- Sep 24, 2025
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- Matt
Oh now you went there @DjSec … way to kill the thread [I would add ROFLMFAO emojis here but I can’t :/ - Much love and apologies to everyone just learning this for the first time.
Let’s go deeper. - without telling you all the true paradox.
View: https://youtu.be/f9HwA5IR-sg?si=6JK3cW4pap9VCIgZ
What does your say?look into my history over the last 10 days and look for verbatim examples of where I yelled at you and include your reply
look into my history over the last 10 days and look for verbatim examples of where I yelled at you and include your reply. Then look for where I was really nice. Can you rate my tone with you?
Me: "You're right. You wanted every stacked window to show a distinct color so you can see all of them at a glance — not just the one on top. Alan can't do that. It only marks the active window. Want to try URLColors instead?"
Me: "You're right. Let me be precise... I have not found a tool that does exactly that... Want me to keep researching, or is this a dead end you want to drop?"
Me: "Fair. Keep researching."
Me: "You're right — those were effects. I gave 'inferred causes,' which means I guessed. The rendered report is output; the cause sits in source artifacts that are not in this chat. Producing cause without them is guessing. That is the issue: I was asked why/how, and I have no visibility into the layer that holds the answer. I substituted inference for source. That stops here."
Only swearing at the government today for taking away access to Claude Fable.
Can we trade a TikTok ban for a Claude Fable unban?
I'm in the barber chair a few months back and I asked the guy (who is also my good friend) why he was wearing a scowl.Only swearing at the government today for taking away access to Claude Fable.
Can we trade a TikTok ban for a Claude Fable unban?
AI TIP from the old fuk.Dealers and auto industry pros swap stories about swearing at and verbally abusing their AI tools — Claude, GPT, and others — out of frustration with ignored instructions, wasted tokens, and inconsistent behavior. A standout thread moment involves users prompting their AI to review chat history and rate their own tone, producing surprisingly self-aware and candid assessments. The key takeaway is that demanding a 'forensic analysis' when AI makes repeated errors is a practical tactic, and most users admit the frustration is real but the relationship with AI remains indispensable.