skysight-inc/HackerNews huggingface dataset:
I had an oxycodone addiction in high school 20 years ago. Quite a few other students I knew did as well.

Many of them sought help for it. I did not - I quit cold turkey after my third mild overdose. I had access to a nearly unlimited amount (>400 pills) left over from an earlier surgery.

For me opiates were a very effective relief against terrible emotional pain. I think just being there for your son a lot, including him in your activities as much as you can, treating him like an adult that you accept, will go a long way to immunizing him against addiction.

It’s important that your son feel it’s safe to bring his shameful actions to you for hands-off advice and support.
>> It's amazing to me that the chaotic process of "machine learning" can end up with an internal state for languages that is readily adapted to entirely new languages.

Yeah and interestingly, that was roughly Chomsky's breakthrough finding with respect to how humans learn language as children. We are born with an innate language acquisition device.
A friend told me another REALLY weird fact.

If you dig a hole below the water table in most places a pond will form. And left alone for a while, fish will appear in it. This happens most anywhere.

edit: also: https://upload.wikimedia.org/wikipedia/commons/4/44/Phaneroz...
California has been at the vanguard of reducing prison population, and decriminalizing drug use, and so far the results look disastrous. That’s not a policy that needs any confusion to be unappealing.
I agree there’s a fundamental change, but saying that this change will lead to humanity’s extinction is exaggeration.
Show me one death because of AI before you can argue that 8 billion humans are going to die.
Ask HN: Will reliance on GPT result in a local maximum of human innovation?
Given that GPT is trained on a snapshot of human knowledge, and that humans increasingly use it to replace knowledge work, does that mean the velocity of new knowledge added to GPT will approach zero? I always felt that GPT tends to err towards current best practices, and struggles when explictly asked to innovate. Imagine if it existed in the 90's and we all wrote elaborate OOP hierarchies and CORBA services because that is all the programming knowledge GPT was trained on. Of course, probably >90% of work contains no new ideas, but even so many people come up with clever little hacks that can spread to others surprisingly well.
Everything that horrible Wired article wasn’t: thoughtful, balanced, and actually gave one a window into the author’s life.
I would say it's a matter of input vs output. Using AI to identify the best part of the image to act as input is fine (e.g. where to focus, what to base exposure/white balance on, etc). But if you treat that part of the image differently as part of a function's output, e.g. adjusting color differently on a face vs the rest of the image in post, that's where my sense of distaste kicks in. I'd rather that rely only on local color information (e.g. treating a part of the image differently because it's darker is fine).
I can't fathom how you get any of that out of what I wrote. I'm making a tedious, straightforward point about following the site rules, which you broke. I don't care about your views on the underlying topics; I don't even know what they are—I don't read HN comments that way.
Does UEFN still have the problem where the framerate for rendering all UI halves each time you open a new window?
I worry that Hugginface is on path to becoming another Docker

Huge contributions to the industry, everyone uses it (or something that came after it) but nobody pays or wants to pay for it.

The first place I look for a new model is Hugginface.

However using them for inference (seemingly their revenue play) basically always ends up in a very unfriendly build vs buy as they don’t eliminate the need for one or more ML engineers.

Paying x% over infra costs for managed models on my choice of cloud only works if I don’t also have to spend to hire ML engineering at the same rate regardless.

I want them to succeed.
Oh I see. It takes 2mg of fentanyl to kill a person so I bet that much ends up on dirty lab equipment.
The difference is people set out to commit suicide but drug overdoses are accidental. You can’t get to someone before the overdose because you(and they) never know when they’re going to.
Here's how you can do a 'branchless' one, using Python syntax:

f = lambda n: (n & 1) * n + ((n + 1) >> 1)

No need to count any trailing zeros.

Of course, the multiplication sort-of acts as a branch.
I think there is an issue in vocabulary size though.

If I'm correct in thinking that the OP is proposing that what Llama does ("Notably, we split all numbers into individual digits") explicitly this allows the model to treat a number as a sequence of digits so it can learn how math works.

This is especially important with very rare numbers. Take a number the GPT has never (or hardly ever) seen in its training data:

832408345770928764

The GPT-3 tokenizer tokenizes[1] that into:

83,24,08,345,7,709,287,64

To some degree this is forced to occur by the use of raw BPE encoding and the vocabulary size (175K in the case of GPT-3).

Now consider the string:

832408345770928764 + 37

The model presumably has learnt something like "if all tokens are in this area (where the area is "numbers" in the token-space) and they are followed by a + sign then we don't just append the string, instead we swap the last token for another one"

But of course this is insufficient in this case - it needs to learn carrying rules to also increment the next token. As is speculated in https://arxiv.org/abs/2212.10559, it's possible there's a relationship between the depth of the model and the length of chained rules it can learn, and because of the number of multi-digit tokens it has learnt these rules are unnecessarily complex, and incomplete.

If these tokens were instead single digits the rules would be much simpler, and it's possible the model could actually learn the real rules of math instead of the subset of semi-memorized things it has at the moment.

[1] https://platform.openai.com/tokenizer
Don’t forget to smash that subscribe button
Show HN: Hour “ChildGPT” Project with Pynecone and Langchain
I'm sharing purely because I found it quite amazing what the state of LLMs are at the moment. I managed to make a (probably not, but slightly) child safe version of ChatGPT using Langchains "ConstitutionalPrinciple" and "ConstitutionalChain" classes with a very basic Pynecone frontend in roughly 90 minutes of development time and little experience with either.

It is just so mindblowingly cool how fast this field is growing :D
I would have some vague sympathy for your argument were it not for the fact that death is far from the only negative consequence.

Opioid addiction is a lifelong curse.
It isn't being illegally diverted from legitimate supply, for example. The street fent comes from a wholly criminal supply chain.

The prescription opioid "epidemic" re: Purdue et al was exclusively or virtually exclusively non-fentanyl opioids.
How do they avoided the bad microbes, that can kill you?
"Conspiracy to commit fraud: the defendant devised a scheme in which the defendant repeatedly made promises of payment, which he had no intention to uphold, in order to obtain common shares in various corporations"

Make it wire fraud if they used signed PDFs sent over email.
The game acts like it is designed for kids. It follows all the obnoxious gen Z trends, everything is in superbright colors, and speaks their design language. Hard to imagine that its userbase isn't mostly kids.
These two issues have very specific advantages:

- simple to explain / rally around

- low economic impact (a single country wouldn't get tremendous advantage by keeping using cfc for instance)

- once the technology is developped there's little upside in going back

We'd need to recreate those to have stable progress on the other issues.
Where is the disagreement?
I sent it to OpenAI because I felt comfortable doing it with my entries, but my guess is that the same can be done with an open model.

I want to see if it’s possible to have it extract more structured information about my beliefs, values, and thought patterns, and then reference it to non-intrusively comment on my writing.

Let me know if you’re interested in this, I saw your post on journaling and found it thoughtful.
I agree. The hackers sound track should be number 1 on that list...
The 3.5 upgrade looks compelling at 250 for the input shaping and pressure advance. Native Wi-Fi is a mild bonus if you already have an octopi setup. For the others, I agree. That’s a good chunk of the way to the price of a brand new P1P, which comes assembled.
Things like this might work for a small fraction of people for whom structure is in and of itself part of the pleasure. For unorganized quacks like me doing all of these “techniques” just ends up being a chore and takes the fun out already mundane things.
Not necessarily. There can be so many different things happening here.

The commenter might overlook something. So the word will might not be a good choice. You can say could or can.

The second sentence is not free from this either. If the commenter did indeed overlook something and the code was specifically written as it was on purpose with full knowledge of what might happen, then this can come across as quite condescending. As in "you dumb-eff don't even know how to read a large table efficiently. Here I'll show you how exactly to do it sigh". And the author will think "what an a-hole, does he think I don't know how to do this? What a dumb-eff".

Without knowing the exact example you were thinking of one could at least rewrite it to "One possible optimization I can think of would be to do X".

Now your PR author might say "Aah you're right, I copied this code from place A quickly to prototype this and forgot to come back and do it properly for the large amount of data we expect in Prod. That X approach is pretty neat. I usually prefer Y. Look here I pushed a change. Let me know what you think".
Whisper also manages to add punctuations, line breaks and can attribute the speech to a particular speaker. The YouTube version is all lower case and has no punctuation. That “simple” change would make things so much better in YouTube CC.
The problem to me at least seems obvious; Politicians (and especially a certain side) have been using children as political fodder and a lot of these problems have started coming to roost.

Kids are given less hope for their careers and futures. They have to deal with constant training fearing that one of their classmates could pick up a gun and kill their friends or teachers. Parents (and especially the more toxic kind) encroach more on schools, handcuffing them from providing aid, taking away books, telling them exactly how to behave even when such behavior causes no problems. Schools get less funding for teachers and support staff so when kids have issues or need help they struggle to do so. Then there's the increasing squeeze that lower and middle class parents see where even if they are supportive and love their kids, their daily lives get a little bit worse every day.

It shouldn't be a surprise that they're anxious messes. But fixing it requires recognizing that America is broken.
China cracked down on fentanyl manufacture in 2019. “90% in China” is now more like 3%.
I’m proving that there are no cycles above the trivial cycle with this, and yeah this post is just a quick summary
Not just studio but also live sound, from the perspective of people who use it for work. And so there is no ideal. What does it sound like? Ask yourself. Also ask yourself what your objectives are. Is it reliable and consistent? Does it play well with others? What, how, and when are your choices and everyone’s weaker when things get boiled down to ‘the best’ in such a space. So I like gearspace because enough people there understand that. I love when the first reply to ‘what’s the best mic?’ Is ‘what are you going to do with it?’ Instead of fawning over some ideal. You only put a LDC on vocals? Well I get by fine with a 58 so how essential is it really? Budget and priorities, very few things in the professional realm are actually trash, but boy is it fun and easy to say things like all class d amps are trash. Maybe they aren’t the best at reproduction, but they’re also light and cheap. You gonna spec 20k$ gear for a single Vox, acc gui, stomp gig to 30 people? Or is the pair of 500$ Yamahas gonna be fine? Solo or with a crew? 18kg vs 36kg for a 12 inch top box can make a difference. Blah blah blah sorry I’m rambling.
You can also put together a really nice hifi system for a lot less than that.

Assuming you're using digital sources... roughly $500 for a decent 2.0 setup, $1000 for a nice 2.1 setup, and $1500 for a nice 2.2 setup. Less if you have the ability and knowhow to shop the used market, although the used audio market for speakers and subwoofers is kind of a pain because shipping costs effectively limit you to local pickups.

At that point you're comparing pretty favorably to a lot of things. Like a single generation of gaming on a specific console. And audio systems don't really become obsolete. They'll sound good for decades. Until capacitors leak and need to be replaced, same as any electronics.

The $10K system will be a cut above (assuming you've chosen well - it's certainly possible to spend $10K and wind up with something mediocre) but the vague price range I mention above it IMHO where you start hitting diminishing returns.
No, both parties need to cooperate.
Sorry, I was mainly responding to the criticism that many non-technical people say, "AI will never come for our jobs," discounting the rate of change that technology generally experiences over and above other types of human endeavors. I'm just frustrated by people thinking they and their job are somehow special and laying back while real change happens all around them. My points are a bit disjointed, I could have been clearer, sorry about that.
> Drugs being illegal isn't the problem here

Drugs being illegal is a huge part of the problem here. Because it's manufactured with essentially no QC, fentanyl dosage varies hugely from pill to pill, it's being sold as other drugs or adulterated into other drugs, etc etc.

If adults could get their drugs legally, it would almost entirely eliminate demand for illegal fentanyl and thus prevent it from making it into the hands of kids. Sure, some pills would still be diverted/stolen etc by kids, but at least it would eliminate the class of problems where pill #1 gets you high and pill #2 in the same batch kills you
And here I was thinking it’s hilarious that JS `undefined` is assignable! I’m sure there’s good historical reason for this, but being able to change booleans to mean their opposite is something extra special to me
> That declaration is valid until “21 years after the death of the last survivor of the descendants of King Charles III, king of England,” if it is deemed to violate rules against perpetuity, according to the document.

What?
I guess I've been lucky that this hasn't been my experience (will be 20 years working full time this June - yikes!)

I've had jobs where my mission parameters were outlined (we gotta achieve X by Y date) and I've had jobs that were vague opportunity areas (here's a team of X people, we think there's an opportunity in Y, see what you can do). The "worst" is I've had managers that asked me a ton of annoying questions to make sure I've done my due diligence, which in retrospect I appreciate.

So I guess that's to say, at least some "civilian jobs" offer that indeed so don't be discouraged - hopefully you will eventually be in one that gives you more latitude.
I would replace "a lot of" with "some".

And as with a lot of things, some people are simply wrong. Because that's not what the commonly accepted definitions of those terms are held to mean.
Curious - why do you say that / what do you mean?
My bet is that they try to solve the "VR headset creepiness factor" by having eye tracking and an external display that allows others to "see inside the goggles", so they can make "eye contact". These can be realistic eyes or cartoon eyes.

I had this idea when I used the Quest 1 and felt like I had a shoebox on my head. I've have since heard rumor's of an external display on Apple's ski googles.

Industry rumors: Enterprise features such as Micro-OLED, pancake lenses and eye tracking. Possibly an innovative "external puck" design with battery and compute in your pocket [1][2].

[1] https://twitter.com/SadlyItsBradley/status/16308547515154513...

[2] https://www.youtube.com/watch?v=64Qrtc6y3ug
I think it may have been desire for impact.

SPJ spoke with disappointment about his lack of impact on Microsoft's products. Excel did end up adopting lambdas but that took a decade and a half. Inside Epic, he can roll out functional programming to a young audience that hasn't done much programming before.

And from what I can infer, Microsoft Research seems to be paying quite well. Do you have knowledge that indicates otherwise?
Average age is a pretty bad metric for most things because “not adult but still engaged in society” is a pretty narrow band. If you have five 14-year-olds and one 40-year-old, the average age is over 18 (i.e., an adult) even though 83% of that group are not adults.
Torchvision Datasets for Computer Vision
> Algorithmic timelines generally aren't popular with users though.

Depends on how well they work, as you say, TikTok is a big one where I doubt many people want their feed in a chronological manner instead. Technical people especially seem to dislike algorithmic feeds but for the layperson, they don't really mind it (indeed, they don't even think about it at all, based on personal experience some of the people I've talked to don't even know that chronological feeds are even a thing).
But that's entirely dependent on the data - if you read the article, you'll see that the author is pointing out how different datasets are reporting different values for the same healthcare service. A correct, properly labeled example is just that - a document where values are accurate rather than misreported.

If you want to get a sense of what a correct, properly labeled example might look like, you should visit the CMS's guidance [1]. Health insurers should be providing documents that follow the format described there, and most importantly, reporting values that are accurate.

[1] https://github.com/CMSgov/price-transparency-guide
Patience/grit in a very specific way.

I don’t know who I’m quoting. But being able to stare at a screen for hours is the key. Relentlessly technical? Stubborn hacker?

It’s definitely not an intelligence thing. Being smart helps, but the amount of time you can passionately power through figuring out technical minutiae is often the limiting factor.
This is a warped perspective of censorship in China. Many people do post things like that and they’re completely fine. No one ever got “disappeared” for criticism of the government or complaining about corruption. In fact, I don’t think disappearing is even a thing, it’s more like if you want to subvert the government then you’ll get a visit from the police telling you to pipe down. But if you’re complaining about government performance then you’ll get a free pass. You can Google protests in China and there are hundreds of videos showing mass protests over various topics. What is happening in China isn’t some caricature of Winston getting brainwashed in 1984 - these kinds of stereotypes are frankly disturbing and indicates that the opinion holder has no real relationships with anyone in China. If anything, the US is the real oligarchic dystopia. The passing of the Patriot Act and this bill would only be confirmation of that. If only people could read Chinese and browse the Chinese web, then they would see the much more mundane reality for themselves.
I guess to some point, my qualms with Bambu are that they haven't been around long enough...

But at what point, I asked myself, how long does a 3d printer company need to be around before I'll buy from them.

My answer is 3 years for myself. Others might have a different opinion. Further, if they dogfooded their own printers, I would have a change of opinion.

I don't think it takes 3 years. But the Mk4 has 1M hours in Prusa's print farm for Prusa to iterate on.

the other thing is that as a general rule, I don't buy the first model of <thing> when it comes out. I'll wait until v2 or v3 of thing.

With that said, I'm certainly looking forward to what the Bambu labs carbon x1 v3 looks like.
>Bush Sr also claimed not to remember where he was when he found out JFK had been assassinated (despite everyone alive at that time remembering it clear as day for the rest of their lives).

Lots of people actually misremember, or outright lie, about these matters. For example, with 9/11: https://www.scientificamerican.com/article/911-memory-accura...

So him actually not remembering isn't that surprising.
People aren't fans of high speed bluegrass? :)

Yeah I was definitely simplifying in order to keep things under 50,000 words hahaha
That last sentence is definitely not how I felt growing up - not because I had bad parents - but because their parents were pros at shaming them and they didn't realize they were carrying on that legacy. I hope to break that cycle. Thanks for summing it up so succinctly.
My very limited understanding of AI so far:

There's no formal definition of AI.

It's kind of like Metevarse, everyone (used to) talks about it but no one has any idea what really is and there's no organization certifying AI-able things, meanwhile everyone is building AI in a similar way everyone was building the Metaverse last year.

GPT is the acronym for Generative Pretrained Transformer.

So basically some guys took a massive amount of text from mostly two free very large datasets, spent $10M in hardware and ran it through some filters, tokenizers and models (transformers) to create a glorified text prediction tool.

Wait, it is not just a glorified text prediction tool, because GPTs are able to solve some very difficult problems in the area of computer-based linguistics.

One of these problems is anaphora resolution or "the problem of resolving what a pronoun, or a noun phrase refers to."

So I went ahead and ran a simple query on ChatGPT to test this case and the answer was meh, it gave me a lengthy, verbose lecture of what should have been a two liner straight answer.

It kind of got confused with the nouns so the answer didn't make a ton of sense either.

If ChatGPT is currently the hottest thing in AI, should we really be worried about it taking over the world?
Yes lets defend bullshit beauty standards that make people even less comfortable in their own skin.
Before He Died, Einstein Wrote This on His Blackboard
Or he genuinely thinks it could be a bad thing for humanity. Could you put your hatred of him aside for a sec and acknowledge that possibility?
I think we're dealing with much older paradigms than the 20th century

gotta transition from a mindset of trading merchandise to a mindset of (technologically possible) non-scarce digital assets.

and we've traded merchandise for more than a few thousands of years, so I see a problem larger than just 20th century paradigms.

but trade is a bit nonsensical on digital stuff, as NFTs clearly demonstrated, so it's not a trivial issue
That’s a JS WAT, and it’s fair to say TS should error, but TS is explicitly not a linter and the code is “correct” so it’s unclear what else it should do.
> By this definition, did we commit genocide against the Iraqi’s?

I’m pretty sure I didn’t, I don’t know if you did.

> Also, is Russia’s invasion of Ukraine demonstrably worse or less justified than our invasion of Iraq?

I don’t really care, since I’ve argued that the decision-makers responsible for the latter should be arrested and tried for war crimes and the crime of aggression.