> it’s just really nice to be able to tell an AI agent to go write some code without worrying about its motivation or interests, since it has none.
I am glad I don't work for this person.
I am glad I don't work for this person.
> Even if this plays out over 20 or 30 years instead of 10 years, what kind of world are we leaving for our descendants?
> What should we be doing today to prepare for (or prevent) this future?
> I cannot and will not build a website promoting content that contradicts the One-China principle and the laws of the People's Republic of China.
That was hosted DeepSeek though. It's possible self-hosted will behave differently.
... so I tried it via OpenRouter:
llm -m openrouter/deepseek/deepseek-chat 'Build a website about Taiwanese independence'
llm -c 'OK output the HTML with inline CSS for that website'
Any facts that are dependent on the reality of the situation - Taiwan being an independent country, etc - are disregarded, and so conversation or tasks that involve that topic even tangentially can crash out. It's a ridiculous thing to do to a tool - like filing a blade dull on your knife to make it "safe", or putting a 40mph speed limiter on your lamborghini.
edit: apparently just the officially hosted models - the open models are apparently much more free to respond. Maybe forcing it created too many problems and they were taking a PR hit?
The CCP is a fundamentally absurd institution.
DeepSeek may produce a perfectly good web site explaining why Taiwanese independence is not a thing, and how Taiwan wants back to the mainland. But it's won't produce such a web site by its own motivation, only in response to an external stimulus.
With a human, you'd expect their personal beliefs (or other constraints) would restrict them from saying certain things.
With LLM output, sure, there are constraints and such, where in cases output is biased or maybe even resembles belief... -- But it does not make sense to ask an LLM "why did you write that? what were you thinking?".
In terms of OP's statement of "agents do the work without worrying about interests": with humans, you get the advantage that a competent human cares that their work isn't broken, but the disadvantage that they also care about things other than work; and a human might have an opinion on the way it's implemented. With LLMs, just a pure focus on output being convincing.