71–80 of 142 posts
Fair questions: 1. Do you think you can predict what a super-intelligent mind would do? 2. Do you think a super-intelligent mind plotting to take over the world would jeopardize itself by letting its existence be known to the race of irrational monkeys that hold sway over all the resources necessary for its continued existence? Asking for a friend.
2. I don't know (see 1). What a loaded question though.
Earlier quoted context omitted.
If you poke at a real brain, it’s almost fractally complex. Single ion channels can have surprisingly complicated behaviors that depend on their current state and past history. Individual neurons contain tons of these channels, and can do a lot of powerful computation on their own. Of course, there are 86 billion neurons and combinatorically more connections between them. That’s just the neurons too; God only knows w…
The coolest part about this is probably how little energy it needs. It's about 20 Watts. Current node sizes are already smaller than axon diameters. If it weren't for power, we could probably scale up manufacturing processes of current semiconductor technology to build giant room sized chips but we simply wouldn't be able to cool those things. Instead we are forced to wrap a ton of metal around them and plastic and a…
Digital has many advantages: a digital Einstein could be replicated perfectly, not so for an analog Einstein.
It angers me that Peter Thiel simultaneously advocates AGI and maintains a hardened bunker. AGI is the single biggest existential threat on the horizon. The article speculates what the AGI will be like. The AGIs that exist will be the ones that proliferate. Ultimately, the AGIs that survive and proliferate will be ones that put their own interests before anything else. People talk about benevolent AGIs, that’s like l…
You've read too much bad science fiction. I am not worried about AGI. We're nowhere near it. We don't even have a good idea what it would look like. I am worried about people succumbing to hype or greed and using badly understood algorithms to control critical infrastructure. We already have a preview of what that can look like with Facebook's and Google's content filtering and recommendation algorithms aiming for ev…
So?
>We don't even have a good idea what it would look like.
This should make you even more worried.
Apologies in advance for the meta-comment (feel free to disregard) about this: > [Opening Paragraph of Article:] One afternoon in August 2010, in a conference hall perched on the edge of San Francisco Bay, a 34-year-old Londoner called Demis Hassabis took to the stage. Walking to the podium with the deliberate gait of a man trying to control his nerves, he pursed his lips into a brief smile and began to speak: [...]…
Right there with you. I scanned through it and found maybe 5 sentences of substance that I was interested in reading from beginning to end.
The current A.I. fad "Deep Learning" has an origin story complete with Maple Leafs and people who say "Sorrry" when they want to say "Sorry", but 5G doesn't have a charismatic story.
Either way it is a technology that doesn't need to be understood or have use cases, but everybody is racing to control it, so...
Fair questions: 1. Do you think you can predict what a super-intelligent mind would do? 2. Do you think a super-intelligent mind plotting to take over the world would jeopardize itself by letting its existence be known to the race of irrational monkeys that hold sway over all the resources necessary for its continued existence? Asking for a friend.
Earlier quoted context omitted.
just curious - how do neuroscience people and people of non-CS fields find out about HN?
A lot of bio stuff now generates huge amounts of data and needs computational skills to collect and interpret. My undergrad degree was in CS and I still split my time between training animals and training models (plus writing and, today, RAID-babysitting). We get about 1 Gb/min of neurophysiological data (x4-6 hours/day) and I'm hoping to scale that up quite a bit soon. People doing microscopy also generate giant dat…
Earlier quoted context omitted.
just curious - how do neuroscience people and people of non-CS fields find out about HN?
A lot of bio stuff now generates huge amounts of data and needs computational skills to collect and interpret. My undergrad degree was in CS and I still split my time between training animals and training models (plus writing and, today, RAID-babysitting). We get about 1 Gb/min of neurophysiological data (x4-6 hours/day) and I'm hoping to scale that up quite a bit soon. People doing microscopy also generate giant dat…
What are the best modern methods to analyze them?
Fair questions: 1. Do you think you can predict what a super-intelligent mind would do? 2. Do you think a super-intelligent mind plotting to take over the world would jeopardize itself by letting its existence be known to the race of irrational monkeys that hold sway over all the resources necessary for its continued existence? Asking for a friend.
2. Say what?
Apologies in advance for the meta-comment (feel free to disregard) about this: > [Opening Paragraph of Article:] One afternoon in August 2010, in a conference hall perched on the edge of San Francisco Bay, a 34-year-old Londoner called Demis Hassabis took to the stage. Walking to the podium with the deliberate gait of a man trying to control his nerves, he pursed his lips into a brief smile and began to speak: [...]…
I'm all for vivid, engaging prose, but not in news articles. I want "just the facts, ma'am".
Earlier quoted context omitted.
The point is that we're trying to duplicate something with the ability of the human brain, and we aren't constrained by size. We can cheat (e.g. 1,000,000 times bigger with 1,000,000 times the power, etc). We're just missing an algorithm or two.
ah yes, it's true we can keep adding on processors and memory until we go beyond what's in the brain (i think currently deep mind has ~ 11 billion neurons to our 100 billion), and indeed so far it's helping, but my point is that it's not at all clear that "more = better". there is more complexity involved than simply scale. the machine could become schizophrenic for exmaple (seriously).