This is our future: short term growth in economy and stock markets followed by massive layoffs followed by economic crash followed by societal collapse. If you think this is all BS and you will be always smarter than any machine, realize that raw computing power grows by 10^6 every ~25 years. AI seems to follow the same growth. If you think you are safe, read what Geoffrey Hinton, one of the fathers of ML, said about…
Anthropic Chief Says AI Could Surpass 'Almost All Humans ' Shortly After 2027
41–50 of 53 posts
Re: Anthropic Chief Says AI Could Surpass 'Almost All Humans ' Shortly After 2027
#42This is our future: short term growth in economy and stock markets followed by massive layoffs followed by economic crash followed by societal collapse. If you think this is all BS and you will be always smarter than any machine, realize that raw computing power grows by 10^6 every ~25 years. AI seems to follow the same growth. If you think you are safe, read what Geoffrey Hinton, one of the fathers of ML, said about…
> raw computing power grows by 10^6 every ~25 years Good thing that the number of neurons in our brains are so many orders of magnitude larger than this that it doesn't matter. I think what you're getting at is that in the next few years we're going to have AGI, which will eventually cause societal collapse. Under that assumption, while all of the AGI arguments are pretty poor, computing power increases over time is…
It is hardly impossible there are remote white color workers at 30 right now who have to get a 6am-3pm/3pm-11pm/11pm-6am factory job at 50.
It is such a miserable thought I think the idea of societal collapse is more comforting.
Re: Anthropic Chief Says AI Could Surpass 'Almost All Humans ' Shortly After 2027
#43This kind of hype is nutso. Look I use LLMs every day all day but they are assistants. They aren’t inventors or prognosticators. They cannot predict how the market will react to a product or idea. They cannot and will never be able to construct anything new outside of their training data. They’ll always need humans in the loop to come up with new interesting things and those humans will be the ones doing most of the…
I'm with you but I'm also thinking about how I didn't even see the capability we have no being as close as it was 10 years ago. In 2015 I would have guessed 2030 or beyond.
10 years on from that I don't think what we have now is so shocking.
The main problem is this waive of the hand "..and then AGI".
Who knows, maybe we even find AGI is not as useful as what it seems like it would be right now.
It mostly worries me the way "AGI" has taken on this mythic, modern quest for the holy grail/philosophers stone feel.
Re: Anthropic Chief Says AI Could Surpass 'Almost All Humans ' Shortly After 2027
#44Earlier quoted context omitted.
> [nukes] mass use Modern arsenals include a range of targetable weapons. Hopefully the "strategies" of would-be predators are not based on AI hallucinations.
It's really helpful for discussion if you've read the article the thread is based on btw.
It does include this "... then magic happens" speculation:
[If] we make good enough AI systemsRe: Anthropic Chief Says AI Could Surpass 'Almost All Humans ' Shortly After 2027
#45Earlier quoted context omitted.
It's really helpful for discussion if you've read the article the thread is based on btw.
Does the article include a statement about hallucinations? It does include this "... then magic happens" speculation: [If] we make good enough AI systems
Re: Anthropic Chief Says AI Could Surpass 'Almost All Humans ' Shortly After 2027
#46Earlier quoted context omitted.
> raw computing power grows by 10^6 every ~25 years Good thing that the number of neurons in our brains are so many orders of magnitude larger than this that it doesn't matter. I think what you're getting at is that in the next few years we're going to have AGI, which will eventually cause societal collapse. Under that assumption, while all of the AGI arguments are pretty poor, computing power increases over time is…
What also gets left out of this is the wage equilibrium of millions of out of work humans undercutting robots for factory work. It is hardly impossible there are remote white color workers at 30 right now who have to get a 6am-3pm/3pm-11pm/11pm-6am factory job at 50. It is such a miserable thought I think the idea of societal collapse is more comforting.
I must have watched the movie Terminator 2 more than 50 times. I know the AI apocalypse very well. Don’t worry about it. If the day comes, we’ll figure it out.
Re: Anthropic Chief Says AI Could Surpass 'Almost All Humans ' Shortly After 2027
#47Their problem really is in the present, no one should be buying their dangerously premium productivity boost plans when others will offer intelligence too cheap to meter. Such lack of faith in their own AI to solve future problems kind of exposes the doubt tree about their current path.
None of these Hype AI CEOs are willing to put their money where their mouth is, draw up a contract to sell all your hard assets for their projected cost to replace them in 2028. If so confident your AI can replace human labor for near-free by then what is the worry? Oh no, it won't build a yacht or a house by then... I know.
Re: Anthropic Chief Says AI Could Surpass 'Almost All Humans ' Shortly After 2027
#48Earlier quoted context omitted.
>raw computing power grows by 10^6 every ~25 years That is really not true anymore unless there will be a new technology that can do much better than silicon electronics. Doesn't mean that were safe, but it's not that clear. Edit: to expand, a single transistor is made of a pretty pedestrian number of atoms these days. The gate pitch of TSMC "3 nm" is about 40 nm (not all of which is transistor) and silicon atoms are…
Your point is true but it is too narrow. A similar argument was bandied about regarding the CPU clock which hit a wall which was defeated with multi-cores and parallelization. The atom wall you are talking about is crushed with 3D semiconductors (hybrid bonding, wafer to wafer..., HBM), wafer scale CPUs like Cerebras, larger clusters, faster networking... Incidentally, massive parallelization suits AI just fine. Do y…
The end of Moore's Law is here (for now) even with multicores and everything else, by the way. That you can get more compute by throwing more resources at the problem doesn't really count. The big deal about Moore's Law was that it was free. The 3D stuff, clusters, etc, can increase the number of transistors... but it's gonna cost proportionally more in fabrication and energy when running.
Re: Anthropic Chief Says AI Could Surpass 'Almost All Humans ' Shortly After 2027
#49Earlier quoted context omitted.
Like 80% of the human brain is used for things that AI does not need (digestion, breathing, etc). So I think that automatically disqualifies your stance, but I am open-minded and would like to know what percent of the human brain you think is vital for AI to outperform us.
Even if you discount the role of the whole body as an integrated system, signaling and talking to itself, coordinated by the brain... you're still talking about 16 billion neurons in the cortex alone. That may sound like a number we can approach or exceed with modern tech, but neurons are not transistors. Those 16 billion neurons in the cortex form over 140 TRILLION connections through synapes. Those are both computi…
Re: Anthropic Chief Says AI Could Surpass 'Almost All Humans ' Shortly After 2027
#50Earlier quoted context omitted.
Social nets are a thing. Not particularly worried about anyone dying off. At least in mid to rich countries. Bigger concern in those to me is what sort of existence it’ll be. State keeps you alive sure but I’d like to do a bit more than that
Why guarantee the social safety nets? There's no benefit for those in power to keep them and we already let those in the U.S. without means die. Why should the case be different here?
See that us insurance ceo getting shot. Lambo is more fun if you’re not at risk of getting shot