skysight-inc/HackerNews huggingface dataset:
A major chunk of storage reliability is all these weird and unexpected failure modes and edge cases which are not possible to prepare for, let alone write fixed specs for. Software correctness assumes the underlying system behaves correctly and stays fixed, which is not the case. You can't trust the hardware and the systems are too diverse - this is the worst case for formal verification.
Yes. If one applies correctly the rules of logic on inconsistent axioms, the conclusions will be inconsistent. If one incorrectly applies logic to inconsistent axioms, the conclusions may or may not be consistent. It happens IRL sometimes; "being right for the wrong reasons".
That being said, I suspect the game of the author is to play with leaky abstractions. TCP is a stream-oriented protocol, but is implemented on top of frames etc.
Or turn it into something wider than HN.. a button that can be added to any page on the internet that becomes easier to recall "hey I wonder who else likes or wants to discuss this article on meet.x?
I was excited when I found that I could actually buy xanthan gum in the grocery store; now I can make delicious foods at home!
That’s already a thing, it’s called Reader, built into Safari
Mimir [1] is what we use where I work. We are very happy with it, and we have very long retention. Previously, our Prometheus setup was extremely slow if you went past today, but Mimir partitions the data to make it extremely fast to query even long time periods. We also used Thanos for a while, but Mimir apparently worked better.

[1] https://grafana.com/oss/mimir/
There's a lot more slumlords than you may realize. Plenty of scummy property management firms, too. I suspect they far outnumber your nice guy landlords.

Kind of depressing that the grandparent comment got people angry enough to flag it into oblivion. Leave it to HN to stand up for the big guy, I guess.
> It's somewhat besides the point of the piece and might be unfair, but I can't help to feel an immediate sense of distrust for any piece of writing that uses AI images.

Im guessing that you’re probably not representative of the target audience, or the author doesn’t know his audience well.

The image is thematically appropriate. I don’t think the author is trying to bamboozle anyone with that image.
I like this idea, but this felt like half an article. I thought the second section was setting up a detailed explanation of "the time [they] got it wrong" and I was really interested to learn about it, but instead it goes straight into a conclusion (and a plug for their telegram channel!) without offering any real evidence or examples to support the idea.
Eh I don’t think anyone in the states will fill the hole if intel collapses so talk of a robust market and competition is kind of moot. I feel you have to do whatever it takes to prop it up because once it’s gone it’s never coming back.
I really expected Satoshi to move his bitcoin between wallets during the trial.
I would like to make the unsubstantiated assertion that unscrupulous police and occasionally private entities use this existing technology (available for organizations such as libraries, venues, corporate) off-label on occasion as an “investigative tool”, which is to say maliciously.
You don’t think bespoke emojis are a boost to productivity?
> Leaving that aside, people probably react that way because the corporation just wants to gather advertising data from everyone, impersonally,

There's nothing more personal than the collection, use, and sale of every intimate detail of your life. And corporations don't just want to gather advertising data. They want to collect as much data as they possibly can in order to use it in any and every way that might somehow benefit them and the vast majority of the time that means using it against you. It stopped being about advertising decades ago.

That data is now used to set the prices you pay, it determines what jobs you get, it influences where you are allowed to live. Companies have multiple versions of their policies and they use that data to decide which version they will apply to you, how you will be treated by them, even how long they leave you on hold when you call them. That data is used to extract as much money from you as possible. It's used to manipulate you and to lie to you more effectively. It is used against you in court rooms. It can get you questioned or arrested by police even if you've done nothing wrong. It gets bought by scammers, extremists, and activists looking for targets. Everyone who collects, sells, and buys your data is only looking to help themselves so that data only ever ends up hurting you.

More and more that data has very real world consequences on your daily offline life. You're just almost never aware of it. A company that charges you 10% more than the last person when you buy the same item isn't going to tell you that it was because of the data they have on you, you just see the higher price tag and assume it applies to everyone. The company that doesn't hire you because of something they found in the dossier they bought from a data broker isn't going to inform you that it was a social media post from 15 years ago that made them pass you over, or the fact that you buy too much alcohol, or that you have a history of depression, they'll just ghost you.

If the data companies collect only ever determined what ads you see nobody would care, but that data is increasingly impacting your life in all kinds of ways. It never goes away. You have no ability to correct errors in the record. You aren't allowed to know who has it or why. You can't control what anyone does with it.

The guy taking pictures and video on the street probably isn't looking to spend the rest of his life using that footage against you personally, but that's exactly what the companies collecting your data are going to do with it and if/when they die they'll sell that data to someone else before they go and that someone else will continue using it to try and take something from you.
For number 2, how did you come up with the very narrow 15 year window of birth from 1980 to 1995? I was born in 1963 and for the entirety of my upbringing it was a forgone conclusion that the lack of post high school education had a dire and inescapable consequence in future earning and socioeconomic status.
Safety is a social determinant, risk is an objective measure. We have not been able to adequately quantify the risk associated with the ambient level of microplastics in the environment and in our bodies. But we have an overwhelming amount of data that risk does indeed exist:

https://link.springer.com/article/10.1007/s10311-024-01727-1
> What is to say is that let's say, the Pax Chinesa, could be better and more prosperous than the Pax Americana so we should not be afraid of ditching the US in favor of alternatives.

Right from the american independence, it was obvious to the whole world that american model is more free and democratic than british. Revolutionaries all around the world, in France, in Haiti, in South America (both Simon Bolivar and Jose de San Martin) held the new USA as a model to follow.

Can anyone say that about China? Well, of course, somebody can — there are influencers who try to sell China and Russia as a better alternative to the western world. But expect to be taken as seriously as these influences then.
Geothermal, unlike nuclear, scales down well enough to be a plausible source for high latitude markets, where solar is disadvantaged. It's a niche, but one that could well sustain the technology even in a solar-dominated world. This is especially the case if it can benefit from cold winter conditions to improve efficiency (with solar taking up the slack in summer).
Ha! thanks a lot for sharing, love it. Nice touch to use low idle RPM fans.

Same thing for my ancient NAS: after boot, the fans run at idle for hours and the PID controller just doesn't have to do anything at all.
Just speaking from my experience, here; when I sit down to code, actually typing out the logic of what I want is not what I spend my time doing. I research optimization options, I prep old code for new features and refactor cruft. I have an AI-enabled editor, but besides generating boilerplate the AI-based features are mostly useless. My job doesn't rely on endlessly generating buggy code, it depends on the existence of endless buggy code that needs correcting.
Except the LLM didn't deliver a "wrong" result, it delivered text that is human readable and makes grammatical sense. Whether or not the information contained in the text is "wrong" is subjective, and the reader gets to decide if it's factual or not. If the LLM delivered unreadable gibberish, then that could be considered "wrong", but there is no "hallicinating" going on with LLMs. That's an anthropomorphism that is divorced from the reality of what an LLM does. Whoever called it "hallucinating" in the context of an LLM should have their nerd credentials revoked.
This is true, though the issue of having error variants the function can't return is fairly overblown, because most code doesn't bother handling all error variants individually. Most of the time an error is either propagated upwards (possibly wrapped in another error) or logged. Inspecting the error variants is usually only done if you want to specially handle some of them (such as handling `ErrorKind::NotFound` when deleting a file), rather than exhaustively handling all variants.
>you would be hard pressed to find many humans capable of helping with (at least without shelling out $500k+/year in compensation for).

And now we have a $number we can relate, and refer, to.
Getting a 260% (and this is a lower estimate) return might be great depending on the duration. If 10 years would be around 26% ROI. I wonder if there is any ETF that invests in all startups.

———-

Calculation below:

To calculate your net return based on the provided percentages and their associated returns, we need to determine the weighted average return for each category. The net return is the sum of all these weighted returns.

Here are the steps:

1. *25% of investments make zero return (100% write-offs)*:
- Return = 0
- Contribution to total = \( 0 \times 25\% = 0 \)

2. *25% of investments produce a return greater than zero but less than 1x (are losses)*:
- Let's assume the average return is 0.5x (midpoint between 0 and 1x).
- Contribution to total = \( 0.5 \times 25\% = 0.125 \)

3. *25% produce a return between 1x-3x*:
- Let's assume the average return is 2x (midpoint between 1x and 3x).
- Contribution to total = \( 2 \times 25\% = 0.5 \)

4. *15% produce a return between 3x-10x*:
- Let's assume the average return is 6.5x (midpoint between 3x and 10x).
- Contribution to total = \( 6.5 \times 15\% = 0.975 \)

5. *10% produce a return of 10x or greater*:
- Let's assume the average return is 10x (the minimum in this category).
- Contribution to total = \( 10 \times 10\% = 1 \)

### Total Net Return:
Summing all the contributions:

\[
0 + 0.125 + 0.5 + 0.975 + 1 = 2.6
\]

So, your *net return* is 2.6x or *260%* of your total investment.

This means, on average, you would get 2.6 times your initial investment overall.
The Humane Environment Project (2002)
BOFH, BileBlog, The Daily WTF;

No wonder we all turned cynical.
I like that there’s a way to skip all that boot loading stuff, your comment made me want to actually try this. I want to build a fun little OS for myself but I hate the part where you have to do magical incantations to get to a decent machine state to do stuff in. Not that it’s a bad thing, everybody likes different stuff. Thanks for mentioning this!
More ergonomic queries, though less flexible than sql
https://direct.playstation.com/en-us/buy-accessories/backbon...
Factor is one of those projects that stands as a huge challenge to other conventional languages and their runtimes (or it would if anyone took it seriously that way.) The compactness and power, the "bang for the buck" is staggering.
In a person's late 30's job prospects for professional jobs are primarily a function of the person's professional network. If you get a degree in CS, you will be one among many fresh CS grads. What will stand out is your age and work history. These will raise a natural and reasonable question "Why hasn't this person been hired by someone who has seen their work or worked with them?"

For someone whose job is going through 1000 cold call resumes a day, "No" has a low bar because the shortlist is only a small fraction of the resumes. It's not impossible. But by your late 30's "potential" is not a saleable asset.

Go to school to learn something you are directly interested in. If you want a job in BCI, Ai, aerospace, etc. apply for jobs in BCI, Ai, aerospace, etc. Good luck.
You correct. But I’m clumsy and interrupt-driven. I would somehow forget about them, drop them on the floor, then trip on them and break a hip.
SEC claims when it said 'asset securities' never meant tokens were securities
I'm not arguing that you can't get result with LLMs, I'm just asking is it worth the actual effort especially when there's better way to get that result you're seeking (or if the result is really something that you want).

An LLM is a word (token?) generator which can be amazingly consistent according to its model. But rarely is my end goal to generate text. It's either to do something, to understand something, or to communicate. For the first, there are guides (books, manuals, ...), for the second, there are explanations (again books, manuals,...), and the third is just using language to communicate what's on my mind.

That's the same thing with search engines. I use them to look for something. What I need first is a description of that something, not how to do the "looking for". Then once you know what you want to find, it's easier to use the tool to find it.

If your end goal can be achieved with LLMs, be my guest to use them. But, I'm wary of people taking them at face value and then pushing the workload unto everyone else (like developers using electron).
Isn't it what Reflection 70b (https://news.ycombinator.com/item?id=41459781) does on top of Llama 3.1?
So far only the related traits.

That is the kind of excuse we give in C and C++ land, using static analysis isn't that bad.
What the hell do LLMs have to do with anything on this topic? If anything, they commodify low-level tech folks just like past tools have. I'll mostly hire a smart liberal arts major so long as they're respectful of tech and other domain expertise over someone who thinks it's only about (probably narrow) technical smarts.
In the case of Chibnall its quiet obvious why fans are ignoring cannon. He did first. The plot of his run ignored previously established cannon from preceeding season and made large changes to the established lore around the doctors origin, and the entirety of Galafray society said and shown on screen. So fans chose to ignore plots from his time as showrunner. Its like when fans of books ignored unfaithful movie adaptations.
We can disagree on it being overblown or not but I think it would be enormously useful to be able to look at a function signature and know exactly how it can fail.
I understand that writer's position that they can't go back and fix it now, but in my mind "We can't very well fix it now" is quite different from perfect. I think such a rationale justifies every choice as equally "perfect" and is thus useless.
How different things would be if the phenomenon had been called "makin' stuff up" instead. Humans make stuff up all the time, and make up far more outrageous things than AIs make up. One has to ask whether humans are really intelligent /not entirely sarcasm.
Because at that time an engineering degree still had some weight because not everyone can get it. This inflation 9f degrees caused the degrees to have way less value only for the next generation
> Explainer for 1-4: https://en.wikipedia.org/wiki/Two_Generals%27_Problem. TL;DR: If the connection breaks while an ACK is outstanding, the sender will have no way of knowing whether the segment was received, and this turns out to be an insoluble problem no matter how much complexity you pile on top of it. You need something resembling Paxos or Raft to get a guarantee like that

The hashgraph algorithm is pretty sweet too and doesn't have the issue of a single write leader like Paxos and Raft. Basically multi-writers / leaderless

https://www.swirlds.com/downloads/SWIRLDS-TR-2016-01.pdf

But to be fair, I'm not certain that CAP theorem and partition tolerance really belong in a conversation about TCP anyway
I’m not sure that the impact on the debtors is even the worse part. The removal of any apparent consequence for the cost of education also seemed to remove an incentive for the university to provide a quality product.
Yes, it's feasible.

Wielded well (read "Starting Forth" and "Thinking Forth") the concatinative languages are very good for eliminating incidental complexity, so code approaches the Kolmogorov complexity of the problem or task it's for.
Economics is a Field of Software Engineering. It should start acting like one
It's not really Excel, is it? But users not reviewing what's happening, not paying attention.
Tangentially, Peirce has a diagrammatic logical system that's built entirely on conjunction and negation which is isomorphic to propositional logic. He also defined extensions for what we now call predicate logic and modal logic.

John Sowa annotated Peirce's tutorial and it's quite interesting[1].

[1] https://www.jfsowa.com/pubs/egtut.pdf
It is a secret one way lock. Disturbing the machine and it locks/encrypts/sheds data. Bringing the machine back to the safe zone would not decrypt the data.
Here's one from simonw

https://gist.github.com/simonw/97e29b86540fcc627da4984daf5b7...

There are more to be found on his blog on the ai-assisted-programming tag.
https://simonwillison.net/tags/ai-assisted-programming/
Like Chrome’s oh so helpful ERR_NETWORK_CHANGED
What the U.S. actually has is a group of people intent on keeping their doctor wages high by limiting supply through regulation and bottleneck creation.
You dont buy the online statistics, so you ask online randoms?
Re [1]: No TLS? :(
What's everybody's favorite distribution on the Frame.Work 13?
Getting it next week, and toying around with Arch/Debian/Ubuntu/Suse/NixOS/etc in VMs while waiting for it. I think I'll have to throw a coin (or just take Debian).
I can't find the source for the stat I mentioned originally but the data I did find doesn't paint the rosy picture of a getting college degree with debt being an unambiguously +EV decision.
How does one sign up? I don't see anything on the site to do so. Did I miss it?
For the record, the CSS used to achieve that result can be found at https://gitlab.com/-/snippets/3715038
Yeah I stopped with 5 and 6 and will never give the slightest care what this person has to say ever again.
You're conflating current disbursements with the outstanding debt, which is what the original assertion was on. Either way it is looked at though, their assertion is wrong.
> cannot use discretion in deciding who he gets to forgive for loans

You present this as though it doesn't make sense, but as far as the federal government is concerned forgiving a debt is spending (which is why the IRS will tax you for forgiven debts, income is the other side of spending). And spending is explicitly under Congress's authority.
In fairness, they will also admit they were wrong even if they were right.
Artifacts of the toxic "contempt culture" historically endemic to hacker culture.

https://blog.aurynn.com/2015/12/16-contempt-culture/
I'm honestly more optimistic about cryptocurrency as a mechanism of exchange rather than an asset. As a mechanism of exchange, cryptocurrency has some actually novel properties like distributed consensus that could be useful in certain cases. But an asset class which has zero backing value seems unworkable except for wild speculation and scams. Unfortunately the incentives around most cryptocurrencies (and maybe fundamental to cryptocurrency as an idea) greatly emphasize the asset aspects, and it's getting to be long enough since it became a thing that I'm starting to become skeptical cryptocurrency will be a real medium of exchange outside of illegal activities and maybe a few other niche cases.
Is that a problem? Ingesting entire works is the norm, no matter how much gets used.
It's a massive downside. When I was using the JSON parser I found it very annoying that it could only tell me the input JSON was invalid, not where in the input the problem was.
I’m pretty sure originals that defined this format did have examples and citations.

But I do agree that some of the later entries have felt a little lazy.
I studied bioinformatics in university back in 2005, and the first subject we were trained on was not Python or Java, but using Excel. Our teachers explicitly told us about excel's conversions to dates and other pitfalls. I find it mind-boggling that some researchers still made these mistakes 10 years later.

Excel is a wonderful tool. But you need to learn your tools and find out about possible footguns.
Right. And even if you outcompete your competitor on product—say they're un-innovative and even slow such that they continually copy all your stuff, doing it with a year lag and less polish—they can still beat you because you're charging $X and they're "free" using the VC money at a huge CAC to outgrow you. That CAC may have no real path to coming down, but it's easy enough to describe highly unlikely ways it might—particularly when the investors and the execs are aligned on finding greater fools.

As unsustainable as their path might be—and it is on a few dimensions𐠒—they have options you don't. The obvious ones are buying customers long enough to last until exit and "re-financing" by showing the same VCs the same (high CAC-powered) numbers and extending the runway.

𐠒 It's unsustainable first financially (if you don't count the exit). It also (in theory) doesn't sustain/grow your team in an expertise or culture sense, the way that coming up with the features yourself trains some creativity and grit and might provide a greater culture win when things launch. And lastly if your customers base is there because it's free, then they'll leave when it's not free (or not cheaper than alternatives). You can definitely find all three of these as sweet summer child ways to care about business today, which I think is the point.
I'm hoping Ladybird makes it across the finish line.

https://ladybird.org/
Only one in five? Evidence of egregious overengineering by the Excel team.
> Just going to ignore the scare quotes then?

Yep. The analogy is bad even with that punctuation.

> None of us experience time.

That is not true and would only be worthy of discussion if we had agreed that comparing human experience to LLMs predicting tokens was worthwhile (which I emphatically have not done)

> You don't have to think computer programs have souls to believe that running algorithms over human languages to produce free output that is comprehensible and convincing to humans requires comparisons to humans.

This is true. You also don’t have to think that comparing this software to humans is required. That’s a belief that a person can hold, but holding it strongly does not make it an immutable truth.
The problem is dominantly that with traditional techniques the US doesn't have useful geothermal energy resources, so not having geothermal energy historically doesn't mean that newer approaches that aim to work in far more areas will also fail to scale.

Skepticism is reasonable around any new technology, but the arguments for geothermal are convincing enough that it seems easily worth the attempt.
Why are you arguing against the entire thread as a reply to my comment?
Writing code is the easiest part of the process (relatively speaking). Figuring out the requirements, working with stakeholders to drive consensus, and understanding user needs is the bulk of the work.

LLMs will certainly lower the entry barriers for new programmers, and might also create a new solopreneur economy because of it. Now non-technical people with ideas can start prototyping and raise money, but would soon need engineers to grow the product.