skysight-inc/HackerNews huggingface dataset:
I'm not very anti-LLM/AI, but this is one of the scarier parts, to me at least.

Data that is obscure, not easily fact-checked, and (outside of a
handful of people) there's no motivation to fact check it.

Incorrect data will sit there, mostly viewed by other bots,
incorporated into the next model. The issue is just going to snowball.

Good luck to any future historians that want to look back at
this time period.
This sounds like hand waving to me.

Can an AI pull itself up by yanking on its own bootstraps?
Germans and British were on friendly terms even right before war. When the Germans completed a test flight of a new aircraft (forget which), British engineers sent a "congrats!" message to them to which the Germans were appreciative.
Those lunches could add up to something significant over time. If you're paying $10 per lunch for 10 years, that's $36,500 which is pretty comparable to the cost of a car.
It's not even funny:

$ ll /nix/store/*-insect-5.9.0/lib/node_modules/insect/node_modules/clipboardy/fallbacks/*
/nix/store/…-insect-5.9.0/lib/node_modules/insect/node_modules/clipboardy/fallbacks/linux:
.r-xr-xr-x 129k root 1 Jan 1970 xsel

/nix/store/…-insect-5.9.0/lib/node_modules/insect/node_modules/clipboardy/fallbacks/windows:
.r-xr-xr-x 444k root 1 Jan 1970 clipboard_i686.exe
.r-xr-xr-x 331k root 1 Jan 1970 clipboard_x86_64.exe

(clipboardy ships executables and none of them can be run on NixOS btw)
turns out, i actually meant benefit corporation. (i've heard people refer to them as b-corporations, but didn't realize there was another thing called b-corporation)
Google has hell of a moat because they are continuously crawling and indexing the Web for the last 27 years. They have tons of data and information that can be used for training of their AI.
Take 2 minutes to realize how having highschools solves none of the problems you describe.
Humans and LLMs are different things.

LLMs can not reason - many people seen to believe that they can.
What a dude. Truly a unique personality (not just because of lack of cellphone, but in general). Mad respect.
I don't think that's actually a problem, but it would require continuing to host both versions (at distinct URLs) for any users who may have installed the package before the Zopfli-compressed version completed. Although I think you could also get around this by tracking whether the newly-released package was ever served by the API. If not, which is probably the common case, the old gzip-compressed version could be deleted.
Anecdata, for sure, but my experience working at several big companies in tech is that they won’t significantly bump your pay (and especially not your stock grant!) when they promote you. If anything, they will move you to the minimum of the salary band for the new level.

In my experience, you’re better off getting the promo and looking for the next job at your leisure. It sucks that that is what the system rewards, but I certainly don’t fault people for playing the game that is given.
> And the theoretically ultimate market analysis guru probably thinks "Everyone is wrong about Gen AI and NVIDIA being intimately linked, but that will make them sell regarding this news, so I must also sell and buy back at bottom"

That's most likely exactly what's going on.

Markets aren't about intrinsic values, they're about predicting what everyone else is going to do. Couple that with the fact that credit is shackled to confidence, and so much of market valuations are based on available credit. One stiff breeze is all it takes to shake confidence, collapse credit, and spark a run on the market.
No, youre mistaken. The model weights are not in any way censored. However, the web frontend has legal restrictions. When you're seeing posts about deepseek censorship, it's about the frontend and not the weights. As such, abliteration is irrelevant here
Which brings the question, if LLMs are an asset of such strategic value, why did China allow the DeepSeek to be released?

I see two possibilities here, either that the CCP is not that all-reaching as we think, or that the value of the technology isn't critical, and that the release was further cleared with the CCP and maybe even timed to come right after Trump's announcement of American AI supremacy.
Once I read May 4th and 2 emails, I knew it was Shopify. I was also affected.

My view of why it happened is a bit different than the author, but my conclusion is wildly different. I've been on tech for almost 20 years, 11 of them in the US.

On average, I do see people that work hard and on important things getting recognized and promoted. I don't have this bleak view that nobody should do anything, it's all random, nothing matters.

I do agree at the end of the day we're just numbers on a spreadsheet for large companies. Most of the time it's not personal, and Shopify probably decided having engineers in Germany wasn't worth, no matter how good they were (and I personally knew a handful that were really, really good, live there, and lost their job).

Those things aren't contradictory. You can work hard and be promoted and get more recognition, and you still can be cut due to decisions completely out of your control. The opposite is also true. Average people get lucky to be on the right project at the right time, sometimes multiple projects in a row. Peter principle and all.

But on average, companies to reward the people that bring value to the company (and its owners)
> Sure, you want "number go up" on average, but staying at a company for two years means something completely different to a restless jobhopper compared to a stability-minded employee with a family. Likert scales are perfect for this because they let respondents be their own judge of how well this job is retaining them.

But the organisations designing their equity comp structure don't really care about "how well people feel the job is retaining them", even if that could be measured on a valid and reliable subjective scale. Organisations will be optimising for employee churn rate, which is the direct inverse of... you guessed it! Expected length of employment.

If the scale accidentally prioritises stability-minded people over job-hoppers, then (all else equal) that's kind of fine because that is also a way to reduce churn. Now, practically speaking all else will not be equal and that's why we ask more than one question on a questionnaire like this!
> Predicates are trivially called, even as variables, with the `call/N` metapredicate.

Yes, that is the definition of "predicates are not first class values". Some things can be called without call/N. Other things can not be called without call/N. These are two separate classes of things. Both of these classes cannot be the first class.
I'm guessing the sentiment is not about training, but about the R&D capability of China. If Chinese can figure out how to build a good enough model faster and cheaper, they may be able to come up with an ASML competitor as well.
You'll also see the benefit when `rm -rf`ing a `node_modules` and re-installing, as pnpm still has a local copy that it can re-link after validating its integrity.
> “Sorry, we spent $200k on consultants and conferences that accomplished nothing, so now we have to cut an employee making $40k” really erodes morale in ways that merely firing people doesn’t.

One time I was tasked with auditing what my team spent, at a tech startup. During my audit, I found that we'd spent a million dollars to make a single phone call.

Basically:

* We were spending money like it was going out of style

* We were getting the highest level of support contracts on EVERY piece of hardware and software that we bought. This mean that we would routinely purchase hardware, stick it in the corner of our data center, and it would have an expensive support contract, before it had even been installed in a rack and plugged in. In some cases, we bought stuff that never got installed.

* The software support contract from one of our vendors was a million dollars a year. The software was quite reliable. In a single year, we'd made a single support call.
Related:

Major Florida grower [Alico Inc.] to end citrus operations after years of hurricanes and tree disease - https://apnews.com/article/florida-citrus-alico-hurricanes-g... - January 7, 2025
So how do we enable the feature?
> you can fire employees in Germany exactly the same way you can fire employees in the US. You just need to follow the damn law.

That is overly simplified. First, you have to commit to one of three types of layoffs, only one of which usually is applicable (betriebsbedingte Kündigung). But if you do that you have to consider the social circumstances of the employee and also other comparable employees. Which absolutely can result in not being able to fire the employee you would like to fire without also firing a number of other employees first. That could be really disruptive, so it is not quite so easy for German employers.
Ask HN: Good Pocket Alternative
A long time ago, Pocket (the web reader app) had the best recommendations. The pages I got recommended were exactly the kind of articles I used to read. Now, almost all the articles that are recommended are ads.

I'd say their original recommendation system was the best ever, and nothing like it existed. Is there anything like this these days? if not, I'm thinking of making a decentralized alternative.
To be fair, you have to compare credit portfolios by product and customer size. That is how the Central Bank reports and tracks these numbers.

Nubank offers consumer credit (credit card, personal loans), but you're comparing portfolios that include mortgages, large companies, industry, agriculture, etc.

Similarly, the default rate of the entire portfolio varies according to the product mix, so you can't compare that way.
Companies in the mobile era took a decade or more to become profitable. For example, Uber and Airbnb.

Why do you expect OpenAI to become profitable after 3 years of chatgpt?
Sinking truths: University confirms Miami's coastal subsidence challenges
Pix4d catch
It seems to me that just maybe by not lobotomizing the training in an attempt to keep it pg, they’ve unlocked a lot of performance.

This probably isnt the only thing of course but it is a major difference between deepseek and other models
Isn’t it that the current market price of NVDA was based on the amount of chips they need to sell? Because to train and run models you need so many GPU’s. Now that deepseek is showing you need less GPU’s to train and run it, the value of NVDA lowers since they won’t sell as much.
Increasing amounts of data is also becoming hidden behind walled gardens like LinkedIn, Instagram and Slack/group chats.
I'm not going to argue semantics about the difference between 'nothing' and 'no practical effect'.

Very rarely does one law change in isolation have a significant impact the entire economy. That doesn't mean that you shouldn't do it, and it doesn't mean it has no effect.
Why do so many people take illustrative examples literally?

I'm sure you can use your imagination to substitute "lunch" and "car" with other examples where the absolute change makes a difference despite the percent change being the same.

Even taking it literally... The 5% might not tip the scale of whether or not I can purchase the car, but I'll spend a few hours of my time comparing prices at different dealers to save $2500. Most people would consider it dumb if you didn't shop around when making a large purchase.

On the other hand, I'm not going to spend a few hours of my time at lunch so that I can save an extra $1 on a meal.
actually i was not fimilar with the hn post so i wrote in the comments. please refer the 1st comment of the thread.
Sampling points on a disc is a special problem that turns up a lot in practice. One obvious thing to do is just sample points on the square and throw out the ones that aren't in the disc but numericists don't like the throwing away bit because of performance. That Numerical Recipes book [1] has a section on it (has one on disc sampling and those sexy quasirandom numbers), the #1 answer on this StackOverflow page describes an algorithm that I remember from it.

https://stats.stackexchange.com/questions/481543/generating-...

[1] I took a class on numerics taught by one of the authors; great book but it's a shame about the software license
Not sure why you got downvoted for this. My current role started very tech-heavy and morphed into almost completely documentation as my management found out I'm one of the only ones at the company who doesn't suck at grammar and photography. Now my day-to-day really wouldn't be useful for getting another job with a similar title (and pay) to my current one, and I need to devote extra time outside of work to keeping up with actual tech skills that I used to be able to develop on-the-job.
Interesting (and worrying) to watch the figures: https://www.cdc.gov/bird-flu/situation-summary/index.html

There was a site with some good graphs and tables on, that I can't spot now.
This sounds like a good idea a software engineer came up with, while his QA and DevOps colleagues are both amused in horrified.

Your script is probably going to work 85 to 90% of the time, optimistically, 5% of the time it will do nothing, and another 5% of the time it will cause mass outages, and a massive loss of profits.

It's better to over allocate resources, let's say you run an e-commerce platform that makes about 30 million a year. Right now you're spending $10,000 per servers per month, and in a typical month you really only need to spend $7,000. But a new product just went viral and it's totally selling out. Does it feel like a good idea to lose millions of dollars to try to save a few thousand bucks ?
What site are you referring to? AFAIK there isn't anywhere that hosts Janus Pro 7B yet.
> I never understood this reaction the market is having. It's like reading the tea leaves - effectively random and not helpful.

You're exactly right.

People in the US treat the market like the Oracle of Delphi. It's really just a bunch of people who don't have a grasp on things like AI or the tech industry at large placing wagers on who's gonna make the most money in those fields.

And you can apply that to most fields that publicly-traded companies operate in.
IMO reaction to short term semi cycle - a lot of reshored/redundant fab expansions last few years outside of TW. If compute costs goes down 10-50x there may not be enough use case to fill Jevon in next infra hardware cycle of ~5 years. People are doing more with same, but maybe use case not sufficiently more to go fill/justify acquiring more hardware in near term time frame.
It's pretty easy to cut $2T from the federal budget
One criticism and one suggestion.

As for "include the photographer": unfortunately the photographer (aka me) is usually the only one who reads these articles. Whenever I ask someone else to take pictures of me they ask me to strike an artificial pose and then take a full-body shot. Hopefully one day my nephews will say "we don't know what uncle probably_wrong really looked like, but his pictures were great".

As for the suggestion: I stick to the rule "do not make albums with more than 36 pictures" which is the number of photos a roll of film used to deliver reliably. If you take 300 pictures and stick to the top 1% you'll quickly learn which pictures are worth keeping. Your friends and family will be silently grateful.
Langfuse v3 Infrastructure Evolution
Not really, if demand for high end high margin chips goes down considerably than margins and demand will go down across the board.
Shopify's Weird API Deprecation Strategy
Why does it matter here?
> Theoretically, anything that lets someone do more with the same number of their chips should be bullish.

If NVidia make money per compute capacity, and a new method requires less capacity, then all other things being equal NVidia will make less money.

Now, you might say "demand will make more use of the available resources", but that really depends, and certainly there is a limit to demand for anything.
Thanks. Prevention is always better than a cure!
How quickly the narrative went from 'Google silently has the most advanced AI but they are afraid to release it' to 'Google is silently catching up' all using the same 'core Google competencies' to infer Google's position of strength. Wonder what the next lower level of Google silently leveraging their strength will be?
I also use

yazi

along with kitty. Unfortunately I did not find an (acceptable) way to simulate the behaviour of

ddterm

GNOME extension with kitty or alacritty. A dropdown Terminal with image protocol for file preview would be very cool.
Mine was before my career started in earnest as I took a job during one of the summer breaks in college, worked 10-11h a day with a commute of 3h in total on top of that without even having a contract on paper only for my employer to first suggest I work for minimum wage and then not pay me at all after the first month.

Naturally, I walked, but to this day I can't believe how naive/stupid I was back then.
To handle 25k qps with Rails, assuming 500ms per request, you need 12k Ruby processes. That probably means you run on 200 boxes with 64 CPUs each. Maybe you get a little bit of oversubscribing of processes to CPUs due to I/O. Conservatively it's still 100 boxes.

To handle 25k qps with Rust, you can run 10 boxes. Maybe less.

Deployments are complicated (even when we wrap them in simple abstractions). A "rare" delay that impacts 1% of boxes during a deploy will become common on 100 boxes but still somewhat rare on only 10.

Running a single rust process per box allows a connection pooler to be in-process. It's more efficient, it supports postgres prepared statements, it's one less operational headache, etc.
> Feelings of entitlement are wrong here.

How dare people have feelings right? A lot of contractors (like myself) are treated like employees who are easier to fire.

I understand the separation from a legal perspective, but at the same time I've developed relationships with the people I work with and enjoy working with them. Being entirely honest? It hurts being excluded from things and not everyone has the option to just "become an employee".
Not specifically address space layout randomization in the way it's usually implemented; ASLR as applied in most modern production OSes randomizes each stack's base address, but each stack is still laid out and used in a normal way. There are some research projects towards actual stack layout randomization (involving stack rearrangement via static analysis, randomly sized stack padding frames, and other techniques) which would also definitely blow up cache, but none that are mainstream in a production system as far as I know.

However, for the naive case where the recursion is a full-blown function call, without some kind of optimization, other security mitigations than ASLR will significantly affect the efficiency of recursion by adding function call overhead (and possible cache side effects) - for example, the stack cookie will still be verified and control-flow guard checks and the shadow/return stack will still be in play, if present.
Maybe I shouldn't have written holocaust but "systematic mass-murder of all Jews". I assumed the intended meaning would be clear, but in retrospect I can see how it might offend. And I am open to arguments that this predates the "Final Solution" by up to six months, putting us closer to two years into the war.

But before that while there were events where thousands or tens of thousands were killed, the general policy was to intern people in camps. And while that is horrible enough to our modern morals (precisely because of the Nazi precedent) it was less abhorrent to people of that time. Otherwise the US would have hardly put Japanese-Americans in camps
This is why Satya was posting about Jevan's Paradox at 10pm last night. (https://x.com/satyanadella/status/1883753899255046301)

Decreasing resource cost of intelligence should increase consumption of intelligence. That would be the bull case for Nvidia.

If you believe there's a hard limit on how much intelligence society wishes to consume, that's a bear case.
Layoff culture will create companies full of Dyatlovs from Chernobyl, covering their ass, not that brave, not that innovative. Focused on maybe a promotion or surviving the next round of firings. It's sad to see the tech industry self-sabotage this way.
>There are a few reasons for this, but the most concrete is that your behavior in this job has an impact on getting the next one.

No it doesn't.
I think everyone was just a bit overpriced because of the AI hype and it's just letting out some air.
It sounds like the OP's ones have a button that switches between transparent, semi-transparent mode, and opaque.

I know a pair I've seen in the past was mostly transparent, but then it had an extra piece you could snap on that was just solid black plastic, kind of like a camera lens cover, and it would block out everything but the screens.
What is Google's first mover moat? I switched to Bing/DuckDuckGo with absolutely no friction or moat jumping.

Brands are incredibly powerful when talking about consumer goods.
OpenAI has a lot more revenue than Claude.

Late in 2024, OpenAI had $3.7b in revenue. Meanwhile, Claude’s mobile app hit $1 million in revenue around the same time.
How about spending $50 billion in capex to do $100 billion worth of inference?

Everyone is hung up on the cost of training R1 but it’s 685 billion parameters. We still need all of those GPUs to actually use the model.
An excerpt from the linked comment's own TL;DR summary:

> X11 has no cursor vsync and tears. Wayland compositors use atomic cursor updates synchronized with vsync.
"sacrificing an evening to a company that doesn't care...is worth it now and then" That same company will fire you and escort you out but expect you to give 2 weeks notice.
> we’re very deep down slippery slope hypotheticals by this point

Not really. We're talking about how the U.S. government treats local deposits at American banks. That's not really relevant to the dollar's international role.
Ah nice to know in case I need this. Thanks for taking the time.
General Knowledge Poker (2023)
Tiananmen Square is simply an easy litmus test for Chinese technology and communications. Not that I am terribly invested in China admitting to their atrocities (and the US has them too, this is not really about the Chinese IMO), but it raises the same concern for the provenance of any AI product and how trusting we should be of the answers it creates.

Any AI product that rises to popularity has the ability to enormously sway public opinion and subtly alter the perception of facts. These biases or intentional propaganda was something that was an assumed fault of human authors but it something that people don't automatically assume is part of technology solutions. If there were similar easy tests against OpenAI or Anthropic for US propaganda or Mistral and French propaganda I would love to see them raised every time too.
TBM 333: Lean Graph Theory
Why your pull request might not be merged
The wehrmacht happily collaborated with SS units or engaged in actions such as https://en.m.wikipedia.org/wiki/Zambr%C3%B3w_massacre or https://en.m.wikipedia.org/wiki/Ciepiel%C3%B3w_massacre
If it's just a drawing of a mouse, then anyone can create the same value by just drawing a different mouse. Of course, you can't because of the millions of dollars that have been pumped into that particular mouse. That investment is what the copyright laws are protecting.

I would say that if something doesn't get published when there is a guaranteed, government-backed monopoly in place, then it's even less likely to get published when there isn't.

I don't think it's common for stuff to go unpublished when no one can find the copyright holder. In that case, just publish it and wait to see who complains.
I've not done it, but have you considered using `pnpm` and volume-mounting a shared persistent `pnpm-store` into the containers? It seems like you'd get near-instant npm installs that way.