TL;DR
* GOAL 3 is a social enterprise that created IMPALA, a patient monitoring and digital platform system for low-resource settings. There is also a GOAL 3 foundation that raises funds to ensure underserved communities will be reached.
* A recently completed report from Rethink Priorities calculated IMPALA to have a cost per DALY averted of $7–17 in paediatr...
This month effective altruism has gotten lots of attention, including a cover story in The Economist. It feels pretty surreal to be on the receiving end of it. But I feel grateful these ideas have caught on, and even more grateful for the drive, earnestness, and compassion of so many people who took strange but well-argued ideas seriously and then actually acted on them....
Note: This post was crossposted from the Coefficient Giving Farm Animal Welfare Research Newsletter by the Forum team, with the author's permission. The author may not see or respond to comments on this post.
Subtitle: On vegan advocacy, effective altruism, and FIFA
I turn 40 today. Here are some hot takes.
On factory farming
1. Our biggest challenge is salience. If factory farming led the evening news, it wouldn’t last lo...
The consensus on lesswrong, for those who aren't insisting alignment is hopeless, tends to be in the direction of :
AGI that are sparse. Meaning they lack the cognitive capacity to do anything but their current assignment. This can be enforced at runtime, and is what the MoE used by gpt-4 allegedly does, where model capabilities not needed in the present context are not active.
Short duration sessions, where the AGI is only active until a time limit and will lose all memory after
Limited domain subtasks. Not "replicate this strawberry by any means necessary" to "design n new bioscience experiments possible by this robotics hardware and rank by expected knowledge gain/cost" and "given this experiment another AI designed, check it for errors and rule violation" and "given this experiment and this robotic hardware, carry out the experiment" and so on. Note the same AGI can be potentially asked in a different session to do all subtasks, but it can't know who or what created the prior step or if it's actually in the real world unsupervised or in training.
With this structure, AGI will have no values humans don't hold. You could order an AGI system to manage a vast network of already constructed factory farms and optimize meat output, or you could order it to manage equipment that produces the protein from stem cells and to match all the observable parameters you have sensors for from samples taken from actual animals.
Allowing the AGI to act in accordance with values and do anything it wants including self modification to make child systems is probably a lethally bad idea.