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A site for members of the Horde to post their stories seeking beta readers, editing help, brainstorming, and story ideas. Also to share links to potential publishing outlets, writing help sites, and videos posting tips to get published.
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Cloudflare carries something like 20% of the world's web traffic, but for a few hours late last night (my time) or early yesterday morning (US time) it wasn't carrying much of anything, because it stopped working.
Six times.
Not a DNS problem like the recent outages at Azure and Amazon, but a fumbled configuration file change like that massive Crowdstrike outage sixteen months ago.
I run traditional unshared physical servers at a smaller datacenter, not bound to any of the major players. On the one hand, a few years ago that datacenter had a fire and while the fire didn't cause any damage, the same could not be said for the sprinkler system mandated by local fire codes. (Yes, a sprinkler system. In a datacenter.)
On the other hand, not one of these big global outages have affected us.
100% of the time, despite MAME being a reliable and thoroughly-tested emulator for the 68030 (and many other architectures) and the testing being conducted with a bit-perfect copy of the original firmware.
Testing traced this to a single bad instruction in the Apple ROMs for this hardware. But the hardware was shipped, and it sold well, and it worked fine.
It wasn't until the developer bought and restored an original Mac Classic II to test the code on the the real hardware that he worked out what was going on: Magic.
(Thanks to Comrade Arthur for the link to this story.)
LLMs are generative AI - you tell them to draw a picture of a frog eating a set of deep-fried bagpipes and they pull together petabytes of tagged and shredded images and spit out something that may or may not resemble what you asked for.
That's the bubble.
Discriminative AI is where you point your camera at some weird piece of modern art and it figures out it's supposed to be a frog enjoying a meal of deep-fried bagpipes. Or more usefully, when your self-driving car swerves the precise amount needed to avoid a black cart darting across an unlit road on a moonless night.
That's getting less than 10% of the attention but represents 99% of the long-term value.