skysight-inc/HackerNews huggingface dataset:
Anyone else worried that accidentally causing the bot to say something "unsafe" will result in a zero recourse google account ban?
Even a 5 year old knows that there's a significant difference between price controls in a supply-constrained market and price controls in a supply-unconstrained market, and that it's intellectually inappropriate to gloss over that difference, and pretend that bank loans that print money up out of thin air are the same thing as, say, automobiles and frozen orange juice.
> I do not believe what I've stated in this thread is wrong.

I was asking for an example of what you meant, and why you thought is particularly relevant to mention this about Musk, as I can't see how Musk stands out on this topic compared to any other big company CEO.

That isn't a right-or-wrong.

How this is tied to cancel culture is beyond me. You're talking about BBC writer who's being cancelled by a wave of hate, right?
"people who never lived under commie regime" - I get to hear this so often. We live in under a capitalist regime where 1% of the people own the rest of the population. Basic human needs like healthcare and shelter are paywalled by big corporations. Do you sincerely think wasting your life to make those 1% even more richer is somehow better than communism?

Btw, I didn't even claim that communism is the best way forward, you just assumed it. I would rather advocate for socialism which has better chances to succeed in US. Still, the moment we wave off 10k from student loans people start shouting "communism". Those same people got millions of dollars in PPP loans, still fired their employees and saw nothing wrong with it.

The main context here was about unions and people still cry "communism" whenever they hear the word union. I have seen immense benefits of unions from past generation and feel sad that they are not as prevalent today. "United we bargain, divided we beg" is the whole point of unions and still people choose to beg because "big bad communism". This propaganda has been enforced on us so much by govt that we forget what's good for us and that makes me sad.
That's possible partly because the Java GC featureset is nearly a superset of what other GC runtimes offer, and partly because Truffle/Graal integrate deeply with the JVM compilers for things like barriers.
It took about 20 minutes to get off the waitlist for this (US Based). Initial impressions are that it significantly lags behind the OpenAI offerings.

Creativity (storytelling) is very limited, response lengths are similar, and it does occasionally cite sources.

They did finally get the James Webb telescope facts correct too!
This is what happens when humans are injected with the drug of "righteousness". They believe that anything they do is good and anything their opponents do, and they become insulated in that.

Who watches the watchmen?
To be fair, the beta, invite-only status of GMail was, at the time, the definition of Internet Cool.
Bing Image Creator
One thing that disturbs me is the push to censor the AI output.

Photoshop is used to produce a ton of porn, but Adobe doesn’t try to stop that.

In terms of “safety”, models Photoshopped to impossible standards have helped create impossible beauty standards causing depression and even life threatening eating disorders in teenage girls.

Yet, Adobe and all the others will carefully censor the output of these generative models.
The types of posts I see are more of the "Use ChatGPT to do X", and those should be limited to maybe 2-3 a week, if that's even possible.
Can’t speak for anyone else, but I hope for the entire companies demise, as I do for any ad tech surveillance operation.
And that’s exactly the problem - risk does not confer inherent value. The employees are also taking on significant risk - clearly, if things go even slightly south for investors, they fire the employees first!
I'm curious for those who have actually tried it, what they think of the performance. A lot of the threads here are just talking about the country-limited rollout.
Yeah, but they don’t benefit from public health services, since they can pay for a private insurance with a higher quality of services. They don’t benefit from social benefits, since they have much more efficient ways of making money. They don’t benefit from public schools personally, since they can send their children to private schools. So if I were to go with the reasoning that people should pay for received services proportionally to the benefit they get from them, I don’t think we’d end up with a system where the rich support the poor better. That’s all because the needs of the poor are very different from the needs of the rich.
I'm assuming you base this on hard empirical data and not just that it feels like it when you use it? ;)
A lot of paid Wi-Fi hotspots allow DNS traffic through unmolested, that's a similar loophole
What's even more interesting, I gave GPT-4 a follow-up instruction:

> Please provide a single mathematical equation that could be used to solve this problem.

And it gave me the following answer:

> Sure, let's represent the required inventory as I, the desired annual revenue as R, the markup factor as M, and the inventory turnover as T. We can create a single equation to solve this problem:

> I = (R / M) / T

> In this problem, R = $3,000,000, M = 4, and T = 1.5. Plugging these values into the equation will give you the required inventory (I).

To me that a language model can do this is simply mind-blowing.
I found the little sketch-to-vector-variations part interesting and surprising- this is something that is solidly not done via a diffusion model unlike everything else shown. Although I note it says "We plan to build this into Firefly" implying that... this isn't something already finished.
The high compute costs for training and legacy software foothold seems that it may encourage rent seeking in the big tech companies. I hope the huge costs and compute demands won't only enrich the big tech companies that can afford to run the models on heavy duty hardware. If it does,
it will potentially lead to the rich companies, individuals, and persons greatly outpacing their peers.
I don't see how this is an improvement over MCC in this example, since in this case, unless I'm mistaken, MCC would hypothetically give the same (perfect) value to both x-rays, just as Jaccard would.
I wonder about how companies are approaching letting their customers understand what is and isn't copyrightable with the results of these ai models.

The us copyright office has made it clear that elements of designs that lack human authorship cannot be copyrighted. A prompt is not enough - the same way if you provided a prompt to an artist while commissioning a work does not grant you copyright to that work. The results (including specific elements) of these ai models cannot be copyrighted which has extreme implications to commerical art in general. If you have your ai models come up with a character you cannot claim copyright of that character. If your ai models comes up with a composition you cannot claim copyright on that composition.

If you use the ai to generate an idea and then have a human develop the idea, the elements of the design that the ai came up with cannot be copyrighted because they lack human authorship.

Commercial operations that care about ip beware.
In Adobe's case, it absolutely makes sense it would be a feature of Photoshop, Illustrator, and Premiere. They've been adding various "smart" masking features and the like over time already.
This should automatically qualify one to lose their internet privileges. Not just the fact that you did it, but your cavalier attitude towards it with the lack of regret for having done it
It's a niche platform where subscribers/members post listings where other members respond to. The listings are public and indexed by Google, new customer acquisition is driven by organic trafic and word of mouth.
> anyone (that was wealthy enough) could take their $100k and borrow an additional $X00k they used to purchase assets

Do wealthy borrow money to purchase perishable food?

We've been through this, we've printed money in 2008 and food prices did not increase.

You cant blame every economic problem on money supply
How long will this be in Beta for? 10 years?
Or want to have/generate one.

What I mean is, HN is a place where people keep good ideas to themselves in the hopes of launching a business on its back. It's a hustling/entepreneurship community, not a "let's build stuff" one, like, say, the Open Source communities. Collaboration has an opportunity cost around these parts.
> Personally I’m quite satisfied with it, it takes a decent understanding of semver to produce a case this finely balanced on the edge of two technicalities, which gives me the impression of being playful with semver rather than disrespecting, or being unaware of, semver. YMMV

What?

> > We decided it was about time to reset the minor number down to more a manageable level and doing it exactly on curl’s 25th birthday made it extra fun. There is no API nor ABI break in this version.

Intentions-wise this has nothing to do with the Venerable SemVer.
I was very curious and checked with this string, "eeeeeeggeeeee", which should be tokenized as [eeee][ee][g][ge][eeee]. Both GPT3.5 and GPT4 gave me "egg", which is a single token.
Same. Although I had long ago decided that an academic career wasn't for me, I was always thinking that after I finish my PhD (computational condensed matter physics), I would somewhat keep up with my field just for fun. But between kids, work, other hobbies etc. I never really had the time nor energy to do that. So while I'm somewhat confident I could relatively quickly relearn much of what I have forgotten, it also feels that world is slipping further and further away for each moment. Not that I really dwell over it, there's a lot of interesting things in life and so little time, you can't just do everything.

I don't really miss lunch table discussions though. Typically if it's by members of the general public, they're sprouting some misunderstanding based on some magazine article they read, written by some journalist who didn't really grok the topic either, and I can't just be arsed to start lecturing people how it's not that simple and their understanding is all wrong. More agreeable to just talk about football, beer, or the weather. Or if it's a lunch table discussion between experts, then it's usually about some minute detail of their particular expertise and you need to be pretty knowledgeable about that particular subtopic in order to be able to contribute.
Imagine paying for Adobe products.

I did that once. Never again. What a shit company. Cancelling the subscription was a total drag. Fuck you Adobe, I hope you go bankrupt sooner rather than later.
I think people are tired of Google and want something else.
The thing is that "the Twitter Files" just... broadly aren't interesting.

It's just a bunch of stuff that was already known or internal conversations that don't shift the needle one way or the other. "Social media company has discussion about how to apply moderation practices" isn't news unless you're looking to make a quick buck of pretending that it is. (Especially if you can frame it in such a way that whatever camp you belong to is being silenced and censored.) Neither are things like algorithmic deprioritization or shadowbanning. These are bog-standard moderation tools. It's well... not news. There's nothing to report there unless you want the report to be "social media company does what every other social media company does, more at 11".

Twitter has always been transparent about government requests, they literally have a site dedicated to listing that[0]. It used to be updated every year but ironically 2022 data isn't available because I guess Musk fired everyone involved with it/didn't think it is a priority to keep updated (ironic given the supposed claims of the Twitter Files.)

The closest thing I ever saw to something being interesting is that certain accounts have immunity against Twitters regular flagging system, instead being marked with "only let the higher-ups make decisions".

I think there's an interesting discussion to be had about how fame apparently gives you the option to break most rules on a social media site unless blowback becomes so significant that the upper management decided you're not worth the trouble, but that's not the discussion that's being held. (This is, if I had to guess, entirely because of the significant overlap between "famous person who thinks Twitter Files matter" and "famous person with immunity against the rules", but I admit that that is just a guess.)

[0]: https://transparency.twitter.com/en/reports/information-requ...
No, that was LaMDA. https://cajundiscordian.medium.com/is-lamda-sentient-an-inte...
It's currently unknown, but copyright law is really political in nature and companies are hopping on using AI like crazy and delivering real value so my expectation is that it will be granted fair use for no philosophical reason but because US legislators don't want to put their boot-heel on American business.

Because if they stifle this is will basically cement China is the world's AI powerhouse who will give zero shits about copyright.

This is gonna be interesting times for copyright because this is the first time copyrighted works are actually useful in building tools. I think it's a very neat real-world example of how universities are actually right to make engineers take humanities courses because your code writing AI is actually better for having read Vonnegut.
I don't believe that AI models can become introspective without such a capability either being explicitly designed in (difficult, since we don't really know how our own brains accomplish this feat and we don't have any other examples to crib) or being implicitly trained in (difficult, because the random person on fiverr.com rating a given output during training doesn't really know much of anything about the model's internal state and therefore cannot rate the output based on how introspective it actually is; moreover, extracting information about a model's actual internal state in some manner humans can understand is an active area of research, which is to say we don't really know how to do this, and so we couldn't provide enough feedback to train the ability to introspect even if we were trying to).

I have no doubt that both these research areas can be improved on and that eventually either or both problems will be solved. However, the current generation of chatbots is not even trying for this.
The air in a sealed box acts as a resistance to the woofer. It will stop earlier than in a ported design, after being moved by the amp.
Those are just like (almost) all books. "Proper" typesetting like LaTeX does seems to only be a thing in a very small subset.
Almost certainly true but they'd have to use a new cost function. It's not just about collecting examples where the model should say "I don't know".
I created a Google Sheet that features 30 B2B SaaS companies that have recently launched or announced generative AI products or integrations.
Prior versions did not get their version bumped...
An item that costs $1, costs $2 when you double the amount money for the same amount of assets.

This is a common misconception. One big reason it's not true is because the vast majority of the wealth in the economy is stored in assets other than money (real property, stock, bonds, etc.), so doubling the money supply is very different from doubling the amount of wealth everyone has.

Now I imagine some might still be skeptical, but luckily this has been studied, and there are metrics like M2 that represent money supply. If you look at a graph of M2 vs inflation, they look pretty independent, and indeed studies have failed to find any statistically significant correlation between the two.
> won't save the poor saps that were too slow moving their money

This fear is unfounded. Depositors were bailed out. (That said, yes, utilising the bank’s sweep feature would be wise. As would having a second bank account.)
>Where do you get off?

Next stop. Or you can drop me just by the shops here, if you want.
And what does a parameter mean in this context?
A Vision for Nostr
Low. The likelihood is low.

Even the government is more willing to fight inflation by harming workers than a company's profits.

We'd need more unions - groups with some power over companies who will speak for worker's rights. And while they are starting to proliferate after decades of FUD, their power is also being cut off at the knees by laws that prevent strikes.

It's critical that the jobs be filled, yet those who fill those jobs have no power.
Agreed. And if I spot a way to kick it on its way down, I will.
I'm sure that there will be no negative repercussions from this, and that Iraqis will want to emulate everything about the USA. /s
Finally a big player is talking about image to vector using generative AI. This will make the lives of graphic designers so much better. No reason that humans will continue to trace images in this day and age
Can I be part of the delegation that will be discussing the formation of a committee to institute the process of allowing people to sign up to be waitlisted for the consideration for the opportunity to potentially begin to start seeing how to use Bard?
This article is my personal attempt to demystifying crypto and stock for the everyday user
I haven't looked for stuff from the last 20 years but I will ask around. I've got a book at home that you could figure out the bit about the Toda lattice if you read between the lines and I will look it up this evening.

A few extra points:

(1) People don't get academic credit for improving the exposition of things, only for making discoveries that are "new"

(2) You often see Poincare sections with anomalies such as tori that are folded over, the problem here is that the energy surface is not flat but has a topology like a sphere or toroid so you see strange things when you project these, I found in some cases you could make a three-dimensional visualization of the energy surface and draw the Poincare section on that and it would be more clear what was going on.

(3) The KAM theorem is stronger with N=2 oscillators (two q and two p coordinates) than it is with N>2 oscillators. With N=2 the tori are solid walls that constrain chaotic motion whereas with N>3 they don't have enough dimensions to really hold the trajectories inside so there are probably trajectories that go from one regular area to a chaotic area and then another regular area. One consequence of this is that we can't really say the solar system is table. Arnold talked about this in a hypothetical way a long time ago but this 'Arnold Diffusion' is still an undiscovered country.

(4) Despite that, people from NASA have done some very nice work at mapping chaotic trajectories that make it possible to get from one planet to another with much less energy that you would otherwise. See

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

(5) I'm particularly irked that when people draw Poincare sections for Hamiltonian systems, such as

https://i.stack.imgur.com/Wym1Z.png

you get these areas that look like television static that certainly have more structure than they appear. The proof that these areas are chaotic is based on the knowledge that, paradoxically, these are filled with stable periodic orbits and there is a fractal network of resonances that resonate with resonances and so forth that determines the motion in that area which is not visible because of the sensitivity to initial conditions and practical problems that come from doing the math. There were people talking in the 1980s that there ought to be a way to make better pictures with interval math but I don't think it's been done since then. Lately I've been interested in revisiting it not so much because I care about the science but because I'm always on the lookout for algorithms to draw interesting images.
And digital art in general. If you can't tell the difference between human made and AI made art, they will cost the same. Near $0.
I posted this yesterday too but I've found OpenAssistant to be the best of the OSS ones so far (Alpaca and LLaMA are non-commercial so not truly open): https://huggingface.co/spaces/olivierdehaene/chat-llm-stream...
Thought it was new Italian dish
What Chris Elliott referred to as "baby batter on the brain."
It clearly says that breaking changes MUST be released in a major version. And it also says nothing about how “minor” and “patch” changes alone MUST NOT be released in a major version. So releasing only “minor” and “patch” changes is fine according to my interpretation of it.
I started to reply "How many of these loans are sub-prime ARMs though?" and then went and looked for the data myself. I can't tell if these ARMs are risky, but we're seeing an early-2000's-level number of people applying for them.

https://www.cnbc.com/2022/05/11/adjustable-rate-mortgage-dem...

> “More borrowers continue to utilize ARMs to combat higher rates. The share of ARMs increased to 11% of overall loans and to 19% by dollar volume.” At the start of this year, when rates were still hovering near record lows, the ARM share was just 3% of all purchase applications. At 11% that is the highest share since March 2008.

https://www.mba.org/news-and-research/newsroom/news/2022/07/...

> The adjustable-rate mortgage (ARM) share of activity decreased to 9.5 percent of total applications.

https://newslink.mba.org/mba-newslinks/2022/november/mba-new...

> The ARM share of activity increased to 12.0 percent of total applications.

Now, my wife and I bought our current house on a 5/1 ARM that was capped at +-1%/year and I think 10% total. We then refi'd in April 2020 and got on a 30 year fixed. I'm not sure if new rules after 2008 require ARMs to have total/yearly caps or not, if they do then a bubble pop will likely hurt a lot less. If they don't, then we're likely 4-5 years out from another crash.
"Introducing Bard, Google's experimental conversational AI service powered by LaMDA"
Washington Post Poll: Saddam Hussein and the Sept. 11 Attacks (2003)

https://www.washingtonpost.com/wp-srv/politics/polls/vault/s...
Many EU websites carry speech which is illegal in other countries.
I don’t think it’s good. ChatGPT is clearly better but that too is not that great. We are still a couple more iterations away. I also wonder if Google is at disadvantage because they’re not utilizing Nvidia hardwares? Or not to the extent OpenAI does?