skysight-inc/HackerNews huggingface dataset:
Could be argued, sure. If you have to already have access to the copyrighted images to find them in the model, the argument seems weak.

A sufficiently advanced model could, in theory, generate any image. You could then, again in theory, find an embedding for any image. Does said model then infringe on all copyrighted images? A program that creates Fourier epicycle drawings could be given input that causes trademarked output. An evolutionary algorithm iterating on noise could, given metrics for an image and the right fitness function, generate infringing images. Hypothetically, and admittedly absurdly, you could extract any image in the binary expansion of Pi and share it by "just" providing an index and length. If you have to know exactly what you're looking for and have to perform a substantial amount of computation to get it, it could be argued that the act of infringement is in the effort made by the person seeking infringing content (and distributing the results) rather than whatever it is they're attempting to extract the content from.

But hey, courts don't always make sensible rulings, so who knows.
This month was a really bad time for me to have just started regrowing my guitar nails.
Wasn’t this only true for water and the air prop versions haven’t been commercialized (or successfully developed) yet?
This was the most powerful idea I learned to harness over the past year.

I work in a similar Staff Engineer position and jump between lots of teams, immediately required to go very deep with each team. Then a few minutes later I need to jump to another team and dive deep into that team's problem.

One day, I was talking with my AWS rep and I said "hey do you remember this thing you told me related to X about a year ago. I can't remember what it was, but it helped me solve Y problem...". I had only a vague memory of it, and I didn't really expect him to remember much of it either. But within seconds, he started rambling off, what felt like near-exact quotes about the conversation and the links and documentation references he gave me on that day. It literally blew my mind! He had impressed me with information recall a few times before, but this was god-tier memory recall. So I asked him how he could possibly do that, and he explained LogSeq and how he records everything so that he doesn't have to waste mind-space remembering things that he would certainly forget anyway.

I tried it out, and it took a few weeks to get used to it, but saw the same benefits immediately. I find myself less mentally taxed each day because I am streaming information into my log sequence and not trying to store it in my brain. After you trust in the process, it relieves the stress on your brain to perform more powerful tasks or give you more energy. As corny as it sounds, it actually was life-changing because I instantly had more energy at the end of the day and started performing better.

There is a learning curve in the process. For example getting in the habit of using things like hashtags on anything you think might be worth searching later. But this quickly becomes second nature. There is also a secondary benefit of how scanning through your notes after or during a call can help you identify connections or ideas you may not have thought of in the moment.

Brains are good at finding patterns, expanding on ideas, and thinking creatively. But they are terrible at remembering large streams of information. By learning to harness a note tool to manage the remembering of large streams of information, it opens up our brain to do the things it is good at like expanding on ideas or being creative instead of handicapping it by trying to remember a minor tasks someone asked you to complete after the meeting wrapped up.
You can’t go back and retroactively show your disapproval over something almost 10 years later and say “hey that shouldn’t have happened!”.

Actually you can and it happens all the time.

Crimea belongs to Russia.

Just as your car now belongs to me, every since I saw you left the keys in it and decided to take it out for a joy ride.
One of my most San Francisco experiences, about a month after moving here:

I used an app to find a therapist after experiencing some gnarly trauma. Twenty minutes into the consult session, the therapist asks me if I'd be interested in trying an "experimental treatment proven to help process traumas." She pulled a device out of her desk drawer, and it looked kind of like a beanie hat made from electrical wires.

So, that's how I found out she was using the therapy matching app to find volunteers for her research. The literature she showed me was all related to TDCS (hadn't heard about TDCS previously).

I left pretty quickly, before the session ended, which I remember because my car was TOWED.
Communication with Noteboxes – An Empirical Account – By Niklas Luhmann
I know someone who's state government employer paid for an extremely similar sounding therapy to be administered by themselves at home in 2023 unprompted. As the article says, research into this as a training or learning method has been completely dropped. It's some sort of emotional mood therapy now.

As much as this tech weirds me out I have seen and heard of no negative side effects. (And until today I was extremely skeptical of the sparse positive effects.) I'm really glad I read this article because it gives me a starting point to do more research on it.
I can see how it's win/win relative to "lobby to make producing or owning AI audio tools a crime", which is presumably one thing the industry is considering.
Some people are interested in how things are built and work, not just the black box that does stuff for them.
You don’t seem to get it. By continuing to participate you are prolonging it.

Dream bigger. I mean unless you love the current shitshow.

https://www.solzhenitsyncenter.org/live-not-by-lies

I know I’m not living in a totalitarian state like Solzhenitsyn, but yet I am refusing to eat dog shit cause it tastes better than cat shit.
Depends how much they're selling it for, support contracts, etc. With the right combination of those, 2MM copies could be amazing.
Seems like a Silicon Valley plot line
I’m trying to achieve generator-less mapping from OpenAPI to Typescript types at https://github.com/varanauskas/oatx
Thanks for actually doing the research!

Until some other team chat offers a good search, there's no way I'd consider anything besides Slack if it's up to me.
That's okay, sorbs.net has most of Gmail's servers blocked due to spam... the ones that aren't will probably get caught by spamassassin.
I consume WSDLs and produce OpenAPI very regularly and you're very right that we've reinvented the wheel. On the bright side, REST APIs are much easier to work with ad hoc and Open API (not sure if this is really because of the format or we just care more now) often has better associated docs.
Reading about that and the JS runtime just handing out a view into a shared mutable buffer just floored me.

That’s so clear dangerous from both a bug and security perspective.
The way I've usually seen it states is that 10% of your users will comment, and 10% of that 10% will start new threads/posts.
I think it is up to discussion if it is bad or good.

But even if you don't eat processed fat, with sedentary office life one may still overconsume calories even from eating fatty meat.
Sure, ADS-B can help. But as of today, there are still some light and ultralight crewed aircraft flying around without ADS-B in certain classes of airspace or altitude ranges.
Stupid question, but: Why do client apps need to use a separate API? Is it due to some terms and conditions? Why would an Android Reddit app need any difference calls than, say, a web browser?
This is again win/lose
> doesn't care about the stereo audio because they watch their movies with laptop speakers.

Stereo doesn't imply low fidelity. Just as 7.1 Dolby Unobtainium doesn't imply high fidelity speakers.
300M MAU product
> [RP-1] Really gave me a huge appreciation for the difficulty of achieving orbit.

One of my favorite things about (even un-modded) KSP was appreciating -- even on a super simplified level -- all that went into making things go into space. Even just launching in the same direction as the orbit of the planet to get a gravity assist seems so "duh" now but was something I had never considered before KSP.

What a great game, will have to check out RP-1.
I’ve never successfully made it through a full episode of either Portlandia or Silicon Valley because they’re both just too real for me not in a good way.
I doubt that people would be paying for Disney+ or Netflix if there was an free alternative that had slightly worse UX, that was officially sanctioned and available at the top of the app store if you searched for them. The appeal of those two is access to the content - Reddit has an official website and app where the content can be accessed for free.
This was the goal, wasn't it?
I have the same experience with Logseq. I just dump stuff into it without much organization, but through its list management capabilities, I find that I can see connections across different snippets. I can coalesce different ideas that I jotted down at different times and see patterns. To me this is the purpose of note taking — not retrieval, but insight.
If they open source it, everyone would know that they used fuck ton of pirated content to train their models
I think that’s what most people are using it for, but having a single expressive (debatable) language to describe the contract an api offers has soo much potential.

GraphQL promised us apis that we can trust - since both the client and the server were implemented with the same schema, you would know for sure which requests the api would respond to and how, if it tried to do something outside of the schema, the server lib itself would through a 500 error. This allowed you to generate lean, typesafe clients.

OpenAPI kinda allows you to do that but for any other http api - I’ve written some code to use the schema as a “source of truth” for the server code as well, proving at compile time that the code will do the correct requests and responses for all the endpoints, paths and methods. So if you are reading the schema, you know for sure that the api is going to return this, and any change has to start from modifying the api.

And in turn this allows a “contract first” dev where all parties agree on the api change first, and then go to implement their changes, using the schema as an actual contract.

Combine this with languages with expressive type systems, and it allows you a style of coding thats quite nice - “if it compiles it is guaranteed to be correct”. Now of course this does not catch all bugs, but kinda confines them to mostly business logic errors, and frees you from needing to write tons of manual unit tests for every request.

Oh as a bonus it can be used for runtime request validation as well, which allows you to have types generated for those as well, for the client _and_ the server! Makes changes in the api a lot more predictable.

Client / server code generation can also be implemented as just type generation with no actual code being created, sidestepping a lot of complaints about code generators.

I did package it up as OS https://github.com/ovotech/laminar but no longer have access to maintain it as I no longer work there unfortunately.
Well it's certainly in keeping with the view he has of himself as an under appreciated scientific genius, however I don't think it makes for a very compelling critique of peer-review. Frankly, all his boohoo-hooing about being shut out of the in-group at Harvard probably has more to do with him being an insufferable narcissist, rather than any attempt by the establishment to prevent heterodox views in physics from reaching the wider scientific community.
My hypothesis - in housing constrained locations, the minimum wage drives rental prices. Landlords of these lowend non-rent controlled properties extract all gains when minimum wage rises, as minimum wage workers compete with their newly excess earnings to purchase housing.
The article brings that up. It's a worthwhile read if you want to know more. Presumably no Olympian had any meaningful results because, to paraphrase the Olympic athlete quoted, if this gave anyone an edge then everyone would be using it. The original experiment happened over a decade ago and the journalist who went through it is being interviewed. I believe the current application of this technology is not being used to help people learn skills.
> You misread. They did not find 76% reproduction of the book. When asked to fill in a name within a passage, e.g. "Stay gold, [MASK], stay gold." Response: Ponyboy, GPT-4 got the name right 76% of the time.

What is the temperature / top_p setting producing that 76%? The default? If you dial down the randomness, would that number go up?
Commonly in high school, students learn to do proofs in a few days/weeks from a few dozen examples.

Sorry, best I can guess, the basic technology of ChatGPT can't learn an equivalent way of doing proofs even from millions of proofs. It would be really interesting if the ChatGPT learning could learn proof writing, but my guess is that with ChatGPT too much is missing.

Here is a point: Earth is awash in animals with brains that are built a lot like human brains, but I can't think of even one such animal that has a chance of keeping up with a standard course in plane geometry. Why? Something is missing, humans have it and only humans.

Yes, your suggestion of adding structure to the data has a chance. Maybe with enough structure proof writing can reduce to looking for a path through a network, roughly what, say, a chess program has to do.
Together, we can create a web ecosystem that respects users' autonomy

Maybe 20 years ago I would've believed that coming from Google, but no, it's clear they're going full authoritarian to get users under their control like the rest of Big Tech and using the classic "security" argument to do it.
Looks like we've found a piece of documentation that needs to be more clearly called out! :)
This is a great question. We think OpenAPI is great and TypeSpec is a great way to write OpenAPI, but OpenAPI has some challenges generating high quality, language ideomatic code for complex services. Generating code straight from TypeSpec can drive better codegen in some cases such as the one you mention, especially when combined with custom libraries and emitters. Incidentally, this is how we are creating many client libraries for Azure services.

That said, these are not opposing choices really, or a bridge to anything. OpenAPI works great for probably most http services, has a huge ecosystem, and enjoys wide support across the industry so I'd expect many folks to continue to leverage our OpenAPI emitter to take advantage of that.

In general we don't limit ourselves to things which can be trivially compiled to OpenAPI but try to be super general purpose. We support protobuf and intend to support more protocols going forward, and also have experimented with generating other things like JSON RPC, ORMs, db migrations, etc.
Most people have a range of interests, and most interests have a range of people. If you follow people you'll see stuff you don't like, and if you follow hashtags then as soon as they get popular they get hijacked by entryists. Plus the site is optimised for ragebait - that's the natural result of the emphasis on short posts and the algorithm that optimises for "engagement" - so even if you're following the right people and the right hashtags you'll still see the worst parts of them.
what are these practical reasons -- ecosystem size? tooling/documentation?
Hot air balloons are easy to see, and one of the very first forms of aviation. They’re also hard to maneuver.

Drones are incredibly difficult to see and last I checked FAA was proposing right of way and the burden of detect and avoid (and blame, if collision) on the balloonist. Basically anyone without adsb. And fixed wing pilots love to forget the entire forms of aviation exist outside part 91.

I’m a paramotor pilot and my entire flights are under 400 AGL around populated areas, and this also affects me.

I think it’s pretty fucked up for drones to have right of way over any manned flight.

I think there are ways to bring forward innovation with drones without this strange proposal that essentially shifts liability away from large corporations.

Some old info on this: https://usppa.org/faa/bvlos/
salary has nothing to do with how hard it is to do the work. It mostly depends on the perception of the value/impact it can generate based on market supply and demand.
At one point Kraken was suing former employees for leaving bad reviews on Glassdoor. They cited the non-disclosure agreement.
Ask HN: Why don't games ever come to the front page?
Yes, this is a business oriented community, but I guess we are also nerds?
The experiment concluded after a single post zap run? Not even a second run the day after to see if it stuck?
Are you surprised though?

The Chrome Web Store isn't really a store... it's not like Chrome can (or does) charge for extensions. The only ones that are commercial that I'm aware of are tied to external systems (password managers, note taking, etc), and it's not like Google gets a cut from that.

So the store will always be a cost center with net-negative revenue. Knowing this, how could they realistically review anything manually? The only model that has had some success in this regard has been the Apple App Store, which routinely gets vilified for it's walled garden.

I'm not sure what the answer is here, but I'd pay extra for a more secure extension "store" for the (few) extensions that I use. Or pay more for the products I already pay for that provide extensions (1Password, Zotero, Pocket, etc...). But that would be a rounding error for Google's revenue, so I'm not holding my breath...
Christian (Apollo’s author, the Reddit app in question) isn’t a paragon of virtue either.

The app has been regularly nagging existing paid users, who paid to remove ads in the app, about “amazing” deals to “upgrade” to a monthly subscription to the app to get some virtual stickers and other silly things of dubious value over and over. People complain about it every time they come up on the Apollo subreddit, directly mention the app’s author, who has yet to ever respond on this matter.

I think Reddit is being greedy, but I’m only sad if Apollo goes away because the Reddit client is so shitty; not because I love Apollo.
> philosophical nit picking here, I would say value-aligned rather than moral-aligned.

How is trying to distinguish morals from values not philosophical nit-picking?

EDIT: The above question is dumb, because somehow my brain inserted something like “Getting beyond the …” to the beginning of the parent, which…yeah.
I'm not sure where we're going with the output in these examples.

So let's say there's a human-written poem that's copyright.

Let's say a human completely coincidentally writes an identical poem.

"Accidentally" producing the same poem wouldn't give the second human any claim to copyrighting or distributing their coincidentally-identical poem.

And if GPT accidentally copies large chunks of Harry Potter or Frozen or whatever other popular work, that new creation will have the same problems.

But what does that say about if we should also restrict the use of copyright material in training? Just because some algorithm - or some person - can coincidentally duplicate a copyrighted work even without directly reading it doesn't seem to relate to the case of building a model by explicitly using the copyrighted material.
How would people with nothing buy rice from local farmers anyway? As long as the US sends only enough rice for people to be fed until they are back on their feet there shouldn't be a problem, since there won't be piles and piles of free rice floating around once the disaster has passed and people are again able to afford to pay local farmers.
All that's missing is EVs and drones making a mandatory, Doppler-influenced, uniform burble sound as the motors run.

Sort of like the somewhat-mandated "shutter click" sound for digital cameras.
I've been rethinking IoT devices lately. All that Alexa has actually been useful for is "Alexa, what's the time?", "Alexa, what day is it?", "Alexa, set a 2 minute timer", and "Alexa what does X mean?".

That's 99% of my uses.

I want a device that does only that and runs purely offline. I'm sure between Whisper.cpp and LLaMA.cpp I could make this a reality with an old spare laptop.
Logic is the spammers have worked out how to abuse UPS mailing infrastructure.

UPS screwing up is more believable than Google.

> The sender found a way to dupe @gmail ’s authoritative stamp of approval

This has two meanings, if dupe means fool, then no.

If dupe means duplicate, aka the spammers are injecting a fake stamp of approval then that's interesting.

There's little to comment on without those headers and email contents.
AI Horde’s AGPL3 hordelib receives DMCA take-down from hlky
Reddit's API changes will likely kill RIF and other apps, on July 1, 2023
> Twitter literally invented microservices because of this.

Service-oriented architecture: Am I just a joke to you?
here's somebody citing it as their reason, in this very thread: https://news.ycombinator.com/item?id=36144708
I think the third edition of Engineering a Compiler was recently published (paperback only, WTH). I found that to be a better read IMO.
We went all remote during the pandemic, now different people use all three options.

If you’re remote it works well enough.

If you have an office when you’re in the building it works well enough.

If you have to use the cubes it’s a disaster.

You can hear other people in Zoom meetings all day.

You can hear the other people in your Zoom meetings that are in the office twice.

Of course you may have trouble hearing your meeting anyway due to the other meetings, or people standing around talking.

You can’t grab a meeting room for just you. A bunch of people who are in the same meeting can use a meeting room’s conferencing setup. Unfortunately it works very poorly for people on both sides of the call.

Maybe it would be better with taller/bigger cubes. Or sound deadening foam. Maybe not.

Straight hybrid, without doing anything different to all in office, does not work. And I don’t think many companies would invest that kind of time/capital even if it would improve productivity.
This is soley how i access reddit now. I closed my account a few years ago (time sink and don't agree with their censorship), but it's nice to hop on occasionally as a lurker.
Oh well, like you said, probably better.
Journalists are largely a joke. Just read something they write in which you are an expert: they clearly haven't a clue what they are talking about and instead are just stringing together vaguely related words in barely coherent thoughts.

> Primary sources are highly biased, very narrow in knowledge and perspective, and are not trying to inform you.

The primary goal of most major news outlets isn't to inform either, it's to present propaganda. See, e.g., the Trusted News Initiative.
What about just affording a mortgage or rent without college education, dual incomes, moving away, having few or no children, plus receiving an inheritance?
It says training, not inference.

I can read a copyrighted book legally and retain that information legally.

I can distill it (legally) but while I might be able to recite it, I’m not allowed to.

I think that is a reasonable framework around generative AI (after all, I am alllowed to count the words in Harry Potter, so statistical modeling of copyrighted material has legal precedent)

The problem with AI is of course the blurred border between a model and data compression.

We can’t see the data in the model, but we can apply software to execute the model and extract both novel and sometimes even copyrighted data.

Similarly we can’t see data in the zip file without extra software, but if that allows us to extract both copyrighted and copy free data, we’d still consider distribution a violation.