skysight-inc/HackerNews huggingface dataset:
This technology will be embedded into every OS within 2 years. People don't generally need a "super" model like GPT3/4. It will be perfectly acceptable and common to have the model change context, sync with whatever model/training data is necessary to be an expert in that context only, and associated contexts..., and prompt it in a specific domain. Client devices and internet connections are fast enough to do this in near real time today. The platforms to do all of this are being built right now by every company that creates software otherwise they will fail within 5 years.

It's an inconvenient truth, for better or worse.
For people taking on this problem, these two groups are great resources that can give you a big boost in terms of learning how to do this kind of advocacy:

* https://yimbyaction.org/

* https://welcomingneighbors.us/

And: it's great and very rewarding. Housing, and how we build our cities, is so central to so many things. The economy, the environment, homelessness of course, and our health.

It's also something where there's been a lot of fairly rapid progress. The state of Washington just passed their 'middle housing' bill, following in the footsteps of Oregon, California and also Montana. The last one hints at an important aspect of the politics: everyone needs a place to live, whether their politics are 'red' or 'blue'.
Are not all models checkpoints? I think you may be interpreting it too colloquially.
Cambridge dictionary [1] has this definition:

> piracy noun [ U ] UK /ˈpaɪərəsi/ US

> IT, LAW

> the act of illegally copying computer programs, recordings, films, etc. to sell them at much cheaper prices

What's interesting is that this definition includes selling.

So by this definition at least, regular file sharing of copyrighted media, even illegal or infringing distribution, would not qualify as piracy, since no sale is involved.

[1] https://dictionary.cambridge.org/dictionary/english/piracy
Also it’s a fraction of the Indian/Pakistanis etc. that are in a slave like situation. Almost all business owners are also Indian.
The entire reason the lungs are lined with mucus is to keep out invaders. So there's that.
Microsoft (zune) and then Google (music) have me not even trusting the convenience of paid subscriptions anymore.

Even if you keep some music, you lose useful history, playlists, etc. on a whim.

Even with the new YouTube music, songs I own, and added to a playlist last week are suddenly grayed out without explanation or ability to see details. Only right click option is to remove.
It is accurate in the sense that you don't have to implement anything specifically. You should simply act according to the circumstances, and if the circumstances are positive (i.e. you are lucky) you can succeed.

In the hindsight the "act" might look like the thing that made you succeed, but most of the time it's actually the luck. The "strategy" is just a normal reaction. For example:

"I invested half of my money in stock market and half in property. That made me a billionaire. You should do the same."

vs

"I won $1M from the lottery, and I invested half of it in stock market and half in property."

Obviously if you omit the lottery part the advise doesn't make any sense (i.e. you won't be a billionaire by investing half of your minimum wage every fortnight). This may be an extreme example, but demonstrates my point.
Oh neat, I might need to try this on Wolfenstein 3D.
Not exactly - there’s a bunch of non-trivial stuff you need to worry about when both local and remote states represent sources of truth. Things like CRDTs and event sourcing make it easier, but there’s still more complexity than dealing with only one source of truth.
In an online-first experience, any local state being held is (for the most part) an optimization or is intentionally ephemeral. You can just toss it away at a performance penalty if it ever gets too hairy.

In an offline-first experience, you need to be very careful that you treat everything like a source of truth. You also need to deal with schema migrations and business logic migrations, since you need those to partially live on the client.
Everything I said is factually true.

Carter made mistakes. His major economic political mistake was to tell everyone that they'd have to basically take one for the team. And we had 12 years of Republican presidents after because of it.

Nixon was just a major chump in many ways. Moreso than almost any other president.
There are two primary types of corn: field corn and sweet corn. Only sweet corn can be eaten raw or lightly cooked, but field corn can be turned into edible products (e.g. cereal) with some standard processing.
I made a few attempts and finally got it by having a go at Google Zanzibar problem using SWI-Prolog. I read TAOP and followed a bunch of videos on youtube. Prolog is nice.
Your comment reminded me of something. I forgot the underlying reason, but in anatomy we learned that for mammals it's evolutionarily 'hard' to change numbers of vertebrae, which is why the giraffe has the same as its siblings and they are just obscenely long. On the other hand, birds with longer necks tend to have more vertebrae.
Shift-left testing: Test earlier and more often
Rhythm (taal) in Indian Classical Music (2011)
Probably through academia? If you get a PhD you can spend years working on a very specific topic.
Just curious, when will it get LDAP/AD Connectivity? I saw here https://www.ory.sh/comparisons/ory-vs-keycloak/ that it doesn't have this feature

LE: I guess it's being tracked in this GitHub issue: https://github.com/ory/kratos/issues/274
First result on DDG is a Wikipedia article that says

> The term was coined in 1998 by Vincent Flanders, author of the book and accompanying website Web Pages That Suck.
RWKV is an attention-free architecture that's showing promising scaling at a similar level to Transformers right now! There's also recently been Hyena, which uses a new mechanism that's kind of a weird mix of attention, convolution, and implicit modelling all at once. It's shown promise as well. Remains to be seen if these competing methods will truly scale as well as Transformers, but I've got my fingers crossed. Only a matter of time!

I agree that "near future" is quite ambiguous though. If I were to disambiguate my claims, I think I'd personally expect a Transformer-killing architecture to arise in the next 4-5 years.
It’s a piece of software guessing what text to spit out in a web browser. People need to get over themselves.
What you're describing is basically SES:
https://medium.com/agoric/ses-securing-javascript-in-the-rea...

There's pros and cons to that, most folks don't enjoy being inside such a restricted sandbox.
AGI is still very far away and even then was never taboo.
For close orbits, and far orbits are difficult because Earth’s gravity interferes—-to save others a click.
Over 2000 dead in the Northwest Indian War.

I normally wouldn't have copy and pasted that much text, but I thought I'd save anyone the time of having to scroll through a 63 page PDF.
Sure but it's not that powerful. It's not a gaming rig.

Also it had better spend almost all its time doing nothing or it would kill my battery. Same as with my CPU.

The main point still stands though -- it's pretty useless if it takes a couple minutes to do what a server can do in a couple seconds.
Rationals are countable. It's actually pretty neat if hard to express as a function, but that's not required.

http://www.cwladis.com/math100/Lecture5Sets.htm#:~:text=the%...
Go integration testing with courage and coverage
Almost good idea, except no one cares. SF and LA may as well be on different planets
Most desktop apps still don't have ads, and their UX is generally superior to the web.
Yes, unfortunately, the title is clickbait. Generally "Golden Age of Hollywood" is a nebulous term, but only tends to encompass the last few years of silent films (if that).

In general, as I understand it, silent films were lost primarily for two reasons:

A) The film medium of the time was nitrocellulose, which unfortunately is highly flammable (several films were lost to vault fires) as well as being susceptible to decomposition.

B) With "talkies" becoming the dominant form after the late 1920s, the silver content in some of the old silent films was seen as being more valuable than the actual content. In other cases I think films were just dumped, being seen as not having any value and worth the storage costs anymore.

Television underwent a similar phenomenon from the beginning until the 1970s-1980s, due to videotape being expensive and reusable, and older material being seen as not economically valuable (especially after the transition from black and white to color). Doctor Who is probably the most famous example of a serial with missing episodes, but my understanding is that more rigorous archiving was not the norm for entertainment seen as more "disposable" (eg game shows, news programs) well after television companies archived their prime time programs.
moons a much more dense target
Is this the end of Tumblr? I'll still use Imgur but is there a large community for that kind of stuff?

I somehow found no nudity there the couple times I looked (while doing research).
Well, we'll see what the future manufacturing brings, but right now we're not even at thousands of layers (as far as I know... please link if there's been more), and we'd need to be in hundreds of thousands range. Given the rate of defects also adding up and the need for some way to dissipate the heat... (almost all of that chip will be engaged while running - no chance for balancing power between systems) Yeah, still lots of challenges there.

(I'm assuming the original comment meant literally putting the network as is in the purpose designed chip)
Thanks! Wasn’t aware of the latter option.
I have had many similar experiences with just the free version of ChatGPT. Now I also ask questions more immediately. In the past, when a bunch of new terms or concepts were thrown at me, the effort to stop and dig into each of them via Google search was great enough that I would leave many stones unturned. When using GPT while studying up on a new thing, the friction is very little so fewer stones left unturned.

And like you mentioned, being able to translate concepts from a novel domain to one I'm very familiar with can be like translating an unfamiliar language to english.
It would probably be cheaper to put several relay satellites in extra-lunar orbits around Earth. Earth's gravity has a tendency to complicate lunar orbits.
Whatever period you define as the golden age of Hollywood, most of the movies are probably lost to time. That phrase — golden age — is a canard if it distracts from the actual point, which is that we've lost access to important artifacts of our culture and history, and we can't ever get it back.

Also, the fact that people have not seen a lot of movies from before 1939 does not argue that they should not be preserved. Most people haven't read The Iliad or Action Comics #1 either. Or visited the Acropolis, or watched the moon landing. We don't preserve artifacts because most people will want to use them in the future. In fact, we can't know what the future will need or want to know about our time, which is why we preserve as much as possible.
This seems like a scam. Act quick! Give us your banking details so we can put money in your account! We're honestly not Nigerian Princes asking you to hold on to $6M for us for a few weeks!
Reddit itself is next in line to become enshittened in my opinion.
I think I still don't understand 100%, but that's probably my lack of formal knowledge about this stuff. I appreciate the explanation.
Unfortunately, said monopolist providers work hard to make alternatives like this less viable.
This is scarily impressive.
Not in terms of cardinality, at least. Consider the set of natural numbers {0, 1, 2, ...}. This set is clearly of infinite size. If we remove 0, then we have a set {1, 2, ...} with, in principle, one less element than we started with -- yet it is also clearly infinite.

However, these sets have exactly the same number of elements (i.e. "infinity-1 is the same size as infinity") -- I can pair 0 with 1, 1 with 2, 2 with 3, and so on, so that every number in the first set is uniquely paired with a number in the second set, and vice versa.

Arithmetically, I can write `f(x) = x + 1` to go from the first set to the second set, and `g(x) = x - 1` to go from the second set back to the first set, and "clearly" we don't lose any information performing `f` followed by `g` -- no two elements land in the same place in either direction.
My layman take on LLMs is that they map tokens to points in an absurdly high-dimensional vector space (on the order of tens to hundred of thousands dimensions). The training process shifts those points around to make the related tokens closer, which eventually ends up encoding pretty much any kind of relationship you could think of between the tokens, semantic or otherwise, as proximity in one or more dimensions. The latent space has enough dimensions to accommodate all those relationships, which is how even tasks which require complex understanding of abstract concepts still boil down to adjacency search in that space.

In other words: the LLM isn't learning algorithms, it's building a high-dimensional point cloud, where things related to each other are closer together.

Now, IIRC the visual model mentioned above works with sub-1000-dimensional latent space, which to me feels like not enough... space to fit generalized concepts in. But then, the prompts to txt2img and img2img models I saw seem more like additive modifiers, with individual tokens mostly independent of each other, so maybe that explanation still fits.
> Don't know what the root of that is, [...]

Let me guess: Could it be coming from a poor family?
As special enclaves proliferate, what are the consequences for democracy?
> Fourth, to everyone say, “Yeah, but ChatGPT isn’t very good,” I would remind you that technological revolutions aren’t about absolute values but rather growth rates. If I’m big & you’re small & you’re growing faster, then it’s a matter of time before you surpass me.

Assuming the growth rates are static, then sure. But in reality they're fluctuating too, and we can't know how they'll change in the future. Plenty of technologies have had fast early growth, only to peter out long-term.
I suspect a lot of low-quality content still makes it into the training process and the RLHF layer is specifically designed to improve the quality of the output despite noisy input.

i.e. without RLHF, these models would for sure be vulgar, explicit, etc.
There's already a commercially publicized satellite that went out into geostationary orbit, matched orbit with an end of life telecom satellite, rammed a probe up its rear end to latch onto it and took control over its station keeping. Google satellite mission extension vehicle.

I'd be shocked if this isn't a capability the DoD has developed to a very high level.

https://www.google.com/search?q=satellite%20mission%20extens...
There's no reason why it should come at a pretty high cost to one's personal time, though. A plug-and-play box with a well-defined API for storage and sync is not an insurmountable engineering problem. The economics of it is why we don't have one, yet.
Any published stories you can link to? Would love to read more about it.
Is wasnt just your ip? Ive always used it as a guest.
Boggle is a party game with a built-in swear word filter
It was hard to back up media. Those vcrs had macro vision that made coping bought movies hard (we tried). Without the internet it was hard to tell why it was failing.

You could tape over the air stuff though.
Getting the most out of AI NPCs
Continuing experiment on adding Inworld AI NPCs to my existing narrative game. This time I explore how to more tightly integrate the conversational AIs with the existing game world for a better game play experience with actual game play examples.
Looking at a startup CEO's job as a binary decision tree
Nah, as an outsider visitor to both countries, Norway is definitely Saudi Arabia. I would have called Sweden the Pakistan or Syria of the North, except there's no comparison to the situation currently there among its peers. Sweden is in the same spot as the native Americans of the Thirteen Colonies.

In my opinion, a lot of people in the comment section don't get that there is a somewhat real concern that the abundance of oil revenue has made Norwegians less ambitious and innovative in comparison to what they could have been with that kind of a world-class education system, in comparison to its neighbours. And the greenwashing of the Norwegian oil industry is actually a real thing too.
Macs are used far less in Hollywood than they people think they are. They're too expensive for most television work and too limited for film work.

If Apple didn't mandate that Apple TV productions use FCP it would probably already be dead.
It all comes down to being in the right network. When his Loopt startup failed he had to be in the right network to fail upwards. Most people lack that network. I think the IQ and the hard work bits are common.
Oh absolutely - my critizism is about the decision to make them lazy by default.
Standoff over 95-year-old judge shows downside of lifetime jobs
I was talking about Ryanair specifically, have nothing against low cost. Ryanair lures you with low prices and then applies abusive policies on everything else.
I know some people with similar tendencies. One also has trouble getting rid of things.

I wonder if this makes it harder to find a partner?

Also, is it easier to spend money with a credit card than in cash?
Trust me when I say that we're paranoid about data too. Our security specialist was the second hire.

It was a huge issue with Auth0 recently when they were bought by Okta. We've spoken to customers who have had their prices increased 2-20x virtually overnight with no forewarning and they've been forced to go through a process with customer support in order to get access to their user base and move off.

I'll get someone from the team with a better understanding of the password hashing to get back to you on this but I believe it's bcrypt2.

As Dave mentioned we're trying to make it as easy as possible to get your users out. I'll chat to someone from the team about the automation, it's an interesting idea
I honestly don't understand what point you're making.
> There are only two types of infinities: countable and uncountable.

There are cardinal transfinite numbers (starting at aleph-null) and ordinal transfinite numbers (starting at omega). There are infinitely many transfinite cardinals, and likewise for the ordinals. There are also other infinite numbers in mathematics, distinct from the transfinite numbers of set theory, such as infinities in the projectively and affinely extended reals, the surreals, etc

Usually, discussions of transfinite numbers assume ZFC set theory (Zermelo–Fraenkel with the axiom of choice). You also have large cardinals which only exist if you add additional axioms to ZFC (large cardinal axioms). There is a hierarchy of larger and larger large cardinals, which corresponds to the ordering of the consistency strength of the large cardinal axioms.

How many cardinals exist, in ZFC? Well, "the set of all cardinals" isn't a set in ZFC – for the same reason that ZFC lacks a universal set (that's how it avoids Russell's paradox) – so we cannot speak of which cardinal is its size. Of course, if we adopt a suitable extension of ZFC (such as proper classes), then maybe we can, but then "the cardinal measuring the number of cardinals in ZFC" wouldn't be the same type of mathematical object (category?) as the usual cardinals are.

And then I assume if you replace ZFC with some alternative set theory, such as NBG or NFU, at some point you'll get different cardinals and ordinals arising. But that's a question that has always intrigued me but I've never known the answer to. I'm sure the answer is in some graduate maths text somewhere which is going to go completely over my head.
This one is interesting in that most or all audio was recovered, and some episodes are recreated by animators.
Large, creative AI models will transform lives and labour markets
I somehow saw the README just now , it touted that it may perform actions that one may not want without one's authorization. A literal attempt at an uncontrolled chaotic AI.
Can you list one invention or idea that Sam has had that requires 99th percentile IQ?
Hot take: Those TikTok meme slideshows or compilations of images with music over them? Where the music isn't synced to anything?

Silent movies.
It gave me the freedom to buy whatever monitor I wanted and cart it into work. Forget the 19" dell everyone else is stuck with! :)
The StableLM license is actually a ShareAlike license requiring sharing of modified model weights under the same permissive license. https://creativecommons.org/licenses/by-sa/4.0/
Any chance you could email me? Connor@kinde.com

Obviously a bit of a concern for us if you were struggling, would be keen to hear more
All of them are incorrect except for the last one.
Are you trolling? Metropolis is AMAZING and had an important role in WWII.
Prompt-injecting GPT-4 is substantially easier than "prompt-injecting" a human. It's really not comparable, no matter how many times people make the comparison. And adding additional contextual understanding to the model doesn't seem to be making it any better. LLMs are bad at this. Way worse than human beings are.

Also yes, we do avoid chaining human inputs/responses in many applications, because humans are security risks. The "telephone game" is a substantial problem with conveying instructions across multiple human agents.

There's a reason why the majority of hacks end up being variants of phishing attacks. Humans are bad security. LLMs are like that, except way worse and way more gullible and way easier to confuse with malicious input and without a persistent memory that would help block spamming repeated attacks on the same agent.
From the wikipedia page

>This method is used in cell biology[2] and for microscopy of intact, often chemically cleared, organs, embryos, and organisms

https://en.m.wikipedia.org/wiki/Light_sheet_fluorescence_mic...
Haha, well I just want people to get money from Facebook.
Last night I needed a really hard regex and I'm terrible at reflex so I would have spent literally hours browsing the web and testing expressions, wasting energy in the process. Instead I asked ChatGPT and it spat out the entire regex on the first prompt and it worked perfectly.

So, the flip side is that AI can clearly save enormous resources.

And how long will it be now before AI solves intractable problems like fusion energy, room temperature superconductors and perhaps even finds sci-fi tech like zero point energy?
It's also a solved problem for the vast majority of the population. You pay Apple or Google a few dollars a month and they handle backups for you. Those servers aren't sitting idle 99% of the time waiting for you to backup so there is no wasted power. Self hosting is fun but not the most practical option. And now iCloud has end to end encryption, there is little reason to bother doing it yourself.
It seems weird to me that you'd want a model per API to be trained rather than a model that understands many APIs. There's likely more similarities than differences in that the differences are really your domain model which infects the nouns of the but less so the verbs and structure.
> This makes me wonder if these models are perfect universal translators once they “grasp” a concept.

I don't have a paper reference, but earlier this month I've seen claims that in training GPT-4, it was observed that additional training in a specific task using a single language (e.g. English) improves performance for that task in many languages, strongly suggesting the model is actually learning concepts, not just words.

If that's the case, then I think we have indeed accidentally made a universal translator (limited to humans, though).