Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Bobby Joachim That is the most challenging part of this technology. It sounds just as capable when it is wrong as when it is right. We cannot use the tone of the answer as a measure of quality or accuracy anymore.
Too real. AI can be wrong with the confidence of a senior consultant and then gently suggest you drink water about it. Still useful, but definitely not something to trust without verification.
Francis Okafor Distinguishing between a guess and a fact is a skill we are all learning. It requires a lot more mental energy than just reading the output. Moving forward, verifying the source will be just as important as generating the content itself.
Larry Chao It would be much easier if the system warned us when it was guessing. Instead, we have to treat every answer as a draft that needs our personal review. Managing that feedback loop is becoming a daily part of my own routine.
Gav Blaxberg That is the danger when we get comfortable. When we assume the machine is doing the heavy lifting, we often stop checking the details that matter most. Staying alert is the only way to remain in control of the final output.
I know several managers like that ;)
The issue here was the instruction to AI was not explicit enough. The user didn't specify the colour or if it was a photo the colour may not have been clear. If the type of bear was clear there maybe an answer as per below "If it's brown, lay down. If it's black, fight back!"
You are right that confidence without correction is dangerous. The comic nails that danger, but it's not how today's models actually work.
Hilarious, but so true
Mine confidently diagnosed a risk issue... and recommended mindfulness instead of controls.Still waiting for the audit trail.:-)
The fundamental question here.. Does the man need to ask AI whether he should run? Will human intelligence get so dependent on AI that we cant make even instinctive survival decisions?
Reginald Mba AI only amplifies what we can do. It will probably lead us astray if we use it as an expert to get answers to questions in matters where we are still novices😅
AI: I can speak true or false, but what i say, i say with confidence 😁
The confidence point is very recognisable, and it raises something I keep coming back to in my own use of AI. What looks like confidence is not really confidence in the human sense. The model is producing an answer through a mathematical/probabilistic process, not weighing doubt or certainty as a person might. That is why fluency can be so misleading: we can mistake it for judgement, and certainty for truth. Verification matters; so does resisting the temptation to anthropomorphise what the system is doing.
Love it!... hahaha. Always remember: Human in The Loop, but not in that way...
My take on this is, prompts are not detailed and specific enough. Even if you ask your own father or relative not a detailed question, you get a different answer. There is no point making fun of AI Chatbots Pascal BORNET
"My life experiences told me all the advice AI was giving me on a new career path was too good to be true. So I kept doing my research rather than blindly going along. Sadly, I wonder how many out there without that experience will just go along with what it tells them.
AI is always 1 step ahead... may not be in the right direction though
This is one of the reasons you need to really test and vett the results that AI provides. It will constantly learn and update itself, however it will take time to truly have confidence in its results.
1. The difference between prompting open or closed questions to AI...and among humans. 2. The difference between acquired knowledge(with or without AI) and turning to AI “in the moment”.