xpuente

Especially when, like this tool, the guy starts calling home 5 min after start (attempt caught by LuLu without taking a single screenshot). Supposedly is only performance and usage metrics,... but who knows.

I'm not sure that there is no empirical support: see [0]

[0] A. Roe, S. Pallas, Y. Kwon, and M. Sur, “Visual projections routed to the auditory pathway in ferrets: receptive fields of visual neurons in primary auditory cortex,” J. Neurosci., vol. 12, no. 9, pp. 3651–3664, Sep. 1992.

PS: I'm not saying that there is uniform initial connectivity. Just, the prediction level units (cortical columns) are unable to predict anything until they learn "something".

One might wonder how Predictive Processing/Coding works when the "cortex" is empty (i.e., at birth). I don't know if this is just armchair neuroscience wrapped in a bunch of mathematical flourishes.

No. Those figures are pretty "standard". Neither AMD or Intel have "invented" an OOO processor. Those figures mean nothing. Are the standard "big" boxes in any modern processor. The key details are inside.

E.g., https://uspto.report/patent/grant/10,282,296

The second elephant is don't split training from inference. There is no such thing as inference in biological systems. All these efforts are futile as long as we do not get rid of the GD.

This opens the opportunity to run virtualized iOS inside Android?

The right analogy is trying to understand why your favorite OS works, by trying to understand why certain window appears when you click in certain region of the screen. You need to understand up to certain level the underlying mechanisms (e.g. if you want to understand how an OS works, you need how a syscall works, then you need to understand how the processor works).

All this philosophical labyrinth of words seems futile. We need to have a right system level model of the cortex and subcortical structures to progress. I feel like we are trying to resolve this problem looking at the quantum effects in the transistors (using the previously cited analogy) [neuroscience] and looking to a datacenter [cognitive science]. We need to choose the right level of abstraction. We haven't figured out what is the right one in the last 100 year. We will do... and perhaps discover that Cortico-thalamic pathway in the von Neumman base of our OS...

Computer architecture is useless /s

Security through obscurity is a very bad idea. This is the main Achilles heel of Apple.

LN model not always works https://t.co/RNidCEXWcC?amp=1

Take a look at https://pdos.csail.mit.edu/6.828/2019/xv6.html

Perhaps the cause was that the ex-date of the latest dividend was 06/14/2021 [1]

[1] https://ycharts.com/companies/KO/dividend

Then, what is the value of making the software secure if the hardware isn't?

The hardware issue is terrifying. And the worst part, it seems not possible to fix it without trowing away decades of performance enhancements. This epic screw-up of epic dimensions from computer architecture guys won't go away that easy.

Right and...

> Side-channel attacks [20],[21], [22], [23], [24], [25] are beyond the scope of the paper

If all current hardware (i.e. OOO and caches) is vulnerable to speculative side-channel attacks, how they dare to say that is secure? With current hardware, nothing is secure (full stop)

DNN is a nice hammer, but brain is not a nail. Hopefully this hype will disappear soon.

Place Cell/Grid Cells/Head Cells/etc... might be not mapping space but cortex location (i.e., the "where" in the hippocampal complex isn't referring to physical space but from/to cortex location the "when" is recalled or should be stored). Rodent specific navigation abilities might be driving us toward the wrong interpretation of HC complex?

Why is the demo at 720p? Does not look good to do something like that.

Why not tools like https://github.com/ispc?

This seems really close to the metal, either to have a non-negligible maintenance cost or not being able to fully exploit the hardware at use.

It's so "sad" that our auditory pathway is constantly trying to modulate the input from the cortex (especially with information from the cortex). I wonder why those audiophiles are able to distinguish two headphones with an order of magnitude difference in price after 5 minutes of continuous listening... they must have some special wiring, I guess.

>it a few hundred years at most.

We will not wait for that long. When the fundamental "piece" comes out, all our current knowledge in neuroscience will fall into place very quickly.

"Chemical" based intelligence/life is only the bootstrap to "electron" based intelligence/life. Most likely we might be unable to understand that until ourselves cross that line. They will wait for it.

Huge block size (128bytes). Probably they are using Power7 alike scheduling (i.e. scheduling are working on packs of instructions, That might explain the humorous 600+ entry ROB. Certainly the wake-up logic can't deal with that one-by-one with such a low power). If you combine that with JIT and/or good compilers, you get this. I guess only Apple can pull this trick: they control all the stack (and some key power architects are working there).

I guess being the first one, might have some merit, right? Mújica was who discover it in 1993. This how science and awards works now: the system corruption is pervasive. There is no potential explanation to exclude Mújica from such award, otherwise.

Hopefully, Konrad Zuse will regain his seminal role in current computers (i.e. Stored-program computer). Von Neumann and Turing don't deserve it.

> So the compiler with "zero dependencies" is a dynamically linked binary > with dependencies on libpthread and libc.

And requires an OS to run too. That's another dependency! This and memory leak, seems quite forced. Ad homminens doesn't help either.

xargs should be there. The most useful tool IMO.

I think it is only approved for treatment in Japan

Wasn't this preceded by Konrad Zuse's Z1 and Z3?

Kevin was also pretty arrogant, but when you see is a newcomer to the field, it is understandable.