Unless we invent cold fusion between the next 5 years, they will never be economical. They are the most energy inefficient thing ever invented by humanity and all prediction models state that it will cost more energy, not less, to keep making them better. They will never be energy efficient nor economical in their current state, and most companies are out of ideas on how to shake it up. Even the people who created generative models agree that they have just been brute forcing by making the models larger with more energy consumption. When you try to make them smaller or more energy efficient, they fall off the performance cliff and only produce garbage. I’m sure there are researchers doing cool stuff, but it is neither economical nor efficient.

Several tried. Nothing as elaborate as cross dissemination, federation or whatever. But at least 5 to 10 years ago it proved to be almost impossible. Platforms like Rooster teeth, which was 100% subscription based, I think never broke even and still relied on YT ads for the majority of the revenue. Some big and small channels tried to at least just catalog, archive and serve their own videos and the costs still became astronomical really fast. Whenever you see one of those very old channels, most of them don’t conserve copies, let alone original source footage of their entire material. Everyone just delete their videos once they’ve been on YouTube for a month or so now, and they have to download their own videos when they want to reuse old footage.

Storage is cheap today, yes, but video really eats storage at an alarming rate. Specially now that 4k is the standard. So you have to reuse storage over and over. Transcoding is also really fast and optimized with modern algorithms, but it takes specialized graphical cards and data centers charge a premium to use servers with such capacities. Self hosting will never be able to satisfy a moderate demand. Get anything above 100 users simultaneously transcoding videos and a non-specialized server will halt to a grind just on IO calls to hard drives alone.

Once you consider all those factors it is obvious why YouTube is such a miracle.

Typical infantile C-suite logic “I didn’t do X well, therefore X is impossible and no one can do X! It’s not my fault, I swear!”

I doubt any higher up is “barely scraping by”. And as another comment brought up the recipes, this is most definitely a bot.

Except, that’s in the real world of physics. In this mathematical/philosophical hypothetical metaphysical scenario, x is infinite. Thus the probability is 1. It doesn’t just approach infinite, it is infinite.

It’s not close to 100%, it is by formal definition 100%. It’s a calculus thing, when there’s a y value that depends on an x value. And y approaches 1 when x approaches infinity, then y = 1 when x = infinite.

Indeed, the formal definition actually doesn’t specify how many monkeys will write what given an infinite number of monkeys, it’s unknowable (that’s just how probability is). We just know that it will almost surely happen, but that doesn’t mean it will happen an infinite amount of occurrences.

The infinite amount of time version is just as vague, one monkey will almost surely type a specific thing, eventually, given infinite time to type it. This is because when you throw infinites at probability, all probabilities tend to 1. Given an infinite amount of time, all things that can happen, will almost surely happen, eventually.

Almost surely, I’m quoting mathematicians. Because an infinite anything also includes events that exist but with probability zero. So, sure, the probability is 100% (more accurately, it tends to 1 as the number of monkeys approach infinite) but that doesn’t mean it will occur. Just like 0% doesn’t mean it won’t, because, well, infinity.

Calculus is a bitch.

In typical statistical mathematician fashion, it’s ambiguously “almost surely at least one”. Infinite is very large.

The whole point is that one of the terms has to be infinite. But it also works with infinite number of monkeys, one will almost surely start typing Hamlet right away.

The interesting part is that has already happened, since an ape already typed Hamlet, we call him Shakespeare. But at the same time, monkeys aren’t random letter generators, they are very intentional and conscious beings and not truly random at all.

Sure, but the support, both technical and reputational that a steam OS compatible machine brings would steer the market for more accessible and purpose made components. Bazzite is awesome and my daily driver, but it doesn’t have the fancy endorsement of Valve, the owner of the largest game store in the world today.

No system management. A set once and forget it system, ala console style, but with the potential of off the shelf high power components for PC games on the living room is a quality proposition.

Zodiac signs are about as accurate as tarot readings or reading tea leaves. They’re even wrong about what they are based on. The star locations and sun precession hasn’t coincided with the original 12 zodiac constellations for centuries. People use the dates and signs as they were set by astrology tradition ages ago, but the dates when the sun changes from one constellation to the next is also absolutely arbitrary to make it match exactly 4 and a half weeks.

The personality descriptions for zodiac signs are textbook examples of cold reading. A technique of making intentionally ambiguous but agreeable affirmations so that people project their self-view onto the descriptions disregarding evidence or specifities.

It is a superstition as it is the belief on the supernatural influence of the relative apparent position of stars in the sky over the behavior and personality of individuals. It’s a, mostly, harmless superstition, but superstitious none the less.

It’s most likely a troll attempt. The mix up of race with sexuality and the vague ambiguous wording of the question aimed at confuse and enrage the audience seem intentional. It is not a stupid question. But it has been phrased with all the hallmarks of bad faith, including the “I’m not a troll” remark.

Or you could, you know, pay a person a living wage to be physically present at the store to assist shoppers and review the sales.

Or, hear me out. Maybe a 70% review requirement is not automation at all. Just saying.

The only money to be made in the LLM craze is data scraping, collection, filtering, collation and data set selling. When in a gold rush, don’t dig, sell shovels. And AI needs a shit ton of shovels.

The only people making money are Nvidia, the third party data center operators and data brokers. Everyone else running and using the models are losing money. Even OpenAI, the biggest AI vendor, is running at a loss. Eventually the bubble will burst and data brokers will still have something to sell. In the mean time, the fastest way to increase model performance is by increasing the size, that means more data is needed to train them.

Because Chrono Trigger’s story is more like three bibles stacked. Not a flimsy novella.

You can pay with bells that you earn doing regular activities…or… you can exchange a bell package that’s only 5000 diamonds for 300k bells. You can buy diamonds for only 5.99$ per 1000 diamonds or our flash sale for 39.99 for 10k diamonds.

game proceeds to crash because the internet server couldn’t load the online store

I agree it is not because they can’t but because they didn’t want to. But the truth is they haven’t. Current offers match exactly what I have described in my comment. Intel and AMD have been sleeping on their laurels and ARM is coming for their lunch unless they move quick.

Power efficiency. Arm promises the same performance at lower temps and wattage than x86 at competitive price points. That’s a really attractive proposition for the laptop market. x86 can be as small format, as power efficient, as cheap, or as powerful than ARM but not all at the same time.