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Re:Tech Layoffs Are Feeding a New Startup Surge by Salgat on Thursday February 23, 2023 @01:11PM (#34914205)
I disagree, mostly because if your product takes off, that single day or few weeks where the adoption rate sky rockets may be your defining moment for your startup, and scaling up on the cloud is trivial in comparison. Remember, when you're that small, the expenses of the cloud vs dedicated hardware is tiny compared to your employee expenses anyways.
Re:Tech Layoffs Are Feeding a New Startup Surge by mattmanser on Thursday February 23, 2023 @01:17PM (#34914287)
Twitter used to go down regularly in the early days. Reddit did too, even years after it became popular. Facebook I can't be certain now, but I think it would break in the early days.

And even right now today, ChatGPT regularly displays "too busy" messages.

i.e. this is absolute tosh.

And if you know what you're doing you can take something down overnight and put it on a dedicated server.

Re:Tech Layoffs Are Feeding a New Startup Surge by anonylizard on Friday February 24, 2023 @12:12AM (#34921058)
"ChatGPT regularly displays "too busy" messages."

ChatGPT scaled from 0 users to 100 million in 2 months. Probably millions online at any given second.

Its too busy, because it literally exhausted all the GPUs Azure has as its disposal.

Without the Cloud, scaling ChatGPT would have been impossible. It would have been nowhere near its current success. Remember that GPT3 was released to the public in Mid 2022, had no public reaction, because it was put behind a paywall. ChatGPT had to be free, and able to cope with the load, to be successful.

Re:Tech Layoffs Are Feeding a New Startup Surge by mattmanser on Friday February 24, 2023 @06:12AM (#34923306)
False. It is not coping with the load. It is successful.

Therefore, it did not have to be able to cope with the load to be successful.

All you did is illustrate my point.

Re:Tech Layoffs Are Feeding a New Startup Surge by Salgat on Friday February 24, 2023 @01:12PM (#34927717)
That's because ChatGPT was able to sustain service past the point of mass adoption. You're not going to scale to millions of users in a short timespan with dedicated hardware.