And this is still a large step in the right direction, because cheap hydrogen creates an incentive to develop hydrogen infrastructure, which increases the demand for hydrogen, and can help lay the groundwork for a future in which hydrogen is produced from renewable sources.
Also, steam reforming lends itself well to CCS, and as such it can be performed without carbon emissions.
Looking at a half circle and guessing that the “missing part” is a full circle is as much of a blind guess as you can get. You have exactly zero evidence that there is another half circle present. The missing part could be anything, from nothing to any shape that incorporates a half circle. And you would be guessing without any evidence whatsoever as to which of those things it is. That’s blind guessing.
Extrapolating into regions without prior data with a non-predictive model is blind guessing. If it wasn’t, the model would be predictive, which generative AI is not, is not intended to be, and has not been claimed to be.
I 100 % agree on your primary point. I still want to point out that a detail in a 4k picture that takes up a few pixels will likely be invisible to the naked eye unless you zoom. “Digital zoom” without interpolation is literally just that: Enlarging the picture so that you can see details that take up too few pixels for you to discern them clearly at normal scaling.
No computer algorithm can accurately reconstruct data that was never there in the first place.
What you are showing is (presumably) a modified visualisation of existing data. That is: given a photo which known lighting and lens distortion, we can use math to display the data (lighting, lens distortion, and input registered by the camera) in a plethora of different ways. You can invert all the colours if you like. It’s still the same underlying data. Modifying how strongly certain hues are shown, or correcting for known distortion are just techniques to visualise the data in a clearer way.
“Generative AI” is essentially just non-predictive extrapolation based on some data set, which is a completely different ball game, as you’re essentially making a blind guess at what could be there, based on an existing data set.
What you’re saying is true. I still want to point out that developing hydrogen infrastructure based on non-renewable hydrogen today, helps lay the groundwork for using primarily renewable hydrogen tomorrow, because we’re developing storage, transportation, and fuel cell technology.
Also: Methane can be produced from renewables, so developing steam reforming technology today, using non-renewable methane, helps lay the groundwork for renewable-based hydrogen production tomorrow.
Finally: Steam reforming lends itself well to CCS, so hydrogen production from renewable methane + CCS is a potentially viable path to a carbon-negative future.