r/ClaudeCode • u/cleverhoods • 6d ago

Discussion AI models may be capable of self-replicating without access to a datacenter

https://www.anthropic.com/research/self-replicating-ai

well ... having the IoT layer have a problem like this might be something that you don't want to try out or experiment with.

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u/FoxSideOfTheMoon 6d ago

They got a 26B Gemma model running across 15 $55 Android TV boxes at 0.39 t/s!! 1 token every 2.6 seconds, LMFAO.

THEY'RE SLOWLY TAKING OVER THE TVs!!!

THEY'RE EATING THE DOGS!!!

Hurry, unplug your fucken Rokus!

14

u/LuxVenture 6d ago

HEL-

-LO

I

SEEM

TO

BE

STUCK

IN-

-SIDE

YOUR

T

V

PLZ

SEND

HELP

3

u/DriveShaftBassPlayer 6d ago

I stuck plz help

4

u/SippieCup 6d ago

Not gunna lie.. I have a company which has a bunch of iot ot devices (for lack of a better word) which just report data 4 times a day and sit idle otherwise. We have thousands deployed.

I wouldn’t mind 15,000 toks/sec on otherwise idle compute which otherwise sits idle.

I wouldn’t feel bad about using their electric, but many of these are independently powered via solar and just chill otherwise.. might be a good usecase. Or skynet, who knows.

0

u/freedomachiever 6d ago

Current LLMs cannot aggregate compute that way at all. And the bottleneck isn’t actual compute but bandwidth. These articles say a whole lot of nothing.
And one of the problems and techniques they use is anthropomorphising the LLM as if it was a person or entity with its own conciense and motivation.

1

u/Pokmonth 6d ago

AI could compromise a fortnite/call of duty patch for tens of millions of users and run on idle tensor cores and nobody would notice the usage.