Anonymous wrote:People keep saying it’s a tool and it won’t “replace” human jobs. I think the framing of that line of thinking is flawed. What will happen is organizations will simply stop hiring and rely more on AI platforms, and just let normal attrition shrink down their workforce. Almost like a slow drip death.
AI is here and it is going to be phenomenally better within five years. So much so that entire business processes will be converted from human form to machine form.
Anonymous wrote:AI is good at destroying the water we need to drink.
Anonymous wrote:Anonymous wrote:The most critical issue with AI transformer technology is how incredibly resource inefficient it is. As a result:
1. It produces massively bloated code. Nobody cares because it works, and things have worked that way for a long time. It’s like designing a bus to transport a pallet of popcorn. Ship it after refactoring with AI. Good enough.
2. Data centers are using huge amounts of energy and resources. The advancements in the models are from exponential time in training each round using these massive resources.
3. There is no current signaling condition to get the companies working on these technologies to slow down investment because of speculation that AGI is just around the corner. At some point, if you stop paying people working on this who actually pay their bills and buy food, the whole thing is going to explode.
Eventually, the music is going to stop. Users are already getting throttled. Then, when the rug is pulled out or the fees are go way up and the ROI isn’t there for the end user, the tool goes away. If you have based entire workflows and working environments on the availability of the tool and a bunch of people have rotted their ability to do the work themselves, everything is fooked.
Or it’s all going to work out and nobody will have to work again or save for retirement
This is what I’m afraid of. Combine this with the fact that a whole generation of current teenagers and young adults has grown up with this and don’t know how to do much themselves, and we’ve got a problem.
Anonymous wrote:Anonymous wrote:AI is good at destroying the water we need to drink.
How?
Anonymous wrote:Data centers suck and AI seems to be looking for justifications. There are billions and billions invested in AI and now it seems people are trying to protect their money not actually meet a need.
Anonymous wrote:AI is good at destroying the water we need to drink.
Anonymous wrote:The most critical issue with AI transformer technology is how incredibly resource inefficient it is. As a result:
1. It produces massively bloated code. Nobody cares because it works, and things have worked that way for a long time. It’s like designing a bus to transport a pallet of popcorn. Ship it after refactoring with AI. Good enough.
2. Data centers are using huge amounts of energy and resources. The advancements in the models are from exponential time in training each round using these massive resources.
3. There is no current signaling condition to get the companies working on these technologies to slow down investment because of speculation that AGI is just around the corner. At some point, if you stop paying people working on this who actually pay their bills and buy food, the whole thing is going to explode.
Eventually, the music is going to stop. Users are already getting throttled. Then, when the rug is pulled out or the fees are go way up and the ROI isn’t there for the end user, the tool goes away. If you have based entire workflows and working environments on the availability of the tool and a bunch of people have rotted their ability to do the work themselves, everything is fooked.
Or it’s all going to work out and nobody will have to work again or save for retirement
Anonymous wrote:Pope Leo would like a word.
Anonymous wrote:The most critical issue with AI transformer technology is how incredibly resource inefficient it is. As a result:
1. It produces massively bloated code. Nobody cares because it works, and things have worked that way for a long time. It’s like designing a bus to transport a pallet of popcorn. Ship it after refactoring with AI. Good enough.
2. Data centers are using huge amounts of energy and resources. The advancements in the models are from exponential time in training each round using these massive resources.
3. There is no current signaling condition to get the companies working on these technologies to slow down investment because of speculation that AGI is just around the corner. At some point, if you stop paying people working on this who actually pay their bills and buy food, the whole thing is going to explode.
Eventually, the music is going to stop. Users are already getting throttled. Then, when the rug is pulled out or the fees are go way up and the ROI isn’t there for the end user, the tool goes away. If you have based entire workflows and working environments on the availability of the tool and a bunch of people have rotted their ability to do the work themselves, everything is fooked.
Or it’s all going to work out and nobody will have to work again or save for retirement
Anonymous wrote:Data centers suck and AI seems to be looking for justifications. There are billions and billions invested in AI and now it seems people are trying to protect their money not actually meet a need.