Other commenters laughing at you for the price... It's not about the price it's about the barrier. Even if I love a service, I won't get very many people to try it if they need to enter a credit card.
If entering a credit card is too much you probably aren't a potential customer. Part of keeping a service low cost is keeping services efficient. Having a large pool of people using it for free who will never become customers will force the cost higher for those who do pay.
Good riddance to the "free" model. It's never actually free. You either pay with your data, or have to consume ads, or you're forcing other customers to pay for your free usage.
Almost all technological choices I made as a teen were driven by "what hosting can I get for free, as my parents sure as hell won't put down their payment information for that". Back then that usually meant PHP and a max. 50MB MySQL.
I have been the service provider who had to paywall just to stop the spammers and you're right. But it's also true that kids will be collateral damage (or anyone without a credit card).
In my case, and it was the 90s, I took the time to setup a way to pay by calling a premium (1-900) for $1.49 number so the barrier to entry even for kids was still reasonable.
Maybe in modern day the equivalent is adding Google pay and Apple pay then you cover some kids at least (gift cards and such).
Quite the hassle for the provider, and it will turn away any person who cares about privacy. There's no way to win anymore.
I get that credit cards are a barrier of entry but I’m more willing to give providers a break now that AI agents make it much easier to abuse free tiers. It’s also harder for smaller companies to offer free tiers. If we want a more diverse set of service providers we as customers need to be willing to accept some trade-offs.
I seem to remember that's one of the first things they tried, but the general models tended to win out. Turns out there's more to learn from all code/discussions than from just JS.
From my own empirical research, the generalized models acting as specialists outperform both the tiny models acting as specialists and the generalist models acting as generalists. It seems that if peak performance is what you're after, then having a broad model act as several specialized models is the most impactful.
Indeed, Python's version format is semver but it's just aesthetics, they remove stuff in most (every?) minor version. Just yesterday I wasted hours trying to figure out a bug before realizing my colleague hadn't read the patch notes.
Well, I've worked as a developer in many companies and have never met a DBA. I've met tons of devops, who are just rebranded sysadmins as far as anyone can tell.
Imagine this for a whole neighborhood! Maybe it'd be more efficient for the transport to come at regular intervals though. And while we're at it, let's pick up other people along the way, you'll need a bigger vehicle though, perhaps bus-sized...
Half-jokes aside, if you don't own it, you'll end up paying more to the robotaxi company than you would have paid to own the car. This is all but guaranteed based on all SaaS services so far.
This only works in neighborhoods that are veritable city blocks, with buildings several stories tall standing close by. Not something like northern Houston, TX; it barely works for places like Palo Alto, CA. You cannot run buses on every lane, at a reasonable distance from every house.
The point of a car is takes you door to door. There's no expectation to walk three blocks from a stop; many US places are not intended for waking anyway. Consider heavy bags from grocery shopping, or similar.
Public transit works in proper cities, those that became cities before the advent of the car, and were not kept in the shape of large suburban sprawls by zoning. Most US cities only qualify in their downtowns.
Elsewhere, rented / hailed self-driving cars would be best. First of all, fewer of them would be needed.
Also, a real nightmare for the municipal trade unions. (Do you know why every NYC subway train needs to have not one but two operators, even though it could run automatically just fine?)
Huh. I wonder if that makes any sense. It doesn't seem to make sense to keep employing people if you no longer need them. It sucks to be layed off, but that's just how it works.
It also shows a lack of imagination. If you have to provide a union with a job bank, why not re-deploy employees to other roles? With one person per train, re-deploy people to run more trains therefore decreasing the interval between trains. Stations used to have medics but this was cut. How about re-train people to be those medics? The subway could use a signaling upgrade and positive train control. Installing platform screen doors to greatly reduce the incidence of people falling onto the tracks is going to need a lot of labor.
Mass transit is a capacity multiplier. If 35 people are headed in the same direction compare that with the infrastructure needed to handle 35 cars. Road capacity, parking capacity, car dealerships, gas stations, repair shops, insurance, car loans.
First, these cities should be fixed by removing the traffic magnets. It's far past the point where we used the old obsolete ideology of trying to supply as much traffic capacity as possible.
But anyway, your statement is actually not true anywhere in the US except NYC. Even in Chicago, removing ALL the local transit and switching to 6-seater minivans will eliminate all the traffic issues.
Car traffic magnets like highways inside urban cores? Or people traffic magnets like office buildings, colleges, sports stadiums, performing arts venues, shopping malls?
Large stadium arenas are a special case, but they don't create sustained traffic, and their usage periods typically do not overlap with the regular rush hour.
> if you don't own it, you'll end up paying more to the robotaxi company than you would have paid to own the car
Maybe for you, I already don't own it and have not found that to be true. I pretty much order an uber whenever I don't feel like riding my bike or the bus, and that costs <$300 most months. Less than the average used car payment in the US before you even consider insurance, fuel, storage, maintenance, etc.
I also rent a car now and then for weekend trips, that also is a few hundred bucks at most.
I would be surprised if robotaxis were more expensive long term.
Focusing only on price, renting a beafy shared "cloud" computer is cheaper than buying one and changing every 5 years. It's not always an issue for idle hardware.
Cars are mostly idle and could be cheaper if shared. But why make them significantly cheaper when you can match the price and extract more profits?
Cars and personal computers have advantages over shared resources that often make them worth the cost. If you want your transport/compute in busy times you may find limitations. (ever got on the train and had to stand because there are no seats? Every had to wait for your compute job to start because they are all busy? Both of these have happened to me).
Yep. And it's indeed a good model for this mode of transportation. And they ARE cheap.
For example, in Seattle I can get a shared airport shuttle for $40 with the pick-up/drop-off at my front door. And this is a fully private ADA-compliant commercial service, with a healthy profit margin, not a rideshare that offloads vehicle costs onto the driver. And a self-driving van can be even cheaper than that, since it doesn't need a driver.
Meanwhile, transit also costs around $40 per trip and takes at least 1 hour more. And before you tell me: "no way, the transit ticket is only $2.5", the TRUE cost of a transit ride in Seattle is more than $20. It's just that we're subsidizing most of it.
So you can see why transit unions are worrying about self-driving. It'll kill transit completely.
you made too many false assumptions if you came up with those routes. Experts have run real numbers including looking at what happens in the real world. https://humantransit.org/category/microtransit - (as I write this you need to scroll to the second article to find the useful rebuttal of your idea)
Yeah, yeah: "Major US Public Transit Union Questions “Microtransit”" Read it. Go on. It's pure bullshit.
The _only_ issue with the old "microtransit" is the _driver_. Each van ends up needing on average MORE drivers than it moves passengers. It does solve the problem of throughput, though.
But once the driver is removed, this problem flips on its head. Each regular bus needs around 4 drivers for decent coverage. It's OK-ish only when the average bus load is at least 15-20 people. It's still much more expensive and polluting than cars, but not crazily so.
This article is just a bunch of propaganda. You can tell that by the picture with people in the shape of a bus next to the line of cars. Every time you see it, you can immediately blacklist the author and ignore whatever they are saying about cars.
Can you guess why?
Hint: think about the intervals between buses and how you should represent them to stay truthful. And that buses necessarily move slower than cars. And that passengers will waste some time due to non-optimal routes and transfers. And that passengers will waste some time because they need to walk to the station.
So back to my point, can you tell me EXACTLY what I should read in that article? Point out the paragraph, please.
That's how some people feel about airplanes. Presumably you're not one of them. For some people, the inconvenience of being responsible for a car would outweigh the benefit of setting up their stuff inside of one.
It's not even an inconvenience. I like my cars. Dealing with ride hailing services (autonomous or not) is certainly far more inconvenient than owning a car (unless maybe you're stuck living somewhere without convenient parking).
> Let's say, just for the sake of argument, that AI can eventually serve to level the playing field for everything. It outputs novels, paintings, screenplays - whatever you ask it for - of such high quality that they can't be discerned from the best human-created works.
This requires the machine to understand a whole bunch of things. You're talking about AGI, at that point there will be blood in the streets and screenplays will be the least of our problems.
I'm not sure you need AGI to clear that bar; I'm not sure you need more technology than currently exists beyond iterative improvements to things like how expensive it is to train a model.
But let's say it's free-ish to train a model, so you decide that that's how you're going to write the next Marvel movie. You train an LLM specifically on screeplay writing, teaching it to cross reference literary techniques with audience reaction, you teach it the sum total of Marvel canon, you teach it the sum total of the American cinema canon, you train it on all the social media reaction to either, and so on. You teach it to specifically engineer screenplays for Marvel movies that Marvel audiences will do maximum Marvel fanboy shit about. Do you genuinely believe such a dedicated model couldn't output a Marvel movie that everyone would love as much as Endgame?
Obviously, in the economy of 2026, it is cheaper for Disney to hire flesh-and-blood writers instead of doing this madness. But one day it won't be - and this is hardly even the tip of the iceberg. The ability to finely hone models quickly and on-demand (potentially on a per-prompt basis) would unlock another tier of accuracy and performance from LLMs, and for some/most artistic tasks, I think that gets you to "indistinguishable from mass market media."
Marvel movies is the worst example, it's a roller coaster ride, not a movie. I agree any braindead idiot or machine could write one. But they couldn't know to write The Pianist or how the subject could be approached or why it's time to write it.
AI can make slop yes, but it can't make the kind of art people don't get tired of. It's the difference between wisdom and knowledge.
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