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Unfortunately that’s not unique to Microsoft. It’s a fundamental tug of war between the pushback from consumers and the worst ideas and misaligned incentives in an organization

MacOS has had the same ping-pong between good and bad releases, with the latest being particularly poor. Same with video games: one patch brings great fixes, the next introduces absurd cosmetics or a P2W mechanic.


When was the last time Linux pingponged between quality and trash?

For consumers, it's neither been quality nor trash. They just don't think about it.

I think this tension arises from the commercialization of a consumer product. If consumers and product managers aren't pushing the product in all these different directions, there aren't issues. "Pro" software doesn't face these issues either - Resolve, Photoshop, SolidWorks, Excel; but consumer-oriented spinoffs do. Apple's attempt to consumerize FinalCut was poorly received at launch.


That's typical of my experience with all of these stock-aggregator sites. Either the best price is some dodgy or outright fake storefront, the item's OOS from the real vendor, or the price is out of date.

Trying to buy things like GPUs or SSDs are a joke. I really wish even one vendor would just implement an actual waiting list, locked to an account with a verified address and purchase history. I'm fine to wait for my purchase, but having to race bots for a lottery ticket purchase is a pain.


That's like the argument about how we'll never (or should never) have self driving cars.

Clearly human-run ATC results in situations like this, so the idea that automated ATC could result in a runway collision and should therefore never be implemented is bad.


It's not an argument for total automation but an argument for machine augmentation. It would be fascinating just as an experiment to feed the audio of the ATC + flight tracks [1] into a bot and see if it could spot that a collision situation had been created.

You obviously wouldn't authorize the bot to do everything, but you could allow it to autonomously call for stops or go-arounds in a situation like this where a matter of a few seconds almost certainly would have made the difference.

Imagine the human controller gives the truck clearance to cross and the bot immediately sees the problem and interrupts with "No, Truck 1 stop, no clearance. JZA 646 pull up and go around." If either message gets through then the collision is avoided, and in case of a false positive, it's a 30 second delay for the truck and a few minutes to circle the plane around and give it a new slot.

[1]: https://www.instagram.com/reels/DWOQ8UhgoQR/


I'm not well-enough versed in HMI design or similar concepts, but I think this idea for augmentation could collide with alarm fatigue and the disengaged overseer problem in self-driving cars.

If we aren't confident enough in the automation to allow it to make the call for something simple like a runway incursion/conflict (via total automation), augmentation might be worse than the current approach that calls for 100% awareness by the ATC. Self-driving research shows that at level 2 and level 3, people tune out and need time to get back "in the zone" during a failure of automation.


> could collide with alarm fatigue and the disengaged overseer problem

Depends both on the form the "alarm" takes as well as the false positive rate. If the alarm is simply being told to go around, and if that has the same authority as a human, then it's an inconvenience but there shouldn't be any fatigue. Just frustration at being required to do something unnecessary.

Assuming the false positive rate were something like 1 incident per day at a major airport I don't even think it would result in much frustration. We stop at red lights that aren't really necessary all the time.


Depending on how late the go-around/aborted landing is triggered, that can be a danger in itself. Any unexpected event in the landing flow has a risk, to the point that there's a "sterile cockpit" rule in that window.

Even if it's just a warning to the ATC, distracting them and forcing them to reexamine a false positive call interrupts their flow and airspace awareness. I get what you're saying, that we could err on the side of alert first, out of precaution; but all our proposed solutions would really come down to just how good the false positive and false negative rates are.

BTW, stopping at a red light unnecessarily (or by extension, gunning it to get through a yellow/red light) could get you rear ended or cause a collision. Hard breaking and hard acceleration events are both penalized by insurance driver trackers because of that.


I'm assuming there that any such system would be appropriately tuned not to alert outside of a reasonably safe window. My assumption is that it would promptly notice the conflict following any communication which under ordinary circumstances should leave plenty of time to correct. To be fair I don't expect such a system would address what happened in this case because as you note false alarms on too short a notice pose their own danger which may well prove worse on the whole.

This specific situation I think could instead have been cheaply and easily avoided if the ground vehicle had been carrying a GPS enabled appliance that ingested ADS-B data and displayed for the driver any predicted trajectories in the vicinity that were near the ground. Basically a panel in the vehicle showing where any nearby ADS-B equipped planes were expected to be within the next 30 seconds or so.

> stopping at a red light unnecessarily

Is it not always legally necessary where you live? It certainly is here. When I described them as unnecessary I was recalling situations that would clearly be better served by a flashing yellow.


Yeah, I think there's certainly optimizations possible. Listening to ATC traffic, I'm surprised just how much of the ground ops stuff could be computerized: basically traffic signals for runways.

What you're describing almost sounds like TCAS, a collision avoidance system for planes in the air, and would be a good idea.

As for the redlights, yes, legally you would be required to stop if you're before the stop line. My language wasn't clear, as I was trying to describe those scenarios where a light's turning just as you're getting to/into the intersection. Some people will gun it to get through, others will jump on their brakes to not run what's technically a red.


Valid concern. Ultimately, the ideal would be to have commentary from professionals in the space to say what it is that would be most helpful in terms of augments.

In doctor's offices it was easy, just listen to the verbal consult and write up a summary so doc doesn't spend every evening charting. What is the equivalent for ATC, in terms of an interface that would help surface relevant information, maintain context while multitasking, provide warnings, etc, basically something that is a companion and assistant but not in a way that removes agency from the human decision-maker or leaves them subject to zoning out and losing context so they're not equipped to handle an escalation?


There is such a bot and it is installed in LaGuardia Airport. The system is called Runway Status Lights, and it was supposed to show red lights to the truck. And the truck was supposed to stop and ask the controller: “If an Air Traffic Control clearance is in conflict with the Runway Entrance Lights, do not cross over the red lights. Contact Air Traffic Control and advise that you are stopped due to red lights.” https://www.faa.gov/air_traffic/technology/rwsl

That is how it is supposed to work. How did it work in reality is an other question of course, and no doubt it will be investigated.


Truck 1 took too long to go through the runway. They had time to

> That's like the argument about how we'll never (or should never) have self driving cars.

The reason we won't ever have self-driving cars is that no matter how clever you make them, they're only any good when nothing is going wrong. They cannot anticipate, they can only react, too slowly, and often badly.


They absolutely could anticipate, and arguably with more precision than people. The common occurrence of collisions when making left turns at an intersection shows that people's ability to anticipate is fallible too: people can't even anticipate that car driving towards them will continue to do so.

Self driving cars' reaction times aren't slowed by drugs, alcohol, or a Snapchat notification pulling their attention.

Current systems haven't been proven in all weather conditions and all inclement situations (ie that tesla collision with a white semi-trailer), but it's crazy to say that self-driving cars won't match or exceed human drivers in terms of safe miles driven. Waymo has already shown an 80 to 90% reduction in crashes compared to people.


> Waymo has already shown an 80 to 90% reduction in crashes compared to people.

Compared to unsafe people. It's an important caveat though I agree with the larger point you're making.


Can you clarify what you mean by unsafe? From what I can tell from the study, they're comparing to a human benchmark - basically the "average" driver, not a cherrypicked "bad" driver cohort.

Just as with wealth the average is drastically skewed by outliers. I don't recall precise numbers off the top of my head but there are plenty of people who have commuted daily for multiple decades and have never been in a collision. I myself have only ever hit inanimate objects at low speeds (the irony) and have never come anywhere near totaling a vehicle; my seatbelts and airbags have yet to actually do anything. Freight drivers regularly achieve absurd mileage figures without any notable incidents.

As I stated earlier I agree with the broader point you were trying to make. I like what they're doing. It's just important to be clear about what human skill actually looks like in this case - a multimodal distribution that's highly biased by category.


Yeah, I agree with you too. Per IIHS, the fatality rate per 100,000 people ranged from 4.9 in Massachusetts to 24.9 in Mississippi, so clearly there's a huge variance even with "US population".

The other person's comment was "we won't ever have self-driving cars" because they aren't good enough: but something like Waymo already is, particularly for the population. If we waved a wand and replaced everyone's car with a Waymo, accident rates would fall, at a population level and at a per-mile driven level.

It's even tough to see that a Waymo would be more dangerous for a good driver: they too have never been the cause of a serious accident and have certainly driven more miles across the fleet than any human driver. All 4 serious injury accidents and both fatalities were essentially "other driver at fault, hit Waymo".

This isn't meant to glaze Waymo, but point out that self-driving cars in certain environments are "solved". They're expensive, proprietary, aren't suitable for trucking or deployment to cold climates (yet?); but self-driving that is safer than people-driving is already here. To your point: human skill in driving is variable: Waymo won't replace Verstappen right now, but just like the AGI argument with LLMs, they're already "smarter" than the average person in certain domains.


Right up until it protects you out of a job, like California’s fast food minimum wage: https://www.nber.org/system/files/working_papers/w34033/w340...

This paper has not been peer reviewed and is written by a conservative leaning academic. I'm sure you knew both of those things though

Is your position that making fast-food labor more expensive increases fast food employment? Because that's really a unique take.

I mean, yes, trivially? That only hinges on two factors: what share of a fast food business' overall expenses actually go to labor costs, and, y'know, how much extra demand is enabled by ensuring even the poorest workers make enough to afford fast food once in a while.

Takes like yours used to baffle me, until I realized that the US was founded on enslaved labor and to this day there remains a silent expectation in some circles that there must be a laborer class which should be as inexpensive and disposable as possible, and is fundamentally distinct from the consumer class. A lot becomes clearer all at once when you realize that to some, there's a whole segment of the population that is not expected to benefit from the economy, only serve it.

Historically, such worldviews have in the long term tended to bring sharp misfortune to those holding them. I'm hoping for a better outcome here, though.


Fast food workers are included in the consumer class.

As for slavery, the poorly educated believe that it was a uniquely American phenomenon. Slavery was a global institution practiced by every civilization, nation, and culture on earth. In fact, it’s still alive and well in multiple places. The US abolished it fully in 1865. Products produced by slaves accounted for around 15% of our GDP at its peak.

You learned something today. I’m proud of you.


It’s a solid paper. Are you able to put aside your irrational biases and consider other views?

Long hours? Teachers work the same hours or less than other adults per “New Measures of Teachers’ Work Hours and Implications for Wage Comparisons” by West.

“Teachers work an average of 34.5 hours per week on an annual basis (38.0 hours per week during the school year and 21.5 hours per week during the summer months).”

That’s leaving out the benefits of incredibly strong union protections, it being a state job with matched benefits, absurd job security even in the face of terrible performance, etc.


There's no way these numbers can be correct. My school was 8 am to 3 PM, that's 35 hours a week right there for full time teachers. But teachers spend many more hours outside the class preparing lessons, grading work, and following up on things. If you even spend a week teaching something you quickly realize how much extra prep work goes into it.

From the study: "Teachers work more than they are required to work by contract, but less than self reported hours of work. I find that teachers are more likely to overestimate their hours of work in the CPS than workers in other occupations, and conclude that this is likely because of an uneven work year".

Even by your own example, you're only at 35 hours a week, and that's before you subtract out the weeks of summer vacation, winter vacation, spring break, etc; where the workload is certainly far less than 40 hours a week.


Wait-- I think you are confusing "teachers" with "police officers".

“ benefits of incredibly strong union protections”

Lol, try saying that to an alaskan teachers face and watch yourself get slapped for the absurdity of the claim.


The Alaskan teacher's union is ranked 15th overall in the US [1]. I'm betting they're just fine, and that any issues are more general "Alaska-problems" than anything specific to teaching, unions, etc.

https://fordhaminstitute.org/national/research/how-strong-ar...


Lol; perceived influence is one of the 5 domains being analyzed. That has nothing to do with the protections offered to AEA members in AK.

Nonsense research showing how crappy academic research has become


And ignoring that the other four factors are: Resources and Membership, Involvement in Politics, Scope of Bargaining, and State Policies, shows that you just want something that agrees with your anecdote.

Why are teachers special to merit any "protections" that aren't afforded to all employees, public or private?


Reading the report, i see that it's from 2012. My dude, you are way off base to begin with, not to mention 15 years out of date. And things have changed significantly. regardless:

1) Resources and Membership: Membership is essentially compelled, and the resources of the union rarely support member teachers. Three of the anchorage teachers in my life say their union reps are useless and they have little agency in rectifying the problem.

2) No comment: Politics in AK is FUBAR, and as an aside I imagine less gets spent on politics because we all know the oil companies own it all.

3) "Alaska education leaders value bottom-up decision making (see sidebar);" Absolute nonsense. Decision making is almost entirely dominated by outside economic concerns and the behavior of the state and federal government from year to year. I say this as someone whose brother has participated in nearly every union negotiation for the last 20 years at ASD.

4) Irrelevant to the livelyhood of alaskan teachers, AFAICT

> Why are teachers special to merit any "protections" that aren't afforded to all employees, public or private?

Teaching in public school, like serving in the military or working in emergency services, is a career that we should maintain for the well-being of our country and citizens. If teachers cannot earn a living wage -- to have the basic dignity of owning a home and raising a family should they want to -- then we are worse off as a country over time.

To be clear, I am biased here. I started my career working for ASD, have lots of family that work for ASD in both admin and teaching, and many friends directly involved in education in Alaska. Public education in Alaska is a shit show, and seems to be on the an accelerating downswing since covid. The unions aren't helping the situation either, hence my opinions.

The only thing that report does for me is show that our metrics for what makes a good teachers union or a strong teachers union are wrong.


This is totally leaving out the supply and demand aspect. People like the idea of making games more than working on the plumbing of some accounts payable software, so Blizzard can pay less and treat worse than NicheBoringFinanceCo.

The parent comment is describing supply and demand. If Blizzard attracts a larger supply of workers who will accept lower pay and worse conditions because they intrinsically want the job, Blizzard gains leverage. That is exactly why studios like Blizzard can get away with more than “NicheBoringFinanceCo.”

If an “industry’s labour [is] supplied only by those inherently passionate about it” the post says it would “crush wages and working conditions”.

That runs completely counter to the basics of supply and demand in a perfect competition market. It would be market with far fewer (labor) suppliers, who could therefore command a higher wage, not lower.


You are only looking at supply. Neither supply nor demand by themselves adequately describe prices (even in supply-demand 101 theory; in practice of course it gets significantly more complicated than just supply and demand). There are fields with few suppliers where supply is extremely cheap and fields with few suppliers where supply is extremely expensive.

Is the number of suppliers low because demand is also low or is the number of suppliers low because demand is high but supply is constrained?

A field that previously had a supply of labor in it "for the money" who all leave is indicative of the former scenario not the latter.

That does not lead to higher wages. That leads to low wages.

(There are a variety of reasons why this story is too simple and why I remain uncertain about developer salaries in the short term)

There is a broader question of whether having people who are in it for the money leave independently "causes" wages to go down (e.g. if you were to replace all such people with people "purely in it for the passion"). My suspicion is yes. Mainly because wage markets are somewhat inefficient, there are always mild cartel-like/cooperative effects in any market, people in it for passion tend to undersell labor and the people in it for the money are much less likely to undersell their labor and this spills over beneficially to the former.

Note that this broader question is simply unanswerable assuming perfect competition, i.e. a supply-demand 101 perspective (which is why it doesn't make sense to posit "perfect competition" for this question).

It posits durable behavioral differences among suppliers that are not determined purely by supply and demand which do not update reliably in the face of pricing. This is equivalent to market friction and hence fundamentally contradicts an assumption of perfect competition.


The only way the people who are only in it for the money leave the industry is if the money gets worse. If the money stays the same why would they leave

Except that there are a LOT of people that want to work in video games (which is the supply) which then depresses the price (wages)

All of my developer friends in the gaming industry have had far worse working conditions then what I've had.


To use your example of someone working on the plumbing of an accounts payable system, who is passionate about that? The supply is near zero. That, like most jobs, is going to need to be done entirely by people who are just doing it for the money, and there is nothing wrong with that.

Your example runs counter to the laws of supply and demand too. You understand that wages will rise when supply is restricted, but you don't want to accept that supply will respond to the price signal in the form of more people entering that job market.


> That, like most jobs, is going to need to be done entirely by people who are just doing it for the money

why then do they all have those interview rounds where you have to talk about what really attracted you to work at this boring company and how you would love to do that kind of work? They evidently haven't gotten the memo.


I have never once pretended to be “passionate” about working. Never wrote a single line of code that I haven’t gotten paid for since I graduated from college 30 years ago. I was a hobbyist before college for 6 years.

I’ve gone through the BigTech guantlet successfully. Even then I showed I cared about doing my job well and competently.

I have purposefully thrown nuggets out during interviews letting companies know that I had a life outside of work, I’m not going to work crazy hours and in the latter half of my career, I don’t do on call.


[flagged]


We've banned this account. We can't have vile comments like some of the ones your account has posted in recent days, without taking any action, if we're to have any standards at all here.

Let's consider how this could play out:

If you need a lot of low quality code in a hurry, AI can definitely do that for you now. The path to making money by writing mediocre code for people who don't really care that much is going to look like managing a network of bots that constantly spit out a huge volume of code that kind of mostly works and if it sometimes doesn't then whatever. The people in it for the money can probably make a decent amount in the "high volume low quality" space.

Then there's the code that needs to actually work, or have some thought put into it. Consider the process of writing IETF RFCs. Can you get an LLM to spit out English text that conforms to their formatting? Absolutely you can. Is the RFC it emits going to be something you'll want to have the whole world trying to implement as a standard? Not likely. So the people doing that are going to be doing it something closer to the old way.


I am kind of considering the idea of changing my LinkedIn profile to one of me with a 'wild rag', checkered shirt, and broad brimmed straw hat and calling myself a robot wrangler and see if I get any takers.

>plumbing of some accounts payable software,

As many of us in the early IT generation, I came because of I wanted to build games and program cool stuff.

Today, while I admit Games are supercomplex stunning apps, I hate it and I love to do boring finance app development :-))

If you would have told me in my 20ies that I will end up in banking & finance IT, I would have laughed at you - today I really like it and I do not play a single game anymore.


More because it's AI-slop that doesn't say much more than "government and big business bad".

I don’t see a trace of mark down or em dashes. I think maybe you’re perhaps a little too emotionally invested in politics


Firstly, I could care less about the regional politics of Hawaii's infrastructure. I was just answering why this was likely getting downvoted.

As for it being AI, GPTZero puts it at 99% AI. "Insolvency insurance" is used out of context, incorrectly mixing the financial metaphors he told the AI to use with the more-relevant idea of flood insurance (was insolvency supposed to be the AI's attempt at a pun around liquids?). There's the classic AI "it isn't X, it's Y" structure structure at the end. The whole thing reads as a prompt of "Recontextualize the potential flood caused by the failure of Wahiawa Dam in Hawaii through a lens of politics, business, and finance".

Markdown, em-dashes, and emojis were AI-slop 101 a year ago. You gotta keep up.


There is actually an em dash in there,

it isn't a disaster—it's the violent…


I didn't say there wasn't an em dash, but thought it was worth pointing out the totality of things that stuck out to me as AI evidence.

> disaster—it's

Alcohol should only be legal in pubs and bars; alcohol in Disney World, on planes, and in grocery stores is very problematic.

You probably meant it as a quip but alcohol in every grocery store and definitely on planes is problematic.

It genuinely is, and I’d sooner see regulation targeting it than someone’s multileg parlay. There’s a much clearer line between alcohol on demand and public misconduct or injuries from DUI, than gambling and a more nebulous societal harm.

I think you're being a bit dramatic

A lot of jurisdictions restrict alcohol sales to liquor stores for this very reason.

When people are stealing armfuls of Tide detergent or tools from Home Depot, it's clear they aren't stealing because a weak social net is preventing them washing their clothes. They're thieves, stealing for profit, end of story.

You're so close.

Is that feasible? The coding tools already unlock a ton of possibilities for people to create value, but people have to capitalize on it.

I have no clue what this would look like other than maybe an investment fund for people creating apps/businesses based on Claude tools.


It’s often lamented that some employees have a difficult case to argue for their impact on the bottom line, and as a result probably get paid a lower fraction of their value to the business than other roles where the link is easy to measure.

I can at least “imagine” a model that tries to crack this nut.


But your value to a company doesn’t just come from your impact, but how tough you are to replace, how much others value your skills, etc.

Nike’s logo designer was paid $35. One model says she should’ve gotten hundreds of thousands of dollars, because of what her work product went on to become. Another model of the value says it was worth $35 because that’s what she agreed to.

If, as an employee, you think you’re massively undervalued for the impact you generate, go out to the market and either get another job or start your own business making widgets - either you’ll get that pay bump you expect, or you’ll see you actually were relying on a lot of other supporting mechanisms to generate that value.


If this was all unequivocally true and the end of the story, then no one would make commission, and yet some do.

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