Top 10 eon.systems Competitors

futurism.com

Scientists are trying to save a rare tree species by collecting seeds from the only surviving specimen that's clinging to a cliff.

mindstudio.ai

The latest MindStudio platform updates, new AI models, events, and community highlights — all in one place.

the-decoder.com

Anthropic's ChatGPT competitor Claude can now handle hundreds of pages of text, overtaking GPT-4.

theregister.com

The Register is an iconic enterprise technology news website read by millions of IT pros around the world

nextbigfuture.substack.com

nextbigfuture.com is the top-ranked science news blog. it explores various cutting-edge technologies and trends such as space, robotics, artificial intelligence, medicine, anti-aging biotechnology, and nanotechnology. click to read next big future, by nextbigfuture, a substack publication with thousands of subscribers.

magazine.mindplex.ai

Mindplex is the leading AI magazine, bringing you the latest trends and insights.

janelia.org

+Janelia Research Campus is HHMI’s pioneering research center in Ashburn, Virginia, where scientists pursue fundamental neuroscience and imaging in a uniquely innovative, collaborative atmosphere.

arxiv.org

We perform a behavioral experiment of karma, a class of mechanisms for repeated resource allocation with attractive fairness and efficiency properties, in theory. Individuals in these mechanisms bid non-tradable credits that flow from resource consumers to yielders, like karma. Human subjects recruited on Amazon MTurk are repeatedly and randomly paired to bid karma according to time-varying and stochastic individual preferences or urgency to acquire resources. Treatments varied in the dynamic urgency process (frequent moderate urgency versus sporadic high urgency) and the richness of the bidding scheme (binary versus full range). Results are benchmarked against random allocation, and karma achieves a (almost) Pareto improvement over random, despite the MTurk subjects deviating significantly from the theoretically optimal Nash bidding policy. Maximum improvement is attained by subjects that deviate from Nash by up to one karma bid unit on average, and positive improvement is attained with average deviations of up to 3-4 bid units. These findings hold across all treatments, among which no significant differences are found, with the exception of the sporadic high urgency process with binary bidding treatment being (weakly) favorable over others. These results offer behaviorally robust lower bounds for the expected performance of karma in human populations. They also provide guidance for future testing and implementation of karma mechanisms in the real world.