skysight-inc/HackerNews huggingface dataset:
> and 87% have worked with a toxic boss, according to a poll

How many bosses have those polled had? (What's the likelihood that any given boss is toxic?)
Hey! I made project like this, but I reverse engineered the API from the Ultimate Guitar android application. I used BurpSuite and Frida to look at all the HTTPS requests that the app made and went on from there
> danger to my personal well being and the cost

I don't know what your personal situation is, and you don't have to go into any detail, but how/why is coming to the office affecting your personal well being?
I don't know we can say it doesn't normally do this. What if more normal replies are just verbatim bits of training data, or multiple bits put together, but they're not specific or long enough that anyone's noticing?

There's nothing specific to this "attack" that seems like it should make it output training data.
The sibling comments mention the hardware specific dynamic linking in glibc that's used for function calls. But if your compiler inlines memcpy (usually for short, fixed-sized copies) into the binary then yes you'll have to compile it for a specific CPU to get optimal performance. But that's true for all target-dependent optimizations.

More broadly compatible routines will still work on newer CPUs, they just won yield the best performance.

It still would be nice if such central routines could just be compiled to the REP-prefixed instructions and would deliver (near-)optimal performance so we could stop worrying about that particular part.
Talking to many CEO's of mid size companies, it seems to be an extension of point 2. They have received many tax incentives from the cities in which they are located, based on the employees they have there. With WFH, the cities are threatening those tax incentives.

Typically the tax incentives are deductible property tax, except sales tax, or some type of city provided R&D subsidy to help with state level taxes.

We received these back in 2010 with a 175 person game studio and we had 3 different cities pitching for us to move there. I have received outreach on even just a 5 person company. I can only imagine what cities will do with large employers.
I have tried to find the sentence you quoted in the article and was not able to. But it is not true that "every large aircraft (...) carries an IFF". IFF is strictly military. What civilian aircraft do have (large and small) is a transponder. The article talks about this but in a confusing way.
Likewise Microsoft's $10 billion OpenAI investment has a large (majority?) portion in Azure cloud credits. Microsoft has around a 70% margin at Azure.
I prefer the opinions of mechanics.

There was a reddit thread this year where someone asked "what brand would you tell everyone to avoid", and it was a pretty unanimous "Toyota wins."

Hopefully they'll quit making infotainment systems. I like my phone->FM adapter.

Edit: I worded my comment poorly. The mechanics all love Toyota. Everything else was on many guys' shit-lists.
I'd rather solve this problem by organizing the work day so that it's not meetings all day long, rather than requiring people to go to the office to waste time in presence.
Didn't realize he was doing What If videos. Subscribed!
You should check Windmill.dev.
True, but library authors shouldn't work around those bugs. It just creates a whole lot of unnecessary legacy code in the wrong places.
My point is that -- in my experience and musical taste -- deterministic algorithms (e.g. literal scripts you write yourself to generate MusicXML, MIDI, lilypond, PDF etc) are orders of magnitude more useful than these neural network ML models that give you monolithic chunks of music. You can still use NN models in your scripts (e.g. have a model to determine chord distance, tonality etc) but there is no universal musical model that has come remotely close to convincing me so far. Of course, when it comes to Western classical music, "counterpoint" is probably the closest you can get to a universal musical model that you'll attempt to find in all pieces of music, but even that comes nowhere near even remotely close to explaining great majority of musical statements (even in something as contrapuntal as Bach). Especially when we come to 20th and 21st century music when people actively react to this model.
Yes, exactly! Automating it would take away the fun. I do understand why people automate it though - if you're trying to get your day started ASAP and coffee starts your day, then automating it makes a lot of sense.
I have many devices, and many passwords.

Using a cloud sync password manager allows me to follow best practices in having complex, unique passwords for each account.

Data breaches and password leaks at random websites are a much more common attack vector than all of your encrypted passwords being exposed via a password manager.

> Through these hackers can generally get passwords of all users of these services

I'm not sure that there's really evidence or history to back this up. As far as I know even the LastPass data breaches only exposed encrypted passwords, not decrypted ones.

For companies, the benefit is that shared credentials can be distributed to employees without people pasting them in slack, email, or other insecure services.

That access can be revoked by policy if say an employee leaves the company, and new credentials can be generated for all the employees who remain.
That assumes that any random selection of the human population is receptive to critical feedback.
Very weird how EVs and ICEs are intermixed.

I would expect vastly different results across different drivetrains, and probably even more differences across shape/size platforms (compact, sedan, truck, van, etc.).
And risk all of your work being owned by some entity you have no hopes of fighting against and being left with nothing to show for but an atrophied brain because you've offloaded all your thinking to a machine that doesn't belong to you and is not able to be audited.

What is to stop the owners of these ai systems from denying service to users for trying to make a product that competes with them? Or just straight up taking your work and using it themselves?

Why risk it?
You bring up good points!

For what it's worth, I wasn't arguing against livable wages. I simply wanted to point out the error in the parent comment's argument.
mailerlite.com has a free tier for 12,000 emails per month but limited to 1,000 subscribers.

If you don't mind writing a bit of javascript, you could use Cloudflare workers which allow sending emails via MailChannels API. Be sure to setup certificates so people cant spoof your domain.
In the rust community, TS takes on a different meaning.
Or another confidence trick on display to fool VCs that these so-called AI startups or ChatGPT wrappers have a chance in surviving this post-cheap money era.

I give it 5 years and we will see consolidation once again with the better funded AI companies out there that have private data and research to their name.
The latter has worked exactly one time (the only time I've had to use it), because it's effectively a nuclear bomb. The person was serious, but when I called to make the reservation, magically, the gentleman was not ready to plop down $200-300 a head for 20 people to listen to his political bullshit. He never talked politics with me at work again.
In the NRSV and ESV it says "a root of all kinds of evils".[0] That seems more accurate to me, because there are different roots of evil, including pride and lust. But if I understand what you're saying, it is true that money itself is not evil. In the early church, it was the glory of the rich to share their possessions with the poor. Rather, to my current understanding, it is evil to obsessively desire something beyond what God has given you, and that's not limited to just money. I wouldn't say that I'm a greedy person in terms of money (open to being wrong about that), but I've always felt unsatisfied wherever I was in life, and that led to all kinds of bad fruit. Anyway, thanks for the comment. :pray:

[0]: https://www.biblegateway.com/passage/?search=1+tim+6%3A10&ve...
I pay my VPN with Crypto and I love that I have the possibility to do this.
I don't see how 'Tesla' is not top of the list here. For the 'Trouble Areas' I suspected they're normalizing over the 'length of ownership' which would bias the scores towards older car companies.
Traceroute uses UDP by default, not ICMP
So if I understand correctly you'd like to shoot planes into the sky with a giant railgun?
From TFA: "We study 20 trouble areas, from nuisances—such as squeaky brakes and broken interior trim—to major bummers, such as potentially expensive out-of-warranty engine, transmission, EV battery, and EV charging problems. [...] We weigh the severity of each type of problem to create a predicted reliability score for each vehicle, from 1 to 100."
An "Academic Transformation" Takes on the Math Department
The article explicitly accounts for the severity of different issues, and assigns them different point values.

You absolutely can reduce it to a single scalar value. You might personally disagree with the weights, but then your calculation is just a little bit different.

And you have to be able to reduce it to a scalar value at the end of the day, or else you'd never be able to make a decision about which car to buy, because you'd be entirely paralyzed when it came to cost/benefit assessments.
No, the issue is that send-only sends all modifications, including file deletion. I wanted it to only send new files, but couldn't find a way to do that.
Oh I see, you’re saying we can simply eradicate human life! I didn’t consider that was what the parent was suggesting, but it is true I suppose, in a logical if pedantic sort of way.
Yeah, and we have more than measure zero -- the subsets of the input space on which a fully ReLU MLP is linear are Boolean combinations of hyperspaces. I was coming at it from the heuristic that if you can triangulate a space into a finite number of easily computable convex sets such that the inside of each one has some trait, then it's as good as saying that the space has this trait. But of course this heuristic doesn't always have to be true, or useful.
I struggle to conceive of a green future for aviation. I'm not saying we can't have planes, we absolutely should and for many applications they are the only answer: but high speed rail could offer a lot of what airlines currently do at significantly lower cost to both passengers and to the environment, and with less need for such extensive and radical safety features as are required for aircraft.

But just like, reading this comments about everything from batteries to from-ground power sources for ascent to dragging dead batteries after use... like, what if we just flew less? Yes for international travel that needs to happen at speed, a plane is basically the best option. But for... basically everything else, what if we just sacrificed some convenience to not be dumping industrial amounts of waste into the atmosphere?

I'm reminded of how much air quality improved almost worldwide when covid first hit and offices were shut down, offices that, I remind you, continued to function largely just fine after a period of adjustment to remote work. I'm obviously extremely for making all transportation tech more efficient, but an under-discussed element I feel in this is just... doing less shit? Moving fewer people when moving said people isn't really needed? Maybe not growing all the pineapple in one country and shipping it over to a different country to be packaged in plastic and then shipping those all over the world so everyone on the planet has ready access to pineapple, a ton of which is just going to go straight in the garbage because we don't actually need all that damn pineapple?
No, /dʒæk/ is not /ʒak/
Any details on why? I was under the impression that Camrys and Corollas are infamous for lasting a long time.
Lexus is toyota. Accura is honda. So it’s really like:

1. Toyota

2. Mini

3. Honda

4. Subaru

5. Mazda

Congratulations Japan.
Okay. I would be interested in a link for the the rule-set. I understand I'm a guest here at HN, and will respect the rules.

AI can definitely help with disabilities in communication, but I think it goes much further than this. Non-native language, human bias/error, difference in culture and norms - leading to unproductive discourse, for example..

In any case, I think Q would be a perfect name for an AI producing these snarky (humanly) ego-driven comment we're both guilty of..

I see I'm loosing some internet-points in this discussion (downvotes - I don't even have that capability so can't retaliate, feel like punching bag), so unsure I feel comfortable continuing. Would like to know why people downvote. I think there's some pretty interesting topics brought up between us: honesty in online communications, AI transparency, what constitutes human interaction? However it seems HN is not the place for this, and maybe there's merit in this point, especially with the post being about Amazon Q AI.

So let's end it here.
Disagreeing on work-related stuff usually isn't about opinions, it is usually about ways to get things done. I _want_ to hear why I'm wrong about things in my job, I want to learn. I don't care about hearing why I'm wrong about life in general.

There is a blurry line with things that are indirectly work related (ex: opinions on cloud vs self hosting, etc). Those are for friday afternoons :)
Because .COM has history before Verisign. Because businesses and people are locked in forever to renewing. It's the defacto TLD for the world. Why don't you care that a monopoly contract that extracts profit for shareholders alone with zero public good is in the best interest of the internet as a whole? Why does Verisign of all entities get to manage it?

There are cheaper TLDs, everytime they go up for bid, the costs to run them comes out and it's under a dollar per domain. And you're comparing .COM an original gTLD to country code TLDs, which are owned by countries. Countries that can make their own rules and charge their own prices.
This sounds more like an ad for your own project than a constructive comment to be completely honest.
The purpose of a reviewer is to provide the reviewer's feedback on a paper. If the editor wants to get feedback from an LLM, they are perfectly capable of doing so themselves. There is an attribution chain here that may not be terribly relevant in the short term but in the long term is a big deal.

Historically, we speak of "plagiarism" as being something you do against human text, because human text is all there was. But I would suggest that most of the issues with plagiarism are actually around misattribution, which means that it is perfectly sensible to speak of "plagiarizing" an AI. The AI may not be victimized, but victimization is not the only issue with plagiarism and most or all of the rest of them apply here. It matters over time where the text comes from. Even if the text of the review is high quality, in order to tune the editor's own tracking of reputation they need to know if it is from a human reviewer, GPT-1, GPT-7.5, or NotGPTAtAllSciAI-2026.

This is especially true in this case, because the entire point of a reviewer's review is that they are doing something the editor is not supposed to be doing! If the editor has to do a deep due diligence on all reviews, the reviewer are failing to provide any value as the editor might as well directly review the paper in question. So reputation is not something we can just wave away with "well if it was a good review it doesn't matter"; trust is a huge deal here. The editors need reviews to be properly attributed. Even if they are fine with AI reviews they need to know they are from AIs, and as I said, which AIs.
> Stating there is no free will does mean we can predict everything you'll do

You can only predict it after you've run the simulation once, and after you have let the simulated person do what they want to for the first time. During the first run, free will is unpredictable.

Only after you have run it can you say "if I run the simulation again with the exact same parameters, I know what they will do next".

And if you find a way to create a faster version of the simulated person algorithm, then the problem just devolves to the faster version. How can you predict what the fast-free-will person will do before you let it do what it wants to do? And so on.
driving every day is more dangerous than not driving every day. job is basically saying take a small chance to be injured every day that we don't have to insure to keep your job.
> Why isn't the code for something as mission critical as a car not written right before it was shipped?

We OTA spacecraft. We update planes’ software as part of maintenance. We have never written software once. We just accepted the bugs and defects as part of the product’s basket of tradeoffs, marvelling when the occasional manufacturer got it right in the first manufacturing runs.

> never needed an ECU update on a car before?

There were always weird bugs associated with models that you learned to deal with, or a tendency towards certain failure modes. In extreme cases we recalled.
This is from August, c'mon
>I've heard people joke that AI is just matrix multiplication

Not sure where the joke is, today's deep learning based AI models are literally matrix multiplications with learned weights.
python + flask, mysql/mariadb, bootstrap, jquery
Many socially liberal policies, by nature of caring for people or building new things, require funds that fiscal conservatives might not like, so it depends on your balance of each.
I mean the prompt/knowledge files shouldn't be considered propeirtary right? Only the model.

In fact, if i'm using random "GPTs" created by people, the prompt at least should be public.
There's a chart "How Electrified Powertrains Compare" which shows "Problems compared to gasoline-powered vehicles." You might be surprised to see that in fact EVs fare significantly worse than ICEs. I'd wager that they're mostly newer designs that naturally have bugs but instead of making modest changes to the car design in a new model, they're making significant/sweeping changes.
If that's copyright washing so are Cliff's Notes.
> There was a reddit thread this year where someone asked "what brand would you tell everyone to avoid", and it was a pretty unanimous "Toyota wins."

Interesting, as I was under the assumption that Toyota and Honda were the cheapest to repair.
Surely Toyota didn't win "most avoided", but rather most recommended?

But same re. infotainment. I have a suction cup MagSafe charging mount for my 2004 4Runner and I patched a bluetooth receiver into the stock head unit. Nothing better than that glorious amber glow when driving late at night. LCD's are blinding by comparison.

Plus this way I don't ever have to enter the iPhone's crippled CarPlay navigation mode, or really deal with CarPlay ever. I just use the phone the same as any other time, no new UI or "safe driving" features to obstruct me.
Often times "Reliability" is calculated as "fraction of cars that have a recall or other unscheduled maintenance during the initial N months of ownership" and I believe Tesla is actually quite high in this regard?

https://www.jdpower.com/business/press-releases/2023-us-vehi...
In popular culture, TS takes on a different different meaning
It is really disappointing to me when I hear takes like this. As an industry we are splitting the roles of programmers and engineers so that programmers can just throw spaghetti at the wall and it is the engineers problem to happily run it.

We need more well rounded people that also fundamentally understand how their code is executing on the backend so performance and cost can be optimized.
Alternatively

https://news.ycombinator.com/item?id=38463579
Does that number include new ways of doing things? For example, more decentralized generation/storage?
Isn't Mini BMW?
I wish this had a built in rate limit, I wanted to hit an api with lots of test data, I didn't need to actually wait for the response and I didn't really care how long they took.

I just needed to limit how fast the http requests went.

I guess I could do this with the delay and calculate how long it would need to wait.
The geography of technological innovation dynamics
That's an interesting anecdote. I had no idea mid-sized companies were working with cities like that.
This article is nonsense. Microsoft intentionally made it hard and expensive for innovative companies to try and deliver Windows as a service through a browser for years. They didn’t want to hurt their lucrative OEM licensing business. This made it a thing for enterprise customers.
There's also whether people ignore warning signs or not.
I previously had a long-term rented Ford Focus via Canvas (which is no longer around). There were lots of issues with it. A bumper valence that had some screw holes that had expanded and would fall off if only 1 additional screw failed. They were unwilling to fix it, and it did in fact fall off on the highway later due to their unwillingness. Tire treads had almost worn bald, they were also unwilling to fix it until a flat actually happened. Car idled at high RPM, I told them about it, they were unwilling to do anything about it, and the engine started stalling on the highway a few months later.

Almost every single problem with the car had a warning sign that I had told them well in advance, but they were always unwilling to do anything about it.

If you do your due diligence by taking action at every warning sign (strange noise, RPMs not the usual value, etc.) a LOT of "reliability" issues would not happen in the first place. A car is a fast-moving piece of mechanical equipment and needs regular servicing.

Don't do what doctors do and "wait till shit happens" to diagnose you so that they can make a buck off of you in the hospital. Prevent shit.
Keep It Light
A short meditation on packing light for travel
I think the overwhelming majority of people (and not just us white devils) would disagree with you. We want to end discrimination by not discriminating, not discriminating in a way you think is good.
Jack and Jacques have a different "J":

https://en.wikipedia.org/wiki/File:Fr-Paris--Jacques.ogg
For anyone confused, this comment was posted on a dup that included such a table, and the comments were moved here: https://news.ycombinator.com/item?id=38462681

The table isn't on this post.
> “Mark my word, if and when these preachers get control of the [Republican] party, and they're sure trying to do so, it's going to be a terrible damn problem. Frankly, these people frighten me. Politics and governing demand compromise. But these Christians believe they are acting in the name of God, so they can't and won't compromise. I know, I've tried to deal with them.” -Barry Goldwater

Goldwater called it thirty years ago. That's exactly what happened, especially in the last few years.

It'd be one thing if there were any more free market (small "c") conservatives left to compromise with. All that remains in the GOP are the religious and Q-anon factions that genuinely believe that Democrats are Satanists and child molesters. These people expect total capitulation because they think god is on their side and that is not compromise in any sense of the word.

They're not even fit to govern with total control of three branches as shown during the first half of Trump's term, let alone compromise when they're in the opposition. The recent shitshow with the Speaker of the House election and the constant brinkmanship with the budget are just the latest symptoms of their degeneracy as a functioning political party. They can't even compromise within their own ranks because their religious fervor has turned terminal.
Shocking that Tesla is middle of the table.
Hardly. Perhaps you're confusing with the costs of a transition to a carbon-free grid. That will cost trillions up front but save even more trillions over time.

Electric vehicles will add 20% to our electric energy requirements, but a lot less than 20% to our power requirements. Peak power is ~6PM during times of extreme weather. Some cars are being charged at that time, but most are charged overnight.