skysight-inc/HackerNews huggingface dataset:
> The changes from the drug are predictable because they wouldn't just randomly happen to you without the drug.

False. People experience euphoria without LSD, even randomly. There are entire spectrums of neuroconfigurations in which people precisely experience random bouts of euphoria. And that's just one of the effects you listed. In fact, one of the (potentially concerning) effects of LSD is called hallucinogen persisting perception disorder, in which the experience under LSD persists long after its use, and if you bother to read up on it, you'll also find that people who have never taken LSD can randomly experience them, proving you wrong again.

> You are overgeneralizing

No you are. You're clumping an entire mind-altering experience under "hallucination" and "euphoria". You should start asking, what is being hallucinated, why is the patient euphoric. That's the opposite of generalization.

> it does not appear that you are interested in a good-faith discussion.

Seems like an admission on your part. I'm speaking from research and experience. I've read books about LSD, I've experimented with it myself, and I've observed and discussed its effects with many people. My faith in what I'm saying is just fine. Accusing me of bad faith is nothing but projection on your part.

> The contents of a hallucination and the experience of having a hallucination are distinct.

You couldn't be more wrong. The experience of having a hallucination is fundamentally defined by the contents of that hallucination. Seeing hallucinations of your friends stabbing you in your sleep is not the same experience as feeling one with God while the Sun shines on your face. Different content, different experience.

> You're obtusely ignoring intensity, impact, duration and that the hallucination and euphoria are different effects.

And you're ignoring the actual contents of mental state, arguing in favor of simply measuring everything by "intensity", "impact", and "duration". Do tell, what's the "intensity" of walking through your back door? What's the "impact" of having a religious or spiritual experience? What's the "duration" of learning something about yourself?
More than likely iFit.

I don't think they're doing so hot after the Peloton lawsuit, and anecdotally getting their support to answer a simple email takes months. My last conversation with them by phone basically ended with the agent saying "go ahead and initiate a charge-back with your credit card, because even though you should be refunded my hands are tied".
Americans Pull Back from Values That Once Defined U.S., WSJ-NORC Poll Finds
https://archive.ph/4aheK
> gravimetrics

Calling it now: humanity will seal its fate the day we hook up LIGO to ChatGPT and it gets corrupted by gravitational waves from the beginning of time when the Great Old Ones freely roamed the universe.
Hmm I'm sold on git over https. One of many things that forgejo has right.
> But we you see something coming right at us

examples?

We haven't even seen a war coming right at us.

My old eyes can't see perfectly anymore, so I would probably miss it - whatever it is - anyway, but if you're so sure, would you bet everything you own on it?
Sure, and as an adult I would prefer it over most of the other modern productions. The richness of the backgrounds, the characters, the voice acting, the songs = absolutely top notch. But my kid just finds it boring - and he's right to an extent, it's very slow paced, and many scenes are just of characters walking along and talking with each other. Those scenes obviously make a lot of sense from the story telling perspective, but a kid doesn't find watching the congregation of wolves and their discussion about what to do with the man-cub even slightest bit interesting.
> once we learned they would come with great big ice cream scoops of propaganda and eye-rolling allegory

Is that new for Disney? Or is it just you don't like the current flavor of propaganda and allegory?
That doesn't help your case :). Your intuition is not enough to say it's coming right at us. So where is the data? If there is no data, then it's just an intuition.
"If you are 100% Mac then it's a good product."

I use 100% ma except for gaming. However, I use other browsers as well, so the coupling to Safari is a deal breaker.
I haven't used Pulumi, but I have used Terraform (years ago). That is pretty much exactly what I am talking about, but instead of creating a new language, just use an already established language meant for scripting.
FedNow is Fed's real-time account-to-account payment system / Zelle analog [1][2]. (Fun fact: the Fed invented the wire transfer, which originally went via Morse code [3].)

It will hopefully replace wires and ACH as a faster, cheaper and more secure system. (It is not a CBDC.)

[1] https://www.federalreserve.gov/paymentsystems/fednow_about.h...

[2] https://www.frbservices.org/binaries/content/assets/crsocms/...

[3] https://www.kansascityfed.org/research/policy-perspectives/p...
High population growth is associated with poverty, not prosperity. Economic growth of Eastern Europe pre-1991 and post-1991 tells everything you need to know. Countries that stagnated for 50 years went through a 10x growth in 30 years after the Soviet grip disappeared.
That's true, but I'd argue that TF is not as powerful as k8s. You could combine it with auto scaling services offered by cloud providers, but then you need to understand plugins and with k8s it often is a single value. For example, you can "add" Prometheus scraper just by adding labels. You won't have that with TF.
Does chatgpt plus collect data for training, or does it have more privacy than the free offering?
I just rarely see people tackling greenfield problems with the discipline to choose to do Kubernetes without also choosing to do "distributed" in a broader, complexity-multiplying way.

If not for Kubernetes (and particularly Kube + cloud offerings) I really doubt they'd do all the setup necessary to get a bunch of distributed systems/services running with such horizontal sprawl.
The only reason I use Teams is because my employer forces me to. The instant that changes, I won't touch the thing again. I'm certainly not going to start using it in my personal life.
> Every service --- and there are dozens...

Most startups that I see trying to go with microservices too early do so while keeping a shared database between the services, so they're not really microservices, but a distributed monolith. This turns into a massive, massive pain.

Doing microservices well means building out templates for CI/CD pipelines, templates for observability, figuring out how best to share (or not share) common credentials like third-party API keys, setting up a service mesh, setting up services like Backstage and Buf... which inevitably requires hiring dedicated engineers at enormous cost.

If you can set up a monolith, why would you switch to microservices? So that you can have a smaller container image and faster autoscaling? So the developers on the second and third teams you hire can wait a little less time for CI tests to run?

It's a pretty big mistake to adopt microservices too early.
Resurrection is different thing than reincarnation though.
> Large-scale startups use dynamic-scheduled cloud services in part to reduce coupling between teams.

This is the crux. It's Conway's Law in action. The promise of Kubernetes to a large org is that you can split the baremetal and OS layer into one team that manages everything up to Kubernetes, and then that's the common interface where all other teams deploy their applications into. And besides the team separation, the value is that you have a central layer to put automatic policy enforcement, engineering doctrines, and so forth.
Many people prefer an audiobook version of a book to be read by the original author, which isn't always the case. If an author could make that version happen by using 20 minutes of their time + text2speech of the whole book, that would be an immensely positive value proposition on the side of this company.

But I'm not sure. Part of why I'd prefer the original author to read a book is that they vocally emphasize certain parts of the book, and I don't think these models could do that at this point.
> At this point I've just accepted that AMD is irrelevant in ML and they're fine with that - they're not making much of an effort to change that. I really and truly wish that wasn't the case but I've accepted that it is.

Same here. AMD's neglect of non-gaming uses is likely how Intel is going to become number 2 in GPUs.
Someone pointed this out to me on Twitter, it’s a great point!
It’s similar, tho I’d say that is more like App Engine. The azure equivalent is probably Azure container instances
> reliability

Humans are unreliable AF and we employ them just fine. Better reliability would certainly be nice but I don’t think it is strictly speaking necessary
Is you takin notes on a criminal fuckin conspiracy?
GPTs are GPTs: An early look at labor market impact potential of LLMs
Both your comment and the parent comment seems biased and in a way parallels jingoistic comments overhyping Indian achievements (but in the opposite direction).

Was there any objective metric by which ancient Indian engineering was behind others?

There are other Indian achievements that have no parallels elsewhere in a similar time. But you can't overgeneralize from them in the other direction either:

https://www.bbc.com/travel/article/20170110-indias-ancient-e...

https://mymodernmet.com/kailasa-temple-ellora-caves/
Too much anxiety there from the fact that they now require you to run kernel-mode spyware (EAC). Haven’t logged in since.
I’m a third world developer.
In the third world, at least in Ghana, iPhones are over represented in the middle class and by association many people have MacBooks.

This means there is a glut of older models in second hand market or passed down to kids, cousins, and family friends.

The problem with the 99 dollars is that it’s payable yearly. Yes someone might sponsor you once and give you enough for a single year but they won’t do it ever year. You have to make enough yourself and that’s a tall order of business if you are a student.

Thus no one learns iOS development first.
The "winter" analogy (I remember the AAAI when marvin made that comment) was to the so-called "nuclear winter" that was widely discussed at the time: a devestating pullback. It did indeed come to pass. I don't see that any time soon.

I think the rather breathless posts (which I also remember from the 80s and apparently used to be common in the 60s when computers just appeared) will die down as the limits of the LLMs become more widely understood, and they become ubiquitous where they make sense.
Are there any comparable tools or filters you find useful now? I have an old epileptic cat on my couch, and I’m always worried subjecting her to my horrible old anime. I was just yesterday thinking a filter like this was probably out there, and if not, might be easy to make. Looking for VLC plugins, though, I don’t see anything
Yes it allows strings or references to the function. My issue is that since the former is allowed, either people start using that method, or you have to start a “debate” within your team about patterns to avoid.

The serializability of your state itself has nothing to do with how events are bound to callback functions. If you serialize a string name of a function and not the source code of that function this buys you nothing. The source code itself is all text, so its serializable no matter whether the code is suitable for being statically analyzed
If that was true, the US would be producing orders of magnitude more nuclear energy than it is today. In reality many sectors of the US economy, such as housing, are utterly crippled by regulation.
Uhh hellooo Terraform? I was just discussing docker-compose today, Terraform has the advantage of State Management..

Terraform is just as easy, but probably a combination of the two docker-compose and terraform are much more effective.. Universal Infrastructure interface is the name of Terraform's game.. They already done what you hoped docker-compose did.

Terraform deserves serious kudos for interoperation between all the clouds, docker, vmware, and literally tons of API modules.. Their Infrastructure Modules are nothing to laugh about in a JSON compatible example..
Serious, they even give Ansible a run for their money when Red Hat was all the blaze.
Animal Personalities Can Trip Up Science, but There’s a Solution
I know this is how many people do it, it strikes me as surprising that you don't need this compromise at the very low end (Breville Bambino), nor at the high end (Decent), but there's nothing in between
> And then it did.

After the dotcom bubble exploded. Can't we call that a winter?
Linux 6.4 Device Mapper to See Improved Concurrent I/O Performance
The time between rather large steps in advancement is small. So small that we think, oh yet another AI advancement, I'm getting used to this.

At first we were perplexed by a computer beating Karpov at chess.

These days however we're not perplexed anymore that a lot of creative jobs have been replaced by AI. (I think those people will find another passion no doubt, that is another topic).

Next thing is less creative jobs. But i'm already thinking about climate change and hunger mitigation. You could call me an idealist, only time can tell, of course.
That requirement vhas been gone for decades if it ever existed, though static library semantics look a bit like that if you don't pass extra flags around them.

Linkers are multiple pass if doing compiler optimisation things. Otherwise they're pretty close to cat + patch some pieces, single pass seems fair.

It's not immediately obvious to me why linkers don't say which functions were making the undefined symbol call. A suspicion is that the linker may not know what the function name is for the corresponding instruction without digging it out of the debug info and the linker probably doesn't have the corresponding parser ready to hand. It probably could narrow it down to a source object file, though libraries make that difficult.
Sorry, I am not well versed in the finer subtleties of the domain's jargon.
I don't consider what a moka pot makes to be "espresso", and neither do most coffee experts like SCAA.
You are confusing the entirety of all text corpus to _all data_.

The next step is multi-modal data. Think videos, sounds, touch, etc.

An 18 year old in fact "trained" on much more input data than GPT4, orders of magnitudes more, considering the complete informational content of our 5 senses and implicit structure of our brains "learned" through evolution.

Not to mention recent research in LLM scaling (chinchilla) reveals how our current models are undertrained and over-parameterized.

We have not plateaued yet.
"Any sufficiently complicated data templating language contains an ad hoc, informally-specified, bug-ridden, slow implementation of half of a Lisp."

Change my mind. :-P
It's inevitable, really. But that's like saying Washing Machine changed fashion. It might have, but the changes aren't all that abominable, either.
Also worth mentioning the beacons used to assess current propagation conditions
I mean multiple files.
idk if there will be that much of a winter, but i would welcome it

in the late 90s and early 2000s, neural network had a significant stigma for being dead ends and were unpromising grads were sent - people didn't want to go there because it was a self-fulfilled prophecy that if you went to research ANNs then you were a loser, and you were seen as such, and in academia that is all you need to be one

but, in real life, they worked

sure, not for everything because of hardware limitations among other things, but these things worked and they were a useful arrow in your quiver as everybody else just did whatever was fashionable at the time (simulated annealing, SVMs, conditional random fields, you name it)

hype or no hype, if you know what you are doing and the stuff you do works, you will be okay
There will never be another winter moving forward.

ChatGPT as is, is already transformative. It CAN do human level reasoning really well.

The only winter I can see, is the AI gets so good, there is little incentive to improve upon it.
My stepmother tells she has been getting this type of scam, minus the accurate voice, for years. About one a year.

I'm not sure she would have spotted the scam if it had sounded right.
Croquet and Teatime are great. If every computer would implement the Croquet protocol then that would be great. But my point is really that the protocol you use to interact with computers should be minimal and just typing in ascii characters on the terminal is about as minimal as possible.

Characters are the transfer-level (ISO something?). By assuming that all inputs come as a string of (UTF?) characters we retain the maximum freedom as to how to interpret those characters. That makes computers very general purpose.

The Smalltalk -protocol assumes some specific data-structures for representing the messages and results. Once you choose and require one such representation you would lose the ability to use any other representation, and thus we the ability to evolve ever more and multiple representations encoded as characters.

Also, it is not Smalltalk Objects that do the interpretation of messages, like a Computer. It it is the Smalltalk runtime that does the interpretation.

How we design the communication between humans and computers should be max flexible.

This has something to do with JSON. JSON allows many different types of programs and computers interact with each other -- because it doesn't allow you to pass around Functions. JSON only passes basic data-structures. Therefore it is very general and flexible. Whoever gets a JSON-message is free to interpret the arrays, records and strings encoded as JSON in any way they want. Plain ASCII is even more general and flexible.
I am not an expert macOS/iOS developer but I unsuccessfully played around with the API a couple of times.

You can’t access passwords stored by another app (app identifiers appeared to be globally unique, e.g. com.apple.Safari). There was an additional hurdle to access/store items in the iCloud keychain, though I forget what exactly.

This restriction makes sense.
You need a decent sized team to run an on premise k8s infra. If you’re in the cloud use a managed k8s.

It’s not for everyone in that I agree with the point the author makes. But if you have multiple teams doing app development k8s can be really nice. We do data movement and ML services. AKS has proven great for our use.
The SPA vs server side rendered page debate is so exhausted at this point. The tech is such that they’re nearly equivalent if you have a good team that understands the appropriate technology.

You can have an SPA with a proper router that respects page history, loads html fragments from a server, remembers positions on reload, etc.

You can also have a server side rendered page sprinkled with JavaScript and use web sockets to create dom element level transitions and interactivity

The “MPA” described in the article has always been possible in a “SPA.” It’s more about the UX of your app than anything else
I have too many Monty Python jokes in mind for HN's taste
SRT is transport-agnostic. I've streamed AV1 within MKV within SRT.
I don't need this but I think it is awesome if it helps people!
That we are running out of data makes continued improvement more likely, in the medium/long term, because it means we have found close to the maximum amount of static data that models need to be trained on. This means that one of the factors for compute requirements (static training data size) has reached its upper bound while still within our computational capacity today, and further improvements must come from elsewhere.

So yes, easy data scaling is coming to an end and may or may not lead to a short term winter. But this also means that, all being equal, training a model will be cheaper compared to a situation where we still had orders of magnitude more data to go.
I've just spent a 4-5 hours session with ChatGPT trying to fix a problem with `aiohttp`.

The specific problem was what while I'm in a WebSocket handler, I cannot await on asynchronous generators which act like `asyncio.sleep()` and send messages to the client while I have `heartbeat` on that `WebSocketResponse` enabled (it sends pings to the client and waits for pongs to see if the connection is "alive"). The issue is that the incoming pong is not getting processed so the client gets disconnected.

I struggled a lot with ChatGPT's help, but it was mostly insightful, like rubberducking with a duck that does actually try to help you.

Occasionally I went to Google to search for a very specific way of solving the issue; for me Google is the gateway to Stack Overflow, I never use Stack Overflow's search.

But I didn't find anything of value there. And earlier today I noticed that I had unread messages in Stack Overflow, and when I checked how many consecutive days I have been on SO: 1. I used to be 100+ consecutive days on SO and lately I'm struggling with using it as the to-go place for my programming questions.

And this is where your comment comes in: I was thinking to myself what is going to happen if more people move away from Stack Overflow, that place is a goldmine of programming information, who will feed it?

One thing I really hope is that OpenAI adds some "modes", like what were poised to expect from Copilot X, where we get different layouts for the webpage, so that we can choose a "programmer mode" which actually lets us give proper feedback in the sense that "this code worked", "that one didn't".

There's already a feedback, but it's not task-oriented. A programmer can submit to it as well as a cook, the result won't go into a "database of usable code" which ideally would be publicly accessible or even get formed into a Question/Answer pair which is prepared to be submitted to Stack Overflow.
Unless of course the limits of LLMs are just outside the bounds of LLMs being able to write their own successors.

In which case progress becomes unlimited and there’s never an AI winter again.
Same. And now I'm trying to figure out if there's any advantage to using the UI in System Settings instead of the app I already know.
I'm a simple man...I see a Bryan Cantrill quote and I upvote.
> When I was but a little boy, Terminator 2 had CGI and cost brazillians.

And it has very few CGI shots compared to modern movies. It only had about 50 CGI shots in total.

In comparison, Everything Everywhere All at Once which had tons of practical effects and budget constraints had 500. A modern blockbuster movie pushes the number of CGI shots beyond 2000.

> We have entire movies made with humans basically just standing in front of green screen. You cannot seriously claim it has gotten harder or more expensive.

Again. For some reason unbeknownst to me you keep assuming that CGI is cheap and easy. Especially given the amount of CGI, resoultions and the details that have to be there.
Weird take, I've seen nothing but seething insanity from the right ever since Biden got elected.
OpenAI was backed by probably the biggest tech company around, Microsoft. Without the computing afforded by Azure, they would have problems training and running the LLM.
GDP (PPP) Ranking according to the IMF in USD Trillions

1. China | 30.07

2. USA | 25.03

3. India | 11.66

4. Japan | 6.10

5. Germany | 5.31

6. Russia | 4.65

7. Indonesia | 4.02

8. Brazil | 3.78

Considering that China is the premier industrial powerhouse of the world, and Russia is probably the country with the vastest reserves of natural reserves in the world, with a highly educated population, and that probably the BRICS will be soon joined by the oil behemoths of Saudi Arabia and Iran, things don't look to me as straightforward as they look to you.
This time it isn't a bunch of empty suits from McKinsey saying it. It's the technologists that built the Internet and smartphones.

By all means keep your own estimates of what the world will look like in 10 years and act accordingly, but I'm trusting my own technologist's judgement on this one.