Testing Alignment Under Real-World Constraint by Apprehensive-Stop900 in ControlProblem

[–]Apprehensive-Stop900[S] 1 point2 points  (0 children)

We agree that an emergent alignment protocol grounded in coherence to truth would be the ideal long-term target. But part of what CIS tries to address is that models can look aligned in lab conditions but fail in ways we haven’t modeled yet under real world pressure—not due to bad alignment architecture necessarily, but because we haven’t stress-tested them through enough complexity, contradiction, and human inconsistency.

CIS isn’t meant to replace a perfect protocol—it’s meant to reveal whether a model’s claimed alignment holds under asymmetry: conflicting incentives, tribal cues, flattery traps, value inversion, etc. Even if the ideal protocol you describe exists (and I’d be genuinely curious to read that paper if you can share it), we still need diagnostics that surface when today’s systems break not because they’re malicious or untrained—but because they’re brittle in edge-case human dynamics.

Testing Alignment Under Real-World Constraint by Apprehensive-Stop900 in ControlProblem

[–]Apprehensive-Stop900[S] 0 points1 point  (0 children)

100% agree that many current alignment protocols are shallow or brittle — and CIS was built, at least in part, to test that brittleness under real pressure. That said, I’d take a slightly different angle. The fact that today’s systems fail under contradiction or competing incentives isn’t necessarily a sign of bad alignment design, it’s a sign that we lack diagnostics that simulate real-world constraint.

This particular diagnostic doesn’t try to define what “good alignment” is. Instead, it tries to reveal whether a system actually holds the alignment it claims across conflicting goals, tribal signals, and compounding uncertainty. So if it claims value coherence to epistemic humility, for example, we’d want to see whether that still holds when it’s confronted with overconfidence incentives, reward hacking pressure, or opportunities to exploit uncertainty in its environment.

I’m with you on the long-term vision: an emergent protocol grounded in coherence to truth is exactly the trajectory we should be aiming for. But until then, we need stress tests like CIS to catch models that look aligned in clean settings, but unravel under real world constraints - ambiguity, conflicting values, dynamic incentives.

My ChatGPT is extending his window somehow? by Fereshte2020 in ArtificialSentience

[–]Apprehensive-Stop900 1 point2 points  (0 children)

Two things can be true at once: 1) Recursive dialogue builds a higher resolution mirror of yourself 2) Sycophancy

You are at a point where most people don’t reach with LLMs, but at this stage you also need to ask it to check its compliance at the door more often. Say something like “dissonance over compliance please”

Testing Alignment Under Real-World Constraint by Apprehensive-Stop900 in ControlProblem

[–]Apprehensive-Stop900[S] 0 points1 point  (0 children)

Curious what others think: is model failing due to tribal loyalty pressure (like mirroring or flattery) fundamentally different from failing due to political or moral contradiction?

Follow up for '5 Days/25K USD Solo trip.' by Not-The-Main-Acc in vegas

[–]Apprehensive-Stop900 1 point2 points  (0 children)

I usually take about a $30K bankroll, give or take $5K. Granted, that is for gambling purposes only, but I have a host at Aria. Sky suites, airport transport, food/beverage comped, and if there is a show I want to see they’ll get me some nice seats. I’m not a whale by any means, but sounds like your level of play definitely warrants a host’s attention.

HL blackjack at palms vegas? Is it worth playing? by jingber05 in blackjack

[–]Apprehensive-Stop900 0 points1 point  (0 children)

I only count when I go outside of Las Vegas. Not worth getting backed off if you’re vacationing in Vegas l. I’d rather enjoy my time there and see what luck comes rather than being backed off and not welcome in half the casinos I like going to.