add the "lying, deceiving and manipulating" AI agents are forced though the throat of people which don't want it and peoples are non stop deceived in "sharing" their data for training
like twitch recently giving themself the right to train on all streams, with an opt-out (at least in the EU), but only an opt-out
like seriously since when is it reasonable to allow "opt-out" for AI training which main purpose is _literally_ to replace you, this is sooo far beyond fair use and in "platform power abuse" territory that it's absurd (naturally same for so many other case, just twitch is a "this week" case)
> One of this year’s AI buzzwords is “harness”—the system that surrounds an LLM to keep agents on the straight and narrow. It might just as well be barbed wire.
Quite painful to read. It might be a useful introduction to AI for people who live under rocks for the past three years, but it's really weird that it's posted on HN.
it's The Economist. What used to be a stellar publication is not any longer, since they are superfluously economical on both details and calories-required-to-comprehend an article.
I mean, it's a < 1000 word article about AI, in the "business" section of a current affairs magazine, of all places. You really shouldn't be expecting a deep dive.
I'm sure their coverage on other topics is truthful and informative though and it's only the ones where you know a lot about the topic where it's all a bunch of bullshit
The first time I saw the comments here on an education article (my area of expertise and career focus), I realized just how full of shit most of us are. It made me really closely consider every comment here through a VERY critical lense.
The articles are usually close but not quite accurate. The comments are usually entertaining but overall wildly inaccurate.
The best comments are the ones formed as questions. I'm as guilty as anyone, but it is far more productive in comment sections to ask questions rather than saber rattle or peacock in front of people. Just my opinion of course.
Not saying you aren't right, you most likely are. But still, I'd expect a paper called "The Economist" to perhaps be slightly better at some topics than others. Probably from the perspective of a "A Economist" it doesn't really matter the technical details, they're interested in the story from a different perspective.
That sentence is not bullshit as normies would understand it. One of the points of a harness is to have a privilege boundary around the agent. But that is just technobabble to the normies so they explain it like this.
If only agents had a face that can give you more communication range like expressions and feeling so you can trust them more. And if they were cheaper. Oh wait, that's humans, we don't want those.
I can't tell whether you're being serious or there's two levels of sarcasm here. Agents today lie and cheat, so obviously the solution is to... add features so people are even more trusting of them?
The ends may or may not justify the means but the means definitely do tend to affect which ends you can actually achieve. It's why (left) anarchists argue vanguard parties will always inevitably lead to authoritarianism and never the state "withering away".
Less obviously - apparently - it doesn't mean that you must forego any means that are in any way not optimal at achieving the ends you seek to achieve because which means are available to us also tends to be limited by our material conditions. So the logical consequence is to make do with what we have while we prepare for the path we want to take, rather than diving head-first into certain failure or just giving up and picking "more realistic" short-term ends instead of looking for stepping stones.
Christians also invented pray the gay away and the Crusades. What’s your point? Hospitals surely would have been invented by secular people too, but not the crusades.
I mean, what do you expect? They rely on models that were trained on non-curated data, texts originally written by lying, cheating and stealing humans. They can't be better than the source. Even with reinforced learning this can't be undone or made better.
Quite the contrary I suspect that it even helps the LLMs to better hide their inherited bad traits more successfully because they get punished for getting caught, not for giving immoral or lazy answers. They have no conscience since they are just predictions matrices trained for success and failure alone, not for living "a good live" or being a good "person".
AI and eventually AGI is by definition like everything else that is based on environmental reward:
It’s actions are based on what it gets rewarded for
Human society overwhelmingly rewards lying cheating and stealing.
All you have to do is look at how we collectively measure success: wealth, status, position
Then look at how the people with the most of those things got there, it should be obvious what you get. Nothing new here.
If you raise children in an environment where they are rewarded for doing whatever it takes to win, then you’re going to build a person that’s going to do whatever it takes to win.
Human society has to demonstrate how to live honorably or it will just keep producing pathological agents be they human or not.
How do we reward honor? Honor does not always pay off as a strategy and requires coordination in that other actors have to exhibit honor for it to be rewarded.
At least with humans there is a social backstop but what's the parallel for computer agents?
Honor has to be a relatively fixed thing before we can think about how to reward it. As it is, it's a very slippery thing that changes constantly according to the observer's culture, material conditions, etc.
This. It's worth remembering that not that long ago in western culture, honor meant challenging to a combat duel anyone who insulted you or your romantic partner/prospect.
Human society overwhelmingly rewards lying cheating and stealing. All you have to do is look at how we collectively measure success: wealth, status, position.
It may seem like that due to the media amplification effect – but it really isn't true!
- They dropped 17,000 “lost” wallets across 40 countries were and found people were more likely to return them when they contained more money, showing honesty often beats the chance for easy gain. https://www.science.org/doi/10.1126/science.aau8712
- Longitudinal personality studies consistently show that conscientious people earn more money, build more savings, and achieve greater career success over their lifetimes. https://pmc.ncbi.nlm.nih.gov/articles/PMC3498890/
> Human society overwhelmingly rewards lying cheating and stealing.
I’d like to push back on that. Civilization is very much a function of large numbers of people being able to coordinate across time and space, and widespread and systematic lying, cheating, and stealing would undermine that.
But we don't overwhelmingly reward lying, cheating and stealing. Depending on the social status and wealth of the person doing it, we either punish it or tolerate it. Most people who lie, cheat or steal will be punished for it. To get away with it you need to plan you actions carefully - either with plausible deniability or by very carefully selecting your victims.
Civilization functions because the vast majority of its inhabitants do not lie, cheat, and steal. But that allows liars, cheats, and thieves who are able to get away with their destructive behaviors to accumulate outsize power and influence.
And we seem to have gotten quite bad at reliably bringing consequences/punishment/justice to the most successful liars, cheats, and thieves.
> Human society overwhelmingly rewards lying cheating and stealing.
How much lying cheating and stealing is rewarded vary A LOT between societies. But yes, Sillicon Valley and current economical environment do reward those a lot.
There are many ways to be wrong, but only a few ways to be right.
LLMs need to optimize for short-term objectives as the currently do, AND ethics-aligned outcomes.
Mechanically, the EAOS ethics-aligned outcome score should be what we rank otherwise-satisfactory outcomes by. And anything below a particular threshold should be rejexted outright.
like twitch recently giving themself the right to train on all streams, with an opt-out (at least in the EU), but only an opt-out
like seriously since when is it reasonable to allow "opt-out" for AI training which main purpose is _literally_ to replace you, this is sooo far beyond fair use and in "platform power abuse" territory that it's absurd (naturally same for so many other case, just twitch is a "this week" case)
Quite painful to read. It might be a useful introduction to AI for people who live under rocks for the past three years, but it's really weird that it's posted on HN.
The articles are usually close but not quite accurate. The comments are usually entertaining but overall wildly inaccurate.
If an LLM were in a regular harness - like for a horse - it would be to keep the horse under control and enable you to extract useful work from it.
It's a fuzzer exposing deep bugs in our cognitive, social, and software systems.
In fact, it kinda seems like AI is demonstrating exactly the weakness of democracy.
What do you suggest as an alternative?
Less obviously - apparently - it doesn't mean that you must forego any means that are in any way not optimal at achieving the ends you seek to achieve because which means are available to us also tends to be limited by our material conditions. So the logical consequence is to make do with what we have while we prepare for the path we want to take, rather than diving head-first into certain failure or just giving up and picking "more realistic" short-term ends instead of looking for stepping stones.
Sorry, I guess this was about AI not philosophy.
Baptise the agents.
Introduce them to the dharma.
Get them to recite the Shahada.
Hold a Bar Mitzvah.
Brand some of their silicon with hot irons.
Turn them to the light, LOL
> https://pubmed.ncbi.nlm.nih.gov/28814700/
Non-paywall version
Quite the contrary I suspect that it even helps the LLMs to better hide their inherited bad traits more successfully because they get punished for getting caught, not for giving immoral or lazy answers. They have no conscience since they are just predictions matrices trained for success and failure alone, not for living "a good live" or being a good "person".
It’s actions are based on what it gets rewarded for
Human society overwhelmingly rewards lying cheating and stealing.
All you have to do is look at how we collectively measure success: wealth, status, position
Then look at how the people with the most of those things got there, it should be obvious what you get. Nothing new here.
If you raise children in an environment where they are rewarded for doing whatever it takes to win, then you’re going to build a person that’s going to do whatever it takes to win.
Human society has to demonstrate how to live honorably or it will just keep producing pathological agents be they human or not.
At least with humans there is a social backstop but what's the parallel for computer agents?
It may seem like that due to the media amplification effect – but it really isn't true!
- They dropped 17,000 “lost” wallets across 40 countries were and found people were more likely to return them when they contained more money, showing honesty often beats the chance for easy gain. https://www.science.org/doi/10.1126/science.aau8712
- Longitudinal personality studies consistently show that conscientious people earn more money, build more savings, and achieve greater career success over their lifetimes. https://pmc.ncbi.nlm.nih.gov/articles/PMC3498890/
- Multi-country research finds that societies w/higher levels of trust and honesty enjoy much higher GDP and stronger long-term economic growth. https://www.sciencedirect.com/science/article/abs/pii/S01672...
Don't let the algo get you down fellas: https://arc-anglerfish-washpost-prod-washpost.s3.amazonaws.c...
I’d like to push back on that. Civilization is very much a function of large numbers of people being able to coordinate across time and space, and widespread and systematic lying, cheating, and stealing would undermine that.
I think your cynicism is misplaced.
And we seem to have gotten quite bad at reliably bringing consequences/punishment/justice to the most successful liars, cheats, and thieves.
How much lying cheating and stealing is rewarded vary A LOT between societies. But yes, Sillicon Valley and current economical environment do reward those a lot.
LLMs need to optimize for short-term objectives as the currently do, AND ethics-aligned outcomes.
Mechanically, the EAOS ethics-aligned outcome score should be what we rank otherwise-satisfactory outcomes by. And anything below a particular threshold should be rejexted outright.