eon.systems 的前十大競爭對手

futurism.com

A moderator at the r/aviation subreddit didn't look too kindly on a shot by astronaut Don Pettit, deeming it too "blurry" and taking it down.

mindstudio.ai

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the-decoder.com

Google Deepmind is testing a double-blind evaluation of a frontier AI model for the first time. Cryptographic protection through Confidential Space is meant to keep Google from seeing the test questions and keep evaluators from seeing the model weights. The pilot project with the Singapore AI Safety Institute uses a Gemini Flash Lite and could set a new standard for tamper-proof AI benchmarks.

theregister.com

Sleep doesn't pay

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

A system of non-tradable credits that flow between individuals like karma, hence proposed under that name, is a mechanism for repeated resource allocation that comes with attractive efficiency and fairness properties, in theory. In this study, we test karma in an online experiment in which human subjects repeatedly compete for a resource with time-varying and stochastic individual preferences or urgency to acquire the resource. We confirm that karma has significant and sustained welfare benefits even in a population with no prior training. We identify mechanism usage in contexts with sporadic high urgency, more so than with frequent moderate urgency, and implemented as an easy (binary) karma bidding scheme as particularly effective for welfare improvements: relatively larger aggregate efficiency gains are realized that are (almost) Pareto superior. These findings provide guidance for further testing and for future implementation plans of such mechanisms in the real world.