Mercedes’s stars have been on springs for decades indeed. You can easily push them over (but make sure you put it back nicely). I think Rolls Royce’s Spirit of Ecstasy pops back into the hood but I don’t know how that works on impact.
Agree.
I found it more tempting to accept the initial answers I got from GPT4 (and derivatives) because they are so well written. I know there are more like me.
With the advent of working LLMs, reference manuals should gain importance too. I check them more often than before because LLMs have forced me to. Could be very positive.
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Perplexity.ai has been my go to for this reason.
It often brings up bad solutions to a problem and checking the sources it references shows it regulary misses the gist of these sources.
There sources it selects are often not the ones I end up using. They are starting point, but not the best starting point.
What it is good for is for finding content when I don’t know the terminology of the domain. It is a starting point ready to lead me astray with exquisitely written content.
Find trustworthy sources and use them.
Do you fact-check the answers?
Do you fact-check the answers?
I am waiting for federation to land. Would love to give it a spin and see how smooth that works across instances.
We also ask for a GitHub handle but when one supplies Codeberg or GitLab it’s seen as very positive. Might not be the case for standard HR though.