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Ramblin' & Amblin' Field Notes with Mike Hall (Staff Software Engineer) Recorded on the move: engineering observations, systems architecture, and software craftsmanship reflections.
I'm recording this video and the way you're going to see it
is because I've recorded the video and then I upload it to
a Google Drive and then all the pipeline stuff happens. What it eventually does is it ends up back on my computer
and where I run a enrichment and publishing pipeline which
is going to take the video, it's going to transcribe it, it
's going to
enrich the content, build a description and title based off
of my content and my corpus of data, then it is going to
publish a video to the appropriate channel playlist, well
channel and playlist and then yeah then you'll see it if
you if you watch my channel at least I'll see it and what's
really interesting about this for me is not just that this
is all going to happen but
it's also in the context of an article I'm putting together
on AI SLOP which is not really the SLOP, maybe it's right,
I don't know but that's the trick is that while we can do
stuff and build automation pipelines and all this amazing
stuff with the tools and it just like happens almost
instantaneously
we're able to be able to do stuff where yeah there's an
outcome but is it the right thing I don't know I don't know
and like in this case you know it gives you a false sense
of confidence somebody might look at some information that
was spit out by the AI and because the AI generated
something that was usable passively usable then the
providence of the providence of whatever text that comes
out in numbers and stats is
and recommendations on what the the best specialized skill
tool what I'm trying to say is that it was a lot of audio
audio work was done and for cleaning up a video that had
gotten corrupted and you could say yeah it looks like or it
sounds like it's better but all of the stats and the
numbers you know what I looked at is yeah I could do
research and I could figure out what all of this stuff
means but to leapfrog from problem to here is the complete
solution
it makes me think about what people are talking about what
people are talking about AI saying oh we solved all these
hypotheses and all of these impossible formulas but if we
can't prove it then how do we know and if we can't
reproduce it then how do we know how to prove it so yeah I
'm doing this and it's surreal because it is something that
works and in this case you know I know all of the
steps of what happens and why it works and how it works but
there are decisions to get made by the AI tools based off
of information that most of us are not really equipped to
assess the accuracy or provenance or validity of any of
those numbers and then we go and we repeat those numbers
and repeat those statements and I've seen it I've seen it
in action
and this is just a particularly interesting opportunity to
exercise this so hopefully this will be interesting all
right we're at four minutes almost here all right thanks
bye