Marco Zocca
@ocramz.bsky.social
320 followers 710 following 640 posts
ML, λ • language and the machines that understand it • https://ocramz.github.io
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ocramz.bsky.social
CERN for frontier AI >>>
ocramz.bsky.social
but then, what counts as market penetration in this case? OAI being profitable? their customers booking profits that are directly attributable to GPT? etc.
ocramz.bsky.social
speaking of omens, my 1yo started picking The origins of totalitarianism from the shelf she barely reaches
ocramz.bsky.social
have a good trip! I'd love to visit SG again soon
ocramz.bsky.social
changing the constraints counts as cheating ;)
ocramz.bsky.social
writing a blogpost by hand, with no genai content, cookies paywalls or monetization, like a real caveman
ocramz.bsky.social
I know ~nothing abt econometrics, but it seems to me a bubble could at least be modeled with >2 parties, with the transition occurring when the second stage cannot sell to the 3rd anymore
ocramz.bsky.social
evil vector spotted in the wild
ocramz.bsky.social
is grouped query attn also called multi-query somewhere?
ocramz.bsky.social
the kids figured out an interesting "pair layback" #climbing technique
ocramz.bsky.social
This sounds like a great shared task for the next NeurIPS
dlevenstein.bsky.social
So I get that a Neuroscientist Couldn’t Understand a Microprocessor, and TBH I’m ok with that. But could a neuroscientist understand a deep RNN? Because that seems like a more pressing issue.

*assuming you think the brain operates through the parallel activity of many connected input/output units
ocramz.bsky.social
days since inspecting the data as a first thing would have saved hours of work: 0
ocramz.bsky.social
what changed in v2 and v3?
ocramz.bsky.social
anyway, @kelseyhightower.com had a rather simpler point around chaining bash commands. We could take a page from probabilistic programming and finally acknowledge that even regular bash commands are nondeterministic if you open a socket or file, and model that at the type level
ocramz.bsky.social
yes but the fundamental shift is for _tools_ to be nondeterministic and not have accountability at the same time.
ocramz.bsky.social
kids figuring out language compositionality eary:

my 4yo is on a swing next to her friend, who speaks little english still.

As I tell my kid to have a nice day at school, she replies "si papà", and the other one "si, <name>'s papa" 🐵🐵
ocramz.bsky.social
shall we control for "entities that are in the pocket or have a direct stake into the companies in question"? bc that's what I feel is the axis of this issue
ocramz.bsky.social
Thank you for elaborating your view; I learned something new today.
ocramz.bsky.social
being able to do all experiments in silico means that we can be more deliberate with interventions, and that much more can be controlled for.

I think MI is still figuring out how to control for one factor at a time.
ocramz.bsky.social
building theory is generally slower than making gpu go brr, you'll agree on that :)
ocramz.bsky.social
as a matter of fact "interpretable ML" is way broader than "mech interp for deep learning", and has an much more complex history of methods and results.
ocramz.bsky.social
the common thread is the vast and barely coherent phenomenology and the lack of a consensus on even the right observation methods.
ocramz.bsky.social
I mean, I care that it doesn't break and that it serves me well, but do I feel for it?
ocramz.bsky.social
this is super interesting, and a thought I also recently had.

I really must ask though whether having an attachment or a functional dependency on some piece of tech is really the same as empathizing or even identifying with it.