skysight-inc/HackerNews huggingface dataset:
The biggest issue with this is when you deploy multiple applications to a server (e.g. 5 apps on IIS or whatever) and one of them kills off the box when it behaves badly. You can auto-scale, but it takes time to provision new machines and until they are up, you are down. Once you've experienced this a few times, the desire to split out applications into micro-services gets pretty strong in order to limit the blast radius.
Does it matter? These puff pieces exist solely to influence public opinion. That's true whether I have internal knowledge or not!

We live in an era where a lot of media types actively push pro-unionization ideas. It'd be helpful to present facts and details alongside union efforts! I personally assume that if details are withheld it's because they'd be damaging to their argument. YMMV.
> For each problem, our system sampled many candidate submissions and submitted 50 of them based on a test-time selection strategy. Submissions were selected based on performance on the IOI public test cases, model-generated test cases, and a learned scoring function. If we had instead submitted at random, we would have only scored 156 points on average, suggesting that this strategy was worth nearly 60 points under competition constraints.

Did you read the post? OpenAI clearly states that the results are cherry-picked. Just a random query will have far worse results. To get equal results you need to ask the same query dozens of time and then have enough expertise to pick the best one, which might be quite hard for a problem that you have little idea about.

Combine this with the fact that this blog post is a sales pitch with the very best test results out of probably many more benchmarks we will never see and it seems obvious that human experts are still several order of magnitudes ahead.
Elon wishes he could leave...
https://www.reddit.com/r/KamalaHarris/comments/1eunob4/elon_...
The labor involved is highly skilled, and has seen extensive underpayment. When Boeing tried to ship manufacturing away from union shops, the quality and reliability of the planes plummeted, driving up costs for the company.

As a frequent flier, I'd much rather be in a union plane than a "cheapest labor we could find" plane.
Hearing aids are neither food nor drugs. Same goes for glasses and contact lenses, and CPAP machines.

These should never have required approval or prescriptions in the first place. So many people are kept from getting what they need by these arbitrary restrictions.
CCP has been doing lots of things that people have, by and far, been silently nodding to and agreeing on. This particular instance is just saying the quiet part out loud.
This is largely historic. I had lengthy discussions about this with expat's maintainer.

expat, the xml library underlying python's etree and other xml interfaces, has either mitigated these standard xml vulnerabilities or disables the dangerous features by default.

The python docs are still a bit confusing there, but if you look at this table:
https://docs.python.org/3/library/xml.html#xml-vulnerabiliti...

While this table has a lot of "Vulnerable" in it, they all come with footnotes saying that up-to-date versions of expat are not vulnerable.

So... if you want to have more secure xml parsing in python, make sure you use an up-to-date expat library or one where security fixes have been backported. You don't need anything else.
It's kinda fun, right? The whole point of tying executive compensation to share price was to have them have some rough stake in the business, but even that didn't prove enough: there's always a longer term, and doing a visible, clear NPV boost is usually accretive to market cap even if it introduces long-term risk, because the long term risks are usually hidden from public eye and very mushy.

Ironically, I think the poster child for how to properly structure compensation away from this is Hank Greenberg's AIG, where not only was his compensation basically all deferred stock options, they were deferred until retirement, so about as long-term a view as you can get. He was very risk-averse, and his biggest flaw wasn't under his operational ownership but under successor and personnel selection (looking at you, Welch).

But at some level, it was just bad people making bad calls. I don't think McNerney thought that this would wreck Boeing, he was just wrong. Even if he was left predictably destitute at the end of such a failure, he probably wouldn't have changed his choices because he thought they were good. You could claim that this is a failure of boards and governance (and, truly, I think boards are by and large really bad and I wish there was a much more pervasive activist investor culture) but at some level I'm not sure how much of this is solvable.

I don't know. There's probably a way to do boards well enough that this isn't a problem.
This is true. But what if they change their mind?

IMHO, this shows the huge dependency of all of the world’s open source software on a single company. (Microsoft, who owns GitHub).

In this context, Radicle - as an alternative way of hosting the world’s OSS - makes a lot of sense to me.
I've seen it plenty. A request to process an Excel file or generate a PDF etc. Basically anything generating or processing documents is a likely candidate. It might only affect a single application, but if you are running multiple apps on a box, it is often enough to cause an outage.
Amazing that you decide it's the workers who deserve your contempt and not the executives and shareholders who stripped the copper from the walls.
I blocked the TED channel on YouTube a few years back as it was getting bad. They first diluted their "brand" or quality with TEDx, and it's been downhill since as they've been scraping the bottom of the barrel and tried to "scale" or "franchise". Happens everytime, growth at all costs. The only way to stop it is to have passionate leaders who care more about the goal than the money.

Unfortunately, usually by the time these leaders have established their company they are also on a downward life trajectory in terms of years left, so they switch to "extraction" mode.
I don't think you understand who made the max and why it failed.
Btrfs2s3 maintains a tree of incremental backups in an S3-compatible API
High CEO pay is a symptom of poor board control, not a direct cause of poor performce.
> There is no "formula" for success in the creator economy - the winners are largely random.

That observation has echoes of the music industry - another extremely top-heavy creator business. There are formulaic ways to make "good enough" and "catchy enough" songs, but the window for "X enough" keeps shifting. Cranking out grunge won't be sustainable in the age of K-pop.

But the massive runaway hits have been predominantly outliers for their age. They have veered far enough from the mainstream to be interesting in new ways, different enough, and surprising enough to break through.

But to predict in advance what kinds of outliers will win the lottery? Largely random, indeed.
Literally nobody wants the government telling them what kind of headphones they are allowed to wear. This is a failure of the rule of law.
I just love new software for old machines (especially multi-tasking systems).
This is only relevant if you have billions of objects in S3, when your failure rate can be amortized. Otherwise either Amazon is going to go bankrupt or you’ll be the one person who has total data loss by chance.
> Boeing spent $43B on stock buybacks between 2013 and 2019 while paying their CEO ~$30M/year.

Boeing share price was up almost 400% in that period. If the business goal was to maximise share price and therefore return for investors over that period it was a cracking success.

Since the US government will always pick up the pieces in the event of a failure its a minimal risk stratagy.
It's actually much worse than that and you're inadvertently down playing how bad it is.

It doesn't even know mildly obsecure facts that are on the internet.

For example last night I was trying to do something with C# generics and it confidently told me I could use pattern matching on the type in a switch statwmnt, and threw out some convincing looking code.

You can't, it's impossible. It wàa completely wrong. When I told that this, it told me I was right, and proceeded to give me code that was even more wrong.

This is an obscure, but well documented, part of the spec.

So it's not about facts that aren't on the internet, it's just bad at facts fullstop.

What it's good at is facts the internet agrees on. Unless the internet is wrong. Which is not always a good thing with the way the language it uses to speak is so confident.

If you want to fuck with AI models as a bunch of code questions on Reddit, GitHub and SO with example code saying 'can I do X'. The answer is no, but chatgpt/codepilot/etc. will start spewing out that nonsense as if it's fact.

As for non-proframming, we're about to see the birth of a new SEO movement of tricking AI models to believe your 'facts'.
The engine is fine, but existing projects all invested effort into moving off it if they could, and new projects won't touch it with a 50 foot pole.

Large orgs are, indeed, likely locking in terms, but Unity's whole market was basically people building things initially in tiny setups with it, with more convenient access than Unreal.

It's more or less the same mistake flavor that IBM made with killing CentOS - they killed their onramp of the 500000 tiny projects using it because it was trustworthy enough, and that also kills the existence of 50 projects that go onto to be massive successes built on it.
what's weird is it gets it right when I try it.

https://chatgpt.com/share/66e3601f-4bec-8009-ac0c-57bfa4f059...
Trap for young players: don’t read anything in western world on China. It’s mostly propaganda, misdirection, political games and the like. In other words, pure bullshit if you’re not in the in-crowd to pick up the jokes that TPTB are sending to each other by posting absurd things.
Can someone make this as a Cities: Skylines mod?
I see this repeated often - blame placed entirely on management and not the workers. Why do you believe that? Do you honestly believe that they have not contributed at least partially to the decline of Boeing? That union protectionism has not affected productivity? That hostile bargaining and strikes hadn’t hurt their finances? Accusing the company of prioritizing greed and blaming the boogeyman of management sounds like a caricature, and not an unbiased perspective.
Yes, you can chuck your SSD into a freezer. Data retention time increases exponentially in lower temperatures, so keeping it in a regular +4C fridge is enough to extend retention by decades.

Just remember to heat up the disk before writing and after storage.

https://www.ni.com/en/support/documentation/supplemental/18/...
Some RGB LEDs in the airpods that change color depending on the mode could also achieve this.
Hi there,
Lead Dev for OpenSpace here. We do have the ability to render galaxy (or any point cloud dataset really) in 3D space as well as stereoscopically. For an example see a video we made for Matt from SpaceTime a while back: https://youtu.be/E8rel2-kLJA?si=yqQZr7Nk9dyMDqZa&t=373 Thst video uses the Tully, and Sloan Digital Sky Surveys and then a catalogue of Quasars.

It would be fairly straightforward to add your random galaxy dataset as an asset as it would only require some light Lua coding and a CSV file with positions + any additional variables
So, if I understand correctly, you’re not so much concerned about the p2p architecture, rather than the default seeding policy? (You’d prefer that to be selective rather than open by default? )
I've been using this as well, since the feature set vs license terms and pricing were so good. But man is it slow and clunky compared to Fusion360.

Just trying to model a very basic part, I feel like I'm constantly fighting the software trying to figure out how to get it to understand what constraints I want, or why it won't accept something that feels like it should be obvious. Or jumping through hoops like linking figures across sketches rather than being able to use parts of a single sketch for separate features. Sigh.
Zenni has historically been good about shipping without a prescription (not sure about present day), and you can buy contacts in Europe without a prescription and have them shipped, although the shipping is a bit higher.
I know plenty of ugly men in committed, loving relationships. You're the one bringing up looks. I don't think it matters what you look like; if you want to date a computer you have some kind of psychiactric disorder.
> In reality none of the models who are successful have time to talk to fans, everything is outsourced

It depends how you define “successful”, but I would say that’s not true. I personally know several OF models for whom it is their fulltime job (earning decent money), and they do not outsource anything. Highly popular models almost certainly do, but there’s a lot of smaller creators who don’t
> first introduced in the paper Large Language Models are Zero-Shot Reasoners in May 2022

What's a zero shot reasoner? I googled it and all the results are this paper itself. There is a wikipedia article on zero shot learning but I cannot recontextualise it to LLMs.
Perhaps GenAI may point out a blind spot, just as a kid may see something the adults do not due to stale heuristics
Is there a new drug we need to know about?
> But at some level, it was just bad people making bad calls. I don't think McNerney thought that this would wreck Boeing, he was just wrong.

Well, he was stupid not to - there's no way he didn't know thay focusing on the short term stock price won't have negative effects on the quality and future of an engineering organisation whose main business, building and selling airplanes, is extremely capital intensive. He came from McDonnell Douglas who nearly bankrupted themselves doing the same sort of crap (pushing suppliers to the edge, cost cutting at every opportunity).
> Once you grab your dubious device, the seller has already got your bucks in exchange of a fake device.

Unless you're buying your flash device on the street and paying cash, you likely can return it or initiate a chargeback.

And even if you can't undo the purchase, it's better to know whether a device is fraudulent before you start filling it up with real data that you don't want to lose.
> The Postal Service receives no tax dollars for operating expenses and relies on the sale of postage, products and services to fund its operations.

The Postal Service has a legally enforced monopoly that it abuses to deliver literal metric tons of spam into our mailboxes every single day.
They moved their HQ to Chicago and then DC to focus on government contracts (they suck at those too), so "Washington company" is extra funny.
Agreed. It we never "just autocomplete" unless your definition of "autocomplete" includes "look at the whole body of text".
Rarely using it at work, seems you are overestimating
Store some drives (readers) with the tapes, include an IDE (or whatever it is) to USB adapter if you are worried.
source? or did you mean $1000/month?
Exactly this. The menial tasks become less of a burden and you can just power through them with LLM generated scripts.

If someone expects the LLM to be the senior contributor in novel algorithm development, they will be disappointed for sure. But there is so, so much stuff to do to idiot savant junior trainees with infinite patience.
The top comment in this thread highlights the astonishing sums of money the shareholders were taking from the company. If you think the workers are to blame for the state of their finances you are either ignoring the facts or you are in here dishonestly trying to push a narrative.
I prefer tech blog than GitHub profile as well :)
This is very interesting and thought provoking. On its face it sounds so simple - just put the bots in a room together and let them go at it. But of course it's much more complicated than that, at least if you want good and/or interesting results.
> Well, Turkish and Magyar spread because of elite diffusion.

I don't really see why that would mean that Mayan didn't spread through elite diffusion?
> We went from

None of the above.

This isn't about how "smart" AI is.

1. Let's assume it was smart and can update a field spanning 1000s of microservices to deliver this new feature. Is this really something you should celebrate? I'd say no. At this point there should have been better tooling and infrastructure in place.

2. Is there really infinite CRUD to add after >10 years? In the same organization where you need >100s of developers all the time? 1s where you'd ignore code reviews and "just accept its changes"? Whether I write code or my colleagues etc I'd have a meaningful discussion about the proposed changes, the impacts and most likely suggest changes because nothing is perfect.

So again, it's about the environment, the organization or at least this individual case where coding isn't just about adding some lines to a file. And that's with AI or not.
I'm currently working on a project for the blind and through my research have been made aware of the various accessibility features in macos.
> K8s is painful to get started

Is that really true anymore? Even self hosting k8s these days (e.g with rke/rke2) is a single yaml file and one command to deploy an entire cluster.. Maybe back when we all used kubespray and networking was more complicated (to the user at least) etc.. But today? I don't think so.

Using a hosted offering is even easier, literally a couple of clicks, a ./gcloud-cli or terraform apply -- again not very hard and all the cloud providers provide you with example code you just need to plug some machine sizes etc into..

Dev setup? Install orbstack and click 'kubernetes' and you're done, your IDE (likely) will automagically pick up your kubeconfig and you can go right ahead creating services, deployments, jobs, whatevers...
> Are you saying chatbots don't offer anything useful over search engines? That's clearly not the case or we wouldn't be having this conversation.

No, but that is the value that's clear as of today—RAGs. Everything else is just assuming someone figures out a way to make them useful one day in a more general sense.

Anyway, even on the search engine front they still need to figure out how to get these chatbots to cite their sources outside of RAGs or it's still just a precursor to a search to actually verify what it spits out. Perplexity is the only one I know that's capable of this and I haven't looked closely; it could just be a glorified search engine.
Sure it's failed from the floor workers because they forgot the plug door needs bolted. It's failed other ways due to the other (SPEEA) union botching the MCAS.

Sometimes it's easy to lose track of how basically all the Washington unions are so broken in their homicidal negligence while begging for more money to fail miserably.
It’s nice on the outside, but employees are actually all different people and this here is one company’s blob of numbers with not much incentive to optimize your cost.

Competition fixes some of this, I hope Anthropic and Mistral are not far behind.
It used to be that you had to give examples of solving similar problems to coax the LLM to solve the problem you wanted it to solve, like:
"""
1 + 1 = 2 |
92 + 41 = 133 |
14 + 6 = 20 |
9 + 2 =
"""
-- that would be an example of 3-shot prompting.

With modern LLMs you still usually get a benefit from N-shot. But you can now do "0-shot" which is "just ask the model the question you want answered".
> it eliminates the biggest drawback of sex work which is safety issues

It certainly reduces it a lot and your point is valid, but let’s note that it doesn’t “eliminate” it: doxxing and stalking are very much a thing and my OF creator friends live in flatshare or have building security for safety reasons
Why do you guess that? The sentence includes both "safe" and "healthy"; the latter is redundant on your guess about the former. This is basic reading comprehension really.
Porn is fine. Sex has been a part of our social fabric for longer than we've been human.

Obviously, there exists a lot of exploitation in porn, but performers who enjoy doing it and can support themselves with it on a platform like of? More power to them.
That's the whole point of journalism. Right now, they gave neither the facts that the GP wanted, nor the context and understanding that you may need to be comfortable enough to judge it's reasonableness within the context of the strike/industry/company.

It's like a BS meeting by a BS manager that he holds for "stakeholders" where he just throws a bunch of facts on the table, and then proceeds to do nothing to guide the decision making process. And then during the whole meeting we all run around like headless chickens trying to find out more info and context, all half-arguing with one another because we all have different pieces of the puzzle.

</rant> Sorry had one of these just yesterday, and no matter how delicately I phrased or insinuated-it the person with the most info/context just did not offer up guidance and direction (ironically it's the same person that organized the meeting). Then at the end they gave praise to all those that contributed and then said they'll schedule another meeting to discuss the outcomes because we "couldn't reach consensus" or "decide on the next course of action".
CEO pay is relevant because Boeing haven't had a competent CEO in decades. Yet all of them were compensated handsomely for making pretty obviously bad choices (e.g. the 787 development was done McDonnell Douglas style, pushing most of the costs and risk to suppliers, and was highly problematic) or downright killing people through negligence.

> I am also not sure why the stock buybacks are worth mentioning

Because Boeing is a very capital intensive business that is currently in mountains of expensive debt, with multiple projects delayed with years, and a recovery time of 5 years minimum. The idiots in charge wasted billions on the wrong things, and now the company is a very bad situation.
My point of view: this is a real advancement. I've always believed that with the right data allowing the LLM to be trained to imitate reasoning, it's possible to improve its performance. However, this is still pattern matching, and I suspect that this approach may not be very effective for creating true generalization. As a result, once o1 becomes generally available, we will likely notice the persistent hallucinations and faulty reasoning, especially when the problem is sufficiently new or complex, beyond the "reasoning programs" or "reasoning patterns" the model learned during the reinforcement learning phase.
https://www.lycee.ai/blog/openai-o1-release-agi-reasoning
They’re not charging anything for o1 right now - it’s running as a free beta.

EDIT: Actually I’m not sure I’m correct about that - I’ve seen screenshots that indicate the API model is being charged for here: https://twitter.com/deepaiwriter/status/1834460643228897512

The value OpenAI get here is that people effectively run a massively parallel brute force attack against the new models to figure out exactly what they can and can’t do.
> I don't think that people understand how expensive Oracle gets.

And the actual real value it provides. Oracle, the database is actually useful. It's possibly the best (or close to) in the market if you've got a large amount of data and need its feature set.
I’m not sure I quite understand why that’d be a red flag?

It’s great if there are lifelines, education, and good security equipment by the water, but if it’d be the city’s responsibility to keep me safe from drowning I’d worry they’d try to push me into swimming only where and when they have chosen.