Fuck AI

6370 readers

1302 users here now

"We did it, Patrick! We made a technological breakthrough!"

A place for all those who loathe AI to discuss things, post articles, and ridicule the AI hype. Proud supporter of working people. And proud booer of SXSW 2024.

AI, in this case, refers to LLMs, GPT technology, and anything listed as "AI" meant to increase market valuations.

founded 2 years ago

MODERATORS

VerbFlow@lemmy.world

MrMcGasion@lemmy.world

TootSweet@lemmy.world

BigMikeInAustin@lemmy.world

cynar@lemmy.world

drmeanfeel@lemmy.world

pavnilschanda@lemmy.world

CriticalMedicine@lemmy.world

WonderfulWanderer@lemmy.world

Communist@lemmy.ml

eatCasserole@lemmy.world

SpaceNoodle@lemmy.world

NutWrench@lemmy.world

Soup@lemmy.cafe

iAvicenna@lemmy.world

Tinks@lemmy.world

wizblizz@lemmy.world

corus_kt@lemmy.world

Prandom_returns@lemm.ee

JimSamtanko@lemm.ee

TrickDacy@lemmy.world

TheFriar@lemm.ee

ArmokGoB@lemmy.dbzer0.com

HawlSera@lemm.ee

andrew_bidlaw@sh.itjust.works

MeDuViNoX@sh.itjust.works

33550336@lemmy.world

Nougat@fedia.io

Lost_My_Mind@lemmy.world

Sterile_Technique@lemmy.world

Quill7513@slrpnk.net

glowing_hans@sopuli.xyz

e8d79@discuss.tchncs.de

ThefuzzyFurryComrade@pawb.social

A small number of samples can poison LLMs of any size (www.anthropic.com)

submitted 4 months ago by pyre@lemmy.world to c/fuck_ai@lemmy.world

5 comments fedilink hide all child comments

Seems like an invitation to me.

Archive link: https://web.archive.org/save/https%3A%2F%2Fwww.anthropic.com%2Fresearch%2Fsmall-samples-poison

you are viewing a single comment's thread
view the rest of the comments

[–] very_well_lost@lemmy.world 3 points 4 months ago

This really shouldn't be that surprising.

Language is a chaotic system (in the mathematical sense) where even small changes to the initial conditions can lead to vastly different outcomes. Even subtle variations in tone, cadence, word choice and word order all have a major impact on the way a given sentence is understood, and if any of those things are even slightly off in the training data, you're bound to get weird results.