skysight-inc/HackerNews huggingface dataset:
Having played with many matchbox, corgi and hot wheels cars last century I was surprised that nowhere was rolling resistance mentioned in the article. Matchbox, who made superb diecast replicas of real vehicles under license didn't roll very well as they were heavy with thick wire axles and a broad tire contact point. The whole point of the cheaply made HotWheels cars was that they had fine wire axles and rolled on a very narrow lip on the plastic wheel/tire, which meant their lack of rolling resistance made them much nimbler. Matchbox cars would barely roll on the plastic track Mattel sold, where the hotwheels cars could loop the loop etc.
The hotwheels styling paid homage but rarely royalties to Ed Roth, Gene Winfield, Ed Barris and particularly Bill Cushenberry bubble top creations.

By the 90s they were just cheap poorly designed diecast toys after the huge trend for innovative full size custom show cars waned in the 80's.
There's a lot of complexity in using WebAssembly, but I thought this article did a good job of focusing on one specific point of confusion: why there are multiple compile targets, and what the difference between emscripten and WASI are.
It's still interesting to think about given America's current gerontocracy. My last position put me in contact with a fair amount of local and state level politicians in the US and I'm very concerned about the talent bases/pipelines of the political class here.

There but for the grace of God...
But that's an argument against solar rather than against the notion of retail compensation rather than wholesale for boutique-scale production of solar (which is what the main topic on this subthread seemed to be).
This is a big deal to me. What's stopping normal microcontroller platforms like Zephyr from providing dynamic loading of programs?

It'd be great for iteration to have a solid OS that cares about networking and updates and a an application layer you can move fast and break things with without risking soft-bricking your device.

I'm currently finding this with interpreted platforms like Espruino and Micropython, but don't understand at all why they have to be the only ones making this possible.
It's interesting that your solution to the problem was spending your time writing an app rather than working on your writing skills. That may be some of your problem right there. You don't actually value it. You've no doubt improved your coding skills with no improvement in your writing skills.

It might help to look at it in reverse to see the problem with your approach. Imagine someone with a degree in journalism saying, "I need to improve my coding skills" and going out and writing a blog post about coding instead of doing any actual coding.
But it can already write things that rhyme
So here's the paper that got everyone fired up: https://www.matthewtancik.com/nerf

My very short summary: Let's model the scene as a function (x,y,z,u,v)->(R,G,B,d). That is for a given ray origin and direction, give us the corresponding radiance and density. Take a deep network, and train it to approximate this function on a scene produced from renderings or video/photos. Now you can use techniques from volumetric rendering (ray marching as used for clouds and such) to render novel views of the scene.

I'd really suggest watching the video part way down the page though. These representations do shockingly good at occlusion, which is the difficult problem in rendering.

I think this paradigm opens up a lot of interesting possibilities. The elephant in the room is training time, but with good enough compositing of static assets this could still make sense. The trained models are extremely compact.

Edit:

Oh forgot your second idea. With offline path tracers there are techniques like that. The most elegant is perhaps Metropolis Light Transport, which uses a random walk through the space of possible paths, adjusting step size based on how "interesting" the region its in is. There's also Importance Sampling... lots and lots of ideas in the research literature.

But also for cinema rendering a lot of the time it's just "oh we shoot 64 paths per pixel no matter what" because that produces very even noise grain and very good antialiasing. If you use some technique that has temporal biases about noise across sequences of frames it tends to get picked up by the viewer easily.
There is an argument to be made that the busy work and good pay of megacorps is basically designed to keep talent in place that could otherwise run off and potentially make a competitor.
If Anna Soubry was still an MP then the entire country would be on a different trajectory. Even though Brexit happened only 3 years ago. Definitely.
I'd love to hear the opinion of someone who has really good knowledge and experience of how byte-pair encoding works in models like these. I think I agree with you that in theory it should be able to build a phonology from the amount of explicitly rhyming material in its training corpus, but for whatever reason it doesn't do this or at least doesn't do it consistently.

I've spend a long time testing this in ChatGPT, and no matter what I do it still gives results like this (paraphrasing here because it's down right now):

>What words rhyme with coffee?
>
doff
happy
toffee
snuff
duff

> Does "snuff" rhyme with "coffee"?
>

Yes because they both share the 'o' vowel sound.
I did this as well. Asked it to provide some generic answers and used those as templates for filling in my own facts. It saved me a huge amount of time. Best performance review of my life, both in terms of quality of the review as well as minimizing the time required to write it.

My wife and I did the same thing to write the note that will go out with our family Christmas card.

This tech is a game changer for people who do not like to bullshit but find it a necessary part of life.
HN, please explain this joke to me.

A mathematician asks a computer to explain jokes, but ends up explaining jokes to the computer.
Another attempt at monetisation, just like spill-app.com. Somebody start making a list, we are going to see a lot of “Twitter alternatives” in the near future.
The first sentence of this article literally makes no sense.
They could be proactive in protection us companies from ransomware attacks but instead they worry about social media posts.
I only use Abe for fitness apps about 1 hour a day and frankly the weight isn’t a problem for that period of time with intense movements.

In fact I think the other use cases are bogus, everything else is unimpressive to me except the ability to have a decent fitness experience with FitXR or Beatsaber.
Out of curiosity, where does this leave you with non-human animals?
The whole idea of dozens of channels is just dysfunctional to begin with. OPs case of 1000+ is the worst I heard of.

Chat channels usually only have two types of contents; Announcements important enough to be sent to everyone or questions of the kind like “does anyone know how to…”. Some times you also find technical decisions although such usually happen outside the channels in other meetings.

Channels are then narrowed down into specialist areas. What I often see is that channels are only grouped by area and not by content type, so in order to catch important announcements, one must also wade through all the questions and other unrelated topics, in all the channels, to feel comfortable you are not missing out on something. At the same time helping people out on the way is very rewarding and addictive but easily consumes all your time.
The empty list
Yes.
I do wonder how much of the metrics obsession of the ZIRP, FAANG-growth era was basically papering over the fact that the big problems were solved and they had massively overtired ...
Your theory appears to be that with the shift to EVs over the next 15-20 years, most people will shift manufacturers to an EV-specific one, specifically Tesla.

But it's at least as reasonable to think that people will keep buying EV versions of their favorite cars. Not only is there significant brand loyalty in the car markets, but there's no particular reason to think that Telsa can be all things to all people. Tesla only has 3 models total; Toyota alone has 5 models on the top-25 list. The current Tesla model lineup appeals to a pretty specific demographic, and I don't see much sign Telsa can expand beyond that.

There's plenty of sign that other manufacturers will catch up. Consumer Reports has studied 20 EVs. They recommend 5. Tesla only has one model they recommend, and it's in the middle the scores for those 5. The Kia EV 6 gets a 91 and the Genesis GV60 gets an 84. The Tesla Model 3 gets a 78.

That's all before we get to Musk. Tesla got gobs of free publicity and cheap capital because of his PR savvy. But that has now gone into reverse, with no sign that Musk even thinks that's a problem: https://seekingalpha.com/article/4562466-can-tesla-survive-w...

And personally, I think "Tesla is a tech stock" and "Tesla will become the dominant car manufacturer" are theses that are at odds. Tech stocks are high margin businesses. Niche luxury cars, as Tesla has been to this point, can be high-margin efforts. But the mainstream market won't be.
It doesn’t matter what I believe - but I do think SCOTUS will have something interesting to say here.
There's a typo in one link. The RAR download for "The Remains of Tom Lehrer (disc 1)" links to [0]; it should link to [1].

[0]: https://tomlehrersongs.com/wp-content/uploads/2021/10/trotll...

[1]: https://tomlehrersongs.com/wp-content/uploads/2021/10/trotl1...
It’s possible to deliver criticism in an optimistic way, if it’s impersonal and concrete (according to M Seligman). BTW, that’s also a standard for academic criticism. But there is a difference between allowing only optimistic criticism and banning criticism at all. That’s the problem with both tech culture and academia these days.
a) IIRC, the slogan was "Stalin Brutally Optimises"

b) non-hackers pick names in hopes of glorification by reference; hackers pick names that are pejorative: eg git

Когда называть вещи, щепки летят.
> Mazars has since deleted all crypto reports from its website.

Are those reports something an accounting firm is supposed to either stand behind or formally retract?

Does removing the reports constitute a retraction, or is it normal when a business relationship ends, or is it improper?
Investing in Mozilla’s Next Chapter
The information is still relevant to someone who wants to ship wasm code today. AFAIK no browser supports the component model, and interface types never made it past proposal stage in favor of the component model.
Hi dkozel, your post prompted me to look into the Microsoft Ergonomic keyboard and Anker vertical mouse as I do often feel a tiredness in the lower arms and shoulders, which I haven’t paid attention to so far, but will now.

What does RSI mean?
Building Your Own Programming Language from Scratch
Way hay we're out of memory
Way hay our disk is thrashing
Way hay I need more coffee
Early in the morning!

What can you do with a process ID
What can you do with a process ID
What can you do with a process ID
Early in the morning?

Send a SIGKILL to its process
Send a SIGKILL to its process
Send a SIGKILL to its process
Early in the morning!
Well, it does try to identify the setup, punchline, and what the subversion of expectations is. It does provide an (often wrongheaded) explanation of what's being subverted. I find that impressive.
Too much brain for so bad purpose. I am glad that Carmack makes his move to go forward. He is a brilliant programmer.
Is it really clear that GPT does not "know" the letters that compose a token? It is pretty amazing at poetry and rhyming. Probably it is able to infer from all this knowledge that "in ten did" and "intended" sound/spell roughly the same.
We know experimentally that it doesn't... It can reproduce certain rhymes when it's generating a song, but the original GPT-3 was terrible at this, so I think they've fine tuned the model specifically for lyrics or poetry.

I just asked ChatGPT: Do "not" and "knot" sound similar?

> "Not" and "knot" do not sound similar. They are two distinct words that are pronounced differently and have different meanings. "Not" is a negation word that is pronounced with a short, sharp "n" sound followed by a long "o" sound and a "t" sound. "Knot" is a noun that refers to a tangled mass of something, such as rope or thread, and is pronounced with a short "k" sound followed by a long "o" sound and a "t" sound. Despite their similar spellings, "not" and "knot" are not homophones, which are words that are pronounced the same but have different meanings.
Hadn't Starmer already replaced Corbyn by the last election? I don't think you can blame this on him. I don't think he's really the most unpopular element of Labour either. Even after most media was slandering him as an "antisemite" and all that other garbage because neoliberals have captured all of the institutions in the UK.
Now that the standard GUI framework for Windows apps is Electron, there is no point in spending resources on legacy WPF.

Much better investing that time in the actual tools that devs use, VS Code and Chromium.
The tab icon has the notification dot that drives me crazy. I close the tab whenever I'm not using it.
if all relevant business transactions and arrangements are properly logged, what more is there to do than algorithmically digest these records and produce a result?

i'm trying to understand what the necessary human element is in the operation of accounting firms.

i imagine there are strategic aspects, i.e. how to categorize and structure future transactions?
Show me one with an integrated serial adapter and I'll buy it. I know how to generally program things via UART, but really would prefer not having to bother with it. It's not a great development experience.

Pine64 keep making these silly little mistakes limiting their products' appeal.
I don't agree. ChatGPT explains all jokes as a play on words that defies expectations. It's as if it's learned "A joke is a play on words that defies expectations".

I'd like to try this game, but OpenAI insists on having both my email address and my mobile number. Sorry guys, that won't wash, all I want is to have a lark. I'm not dropping my pants for that privilege.

As far as Turing tests are concerned: I notice that ChatGPT didn't "get" any of the jokes. If I don't get a joke, it's "Huh?" or "I don't get it". So you can tell ChatGPT from a human by asking it to explain a joke that simply isn't funny.
I wonder if these support hibernation. I’ve been looking for something to build a dash in my car that can run Linux at a decent pace to have my tuning software running on it. But I need it to turn on and off on its own (ideally hibernate so it boots faster), or be low power enough that it can use the car battery without draining it in a week.
> Hadn't Starmer already replaced Corbyn by the last election?

No.
I wish to remind everyone who is lamenting the loss of tech in San Francisco or their favorite lunch spot… remember when you blamed tech workers for high rent prices due to their audacity to live where they worked? Now that they’ve left. Are you happy now?
I recently posted some of my feelings related to watching the UK post-2019 from the US as a Brit that left as part of the ongoing brain drain.[1]

I received my Green Card since that post and I've booked my flights for a visit to the UK for early next year.

Mostly I just want to share how sad reading this article made me feel this morning.

[1]: https://news.ycombinator.com/item?id=33682030
ChatGPT emits bullshit, but wouldn't we fault most high schoolers with the same thing in their homework essays? ;)
Because, GTK, that's why

https://gitlab.gnome.org/GNOME/gtk/-/commit/1bdb78a215f5e119...

https://wiki.installgentoo.com/wiki/File_Picker_meme
The way we elect a prime minister (i.e. we don't) plays a large part here I think. Parties themselves select the leader.

Johnson, Corbyn, Truss, Sunak - all voted in by relatively small numbers of people (e.g. 80k in the case of Truss IIRC), yet they are somehow the leader of the party and potentially even PM.

This is where labour shat the bed I think with Corbyn - totally obvious that he would be terrible as a PM yet the favourite of the popular vote of self-selected labour party, who of course are too extreme to represent the common person on the street.
You seem to have misread the sentence. Having a municipality that runs a utility is not at all related to how a US state could seize the assets of a private company, fire the Board of Directors and steal the ownership shares from all of its investors (large or small) in order to make it a state run enterprise.

So no, that's not how.
It’s also the heavy manipulation of the free and social press by Murdoch, Paul Darce and state actors.
I believe this is fine-tuning. If you ask it about a rhyming word pair, it has a terrible hit rate. Ask it if "not" and "knot" rhyme.
Google introduces end-to-end encryption for Gmail on the web
The economist engages in the usual Brexit bashing, drowns the reader in irrelevant historical references and artfully omits multiple elephants in the room.
Having worked very closely with numerous toddler and preschool children continuously from 2-6 and still observing many others doing this:

The base state of the child is absolutely evolutionary (at a population level): male children are less responsible/compliant and female children are more responsible/compliant from the outset.

This makes girls easy to (even accidentally) make responsible.

Teachers and parents generally easily spend 10x to 100x the effort trying to make boys responsible but do not succeed at nearly the same rates by the same ages. Girls learn faster.
The Happiness-Accuracy Tradeoff and the Limits of Rationality
IMO if you have heat pump water heater, recycling dirty water would be good albeit complex way to reclaim the heat.
Since you aren't a native speaker, I believe some degree of imperfection in speech and writing is acceptable especially if the people you're working with are aware of this.

That is not to say you should remain stagnant and not try to improve though.

Many have suggested you take up some form of writing to improve but IME reading high-quality text (newspaper articles, classic literature books) is a more efficient way that will help you imitate the caliber of native speakers in the long term.
Write some longer articles. Start with a single sentence that says what you want people to learn. Then turn that into a set of bullet points that explains the steps involved from the background to the problem all the way to how it's solved and why you think that is a reasonable solution. Then just add details and turn the bullet tree into paragraphs.

This should help you get better at writing. Writing was my weakest subject in school.
The neural representations that I think the parent poster was referring to, are things like NERF - (Neural Radiance Field). These operate on finished images of a scene, and are more akin to a lightfield encoding method than anything to do with ray tracing.
Read “On Writing Well”, by William Zinsser. Journalism schools often assign it to first-years. I speak English natively, and have no trouble with grammar. It still made me better at my job.

---

Would not be interested in paying for the app. Current models summarize well, and can rewrite for tone too. But clear technical communication requires understanding the underlying logic, which LLMs haven’t quite cracked yet.
I'm naturally less compassionate towards mean/cruel/"evil" people, or to be honest, people I just dislike for less reasonable reasons. It takes mental effort for me to attempt to feel as much compassion for all people equally.
What are the elephants in the room?
But there's no information in the song lyrics to indicate that it's anything to do with LGBT. I have heard it on the radio for years and had no idea until I saw the music video. So I'm not sure I'd say that it's "missed" - I'd probably ascribe a similar meaning going off of just the lyrics.

On the other hand...this one was totally a swing and a miss.

https://www.songtell.com/g-nther/ding-dong-song

Edit: quoted cause server is getting overloaded:

> "Ding Dong Song" by Günther is a dance-pop love song about searching for love in the night. The chorus and verses repeat the phrase "you touch my tralala," which is a playful and affectionate way of expressing affection for someone. The song's title, "Ding Dong Song," refers to the phrase that is repeated in the chorus: "Mmm, my ding ding dong". This could be interpreted as a representation of the feeling of joy and excitement that comes with finding and expressing love for someone. The song is about the longing for a connection with a special person and the joy that comes from having that connection.
What's really interesting to me is how easy it is to talk to it conversationally and get an appropriate response. Inspired by this post, for instance, I just now tried asking it to explain the joke: "Two men walk into a bar, the third man ducks." It's initial response was nonsense:

> The joke is funny because it relies on a play on words and a surprise ending. The first two lines set up the expectation that something is going to happen to the two men who are walking into the bar, but the punchline subverts that expectation by introducing a third man who ducks, which is a unexpected and humorous twist.

I asked what wordplay was involved, and it told me this:

> The word play in the joke involves the use of the word "walk" in the first two lines and the word "duck" in the punchline. In the first two lines, "walk" is used in the literal sense, as in moving forward on foot. However, in the punchline, "duck" is used in the sense of avoiding or evading something, rather than its literal meaning of a type of bird. This sudden shift in the meaning of the word "duck" is what creates the surprise and humor in the joke.

More nonsense. But then I told it "It's actually the word "bar" that's being used in the wordplay. The word "duck" there just means evading something" and asked it to explain the joke again, and it returned this:

> In the first two lines of the joke, "walk into a bar" is used in the literal sense, as in two men entering a place where drinks are served. However, in the punchline, "bar" is used in the sense of a barrier or obstacle, rather than its literal meaning of a type of establishment. The punchline introduces a third man who "ducks" under the perceived obstacle, which is a unexpected and humorous twist. The joke also relies on the idea that walking into a bar is a common and mundane activity, so the unexpected ending adds a element of absurdity to the joke.

Though the initial response was nonsense, talking to it as if it were a human and giving it a limited hint (telling it the wordplay involved "bar" and not "duck") was enough for it to give the correct answer.

I think this is probably why so many people say they're underwhelmed. A lot of the initial responses to simplistic questions aren't so interesting. But the degree to which it is able to correctly adapt and respond to conversational input is fairly astounding.
I've tried using various digital Todo lists but nothing compares to the sticky notes on my monitor.
I don’t think overwhelming is the right word, his vote share was around Blair’s average.

Now that half of Tory MPs have been cabinet members, it’s harder to demand loyalty by dangling a job for votes. Especially the ministerial roles that the public are aware of.

The article seems to be avoiding the term "lame duck period". It reads an excessively selective set of opinions, and it's unclear who should be trying harder.
Txtify – Convert web articles to plain text