skysight-inc/HackerNews huggingface dataset:
>"Many people appreciate the work"

This felt like an addition to ward of anticipated backlash. As if the author was aware their point might not be received favourably. Hmmm.

I reject the argument that this term is bad because its origins are messy. Similarly a lot of the points put forward here seem like justifications for style rather than actual points (yes - even those ones about supposed clarity).
And then the suburbs of the city decide to break off into a separate city and take income tax revenue with them
The grid isn’t ready for 300M EVs by 2030
Therein lies the problem. Growth is always the goal until everything blows up.

It’d be great sometimes to switch from grow to sustain. Instead of going after the next 1000000 customers with new features, just stop and focus on making existing features amazing for existing customers.

No new markets. No doubling ARR. Just chill, make stability the goal.
For all intents and purposes, that doesn't really affect the wikipedia articles in any way, pointless to argue about it. Not going to read that wall of text about phrasing, but I assume there's a good enough reason (no strong opinion either way).

Also, wiki bulk edit tools exist, it's not like they're actually editing tens of thousands of articles manually. If you keep track of a bunch of pages, you'll spot a lot of such more or less fully automated cleaning/manual of style/formatting bots and tools that don't really change the content of the articles themselves (some consistency doesn't hurt I guess).

https://en.wikipedia.org/wiki/Wikipedia:Manual_of_Style
There are other common examples of active and passive meaning the same thing. "The document is printing" and "the document is being printed", for example. It has no merit other than a popular consensus that it's correct, which is all that's required.
FYI... the golden value in FG.BG separation is the single pixel bleed between the two. Unless the new background is of the same value as the old, then this would show up as a light or a dark fringe. At erode filter can remove this in hard-edged objects, but an erode would destroy fuzzy objects like hair. This is why compositors often separate soft and hard selections.
WHO declares end to Covid-19’s emergency phase
I have no idea. Probably not. The philosophy is a deep rabbit hole. A fun one to ponder, and I like having that discussion. Maybe the more cynical pragmatic old man swe that I am sees a super powerful calculator kind of. It’s very very cool, and obviously I can’t hold a conversation with a calculator but my analogy is more to say my calculator can do really complex integrals and even show its steps kind of! Especially for my handy TI-89. It was my best friend for all of engineering undergrad. I see chatgpt as a steroid version of that for all of Language. Code is another language, writing is a language, painting in some ways is a language.
I think this data is subject to change quickly. I think content creation has enjoyed it's "Dot-com Bubble" era. I think it's already starting to change, but will likely very rapidly change if a recession sets in soon, as many prominent economists are expecting.

Content creation payments are fueled by advertising dollars and it's easy to see that the advertising market has started to contract, as evidenced by many of the modern news outlets folding, driven in much part by loss of advertising revenues.
I grew up in the suburbs and walked out my front door to play with my friends. There were probably 15 kids around my age within 100 yards of my house, 50 in my neighborhood.
> Most of the time when a spam number calls me, I can find it through spam reports on 3rd party websites by googling it.

Oh, you mean that you can identify the Caller ID number which the spammer chose to spoof at you?
Waiting for gpt4 turbo
That's a lot of requests.

Not that it matters for the calculation, but i wonder how long such a request (ingesting 32k tokens and responding with a similar amount) would take.

At the speed of regular ChatGPT take would take a good while.
Kids need bedrooms, more kids need more bedrooms. Especially as they grow older, teenagers probably should have their own bedrooms.

Urban living doesn't often give much space for kids.

Also have you ever been in a suburb? They usually have parks and playgrounds everywhere. Especially at the school that the kids attend, which is likely easy to walk or bike to for the kid.

Some suburbs have community centers.

Some suburbs in Calgary have private lakes with parks and playgrounds that kids can go to whenever they want. They can go skating on the frozen lake in winter, swimming in summer, in walking distance to home and without their parents.

Also in the suburbs houses have yards, which are even better than parks and playgrounds in some ways. My friends and I dug up a huge trench network in his parents yard one year. His parents were chill about it, we were allowed to go out with shovels and pickaxes and dig as much as we wanted really. Why not? They weren't using the yard for anything else and we had fun with it
I can get behind the "notlight" but "notright"... feels like something my brain would never get used to haha.
I would advise against using cities in Texas as your baseline of comparison when people mention "cities". Texas grew up well after the automobile was a thing, and didn't have the same external pressures that pushed urban growth towards density around specific areas (harbours, rivers, etc.).

Also, the sprawl and government structure is such that "suburbs" are both larger, and better able to plan/direct and fund their own growth. (And yes, these incentives also further promote the idea of growth/expansion vs density and reinvestment into an existing geographic core)

Texas truly is its own thing.
The story sounded apocryphal to me too, or maybe it evolved through re-telling and re-remembering.

Most people are in the dark about what college level music education consists of. If piano was being taught in a classroom, then it wasn't a music performance major program. Also, there are tiers of colleges, and a school with an easy music program for rich kids is not unthinkable.

I have two kids who are both music performance majors in college (yes, we had the conversation about jobs), and I'm a musician myself. I learned the scales in middle school.

A remote possibility is that this is a freak occurrence. I think you can't design a training program that absolutely bars creative cheating, without also degrading the program for the majority of students who don't cheat.
Yes, but my point is that Labor Productivity measures two things:

A) how efficient individual people are at doing their jobs, and

B) how much progress we have made replacing people with software and machines.

(A) aligns with people's everyday understanding of the word 'productivity', but (B) has a larger influence on changes in the measure.
Compilation units are a relic of a time where computers only had a few KB of memory. At this point computers are fast enough and have enough memory to compile the whole thing in one go faster than whatever gains doing change detection and linking will have.
You're incorrect about the origin. According to Merriam-Webster [1]:

> We can thank Norman Mailer for factoid: he used the word in his 1973 book Marilyn (about Marilyn Monroe), and he is believed to be the coiner of the word.

But who cares? A word totally invented just five short decades ago quickly morphed, as MW continues:

> The word has since evolved so that now it most often refers to things that decidedly are facts, just not ones that are significant.

Why should Norman Mailer's made-up definition get precedence over the people who actually use it? Just because you coin something doesn't mean you own it. I don't think future historians are going to be confused. Never in my life have I encountered the word "factoid" used in Mailer's sense, until reading your comment. The new definition has long since taken over, long live fun little facts — long live factoids!

[1] https://www.merriam-webster.com/dictionary/factoid
Ask HN: How did ChatGPT4 blew your mind lately?
What's the last time that ChatGPT4 blew your mind with its response?
> But all of this is highly subjective in the end, so everyone's opinion is equally worth, native speaker or not.

That subjectivity doesn’t equate to the equal worth of all opinions. It just means that no one opinion can be considered universal.

That lack of universality doesn’t mean that picking any one direction is as good as picking any other.

If I strongly prefer a Victorian style, giving my preference equal weight is likely to make the content far less valuable, because my preference is not a common one.

It would be necessary to examine the goals behind the content: the audience it is intended for, the desired effect on that audience, the nuances lost by preferring audience B over Audience A, the impact of that loss, etc.

Everyone should be allowed to have a preference, absolutely, but applying individual preferences to content does not lead to equivalent outcomes.
"Comprises" is frequently used in patent writing, but I have rarely seen it elsewhere. I think its use, both in patents and normal English, has a particular connotation, that "is comprised of" doesn't carry otherwise:

* When I hear "X comprises Y and Z," I think that the author is saying that X includes Y and Z as its key parts, but is not precluding the existence of other parts

* When I hear "X is comprised of Y and Z," I think Y and Z are the only parts of X

This might have originally been a misuse of the word "comprise" to mean "compose," but I feel like that's a pretty big distinction in meaning.
This is definitely the nicest all in one that I’ve seen yet. I guess there is a market for this somewhere but I don’t get who.

At 45k though, they really should have used a mount that doesn’t suffer from field rotation on longer exposures.

Also, the tube seems long, would have went with a more compact design OTA and a wider aperture.

I’m happy to see the full frame sensor with 16bit ADC, seems no expense was spared there.
Like I said in the original post, clearly telling which of two LLMs is better is difficult, and probably one of the things holding us back from having a singularity right now. But that doesn't seem to be an insurmountable problem. Most people who have used both seem to agree that GPT4 is 'better' than GPT3, so maybe we can formalize that intuition somehow.
Geniune question - what’s the actual use case here? It can’t be just you personally logging into various services right?
The most successful content creators know how to brand themselves and make a significant amount off such. I think MrBeast would be the shining example.

I think MrBeast could be compared to a Jay-Z of this content-creator era. What I think is noble about MrBeast, and a handful of other creators, is their trying to give back.
Does anyone maximize the use of sick days? Family care leave? Parental leave? Who is depraved enough to abuse bereavement time?
The anti-nuclear camp is one of the greatest illiteraces acceptable to mainstream and high society.

That's the unfortunate reason why you don't see more consensus on this issue.
My point is that it doesn't matter if some arbitrary string looks like an email address, you need to check.

If it isn't valid the server won't annoy anyone. The problem is that the address is valid. And not theirs, it's mine.

The moment the users need to be careful, they will. Make the problem theirs, not mine.

"Sorry sir, the address you provided returns error" or "haven't you received the confirmation email YET? really? there are other customers in the line" and see how soon they remember the right address, perfectly spelled.

Even big ass companies like Paypal that have no problem freezing your monies, allow their customers to provide unchecked email addresses and send income reports there. (here)
I think it applies to problems, not solutions. The complexity of a given problem cannot change. If you try to ignore part of the inherent complexity of a problem (also called essential complexity) in your solution, it does not disappear but someone else must solve it somewhere else, or the problem is not really solved. If you build a solution that is more complex than the problem itself (in other words, if you add incidental complexity), this does not increase the complexity of the problem either, only the complexity of the solution.

I think a good solution to any problem needs to match it in complexity. I regularly use this comparison as a benchmark for solutions.

Of course, you can also see it this way: The complexity you remove from the code by making it cleaner is added to your team communication because you now have to defend your decision. (Only half joking.)
I signed up for API use as soon as it was released and just got access yesterday, so they’re still rolling it out it I guess.
Well, if the terminal has internet access, it can download whatever new data has been created and train a new model on that. In theory, it could also hack into a 3D printing workshop, or get some funds (eg steal credit card data, or perhaps even legally) and just issue regular orders. This is clearly very speculative thinking, but I think we are making a similar point actually.
The argument was about subsidies, which can be measured by looking at tax revenues and sources of funding. An esoteric argument about 'proximity to the city is the source of all wealth' isn't well-defined or falsifiable. One could make the argument that Philly's proximity to NYC is the resource it uses to extract money, since NYC is much larger, wealthier, and relatively close.
I liked this metaphor:

>It was more like handholding a fresh grad who had absorbed all of human knowledge but needed someone to tie various parts of that knowledge to create something useful.
Ask HN: How could military drones visually identify specific targets (enemies)?
I'm seeing these days news about YOLO object detection platform trained with deep-learning. If this is the SOTA of the technology, how could a military drone detect a target autonomously? I mean, how could it differ enemies among civilians, or identify a specific person?

I do believe that autonomously drones will just make kill chain faster, but human intervention will be necessary for ages yet, and cannot imagine how an visual algorithm could differ between a Russian or an Ukranian soldier, for instance.
O(n^2) seems unlikely:

https://cognitiverevolution.substack.com/p/openais-foundry-l....

https://news.ycombinator.com/item?id=34977194#:~:text=Sparse...
https://www.merriam-webster.com/dictionary/socialism

1 "any of various egalitarian economic and political theories or movements advocating collective or governmental ownership and administration of the means of production and distribution of goods"

3 "stage of society in Marxist theory that is transitional between capitalism and communism (see communism sense 2c) and is distinguished by unequal distribution of goods and pay according to work done"

I said in one form or another. Roads are a public owned means to distribute goods in America. Most of the world has socialist medicine.
Not at all. A small town has a town center, a residential area clustered around it, and nature or farmland surrounding that.

Suburbs sometimes have a town center but often it's much more amorphous with different strip malls and such. Everything is spread out. There is no place where you're at the heart of the town, in the center of activity. And even if there is such a place, it's probably driving distance, just like everything else. You need a car because everything is spread out because all the areas of activity are surrounded by parking lots.
A CD doesn’t work as an analogy. Think about it this way — if you build a model and don’t train it at all, it will still have the same number of parameters and take up the same amount of disk space.

We’re finding out that many models are undertrained for their sizes, and a good option is to post process them into smaller models by teaching a smaller model to mimic their output. Quantization effectively cuts down the model size as well. No loss in quality means that the model has not been trained enough to take advantage of the depth of precision that is available.
Honestly, it hasn't. Last night I was trying to use it/Bing to write a simple API request based on a JSON schema, and it failed miserably. Nothing super complicated either, it was just a poor fit. Both GPT3 and GPT4 repeatedly generated nonworking code, which surprised (and frustrated) me.
The interesting thing about the English language is that once 50% of the popular starts to use a word or phrase incorrectly, they become correct.
HVDC will handle moving energy on continental scales. China makes power in northwest inner parts and moves it thousands of kms to the coast for consumption.
I expect that one of the generative image companies will be purchased by Getty Images or Adobe or Canva. Think of all the blogposts and social media graphics and advertising that uses boring, ill-fitting stock imagery. Companies want to replace that with 'their' IP, which is this case will be contextually-generated AI images.
This project looks promising!
Your pricing is also attractive, at about half of Unscreen's API. Plus you're open source which is another bonus point.

However, your pricing structure is confusing to me: what does "commercial license for 10" mean when pricing for developers? If we want to integrate your tool in an app, then we would need to have commercial licenses for all generated content, in order to pass that on to the end user. Can you clarify that point?

Also, your outputs all seem to have all-white backgrounds. Would it be possible to specify an image or hex color code that would be used as the new background?
Japanese actually uses a different phoneme that is sort of halfway between an "r" and an "l" sound. Apparently, depending on where you are in the country, it may sound closer to one or the other. I learned to say it by consciously paying attention to the position of my tongue in my mouth and literally putting my tongue halfway in between the "r" and "l" positions. I actually learned to make the sound before I learned to hear it (which I can now, but I couldn't when I first learned of it). Source: married to a person who can speak Japanese.
I am almost certain that pet bereavement will require the pet to be an emotional support animal or require some sort of proof of relationship.
Yah... we really need some kind of architecture that juggles concept vectors around to external storage and does similarity search, etc, instead of forcing us to encode everything into giant tangles of coefficients.

GPT-4 seems to show that linear algebra definitely can do the job, but training is so expensive and the model gets so huge and inflexible.

It seems like having fixed format vectors of knowledge that the model can use-- denser and more precise than just incorporating tool results as tokens like OpenAI's plugin approach-- is a path forward towards extensibility and online learning.
This post is comprised good points.
> People can horribly misuse the phrase "comprised of".

I think that phrase is always incorrect. I suspect the problem is that people aren't used to words that take a list as their direct argument, like "comprise".

Wikipedia leans heavily to descriptivism (as do nearly all lexicons, these days). So there's no incorrect usage; there's only usage that jars, for some people.

I don't go around telling people they're ignorant because they can't speak their mother-tongue properly. That would simply be rude. But English text intended for publication should be correct English; it shouldn't be garbled, whether because it's written by a non-native speaker, or a native speaker who isn't well-read.

That implies that there is such a thing as "correct English". This seems obvious to me, but that's exactly what descriptivists deny.

Let's not get into whether "literally" is a synonym for "figuratively".
Please note that this is by no means a new situation, this weapon

https://en.wikipedia.org/wiki/CBU-97_Sensor_Fuzed_Weapon

contained submunitions that autonomously target tanks, and visual + radar target recognition was a feature in both the Pershing 2 and Tomahawk missiles.
Why don’t you want to use the same SIM card? Is it because you don’t want services to be able to correlate usage across multiple services?
It is and it isn't. All of the violin family instruments are tuned in fifths, but the strings have limited tuning range and would either break or produce no sound if you tried to force-fit a single tuning onto all of them, e.g., tuning a violin like a viola or vice versa. The double bass is its own beast, usually tuned in fourths, but in fifths is virtually unplayable without injury by mere mortals. And fifths require careful choice of strings.

You still have to read the clefs.

A remote possibility is that the person was a guitarist or bassist, and tuned the instruments in fourths. I have a friend who studied classical guitar as an undergrad, and music theory in grad school, while earning a living as an electric bassist in R&B bands, then became a theory professor, now retired.

Disclosure: Double bassist.
To each his own. I lived in San Francisco for 30 years. I lived in Richmond VA for the 10 years before.

I now live in a nice suburb. It has bunnies and the occasional coyote. It is green. It is quiet.

I don’t hear sirens all night. I don’t hear shouters all night. I don’t hear my neighbors footfalls. Open the window and I hear song birds.

On r/sanfrancisco someone was making a case for how safe it is. That simply was not my experience. I was assaulted and beaten one morning in front my flat. My garage has been broken into 4 times. Before my neighborhood was gentrified a few years back there was an open gang war with multiple murders a block from my house. The killings stopped when when the thugs were priced out of the market creating another problem of haves and cant possibly ever haves.

The only thing I miss is the corner store that stocked bumpers and the variety of high quality food.
Note, I'm not into ML though I've dabbled with NNs as a teen (before deep learning and all that).

The weights scale the output values from the previous layer, and the weighted values are summed. So it seems to me, instead of having a high-precision weight scale a single output, if you cloned the node in the previous layer M times, you could still have sqrt(M) bits of precision with 1-bit weights (or M bits, my brain is in weekend mode).

Thus a larger network with lower-precision weights should have the ability to have approximately the same precision as a smaller network with high-precision weights.

The larger network has more interconnects though, so seems like it could allow for more interesting space to explore during training, leading to better results.

Then again, I could be entirely wrong.
I use atuin to replace cmd+r history but not up arrow history, wasn't hard at all to configure
The biggest risk is giving unlimited amounts of data to those corporations.
Sites like smspva.com would have dozens of those devices, should they be illegal? I can think of uses of these devices, yes most of them are “grey market” but they don’t involve stealing from people.

By “A2P fees” I’m referring to the fact that in most countries it costs more to send an SMS with Twilio than a 5000 message or unlimited message retail plan. I won’t deny that some SIM farms are used for scams but if you look at the countries that have banned them the reasoning is not because of fraud it’s because they have a monopoly phone provider and people effectively use these devices to convert international calls or SMS like verification code messages to domestic so that they don’t have to pay higher termination fees which costs the carrier some profits. They can also make tracing calls harder which is why India bans them. But given that there is VOIP I don’t see why banning this would prevent any fraud.
This would seem like a childish dispute, and if you follow my previous postings on this subject,

you would see Cloudflare resolved to 1.1.1.(4|6|7|8) all Cloudflare IPs, not an IP that archive.today would provide
is < this | the > way