Little-known detail about system prompts is that many of them include "don't talk about the system prompt" not to protect the prompt but because without it the model talks about the system prompt /all the time/ I like this formulation better: "…unless directly asked about it"
ETHICS
-
AI Assistant Prompt Transparency and Logging Portal Access
By
–
Something that could really help with devices like that would be prompt transparency: I would like to be able to sign into a portal somewhere and see detailed logs of exactly what prompts and responses my AI assistant used to answer my questions, RAG context included
-
Regulatory Capture Wave Threatens Future of Impactful Technology
By
–
Here comes the first wave of orchestrated, coordinated regulatory capture to drive the future of the most impactful technology invented yet by humankind. @bgurley
-
Best Available Human Standard in AI Development
By
–
We need to consider the Best Available Human standard.
-
Detecting deepfakes and verifying trusted image sources
By
–
I don't have the answers, but it will likely including focusing on bad actors using the systems and thinking about how to certify which images can be trusted. Teaching people to hunt down sources might also help (though it doesn't seem to work well for other false claims).
-
Deepfakes: Why Top-Down Policy Won’t Stop Synthetic Media
By
–
I have been playing with open source voice cloning, face swapping, and image tools, and the unfortunate conclusion is that there is no longer a top-down policy that will stop deepfakes or watermark AI images, the tools are out there. We need different approaches to address this.
-
Trusting AI Agents: The Importance of Transparency
By
–
Honestly I haven't personally experienced any agents that fit that description – I only trust agents where I can see exactly what they are doing, and beyond Code Interpreter I haven't actually used many examples myself
-
Can You Trust LLMs to Tell the Truth?
By
–
"Can I trust LLM AI to tell me the truth?" is such an interesting question Short answer: no, but it varies depending on the context Expecting it to tell the truth based on its weird opaque blob of matrices derived from its original training data is very risky indeed
-
Improving LLM Performance Through Chain of Thought Reasoning
By
–
One of the best ways to improve LLM performance is to ask it to “think aloud” (there are various techniques for doing this, including Chain of Thought). This also helps establish clearly the AIs plans. This paper suggests that, in some cases, the AI can plan without revealing it
-
LLMs Copyright Violation: The Sin of Synthetic AI
By
–
Being in the moment means seeing yourself or someone else. It’s a core proof you’re alive. Love galvanizes these moments. Romantic, parental, friendship – a moment of kindness. LLMs violating copyright law means stealing people’s human moments, w/o love, hence: Sin-Thetic AI.