skysight-inc/HackerNews huggingface dataset:
> You can bring your own government to account for what it does

Our government is so powerful, you can't even make a dent.
disclaimer: I'm one of the founders

We're building klotho[0] for many of the reasons mentioned here. (happy to answer questions). We transform plain code to cloud native code. The majority of the complexity is moved into the Klotho compiler, and what devs handle is the simplest bundle that's easy to deploy and operate on public clouds using standard tools.

[0] https://github.com/KlothoPlatform/klotho
ChatGPT interface for GPT3 output below:
https://imgur.com/a/feQDnKe

in short, the plan is feasible but acknowledges money and time as constraints

was sincerely impressed by the short response, but i'd appreciate a human's take on it to, considering you probably know better than it what thumbs are
Seems like both of them are inspired by Functional Reactive Programing, so yeah, hard to say Elm was foundational
XmlHTTPRequest existed, it's just that Firefox hadn't implemented it yet. IE had it since 1999.
Steve Hsu has recently claimed[1] to have started a startup in stealth to solve the hallucination problem over a corpus as large as 10,000 pages of dense, college-level textbooks, to the point where it can answer the end-of-chapter questions in the textbook with almost 100% accuracy (albeit not math questions) - I hope without using the answer key. Not sure if their approach is more robust than Supabase[2] or similar approaches, and no indication of whether it might scale up to something on the order of a search engine corpus, but it's something.

[1] https://www.youtube.com/watch?v=peHkL_MaxTU&t=1558s
[2] https://news.ycombinator.com/item?id=34695306
> Say you have a CAD model of a special bolt you have made completely from scratch and it is fully parameterized

But what does it mean to parameterize something you made from scratch? Either you built it as a parameterized model, or you didn't. If I understand, you'd basically like to design a model manually, and magically get it parameterized? That's probably possible to design a AI model that attempts to do that.
I am not aware of any. Here [1] are the less-than-documented features. I can't speak for the 3rd party apps some people use that front-end HN as I have never used them.

[1] - https://github.com/minimaxir/hacker-news-undocumented
Would you mind naming the shop and location? I’ve been tossing a similar idea around and would love to contact the owners to learn from them.
Are you aware of any ecommerce sites currently using unpoly?
> Reward early customers.

Full self driving was promised and has not been delivered. At this point just refund their money.
> but I temper my expectations with the realities of both cost and difficulty to mass produce

This is a good instinct but, FWIW, I'm think there's a good chance we're going to see scale-up costs drop by about an order of magnitude over the next 5 years via fairly straightforward use of ML to reduce on scaleup test iterations. (For readers without context: to scale up battery production you start by making a few grams of materials in a lab, then a few kilograms, then a few tons. At each step there are failures and you have to iterate on production parameters, testing can take a long time as well. Sometimes the whole effort fails). At my last job we worked on this and saw good results, but productionizing them was a ways off.
The problem is if you do that you get outcompeted by the VC-funded competitors who are happy to shovel money into a furnace for the first 1m+ users.
> I guess it's strange to me how the Fed can pump every asset class to the moon, force companies to over hire to meet demand, and cause a huge inflationary problem for consumers

There were no consumer inflation issues for the past decade. It took a once in a life time pandemic supply shock to cause those issues. You're being unfair.

It's easy to blame the fed for all your problems. The fact is inflation was stable and the economy was just fine prior to the COVID19 pandemic. I don't think any amount of rate raises prior to 2020 would have had any appreciable impact on what we're facing now. Most of these layoffs are happening in the tech sector. Others are healthy. This isn't an economy wide problem yet. It's hard to not blame the individual companies for poor management.

> Instead I find I'm invited to blame the average business or home owner for being "reckless" for hiring to meet demand for buying a home for their family, while praising the Fed for "doing what's necessary"? Give me a break.

The fact is if you want what you want and want it now, and everyone else does, you have to pay. It's easy to say "oh they should've raised rates in 2017 or 2014" in 2022. It was much harder to say back then.
I don't get this:

* When to not use DuckDB: Multiple concurrent processes reading from a single writable database*

So no concurrent reads? Or is it no concurrent reads while writing?
[Link 1] Article boiling down to JK having an opinion and 5000 buzzwords and off-topic filler (modern journalism)

[Link 2] 1 Dev makes entire team antisemetic? A developer has different opinions than us, how dare he. The only reason WB did anything is because how dangerous the hate-mob can be with threats an PR. Good on WB for not caring about devs opinions when hiring and only how good they can code (AKA their jobs):

> "I'm happy to say that, even though I disclosed my YouTube channel to WB Games, it didn't appear to be an issue for them. Not that they endorse anything that I've said, of course, but at least they seem more concerned with making good games than with pushing some kind of a social justice agenda, so there is hope."

[Link 3] This is reaching so hard. Terminally online people trying to make up an insane meaning for a meaningless item in a video game.
I don't think it would be a stretch to say that we're in a cold war with China. Many modern battlefields aren't on the ground and fought with bullets. They are economic, political, and proxies. In cold wars you often have technological and economic races too (see cold war with Russia). Militaries believe that if you don't want a hot war to break out you wave the biggest {st,d}ick.

It would be naive to believe that military information is only important when bullets are being fired. This would be like saying that your class textbook is only useful when you're taking a test. (A cold war is like you have an upcoming test)
It is curious that e.g. Augsburger beer disappeared from local shelves about 25 years ago, and that I haven't seen Ballantine XXX or IPA in a while. But I gather that they are still out there.
What is the downside of keeping the "bad" ideas around forever other than you find it annoying? My point is that people only care that the backlog grows indefinitely because it disagrees with their sense of order. This is the type of thing an analytic thinker tends to care about, but the size of the backlog queue doesn't really have any meaningful impact on anything.

I'm not sure you can say no without stifling future input, or if you can it requires a lot of tact. People don't like rejection. Being rejected makes them less likely to try again in the future.
US likely have stockpiles of aging 9x due to replacement.
Are stringers like splines?
Well, to be clear, whenever you send or receive a DM, the admins of both instances can read them. Do people who send DMs even pay attention to who is the admin of the receiver's instance? Probably not.

Anyway, the ability to import public posts would be a big improvement.
Ha! Never gonna happen. Lifted truck driving concrete cowboys who live in my area get their rocks off at the stares they receive diagonally parking and taking up 2-3 spots. It’s a hobby for them.
You mentioned Substack, I’d like to question their model. With Medium they help with searching, although it needs an improvement, with Substack there is no such a thing, I have to subscribe to an author and read all his posts, but no human being can produce quality content 100% of time. I think they should change. Medium has better model, IMO
> What you say is true for every social network, you can find your little niche that works for you

It's not true for Twitter, which uses it's algorithm to force high-engagement outrage into your feed
There are more rare and expensive beers, but Bells is absolutely top tier quality for me.
Yes, probably that because Alaska and Hawaii were not admitted as states until 1959. Otherwise there would be Pearl Harbor counts as well.
I think your misunderstanding is that fully connected layers can operate in the same way that attention does — they can’t. A fully connected layer operates on one dimension at a time. Typically language models have two (plus a batch dimension). One dimension is your token/word dimension. The second is the hidden dimension.

The hidden dimension is constructed inside the model to create space where it can embed each token into a vector and then enrich that space with contextual information derived from the sequence. In order for that to occur, the model must have a means of transferring information from along the token dimension.

One way to accomplish this is to use a 2d convolution; however, the scope of a convolution is limited to the size of its kernel. A fully connected layer is the same as a 2d convolution with a kernel size of 1. So you can see that no information from neighboring tokens can be applied to the hidden space.

The standard self-attention equation has a global scope from the full matrix multiplication of the input tensor with its transpose. Each element of the resulting matrix demonstrates some interaction with every other token in the sequence. Next a softmax operation is applied, which acts as a gating or relevance function. Finally, this is multiplied back to the original input to build that information into the hidden dimension for each token.

There have been attempts to do similar operations using fully connected layers. Look at the architecture of SGUs (spatial getting units). In some applications, they have good performance, but because fully connected layers operate on each dimension independently and serially, they are not equivalent to attention.

Last, my best recommendation for anybody trying to understand attention is to stop reading articles and instead spend your time looking at the math. It’s usually much less confusing than any of the dozens of explanations floating around the web, including the one I just gave. The math is not too complicated, especially once you know the reasons for why we need to use it.
Ask HN: Would you pay for AI art on a T-shirt?
With AI as hot as it is right now, and AI art having (kind of) an aesthetic all its own, I get the feeling that this startup has a high potential value to effort ratio. An MVP would be:
- user submits a prompt and an art style
- pre-trained model responds with AI artwork
- user selects an artwork
- size, colour, add to cart, checkout
- use printing service and API to dropship the shirt
This type of MVP should only take 60-100 hours to build depending on how tuned the model is towards generating good looking tees. What are your thoughts?
How would Biden "end the project?" Say pretty please?
Funny story: I was in Spain several years ago and was talking to a guy I met about sailboats. I mentioned I had a boat, and he asked how big. I thought for a second and said "7 meters" so as not to be an ignorant American. He thought for a second and said "huh, 21 feet".
Sounds like you think someone sent a trial balloon
It's a lot more fiddly to do that if the package manager doesn't support you doing it. (In fact it might be impossible if it's using HTTPS)
Think you're misunderstanding the OP. Do you think rust is hard to use?
Two kills in two weeks? What an amazing 334 million USD aircraft. We should have more!
I've yet to read a single real problem.
I really don't care if you think all patents are bogus. That is the most boring conceivable debate to have. There is nothing special about seeds to change the argument; that's all I'm here to say.
Pretty neat, but I have lots of questions.

1. What GPUs do you offer?

2. How many generations can you do in the $8 credit?

3. Privacy Policy? Data Retention?

4. Which SD model / version is included?

5. Do the instances sleep / shut down when not in use similar to Heroku Dyno or Huggingface Spaces?

6. Where is Stablematic based out of? Where are your servers located?

7. If I custom train a model do I retain exclusive rights to it?

Thanks!
sveasoft
Thanks for the link! I've applied :)

This is for Autumn 2023, so I guess it is for 7 months from now.
There is a deep misunderstanding about how modern farms work. Farmers are smart - they have to do because there is no iterating on a bad crop. You fail once or twice (often because of reasons beyond your control like the weather) and you can be out of business. And failing might not be known until a 6-9 month long harvest.

Farmers love "Big Ag"'s seeds not because they are naive, but because they have a local sale rep who knows the soil conditions and can recommend a variety that will do well for them, and also has a lot of technology backing that up. And the farmers have a lot of their own data - both digital and well-worn knowledge from neighbors. They will gladly pay a lot for seed if they know that seed will produce N% more output.

And no one saves the crop seeds to plant next year, although they easily could despite EULAs, but they know that hybrid drift and other factors will make less money.

Like Smarter Every Day says, farmers are smart[0].

[0] https://www.youtube.com/watch?v=ywBV6M7VOFU
Inside BP’s Decision to Dial Back Its Green Transition
That is quite ugly. I’m sorry you’ve had that experience but I’m telling you: check out other servers. They’re really quite different and you’re in no way forced to engage in subcultures you’re not interested in. If you keep running into the same smell every where you go, it might not be that all of Mastodon is smelly.

It’s kind of like Reddit. There’s all kinds of slimy subreddits, but I just don’t join those and I never see their content or discourse.
More polish on coprolite dating techniques with tooling improvements in the lab?
Manifold zoning is definitely better in principle, but it's hard to compare neighborhoods that are farther apart.
Well if you're going to make me pick, I choose freedom of speech.
They flew a F35 next to the object. "Unknown" is an overloaded term and it isn't binary (known vs unknown). Plus, they said it was the size of a small car (remember the other balloon's payload was the size of a bus). So while you don't know what exactly that payload is and is doing, you do know it isn't just a go pro. You also know it isn't a velociraptor or Felix Baumgartner.
Then it's a good thing the US spends an order of magnitude more on weapons than anyone else.

The world will run out of helium before the US runs out of missiles.
If you're actually responsible you get appropriate approval for time and place for balloon launches. It's not hard and not doing so can get you just enormous fines.
1. That's a horrible description of unsoundness; you're making it sound like incompleteness!

2. What I meant to ask was: what does satvikpendem mean by "JS is unsound"? It's a dynamically typed language, so they can't be talking about soundness in the type system...
I think the issue here might be of a more general nature.

Would it be fair to say that we usually expect blogs to be free to read? I think yes, because that’s how it has been for some time -- somebody wants to share their thoughts, you want to read them, no money involved.

Now, some people run paid newsletters, and can charge you for their content, and you pay them if you feel like you’re getting value out of it. Investment advice, curated content, you name it.

But that’s precisely the thing: if a blog is paywalled, you can decide if you want to pay this exact author. But Medium is a platform. And it’s weird: why should you pay money to some platform on which some author is publishing a seemingly free to read blog? Without the value clearly communicated, it feels like a weird form of extortion.

There might be something to do about it, like along the lines of “hey our crazy AI recommendation engine can find some articles on the same topic for ya, just for three bucks a month”. Okay, but why would you do that if you still have search engines and stackoverflow? Where’s the value? I don’t know vOv
One of Evan’s colleagues from NoRedInk actually started his own language heavily inspired by Elm that aims to fix a lot of its ecosystem problems.

https://www.derw-lang.com

I’m not sure if it’ll go anywhere but I like the idea that it’s interoperable with existing JS/TS packages.
However rooftop solar reduces the need for a grid and grid maintenance. Are the deaths due to grid building and maintenance accounted for in these figures? It looks to be based on just production, not production plus distribution.
Consider that having already spent the money, they’d be paying for training flights anyway. You’re only hearing about this because they used a live missile.
I love the idea of flywheels as storage. The failure modes would be outrageous, giant discs rolling at high speeds hundreds of miles across the landscape. Or exploding into huge smooth faced fragments and strewn for miles around leaving deep craters. Relatively benign compared to fiery or radioactive explosions, it would be almost funny to get killed by one.
Sounds like you worked there and had a bad experience. Sorry to hear that. It’s somewhat different now.
Sveasoft wasn't OSS.
The Cartoon Guide to Computer Science (1983)
I don't think geojson is a great format for anything with more than a few MB of data.

I wanted to see exactly how bad it is with a largeish datasets, so I exported the New Zealand address dataset[1] with ~2.5M points as a geopackage (750MB) QGIS loads this fine its a little slow when viewing the entire country but when zoomed into city level it is almost instant to pan around.

Using ogr2ogr I converted it to ndgeojson (2.5GB), It crashed my QGIS while trying to load it. Using shuf I created a random 100,000 points geojson (~110MB) it was unbearably slow in QGIS while panning around 5+ seconds.

I currently use and recommend flatgeobuf[2] for most of my working datasets as it is super quick and doesn't need sqlite to read (eg in a browser).

It is also super easy to convert to/from with ogr2ogr

ogr2ogr -f flatgeobuf output.fgb input.geojson

[1] https://data.linz.govt.nz/layer/105689-nz-addresses/data/
[2] https://github.com/flatgeobuf/flatgeobuf
I don’t disagree. RSS has most of these features and was pretty popular 15 years ago.

My point is that key pairs and signed posts is a good primitive if things are to be re homed and retransmitted.
Presumably Lift / David Pollak, which haven't been relevant for about 10 years; the Scala community has gone through a lot of effort to remove bad actors since then, for the record (and while the drama lingers on, I don't think anyone would deny that standards are much higher now).
Is it steeper than Spring St roughly from the waterfront to the library? ; ) In any case, if it's a workout to walk the distance in 15m, then it's not really a 15m walk. I can cover way more ground in 15m if the assumption is that I'll be out of breath when I'm done... :P
I like tea (and coffee) though!
As an author, you can turn this off in the settings
I think it's generally referred to as salting
What makes Rust better at rapid prototyping? Cargo?

I find that modern C++ "kitchen sink" approach to features makes it good for rapid prototyping, a bit like Perl on the dynamic side. It won't force you into a specific approach, pick the one that gets you there the fastest. Use raw pointers and malloc(), or use fancy smart pointers and RAII, your choice, you can also do both, you have exceptions, you have goto, you can write(), printf() and cout, you have classes and lambdas and (multiple) inheritance and traits. More options are better for rapid prototyping.

Also, C++ is the most popular language for competitive programming, you can't get more "rapid" than that.
few oil tankers which go to China attacked by unidentified drones will shut them up for very long time.
Ok, so Jordan got lucky a couple times to get out of the first round. Also 1990 is not the 80's. He was pretty happy to hit that shot against Cleveland in the first round though, which shows how much of a struggle it was to get out of the first round.

> He joined a horrendous team when he was drafted.

So did Isiah Thomas. But Isiah Thomas won a championship in the 80's. Jordan was not someone Isiah worried about, his competition was Magic and Bird. Isiah also beat North Carolina in college in his sophomore year to win the NCAA (against Worthy and Perkins, Jordan wasn't on that team)

> Also, Pistons played as a team, and then Jordan took over and ended that era.

Actually the expansion of the NBA ended that era, because the Pistons were not able to keep Mahorn. If they kept that team together, Bulls don't win in 1991. If Worthy is healthy in 1991, Bulls don't win either. If Michael Cooper stayed with the Lakers that year, Bulls definitely don't win in 1991.

> Jordan was the leader of the best team of all time. The 95-96 Bulls. Any talk about "team game" in 80s and before doesn't change that.

Every team that won in the early 80's would have beat the 95-96 Bulls EASILY. This includes the 76ers. Magic won it in his first year in the league. Bird won it in his second year. Andrew Toney is one of the most underrated players ever. Jordan didn't win until everybody else got old.
China hasn’t indicated it cares a great deal about international law.

(One could make the same argument for the U.S., but that’s not the open question at the moment.)
> …maybe his youtube is a better link:

Maybe! I considered it, but thought the Kottke post's contextualization was better at allowing HNers to decide if it was up their alley.
Those are advertised as a "don't even bother" signal. There's a reason NORAD is a relatively vocal agency.

The full capabilities of satellite and sonar are hidden, but they're easily past the "good enough" line for any relevant military activities.
heads up.

the "How it Works" link is broken on home page of podsearch.page
the elm ecosystem is thriving.

what's interested me most recently are the various efforts to bring elm to the backend -

* choon keat's https://package.elm-lang.org/packages/choonkeat/elm-webapp/

* mario's https://lamdera.app/

* dillon's https://package.elm-lang.org/packages/dillonkearns/elm-pages...

What initially got my attention was that release which removed signals and abandoned FRP. I remember being struck by the idea of an emerging language that was stripping out major features. To me that suggested a strong vision. So I looked closer, and the suggestion was confirmed. My joy of Elm is as much about what it does not allow, as what it does.
There was an article featured the other day about how some communities on some subreddits become hostile when the community size gets too large [0] [1]. The article estimated that the critical size was Dunbar's number (150) raised to 2.5, which gives about 300k.

Mastodon.lol looks to have been around 67k up until recently [2] (which gives an exponent of about 2.2).

[0] https://news.ycombinator.com/item?id=34713553

[1] https://maximumeffort.substack.com/p/scaling-problems-in-soc...

[2] https://web.archive.org/web/20221122205835/https://mastodon....
The Cartoon Guide to Computer Science is pretty good: https://news.ycombinator.com/item?id=34748916
I got the notion you work in radio. I'm in range of KLCC or a station which rebroadcasts it.
> Cumulative capacity is not rate of construction.

Not sure what you are trying to argue here. Between 2010 and today China has increased it's nuclear electricity generating capacity from 10 GW to 53 GW. The increase is impressive both in relative and absolute terms.

How can you dismiss that?
The Snack-Cake Economy: How I Learned Money in Prison
Stuck on 36 too! 14 moves no matter how much I think about it!