Yes, humans kinda brute-forced intelligence with current assets - made it bigger (with some birthing issues) & more power hungry (with some cooling issues), but it mostly works.
I have LOTR directors cut on my server, haven’t bothered reencoding it because I’m not super experienced with keeping hdr 10 going to h265 or equivalent. Return of the king alone is around 130 gigs across two files, jellyfin says its bitrate is about 70 mbps.
Maybe it’s just me but for 4k60fps h.265 video above 20 mbps looks indistinguishable to me unless I pause on a frame side by side to compare. I’m not sure about h.264 but it can’t be too many times worse
I compressed some of the 4k rips I did, all my dvd and 1080p blurays, it’s the HDR only that’s stopped me from some of them as I found I lost it with the settings I was using and I put it on the “list of things I’ll come back to later” shelf.
I recall some banding on a few of the dvd rips, probably was a little too aggressive with the settings I used, but they’re still definitely watchable
That’s capturing everything. Ultimately you need only a tiny fraction of that data to emulate the human brain.
Numenta is working on a brain model to create functional sections of the brain. Their approach is different though. They are trying to understand the components and how they work together and not just aggregating vast amounts of data.
Given the prevalence of intelligence in nature using vastly different neurons I’m not sure if you even need to have an exact emulation of the real thing to achieve the same result.
Of course, not to say the data isn’t also important though. It’s very possible that we’re missing something crucial regarding how the brain functions, despite everything we know so far. The more data we have, the better we can build/test these more streamlined models.
Ultimately you need only a tiny fraction of that data to emulate the human brain.
I am curious how that conclusion was formed as we have only recently discovered many new types of functional brain cells.
While I am not saying this is the case, that statement sounds like it was based on the “we only use 10% of our brain” myth, so that is why I am trying to get clarification.
They took imaging scans, I just took a picture of a 1MB memory chip and omg my picture is 4GB in RAW. That RAM the chip was on could take dozens of GB!
Oh I’m not basing that on the 10% mumbo jumbo, just that data capture usually over captures. Distilling it down to just the bare functional essence will result in a far smaller data set. Granted, as you noted, there are new neuron types still being discovered, so what to discard is the question.
Not taking a position on this, but I could see a comparison with doing an electron scan of a painting. The scan would take an insane amount of storage while the (albeit ultra high definition) picture would fit on a Blu-ray.
You find a computer from 1990. You take a picture (image) of the 1KB memory chip which is on a RAM stick, there are 4 RAM sticks. You are using a DSLR camera. Your image in RAW comes out at 1GB. You project because there’s 8 chips per stick, and 4 sticks it’ll 32GB to image your 4KB of RAM.
You’ve described nothing about the ram. This measurement is meaningless other than telling you how detailed the imaging process is.
Never seen Numenta talked about in the wild! Worked with them on a pattern recognition project in college and it was freaky similar to how toddlers learned about the world around them.
No, that captures just the neuroanatomy. Not the properties like density of ion channels, type, value of the synapse and all the things we don’t know yet.
“We did the back-of-napkin math on what ramping up this experiment to the entire brain would cost, and the scale is impossibly large — 1.6 zettabytes of storage costing $50 billion and spanning 140 acres, making it the largest data center on the planet.”
Look at what they need to mimic just a fraction of our power.
In fairness, the scan required such astronomical resources because of how they were scanning it. They took the cubic millimeter chunk and cut it into 5,000 super thin flat slices and then did extremely high detail scans of each slice. That’s why they needed AI, to try and piece those flat layers back together into some sort of 3D structure.
Once they have the 3D structure, the scans are useless and can be deleted.
In time it should be possible to scan the tissue and get the 3D structure without such extreme data use.
Imagine donating your body to science and the scientists slice your brain and scan them, then decades later you suddenly wake up in a virtual space because the scientists are finally able to emulate a copy of your brain in a supercomputer.
Sounds good to me. You should also look into cryonics. Basically you sign up with a company and donate your body to them, when you die they pump you full of antifreeze and then vitrify you in liquid nitrogen. Right now there’s no way to recover from it, the antifreeze is toxic and we don’t yet know how to undo the cell damage from freezing. But the idea is someday in the future we will figure those things out, and then hopefully be able to thaw the frozen dead person, fix the damage caused by the freezing process, fix whatever problem killed them in the first place, and reanimate them.
For a lower fee, they will cut off your head and just freeze that. Idea being that someday in the future they will be able to transplant your brain into an artificially created body.
It’s not even complete. You might have the physical brain tissue, but that tissue is stateful. The tissue contains potentials and electrical charges that must be included in a complete model.
Just gotta lower the clock speed enough for us not to notice. As long as we don’t interact with the outside world, just other stored human brains, it can be slow as molasses and we won’t notice.
Why anyone teams up with a company with its greatest achievement being a high score on the “I wish they hadn’t shut that down” list, is beyond my understanding.
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