calf

36 ms·

481.
by calf 3y ago
I may be having this now, E-Tube tinnitus due to seasonal allergies and inflammation, likely worsened by prior earwax/infection/COVID factors. It's been 3 months of pulsatile tinnitus, this week I am finally waking up in sile
482.
by calf 3y ago
That answers the wrong question.
483.
by calf 3y ago
You're not a Boeing shill but in one paragraph you use 1) ad hominems about people's panic and "rationality", 2) whataboutisms of the form "but flu killed more people than Covid", 3) straw argumentation about t
484.
by calf 3y ago
They're a 3 month old account.
485.
by calf 3y ago
Class is intersectional. If I, an advanced PhD level educated scientist person spent the rest of my life toiling in a restaurant kitchen, I am both working class but retain many intellectual and social advantages conferred by my past backgr
486.
by calf 3y ago
Then TSMC would be paying its Taiwan employees a lot less, the disparity could be a problem somehow.
487.
by calf 3y ago
It is intellectually dishonest to call the military-industrial complex merely "customers that some Google employees didn't like". Humans are more than their companies' mission, and your freedom to exercise your political
488.
by calf 3y ago
What makes transformers the fundamental piece over say, big datasets, or Moore's law, or deep nets in general, etc?
489.
by calf 3y ago
Well, if neural nets are nothing more than their optimization problem then why isn't there a mathematical proof of this already? And why isn't that reductionism? We don't say human learning is merely the product of millions o
490.
by calf 3y ago
Or, we don't surely know what deep nets are doing. If I give you an LLM or AlphaGo, you cannot look at it and tell me what it does. It's a bunch of parameters and edge weights. The counterargument is something like, deep nets ar
491.
by calf 3y ago
When they assert theorems like "classical TMs can simulate quantum TMs" they mean the simulation is gapless. Otherwise they use the term approximation.
492.
by calf 3y ago
No, the articles specifically say that one reason Apple recruits RISC-V experts is as an alternate backup plan, going well beyond secondary processors. I don't think that even ISAs today are easy to design. They look easy because the
493.
by calf 3y ago
I'm still researching my question, and yet other articles say Apple has recently recruited RISC-V experts. My question isn't a concrete question of why Apple chose ARM (which is speculation), but rather why generically a large c
494.
Ask HN: Why does Apple use an architectural license from ARM at all?
6 points by calf 3y ago|10 comments
495.
by calf 3y ago
I'm imagining a row of little mice sleeping on their right side in a lab experiment
496.
by calf 3y ago
To focus on one issue, the neural machine that is chosen by optimization is one that "best" fits the photos of the sky. But those multiple optima do not preclude a neural machine whose parameter values are computationally equivale
497.
by calf 3y ago
I've read this thread exchange with interest, but what about the results that quantum computers are simulatable by classical computers? See David Deutsch 1985. This would reduce the issue of infinite Hilbert spaces to simulation using
498.
by calf 3y ago
So I'm trying to understand your argument here, but why isn't "Reasoning is a cognitive process" circular logic? AlphaGo wasn't reasoning, how? I think reasonably AlphaGo has modeled a world, and it is by design s
499.
by calf 3y ago
Every program is a compressed representation of its output. This is from Kolmogorov complexity, which you learn this in any CS complexity theory course. So, a neural network being a compressor/decompressor is nothing special. Note, how
500.
by calf 3y ago
People are just outright abusing the terminology. OP's argument would also conclude that a sorting algorithm is not a "real" algorithm because it too can be done by an infinite lookup table. That said, the general debate is a
501.
by calf 3y ago
Marco Pierre White is on record for saying he doesn't bother to make stock at home.
502.
by calf 3y ago
Yes correct! I should've written "shrink to 70%" or something like that. It was a thinko.
503.
by calf 3y ago
(P.S. Just to head off a possible diction issue - biomimetics just means taking something from nature as inspiration for doing something, it doesn't mean the reverse which is to "try to understand / emulate nature completely
504.
by calf 3y ago
10 x 10 = 100 and 14 x 14 = 196. So in order to double the transistors we only need to shrink by 70% each time. So I wonder if the emphasis on exponentials is misleading. A geometric decrease in feature size is sufficient, there were lots o
505.
by calf 3y ago
I'm not interested in any of those issues. I only raise them as counterexamples to the answers given previously. What I am interested in is whether the M3 or M2 is better future-proofing option even for casual usage, on a 5+ year tim
506.
by calf 3y ago
I did consider that, and what you're implying is the M2/M3 wouldn't matter for now*. The issue is which one would be future proof 5+ years later. It seems the answer is M3 by 2 years, because yesterday's Ars Technica r
507.
by calf 3y ago
Except I'm not interested in ad homineming the incentives of the salesperson, of which I am well aware. I am interested in if there is a valid argument, which entails the last bit of what you yourself said: > Just examine the devi
508.
by calf 3y ago
I get the Chomskyan objection re. statistical machine learning, I am partial to it. But consider these LLMs and such as extremely crude simulations of biological neural networks. They aren't just any statistics; these are biomimetic
509.
by calf 3y ago
I admired Paul Graham's blog posts.. when I was an impressionable college sophomore. Then I guess after I went to grad school and actually read a lot and tried to do some science and research. I find this kind of popular writing superf
510.
by calf 3y ago
So then is the 787 considered a safe plane? Compared to the 777 and 747? I've read many positive comments by flyers, but less focusing on its safety.

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