skysight-inc/HackerNews huggingface dataset:
If this massively increases the cost of online deliveries, won’t it reduce demand significantly? Unless they limit or freeze who can do online deliveries (like they do for uber and lyft), I am not sure if the workers will really be better off.
It has an M2, dude. It's plenty powerful for "actual work".
It’s an article for people to validate their biases.

It’s deliberately empty so that people put in stupid, smart, lazy, energetic whoever they deem belongs there.
It's surprising how this blackout has shown how important reddit is in general, and that is what reddit should consider in regards of their financial future
Thanks for having Latent Space on it! :) I noticed we have two entries (because we changed the full name of the podcast) and some episodes are there twice if we tweaked the title. Are you pulling from our RSS feed?

Also curious about what models you are using on the backend; we use Claude 100k to do timestamps generation for show notes and whisper-diarization [0] for transcription. The main post for each episode is manually written though, as we try to write a higher level summary of the episode + topics in it.

[0] https://replicate.com/thomasmol/whisper-diarization
It is searchable now, at least: https://i.imgur.com/kFDSuHE.png
Two Rhode Island officials visited Philly
Agreed. Farms should not be businesses and should be taken over by the government.
I know, this is why I was asking, this would have been a news, not that Twitter is still up.
>that was how apple justified the cost of the device, so I think its a fair critique.

[Citation needed]
Maybe the ML model is predicting that popular curated sites generally have less spam?
Well, it depends on what you're asking the LLM to generate.

If I ask an LLM to write me an essay in the style of a caveman, the LLM simulates a redditor simulating a fictional caveman (who speaks english but with short words and bad grammar). After all, that's what was in the training data.

If I ask the same LLM to write me an essay in the style of a Harvard professor - who's to say the same thing doesn't happen?

So I can see how, when training a model, you might want it to know what's really written by a Harvard professor, and what merely professes to be.
That's kind of what's missing from all these summarisation services - what are the actual bits of content that are worth listening to amongst all the padding?
This is not about Autopilot, it’s about the “Full Self-Driving” system.
It may be a longstanding practice, but it's a foolish and aggravating one. Do you think HN's readers are so silly they don't understand claims made in headlines are not to be taken at face value?

The article advances a position and argues for it, which is reflected in the original headline formatted as a statement. It doesn't ask a question and then provide answers; the editorialized headline misrepresents the article's content.

EDIT: You've now rather spitefully changed the title to something that's even less representative of the contents—plucking a quote doesn't make it representative—and removes the intended allusion to recent conversations around the Google moat memo.
The problem is that the open internet is dying. What used to be blogs and forums now is Reddit. Tens of thousands (hundreds of thousands?) of communities that had their own wiki, blog, forum, ... are now reduced to be a Subreddit.

The Internet has become fragile. One service goes down and everybody suffers. If the top 10 services went down most people would think that there is no Internet at all.

E-Mail is the last standing service that is way more open that the rest. But the raise of Whatsapp and equivalents are challenging that. One day all our communication will depend on a monopoly. We are starting to know what would have happened if AT&T have never been split.
Show HN: I'm making one web game per month, here's game #1
Hey!

A while ago I discovered three.js, a JavaScript library to manipulate 3D objects. It looked really interesting, but I had no real need for it... until now!

In order to learn three.js, I'm challenging myself to make one 3D web game per month. And you can play the first game here: https://www.thomasfriday.com/clockwise/

Please let me know if you have any questions or feedback. Thanks!
Thanks so much! So about half of our enterprise customers use Credal in conjunction with either a self hosted LLM or Azure OpenAI (which you can debate, but most companies we've spoken to seem to treat their Azure OpenAI instance as equivalent to self hosted). In practice, you still need to:

1. Manage the permissions of making sure the self hosted LLM is only reading from the documents, slack channels, e.t.c. that the end user should actually have access to

2. Generate an audit log of exactly who did what when

So we actually see self hosted LLMs being a big part of how Credal is used! In the long term, we think Credal will actually become a tool for AI app developers to safely request access to data & embeddings from the enterprise on the fly, and make sure the data they get is appropriately controlled and the audit logs exist in a single place for the enterprise to see what data went to whom/when/why etc
Reminds me of this New Yorker piece about the death of a well-known Sherlock Holmes researcher: https://www.newyorker.com/magazine/2004/12/13/mysterious-cir...

At the risk of spoiling the surprise, the conclusion rather strongly implied is that he killed himself after coming to feel that he’d wasted his life devoting it to a second-rate author.
Building an Instagram Clone for Puppies Using Courier Inbox, Next.js and Inngest
Both I (and apparently the author of TFA) disagree with your definition of parallel programming. TFA gives an example of "embarrassingly parallel" programs as one way to make parallel programming simple.

The distinction I learned was: any time you have multiple logical threads of execution you have concurrency, any time you have multiple computations happening simultaneously, you have parallelism.

Multithreaded programming on a single core computer is concurrent, but not parallel. Vector processing is parallel, but not concurrent.
My single argument is that malls can fit inside an urban environment. None of your points really matter for that reason.
Make sure you travel via Penistone on your way there
I wasn't the mod who added the question mark, but I'd guess it's because it makes a grand and speculative claim about the two most hyped topics of recent months. Nothing wrong with that, but in an HN context it generally makes for shallower and hotter discussion, and that is not the best fit for a site like HN which is trying to go deeper. (Note that I said trying, not succeeding.) The question mark is one device we have for dampening that effect sometimes.

One sign of a linkbait title is when it claims a lot more than the article delivers. Usually such articles begin by walking back their own title, since it has served its purpose (getting attention) and is now a handicap (because the text has to deliver on what the title promised). I'm not saying you did this intentionally! But your article follows just this pattern, since by the time you get to the meat of it, the claim has become weaker and in fact has been turned into a question: "what if we thought of Reddit as, functionally, subservient to OpenAI?".

Another thing we often do is replace baity titles with representative language from the article itself. In this case we could do that by using your own question instead of appending a question mark to the original title. That is, we could make the HN title something like "What if we thought of Reddit as subservient to OpenAI?". I think I'll go ahead and do that, since using representative language from the article itself is arguably less of an intervention in this case.

p.s. I just put back your original title. It was a borderline case and not worth arguing over (but maybe the discussion was clarifying or of interest to some readers). Generally when there are strong protests about a title edit we just either roll it back or figure out something that people are happy with.
We're going to get more Quora results, huh? Please come back Reddit and save us.

Quora results are the worst. I can't believe how much management ruined Quora.
Huh, name.com has been hiding my PII just fine for years, for maybe a dozen most popular TLDs...
Not all pages are cached. If a cached copy exists, it'll be in the 3-dots menu.
I was hoping they'd go with iBalls

Probably never happening. I will, however name my own "iBalls" when I get it :)
I guess you missed this news:

https://www.theverge.com/2022/11/30/23486753/anker-eufy-secu...
Solid point. It's like when Uber stopped subsidizing their rides as much and people started freaking out. We get complacent thinking we deserve these services with little cost, when real humans are the ones providing these services and we're essentially thinking they shouldn't make enough money to live well.
Falling asleep at night after an upper endoscopy, I had a vague recollection of the feeling of retching during the procedure. I know that they try to sedate as lightly as possible, so maybe they undershot slightly in my case. I think I had asked the anesthesiologist what they gave me when I was waking up, because I felt particularly hung over, and they said it was propofol.
I didn't say all communities wanted to. I said it was interesting. Mainly my point is that it wouldn't be death for reddit if some of the largest subs went away entirely, along with the 'power mods' who control dozens of communities.

I have no doubt that mods of some of the smaller news subs, for instance, would be happy to start getting offers for tens of thousands of dollars to promote various articles.
If that was the reason it would have been best to state that in the request.

> Can I please just get the detail in mail so that it is archived with the list?

Of course you can't expect every email written to be perfect, it is generally treated as an informal medium in these settings. But stating the reason helps people understand your motives and serve them better.
There are a few other tools out there that are at least marginally better than the default Swagger UI such as ReDoc (https://github.com/Redocly/redoc).

When we redid the Mux docs (https://docs.mux.com/api-reference) we actually just decided to build our own renderer. It really wasn't as bad as you might think, at build time we pull in the JSON version of our OAS spec and render it as a static build in our Nextjs app. Don't get me wrong, it wasn't trivial, but the benefit of having complete control over the output has been well worth it.
Indeed, I just mean they are not bound to the official API like the apps that sparked the protest.

But Invidious, Nitter and Teddit have all faired well so far.
Broad generalizations about any group, especially those that are obviously incorrect, deserve criticism. Half of the human population is not a monolith, lamenting that "women" all feel the same way about something just makes everyone else think you've never talked to many.

Tons of comments here are basically "women only care about using your money" which is just obviously untrue in the aggregate but does reveal that you have only interacted with gold diggers. It says much more about the commenter than women.
NYC’s Rent Surge Defied by New Grads Pursuing a TikTok Lifestyle
wow, this is extremely helpful
These are both great questions.

> I take it if you do greedily go from left to right, you end up with different tokenization and the model doesn't work properly because that isn't what it was trained with?

The way that the LLaMA tokenizer works is, a word is tokenized one way within a certain context, and a different way within a different context. If you go greedily from left to right, you will find mostly the same tokenizations for words, but occasionally the tokenization will be different. It will still be a legitimate tokenization for the word, though, so the model will not spew nonsense if you feed these tokens into it. I assume the outputs of the model would be slightly suboptimal, but the difference might be so small that nobody notices anything.

Anyway, I don't expect anyone to use this library in a manner where they will turn text to tokens with this library, and then feed the tokens to the model. I expect people to use this library to count tokens, dynamically iterate on the prompt to fit within the token limit, and then eventually send raw text to the model, which performs the tokenization by itself. If we think about this use case, and we consider what would happen if we just greedily tokenized from left to right, it would be mostly fine, because our token counts would be pretty close to the real token count. But occasionally it wouldn't be fine: occasionally our greedy tokenizer would say that we are below the token limit, when actually we're beyond the token limit. In this case the model would either return an error, or it would automatically trim some part of the prompt. If the prompt is automatically trimmed, it might be trimmed from the wrong place. For example, oobabooga trims the prompt from the beginning, when you typically would want to trim the prompt from the middle.

> Did the model designers choose this 'difficult' tokenization because it performs better?

I'm not sure. LLaMA is using a SentencePiece BPE tokenizer, and the most-often touted benefit of this tokenizer is that it can fluently deal with multiple different languages. So it's possible that they chose this to support multiple different languages, not to maximize the quality of output in the English language.
So I've been working on a side project to make a Youtube channel I watch have its content be more discoverable through text. I've had great results by scraping the Youtube transcription, and running that for a few passes through GPT 3.5 with some prompts to essentially act as an editor. The original transcription was often terrible in some spots. Just whole phrases or multiple words mistranscribed throughout. For almost all of them, GPT 3.5 was able to clean them up and restore the original meaning through understanding the context of the monolog and fixing obviously incorrect words or phrases.

I've watched through a sample of about 20 of the 3,000 videos I'm working through, and the corrected transcription really did an amazing job at restoring the original meaning from the spoken words that was hard to understand from the original machine transcription.
What Reddit Got Wrong
They're very high on my trust-o-meter too. Never bought a bad product from them, and if someone asks me a question that should really have a very long and boring answer like "which USB-C cable should I buy?" I tend to just tell them to buy Anker.
Please take your own advice. Your reliance on fallacies, falsehoods, and repetition is toxic to civil discourse, and that's before we even get to the explicit accusation that everyone who disagrees with you has tunnel vision. Tone policing never works when it comes from the worst offender.
I get where you're coming from too, I've read plenty of RA Wilson for example, and the Autonomedia stuff.

I'd argue there are other ways of confronting the "animal" as you put it, but I have to leave the house now. Good talking.
Hasn't been my experience. People who overthink will always overthink. People who play safe and love to discuss things until the sun comes up, will do just that. People who want to be hands on, break things first and then try it again with new information will do exactly that.

Whenever I see people overcomplicate things, the idea usually comes from a senior and then passed down to the chain of loyal followers. We can have a debate on whether that is a 'true senior', but the books sold, praised by the majority of the dev crowd and then recommended by said seniors don't lie. 5+ years or 40+ years, there have been those going for 'crazy new libraries, patterns and ideas', even bold enough to claim things that no study has been able to back up so far.

And god forbid sometimes a mid-level does figure out something can be done in a better way and the seniors ignore it while stuck in their old ways.
> Quora is a shithole

It's actually funny how much this is true. They used to be a quality source of info, but these days the default option is to show "all related" so you don't even get direct answers to the question you searched for, ads from top to bottom (and even somewhere in between) and just hordes of bots answering nonsense. At least they made it official with Chatgpt integration now lol.
I'm not entirely sure what that implies. It's in the consumer's best interest to check reviews of products when selecting something to buy. How else would you wade through competing options?

Furthermore, 4chan has no search feature so I don't know how that's even equivalent.
These VC's: they suffer from Reverse Imposter Syndrome (tm), commonly found in "elite" institutions, as I outlined in here:

https://albertcory50.substack.com/p/when-talent-is-not-enoug...

That's when you think you're smart enough to be there, but you're really not.
on* course
Think you're tilting at windmills friend. You've described the same situation they did, just in esteemed tones.

I think most folks expectation is that since we know so much about so many things that our level of understanding about the brain and psychiatric treatment is more advanced than it is, who are then surprised to find out that some (all?) treatments are basically just modifying the behavior of a messenger chemical across the whole of the brain.
>Huh? Nothing about using SSR means designers have to write SQL.

I said front end devs, not designers. And that is literally called out as a specific proposed benefit in the article.
Demand and tips. I tip my delivery drivers because I know they aren't making $20 an hour. I won't anymore.
> A Yelp post from December 2017 was the first crucial clue. “Melissa R.” wrote, “I was offered money to leave a positive review for Savant Care Clinic. Must be a shady company.” The user attached Craigslist screenshots of the apparent offer, which Dean took her own screenshot of just before Yelp removed the post for violating its terms of service.

Why would Yelp forbid people from talking about this? While it is certainly possible to create fake email screenshots, this seems like a relatively small risk compared to the much more common risk that's being called out here.

I guess they just don't want people to know how common this type of occurrence is, since it would undermine all trust in their platform.
I believe LLVM was chosen because it was easier to make new compilers to work with it. GCC's intermediate representation was a bit of a mess for a long time and from what I understand, Apple did not find GCC's Objective-C support to be satisfactory.
I think a lot of it is that, in a modern world where we don't have kids out in the fields or milking the cows, we want something for them to do before sending them off to college (for which they need prep but probably not 12-13 years of it). And, on the other side, companies aren't really incentivized to do a lot of training of employees who will probably be gone in 3 years anyway. And the employees are often not really rewarded for doing training rather than their day job.

The military example is probably instructive because that's a case where a long-term career in a given military is relatively common.
"Publicly saying one thing and then turning out to have been doing something different when someone blows the whistle or it comes out in a lawsuit would be far more damaging to them than just not making the commitment."

If they did it would be far from the first or even the millionth time a company has said one thing and done another... even when it's ostensibly illegal, immoral, or merely bad PR. Most of them get away with it too, or get just a slap on the wrist if they're ever caught.

The people responsible usually suffer no personal consequences, and just go on to get cushy jobs in other companies if they're ever fired, or have enough "fuck you money" to not even ever worrying about having a job for the rest of their life. That's assuming there are actual professional consequences, where there often aren't.. some even get away with getting huge bonuses while they drag their companies through the gutter and in to the ground.
not great formatting but available in the comments on reddit: https://www.reddit.com/r/biotech/comments/147o153/does_anyon...
Ask HN: What is your uptime?
My primary workstation is a Mac mini, and I recently applied all available macOS system updates. Before that, my uptime was well over a year.

How often do you shutdown / reboot your personal computer(s) and why?
Thank you for this - after reading Blood Meridian I have been looking for something exactly like this to help me process it.
Food delivery startups were a scam anyway.

It was always performed by under-the-table workers and somehow VCs thought there's money to be made there.
What about Reddit search quietly powered by ChatGPT4

I’m day dreaming about Reddit telling OpenAI to foot the search bill or they’ll make the case that OpenAI needs to remove all of Reddit from its training?
Are all calories created equal? Your gut microbes don’t think so.
Apparently they taught you there to never verify your knowledge not even if multiple other people point out you're wrong. A strong, religious-like conviction is all you need, it's not like you could possibly be in error. Of course a web search engine cannot lead to valuable information, therefore it is reasonable to ridicule anyone who uses it.
simple and fun!
There is a base alternative, which I'm going to choose, and that's just to use social media less. Not going back to Reddit even if another alternative doesn't pop up.
what does “win” even mean in this context? i think there’s about a 0% chance that reddit reverses course on API access.

reddit is obviously not going to cease to exist. the only question is how much, if at all, the blackout and departing users costs them.

if very popular subreddits stay private, reddit either has to accept that or depose the existing mods and open the subreddits again. obviously, this has the potential to reaaaallllllly piss off folks.

it’s a loss for all parties imo. but whatever, most subreddits are a cesspit of low-effort repetitive content where actual conversation is promptly downvoted.

i don’t know what the answer is but i’d happily give up reddit in favor of a few high-quality narrower communities.
Enshittification was already causing reddit to ruin google results.

Reddit's new garbage redesign contains other posts from a subreddit in the page. So often times you'll google a term and get a link that looks like exactly the post you want, but it ends up being a different post in the same subreddit, and the one you were looking for was just in the suggested posts for that one.

Also, reddit has ruined filtering by time somehow. I'll often try to search for information on e.g. a new update for a game and find posts from years ago about old mechanics, despite filtering to "last 30 days"
I spent weeks on the typography and on choosing a font. Went through so many different styles. I ended up on Owners by MCKL [^0] because I personally like the ultra-wide font trend, and I liked its Text variant as well. Bummed to hear that others aren't a fan of it. Oh well, design is pretty subjective.

And it may be over-designed. It was my first foray back into design since switching careers to programming about 10 years ago. Maybe I took it a bit too far? Felt good to stretch those muscles, though. :)

[^0]: https://mckltype.com/owners/
I suspect that a. Adequate pay for the delivery person, and b. Adequate profit for both the restaurant and delivery app result in a price few would be willing to pay, yes.

You can only slice this pie so many times.
I appreciate Karl as the technical Bulldog for AR, doing really good technical analysis for the field.

Even as someone steeped in this space, the fact of the 3-element AVP was news to me. That is a pretty big difference from other designs and tells me they are reaching for anything they can to squeeze optimizations out.

AR is really really hard.