skysight-inc/HackerNews huggingface dataset:
If you want to do a good job of generating text, you have to develop a model of how the world works. For example, if you describe an experiment from a paper to ChatGPT and ask it to generate the results section of the paper, then ChatGPT probably needs to understand the phenomenon that the experiment is about and be able to model it to some degree in order to generate plausible results. If you think about ChatGPT in this way, then it is not just a text generator, but a world simulator. The more accurately you can simulate the world, the better you can generate text. I think this is where the model's size and complexity comes from. ChatGPT needs to know as much as it can about basically everything.

Putting it more generally, the difficulty of a computation isn't necessarily correlated to the filesize of the end product of that computation. Imagine simulating the entire world to try to predict what next week's lottery drawing numbers are going to be. Would require an unimaginable amount of data and computation, yet the output will be just a couple numbers.
> They are smaller models with less parameters.

I wouldn't have guessed image is a smaller model/easier to manipulate/generate than text.
That linked article says 0.5% of adults and 1.4% of teenagers are transgender. Maybe you misread the stat that says 18% of transgender people are teenagers, compared to 7.5% of the general population being teen-aged.

I think there's some truth to the idea that people who might have previously "just" been gender non-conforming now identify as transgender.
He's not a politician, he's a political commentator for The Daily Wire. Incendiary language is how he sells books and ad clicks.
We had thousands of years of economic equillibrium. It was a pretty rough time.
That’s a cool team setup! As a fellow computational scientist without much formal CS/SwEng background, do you mind sharing any insights you’ve found valuable so far?
Seems like they're taking aim at Discord. The "decentralized" is probably just them latching onto a buzzword, I wouldn't count on that part making it into the resulting app.
That's what I'm guessing, too.
I don't think what you're suggesting is especially good science. A study of hundreds of thousands with something that another study shows an incidence rate of 0.15% of is far more than enough to detect a signal. And so what really matters is methodology and limitations.

The CDC mentions a substantial number of limitations in their methodology. One very big one is that they did not consider underlying conditions. In the limited data that they provided [1] you'll notice black individuals and those on medicare are both substantially overrepresented in the myocarditis group. Neither of those factors cause myocarditis, but both are correlated strongly with obesity - which does. And black individuals, especially early on in the pandemic, were substantially overrepresented in infection rates. In other words a sample of the population that is disproportionately obese, which can cause myocarditis, were also disproportionately diagnosed with COVID.

And those sort of biases, among many others, were not considered. Notably all unconsidered biases share the common characteristic of likely inflating the estimated COVID:myocarditis relationship. By contrast in the Israeli study these factors (and many more) were carefully controlled for, alongside a consideration of how their results may differ, and why, relative to other major studies.

[1] - https://stacks.cdc.gov/view/cdc/109261
Not to mention that G+ had ideas that worked on paper about how users like to manage their connections, but didn't work in real life

Adding a new notification about everytime someone follows you is just asking for people to avoid the product
It’s not the wrong track, it’s just very early and specialized. As you get more multi-modal models with better ability to learn/remember on the fly, they will require less and less data to train.
Those chips are great for switching the segments on and off; my trouble is with the (ideally AC) supply for the filament. Others have had success https://kevinrye.net/index_files/vfd_ac_filament_driver_v11.... but somehow I have trouble replicating their schematics...
Here are a couple of recent examples:

1) I wanted to make a github action to auto build, run tests and publish a package. I don't do a lot of this type of work so quite unfamiliar with it. ChatGPT gave me a very good start with some example yaml which I was able to tweak and get started with. When something wasn't working with my tweaked yaml file, I asked it what the problem was and it was able to pin-point the issue right away. I don't use it at work for anything but it is very useful for side projects and things like that.

2) I had some example json text from a service for which I wanted to create some serialization classes. This is easy to do but it is tedious work. ChatGPT was able to write most of this for me. There are likely tools, websites, services that can create this, but the experience in ChatGPT is pretty great - copy and paste in some json text and ask it to create the code. If it isn't quite right, give it some additionally instructions. When 80% OK, manually tweak it.

3) I use it to get ideas for things or to provide answers about things. For example, one of the commenters in this thread discussed the "AI scaling hypothesis". Google would have had a good answer for this but if you happen to have any questions(after the initial response is provided) this is a completely new search. ChatGPT, though not always correct, feels a lot more calming to use. Google seems very "noisy" to me now. Google is still very necessary but it feels like only 20% of queries need to go there at this point.
You’re also not treating patients the same way.

Previously hormone treatments were always combined with extensive psychotherapy. Now the psychotherapy is optional.

I suggest reading “Time to Think” - it’s a journalism book about the Traviston clinic. It started out as a rigorous, comprehensive treatment center, but became a pill mill.

It’s a sad book, because it’s about people not getting the treatment they need.
I thought Loab was just a creeopypasta?
It absolutely will be able to access the external internet
$1 in 2007 is about $1.40 today. (If Lehman had $640B in 2007 dollars, that would be ~$900B in 2023 dollars.)
I must have missed this one in my Inbox - I look forward to it too haha

But to be serious, I'm not arguing that the Islamic system is "better", just that it removes certain risks that unrestricted lending cause. I don't think the solution is to ban lending but instead to be aware of the risks and make sure your regulation and enforcement is adequate.

I hate knee jerk dismissal of alternative policies, so I felt I needed to point out to the parent commenter that there are places where there is no debt, and no hunger.
You're talking out of your ass and it smells that way too. Yuck.

Fuck off.
Did the fish drive the trees out of water in the first place?
interesting story but wrong conclusion. this isn't about a management problem but rather a case of an IC taking on too much themselves. had they never attempted to do the work of 3-4 people, this general problem would have become apparent much sooner. instead they overworked themselves and put their own role at risk for a sub par rating.

do not allow yourself to be overworked for more than a few days at most. it never ends well.
The conviction rate (closer to 99.9%, btw) is for indicted people, not arrested. A lot of arrested people are released without being indicted. The prosecution rate is below 50% IIRC.

Edit: indictment rate is actually closer to 36%, and 16% more have a suspension of indictment (i.e. police think they're guilty, but they're not indicted). 48% are simply released. The 99.9% applies to the 36%.
I can only hope this new push for the G+ization of ChatGPT will result in a repeat of the most inceliest ad of all time: https://www.youtube.com/watch?v=oRxKUXJj1WU
I'm trying to muster up the courage to pursue the realization of this multiplayer turn-based RPG that my friend and I dreamt up years ago. I lack experience with net-code and also large-scale architecture and also RPGs just have quite a large amount of game logic and it feels very daunting. I know how to divide the problem into smaller problems and I've made other games with non-trivial amounts of game logic but I still am struggling and I'm not really sure why. I feel a lot of anxiety when I look over my code for what to do next and then come back a week later (rinse and repeat). I feel internally that getting over this hurdle will be a large stepping stone for me.
NB: If you use this, make sure to backup the key somehow. About a year ago I tested this with a few servers and lost all of the keys when my Mac had a kernel panic that wiped the state of the Secure Enclave! Updates can do this too!
A minor correction: a token is 3/4 of a word. ie. it’s slightly smaller than a word, not larger.
404, money not found.
>I'm not American.

Good. We don't need or want scum like you.
> My understanding is that in the US, minors with gender dysphoria who haven't started puberty don't get medical treatment,

It's the wild west in the US. If you have the money you can usually find a doctor who will do whatever you want. We can (and probably should) ask how often it's happening, but children are getting medical and even surgical treatment. I haven't seen any evidence of children under 6 getting hormones or puberty blockers though.

For example:

> Dr. Gallagher said she performed top surgeries on about 40 patients a month, and roughly one or two of them are under 18. Younger patients are usually at least 15, though she has operated on one 13-year-old and one 14-year-old, she said, both of whom had extreme distress about their chests. (https://www.nytimes.com/2022/09/26/health/top-surgery-transg...)

> Over the 3-year study period, a total of 204 gender affirmation surgical cases were
identified: 177 chest/top and 27 genital/bottom surgeries (Table 1). Most cases were
masculinizing chest reconstructions 177/204 (86.8%) with 65/177 (36.7%) of those patients
being less than 18 years of age (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000168/pdf/jcm...)

> The Komodo analysis of insurance claims found 56 genital surgeries among patients ages 13 to 17 with a prior gender dysphoria diagnosis from 2019 to 2021... In the three years ending in 2021, at least 776 mastectomies were performed in the United States on patients ages 13 to 17 with a gender dysphoria diagnosis, according to Komodo’s data analysis of insurance claims...A total of 17,683 patients, ages 6 through 17, with a prior gender dysphoria diagnosis initiated either puberty blockers or hormones or both during the five-year period. (https://www.reuters.com/investigates/special-report/usa-tran...)
Steel Threads are a powerful but obscure software design approach
I like USAA and bank with them but their tech is often worse than other banks. Their website is often slow or pages fail to load. Their app frequently crashes/hangs if you leave it in the background and then try to use it again. They have overly sensitive anti-fraud detection that prevents essentially all (desired) international transactions. They have weird low transfer limits ($5000/day) for outgoing ACH initiated on their end and outgoing Zelle ($1000/24hr). (If you initiate the ACH transfer from the receiving bank, the $5000 limit doesn't apply and they'll process the transfer normally.)

Of course, the reason I bank with them at all is they had mobile check deposit in like 2011 or 2012, which was ahead of the game at that point.
Love it! I started playing by disabling autopilot, putting the ship in complicated positions (e.g. spinning uncontrollably) and then turning the autopilot on, it's fun to which conditions it can recover.
Cool, neat code too :) Now do https://race-condition.reaktor.com/! I wanted to pour a few hours into race condition but I got it to complete a lap and never went back.
Sure but it’s almost certainly the end of your bank. So I guess you tread somewhere in the middle, like he did.
Even assuming that your figures are correct, I am not sure how you can conclude that $135k/year take-home is insufficient to support a couple through a catastrophic health issue.

She is apparently in her 30s. Same with me. I pay for an excellent Marketplace health insurance policy. My premium, annualized, is around $6,500, and my annual out-of-pocket maximum is $8,000. That’s $14,500 a year. Double that to liberally cover two people, and you’re still under $30k/year.

How is $135k/year inadequate?
> But the entities that have more than $250K in the failed bank will likely lose some money

If anyone loses money in the SVB downfall, it is entirely the fault of the CEO/CFO for poor management.

Depending on your monthly cash flow and your balances, anything over $100k should be kept in CDARS. It is explicitly designed to keep your cash spread out across banks limiting risk of default at a single institution and keeping the balance at each bank below FDIC insurance maximums.
> Your job is to look

A really dramatic way of learning this is to be a volunteer firefighter. After a couple of years of experience where you know all the roles, they have you try out incident commander in an exercise. Now your job is to keep your head up, your eyes open, your hands off the equipment and manage your team. And you fail and fail again until you finally understand the role of a tactical commander (line manager).
minor correction: The original davinci is GPT 3 but davinci-003 is GPT 3.5
Then again, AI is like VR. Something genuinely new and interesting happens every couple of decades, gets hyped to the moon... and then absolutely nothing happens for another ten or twenty years.

The term "AI winter" is no joke. It was coined for a reason. AI has always evolved via punctuated equilibrium. Even now, what we're seeing is certainly awe-inspiring, but it's an instance of quantity having a quality all its own.
> Meanwhile ChatGPT is already being hailed as the Google killer.

The only Google-killing aspect of it is a better understanding of user queries.

Although given how often I have to remind it of the details of my questions, maybe it's not even good at that.
I'm pretty sure we will look back and laugh about how this was done in 50 years. No disrespect to anyone working in the area now of course, but I think better, more natural approaches will emerge.
This is very interesting as Ive been under the impression that Sweden is generally seen as very accommodating to transgender ideology. I belive that many people flock there for comfort in acceptance.

Perhaps they analyse and leverage more data of the outcomes and wellbeing of these people.
I'm waiting for the open assistant dataset, as this model is wicked fast in output and I'd love to see it fine tuned
https://github.com/BlinkDL/RWKV-LM
Google photos was the best thing to come out of Google+
> The 'ruling class' have something you don't - money and connections.

They still get hauled before courts and don't just get off scott free. They get off because they use the right tools. You and I can use some of those tools too. Not all of them, but some of them.

> Honestly this is classic nerdery thinking they're smarter than everyone else when dealing with systems they're not familiar with. That's the worst kind of stupidity. Hubris comes before the fall.

It doesn't matter if you're honest or not, this simply is not something that helps to justify your position. It's just not an argument.

> No I didn't. You're confusing me for someone else.

Ah that's true.

> That kind of lack of attention to detail will catch you out if you need to lie to the courts :)

No it's not, but if you are the type of person to put the same attention to detail in to a court case as you put into posting on anonymous internet forums then I can see why you think it would be.
Types are absolutely available at runtime. You just have to start with the runtime.

const parseStr = (value: unknown): assert value is string => {
if (typeof value === 'string') return value

throw new Error(…)
}

const str = parseStr(anythingYouCanThrowAtIt)

I can 100% guarantee you str is going to have the same static and runtime type once you’ve checked it, or parsed it from whatever type you’d accept as a string. TypeScript won’t do the parsing for you, because JavaScript doesn’t have clear semantics for runtime casting that anyone wants or would accept. But type guards are exactly the solution to that and incredibly composable. Once you accept that reality and embrace it, getting the static type out of your runtime parser is a single added line of static type code. And all of this is almost exactly equivalent to what languages with runtime casts do, but you have complete visibility into it because you determine how casts behave. There are whole libraries which do this for you so don’t worry about rolling your own unless you have very particular needs. But TypeScript definitely has the facility to align static and runtime types however you see fit. You just need to tell the type system what types the runtime conveys, same as every other aspect of the type system.
The Facebook was great in 2005, too. If G+ had lasted longer I’m sure it would have gotten worse by now.
But the loss happens during re-encoding, not during capture.
It is a big deal because the major version numbers usually represent a new model trained from scratch, vs just a base model that has been given extra training (which is what happened from GPT 3.0 -> 3.5)
I didn't decide she was out of his league.

His own statements indicate he pursued her with a tenacity he did not believe himself capable of, in spite of his first attempt to chat her up going badly. At no point does he appear to have had any success in establishing some kind of romantic relationship to her.

She was far from the only person in this tale to extend him forbearance on the strength of his empty promise that he would get Brando.

The title of the piece mirrors the title of Waiting for Godot, a play in which everyone's thoughts, discussions and actions revolve around a character who never shows up. Brando never showed up but was the reason so many doors opened for the author.

He offered her a leading role at a young age, a role she told him she had always wanted to play. There is no evidence his interest in her was ever reciprocated.

He did this movie largely to have an excuse to remain in contact with her, apparently having no prior experience in the industry. If that isn't targeting her in specific, I don't know what is.
I like to think of stable diffusion as decompressing a text prompt into a 512x512 image. In some sense the 10 word text prompt and seed contains the same amount of information as a 262k pixel image. You could say to a transformer a picture is only worth a few words.

By extension a if every image in the stable diffusion dataset compresses down to a sentence of text, then stable diffusion needs "only" 260M images * 10 words worth of information to train. Gpt3 on the other hand was trained on 45TB of text data.
That's probably the best of the bad outcomes. Hopefully other banks aren't hiding liquidity crunches too, and can actually make the purchase.
There's a fairly excellent guide on creating a robust key system here: https://github.com/drduh/YubiKey-Guide. Primary and backup Yubikey for use, offline cert keys, and paper backups.

If you're wanting to protect things further you can also also split your backups via a secret sharing scheme (like http://point-at-infinity.org/ssss/) and distribute the fragments to people or places your at least partially trust.
You might find this interview with Arthur Whitney relevant - https://queue.acm.org/detail.cfm?id=1531242

He is an extreme proponent of writing very terse, compressed code in as few files as possible so as to enable him to read/mentally execute more of his program in a single screen/page and without too many context switches.

See also : https://news.ycombinator.com/item?id=32202742
Yo, other people aren't inside your head, and don't know what you're thinking. It's obvious to you what you're thinking, but until you say it out loud and communicate with us, I can't know if the "shady tracking" setting you're thinking about is the one about Dns over Https or the ones you mentioned or the fact that it's not all routed via Tor/a VPN. we're willing to believe you, and I'm able to look for myself, but you gotta give us something (which you did, thanks). What's hard to understand is where you are coming from. It's easy for me to believe that Firefox is acting "shady", but saying only that much, and no more, is banal and uninteresting. People are willing to do their homework, but you have to tell them what textbook you're working out of and which chapter you're in. I can't see, over the Internet, your reading history so it's impossible, not just difficult, without any frame of reference, to know what you believe is shady or even where you've looked.

Anyway. why does the installation of the Pocket seem so shady to you? There are a number of other features in the program you just installed that you probably weren't aware of. I mean, I didn't read the full source of Firefox before installing it, so there are many features now on my computer that I didn't know I was getting into when I installed Firefox. Is it the fact that Pocket (which Mozilla bought) has a premium tier that causes you to classify it as "shady"?
They might not do it right away if it’s slower and more expensive to run. ChatGPT has undergone a lot of efforts to optimize it.
Total excess mortality compared pre and post pandemic they are likely the very best of all euro countries. There were a few extensive Twitter threads into this recently, but the latest data is showing they likely did at or near the best.
It's in their interest to get rid of all the DRM, so it's a matter of setting an example. If they try to get Hollywood to stop demanding it while they're still doing it themselves, they look like hypocrites and fools. If they stop they can demonstrate the worthlessness of it and the success of their content without it and try to get others to follow.
Mobile?

How to you trigger autopilot on mobile?
I just watched the demo and personally thought it was amazing. Don't give up! Keep going!
Cross-training doesn't always help, I think the architecture is still being worked out. I can't remember the name of it but Google had some multimodal model they released a paper for, maybe six months or a year ago, and it did slightly worse than SOTA ("negative transfer" is the term they used for doing worse from additional modalities), and I recall the paper talking about how reaching near-parity with single mode models was an improvement.

One of their new models, PaLM-E, does show some positive transfer, so it's definitely a potential path for increased capabilities.
A weird thing about LLM is that certain internal structures (layers, activation functions) are much more effective than others. No one knows why. There’s a lot of work likely being done by it’s internal structure that we don’t really understand, which would explain why it is able to do more than just empirical analysis.
SimpleWall?
https://github.com/henrypp/simplewall
Gives me more reason to learn and use Julia. I have used python for years and love it in many ways but it certainly has warts.
Portmaster is an application firewall similar to Little Snitch that works on Windows and Linux. When prompting, it suspends connections for a short amount of time, which, as far as I remember when implementing it, is configurable. I can check to tell you the details, if interested.

See https://safing.io/
Wouldn’t it be wild if it just guessed the URLs correctly, because it had seen so many URLs from Microsoft URLs it was able to correctly predict the form of URLs it hadn’t seen yet?
Exposed: America's Censorship-Industrial Complex
IVXV: Source code of the Estonian online voting system
You very much want to be first out if there’s a bank run, the behavior here is very rational.

It’s also what makes having any sign of balance sheet weakness a death spiral, as anyone who knows runs for the exits, making things even worse.