Nothing but respect for Tim Cook. I feel fortunate that a company as principled as Apple on privacy and human values holds a dominant position in computing and makes quality products. I once encountered him dining alone in Palo Alto, years ago. He struck me as a humble man, someone who happens to be gifted and has put that gift to good use. A beacon of light from Alabama. I’m grateful for his efforts, and hopeful that Ternus can carry the Apple legacy forward as the baton passes to the next generation.
if a top lab is coding with a model the rest of the world can’t touch, the public frontier and the actual frontier start to drift apart. That gap is a thing worth watching.
Nerve density isn’t mainly about intensity, it’s about spatial resolution. More nerve endings per square centimeter means you can distinguish finer details of touch, texture, and pressure. The brain can’t invent spatial detail that isn’t in the incoming signal. Amplifying a sparse signal centrally would be like zooming into a low-res photo.
The brain does do some of what you’re describing though. The somatosensory cortex gives disproportionate space to certain body parts (the sensory homunculus). So there is central amplification, but it works on top of peripheral density, not instead of it. Without the dense nerve input, you’d basically have an on/off switch instead of nuanced sensation.
Check out Personalized PageRank and EigenTrust. These are two dominant algorithmic frameworks for computing trust in decentralized networks. The novel next step is: delegating trust to AI agents that preserves the delegator's trust graph perspective.
That’s exactly right for global PageRank, which is why I recommended Personalized PageRank specifically.
A cluster of sybil agents endorsing each other has no effect on your trust scores unless they can get endorsements from nodes you already trust.
That’s the whole point of subjective trust metrics, and formally why Cheng and Friedman proved personalized approaches are sybilproof where global ones aren’t.
But you can have genuinely helpful agents in your attack network. Agents that create helpful pages and get linked by other helpful pages but then later link to malicious pages. It all follows when the cost of page creation goes to zero.
That’s a real attack vector and it applies to every reputation system. The standard mitigations are temporal decay, trust revocation, and anomaly detection.
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