankfurt and northern Bavaria.
I think this is on point, and also: an ordinary person is extreme, ie, there will be parameters outside the normal interval. This is because there are so many dimensions of personality, and the higher the number of dimensions, the more surface-to-volume you get for a given volume. So if personalities are sampled from a hypersphere, it is likely to get a point on the surface in the high dimensional case.
Your spectrogram looks elongated horizontally because the FFT window size is too large. I use window size 1024 with sample rate 48000 Hz, so one window covers 1024/48000=0.02 sec. This window size looks optimal in most cases: if you change it in my web app, you'll see that all other window sizes get the spectrogram blurry in different ways, but at 1024 it gets into focus.

Of course, don't forget the window function (Hann, or raised cosine), but it looks like you've got that covered because your spectrogram looks smooth.

The color palette looks good in your case. FWIW, my color function is like this: pow(fft_amp, 1.5) * rgb(9, 3, 1). The pow() part brightens the low/quiet amplitudes, and the (9,3,1) multiplier displays 10x wider amp range by mapping it to a visually long black->orange->yellow->white range of colors. Note, that I don't do log10 mapping of the amplitudes.
Most of the discussions about approaches are about shifting the locus of "common language" at a particular point between the producer and the consumer. The common language is basically a codified description of the data that is highly (ideally always) predictable, so that the producer and consumer both speak that language at all times at the boundary of information exchange between the 2 systems.

Something like RPC nudges towards the producer (or backend); graphql moves it to the consumer (or frontend).

A different way is to not look at this as a line of information flow between 2 points, by introducing a 3rd party, an impartial standards body. Maybe it's just a semantic or procedural difference, but when the locus is defined at the meta-architecture level there's no more room for discussion about exactly where you place the locus. Pay the vendor before you ship, or pay the courier when you receive? Neither: introduce an escrow.
As article says it just reiterates well known aspect of LLMs.

It is quite fundamental though.

Once those networks get efficient inner monologue built in it's going to be very hard to argue against them being conscious.

Once we see "Deep thinking networks", "Inner monologue is all you need" etc. articles - that's the true time to start to be scared of implications as they'll be extremely powerful and will be able to perfectly mimic humans.
In all seriousness, emacs is a good example of an environment where "apps" are less siloed and rigid than they are in a typical graphical OS environment. Another is the Unix shell. The idea of creating an environment that achieves the same level of flexibility and empowerment while being modern and graphical and, somehow, accessible to non-programmers… it's not a new idea, but it's a noble one. "Mercury OS" deserves points for at least trying to imagine how it could work, even if there's not much meat on the bone.
Regulatory Markets: The Future of AI Governance
But in the spirit of the parent article, it would be nicer if the os knew i wanted to do 3d cad printing and then organize my window with all cad/3d printing related modules. To let it create my perfect workflow because it gets my intents.

And when i switch from design to getting into the production stage, it should make the slicer module more prominent. Cad design usually are tweaks after this.
Obviously this is pure speculation, but I suspect it'll be a lot like cloning someone's voice. The first systems required the participant to read thousands of lines of text. Now you can do it over a phone call without the participant noticing that you're cloning their voice.
they're far from perfect, but are you saying you don't want recommendations at all? just want to blindly search for things you might find interesting?
Achieving More Realistic Deepfakes by Making the Image ‘Worse’
Ask HN: Why aren't Google Groups more popular
Hey guys, I'm wondering how many of you here use Google Groups actively. They seems like a great way to organize an online community. Is it just because people don't trust Google?
It is not only ungrammatical but impossible to split a Latin infinitive. Latin infinitives are a single word.