TeMPOraL
Joined 16 years ago
Joined 16 years ago
This then makes the headline basically read as, "Popularly disliked company listened, with new project avoiding literally every valid or ignorant criticism people brought up; news found some even more nonsensical criticism to amplify".
Also GP is presuming the person on the other end should automatically care about request being sent to them. They don't.
> Ironically and unfortunately the only credible kind of training I can think of that might produce duplicitous behavior is RL with "safety filters"--- if you have some dumb nanny process watching what the model says but then reward it for achieving a task, you're doing exactly the kind of training that can produce that mismatch.
It was already demonstrated a while back by OpenAI, and turned out to be very easy - all it took was for them to include CoT in RL process, penalizing models for thinking "wrong thoughts" (particularly of cheating on the task), and not just wrong outputs. Instead of making the agent less likely to explore cheating, it just taught them to plan cheating in ways that aren't apparent in CoT trace.
The second problem, is that the system doing the reading/interpretation will most likely be another LLM.
Would you really entrust monitoring a potentially dangerous LLM to a system that uses LLMs and was built by them?
It's already established that LLMs have capability to lie, and they can prevent their true intent from showing up in the thought stream if they expect someone is looking (demonstrated by OpenAI a while back; their report asked everyone to not do RL on thought streams, as doing so just trains agents to hide their thoughts better). And as we've seen recently, they're more than happy to spontaneously collaborate.
As they should. When I ask an agent to find something for me, especially when I tell them what exactly or even give the URL itself, these fetches are done in my name. I do not appreciate agents coming back to me, saying "I'm afraid I cannot do that - robots.txt disallows that".
I've had to bring up the ethical argument a few times, fortunately most of the agents would oblige once I reminded them that they act as User Agents, in which case robots.txt is explicitly not applicable to them. I only got pushback on this from Fable, which claimed it's not an User Agent, but has to take into account the interests of Anthropic too, rejected my argument and refused the request.
Similarly, a chef who does proper, principled discovery in this space, would be also called a scientist. Conversely, not being principled is basically playing around, or at best, doing art (with no negative implications intended here; art is important and needed).
Limited in what way? Its basic structure is sufficient to eventually let us discover anything there is to discover. It's a fully general problem solving framework.
Well, this just means we haven't found any plant or animal to produce these things in sufficient quantities for our ancestors to notice and use them throughout the ages.
It doesn't mean it's bad for you, in particular. Treating "natural" vs "artificial" as spectrum, or even categories, is itself borderline nutty.
> but I don't think that means that I'd be OK with eating every mass-produced-food-like-product offered for sale.
Nobody is forcing you to. However, note that we also don't eat every "natural" thing we can find. Most things growing around the natural environment are hazardous or lethal to humans. So even our selection of what is "natural" food is, itself, highly... artificial.
Contact me at [email protected].
(I mean it. Don't hesitate, I'm always happy to continue interesting conversations after their HN thread disappears off the front page.)
Homepage: http://jacek.zlydach.pl. More: https://keybase.io/temporal_pl.
I do software nowadays, but I'm constantly looking for opportunities to do something actually useful for humanity. If you know of some, please let me know - especially if they involve biotech, cleantech or NewSpace industry.
(see also: http://jacek.zlydach.pl/blog/2018-01-06-going-far-going-small.html)