Kenric @ Photrek
@kenricnelson.bsky.social
President of Photrek. Pioneering advances in Risk intelligence and Blockchain Governance.
The real risk is the demise the American auto industry which can no longer compete with advances happening in China.
February 8, 2026 at 1:35 AM
The real risk is the demise the American auto industry which can no longer compete with advances happening in China.
I may have found a definitive generalization of Shannon’s groundbreaking theory. Since the 50’s mathematical physicists have sought a function that would better characterize uncertainty in nonlinear systems.
On the uniqueness of the coupled entropy:
arxiv.org/pdf/2511.17684
On the uniqueness of the coupled entropy:
arxiv.org/pdf/2511.17684
arxiv.org
January 18, 2026 at 1:51 PM
I may have found a definitive generalization of Shannon’s groundbreaking theory. Since the 50’s mathematical physicists have sought a function that would better characterize uncertainty in nonlinear systems.
On the uniqueness of the coupled entropy:
arxiv.org/pdf/2511.17684
On the uniqueness of the coupled entropy:
arxiv.org/pdf/2511.17684
I'm looking forward to feedback on these results. Our team will be presenting the new results at the American Physical Society conference in March.
arxiv.org/abs/2511.17684
arxiv.org/abs/2511.17684
On the uniqueness of the coupled entropy
The coupled entropy, $H_κ,$ is proven to uniquely satisfy the requirement that a generalized entropy be a measure of the uncertainty at the scale, $σ,$ for a class of non-exponential distributions. Th...
arxiv.org
January 15, 2026 at 3:19 AM
I'm looking forward to feedback on these results. Our team will be presenting the new results at the American Physical Society conference in March.
arxiv.org/abs/2511.17684
arxiv.org/abs/2511.17684
An important application of this is the design of AI algorithms, using Variational and Active Inference. The cost function for these algorithms is the free energy, which can now be defined for learning heavy-tailed distributions, even those with infinite variance.
January 15, 2026 at 3:19 AM
An important application of this is the design of AI algorithms, using Variational and Active Inference. The cost function for these algorithms is the free energy, which can now be defined for learning heavy-tailed distributions, even those with infinite variance.