skysight-inc/HackerNews huggingface dataset:
Sometimes I feel like all we’re saying is that we’re surprised that all of our capabilities might just be a statistical model.

From everything we do know, what else would it be? The arrogance of consciousness is our blind-spot sometimes.

Even the words my brain just typed are combinations of words and arguments from everything you’ve ever agreed or disagreed with.

So, in my view. Traceability in AI is possible, but so should traceability in neurology be possible. It might not be as important as it seems to us. And that humility hits people in various ways.

My idea to calm everyone down about traceability is to have the AI write a log/wiki in parallel with its activities.

Putting toothpaste back in a tube has never worked, so don’t light your own hair on fire, right?
I would guess that the very temporary nature of your trip looked like you were just there to collect something and come right back. None of which justifies the subsequent outcome. Good luck in your lawsuit.
You really tripped off a cliff in interpreting what I wrote.

The person I replied to said, "I got what you got working remotely by living close to where I work". Do you understand now why there's such a far degree of separation between those two things? Far more people can afford to work remotely than those that can afford to live near a tech campus.

Having privilege isn't shameful. Often privilege is gained along side accomplishments that were earned. Hybrid work is a relevant topic, and a lot of people readily eschew remote workers experience by saying, "You can have all that by living close to campus! Oh it's too expensive to buy? Just rent! Oh, rent is expensive and not nearly comparable to my 10 year old mortgage? Get room mates!" It gets old, and they're not proper analogs.

Anyway, sorry you raged hearing about why this wasn't an analog, have a better day.
You shouldn't be downvoted as you're factually right. MAU have been tanking since Dec 22. They lost almost 50% from the peak, and the line continues to go down, losing a few thousand active users every single day.

Which isn't a total failure, it can be a small self-sustaining network but it fails to have a broad appeal.
New study finds plants ‘scream’ when stressed or injured
It appears that you didn't enable optimizations. That's needed for SIMD, which can only be taken advantage of with contiguously packed data.
Jobless claims edge up to 198,000, higher than expected
You go where the people who might know better talk about these things!

AV forums for picking a TV or projector, cooking forums for picking a knife set, and HN, you know, for picking the contrast level of your <body> text.
(PM at Retool) For self-hosted deployments, you can point an existing Postgres DB (v14.3 or later) to Retool Database - though it’s more specifically designed to quickly evolve a new database. For cloud customers, we currently don’t support pointing your own database but it’s something we’re thinking about!

No custom extensions - we wanted to make it a lightweight and effective layer on top of Postgres. So it’s just a vanilla Postgres database under the hood. The UI gives you access to a lot of the power of Postgres, and for anything that you can’t do via the UI you can use the connection string directly: e.g. create triggers, create compound unique keys, etc.
Crafting Events
There's a good amount of both.
Pseudocode Showdown: Python vs. PlusCal and TLA+
There's a forum/community of people who get migraines / severe eyestrain from LED bulbs at LEDStrain.org. It's likely related to any LEDs that flicker (PWM).

Also a PhDs website: www.FlickerSense.org
“You presume a great deal, and it misleads you badly.” -> this seems to apply especially well to believing US corp-funded propaganda. Thusly you are confined and constrained to an extremely narrow filter. You seem to be reveling in it all though, so I wish you the best in your mainstream consumption. You have made judgments about people based on slander and deception. Watch a bit of The Jimmy Dore show, and perhaps your eyes will open just a smidge.
The writers at Buzzfeed using AI to help write articles , maybe we can consider them savvy entrepreneurs, and this is not an attempt to sugarcoat their actions. This situation exemplifies the concept of Table As Set, which means that if you offer a money-making opportunity to the public, you should expect people to take advantage of it. If you don't want computer-generated stories, then stop paying for them and explore alternative business models. As technology advances, it will become increasingly difficult to distinguish between human and AI-generated content. Furthermore, these individuals are not guilty of plagiarism because they are using AI as ghostwriters, just like traditional publishers have used ghostwriters for years. This is no different from the case of deceased authors like Tom Clancy and V.C. Andrews, who now have ghostwriters continuing their literary legacies. Ultimately, the question is not whether the stories are human-written, but rather whether they are entertaining. This issue will resolve itself, and businesses will either accept the current reality or face failure. Just my 2 cents :)
I constantly read good things about Tailscale, as well as to a lesser degree Cloudflare, that I think I'm missing out.

But I've experienced so many times that companies change things and this can mess up the workflow or infrastructure really bad, adding days of work to implement an alternative.

With your hype, how much do you trust that you can rely on Tailscale? Should I feel safe when giving them control?
> I guess people don't want to upstream patches for some reason.

My insanely biased impression based on my experience is that this is just the norm for Windows-centric development. Generally you have no expectation of being given access to source code at all; if software is free then it's "freeware", but for whatever reason the developers don't generally want you modifying it. So many power user tools just died out when their developers quit working on them because the source code was not available, at least not under a free license.

I remember back in the early days of Minecraft (beta+ era) I'd just go on the forum and download random jar files uploaded by whomever, and mod Minecraft with them. Nobody asked for source code. Or thinking about doom9, for years and years the norm for tool development was that you'd download a random exe from someone on a forum, with a single thread for "support". If they disappeared one day, that was it. That's also the way a bunch of Android stuff is/was developed on xda-dev.

The more Linux-centric set of norms has expanded outward into a pretty robust open source ecosystem, but it's by no means the universal norm for free (as in beer) software development. Even in cases like Paper / Bukkit where the source is free, building the software yourself is very much not the norm, often is not even supported.
Thanks for the reply.

All I am saying is that YC terms should be a place for clarification outside of HN - and if Q's show up on HN, they should be answered and addressed in a YC FAQ/forum-specific/whatever...

Grats.
When we took the money we were planing to build up the original idea, not to start another one. For the consecutive growth of the original idea it wouldn't be an issue.
When Google paid websites to promote Firefox
This explains why Fridman went into a race/IQ eugenics spiel out of nowhere in the Sam Altman interview. He must have at the time been doing prep for the interview with Yudkowsky and communicating with Yudkowsky about his big ideas.
Thanks for providing this insight. Is A100 the only platform? Can we pause/resume all such platforms simultaneously?
Something we think about a lot!

Under the hood, we've built an orchestration layer that keeps a database, a vector database, and storage in-sync. For the startups we work with, this has to scale to thousands of documents with high throughput.

We're continuing to add more features to make this even better for production use cases: RLS/auth, vector ranking, caching, etc.

Still a work in progress, but excited to build on top of the platform we have now.
I’d be curious what does make them successful.
Sweet Python Syntax Sugar for Improving Your Coding Experience
An Equilibrium Perspective on AI
Every time I try to talk to ChatGPT4 about anything more complicated than doing madlibs with wikipedia and stack overflow entries, it goes off the rails immediately. My sense is that LLMs are just a convenient interface to _certain kinds_ of knowledge that are well represented in the training data. I expect that generalizing to other domains for which training data is not available will prove very difficult.

I must admit, the characterization of the responses of ChatGPT as "being like that of an expert" strikes me as utterly absurd. In essentially every field where I have expertise, talking to chatgpt4 is an exercise is confusion (and not on my part).
Use of Meta tracking tools found to breach EU rules on data transfers
Saying Goodbye to Open Source Bridge (2018)
If you don’t trust the manufacturers, you’ll have to find an expert to trust, or tear down the bulbs and examine them yourself. The best way to know for sure is to measure the current being driven through the LEDs and compare it to their maximum rated current. The ones that don’t last long are usually being run at their maximum current, producing a lot of excess heat which shortens their lives dramatically.
There are a lot of microbes that are unculturable to this day and to my knowledge, no one has really done a proper investigation to see if the universal metabolic molecules like, for example, the hydrogen carriers NAD+/NADP+/NADPH, are truly universal. If we're going to see evidence of multiple trees of life, it'd be in those little details because most of the food chain has to interact with each other. Or fungi and other decomposers can bridge the gap.

I think over the span of billions of years, evolution tends to converge too much for the trees to remain very distinct from each other.
Just want to ad to this statement. Highest quality piece of software I've used in a while.
Ok, I've added that information to the title—thanks. There's also https://www.theverge.com/2023/3/29/23662621/google-bard-chat....

Unfortunately the original report (https://www.theinformation.com/articles/alphabets-google-and...) is hardwalled.
Related: https://apnews.com/article/technology-business-layoffs-buzzf...
Author of the blog post here.

I wrote blogposts for two reasons:
1. To think through things
2. To get external perspectives from interesting people

This definitely ticks the second box, so thank you.

Could you suggest anything to papers/books to read about Wins Above Replacement?
> small software businesses asking for money is a loud signal that they are much less likely to be successful at all IMHO

Money doesn't seem like the main benefit to going through YC (otherwise there are lots of other investment firms one could approach). The main advantage seems to be the network, connections, and expertise on running a business.

Sure, if I had another 30K I'd have an extra year of runway, which can be pretty valuable right now. But I suspect solo-bootstrapping without a good VC will result in a lot of friction at points that a specialist VC would be well-suited to assist with (providing standard ToS, verifying compliance, business structure boilerplate, etc)
They used to have a page that summarized it all, but now there's a book! https://git-scm.com/book/en/v2
There's no indication she was a user of her product. Simple greed seems to be the explanation here.
I think they could do literally anything, because it is closed source; including forging random keys or ignoring the notification setting, ...
What percent blue is Chicago? Bet it's not 55%.
I had to do a search for other sources and found a slightly better article from the Times of India:
https://www.indiatimes.com/trending/social-relevance/punjab-...

As for the substance of the article... I'm speechless
Please consider reading the linked article. The longest continuously active incandescent bulb in the world was switched on in 1901.
So many YC LLM companies.

Were you all early LLM adopters?

Or is this a brand new idea post-GPT-3?

Or did you pivot from another idea once GPT-3 took off?
Please consider reading the linked article first. The longest continuously active incandescent bulb in the world was switched on in 1901.
> Why?

Because it's bad practice to provide sensitive information to untrusted sources, and if you are an ethical developer, it's an anti-pattern to write software that encourages bad practices.

Your credit card company will reverse any authorized charges. Will you email me all your credit card info?
imo, this particular move will likely hurt Twitter more.

The reason Twitter attracts its current audience is a) celebs & politicians, and b) Twitter-specific creators - think of all the thread writers and serial memers.

All of these people rely on third party tools to schedule their tweets. No one is going to manually craft 1/30 thread series or tweet 8 times a day.

If the cost of running third party tools goes up 10x, a lot of creators, especially on the lower-end, will leave. I can pay $10/month for a tweet scheduling app, but if I had to pay $100 (because the app has to now pay 20x), I won't bother.
> in the sense that there isn't such a blurry line between the OS and its applications.

Interesting. It never occurred to me that there's a blurry line between the two. It seems to me that there's a very hard line between the two. I'm not sure I understand what you're saying here.

> For example, installing a C# or Go compiler on Linux is great with a package manager. But doing the same with a C or Python is different?

I'm confused by this question, so forgive me if this answer isn't really addressing it. A package manager is a convenience, nothing more. Using one means makes your life easier in a number of ways. But not using one isn't really that much more difficult. Package managers are 100% optional.
Could anyone point me towards a relatively beginner-friendly guide to do something like

>download all my tweets (about 20k) and build a semantic searcher on top ?

How can utilize 3rd party embeddings with OpenAI's LLM API? Am I correct to understand from this article that this is possible?
> Who will be the next president of Germany?

> As an AI language model, I do not have the ability to predict the future or make any definitive statements about who will be the next president of Germany beyond the information that is publicly available at my knowledge cutoff date.
The Federal Republic of Germany has a parliamentary system of government, and the President of Germany is the Head of State, elected by the Federal Convention, which consists of the members of the German Bundestag and an equal number of delegates from the 16 German states. The next presidential election is scheduled for 2021. The current president is Frank-Walter Steinmeier, who took office on March 19, 2017, and his term is set to end on March 18, 2022. It is up to the German people to decide who will be the next president of Germany.
Coupling base OS updates and user programs together sucks, but nearly every Linux distro does it. Probably in part because the way Linux's GUI (and media generally, including audio) stack works makes cleanly decoupling the OS, including the GUI desktop portions, from programs, difficult. The distros that do rolling-release introduce a different problem of fiddliness and frequent risk to system stability, by making everything update faster and usually assuming you're running latest or near-latest of everything (and you're on your own if you're not).

It's the cost of so very much choice and of having 500 entities all separately defining what "the Linux desktop" means at any given time, though I'm not sure it's always appreciated just how steep the price is. For fairly a broad category of "nice things", it's literally why we can't have them (in Linux land). IMO it's the core reason we still haven't seen the "year of the Linux Desktop".
I have gradually replaced every light bulb in my house since 2017 with Philips Hue bulbs (most color, but some white only) and not one of them has flickered, become more dim, or failed. On the other hand, the "cheap $10" LED bulbs that I originally installed when first moving in - because I could not afford $50 a bulb - have all died and were part of my motivation for upgrading to Hue. This has also happened with the cheaper LED bulbs that my mother and in-laws installed, which lasted about a year. I wonder why the Hue bulbs last so much longer? They have been well worth the money and have become a staple of my home automation.
That analogy is nonsense. We're actually making measurable gains in AI and the pace of progress is only increasing. Belief in this isn't based on faith, it is based on empirical evidence.
Is there research that shows that a well maintained API adds value to large established companies?

Maintaining a good API for an ever changing product is VERY non-trivial. Designing easy to consume APIs and writing good documentation requires some specialized skills. Internal APIs are often very different than external ones. Some times APIs need to be duplicated which can make breaking changes of the underlying systems more complex.

I can see the value of APIs for a growing company that is trying to establish itself, but there must be a line somewhere.

I suspect a large amount of API support over the last decade has been driven by brand development and recruiting.
I wouldn't describe the review as "scathing", although it's certainly titled as though it would be. The parts where the author offers the most critical complaints seem to be particular to their experience as a startup based in Singapore, while most of the YC companies are in SFBA or recently NYC. And in that, their feedback may be more useful for YC or others than a generic story from someone on YC's home turf.

They also seem to be thanking YC for basically inducing them to shut down before they had lost everything. Here it is more contradictory to what they wrote (3/5) about YC as a "school", because they apparently gained quite a bit from the advisement, even if it wasn't in the way they initially hoped. Though, I can certainly understand being a little unhappy with the bearer of bad news, even though we've all been taught not to be.
I wish it was possible to do this without the crowd sourcing, I have a low-volume HDL project of just ~40 gates and 32 shift registers (+4*32 gates) which discrete is quite bulky, FPGAs are overkill and CPLD works but are often too small or unavailable.

Based on rumors maybe atomicsemi will provide this at some point.
Their bulbs and batteries work great here.
She’s not actually a cop, as far as I can tell. It’s a little weird that the union would employ a civilian for the job, but not unimaginable.
imagine instead just making it look like someone is attacking you

such incidents stemming from human error have already gotten us close to responding with force
This is great, but similar to GPT4All, it will likely be deemed unusable for any commercial or otherwise "legitimate" use cases since it's trained on OpenAI completions from sharegpt.com.

https://github.com/nomic-ai/gpt4all
To hell with the OSI 7 Layer Model (1999)
Bringing Compiling Databases to RISC Architectures [pdf]
I left 2 months ago. Best thing I did this year so far.
It’s interesting when we say Google did this. It’s actually and likely some people that work for Google and are on this forum did this. Knowingly, not by accident while slurping up the rest of the internet, and got paid to do it. I wonder what the engineer view on this was/is. I have to assume they ballpark know the terms of the openai data (regardless if you disagree or not).

Anyone care to steel man the argument for why this was a good idea?
We detached this subthread from https://news.ycombinator.com/item?id=35372444 - it's fine, but I'm trying to prune things so the thread isn't so top heavy.
How the prove four color thoerem step by step
Also NPM is the only source that can show you the code you're actually going to get whether you download and inspect the tarball or you use NPM's built-in code explorer.

A github page really isn't what I want at all when asking questions about an npm package except for the fact that I'm used to its code browser, so I tend to click it out of habit.
> Being a Gen X’er I can tell you in the 80’s and 90’s it was video games and heavy metal music they were blaming for the kids’ woes.

Yeah, 80’s heavy metal music (and D&D, though politically that was more at the local level, though like heavy metal it tied in with the Satanic Panic), 90’s video games and rap music (though obviously there was no clear cut over, just a gradual shift of focus.)

And the arguments were pretty much the same as with social media, including a whole lot of post hoc ergo propter hoc without good evidence of causation and where there were alternative and stronger causal explanations.
There is no international law (or agreement) defining the vertical boundary of a nation’s sovereign territory/airspace, but I guarantee no Libyans were up at 80,000'.
Does it improve the odds of getting in or is it some sort of kickback to the referring party if they do?
Why are you responding to only parts of comments and ignoring the context around it? It just makes it look like strawmen arguments.

> Can learn arbitrary functions says nothing about efficiency or any practical considerations.

This is absolutely true. A turing machine can perform any computation, but they are not really practical for anything outside of an academic exercise.

> A vanilla neural network can't learn a sine function or anything periodic, for inputs outside the range of the training data.

This is also true. A vanilla neural network isn't that useful outside of very basic tasks with a lot of training data. It's only when you start changing their shapes and using specialized techniques to fit the problem that they become practical. Even a simple task like classifying MNIST digits is done far more efficiently using a basic CNN than a vanilla NN.
There's no crime in simplifying the signal chain to reduce complexity. Theorems are great, but implementations are what matter and usually where things fall apart.
cntrl+f marvel
Making the "right" product, and talking to the "right" customers.
That's still my favorite line from the entire series. :)
On the Fedora side you can have CentOS Stream
And where did OpenAI get their data from?

I'm somewhat minded to hedge bets that all AI outputs will ruled be non-copyrightable.

I know of a research team training against my TTS service. They've got five robots ingesting data now.

It's all ouroboros.
The heat map of availability time, 98.58 (Jan), 99.07 (Feb), and 99.71 (Mar) trends upwards.
in what way does it lean to hard into community? you can run scratch 3 offline, without any community at all.
People drive around in more or less Chinese built cars. Or cars using Chinese tech. A bigger threat perhaps.

Apply the pressure on Google and Apple instead to provide a safe platform even if the apps are rouge.
want to push back a little though https://www.oldhouseonline.com/house-tours/story-sears-house...
I don’t understand… GPT is itself trained on copyrighted text?
Not because this is a Fedora topic but Fedora Silverblue (or Kinoite if you prefer KDE) could be pretty much that if you create Arch or Rawhide toolbox container(s) for your development environment(s).
That's exactly what I did here. https://github.com/dbasch/semantic-search-tweets
People work hard to justify their decisions after they made them: https://en.wikipedia.org/wiki/Choice-supportive_bias
I recall Hackernews falling all over itself over Theranos and Elizabeth Holmes. It was hard to blame them; at first glance the Theranos machine seemed ambitious, but within the bounds of what could be pulled off.

Then the cracks began to show...

The difference is that GPT has had some successful demos that look pretty amazing. Time will tell if we have merely invented a more clever Clever Hans.