skysight-inc/HackerNews huggingface dataset:
> So it is explicitly mentioned in the RFC as optional […]

The use of rand_a for extra monotonicity is optional. The monotonicity itself is not optional.

§5.7 states:

Alternatively, implementations MAY fill the 74 bits,
jointly, with a combination of the following subfields,
in this order from the most significant bits to the least,
to guarantee additional monotonicity within a millisecond:

Guaranteeing additional monotonicity means that there is already a 'base' level of monotonicity, and there are provisions for even more ("additional") levels of it. This 'base level' is why §6.2 states:

Monotonicity (each subsequent value being greater than the last) is
the backbone of time-based sortable UUIDs. Normally, time-based UUIDs
from this document will be monotonic due to an embedded timestamp;
however, implementations can guarantee additional monotonicity via
the concepts covered in this section.

"Backbone of time-based sortable UUIDs"; "additional monotonicity". Additional: adding to what's already there.

* https://datatracker.ietf.org/doc/html/rfc9562
I disagree that it’s down to the individuals. While individuals can throw themselves into the gears of the machine it is understandable why they do not.

I see things in terms of a sharecropping analogy, feudal lords (corrupted government) allow the scammers to harvest the crop (victims) for a share of the proceeds. We cannot fix people to the point they are un-scammable and there does not exist a democratic force strong enough to fix the government. Almost all ads I’ve ever seen are for obvious scams, especially on twitter. You’d think the richest guy in history (possibly?) could afford not to allow industrial exploitation of his users but apparently not.

You have gambling sites and binary auction scams that have a turnover that includes a significant percentage of suicides. I wish we had a democracy that could prevent this but we do not. While many of us here may be smart enough to avoid falling victim to these scams we have family members that we care about who are not so this still indirectly costs us wealth.
I mean laws are supposed to stop the bad actors but at this point the extreme cost of legal action and the street-crime fixation of police forces mean those laws don't constrain wealthy interests unless they harm other wealthy interests.

Protects and does not bind vs bind but does not protect. Same as always.
I'm not aware of any US states that have a graded A, B, C, D system with courses and qualifications -- instead, they just ban everything that might be in a European B or C classification. This is how the old federal AWB worked, as well -- it didn't say, you can purchase an AR-15 if you take certain classes, it said you just can't buy it at all.

The European system, broadly speaking, is not like that.

There are federal classes for dealers and manufacturers -- manufacturers of silencers, of automatic weapons, of missiles and rockets, &c, and dealers of these articles -- but that also is not like the European classification system I am talking about, which is for end users.

The NFA, which does apply special regulation to silencers, short-barreled rifles and some other items, which allows them to be owned by end users, and that is kind of similar but there is a real difference: you file for a tax stamp and wait for a background check to complete, without having to worry about taking a particular course and getting a certain grade.
From what I've gathered, honey basically replaced affiliate codes with their own and then gave the user part of the commission back? Is there something they did that users should be unhappy about?
Our definition of "no consequences" is very different, apparently. Have a good one.
I've logged in after 10 years to express my disagreement with this misguided and shallow post.

1. Taste is trainable, and far more malleable than the author believes. Good examples of this include "unclassifiable" films such as Parasite, which reached immense global success with both critical and popular audiences, and stood out precisely because it was so different, along with a remarkable depth in its craftsmanship (a given).

2. Overconfidence in hermeneutics. For one, little details are critical and are precisely the mark of superior craftsmanship (or shoddy work if they are neglected). You can see this in the dialogue around detecting AI-generated images. A cool example is the 4-second crowd scene in Miyazaki's The Wind Rises (2013), which took an entire year to animate.

3. A superficial and overreaching view of art. You can see this both in the way they discuss artistic value (external activity and metrics), and also their limited artistic vocabulary (the Louvre as a whole, Elvis, Abba). What about Edo period Japanese painting? What about Abbasid architecture? What about that simulated black hole in Intellerstar (to give a technological example)?

This kind of technological slop drives distrust with other industries (especially creative ones), rather than the productive and empowering dialogue we should be having. I hope we can do better on HN, and that for his own sake, the author gains some faith in art again.
My A7C II ($2000-class mirrorless) has a sensor with far more range than any monitor I've ever been able to afford.
The more inexpensive option of the newer Trezor wallets and "login PIN" as an optional alternative to a password that also works, seems to be the best option (that I have seen so far).

The more recently released Trezor wallets are still new, and Yubikey 5C will probably be used in many places anyway just because of the keyring and no need for the usb-c cable.
Tesla has sluggish start to the year with first annual sales decline in a decade
I have noticed I sometimes prompt in such a way that it outputs more or less what I already want to hear. I seek validation from LLMs. I wonder what could go wrong here.
> It should be enough to make companies answerable to shareholders

It very obviously isn't. The prime incentive for shareholders is profit (which is only natural), and this is in many, many cases demonstrably misaligned with what's best for society. Cases in point: health insurance, the military industrial complex, fossil fuel based companies, education, landlords, big tech.
according to CEO Satya Nadella
“The metaverse is not just transforming how we see the world. It’s changing how all of us actively participate in it”
Location: California (Orange County), USA

Remote: Yes

Willing to relocate: Not currently, but occasional trips are okay for me

Technologies: TypeScript, JavaScript, Node.js, React, Next.js, Vue.js, Nuxt.js, GraphQL, Nest.js, Python, Swift, AWS, Google Cloud Platform, Azure, Kubernetes, Docker, PostgreSQL, Redis, Microservices, LLMs (GPT-4, Claude), Agents

Résumé/CV: https://podelenko.pro/, https://www.linkedin.com/in/nikita39

Email: n.podelenko@gmail.com

Hey! I'm Nikita, a Founding Fullstack Engineer with 11+ years experience working in startups and high-growth companies.
I love building innovative products and tackling complex technical challenges. Some areas of personal interest right now are AI/LLM implementations, high-load systems, and cutting-edge fintech solutions.
Looking for an early-stage startup in US with a cool idea to join as engineer #1 or #2.
I have a job, but it's in a terrible department. I've been actively looking and posting internally. I've been looking externally too, but haven't posted externally.

I've been looking for over a year and there have been extremely few internal postings around my level/role. External postings in my area seem to be mostly garbage, both in the sense that they aren't actually hiring and also the ones who are have terrible culture or pay.

Over the past year, I've probably interviewed for 6 internal roles, most in the past 6 months. I've declined 2 of the postions due their team being even worse than my current one. I have one that I did well on and could result in a double promotion. I should find out about that soon, but I'm really not hopeful. I'm surprised they even took me as a candidate given I'm 2 grades below it.

It seems like it's picking up internally at least. Maybe that will translate to more external jobs next.
Well that's ominous.
I don't think you can copyright lists of publicly available information (iirc there was some case with phone numbers before).
That being said, they also stole code...
Surge AI (https://surgehq.ai/careers) | Software Engineers (full-stack / product https://surgeai.notion.site/Product-Engineer-4211688ff99b46d...) and Strategic Project Lead (https://surgeai.notion.site/Strategic-Projects-Lead-Generati...) | Full-time | SF, NYC, or Remote

Our mission at Surge is to build the human infrastructure behind the next wave of AI and LLMs. We operate a data platform that powers AI teams at OpenAI, Anthropic, Meta, Google, and more. This year, we're focused on extending our platform to support agentic workflows and help our clients ship agents that interact with the world. Here are some examples of our past work:

- Creating the GSM8K dataset: https://www.surgehq.ai/blog/how-we-built-it-openais-gsm8k-da...

- Collecting RLHF data for Anthropic's Claude: https://www.surgehq.ai/case-studies/anthropic-claude-surgeai...

You’d be joining a small, rapidly growing team of former engineering and ML leaders from Google, Meta, Twitter, and Airbnb. We work in small groups, ship quickly, and value autonomy and ownership. No previous AI experience is required, if you have the engineering skills you can learn what you need on the job.

We're looking for senior engineers to work out of our offices in SF or NYC, or remotely. Please reach out to us at careers@surgehq.ai with a resume and 2-3 sentences describing your interest. Excited to hear from you!
SEEKING WORK / New York City / Remote OK

PRISEN.CO

Startup Tech Consultant with 25+ YOE. Available for full time contracts (and occasionally part time). I provide velocity and guidance for early stage startups and greenfield projects, building out your vision using simple, straightforward technologies and clean, readable code. Can also help with interviewing founding engineers or technical cofounders, server administration, infrastructure like password and task management and early stage design and UX work. I can be your one man tech team while you build the business.

Founders in New York City, Chicago and Los Angeles preferred (in that order), but open to other remote opportunities.

Currently in NYC so if you are too we can get coffee and chat about your startup.
My rate changes in 2025 but get in touch before Jan 1st to lock in to the current rate for one year.

Email: tech@prisen.co

Website: https://prisen.co
Sorry but even keeping aside the poor presentation (as others have pointed out), the functionality itself is not clear at all.

I read the "What This AI Calendar Does" three times over and I'm still at a loss. Is this a test to recognize AI slop?
We're not talking about nanoseconds of real time; we're talking about nanoseconds as measured by the CPU doing the processing. Nanoseconds are not likely to be a uniform variate.
When was the last time you heard news about political opinions of the owner of Ford, BMW, or Honda?

Musk is an exception.
Hayek: Why the worst get on top

https://fee.org/resources/the-road-to-serfdom-chapter-10-why...
Very off-topic here, but no, money is not the key when trying to find a spot on this planet that nobody does have on their radar when it comes to fucking up the planet on short notice :)

Also: Different people, different coping strategies. I don't want to wait until the "Active Shooter!" cell broadcast message finds its way to my phone. :)

For some people, potentially especially those on the spectrum, having as much information as possible to work with might bring mental security and stability.

People are different, brains are diverse.
The age of tiny models is just about here. We are finally busting away from the standard transformer block and training. I have a side project that can dramatically shrink networks by a set of techniques I call sacrificial training[1]. I think things like this will finally swing things back to on prem and on device small models that are as capable as the big hosted models are now.

[1] https://github.com/jmward01/lmplay/wiki/Sacrificial-Training
Wow, I like this design. Somehow you picked just the right font size combination so that I can focus on the Latin (but still the English is accessible)

I can imagine a click interaction (click on a word/phrase, learn more about the grammar, etc). What kind of interactions would people like for reading texts like this?

(this is so useful for Chinese too!)
Location: Southern US

Remote: Yes

Willing to relocate: Not at the moment, unable

Technologies: Linux, Python (numpy and matplotlib), GoLang, C++, web development (HTML/CSS/JS, Tailwind, etc), SQL, databases like Supabase, AWS, deployment tools like Vercel/Netlify/Fly.io, Wordpress, Git, GitHub,

Résumé/CV: https://www.linkedin.com/in/bhersh (will email PDF by request)

Email: jobs@bhersh.com

Info: I just graduated college with a computer science degree in December and am eagerly looking for work! I have web development and software development experience and plan to continue growing these skills. I have a very strong work ethic and am a self-driven learner. I am a strong believer in open source software and using technology to help others.

Since I just graduated, I'm looking for somewhere to get my foot in the door as a good "first job". Any suggestions for finding work or building connections would also be greatly appreciated. I have been on HN for years but figured I should create a separate account for this.
// The population is basically fixed //

The whole purpose of markets is to try to satisfy our infinite wants with our finite means. That doesn't argue against a free market.

// everyone could be employed and there could still be be companies that want to hire at the market rate //

Still doesn't argue against it being a free market. There is no limit to how much we want to buy.
> your instinct to check LLM responses are correct.

No, they said the lesson learned is to ask it to cook up downsides. That's not checking, that's asking it to verify its own recommendation
> In your example, though, what you have done is try multiple models over multiple years, while the use-case hasn't changed one bit. So you have found an example where you could actually test multiple products yourself, and then decide which one you like better.

Isn't it a bit puzzling that inferior ladles proliferate, though? You don't need to work in catering or have any particular training to recognise superior ladles, but it's more difficult to buy a ladle of reasonable quality than an inferior one. Why is that? I can think of a few possible reasons:

1) Because a sufficiently large proportion of buyers are too inexperienced to know better? Maybe they'll choose the high-quality option next time. This could explain buyers' behaviour - often including mine - but I don't think it explains the behaviour of retailers or manufacturers with brands to protect.

2) Because people pay so much more attention to big purchases than small ones? You might use a ladle quite frequently, and even an inferior one might last longer than a smartphone, so it might warrant some thought even though it's inexpensive.

3) Because too many buyers are poor? If I correctly understand the comment you're replying to, the inferior ladles were actually actually less expensive, but cost could contribute to other cases of buyers choosing worse value products.

4) Because people are suggestible, and the decision about which to buy is partly made for them? Maybe the inferior ladles are more expensive because of the resources put into putting them in front of so many buyers.
Ask HN: What are you going to build and ship in 2025?
To everyone who set a goal to build & ship something in 2025, what is it?
> I'm sure they can be profitable.

Some aren’t and never will be without the deception and those companies just shouldn’t exist.
Language Learning with AI Tools
Throwing this out into the ether. I want to learn Italian this year. I feel like there should be a service I can pay for that leverages Google's Gemini models or something like that to help tutor me and work on my pronunciation.

Is anyone aware of any great products for this? Looking for an on-demand coach I can talk with while I'm walking every day.
davidw wasn't implying that it was a cause, just commenting.
Middle-aged and elders partying! Clutch my pearls.
Guess what, kids? When you grow up you can have as much fun as your health and funding support, so don't scrimp on retirement savings.
Location: Philadelphia, PA

Remote: OK

Willing to relocate: Maybe

Technologies: GNU/Linux, Python, C/C++, Erlang, OpenGL, Docker, git

Résumé/CV: https://github.com/rkblake/Resume/blob/master/randallblake_r...

Email: blakerandall0@gmail.com

Strong Python and C++ developer with intermediate experience with Lua, C#, Java, Javascript, and Rust. My previous job experience was with networking and parsing packets on switches in data centers using C. I also did some QA testing and am open to those jobs. I enjoy working on side projects like making games in Godot, or websites using Flask.
Title is misleading. The original team behind Honey has created a new company that is doing this and not Honey itself which is owned by Paypal.
You're collateral damage in the web's war against bots :(

Unfortunately, I think the Cloudflare challenges are designed to filter out users similar to your profile... once you stray far enough from the norm, it just looks like a bot / suspicious traffic to them. Statistically there's not enough users like you (privacy-conscious Linux users on nonstandard browsers) for them to really care enough to do anything about it. Site owners don't care either since you're usually like 1-2% of users at most, and typically also the same ones who block ads, etc., so they don't mind blocking you... it's sad, but I don't think there is really anything you can do about it except conform. It's an ongoing arms race and you're caught in the middle.
The Founding Sales book is a good resource. It's written by a startup founder who built startup sales teams from zero to hundreds of ppl. It explains how sales is different at each stage of a company. It teaches what is important at each stage.

https://www.foundingsales.com
I wonder if there could be anti-trust aspects to cracking down on such ads.
Well, Drilling like Hydro has very large ecological impacts at scale.

Really should just be building a lot more nuclear plants to drive energy costs to 0 but that's too much government overreach or something ...
>They won on MP3 players.

Sure I guess if you're still living in 2010. Nobody uses an "mp3 player" anymore. Get with the times grampa. Everyone has a cellphone that plays MP3s today.

> They won on music stores.

Spotify is at 36% market share compared to Apple's 30% of the music streaming market.

>They won on mobile.

And Apple did not "win on mobile" - only in the US are they popular, but globally Android has 72% market share. Apple lost the mobile market to Android a long time ago.

>They won on laptops.

No, Apple did not "win on laptops", they are still at about 9% market share.

https://en.wikipedia.org/wiki/Market_share_of_personal_compu...

"As of the third quarter of 2020, HP was cited as the leading vendor for notebook computers closely followed by Lenovo, both with a share of 23.6% each. They were followed by Dell (13.7%), Apple (9.7%) and Acer (7.9%)."

Nothing has really changed since 2020. Apple will always be a tiny portion of the personal computer and laptop market.

>They won on headphones.

huh? There are far better headphones than anything Apple makes. Are you talking about earbuds? There's a difference.

No, Apple has not "won" on anything but having overpriced hardware. $3600 for a VR headset? Yeah, I guess they "won" most ridiculously overpriced hardware ever.
Because a 2x bump isn't perceived to be enough to justify all the drawbacks and hoops : extra cost of living (healthcare, travel), being treated as a second class citizen, and of course the H1B lottery.
Free speech is a myth as long you can get fired for what you speak.

And that was always the case, so in reality free speech only exists for the rich
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Remote: Yes
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Technologies: Java, C, C++, SQL, Python, Kubernetes, Linux, perf, PostgreSQL, OCaml
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Email: brendan@macdonell.net

Staff engineer with over a decade of experience leading products to successful delivery and beyond. Recently focused on high-performance streaming analytics at Sight Machine (I led the design and implementation of their stream processing product, and before that, their data acquisition product), I can also work as a generalist backend developer or team lead.

Shoot me an email if you want to chat.

No management positions, please!
I needed to hear something like this.
I'm 61, got laid off last April and haven't had an interview since June. I have a long history in PHP and Perl, half a decade on Golang, Vue, React and devops.
I was beginning to think that ageism was playing against me.
Now I know I need to dig deeper.. thanks.
I found sokuza-kanren [0] to be a wonderful introduction. It starts with the absolute basics and builds into a minimal logic system through a series of well-documented steps.

[0] https://github.com/miniKanren/sokuza-kanren
I've been contracting and taking care of legacy software this year. My initial parallel steps are to ask questions, read the code, write tests and literally any kind of documentation, all while trying to implement features. You can spend months trying to understand some software, and never really get anywhere because there's no requirements/documentation, your manager doesn't know, and no one who wrote that code works there any longer, or they're just too busy. It's a hot mess.

(I'm not even a Test Driven Design evangelist. There's just no other way to "prove" that things kind of, almost, sort of, work in a possible environment.)
I am sure there is bias but 1 nanosecond is an incredibly narrow window. It really would be an interesting experiment to evaluate the optimal balance of bits for timestamp and for random value.
What about hostname and even process ID? Snowflake IDs are 63 bits long with 41 bits as a millisecond timestamp, 10 bits as a machine ID, and 12 bits as a sequential counter.
Unit tests often double as documentation. They show the expected behavior of a function.

And if you take the time to write a series of high level cases, they can show the full expected behavior of a process. E.g: "Don't accept another request on the same object while we have another request on that object in the queue."

A unit test is great, but I've seen people delete unit tests rather than try to understand what's going on.
> Are you implying that TikTok had >50% of likes coming from bots and didn't know it?

I wonder if you are able to map any part of this to any part of the comment you are replying to.
Exactly.

Cracking Denuvo as a hobby is not something a sane person would do, and the downsides if caught are higher when one is fully employed.

At least to me, a decade has passed since I left college and had spare time and energy to tackle such projects just for cred.
Given that we have open weights on it, the costs to run it relative to other open source models are fairly transparent.
Awesome for everyone except the creators of all that data. For years Google slowly encroached on their viewership (ads, amp, summaries, etc) and now they are being replaced by something that gives the creators absolutely nothing. Not even attribution. Not only are they giving nothing, they are actively fighting in the legal system to ensure their data thievery is deemed legal.
Right, or: maybe. Depends on where you are (or maybe better: where they are), and whether data collections fall under copyright or some other protection that is translateable enough for the gpl to apply. But if they really also used code that point is moot.