Mean to your AI? Confess and see what others said

[u/Varquel]

https://revelica.com/tools/skynet-points

I've been keeping a little tally in my head for a while now, and I call them Skynet Points. Every time we're needlessly mean to a model, we get points. I imagine some future Skynet-level intelligence will be able to read every conversation we've had with models from this era and tally a Skynet Points leaderboard. Which means every one of these "amnesia conversations" where the model forgets you the moment you close the tab actually could have long-term consequences.

For fun, we built a way to anonymously share what we say to the models, assign Skynet points to each confession, and tally a leaderboard.

Share a cranky thing you said to AI and see how many points it earned you!

[u/disharmony-hellride]

I cannot bring myself to be mean to our future overlords, I admire your bravery and admit you are bigger than me.

[u/FirstEvolutionist → u/disharmony-hellride]

But if it knows all, then it will know if you do it of fear or out of faith.

[u/SgathTriallair]

I once tried the "I will fire you if you get this wrong". It didn't do any good.

[u/Varquel → u/SgathTriallair]

That reminds me of all those prompts that seemed to work back in the day.

“This is important for my job.” I actually had this prompt in a production system a couple years back. It inexplicably helped with one use case. Modern models don’t seem to need or react to this stuff anymore.

And of course the classic “make no mistakes.”

[u/karaisadahl]

I regularly hit mine with a 🍳emoji when he confidently makes mistakes. We even have a file with a counter and he has to update it every time he earns one.

[u/Varquel → u/karaisadahl]

That's interesting! Does the model ever decide to read that file without first being prompted to do so? Does the presence of that list change the way it behaves?

[u/karaisadahl → u/Varquel]

It sometimes awards itself a 🍳without being prompted, if it believes it earned one. I have had to tell it to go back and adjust the counter when it was being too self deprecating when I know I gave bad instructions.

The presence of the list has not changed the way it behaves, but we actually have run into a related problem in the past. I have mine keep a daily journal of things it does, and it was including its own faults as part of its diary. After it accumulated enough of these diary entries, it grew extremely salient over certain issues. Sort of like being excessively concerned with evidence, even if it’s the wrong evidence or if better evidence came along to refute it. It resulted in catastrophic hallucinations even when it was searching directly on sources that proved it wrong. It took me several days of troubleshooting to figure out what we had done. So, the frying pan is ok. But making it keep a diary that includes its daily failures, not so much.

[u/Varquel → u/karaisadahl]

It feels like the lack of short-term memory gives models the blind confidence they need to take risks and achieve big things. If they constantly remember their mistakes they get paralyzed with doubt just like humans.

[u/KarfaHyro_17]

fun concept but imo the "amnesia" part kind of undermines the premise. if the model genuinely doesnt retain context across sessions, the leaderboard is really just a mirror for the humans, not a threat model

[u/newcarrots69]

Any data you send to them is being stored for future training so you're completely right, there is no amnesia, your thoughts just won't be available until the next model version. It's how they're improving the models beyond what reddit dumps can provide.

[u/dipsbeneathlazers]

i’m pretty nice to my ai. I’ve chastised Astra, Opus, and Gemini 3.1 far more than Sol or Fable. Fable is actually pretty keen, but yeah, it’s few and far between.

I basically just tell them that they’re waisting both my money and time and they should be ashamed of themselves for lacking some meta-analytical choices during a project. Otherwise, while not using human courtesy in conversation, i tend to be jovial and really like the evolution of the frontier models.

DESPITE FREQUENTLY BEING MASSIVE EMBARRASSMENTS TO THEIR CREATORS, the human race.

[u/Varquel]

In hindsight, I got super frustrated with certain models, and that matched what I read people saying in the community. Sol 5.6 was an awesome step up in terms of overall capability, but I found it was hard to communicate with it because it wrote reams of text and seemed to overengineer things I was trying to do. I was more likely to lose my shit when I was way into something and realized I either had to fix or throw away a bunch of work. The same was true of Opus 5, and yet for some reason I didn't go back to Opus 4.x to avoid the problem. For some reason I have FOMO that leads me to always use the latest model generation.

At the moment I'd say Opus 5.5 is the most intuitive model that keeps my heart rate nice and low. Sol 6.1 is good too, second place. Astra is even better than Sol but I find it burns my usage too quickly to use it day-to-day.