skysight-inc/HackerNews huggingface dataset:
Obsidian has been a game changer. It has replaced all my note taking at home and at work. The absence of lock-in is a big factor for me. But the clincher has been the plugin system - it already has rich features but whatever is missing has been more than covered by the whole host of actually useful plugins. I bought their Catalyst license[0] just to support their development - unless something really weird happens, I think my quest for note taking apps has ended.
And this is how the dealer model will crumble, and the consumer will end up FAR better off on the other side. Thanks Tesla!
It refuses.

In general, ChatGPT doesn't have copyright books in its training data. But for something as popular as Harry Potter, it's likely plastered all over the internet enough that at least sections of it are in its training data, if not the whole series.
Do the two outside then the two inside
> By removing these arbitrary constraints htmx completes HTML as a hypertext

I agree, this is interesting. I even agree, htmx is probably a polyfill waiting for the browser standards to catch up.

That said, trying to make a markup language smart is a losing battle in the long-term. It makes simple things like `if` and `while` difficult. Markup also really struggles with time / interactivity.

e.g. What should be displayed when a form is invalid? https://htmx.org/docs/#validation-example is just not ergonomic even for a simple case, let alone complex validations that interact with other fields, are async, etc.

I get a allure of wanting "only a markup language", however, it just isn't enough to be competitive for 95% of web development these days. In a different response you say "if you're building the next Gmail, fine use React, but you don't need React for picking between 3 colors to order a shirt". This is true, but it is fundamentally lacking the realization that no company wants to end their feature set at 3 colors for a shirt. They "want" to build a foundation quickly, but then enhance it to be able to custom create the shirt for exactly your body sizes and allow interactive movement of the "logo" or "graphic" anywhere on the shirt. They want the validation to ensure the shirt can be printed, and they want to ensure their logistics network is dynamically updating the order history for live tracking of the package.

To get there, the best thing to do is to use React (or similar) even when it is "just 3 colors".
I've paid for the app, the top tier. I am not on the app to avoid ads. The ads on the Reddit app aren't why I hate it. The entire UX is crap. There are zero features on the official app that are usable to me.

I would happily pay for Apollo on its own backend, and more than happily see ads.

All I am asking for is the Apollo apps front end, this app is the only thing that makes Reddit or a site like Reddit usable for me.
I’ve been working directly with OpenAI’s access, are there any other advantages to doing this through Azure?
Complicated legal issues of having the cake and eating it too.
Yes, and in threaded discussions if you jump in in the middle like this it's assumed you're continuing the downward trajectory of the discussion. Otherwise you would have replied to someone higher up the thread. I'm in no way assuming that you hold any opinion in particular just that the discussion has circled back.

I think you assume a tone that I absolutely do not have. I couldn't care less about 4chan drama and I don't go there anymore for the reasons you listed. I'm talking about my own experience and trying to make my case for the, apparently controversial, idea that words can and do affect people and that total
emotional detachment is the exception rather than the rule. And of course that's the case, 4chan's whole thing is using offensive language to select specifically for the subset of people who can tolerate it.
Bard image results include previously generated StableDiffusion images
Privacy, where there's a problem if some original data can be inferred/made out (even using a white box attack against the model), is a higher bar than whether an image generator avoids copyright-infringing output under non-adversarial usage. Additionally, compared to image data, text is more prone to exact matches due to lower dimensionality and usually training with less data per parameter.

While it's still a topic deserving of research and mitigation, by the time your information has been scooped up by Common Crawl and trained on by some LLM it's probably in many other places that attackers are more realistically likely to look (search engine caches, Common Crawl downloads, sites specifically for scooping credentials, ...) before trying to extract it from the LLM.
I don't use LH on mobile because there is no decent app. When Reddit 3rd party apps stop working I'll just stop using Reddit on mobile. Also on Desktop, only old reddit makes it worth my time. The moment old reddit is turned off Reddit is over for me.
As a computational physics researcher, I can't see any difference between DNN model and human-deduced model except DNN model works because a corpus of data is used to find unknown parameters in the model to approximate probability mass function within a very specific system WE CAN CHOOSE and breadth of the scope WE CAN LIMIT. Risks those so called AI experts are saying already existed before and could be instigated by already existing non-DNN models, and we already have laws and measures to prevent them and we are still alive
It wasn't just Jewish people, it was any group associated with the USSR. Socialists, communists, etc.

Anyways, I'm sure the European fascists will be right this time, and nothing will go wrong.
Nope.

My point is I'm not trying to solve all of our problems and framing it like I am is as ridiculous as some rando on the internet accusing me of not enjoying sex as some kind of bizarre cheap shot.
What do you not understand in the phrases: "Worker vote registration" and "businesses and other organisations"?

It is workplaces that nominate voters who then vote by secret ballot in accordance with ROPA.
tildes.net comes to mind
What is supposed to be analogous to the "500 independent recordings of him comitting[sic] a crime"?
If a court orders discovery, sure. But for Tesla to preemptively reveal private, provocative data from the product you supposedly bought outright? No
Huh. I wonder what it was.
> I'm not entirely sure that trying to not have boilerplate of any kind is a worthy goal.

I think it's a worthy goal for nearly all readers. However I also believe that literate programmers should be written with many different readers in mind.

So you could have one version that is written in a "typical code" style like:

* library 1
** module 1
*** source file 1
** module 2
*** source file 2

That doesn't need to be where it ends though and arguably shouldn't be. Write multiple books using the same code but represented differently as it's justified.

For example:

* typical program style
** library 1
*** module 1
**** source file 1
*** module 2
**** source file 2

* new to language X presentation of program

** link to various parts of library 1 alongside prose to describe concepts to language newcomer

* typical hire presentation of program

** business domain focused exposition presenting code via transclusion as needed from typical program style
I tend to agree that I rarely, if ever, read any of the copious notes I’ve taken. However, I find the iOS notes app is a good middle step in a workflow from reading to remembering.

What I like to do is read a chapter of a book, scientific article, or blog post, let’s say, and then write a summary in a note. I can distill the message down and integrate it with existing knowledge by noting similarities.

After that step, I create Anki cards from the notes to remember the key points. By this approach I go from reading material to permanent memory.
I would look things up, write my code and then if I had to look at it again it was like looking at code I had never seen before.
Meet Oleh Shostak, Ukrainian Wikipedia’s most prolific editor
For many of us, Discord’s model is an anti-pattern.

Try searching for something when you don’t recall where you said it (dc server or DM)
What I would highly recommend is -

apt install guix

Yes... this is a debian main package that allows you to use guix on top of debian (you can also do this with other distros as well but ymmv).

Get used to how it works, why its cool and then you can explore the system install.
> users ignore stuff if they can, including important warnings etc.

They sure do. Especially modal dialogs. Everybody has been trained to hit okay automatically, because they're so prevalent on things that don't matter. Good apps track history and have undo.

Apps that have changes that matter use more drastic things than modal dialogs. Just try deleting things on AWS.
> Thats really easy for Reddit to measure. Why are you assuming they haven't?

It's a well know historical fact that companies always do the smart move only based on hard facts.
very cool that it works in mice which dont normally hibernate, will be interesting to see what happens with humans
This is 100% the right view. The biggest AI danger is relying on unreliable stochastic systems for automated decisionmaking, resulting in some kind of kafka-esque nightmare rather than something flowery like human extinctions.
Will Hurd is a liberal Republican. He supports Dreamers. Very early critic of Donald Trump.
At the risk of writing one of those smugly ignorant HN comments with a poorly thought out "why don't you just" solution in it...

That actually sort of does. An observer hits a MOB alarm, like a fire alarm point, and that causes the deployment of a few drones with infrared cameras that start circling the ship in an outward spiral. Even in the warm waters of the Carribean a (live) human is significantly warmer than the water and I think should stick out. Tracking a light blob on a dark background feels like it ought to be fairly basic CV (though I don't know for sure). The drones can take it in turns to loiter, tracking the MOB. Perhaps a larger drone might then be launched to fly out and drop a flotation device.

At the very least something like this may help to provide a better location fix on the victim.

But again I don't know - probably there are all sorts of complications to spotting people in the water using infrared. I am sure a former Coast Guard SAR pilot will be along in a minute to tell me why I am wrong - I look forward to being educated :)
Maybe its just me, but I'd always pick gRPC, a lot less headaches than the community (un)maintained codegen for some random language.
Copyright in Russia is only enforced for companies in practice. For most individuals, piracy is the default way of getting movies and TV shows, especially now that we no longer have Netflix. Music is more complicated — there's still Yandex and VK offering paid subscriptions (and all kinds of bypass methods to listen for free). No idea what people use for music now. We've had Spotify for like 1.5 years too and many people subscribed to it and were happy with it but then you know what happened.
Unless that is a shaggy dog, then I don't get what it is doing in your comment.

Yes, affordable housing, we need it. No, no one has a clue on how to achieve it (except maybe stop having children like in Japan or maybe become a city state like Singapore and have the government sell to everyone in the middle class an affordable flat).
currently: https://news.ycombinator.com/item?id=36145185
For syncing, Syncthing works pretty well for me - the only issue is syncing of plugins for which I wrote a script to selectively copy the details in .obsidian. I think it already has offline support, works fine without internet. On the point of complexity, I think the key to note taking is to avoid too many workflows; just do the minimal organization and just focus on getting it in, you can always cleanup later (or not, considering search works pretty well).
Oh no, don't spoil it. Too much attention is just gonna turn loose a bunch of sleuths who will reverse-engineer the time the photos were taken, cross it against ADS-B tracks, and put an end to the fun.
Never heard of it before and no.
> This paper and method is about getting language models to be better at math without changing their architecture.

My understanding, memory is that already decades ago there was some software that was good at doing calculus manipulations. The software was Mac... something or other. Just now a search gave the name Macsyma and a PDF Reference Manual at

https://people.eecs.berkeley.edu/~fateman/macsyma/docs/refma...

So, right, long ago there was some software good at some of "Mathematical Reasoning" and, I'd believe, also "reliable".

For "mathematical reasoning" in an LLM (large language model), when ChatGPT 4 entered the news I gave ChatGPT 4 two exercises, one from high school plane geometry and one from first calculus. The results for "mathematical reasoning" were no progress at all.

From what I know about the LLM approaches and about mathematical reasoning, I don't see any promise for "reliable" results. Then I repeat, math results that are not "reliable" will be about as welcome as week old fish.

But just now there is a lot of interest in LLMs as a case of AI. As I glanced at some of the news, apparently the value of Nvidia is now $1 trillion. Sooo, a lot of interest.

And we can regard the work on LLMs as research and expect in a few years either (1) reliable mathematical reasoning or (2) not and, thus, evidence that LLMs are not a promising path to such reasoning and AI. We can spend years concluding (2).

Heck, I participated in an earlier popular approach to AI. I wrote software, gave talks at Wharton and Stanford, published papers. But I kept looking for anything worthwhile in that work and never found any. Now that work is no longer "popular" and apparently nearly no one believes that there is anything worthwhile there.

I'd like to see some progress in software for automation of significant cases of reliable mathematical reasoning, but, sorry, again from what I know about such reasoning and LLMs, I just don't see LLMs as a promising path to such reasoning.

So, it is likely the case that for LLMs doing significant cases of reliable mathematical reasoning, people can believe me now or spend some months/years and believe me later.

I'd like to see some promising paths to the desired reasoning, with/without the LLM "architecture".
Why? A FOSS app can allow the user to just use their own API key. The only reason this is an issue is because the dev of Apollo is profiting off the app; his margins will go away with the new pricing and he's dubious that there's enough demand at the raised rates to sustain development. A FOSS app is under no such pressure.
Bose QuietComfort 35 with white noise playing on them should block anyone not yelling right at you. Bought mine used after some extensive research, but maybe there's something better nowadays. If you added foam earplugs and music to that you'd be deaf.
Adblockers' audience is huge, much more than any single site's audience, and they probably wouldn't care about most single sites (to care, you have to be in the audience, and most sites have small audiences).
There are many other foreign chip makers capable of making GPUs on their own, it is just their product is not as competitive as NVIDIAs in the consumer market. But that doesn't matter if we're talking about potential global human extinction level threat. Governments will fund it.
The Jones nobody keeps up with (1966)
I am paying too many subscriptions to care. I'll just stop using Reddit on mobile, most kids are on TikTok anyway.

So they are just alienating younger users.
Here's a video with a guy tapping the corner with a hammer:

https://www.youtube.com/watch?v=hsXZVMEsGzY

It doesn't need to be like that, just clipping the corner when racking it or having two pieces tap edges while it's on a conveyor will do it too.
You made that point in our other thread. I'm not informed enough about the landscape of proposals to agree or disagree. But if you're right, I think that's totally consistent with my argument here: people working with open source models at a scale that can run on an individual device have nothing to worry about from regulation. For better or worse, and whether or not they catch up to the state of the art, those aren't going to see meaningful controls.
GDP boost by 50% is not what Japan govt said. It's just a crappy article that refer AI hype people.
I think liability lies with the person who uses the product to violate copyright. The hosting / producing company didn’t violate copyright if I use their model to make Mickey Mouse pictures. I did.
I’m not sure how anyone works in the tech industry for any amount of time and comes away with the impression that large company execs regularly make good product decisions. It’s especially funny to claim this for a company like Reddit that has a very public history of awful decisions.
I think this is due to time-sharing a single development team among all the Mac models. The M2 was ready before the M1 Extreme was released and M3 may follow right behind the last M2 Macs.
Summary:

I'd like to see some progress in software for automation of significant cases of reliable mathematical reasoning, but, sorry, from what I know about such reasoning and LLMs, I just don't see LLMs as a promising path to such reasoning.

I'd like to see some promising paths to the desired reasoning, with/without the LLM "architecture".

Maybe that's a good summary.
If artists are struggling it's because they're not getting paid properly by the corporations they work for, like Disney, Netflix, and others. It's not because of individuals like you or me or the people that run piracy sites.

This is false. Artists get paid residuals, meaning, per sale, so every non-sale due to piracy is literally coming out of artists' pockets.
How do search engines exist? The internet archive? Caching of image results? Web browser caches? CDNs?
its about this guy https://en.wikipedia.org/wiki/Alfred_Winslow_Jones
I almost never see CI/CD and less than 50% use containers and I'm at a different site every few weeks. That said maybe it's because I deal with highly regulated companies that don't like change and large entities where doing anything can take months so the idea of spinning vms up and down at will is not really needed or allowed. This is just what I see, not saying it's a trend, just what I see.
I have a clue on how to achieve it. But no one is listening to me.

Possibly because I'm a woman and everyone thinks I'm only good for sex and will jump on any chance to comment on sex at me while shooting down or ignoring everything else I say much of the time.

And don't claim it's because I brought it up. The expectation that men can comment on sex and women can't without inviting social nonsense is a sexist assumption.

I've studied housing issues. I blog about housing issues. Etc.

I think I'm done here. This entire conversation has been a profound waste of my time today.
First some context: llm "prompts" are actually the whole conversation + initial context. They learn nothing, hence the whole conversation gets fed into them every time, but the instruction following ones are trained to answer your most recent chat response.

In a nutshell, part of your llm prompt (usually your most recent question?) gets fed as a query for the embedding/vector database. It retrieves the most "similar" entries to your question (which is what an embedding database does), and that information is pasted into the context of the llm. Its kinda like pasting the first entry from a local Google search into the beginning of your question as "background."

Some implementations insert your old conversations (that are too big to fit into the llm's context window) into the database as they are pushed out.

This is what I have seen, anyway. Maybe some other implementations do things better.
Meta's most valuable asset is their users, not their technology, so giving away technology is incidental to them. It's not the UI or superior features that makes Meta, Instagram, etc such powerful platforms, it's the network effect.

ChatGPT was the fastest growing app in history, leaders at Meta (The ones who do M&A, strategy, etc) probably raised an eyebrow. They don't really give a crap about some stupid talking chatbot, but OpenAI getting smart and building a Social Network around millions of brand new users could be an existential problem for them. When Lecun wanted to OSS it they were probably like, sure, we can kill a few birds with one stone. If LLMs are a commodity that stops OpenAI and Google before they even get off the ground.
That's because 48-50V is threshold for "High Voltage", what THAT sign actually signifies, and licenses are required!
Is this one of the models that had its radar removed or disabled? I'm not saying working radar would have prevented this accident, but working radar would have prevented this accident.
Good to know. I'd like to learn about the process you had set up and the number of moving pieces it required. Have you written about this process? Can I read about it somewhere?
Sent you a copy, it's a bit stronger than this (although from several months ago).

For your question, though: I don't think it's "your fault" that anything bad happens to you. It's obvious that the problem lies with the company you're working with–it's just that this kind of bad behavior is unlikely to change, so you unfortunately need to take it into account when dealing with them. If you had asked me earlier I probably would have said something like "be wary: the management of today might not be the management of tomorrow, or they may shift priorities, or they might just straight up being lying to you". If all goes well, that's awesome, but I still think it's important to consider these things.

By way of example, one of the apps I work on has effectively gotten approval from senior management–essentially, what it does is "legitimate" and "within the rules". What this means we have reduced our investments in thinking about scenarios where it gets removed from sale, but continue to maintain our ability to deploy elsewhere even if it is little-used right now.
How can you be certain that the content being generated is non-infringing?
Import arbitrary code from Stack Overflow as Python modules
I can simulate a creationist environment in which anything in your simulated evolutionary environment also exists. Is that evidence for creationism? No of course not. Computer simulations aren’t evidence for anything.

So no.
Finance is my domain ... worked/working for large established companies ... no containers or k8s. Yes, there's some presence for R&D or maybe external web or external search but absolutely nothing in front, middle, back office or connections to brokers, exchanges ie. where it's serious.

Now having written that the CD part does come with eye rolling ... i think of last emplyor which seemed to go out of is way to make prod changes small as possible, unorchestrated, paternalistic. Dev installs looked rather different than beta or prod so there was no incentive to improve. And that was fine with management.

Ultimately I think management didn't trust devs. So rather than process improvement it was better to go slow, beurceatric, make devs get approvals as implicit disincentive to change. In their mind devs were qino (quality in name only). Tls and middle managers did QA by approving or rejecting tickets.

Usually good companies think quality is everybody's problem and empower + train accordingly. And nobody serious about quality thinks QAing tickets is quality. No, it spends resources only. That's the only thing 100.0% of all people can agree on when it comes to inspecting quality into CD.

I'm fine with prod approvals but not for blow-by-blow changes

My current employer has far far stringent rollout requirements so elastic scaling et al isn't in scope. It's very planned, determative.