skysight-inc/HackerNews huggingface dataset:
In that it doesn't melt your skin off or melt through protective gear, isn't neon green, isn't stored in silly glass beads, and usually isn't stored in active form at all but rather binary agents that are combined as late as possible. It's nasty stuff no doubt but the movie version that OP recreated is a made up weapon that just happens to use the same name, and they probably recreated it because it's an intentionally cool looking prop, not because they think actual chemical weapons are cool.
I fail to understand the problem.

Assuming some nominal or zero starting fee. The author can choose to sell his rights at the beginning, or can choose to keep the rights.

If x years later, the renewal comes up and isn't worth it, then he doesn't have to pay it. the value to the author isn't worth the value to the public. If a mega corp comes along and buys it, they have taken on a risk that it will be worth more in the future, and the author has gained some extra income.

If the mega corp think its worth buying the rights, theres probably a good business case for the property, so the author should be able to get the money somehow. If not, the mega corp is giving the author a nice bonus.
The more complex a system is the more reuse of code there generally is. (i.e. multiple different functions making use of some shared function) That means if you randomly alter something, it's more likely to have multiple effects rather than a single effect.

BTW, most times in software parlance "silo'd" means "not interconnected" rather than "interconnected".
Basically, it boils down to a change of process. His theory is that the "special" taste of Kenyan coffee was due to the "secondary fermentation" step, which is actually a trick to free up drying space faster:

> In Kenya, this meant the introduction of the “double washed” or “double fermented” style of coffee many buyers are familiar with. Coffee would be fermented dry for 12-24 hours, washed, and then sent to a holding tank where it would be soaked in clean, cool water for up to an additional 24 hours or longer (the so-called “secondary fermentation”).

Since production has decreased, drying space is now more available, so the coffee now spends a much longer time there, and double fermentation (which is of course an additional step and requires additional effort, driving up costs) has all but disappeared, so the coffee now tastes different:

> I noted that some changes were made to the way the coffee was processed. Because drying space was no longer in short supply—except perhaps for a short while at peak harvest—the holding pens weren’t in use anymore. The coffee went on the beds and stayed there. And of course, because in Kenya’s export system a coffee must first pass through a dry mill before auction and export, this means that unlike other countries—where coffee can be stored in parchment to homogenize or stabilize prior to final sale, it’s removed from its protective layer months before shipping and stored in warehouses without climate control dotting Nairobi.

If it doesn’t stabilize during drying—like in a holding pen—it would be more susceptible to fade, a phenomenon I have observed in the samples I’d tasted and Kenyan coffees I’d hoped to enjoy from other roasters.

And then there was the fermentation: the factories I bought from no longer practiced Kenya’s signature “secondary fermentation” or soak—and they insisted that they weren’t the only ones who’d given up the practice. I looked around, and—they were right.

...and, last but not least, due to the "colonial" system, with only a few exporters raking in the profits and the individual producers not getting a fair share (and having no alternative but to sell to the oligopoly), they're not really incentivized to improve quality.
I could not tell by the comment whether the article was read or not. I try to give the benefit of the doubt. Your sarcasm is hilarious, but you are attacking an argument I never made (i.e., strawman).
As much as I dislike corporations I dislike a tyranny even more. A cooperation is not magic, they are just collections of people. Each person in a cooperation should be afforded the same rights as each person outside a cooperation. Are your personal phone records, emails, text messages stored /just in case/ you commit a crime?

Once you define a class as having less rights (for better or worse) you've created a breach.

The 4th and 5th Amendment:

4th: The right of the people to be secure in their persons, houses, papers, and effects, against unreasonable searches and seizures, shall not be violated, and no Warrants shall issue, but upon probable cause, supported by Oath or affirmation, and particularly describing the place to be searched, and the persons or things to be seized.

5th: No person shall be held to answer for a capital, or otherwise infamous crime, unless on a presentment or indictment of a Grand Jury, except in cases arising in the land or naval forces, or in the Militia, when in actual service in time of War or public danger; nor shall any person be subject for the same offence to be twice put in jeopardy of life or limb; nor shall be compelled in any criminal case to be a witness against himself, nor be deprived of life, liberty, or property, without due process of law; nor shall private property be taken for public use, without just compensation.
Companies absolutely run Windows servers. In fact, every single company I've ever worked for (except one very small company) has had them. Usually at a minimum, you will have servers running Active Directory, and perhaps DNS (because AD-integrated DNS zones are useful). Then, more often than not companies are MS Exchange shops, plus Sharepoint is common enough.

Generally people aren't running web servers on Windows, but the internal IT infrastructure world uses a ton of Windows servers.
> His algorithm attempts to resolve that tension, giving high ratings to engineers who write many lines of code only so long as that code is maintainable, solves complex problems, and is easy to implement.

If current tools are incapable of generating code beyond a certain level of complexity with consistent accuracy, then how are they capable of accurately judging human output? This reads like a puff piece citing some person’s unreviewed, “Microsoft management in a black box” algorithm.
Russia is reliable when it comes to software engineering. I've met a few guys from Intel Russia, bright folks. The politics, though...
That seems correct from some quick Wikipedia reading, but I don't understand what it has to do with anything?
Can confirm female tortiseshell cats are, yes- lunatic is the best way to describe their personality. My family had several and they were all a combination of smart and crazy, mostly the latter. As a teenager I found it amusing to teach one of them to ride on my shoulder like a pirate's parrot. An unintended consequence is that she would also do that to house guests, who weren't expecting it, making a five foot vertical leap from ground level from behind to perch on their shoulder.
If you translate it literally, "per" is closer to "for".

If you don't translate it literally, I'd vote for "in itself". "In itself" (viewed in its essential qualities; considered separately from other things[0]) has a different meaning than "by itself" (alone/unaided). And to me it's clear that "per se" pretty much universally means the former.

[0] https://www.google.com/search?q=in+itself
The Xenomorph term wasn't created by the fandom. It was first used in-universe in "Aliens".
I've been in higher than 10,000 cleanrooms and it's not the dust on the desks they care about.

There are entry protocols around what you can take in, how you swab it, and so on. Also, specific instructions around how often to go from sitting to standing, clothing materials under your smocks, and everything else.
What's wrong with that? It's mathematicaly undefined. SQL dialects typically return NULL for erroneous operations. Plus, it's not like it's returning 0 or some other numeric-typed value
Elephant in the Room: The Evolution of Online Social Network Research
I scrap tens of job boards with Selenium, JavaScript and Python, and generate random links to the companies' job offers to contact them directly.
For that to work, they need a software stack to compete with CUDA.

Nvidia is so far ahead that a single manufacturer won’t be able to compete for developers. Instead, the only chance the rest of the AI GPU market has is to build some portable open source thing and use it to gang up on Nvidia.

That means bigger GPU players (AMD, hyperscalers) will need to be involved.
First off, don't get too distracted by what software engineers are talking about on the internet. Despite the enormous overlap in what kinds of technologies you use at work, the jobs are not the same, and the details of what constitutes a job well done are often not the same, either.

In particular: data engineers' main task is to produce clean data. Few people care about the cleanliness of the code used to produce it. They care about whether or not the data makes sense, whether or not it's accurate, how well it's documented, and whether or not others can understand the ETL pipelines' dependencies and assumptions so that people can predict how changes to business processes and IT systems will affect their business intelligence and data science efforts.

Cleanliness of code is, at best, a secondary concern. Especially if you're mostly working solo. The code for managing data pipelines is often relatively small and tightly scoped, to the point where even a messy ETL implementation can still be easier to understand than very clean application source code. Or at least, that's been my experience as someone who's worked as both a software engineer and a data engineer.

The biggest thing is, again, just to make sure the documentation is good. In one data engineering role I found a bunch of things in the data engineering pipeline that I was pretty sure were junk that we could get rid of to simplify the whole thing. Doing so would have reduced the code for the pipeline in question by ~25%, with comparable reductions in run time and server load. But I couldn't be sure because the original author left no documentation to indicate why those bits were there, so we ultimately decided to leave it there for the sake of safety. The original author was a software engineer, not a data engineer, so the code in question was incredibly clean and readable. I had no trouble figuring out how it was doing what it was doing. But what I really needed to know was what it was doing and why.

I'd also encourage caution about adopting fancy tech stack. It's amazing what you can accomplish with just a SQL database (or Parquet files) and some Python scripts. Data engineering is a space with a lot lot lot of vendors and open source projects selling solutions to problems you might not even have. And every additional solution you bring on is another piece of technology to understand, which can quickly get overwhelming if you're on a small team. Especially be careful about committing to the open source versions of technologies like Apache Spark. I can tell you from experience that, if you can't name the specific person who will personally be responsible for supporting and operating the technology, that person will be you, you will end up spending a lot of time doing it, and it will probably not be a use of time that the person who does your performance reviews will consider valuable. Especially if "I had to spend a bunch of time diagnosing Spark executor failures" becomes the reason why you couldn't get other things done.
Yes, that's what web scraping services do (full disclaimer I work at scrapfly.io). Collecting fingerprints and patching the web browser against this fingerprinting is quite a bit of work so most people outsource this to web scraping APIs.
It works for me on Chrome 131.0.6778.81 on Android 14. Are you sure you copy/pasted right?
Yeah, not even DNA is fully in control. Michael Levin's planarian worms experiments show that he can use an electromagnetic field for a short time in a certain way, and create a two-headed worm (normally it's one of course) that will persist to all it's offspring even though there's been ZERO alterations to DNA. So there is still much about the emergent complexity that we do not know.
What is that supposed to mean?

According to their calculations, they're getting 1-2mmol/g adsorption. That means 44-88g of CO2 captured per kilogram of adsorbent.
If we're talking about people then we are talking about people. Slapping the word cooperation on a group of does not (should not) change their inherent rights against improper search and seizure.
Almost certainly a shit memecoin project. The Enron trademark was until recently owned by The College Company, [https://tsdr.uspto.gov/#caseNumber=88914633&caseType=SERIAL_...], a t-shirt and knick-knacks vendor that previously capitalized on the Birds Aren't Real meme (news coverage: https://archive.is/vZvup). It looks like the trademark was handed off to a new entity this year, whose address aligns to 'Ground Control Business Management', which appears to be a firm specializing in financial planning and 'family office' type investment management for wealthy individuals.

Further, Enron.com is currently hosted on Shopify (IP resolves to Shopify; page is stuffed with Shopify web assets if you inspect the source). This makes no sense for a proper corporate web presence outside the retail industry. The College Company's other pages are also built on the Shopify platform.
They were just rebranded micron ssd’s the last time I checked.
Should be [unpronouceable-mix-of-vowels-and-cosonants], which in their language means "actual people" or "true people". That seems to be the name of most of the ethnic and cultural groups on our planet. There are people (i.e. us) and there are "those funny looking weirdos over there" (i.e. them). No reason it would be different for space-faring slimy mutant thingies.
Ask HN: Who wants to be hired? (December 2024)
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Searchers: try http://nchelluri.github.io/hnjobs/, https://hnresumetojobs.com,
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Don't miss these other fine threads:

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My views and opinions are, in fact, those of my employer.
Of a market that is dying between two growing at the edges. Mobile and server clear trump personal compute. This the markets devaluing intel.
Location: David, Panama. EST (UTC-5)
Remote: YES (only)
Willing to relocate: NO
Technologies: Javascript/Typescript, NextJS, React, Astro, Docker, PHP, Prisma, Postgres, SQL

Portfolio: https://tribal2.dev
Résumé/CV: https://tribal2.dev/cv
Email: psgwsmegh@mozmail.com

Interest: Contract/part-time positions (up to 4 hours/day for the next 2-3 months, with potential for full-time thereafter).
Availability: Immediate
Rate: $35/hour

Hello! I'm Ricardo, a self taught Full-stack Engineer with 10y of professional experience, and strong emphasis in backend development. My expertise spans Javascript/Typescript, NextJS, Astro, React, PHP 8, Flutter, SQL, Postgres/Prisma, Docker, and more. Additionally, I hold an MBA and have prior experience in administration and financial analysis.

For over a decade, I worked at the same company, where I designed, developed, and deployed a suite of enterprise applications serving 700+ active daily users. These systems have operated seamlessly and unattended for the past year, showcasing my commitment to building robust and reliable software.

Most recently, I contributed to a Y Combinator startup (Central, YC S24), leading the development of several features such as external service integrations, TOTP-based MFA, and user-facing workflows.

I'm passionate about solving complex problems and creating efficient, scalable solutions, and I'm particularly drawn to projects that align with my ethical values, avoiding industries that harm the environment, compromise health, or raise ethical concerns. I aim to contribute positively to the world through my work.

Feel free to reach out!
This is awesome. I’ve wanted to play with array languages before but they tend to be kind of a pain in the neck to start with locally. I like the idea of hacking my way around in the new language while keeping a Python escape hatch close by in case I haven’t yet learned how to do a thing the new way.

Nice.
Location: Berlin

Remote: Yes

Willing to relocate: No

Technologies: Design Systems, UX/UI Design, Product Design, Web Design, Figma, Sketch, Balsamic, Adobe Creative Suite, Framer, HTML/CSS/JS, Tailwind, shad/cn, git.

Resume/CV: https://dce.read.cv/

Email: dcampagne@gmail.com

UX/UI Designer with 15+ Years of Experience

I’m a UX/UI designer with a background in visual design, branding, and front-end development. With a special focus on creating solutions and design systems for B2B professional software.

My skill set includes, crafting personas, mapping user flows, designing wireframes, and gathering feedback to refine prototypes into production-ready designs. I always adherence to accessibility standards and brand requirements to deliver cohesive user-centric digital experiences.

Please feel free to reach out if this resonates with you.
the lisp text representation is not lisp data. Nor is it code. It's just a textual representation of the homioiconic abstract code/data.

A different textual encoding does not affect the homoiconicity
Location: US

Remote: Flexible

Willing to relocate: Yes (within US)

Technologies: Mostly full-stack, plus some infra and data (see resume for specifics)

Resume: https://www.dropbox.com/scl/fi/67g14qq69btngvpjr1gwv/Resume-...

Email: 2024@janejeon.com

---

Experienced Generalist SWE | 5 YoE at top-tier HFT and Bloomberg | Product-driven engineering

I’m an experienced generalist software engineer, skilled across full-stack development, data, and infrastructure. I bring high-impact engineering to drive large-scale products from 0 to 1, directly supporting business needs, working across functions/tech stacks/business verticals.

For more on my approach to engineering and product alignment (plus recent work experiences), please see: https://janejeon.dev/effective-enterprise-software-developme...
Eigen | Full-Time | ai product engineers | REMOTE (all remote) | Hiring GMT-8 to GMT+2
Eigen helps companies build world-class AI products, enabled by the cutting edge of AI and LLMs.

* we are a real business — profitable with $XM in revenue this year. We're hiring for our line of ed-tech products that help kids learn how to write and read.

* we need: smart, in the details, ai product engineers. Experience with typescript stacks is ideal.

* engineers excited about using AI both in their workflow and in products

* we're a smart team. ex. stanford ai lab, harvard, uber, tinder, superhuman, etc.

* the comp is quite good. See our job descriptions for more detail.

Apply at http://eigen.net/careers
haha love to hear that :) we want to make that experience trivial
<< That's just speculations from people online. I don't see any wisdom in that like you do, all I see is just a guessing game from people who think they know an industry when they don't (armchair experts to put it politely).

True, it is just speculation. 'Any' seems to be a strong qualifier. One of the reasons I troll landscape of HN is that some of the thoughts and recommendations expressed here ended up being useful in my life. One still has to apply reason and common sense, but I would not dream of saying it has no ( any ) wisdom.

<< What made Nvidia dominant was not weak GPUs with a lot of RAM.

I assume you mean: 'not in isolation'. If so, that statement is true. AMD cards at the very least had parity with nvidia, so it clearly wasn't just a question of ram.

<< The puzzle of their success had way more pieces that made the whole package appealing over many years, and a great timing of the market also helped.

I will be honest. I am biased against nvidia so take the next paragraph for the hate speech that it is.

Nvidia got lucky. CUDA was a big bet that paid off first on crypto and now on ai. Now, we can argue how much of that bet was luck meets preparation, because the bet itself was admittedly a well educated guess.

To your point, without those two waves, nvidia would still likely be battling amd in incremental improvements so the great market timing accounts for majority of its success. I will go as far as to say that we would likely not see a rush to buy 'a100s' and 'AI accellerators' with exception of very niche applications.

<< Intel making underperforming GPUs with a lot of RAM would not guarantee the same outcome at a later time in the market with an already entrenched Nvidia and a completely different landscape.

Underperforming may be the key word here and it is a very broad brush. In what sense are they underperforming and which segment are they intended for? As for ram, it would be kinda silly in current environment to put a new card out with 8gb; I think we can agree on that at least.

<< I'm saying nobody can guarantee the claim of the GP I've replied to,

True, but it is true for just about every aspect of life so as statements go, so it is virtually meaningless as an argument. Best one can do is argue possibilities based on what we do know about the world and the models it tends to follow.
I find it bizarre that people often criticize LLMs’ capabilities by stating they don’t exhibit human-level performance because they sometimes fail, when occasionally failing is, in fact, a quintessentially human trait. Moreover, how do we reconcile the fact that LLMs perform far better than most humans on all the standardized tests they’ve passed?
https://medium.com/@fsndzomga/there-will-be-no-agi-d9be9af44...
Location: NYC

Remote: Yes

Willing to relocate: No

Technologies: Machine Learning, Python, LLMs

Résumé/CV: https://bgoncalves.com/wp-content/uploads/2024/10/resume_goncalves_d4s.pdf

Website: https://www.data4sci.com

GitHub: https://github.com/DataForScience/

Substack: http://data4sci.substack.com/

Email: bgoncalves@gmail.com

Hi, I'm Bruno, a Data Scientist with a background in Physics (PhD) and Computer Science (M.Sc.) and 15+ years of experience in Data Science and Machine Learning. I am an Expert Python programmer with a focus on Machine Learning applications since 2005 and I'm currently looking for the next big project where I can have an impact. I am interested in full-time and/or contract opportunities.
Show HN: I built an AI to help developers promote their products organically