One point that Google wants to own all your data but have the power to ban you with a faulty ML algorithm with no recourse. False banning that affects someone's normal life must be punished if the service provider tries to lock you in. You and lock people in or have power to arbitrarily ban them, not both
Live is short, required time to market is even shorter. Arbitrary constraints might work if you have nothing better to do, but if you have a goal, or specific ideas you want to train, you'll get more natural constraints.
History is full of half-baked products that were better executed by a competitor later. While I agree that manually balancing the text of manual is probably not the best use of time, it's this obsessive mindset that creates great products. If Super Metroid would have optimized for time-to-market we wouldn't even remember the game.
I would argue that limitations, forced or arbitrary lead to more interesting (and perhaps in the end more useful) products.
In the GDC 2016 talk "8 Bit & '8 Bitish' Graphics-Outside the Box" by Mark Ferrari he mentions something similar.
(paraphrasing) "If you can make anything you like (with modern Photoshop) you won't need to stop to consider the core of your idea."
A lot of our thoughts are not as original as we like to believe and constraints can push your to consider your ideas and designs from another perspective leading to better understanding or design of the core concept. Often because the ideal path to realizing your idea is not available so you will have to reconsider the need or how to creatively implement something that approaches your desired outcome.
Now the GDC talk is about pixel art but the same is true in writing or any creative process (for example painting or coding). Famously some writers limit their selves to typewriters, for example George Orwell or Matty Healy.
This is good for satire, but the real solution is to use AI to become the CEO, or take over the scope of of product or decision-making roles. There are many business-savvy technical workers that get pigeonholed because they spend most of their cognitive effort on low-level technical details. This is an opportunity for these people to rise up and prove they work better than people who manage or direct them. CEO is really not a role to automate, unless it's a fully autonomous business that has zero humans.
They were famous for committing to buying compute with future money that many people thought they would go bankrupt. Anthropic was afraid of going bankrupt and didn't do the same.
A more concise explanation is that, computation is the transformation of information. Any transformation of information is computation, and is thus subject to some theory of computation. A physical process involves the transformation of information, so can be studied with a theory of computation.
> A physical process involves the transformation of information, so can be studied with a theory of computation.
A rock rolling downhill has state-dependent future behavior you could describe informationally, but nothing is gained by modeling it with automata theory instead of Newtonian mechanics, and it isn't computing in any substantive sense.
It's true for Nintendo too. They don't sell the hardware at a loss but also they make very little from the consoles (at least when they're new). Most of the money comes from software accessories.
"I know this" is different from "I know you know this", which is different from "You know I know this", which is still different from "you know I know you know this"
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