skysight-inc/HackerNews huggingface dataset:
I was able to get an LLM chatbot to write another chatbot, with the idea of giving it filesystem access and the ability to run git. I got half of it working, but I got stumped around function call LLM models, so I kindof gave up.

But a better answer would be, given a large enough context size (32k or higher), it should be reasonable to write code as long as it doesn't try to do something stupid like using the wrong json parser format for a function that doesn't even exist in that library.
I really, really, really hope Ticketmaster gets broken up. Their shittiness seemingly knows no bounds.
> If the project is actually just a hobby, then CE and probably FCC testing is not needed.

That's the entire problem: According to the law, it is! There are extremely few exception, and the exceptions that do exist are essentially useless for hobbyists. Everyone selling small-scale prototypes on websites like Tindie is just rolling the dice and hope they don't get get a life-ruining fine.

There are plenty of $5-$50 trinkets I'd like to design and sell as a hobby to fellow enthusiasts, due to their niche nature probably only a few dozen of each. But there's no way I can afford a $5000-$10.000 testing & certification fee on each one of those, and without that I'd be breaking the law.
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We're seeking full stack developers to join our team in developing, supporting, and operating our platform.

Our tech stack includes: C#, ASP.NET MVC, Microsoft SQL Server, HTML, CSS, and JavaScript

Details: https://www.datarg.com/careers.html
I'm not sure how IAM is any more difficult or harder to comprehend than any alternative. I've been using AWS since 2010 and frankly IAM has never been an issue. Can you give some examples?

In any case, IAM and its essential features are not some optional thing; it's actually the prerequisite for AWS existing in its current form. IAM is the most universal AWS service - every other AWS service must use it. It's a loosely coupled symbolic policy computation engine for federated identity and service permissions. The "federated" part is doing A LOT of heavy lifting here: without federation, it's impossible to decouple teams and achieve the organizational velocity that AWS has.

Other cloud providers have ended up re-inventing AWS IAM, sometimes poorly. Although I have to give GCP credit for recently greatly improving their IAM console and permissions error usability.
Comparisons against H100 I have seen are always:

8x AMD MI300X (192GB, 750W)
8x H100 SXM5 (80GB, 700W)

Never against 8x H100 NVL (188GB, <800W)

What the customer does not see is how AMD must spend 2 times more money to produce a chip that is competitive against architecture that is soon 2 years old.
TFA explains that the seal design was flawed. The cold helped, but the design had already failed in earlier flights, and that had been observed. It really was a seal failure.
I don't know what well documented reality you're talking about, you've made a bunch of unsourced claims wrt the Starlink thing which may or may not be correct, and you've chosen to close your eyes and ignore everything else you know people tend to bring up (even stuff I specifically brought up). There's nothing more for us to discuss. You even admitted yourself that there's nothing anyone could say to make you change your mind, so why are we still here?
If you're the author and interested in this kind of data based ceramics approach, then I recommend looking at: https://digitalfire.com/index.php by Tony Hansen. Found it awhile ago, and has:

oxide lists: https://digitalfire.com/oxide/al2o3

materials lists: https://digitalfire.com/material/list/1-9

recipes: https://digitalfire.com/recipe/list

firing schedules: https://digitalfire.com/schedule/list

ceramics properties tests: https://digitalfire.com/test/glfl

Frankly, I kind of ferret shocked when I read it. Way too much data, that nobody seems to use. Reading ceramics message boards and through Ceramics Monthly or Clay Times, they often appear to be in the dark ages from testing comparison
As a note, Centerpoint generally does have an outage map - it was just experiencing an outage itself.
The stories, novels and dialogs of the future is going to very boring and colourless.
Where in that source does it claim that Silo didn't have to pay to use the hardware?
Mercury accounts are DDAs, not FBOs.
Because everyone knows how to use archive.org
The problem is when you guess ahead of time what directory structure you need and get it slightly but not obviously wrong. Start flat, and when that becomes a problem, you'll know why it's a problem and how to restructure it.
I think ChatGPT is just the next level search engine for coding. It doesn’t fundamentally change anything about building complex systems, just another tool.

I would never ship a production app built with ChatGPT. I need to know the intricacies of my code base. I wanna fix bugs in my head based on the architecture and specific implementation details. I need to know how fragile or not my system is and its weaknesses
No copy-paste was explicitly used. They compressed it into a latent space and recreated from memory, perhaps with a dash of "creativity" for flavor. Hypothetically, of course.

The distinction is pedantic but important, IMHO. AI doesn't explicitly copy either.
Keep going Xavier! Not sure about the use ok Skool, but good enough for an mvp :)
Matrix of Consumer Discontent
An AI chatbot about climate change.

My one experiment:

How deeply fucked are we by climate change?

Sorry, but we could not generate an answer to your question. This product is still in an experimental phase. Please consult the article below which may be relevant to your query.
Okay? But it’s still more impressive than anything Elon Musk will ever do.

Also, I find your sentiment to be lacking nuance. We CAN’T do everything at once. There are obviously priorities and budgets and technological barriers that make some problems practically easier to solve than others. Why not go for the low hanging fruit first? Why not spend valuable resources improving our overall quality of life instead of mass producing some oversized electric hotwheels truck?
In cars I see more analog than segmented displays for the speedometer, but I'm sure you're right that the underlying technology can be digital. For MCs, I kind of agree with you that numbers are nicer.
>I wish we would have more discussions on how to improve Lisp even further instead of trying to 'fix' C or C++ for the umpteenth time.

I agree one million percent; projects like SBCL are great, but my impression is that there are tons of improvements to be had in producing optimized code for modern processors (cache friendliness, SIMD, etc), GPU programming etc. I asked about efforts in those directions here and there, but did not get very clear answers.
Location: Barcelona
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Technologies: System administration Windows/Linux, Docker, Python, PRTG, Veeam, Acronis, MWare, Office 365, WatchGuard, PfSense, Cisco, Ubiquiti, Bash
Résumé/CV: Available upon request
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Interested in any Sysadmin/DevOps role
> I wanted a number name. I think seven is the best single digit number. It’s the number of bodies in the sky that move relative to the ‘fixed stars’ — in other words, the Sun, the Moon, Mercury, Venus, Mars, Jupiter and Saturn. That’s why seven is such an important number cross-culturally: it represents all things that wander in the heavens. It’s also the number of variables in the Drake Equation, and Seven of Nine is my favourite Star Trek character. There’s a lot going on there.

George Costanza was way ahead here:

https://youtu.be/NRUdaWZ4FN0
However, do keep in mind the principle you need to think about when designing such an organization, which is warning fatigue.

Anything as complex as the shuttle is going to have any number of groups raising any number of warnings about any number of components. If you heeded all of them, you'd spend eternity investigating everything and nothing would ever fly (welcome to the SLS.) How many other warnings of similar perceived severity were ever raised but flew anyway and never resulted in anything catastrophic? Probably a lot. "Go fever" is a problem, but so is its opposite in warning fatigue.

It's easy to condemn the organization, but that has to also come with some sense that the organization had a million problems to deal with, and we only knew to pick out this one after it happened.
In such situations it's possible to bring in special police units with guns; that doesn't mean you now have to equip every bobby with one. Thankfully in the UK regular police still don't carry a gun (except for NI, but that's historical), and, unsurprisingly, the number of people killed by police in orders of magnitude lower than the US. And the UK homicide rate is 4 times lower than the US, which proves that having more cops with guns does _not_ reduce violent crime.
...as of six months ago.
YMMV, but my experience is very different from what you mention above. Every company I've been at has paid very close attention to ensure that women are treated fairly with the understanding that these biases exist.

But there's some truth to what you're saying. I do think women tend to be the "babysitters" on the team. I've noticed this often on teams I've been on. They're usually the ones that are the "cultural heart" of the team and organize all the events. Sometimes I've been their manager so I've asked and I'd say it's about 66/33 they legitimately enjoy doing it vs they felt pidgeon-holed into it because they volunteered once.

As for the transitions into other roles, I think it's impossible to tell if it's bias and or a natural inclination. There's no way to look at the data empirically and determine this. In my experience though, I think women are often encouraged to take these roles not because there's a bias towards "women are good at soft skills" but that these are generally the roles that provide better career advancement and visibility. It has always seemed to be a somewhat mis-guided outcome of allyship.
Engineers viewing design as a 'less prestigious' role is laughable. The compensation for these tracks is pretty much equal. I would love to hear you spell out why exactly you perceive design as less prestigious.
In case you're wondering what it's like to play Codenames with ChatGPT
But honestly I hope everyone keeps pushing this “AI is gonna replace programmers” stuff. Will keep people out of the field and my technical chops will have higher market value.
How do you curate that kind of crap out though? It almost needs some sort of evaluation process where a trained person goes in and promotes items that are thoughtful
Certainly less than 50 with revenue of 2m and expenses of 1m.
The thing you need to Google is "Reg E", which the partner bank (and through them, the fintech program) need to follow. This covers things like losses through card fraud.
I strongly disagree. Gradle is extremely buggy where it matters the most. For instance, if I cancel a build part-way through and then run it again, gradle assumes that the in-progress JavaCompile task is completed, and proceeds to generate a Jar file containing resources but no classes. To fix this, I am forced to make useless changes, or clear my entire user-level gradle cache.
Prior discussion here https://news.ycombinator.com/item?id=34636699

Cannot believe it’s been 16months. How time flies.
Imagine holding 50000 BTC and selling them just months after the halving... Books will be written about this in the future. What is happening to Germany?
Nix solves this by forcing __DATE__ and __TIME__ to be a single immutable value in the sandbox for all builds. If you look in the store the file timestamps will be this value.
IIRC, the cooling is mostly achieved as a byproduct of continuously pulling in outside air and using a portion of it to cool the rest of the turbine.

https://aerospaceengineeringblog.com/turbine-cooling/
Thank you! It took about 2 and a half years. I worked on it during my free time alongside my full-time job, so it might feel a bit long.
For me, being a born again christian, Home Bible Studies: 100%. Also, when traveling, you meet another Christian; its like you run across a family member, every time.
Travel. Didn’t look for anyone but kept bumping into people, which ultimately led to doing excursions together or just having dinner/lunch. Have met a lot of interesting people like this, including oldschool software engineers, artists, writers and doctors. Some have turned out to be ones to keep for life.
So the reason I asked the questions isn’t just that I didn’t read it, but that I can’t without paying for it.

I would assume that if you were doing a study on this, you would test anyone that is taking place in it if they are not already tested.

Otherwise, your data would be possibly based on a flawed datapoint.

That is what I am asking. Are we assuming they are neurotypical or was ever child tested.

>> I don't think there any way to diagnose someone as having no neurodivergence.

That doesn’t really make sense to me. I could see that it may not be cut and dry but if you can test for it you also get not.

I acknowledge that it is a spectrum and this is complicated. But I would think just assuming neurotypical also isn’t the answer either if you are studying this.
Idempotent sounds confusing to me as an idempotent HTTP request (not very mathy, I know) I could run many times over, the effect being as if it were done once on the first time.

For a software build it sounds like running `make` multiple times. But those builds will be idempotent even without reproducibility/determinism as they happen on the same system.
Lost in in the trees

Lost in the hills

I'm all alone

Where are my pills?
Entertaining, but I think the conclusion is way off.

> their vision is, at best, like that of a person with myopia seeing fine details as blurry

is a crazy thing to write in an abstract. Did they try to probe that hypothesis at all? I could (well actually I can't) share some examples from my job of GPT-4v doing some pretty difficult fine-grained visual tasks that invalidate this.

Personally, I rate this paper [1], which makes the argument that these huge GenAI models are pretty good at things - assuming that it has seen a LOT of that type of data during training (which is true of a great many things). If you make up tasks like this, then yes can be REALLY bad at them, and initial impressions of AGI get harder to justify. But in practice, we aren't just making up tasks to trip up these models. They can be very performant on some tasks and the authors have not presented any real evidence about these two modes.

[1] https://arxiv.org/abs/2404.04125
My current car and one previous had digital speed displays. It's starting to happen, but the inertia is high.
> The reclassification happened in 1980

Actually, the reclassification happened in December 1982, according to the Rogers Commission report that you reference. (The original classification as 1R happened in 1980; the reclassification that removed the "R" happened in 1982.) Which I agree is not the summer prior to the Challenger launch; I was misremembering that part. But the rest of what I said--Thiokol recommending to NASA that the Shuttle be grounded until the O-ring issue was fixed, and NASA refusing--did happen the summer prior to the Challenger launch (summer 1985).

> the issues with the o-rings not sealing properly were known from the very beginning

The fact that the design was unorthodox was known, yes. The extent to which that design would lead to actual events in actual flights was not. The Thiokol engineers only gradually learned what the extent of the actual flight risk was as they analyzed flight data. A good account, which includes a brief description of how the design was flawed, the efforts made by the Thiokol engineers to analyze flight data and to obtain test data on the O-rings, the information sent by Thiokol to NASA in the summer of 1985, and and an account of the conference call the night before the Challenger launch, is given in this paper co-authored by Roger Boisjoly:

https://people.rit.edu/wlrgsh/FINRobison.pdf

To be clear, none of this means the design should have been accepted in the first place; clearly it shouldn't have been. I am simply pointing out that the article under discussion in this thread leaves out further points in the process, besides the original design choice and the conference call the night before the launch, where NASA was given strong indications that they should change their minds, and they never did.
> How do you know? You make assumptions about a system, that doesn't even is put in place

It seems obvious that any situation that unexpectedly decreases a driver's control over their vehicle creates a hazard and becomes dangerous

This is true with any situation regardless of if the loss of control is caused by hydroplaning, slipping on black ice, an unexpected flat tire, or a speed limiting system misreading a road sign and reducing your maximum speed lower than the traffic around you
The current model is "most people get paid for the work they do, but you get paid for people copying work you've already done", which already seems asymmetric. This would change the model to "people get paid for the work they do, and not paid again for copying work they've already done".
The RS485 terminals aren’t labeled on some of the cutsheets as not all models have it, here’s a quick start sheet that shows the terminals: https://leviton.com/content/dam/leviton/lighting-controls/co...
If you prefer writing JavaScript, the more power you, but I suspect Posting works on Windows. Textual, the library Posting is built on top of certainly does.
> Once even a small fraction of criminals starts to have guns and use those to kill cops to get away that becomes necessary, yes.

This is false. Police in the UK and Japan don't carry guns. And their violent crime rates are significantly lower than the US where police do carry guns.

Now granted, in the US everyone can carry a gun, so yeah, the police need them too. That's why the root of the problem is the fact that everyone, with minimal checks and balances, has the right to carry a gun and it's embedded into US culture as part of "being American".

Require insurance for gun owners, like we do for vehicles, and the problem largely goes away.

(Hardened criminals and gangs will always find access to guns, as they can in the UK or Japan. That's a separate issue that is conflated with but actually orthogonal to gun control and police carrying weapons.)
Are we just at the point where we are just watching classic Simpsons episodes and tryna make topical events a reality?

Also, the best hip hop act I've seen organically collaborate with an orchestra was Deltron 3030 (the rapper from Gorillaz). And though, not a hip hop act, Massive Attack.
Just fyi, Supreme Court has an upcoming case on affirmative action

https://www.nytimes.com/2024/07/02/us/affirmative-action-law...
Yep, if you want to compare clusters from sample A with clusters from sample B, then it's just easier to use a sankey diagram, especially for time-series data.
It’s because everything else is more expensive and people have lower discretionary spending. If my home insurance, auto insurance, health insurance, car payments, rent, grocery bills, childcare and pretty much everything else went up and stayed there, just maybe I can hold on to my older phone for one more year. Paul Krugman would disagree, but that’s about it.
> Trams often have rubber tires

No, they don't. There are a handful of weird french systems (and even less outside of France), but there are more ruber-tire metros than trams, I'm sure. They are rare and have been getting rarer.

80m is in the lower half for metros, but long in the context of systems having on-street portions (exceeding the german legal limit of 75m with a special exception). It's also on the long end for small metro systems.
Zed seems like its gotten a lot of buzz on HN, and its great to see new players in the space.

For those who have used it, what are some of the killer features?
Every ecosystem - economic, ecological, or otherwise - has a carrying capacity.

The SV/NorCal area is reaching that capacity. There are only so many dollars customers are willing to pay to get a quality product, service, or charitable act before the law of diminishing returns kicks in, and those dollars are what funds the compensation packages of both profits and non-profits. There is no infinite well of value (no matter what capitalism says), which means that there is a ceiling on things like salary and the things (namely residential real estate) that said salary can buy.

If you pay a person $300k to do a job because that's what the local job market dictates in SV, are you really getting the surplus value to cover that salary? Can you keep charging customers that amount? Will you do increasingly alienating things that causes negative externalities (read: regulation) to be passed that impact your business model's ability to pay that much?

You could very well be better off to hire someone at the $150k rate in a place like Kansas City or Minneapolis. Those aren't "Poducksville" but that's the competition the valley will begin to see.
In general, the compensation is much less than engineers at the same level but the potential for career growth beyond senior is much easier.
I wonder if the perception of engineering as a "men's field" factors into that.

Like "every engineering role I've ever had, I was condescended to by some other engineer who though he knew more than me because he was a man, maybe the culture is different around 'designer'". Likewise for "technologist".

More broadly, it seems to me that a lot of engineers' perception of inequity within their field basically devolves to "well, there's nothing about the material that's sexist, I don't understand why more women don't want to do it". It reveals a staggering lack of imagination and empathy, especially within a group that stereotypically was subject to a lot of bullying as young people.
At 98F at 3800' elevation, the density altitude would be 7,268' (assuming standard pressure). https://e6bx.com/density-altitude/
Corporate DEI can be split into 3 broad buckets:

1) Recruitment

2) Retention

3) Sponsorship

Retention improvements are generally a net positive for industry wide diversity. If someone leaves your company for harrasment reasons, they are more likely to leave the industry all together.

Sponsorship is generally net positive as well.

The funnelling I am talking about is entirely in the "recruitment" bucket. If you hire a woman software developer, they were already looking for a job. They already made a significant personal investment in getting the job. The industry is still enough if an employees market that they were probably going to get a job. You did nothing to bring that women into the industry. All you did is increase the chances that they end up working for you in particular. On the margins, this is still probably a net positive for industry wide diversity, but that is a much smaller effect then the chair shuffling effect.

Of these three buckets, the most effective way of increasing your diversity numbers is in recruitment (unless you have horrid retention). In the current environment, there is no way for a large company to get anywhere near 50/50 without a significant investment in the recruitment bucket.
Yeah this terrible article doesn't explain why it's shutting down and doesn't link to the source (a newsletter I guess, so maybe it's not available online) so people can find more answers, but I also go the impression that this wasn't what she wanted.