A coworker did something similar recently. Besides pasting internal stuff into a foreign model like a moron, it had some nice ideas, but lacked a lot of information it simply could not have known. Things like, we already did this, but in an unrelated repository, and we didn’t mention it in this part of the docs. Or, since the person did not know / input the overall purpose and constrains correctly, the LLM proposal was cool, but missed the point completely. Or, the LLM forgot to mention that its plan would require buying hardware we simply don’t have yet, and which would be really expensive and hard to obtain right now, because, idk, hallucinations or it just assumed it was all already there.
Yeah, not impressed. Neither by that idiotic coworker nor by the proposal.
I figured you meant the coworker, but its something I think any AI user should be aware of, especially just using a public web browser version where they definetly will store you data and could leak private info.
I don’t use it often enough to have stats, but I did notice large differences between public AI models.
I had an odd Secure Linux permission issue after an update so I figure WTH let’s try AI debugging.
I pasted same info into Chatgpt and Googles AI. One suggested a bunch of debug steps which made sense, but it talked ahead of itself. It would say check this, then do this, then this (assuming you had answered a Y/N scenario for step 1 already. So it was a complicated interaction, because it gets your response, formulates new plans, but assumes you also completed step 2 and 3 from before.
It led itself around in circles with pages and pages of suggestions. Even though none of the steps were poor choices, they made logical sense, it just couldn’t sort it out.
The other one took my paste, asked one question, and gave me the solution. The update had stripped the SELinux rule off the file and become an undefined default.
A coworker did something similar recently. Besides pasting internal stuff into a foreign model like a moron, it had some nice ideas, but lacked a lot of information it simply could not have known. Things like, we already did this, but in an unrelated repository, and we didn’t mention it in this part of the docs. Or, since the person did not know / input the overall purpose and constrains correctly, the LLM proposal was cool, but missed the point completely. Or, the LLM forgot to mention that its plan would require buying hardware we simply don’t have yet, and which would be really expensive and hard to obtain right now, because, idk, hallucinations or it just assumed it was all already there.
Yeah, not impressed. Neither by that idiotic coworker nor by the proposal.
Well i was careful and used a private LLM, and didn’t include any customer specific info just in case.
That “moron” was not directed at you, but only at my coworker. I just wanted to point out that it seems to be a bit hit-or-miss sometimes :)
Apparently you write good meeting notes.
I figured you meant the coworker, but its something I think any AI user should be aware of, especially just using a public web browser version where they definetly will store you data and could leak private info.
I don’t use it often enough to have stats, but I did notice large differences between public AI models.
I had an odd Secure Linux permission issue after an update so I figure WTH let’s try AI debugging.
I pasted same info into Chatgpt and Googles AI. One suggested a bunch of debug steps which made sense, but it talked ahead of itself. It would say check this, then do this, then this (assuming you had answered a Y/N scenario for step 1 already. So it was a complicated interaction, because it gets your response, formulates new plans, but assumes you also completed step 2 and 3 from before. It led itself around in circles with pages and pages of suggestions. Even though none of the steps were poor choices, they made logical sense, it just couldn’t sort it out.
The other one took my paste, asked one question, and gave me the solution. The update had stripped the SELinux rule off the file and become an undefined default.