Re:General Theory of Neural Networks
by proof_by_vibes on Sunday July 14, 2024 @04:16PM
(#40962960)
The excitement of new horizons is necessary for innovation, and a substack article is a safe way to express that excitement. It's clearly understood by the choice of medium that this is meant to be speculation, so there aren't any significant risks in engaging with the text on its own terms.
architecture astronauts let loose on unified field theories..
talking warm and fuzzy - big bold ideas.
let them, i say, until, the tide shifts to something else tomorrow, and a new generation of big-picture thought leaders take over dumping their insufferable text on the populace.
Re:General Theory of Neural Networks
by cfgauss2718 on Sunday July 14, 2024 @04:32PM
(#40963051)
Agreed, I can’t help but feel there is some overcompensation driving the style of writing. It was difficult to finish.
Re:General Theory of Neural Networks
by grape_surgeon on Sunday July 14, 2024 @09:30PM
(#40964599)
Yeah my bs meter went off in seconds. So much fluff
Can you share the source code? (Half joking)
Re:General Theory of Neural Networks
by mistermann on Monday July 15, 2024 @11:50AM
(#40968954)
You should write a blog post on this (not joking at all).
You’re right. Writing is hard—especially when you’re cutting across disciplines. I wasn’t happy with the writing, but I stand by the claims.
Personally, I find the writing to be just fine. It is clear and cogent. I don’t have enough background to follow all the details, but I certainly hope you are not discouraged from pursuing big ideas by negative comments on style!
Anyway, this doesn't even try to make the case that that equation is universal, only that "learning" is a general phenomena of living systems, which can be modeled probably in many different ways.