Shitty-kitty

A shitty developer can create a far worst experience on react then on native.

Easier to support one more aspect-ratio then two.

Unless these things start selling like hot-cakes (unlikely at the price) a lot of developers just might not bother.

A lot of people will look at this and say. Eh I already have an Ipad and a Imac why do I need a phone with such a large screen.

Their selling point is: Not having to switch from one app to another when Multitasking.

The drivers for D3D and Vulkan are separate, so supporting both opens you up to a whole new slew of bugs.

Mesa is largely an Umbrella. While some of the code is shared by in large, AMD works on radv, intel works on vulkan-intel and of course Nvidia work's on its own proprietary driver rather then very limited NVK.

Many games are first released on PC and only ported if they get big enough. So there are no considerations for cross-platform support in the original development.

More likely, it crawled-thru Construction permit listings.

When a game glitches because of a driver bug, its the game developer that gets the bug reports (and the heat) and often has to isolate the problem to convince the gpu driver-team to fix it.

You may note that I specifically said "PC game developers" Your whole but consoles argument, completely misses the mark.

Optimization and bug hunting makes supporting multiple graphics api's a pain. I really don't understand Apple's stubborn refusal to make vulkan drivers. Between Apple and the better performance on SteamDeck, I can see PC game developers seriously considering Vulkan over directx.

You are wrong about why open-source projects are banning AI contributions. While vibe-coded slop is obviously a pain, many are banning even their own well-known contributors from using A.I to write large parts of code due to legal concerns.

I'm sure the patent/copyright trolls care a lot about the "industry." It is still the early days but eventually they will come on knocking.

The problem often stems from the Patent Offices getting caught flat-footed with new tech. When the patent officers don't know enough about the field they are reviewing it is easy for things which are "obvious to experts in the field" or "overly broad" to slip thru and cause major headaches for everyone.

You don't know what code the A.I has been trained on. It may very well be reproducing actual Copyrighted material it has been trained on.

This is the major reason why most large open-source projects are banning big code contributions made with A.I

A patent is meant to encourage people and companies to share the details of their inventions, instead of keeping them secret. In return the inventors get protection for a certain number of years.

My wife and I both eat the same healthy Mediterranean diet (born in the region) Yet she is obese. Her body simply doesn't send the "that's enough" signals when it should and she overeats. It is possible to get get fat on a healthy diet, it is just easier with high calorie junk.

Complications of obesity such as gout were considered "Diseases of affluence" The vast majority suffered from "diseases of poverty"

An ion is a atom that has lost electrons and thus it has a + charge. The electrons are the - charge. The electrolyte allows + to flow but not -

Careful with UBI. What they are thinking is reshuffling/re-branding Medicaid/Food Stamps/Housing voucher, etc, into one lump sum that just like the current welfare, will barely be enough to keep you alive.

Getting an idea out there quickly and cheaply is definitely a good use for AI. In the context of the original op, this is not putting any developers out of work. Quite the contrary, if the idea takes off then you will probably want to make a proper implementation with a carefully thought out UX.

What is you opinion of U.I "designed" by someone without UX experience, thru prompting. Most likely you cringe at how bad they are, as do the reset of us.

Similarly, programmers have a name for code generated without a coder guiding and reviewing, A.I slop.

Vibe coding by people with no programming skills is not going to happen. What will happen is moving to higher and higher code representations. A compiler is already doing 99% of the actual coding when you realize that the only language computers understand is assembly.

Imagine AI during the Cuban missile crisis telling both sides, the other is about to launch a first strike. The USSR is gone but China is only getting stronger and more confrontational.

It is important to note that in China, developmental delays are treated with ridicule for the affected and as a source of shame for the families.

I'm not passing judgment on the parents, I'm just pointing out that how society treats developmental delays is extremely important to the quality of life of these people.

Here in the US autism was considered a "mental illness" until the 1980's.

The point is because they are all identical they should not be compared to the "average," a pool of good and bad drivers but rather good drivers alone. Unless you mandate "no more humans on the road" is is not the speed-daemons and lane-cutters that will choose automated cars.

Each human is different so we treat them as separate entities. Machines, by design are cookie-cutter copies. If one Waymo did something horribly stupid, then all Waymos would have done that exact same thing in that situation.

I would take Anthropics "Theoretical limits of A.i" sales brochure, with a very large grain of salt.

It could also be that saying "wondering the desert" sounds better to a farming population then "they lived as nomads."

The problem is that they are building these wherever they can without any consideration for how they are affecting the communities. The noise concerns are common because they build them in areas without enough electric capacity. The water concerns are real, not because of some paper or because the water usage is incredibly high but again because they built them in locations that don't have enough of that resource. The tax subsidies were negotiated in bad-faith, essentially lying about the number of permanent high-paying jobs they bring.

Of course, that's money that is not going to go to slowing global warming.

Even rural localities in blood-red states are opposing datacenters. Noise, water electricity usage coupled with few permanent jobs and little tax-income due to subsidies have made them unpalatable to many.

Humans are more likely to make small mistakes but the internal consistency check is pretty good at catching large errors. On top of that, fudging numbers to make everything add up is not something humans do (not unintentionally at least)

The problem with LLM's is that they could work correctly for months and years and then do something egregious which will will go unnoticed because of the misplaced trust one develops on a system that "just seems to work." Get flagged for an expensive audit and there go all the savings and then some.

That's exactly what the LLM seems to have done as well. The problem is that we want and even expect the A.I to be truthful.