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We should also make all nuclear weapons blueprints open source on github- We'll be much safer if everyone can take a look at them!

by drcode 4y ago

endisneigh 4y ago
the analogy is more like nuclear physics should be opened up, which it has. (note: I'm not arguing for or against open models, but AI is not analogous to nuclear weapons. AI would be more analogous to nuclear physics, and skynet to a nuclear bomb)
olliej 4y ago
and with many eyes we'll be able find any bugs! :D
jacquesm 4y ago
I can see a kickstarter in the near future.
verdverm 4y ago
micro drone swarms will eventually be much more effective than a nuclear weapon, less collateral damage and no radioactivity afterwards
- drcode 4y ago
  Getting shot by a micro drone sounds painful- I'm at least hoping the the AI Yann and Andrew help create will be smarter than that, and will have found a less painful way to kill us
  - verdverm 4y ago
    It will be more like a pin prick or a grenade. The tech is basically here already and we don't need AGI to realize the potential. Just look at what they are doing with drones in Ukraine to see where things are headed in warfare. Now pack them into a cluster bomb like delivery system and tell them to kill anything that looks like a human.
thewataccount 4y ago
The information required to build one is already available - albiet not a highly optimized one. How to refine uranium, the design, etc. You can even buy uranium on amazon legally. The main barrier to entry for them is the massive amount of refinement required to make any useful amount of the required materials, like multiple warehouses size operation. --- The big difference here is stable diffusion has shown you can train a highly capable model under 1 million dollars. LLaMa is making some interesting advances as well (finetuning a LOrA takes ~3 hours on a 4090). Training/finetuning/inference capable AI is quickly becoming more feasible (albiet trailing the commercial stuff) for the average consumer hardware.

We should also make all nuclear weapons blueprints open source on github- We'll be much safer if everyone can take a look at them!

by drcode 4y ago

We should also make all nuclear weapons blueprints open source on github- We'll be much safer if everyone can take a look at them!

endisneigh 4y ago

the analogy is more like nuclear physics should be opened up, which it has. (note: I'm not arguing for or against open models, but AI is not analogous to nuclear weapons. AI would be more analogous to nuclear physics, and skynet to a nuclear bomb)

olliej 4y ago

and with many eyes we'll be able find any bugs! :D

jacquesm 4y ago

I can see a kickstarter in the near future.

verdverm 4y ago

micro drone swarms will eventually be much more effective than a nuclear weapon, less collateral damage and no radioactivity afterwards

drcode 4y ago
Getting shot by a micro drone sounds painful- I'm at least hoping the the AI Yann and Andrew help create will be smarter than that, and will have found a less painful way to kill us
- verdverm 4y ago
  It will be more like a pin prick or a grenade. The tech is basically here already and we don't need AGI to realize the potential. Just look at what they are doing with drones in Ukraine to see where things are headed in warfare. Now pack them into a cluster bomb like delivery system and tell them to kill anything that looks like a human.

thewataccount 4y ago

The information required to build one is already available - albiet not a highly optimized one. How to refine uranium, the design, etc. You can even buy uranium on amazon legally. The main barrier to entry for them is the massive amount of refinement required to make any useful amount of the required materials, like multiple warehouses size operation. --- The big difference here is stable diffusion has shown you can train a highly capable model under 1 million dollars. LLaMa is making some interesting advances as well (finetuning a LOrA takes ~3 hours on a 4090). Training/finetuning/inference capable AI is quickly becoming more feasible (albiet trailing the commercial stuff) for the average consumer hardware.