"Something good" is subjective and your opinion. They make a lot of shows to appeal to all kinds of different audiences. I'm not sure why you'd conclude they would 'drag down' the quality.
I think your comment is proving the point. Trying to make shows appeal to all kinds of services is not exactly an approach to making high quality shows. Masses tend to converge to mediocrity. If you consider it an art form then it really needs to come from the production side and not the consumption.
Right but the production strands are all still their own thing. It's not like there's one big "Netflix Originals" meat grinder all the shows will get lumped into. The existence of reality shows on Netflix for example doesn't mean that they're going to be incapable of producing prestige dramas.
> why eyebrows stop growing and NOBODY ever thinks about it
If you clip your eyebrows, will they grow back to their original length? Or is there a process that generates an eyebrow hair and then stops after a pre-determined length of time (with periodic shedding)?
Every hair grows to a maximal length before stopping or falling out. It varies wildly based on genetics, location on the body, and body chemistry.
Animals evolved specialized hairs for different uses. Protection, warmth, display, your armpit hairs wick sweat and keeps your skin from rubbing. It's beneficial to have a system that keeps the specialized hairs in their optimal(ish) configuration and to replace hairs as they become worn and damaged.
I'm not sure how many actually use teleprompters, because it regularly bothers me how many public figures are staring at their notes on the podium throughout their speeches.
Mind you, I grew up in the handful-of-index-cards-and-memorise-the-damn-speech era.
It's not like they're making their money from this though. All AI work is heavily subsidised, for Alphabet it just happens that the funding comes from within the megacorp. If MS had fully absorbed OpenAI back when their board nearly sunk the boat, they'd be in the exact same situation today.
They're not making money, but they're in a much better situation than Microsoft/OpenAI because of TPUs. TPUs are much cheaper than Nvidia cards both to purchase and to operate, so Google's AI efforts aren't running at as much of a loss as everyone else. That's why they can do things like offer Gemini 3 Pro for free.
A lot of major providers offer their cutting edge model for free in some form these days, that's merely a market penetration strategy. At the end of the day (if you look at the cloud prices), TPUs are only about 30% cheaper. But NVidia produces orders of magnitude more cards. So Google will certainly need more time to train and globally deploy inference for their frontier models. For example, I doubt they could do with TPUs what xAI did with Nvidia cards.
But some are selfish assholes; and if you find yourself agreeing with the selfish asshole rich people when it comes to economics, it might be worth double-checking their claims that a policy is supposedly better for everyone. Much hooplah is made of rising tides lifting all boats, but flooding the valley tends to just drown everyone not in a boat.
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