"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
ETHICS
-

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.
-

Copilot and ChatGPT Facing Languages
By
–

It turns out that Copilot would maintain cultural subordination if you start a conversation in Russian. It would say “hello” before giving the first answer while in English it would just share it straight away While ChatGPT wouldn't care
-

Chatbot Honesty and Trust: The Lying Problem
By
–
Another example of this pattern
— Simon Willison (@simonw) 27 avril 2024
If people ask your chatbot how it did something and it evidently lies to them when it answers you're going to have trust issues! https://t.co/YCNp2h1uCVAnother example of this pattern If people ask your chatbot how it did something and it evidently lies to them when it answers you're going to have trust issues!
-
Power as magnifying lens for human nature and behavior
By
–
Power is a magnifying lens. It makes good people better and bad people even worse.
-
LLMs errors tolerance: rethinking AI deployment beyond zero-error
By
–
I think too many people think only of AI use in places where errors are not tolerated. It isn't good at that. LLMs hallucinate & make mistakes. But for a huge amount of work, human error is tolerated, and the question is whether AIs (working with humans) make more or less
-
AI Systems Show Impressive Reliability Compared to Humans
By
–
But when you think of them like humans, they are impressively reliable.
-
Advanced AI Systems Struggle with Basic Instruction Following
By
–
It's just so weird and unintuitive having super-advanced computers that can't reliably do the things that we tell them to do
-
SAS Three Critical Questions for Trustworthy AI Innovation
By
–
Delighted to host Josefin Rosen on #CXOSpice at #SASInnovate on Responsible #Innovation and #TrustworthyAI.
— Helen Yu (@YuHelenYu) 26 avril 2024
Check out the three critical questions SAS always asks when AI is involved.
Watch the full interview here: https://t.co/xXoQIVQycd#SASInnovate #SASVisionary #AI… pic.twitter.com/RpFA39BEGyDelighted to host Josefin Rosen on #CXOSpice at #SASInnovate on Responsible #Innovation and #TrustworthyAI. Check out the three critical questions SAS always asks when AI is involved. Watch the full interview here: https://
lnkd.in/gr9jwVtm #SASInnovate #SASVisionary #AI