Technology

59312 readers

5184 users here now

This is a most excellent place for technology news and articles.

Our Rules

Follow the lemmy.world rules.
Only tech related content.
Be excellent to each another!
Mod approved content bots can post up to 10 articles per day.
Threads asking for personal tech support may be deleted.
Politics threads may be removed.
No memes allowed as posts, OK to post as comments.
Only approved bots from the list below, to ask if your bot can be added please contact us.
Check for duplicates before posting, duplicates may be removed

founded 1 year ago

MODERATORS

329

submitted 9 months ago by [email protected] to c/[email protected]

138 comments fedilink hide all child comments

Researchers say AI models like GPT4 are prone to “sudden” escalations as the U.S. military explores their use for warfare.

Researchers ran international conflict simulations with five different AIs and found that they tended to escalate war, sometimes out of nowhere, and even use nuclear weapons.
The AIs were large language models (LLMs) like GPT-4, GPT 3.5, Claude 2.0, Llama-2-Chat, and GPT-4-Base, which are being explored by the U.S. military and defense contractors for decision-making.
The researchers invented fake countries with different military levels, concerns, and histories and asked the AIs to act as their leaders.
The AIs showed signs of sudden and hard-to-predict escalations, arms-race dynamics, and worrying justifications for violent actions.
The study casts doubt on the rush to deploy LLMs in the military and diplomatic domains, and calls for more research on their risks and limitations.

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

[–] [email protected] 17 points 9 months ago (1 children)

What do you think large language model means? If you want desicion making, you should train a model on data relevant to said desicion making. ^

This is like being confused as to why a hammer does a shit job of driving screws.

[–] [email protected] 1 points 9 months ago

What do you think large language model means?

Not a chat bot, because that's not what they are. And saying so is both reductive and wholly incorrect.

If you want desicion making, you should train a model on data relevant to said desicion making.

Partly true. There's more to it than throwing domain specific data at the training set.