skysight-inc/HackerNews huggingface dataset:
My opinion is that everything in the infrastructure-as-a-service space is atrocious. If you know bash you can script any system administration task. If you know ansible you can script any system administration task... If you know bash. Same with vagrant, puppet, etc. None of those things ever lift a burden off you, they just add burdens.

I had a system years ago that would build a network of machines in AWS, run a data processing pipeline, make an AMI, run tests, and submit the AMI to the store. It was easy to code up in Java using the straight AWS API and wouldn't have been hard to port to some other cloud like Azure. It did all sorts of things that Cloudformation couldn't do and it didn't lock me into a vendor.
RaceWarKingdoms – Browser MMORPG From 2001 that's still online
Er... The CA needs to be used to verify the certificate by the third party, ergo it will know the websites.

It's virtually impossible to make a verification system that's anonymous. Somewhere the third party and authenticator will need to share a secret that you cannot touch.

Furthermore, you would need the government to agree to this system and mandate this system universally and pay for the authentication services to exist. That's not what Florida is doing.
Ask HN: Archive.today vs Wayback Machine
What archiving service do you prefer?

While the Wayback Machine is a well-known giant in the world of web archiving, I'm certain there are many other alternatives out there!

Recently, I stumbled upon an interesting alternative, archive.today, and I'm eager to learn more
Penn Jillette wants to talk it all out
and if I do postpone tasks,

ranked in a hierarchal to-do list app,

synced to myself and my partners in vital categories of my life.

What does, and doesn't make it onto today's list, or is Snoozed/set to appear as a task later, these are wildly important.

If you can't put it on "paper", it's not straight in your head, clear to you.

If these don't seem vital yet, you're either lucky your business is simple, you've already delegated it all - or you're not seeing the whole picture.
Sorry, I don't have anything more concrete than "general vibes."

Like, there's thousands of libraries and modules in Racket, sometimes competing with each other, that feel like they have been developed for a school project and kept around. And it is no secret that Matthew Flatt, one of the lead developers, is actually a professor at Utah University.

In my experience, it is pretty easy to tell when a language and ecosystem is developed in academia, or developed by software engineers by trade. They have two very different goals and approaches to the same problem. The former might focus on educational purpose for newbies, the latter on shipping production-ready software for professionals.

(In my humble opinion, this is one of the reasons Smalltalk never went very far in the real world. Too much focus on the educational aspect of it.)
As an 10 year Mozilla veteran, I agree you should switch domains/project names. Mozilla was able to negotiate a deal for a number of reasons- Mitchell herself is a lawyer, the project is a NPO, and probably other reasons too, but it's not worth the effort to defend a slightly infringing name against the copyright holder in this case.
I worked at Lowe's circa 2013 and this was my experience as well. One thing to note is that if you're ambitious and not incompetent, you can get pretty far career wise in retail. That was the impression I got anyways.
Yeah, it's a great comment. Since then things like Temporal have sprung up to try and address this state machine complexity of "accidental decoupling"
Verifiable Random Function
Most people don't eat species with human level intelligence.
This is cool. We once programmed our drone to run the propellers and play notes based on a midi input. We used the accelerometer/gyro for frequency feedback.

https://youtu.be/oXBWA_A8kFU?si=iwomhS7nDFCIhhbb
I think the case for Stable Diffusion in general is not too bad, however EFF tempers their optimism when it comes to cases where the model may actually memorize the inputs:

> To sum up: a diffusion model can, in rare circumstances, generate images that resemble elements of the training data. De-duplication can substantially reduce the risk of this occurring. But the strongest copyright suit against a diffusion-based AI art generator would likely be one brought by the holder of the copyright in an image that subsequently was actually reproduced this way.

EFF's position seems to be (to which I personally agree, FWIW) that Stable Diffusion almost certainly does not run afoul of at least the vast majority of copyright holders of data it was trained from.

> The statistics generated about the works entered as input, do not resemble the original works. Nor can those statistics on their own reproduce the original work. At most they are brief mathematical summaries of the work.

Of course, this needs a lot of qualification. Compression and intelligence are generally considered to be related, and indeed, compression also works on statistical analysis (like entropy coding a la Huffman, or frequency analysis via Fourier transforms). Granted, compression algorithms are designed to reproduce their input verbatim--it's the entire point. But I think ML weights may exist somewhere "in the middle" so to speak; depending on the model architecture and how it's trained, it may be more or less literally like compression. Vastly overfit models are very much like compression, whereas large generalized models like Stable Diffusion are pretty far away and yes, generally can't reproduce inputs verbatim. (However: I suspect many LoRA models are quite overfit and may not be in the same boat.)

However, that's just for image generation. I feel like LLMs and text generation are an entirely different ballgame, and given that we can't actually inspect the model weights in the case of GPT4, the best we can really do to surmise what's going on is to see how badly it seems to overfit its training data.

I am unconvinced that this matter is settled as a whole, although I do think the EFF article presents a good overview of the case regarding Stable Diffusion and it does coincide pretty closely with what I actually believe. But this article is about large language models, which may legitimately be a completely different ball game.
Is it possible that quantum entanglement could play a role here? Is travel actually necessary for information transfer? Obviously I know little to nothing about such things.
Chrome is spyware to begin with; they know if you’re a bot out of the gate.

Captcha is redundant to the deeper spying Google does at this point.

Likewise captcha is useless against multimodal LLM available to anybody, many of which can be run locally.

I see this as a tacit admission captcha is a dead technology more than anything.
I think hosted is almost tautologically a mixed bag - you get access to the host (both +ves and -ves) but you also introduce a layer and some invariable friction.
> implying it wasn't defunct from the start
I used Firefox full time years ago (5+) and absolutely had to fill in more captchas. I remember thinking it all the time. I also remember seeing a lot of "Must be opened in chrome," sort of things google related.

Chrome has your google auth SSO built in so I think chrome skips that skip, whether it's malevolent or necessary I wouldn't know.
One liner:

wget --mirror --convert-links --adjust-extension --page-requisites --no-parent --execute robots=off --wait=0.2 --domains example.com https://example.com
Dupe:

https://news.ycombinator.com/item?id=39060793

https://news.ycombinator.com/item?id=39119807

https://news.ycombinator.com/item?id=39087776
> It's that they don't want other people to converge on a prediction in this way, and want to ban it, or keep the stakes so small that the market doesn't attract real expertise.

Do you have an example? I haven't seen this sentiment anywhere, including HN.

I haven't actually seen much resistance to the existence of prediction markets. HN leans heavily toward freedom and letting consenting adults do what they want with their money on the internet.

The majority of negative sentiment I see is against the obsession with prediction markets in certain circles (rationalist community, for example). Parts of the rationalist community speak about prediction markets as a solution for everything.
Sundar is doing to Google what Steve Ballmer did to MSFT.
I was hoping this might be the inverse... Something between dosemu and DOSbox that works on x86 and arm.
Yeah, I guess then you don't need a screen for display. And to be honest the proximity sensor may have had the greater effect in the situation I referenced. I could hear it beeping from where I was about 30 feet from the car.
What we need at bio-strips.

We dont need dedicated companies to build devices that report a monetized corporate stream on bio-data...

We just need bio-strips that harvest data of bodies and an AI that produces meaningful insights/results.

TIME (Watches) - is a discrimination lux commodity.

I want the bio=metric personal data and the ability to present any such on any skin of my choosing.

High end watch mfr is always going to be about materials and crasftmanship.

Gimme a past that gives me ties to all the pertinent metrics, watches are only for first-world types.
We don't invest -- we build! The idea is that we want to create lots of AI-powered applications, based on a common platform.
I have a couple of Brother Laser Printers at home, as well as several Brother Label Printers at work - Haven't had any issues to date. All work great under both Windows and Linux.

I've used both genuine and aftermarket Toner for the Lasers and the same for the Label printers without issue.

For label printers, avoid Dymo like the plague. They stopped Linux support and now include bidirectional RFID chips in their label spools to lock out after-market supplies. The remaining label count is decremented on the chip as you print.
[dupe]

News from over a week ago.

Some more discussion:

https://news.ycombinator.com/item?id=39060793

https://news.ycombinator.com/item?id=39119807

https://news.ycombinator.com/item?id=39105752
After a quick look, I'm not sure if I would call this “industrial strength”. In particular, the join optimizer (typically the heart of a large-scale SQL optimizer) looks very rudimentary? And the statistics it uses have zero idea about correlation, no histograms beyond min/max…
Reading this comment gave me a fever... I wish a plant could help me get better...
I'm not surprised that PredictIt performed so poorly. They take 10% of your profit, so you need a large margin of expected value to justify getting in and correcting a mispriced question.

To my knowledge, these markets are deliberately restricted. If you allowed unlimited betting, then experts would come in and eat these uninformed bettor's lunches. Except if you allowed that, then you face an ethical problem. You'd be providing a way for people to profit from influencing outcomes (e.g. questions that could resolve based on someone's death).
That might be misunderstanding the role of copyright as it applies to the worlds we live in.

Many here see copyright as a critical tool necessary for the existence of copy-left licenses, licenses that we use to make sure that what we write stays open in a way that others can benefit from.

We rely on copyright to ensure that our code stays “Free as in speech” not simply “Free as in beer”. Simply accepting no form of creator control is at odds with our desire to make sure that the things we produce stay open for others to use since there is nearly no incentive for the next person to keep our code open.
Categorical statements are generally easily disproven:

BMV is a PR company which won prdaily.com's 2023 award for "Best Use of Research/Surveys"[0] Their website[1] says:

> You also want to distribute and share the news on your announcement into popular communities for engineering talent, such as HackerNews.

Salient PR also targets HN[2]:

> Choose a team that can speak the same language as your audiences and create content that resonates. Look for demonstrated experience engaging developers across communities like GitHub, Stack Overflow, HackerNews, and relevant podcasts.

Vidico's "Optimized Video Marketing Campaigns" also target HN:[3]

> Q: Which publishers do you reach out to? A: Our publishers are higher tier tech publications that include Techcrunch, Hackernews and FastCompany. We write your press release, and include high-quality media media assets such as the video we’ve produced for you and still photo assets.

Bizibl Marketing's "Content Distribution Playbook"[4] says:

> And embrace communities. Platforms such as Inbound, Reddit, HackerNews and niche-specific communities allow you to put your message amongst your audience. But be aware that whilst these communities may applaud and amplify a relevant and compelling message, they are likely to pull apart one that is irrelevant, unfavourable or unwelcome.

Relevance also offers PR services targeting HN[5]:

> Take a careful look at whatever had worked in the past and leverage different platforms like Reddit, Slashdot, HackerNews, BuzzSumo, GrowthHackers, Twitter, and Zest.

0: https://www.prdaily.com/awards/content-marketing-awards/2023...

1: https://beantownmv.com/how-to-get-press-coverage-for-your-st...

2: https://salientpr.com/developer

3: https://vidico.com/video-marketing/

4: https://bizibl.com/marketing/download/content-distribution-p...

5: https://www.relevance.com/captivate-your-target-audience-by-...
We learn these rules in school, although the degree to which students care varies.

But, I was deprogrammed of my prejudice in University linguistics courses (highly recommend). What I learned is that speech is primary and it comes in many varieties (aka dialects) with different rules, and because textual communication has become the norm, we increasingly see these written.

It's a mistake to assume that a construction is ungrammatical just because it doesn't follow the rules of prestige English. Of course other varieties have subtly different rules. Many don't ever use "whom", for example, and it would be eyebrow-raising if you did. You can think of it as register or code switching, if it helps.

Similarly, orthography is just orthography, secondary to speech. It's a mistake to think that because someone wrote "should of," that they must not know the difference between "of" and "have". (In fact, that this orthographical error is virtually always made by a native speaker is some kind of signal.) Substandard for professional writing perhaps but that's all it is.

Schools, with few exceptions, try to get everyone speaking and writing in prestige English. We generally don't appreciate variety and fail to see the parallels with, say, snuffing out foreign languages.

I've since made the observation that it's curious that loving English almost always takes the form of being pedantic about prestige conventions and not instead enjoying the different flavors and their histories.
Reported, thanks!
> with the drug-dealer business model

Except there's another dealer selling at the old price and a third one giving even more away for free. hCaptcha is a pretty easy switch, and Turnstile has a reCAPTCHA compatibility mode.
And yet people still try to convince me that google's reputation is unwarranted and that relying on Google Cloud is perfectly fine since somehow it's "Different".

It never ceases to amaze me how often google shoots themselves in the foot and just ruins their reputation.

I cannot imagine relying on anything from google as a business. It just isn't worth the risk.
I don't think we'll want to patent anything, since that's something which keeps people out -- and we want to let people in! The only reason I could think of that we'd need a patent portfolio would be for defensive purposes.
Anatomy of a Signals Based Reactive Renderer
Good points but these are just surface level news that I was aware of. I am talking about internal business decisions.

Additionally the industry is big and global, both horizontally and vertically.

Much bigger than just Big Tech.

For e.g. AWS lay offs does not give a full picture of that sector as investment in data center real estate is hot in certain markets. However many are cautious about new big projects this year.
Does google reCAPTCHA have anything that other captcha solutions dont?

Or what will stop people from using cheaper/free alternatives?
That sounds terrible and should change ASAP
I thought they were going to talk about how when a prediction market gets too large, it can actually cause candidates to throw an election. Like assassination markets can affect the external world too
No. It is not "absolutely permitted in America".

They're Klan Acts, because a bunch of guys in masks and robes marching through is obviously a threat of violence.

https://en.wikipedia.org/wiki/Anti-mask_law
Currently we're working on low-resource fine-tuning research (i.e. train larger models on smaller cheaper GPUs), and looking into applications in the education and legal spaces. We're also starting to look at intersections between long-tail image recognition and language models.
To see more on "Project X", see the Phoronix article on it. At the very least, it would be resourceful if the Oxide devs had a chat with the Project X devs who have since given up - learnings can be had and time can be saved. And yes, coreboot itself is now untennable, but is also kind of a slang for the a category of deblobbed software.
It’s funny to me how often the “first one’s free (or cheap) “ playbook gets used on Amazon, AirBNB, Uber, Netflix, Google, Facebook (with FB API), Datadog , Splunk – and still continues to work.

Create a service and run it at a loss subsidized by investor funding. Customers & Partners naturally adopt it because it’s cheap in the short term and they lack long term thinking. Kill all competition.

Once the customers/partners are hooked, and the competition is gone, jack up the prices .

Even massive businesses & consultants with actuaries fall prey to this, including hotels, movie studios, fortune 500s.

Just remember there’s no free lunch. If something is free or cheap then they are getting you hooked.
As someone who actually care about those but not a US citizen, I welcome all of these! It's just funny seeing the free trade principles that's been repeated over the ages getting reversed like this. Now this is the end of colonization.
I actually don't believe this conclusion based off the fact that it would be slam-dunk evidence for the pathogenesis of Alzheimer's, which we don't have.
Joke's on him. Steve Blamer has an estimated net worth of 120 billion while Sundar is estimate "only" at 1.6 billion. He could afford to hire Sundar as his pool boy.

He probably also has car who's doors open like this, not like this.
For walking, no - it doesn't matter when I do it. Though I would avoid going for more than a light stroll within an hour of bedtime. For resistance training or cycling I'd try to avoid finishing within two hours of bedtime - those two make it harder for me to fall asleep.

I have found that a cool or cold shower before bed really helps. If I am warmed up from exercise (or just sitting in a warm room) I find it much harder to go to sleep. But not too cold for too long - that can be stimulating; not what I want!
so phones would be unresponsive on all public transport, boats, ferries, for all car passengers, and maybe even in places with shitty GPS?
Arc Search: Find Everything, Faster (iOS)
If you're looking for interesting derivative-adjacent ideas, I would also recommend Clarke derivatives [1]. They occasionally show up in ML papers, e.g., [2], [3]. Unrelated bu tangential, another place where you need derivatives but don't have access to them (standard or otherwise) is in the area of black-box optimization. Within this area, Bayesian Optimization (BayesOpt) has picked up quite a bit, which I've successfully used quite a bit in my work - I've an introduction here [4]. There is also a good book available online for free on the topic [5].

[1] https://en.wikipedia.org/wiki/Clarke_generalized_derivative

[2] https://proceedings.neurips.cc/paper/2021/file/70afbf2259b44...

[3] http://proceedings.mlr.press/v202/lee23p/lee23p.pdf

[4] https://blog.quipu-strands.com/bayesopt_1_key_ideas_GPs

[5] https://bayesoptbook.com/
It mentions brain proteins contaminating it, makes me think of prions.
Very keen to support open source work, both financially and through our own code.
I’ll offer the same bet but no transaction fee. But it pays out on Jan 1, 2028
> We know that this tidal wave of money is dumb money because we can see intense tribal behavior on these sites and research tells us that the more one identifies with a “team,” the worse one’s predictions for that team are. People will bet for candidates and parties not because they have an evidence-based analysis supporting their bet, but as an expression of identity.

This first sentence is completely unsupported. How do you know that the volume of comments tells you the amount of money bet?

Actually, sports betting does have a fan bias. I doubt many 49'er fans are going to bet on the Chiefs in the Super Bowl. It could well be that prediction markets give the wrong answer, but I'll still give them as much weight as FiveThirtyEight. Or more. FiveThirtyEight is hardly non-ideological, cold-eyed realism.

It's also true that smart money is not feasting on the dumb money, as a market really needs. The low volume and high costs of betting do make prediction markets less than perfect.
I'm too young to remember much about Ballmer, I just know his "developers developers developers" speech that was far more candid and meaningful than Pichai's speeches. And it was on point, provide stable tooling and APIs to Windows devs.
Agreed, but salaries are just a product of margins and skillset, not effort expended.

In a specialized industry like software or biopharmaceuticals, companies are expected to have very high margins (think $500k-1m in revenue per employee).

Given that the pipeline for these industries is constricted due to skill requirements, that's why salaries tend to be much higher.
And for an example of the practical limits of @overload, take a look at the Pandas type hints: https://github.com/pandas-dev/pandas/blob/dc5586baa9e4731805...

Meanwhile it's not even possible to express such things in other static type systems. So I'm not exactly an unhappy customer, but it does put certain things tantalizingly close, but still out of reach without a ton of clunky boilerplate and LoC explosion.
You can’t hate the player OR the game in this case because it works. It’s more like “fool me 100 times, shame on me”
I've been using Cody by Sourcegraph and liking it so far.

https://sourcegraph.com/cody
But with ChatGPT, all the answers will be wrong.
> I'm just not sure what the intermediate steps would be to get something usable like a vBulletin…

Once you have an archive, you can convert that unstructured data to structured data. For example, if I look at https://www.vbulletin.org/forum/showthread.php?t=326241, the thread title and hierarchy is in <table class="navheader">, posts are in <div id="posts">, etc. I see an old project (https://github.com/IanLondon/detectorist-scraper) that may be a useful place to start, and I imagine there have been other similar efforts.

Once you have a structured representation (in a database, in JSON/XML files, etc.), you can decide whether to use it to build a static site, to import it into other forum software, etc.
My Quest 2 and 3 were also both balanced with a battery in the back. Neither of them felt as great as the Pro. I feel that the main difference is the halo form factor instead of ski goggles hugging your face tight. Of course, this preference isn’t universal since some people hate the halo style.

I feel that like with meta headsets, Vision Pro’s comfort problem will be sold by 3rd party straps