skysight-inc/HackerNews huggingface dataset:
Yes there is some truth to this. But I live in a State with very low cost of living compared to others. If I lived in Los Angeles on this income I might be in trouble.
ChatGPT/LLM is not the end all of AI.
Are you saying it never used to rain in February? That seems wildly inaccurate, it rains in Alaska year round..
Tigran Hamasyan is my tip of the day. Amazing jazz-armenian fusion!
130 comment discussion about a year ago:

https://news.ycombinator.com/item?id=33865672
There's a fair amount of skepticism towards the efficacy of RAG in these comments—often in contrast to simply using a model with a huge context window to analyze the corpus in one giant chunk. But that will not be a viable alternative in all use cases.

For example, one might need to analyze/search a very large corpus composed of many documents which, as a whole, is very unlikely to fit within any realistic context window. Or one might be constrained to only use local models and may not have access to models with these huge windows. Or both!

In cases like these, can anyone recommend a more promising approach than RAG?
Even when "export to SVG" is available, you often have problems if you can't force it to export (amusingly enough) fonts as vectors instead of referring to fonts by name, etc.

Makes the file larger, but makes it render (mostly) correctly on any system. There can still be discrepancies, however.
> If the type system complains of an issue in other code after a local change, doesn't that mean that the other code indeed needs updating

The problem is when it doesn't complain but instead infers some different type that happens to match.
I'm not an ML guy but does it actually matter that OpenAI doesn't disclose it's source? Who cares? They proved the transformer arch and everyone knows how to replicate what they did. That's pretty open. The sauce is the alignment and maybe that's what 'people' are mad about, I don't know.
Not really. I mean the point is that SoC and modern mobile/server architecture abstract away hardware which makes it so the OS is slowly getting enclaved and isolated from the hardware.

It didn't use to be this way, and pretending everything is the same is doing no one a service.
Whoosh!

The third quote is from the same exact same source as the parent article is from. If the third link is bullshit, the parent article is bullshit.

That's the point. You're making a motte and bailey argument. When people respond to a news media article with other past news media articles, people claim they aren't consensus science. Well neither is the parent article. The IPCC disagrees with the conclusions of the parent article.

If consensus science matters, then people should flag non-consensus science articles from the same popular press sources that have been wrong in the past over and over and over again, for longer than I, as an old person have been alive.

I'm tired of the bullshit and the only thing I trust about the news media is that they are lying to me.
But I also named myself after a cuddly little creature!
If you consider lots of features that don't work "complete" then I guess
No, they cannot. DIN e.V. also gets money from selling norms and other stuff, in fact almost 60%:

https://www.din.de/de/din-und-seine-partner/din-e-v/finanzie...
Ollama added support for StarCoder2 and DolphinCoder
https://www.eastwind.org/ is just a few miles from me. It's quite successful, they even operate a business that grosses ~$2M/year and they provide their members with health insurance. I'm not keen on giving up my possessions to join the collective but I can think of a lot of worse ways to live.

Most definitely not a failure.
> I don't wanna work to give almost 50% to King Charles, I prefer living in a beautiful condo in Panama and cash everything.

I think that's fair. I wouldn't fault you for that. My counter argument would be that this 50% of your income won't go to Charles, but it will go to all of the social services we have in our country. Those aren't cheap. If you don't want that, sure. But i think it would be wrong if we would then let you live + work here and give you a tax break.
So can a pen or any other tool of artistic expression.
There is no way OpenAI could have raised $10B as a non-profit.
In a dark sense, yeah. It's a dark world.
The messaging around AI seems generally very negative to anyone without considerable capital. The idea it can complete lots of tasks that people do to pay their bills doesn't really encourage trust. The two extremes seem to be "it's a fad" or "it is exceptional and will put you out of a job". Neither encourages trust.
It is simply not possible nor worth the effort. Beware of people who want to sell you snake oil, which are aplenty in the AI business.

The thing is, as far as I can tell, most cases of generative models reproducing something 1:1 was something which was very likely to occur many times in the dataset, like stock images or passages from well-known newspapers.

Technically - the image generation models are already trained as denoisers and so you can't effectively thwart them without compromising perceptual quality of protected media. "Protection" presented so far relied on some quirks of particular architectures which aren't bound to occur in newer releases.
Yes, 1985 was really too late for CP/M. Even Kaypro (the last surviving major CP/M machine vendor) had seen the writing on the wall and began to sell MS-DOS machines by then. Still, I was still using CP/M occasionally on my Apple II clone with a Z80 card, mostly for running early versions of Turbo Pascal (which was released for CP/M but never the Apple II natively).
Its certainly up for debate and there is a lot of nuance. I think it can simplify the system's architecture quite a bit of all the consumers of data do not need to keep track of which transformer model to use. After all, once the embeddings are first derived from the source data, any subsequent search query will need to use the same transformer model that created the embeddings in the first place.

I think the same problem exists with classical/supervised machine learning. Most model's features went through some sort of transformation, and when its time to call the model for inference those same transformations will need to happen again.
Well it's not surprising.
His 'stans and TLSA uber-bulls insist Tesla is no longer a car company but an AI one. So they probably don't care anymore.

I know some uber-bulls have long insisted Tesla stop selling cars to the public so they can be horded for the imminent Robotaxi fleet that will soon be deployed en masse by 2020.
The really depressing thing is that the board anticipated exactly this type of outcome when they were going "capped profit" and deliberately restructured the company with the specific goal of preventing this from happening... yet here we are.

It's difficult to walk away without concluding that "profit secondary" companies are fundamentally incompatible with VC funding. Would that be a pessimistic take? Are there better models left to try? Or is it perhaps the case that OpenAI simply grew too quickly for any number of safeguards to be properly effective?
What if startups had a default expiration date?
Apple seems to be bouncing plans off the EU to see what sticks, so maybe they’ll add some special way to prove you are an EU citizen outside the EU, or something like that.
i understand your confusion, because there are many different axes of performance in play here

vector graphics will almost always be smaller than raster graphics as long as what you're displaying can be represented in a vector format at all. the only exception is when your vector graphic contains more detail than your display resolution can render. consequently, virtually every graphics application of electronics was done first with vector graphics and only later with raster graphics. the only exception i can think of is television. but radar, cad, guis, fonts, video games, first-person shooters, computerized typesetting, pretty much everything was done first with vector graphics and only later with raster graphics

however, when you're rendering to a raster display, raster graphics are always faster unless a bandwidth constraint bites you. the last step in rendering vector graphics is to copy the rendered image into the framebuffer, which is the only step in rendering raster graphics. (of course, arbitrary decompression can be arbitrarily slow; png is as fast as gif, while jpeg is much slower, and jpeg 2000 is slower still. it's easy for a vector format to be faster than jpeg 2000 and in many cases even jpeg.)

your historical accounts are a bit wrong. naplps and ripscrip never achieved significant adoption because gif was already widespread, and people used plenty of raster graphics in flash

the bigger issue is that when you don't control the renderer, vector graphics are not only slower (which is often no obstacle to interactive use now that our personal computers run ten billion instructions per second instead of one million like when ripscrip was launched) but also more unpredictable in speed. an svg that one renderer handles fine may bog down another one. generally speaking that isn't a problem with raster formats, not for any deep theoretical reason but just because they're simpler

i do agree that vector rendering is the more efficient option for many practical use cases, though
The other comment mentioned how google didn't even acknowledge why they did it.

I have to say, talking to AWS and GCP, the AWS marketing, onboarding, and support arm are far far far far far superior to google's. In fact they are so far apart that our management has blatantly discarded google as even an option for moving our infra over because of how terrible our interactions have been. I'm all for de-throning the king, but it ain't gonna be done by the court jester.

In any case, point is, AWS has good strategy where it matters most.
Am I missing it or is there no link to the source research? I'm curious about the information they presented and have questions.

What do they consider an AI company? What industries are surpassing tech in trust?
worst name since "Office in a rack(TM)" ("I don't want no office in Iraq, son").

Well, actually, for French speaking people, I guess "systemd" is worse.
Just going to be honest here:

“Zero complexity print to the screen”

Is, quite possibly, the dumbest argument people make in favour of one language over another.

For experienced people, a cursory glance at the definitions should be enough. For new programmers, ignoring that part “for now” is perfectly fine. So to is “most programming languages, even low level ones, have a runtime that you need to provide an entry point to your program. In Java, that is public static void main. We will go over the individual aspect of this later. ”. This really is not that difficult, even for beginners.

Personally, I find more “cognitive load” in there not being an explicit entry point. I find learning things difficult when you’re just telling me extremely high level *isms.
Advice to Young People, the Lies I Tell Myself
Canadian Mortgage Delinquencies Surge, Up 135% in Ontario
Western Europe, and especially Western Germany, benefited immensely from the Marshall plan. And economic freedom, the early days of what would become the EU and so on. And still, the USSR competed, successfully in the for them relevant fields of sciences and military. And their country didn't collapse doing so. Neither did it collapse immediately after loosing its competitiveness, that took until 1989.

Worth pointing out, Germany outpaced the European allied nations economically pretty quickly, as did Japan.

Being competitive for decades, and the most part of the Cold War, surely is no fluke. In the end, capitalism won out, no doubt about it. Also worth pointing out, capitalism does not lead to freedom, China is a very good example of that.

By the way China, they became the economic power house in the early 2000s. Is the Chinese system a fluke?
neither of the big cloud models have any fucking guardrails against generating spam. I'd venture to guess that 99% of spam is either gpt3.5 (which is better, cheaper and easier to use than any local model) or gpt4 with scrapped keys or funded by stolen credit cards.

you have no evidence whatsoever that llama models are being used for that purpose. meanwhile, twitter is full of bots posting GPT refusals.
You're not going to find many good critiques of the empire from within the empire.
They also killed the forwarding of SMS years ago, so when you get an SMS you have to get it through the Voice app
It's True! Type has become easier with a Computer - Modern systems can do amazing things compared to the Typewriter of the past, but we need to get with the Times and work for a Bold Futura.
> showed logs as a tree.

Yes, that is exactly what I want as well - a tree-like structure where you can trace events across multiple layers of abstraction as well as across systems (so both horizontal and vertical relations of events, so to speak).

Some infra systems output syslog loglines and there's no changing that, and I still want to capture and relate these log messages to other events (incl. high-level business transactions / processes).

Any way you could share your PoC? :) very interested.
Election 2024: Results are in–see votes from across San Francisco
FCC page with updates rather than this jumbled article of every other word linked:

https://www.fcc.gov/acp

Why none of their releases are in HTML I have no idea

https://www.fcc.gov/document/fcc-issues-formal-notice-april-...
FYI HN ate the unicode glyphs you used for adele and the superscript 3.

Also, yes I could have said "real algebraic" to be more clear. But no one says "real rational" or "real integer" when that's what they mean :-)

And in the 2D plane, you can usually cast a subspace of 2D reals as a subspace of 1-cooridinate complex numbers.
Just to congratulate you on going open source.
I have nothing but high hopes and expectations for you folks.
When we built Kitemaker [0] we elected to not use CRDTs. We built our sync engine after reading the blog article Figma wrote about they didn't need CRDTs because they have the server arbitrating any conflicts. We ended up taking the same approach. It's worked out very well for us though in a tool like our "last one in wins" generally works fine and doesn't lead to a lot of surprises.

For documents, we had to do something more sophisticated. At the time we built our collaborative text editing, the prevailing opinions were that CRDTs were inferior for text editing so we ended up going with Operational Transforms. That took a LOT of work to get right and is still problematic from time to time. If we had it to do all over again now, we'd definitely challenge that decision (and may do so in the future anyway even though we have a system that works).

0: https://kitemaker.co
you mean subpixel antialiasing. but yes, as it turns out, type renderers do cache subpixel-antialiased pixmaps. the part where this gets tricky is with subpixel positioning of the antialiased letterforms, but you can cache them in that case too if you quantize the positioning, even if you don't quantize it to entire pixels
1 - olpc / Sugar isn't a Chromebook at all, it's a learning OS meant for builders first, consumers second

2 - olpc was as much about making computing hardware cheaply and as accessible as possible to communities that didn't have any access to reliable electricity, let alone computers. Hence the built in hand crank

3 - to my knowledge, olpc distributed globally, but hardly addressed US or EU countries at all, so I'm not sure what you mean by "is this normal in other countries."
Optimus or Figure?
Humanoid robots are a new category. In my opinion, Optimus and Figure are the most interesting. Is there anyone with a robotics background who could help us understand the field?

- Tech. Basic technical differences?

- Marketing. What are the marketing strategies?

- Target. What are the Target Groups for each one?
How did they structure it to prevent this? Is it in the statutes of the company or smth?
Isn't "give it a big chunk" just the same problem at a higher level? How do you handle, say, a book?
that's illegal in the US, if they're doing that in the US report them. That stopped being legal in the late 90's.
i was appalled to discover yesterday that when i did a simple plot in matplotlib the resulting svg was mostly letterforms for deja vu sans expressed as svg paths

at least it did subset the font
bullfrogs want wings, so they don't bump they little butts when they hop.

I find it interesting that seemingly the same people willing to embrace "When buying isn't owning, copying isn't stealing" approaches to Intellectual Property are worried about protecting their IP from AI.

Right now "AI" is pretty much "Big Tech / Big Media" bad guys, sure. Anyone suspect that's the way it stays? "Model training is too expensive" so no one will have home built or shared, sharded, federated public model building?

Certainly not, if there's no legal way to train without massive involvement in the universe of IP law.

Will "publication" come to mean more than "performance" and include some compulsory licensing scheme? Will we need to pin flags to our lapels so that everyone can know the legal status of our every utterance?
A better, more practical approach would be to making paying any sort of ransom or extortion a federal crime. Then no sane corporate manager will risk a felony conviction and prison by authorizing payment, regardless of whether it's done in cryptocurrency or some other store of value.

I understand that this could lead to business bankruptcies, job losses, and severe impacts on customers. That is acceptable collateral damage to prevent additional funds from reaching organized crime and terrorist groups.
Well our monetary system is based on a few assumptions that are important here.

One is that a "healthy" level of inflation at 2-3% per year is needed.

Another is that our money supply is based on debt, meaning that growing the money supply (the original definition of inflation) requires new debt to be created faster them existing debt is paid off.

We can't have 2-3% inflation without creating more debt. Consumer debt is one of the forms of debt that creates new money, so I think its safe to assume we need that debt to be growing at a similar pace to keep up. If consumer debt disappeared entirely we would still need other forms of debt to pick up the slack, meaning on average we would still have the same level of debt per person to keep the system afloat.
I confess I've never used this in a situation where time complexity was at all relevant. For one thing, it is possible that a result only needs to be computed once for each N (and per shape, since this approach works on a wider range of shapes than just spheres).
The font history is missing Intellifont (1987) which nobody seems to use any more.
So in python, you need to understand not 1, but at least 3 different versions of “an entry point”, and to you, this is “less cognitive load”?

I had the same issue with Swift. There’s 30 ways to write the exact same line of code, all created by various levels of syntax sugar. Very annoying to read, and even more annoying because engaging different levels of sugar can engage different rulesets.
Microsoft becomes largest company with $3T valuation
100% with you on Jaynes and Barbour.

Jaynes' book is a game changer, but I particularly love that you mentioned Barbour and his work.

On Barbour's work: Apart from being an incredibly interesting book, I was amazed that he was a sort of "outsider" writing papers and books "on his own" (or at least outside of Academia) while making money through technical translations is just a really clever way to be able to explore any interesting avenues one might find. Einstein had the right idea too...

(Sadly, it's also something that wouldn't be as feasible nowadays, but who knows...)
you sound inconsolata
But isn't this the way everything seems to come nowadays? Couple years ago everything was built on a blockchain, years before everything was going microservices, earlier everything was moving to the cloud... while every fad had its merits and is here to stay, none of them lived to the level of hype in which they came wrapped up - and rightly so.

Edit: one example being the touted IBM-Maersk blockchain solution, ground-breaking as it was in 2021 then quietly retired in 2022.
This is mostly about the tech companies behind AI. I'm honestly shocked the level of trust isn't lower. The company that was formed to be the face of responsible AI is visibly making a slow-motion heel turn. For every other (major) company developing its own AI models, the default position should already be distrust, based on their history.
[dupe]

https://news.ycombinator.com/item?id=39611484
It is hard to understand because often those laws are contradictory (the US first and second amendment rights contradict the laws of many countries).

It also doesn’t make sense in relation to how courts work practically; courts enforce your rights by punishing entities that violate them. If the local court doesn’t care about your rights from your other countries, and a local entity violates them, in what sense do you practically have those rights?
If you have too many samples to send down the wire, but DO have enough CPU left to do the math... just sum the samples to bin them before sending them down the wire, you'll lower the sample rate, and slightly improve the signal to noise ratio in the process (while also low pass filtering it)
Nah, basically every other social type thing got screwed by FB convincing everyone that MAU's (i.e. the metric FB looked best on) was the right metric, when it clearly wasn't.

Like, LinkedIn only needs MAUs who are trying to sell something or looking for a job, they 100% don't need people to log in every day (as their ads business is only a small proportion of revenue).
Swifts enums can be recursive though as can rusts
Interesting, but the intent seems similar to Chris Lattner's new Mojo language which arguably has similar characteristics and is further along in its development.

https://docs.modular.com/mojo/
I'm interested in entirely private, self-hosted web crawlers. The sort of instance you could set up on a $12/yr VPS to provide search results for small, specific portions of the web that you wouldn't get rich details from Google, Bing, et al. Personally curated search.

I don't know of anyone who does this well, unfortunately.

As much as I appreciate what Kagi is trying to do, I don't think I necessarily want a replacement for Google. Or if I did, it would have been Google from the 2000s.

I want something different and better.
[dupe]

More discussion on official post: https://news.ycombinator.com/item?id=39607079
> I know it sounds nitpicky, but to me all keywords should be obviously pronounceable, so something like "func" instead of "fn" would be mandatory.

Keywords only? How about function names like strspn or sbrk? And how do you feel about assembly language, using mnemonics like fsqrt or pcmpeqd?

BTW, thinking about it, I notice, that I need all these lexemes to be pronounceable too, and I have my ways to pronounce sbrk or pcmpeqd. Probably if I do it aloud no one will understand me, but it doesn't matter because these pronunciations are for internal use only.
When you don't have connections, lying is the best advice to get the good jobs. I just lie about anything I know I can learn on the job. No experience with Vue but know React? No problem, I'm a Vue expert. No experience with with C# but know Java? No problem, I know C# by heart.

Once I get pass HR and get to talk to an actual engineer I can reevaluate my lies and drive the interview into the areas I'm actually experienced with.

Also, interviewing is a game. Even if I'm not looking for a new job I just do it to practice and for fun. It feels pretty good to reject an offer and know your worth.
I didn't intend to be controversial when I posted my comment. To not risk inflaming matters further I'll refrain from commenting on your points.

(I cannot recall having so many down-votes in such quick succession on HN previously. Although unintended, I've clearly struck a nerve or two.)