1/ When we looked at the economics of AGI, the key policy challenge was immediately clear:
AI drastically lowers the cost of execution for anything easy to verify.
For everything else, verification is the bottleneck.
In the last several years AI has progressed rapidly but predictably, and in that time the cyber community learns the bitter lesson over and over again. We’ve collectively sleep walked into the current state of things and now I see emotionally driven responses when those outside
Verification as the bottleneck & moat:
“My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.”
Last month I wrote about how we can build a positive and safe future for everyone: meta.com/thefutureisfor…
Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens.
The
1/ Meta’s @Muse offers a glimpse of where AI’s value will accrue: not to the models, but to whoever holds the complementary assets. Here, the personal context that makes the product useful.