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Exclusive: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster, sources say https://www.reuters.com/technology/sam-altmans-ouster-openai…11-22/ OpenAI Made an AI Breakthrough Before Altman Firing, Stoking Excitement and Concern https://www.theinformation.com/articles/openai-made-an-ai-br…nd-concern The Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html Get on my daily AI newsletter 🔥 https://natural20.beehiiv.com/subscribe [News, Research and Tutorials on AI] See more at: https://natural20.com/ My AI Playlist: https://www.youtube.com/playlist?list=PLb1th0f6y4XROkUAwkYhcHb7OY9yoGGZH

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In recent years, physicists have been trying to better understand how quantum information spreads in systems of interacting particles—a phenomenon often referred to as “scrambling.” Scrambling in closed systems, physical systems that can only exchange energy with degrees of freedom within the system, is a characteristic feature of chaotic many-body quantum dynamics.

In open systems, which can exchange both energy and matter with their surroundings, scrambling is influenced by various additional factors, including noise and errors. While the effects of these additional influences are well-documented, leading for example to decoherence, how they affect scrambling remains poorly understood.

Two researchers from the University of California Berkeley (UC Berkeley) and Harvard University recently introduced a new framework, published in Physical Review Letters, that provides a universal picture for how information scrambling occurs in open quantum systems. Their framework offers a particularly simple viewpoint on how to understand and model the propagation of errors in an open quantum system and might already help to explain some previously puzzling observations gathered in magnetic resonance experiments.

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Various forms of heat pumps—refrigerators, air conditioners, heaters—are estimated to consume about 30 percent of the world’s electricity. And that number is almost certain to rise, as heat pumps play a very large role in efforts to electrify heating to reduce the use of fossil fuels.

Most existing versions of these systems rely on the compression of a class of chemicals called hydrofluorocarbons, gasses that were chosen because they have a far smaller impact on the ozone layer than earlier refrigerants. Unfortunately, they are also extremely potent greenhouse gasses, with a short-term impact several thousand times that of carbon dioxide.

Alternate technologies have been tested, but all of them have at least one major drawback in comparison to gas compression. In a paper released in today’s issue of Science, however, researchers describe progress on a form of heat pump that is built around a capacitor that changes temperature as it’s charged and discharged. Because the energy spent while charging it can be used on discharge, the system has the potential to be highly efficient.

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ETH Zurich researchers deployed an autonomous excavator, called HEAP, to build a 6-meter-high and 65-meter-long dry-stone wall. The wall is embedded in a digitally planned and autonomously excavated landscape and park.

The team of researchers included Gramazio Kohler Research, the Robotics Systems Lab, Vision for Robotics Lab, and the Chair of Landscape Architecture. They developed this innovative design application as part of the National Center of Competence in Research for Digital Fabrication (NCCR dfab). Their work has been described in Science Robotics.

Using sensors, the can autonomously draw a 3D map of the construction site and localize existing and stones for the wall’s construction. Specifically designed tools and machine approaches enable the excavator to scan and grab large stones in its immediate environment. It can also register their approximate weight as well as their center of gravity.

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Tesla has made its original Roadster design and engineering “fully open source” and released R&D documents accessible to everyone.

The original Tesla Roadster hasn’t been in production for more than a decade now, and we are still waiting for the new generation that was unveiled all the way back in 2017 and has been delayed several times since.

The vehicle has become quite rare.

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