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Sam Altman and the OpenAI board are now in talks for his possible return, specifically he’s speaking with Adam d’Angelo.


Sam Altman and members of the OpenAI board have opened negotiations aimed at a possible return of the ousted co-founder and chief executive officer to the artificial intelligence company, according to people with knowledge of the matter.

Discussions are happening between Altman and at least one board member, Adam D’Angelo, said the people, who asked not to be identified because the deliberations are private and they may not come to fruition. The talks also involve some of OpenAI’s investors, many of whom are pushing for his reinstatement, one of the people said.

In one scenario being discussed, Altman would return as a director on a transitional board, one of the people said. Former Salesforce Inc. co-CEO Bret Taylor could also serve as a director on a new board, multiple people said.

Ford said Tuesday it is cutting production capacity by roughly 43% to 20 gigawatt hours per year and reducing expected employment from 2,500 jobs to 1,700 jobs. The company declined to disclose how much less it would invest in the plant. Based on the reduced capacity, it would still be about a $2 billion investment.

The decision adds to a recent retreat from EVs by automakers globally. Demand for the vehicles is lower than expected due to higher costs and challenges with supply chains and battery technologies, among other issues.

Reductions at the Marshall, Michigan, plant are part of Ford’s plans announced last month to cut or delay about $12 billion in previously announced EV investments. The company will also postpone construction of another electric vehicle battery plant in Kentucky.

A team of researchers at DeepMind focusing on the next frontier of artificial intelligence—Artificial General Intelligence (AGI)—realized they needed to resolve one key issue first. What exactly, they asked, is AGI?

It is often viewed in general as a type of artificial intelligence that possesses the ability to understand, learn and apply knowledge across a broad range of tasks, operating like the . Wikipedia broadens the scope by suggesting AGI is “a hypothetical type of intelligent agent [that] could learn to accomplish any intellectual task that human beings or animals can perform.”

OpenAI’s charter describes AGI as a set of “highly autonomous systems that outperform humans at most economically valuable work.”

Protein indicators of subclinical peripheral heath in plasma were linked with markers of Alzheimer’s disease and neurodegeneration, cross-sectional proteomic analyses showed.

Greater protein-based risk for cardiovascular disease, heart failure mortality, and kidney disease was associated with plasma biomarkers of amyloid-beta, phosphorylated tau181 (p-tau181), neurofilament light (NfL, a measure of neuronal injury), and glial fibrillary acidic protein (GFAP, a measure of astrogliosis), even in people without cardiovascular or kidney disease, reported Keenan Walker, PhD, of the National Institute on Aging in Baltimore, and co-authors.

Proteomic indicators of body fat percentage, lean body mass, and visceral fat also were tied to p-tau181, NfL, and GFAP, Walker and colleagues wrote in the Annals of Neurology.

The sleep-wake cycle is among the most well-known circadian rhythms in the body and is severely affected in Alzheimer’s disease (AD). “Eighty percent of patients with AD suffer dysregulation or disruption of circadian rhythms, and the obvious clinical manifestations are the sleep-wake reversals,” Desplats said. “These patients are very sleepy during the day, agitated during the night, more confused, and sometimes aggressive.”

The feeding-fasting cycle is one of the strongest signals you can send the body to entrain the circadian clock.-Paula Desplats, University of California, San Diego

In a recent study published in Cell Metabolism, Desplats’s team used mice that are genetically engineered to develop AD to test whether intermittent fasting improves circadian rhythm abnormalities.3 Rather than restricting calories or making dietary changes, they simply limited food access to a defined six-hour daily window. They found that time-restricted eating improved sleep, metabolism, memory, and cognition, and reduced brain amyloid deposits and neuroinflammatory gene expression. “Many of the genes that are affected in AD are rhythmically expressed in the brain, meaning that they are in direct relation with the circadian clock and are involved in functions that are fundamental to AD pathology,” Desplats said. Intermittent fasting restored the rhythmic activity of these genes, but the real surprise was the extent to which it mitigated brain amyloid deposits and improved cognition and sleep-wake behaviors. “I didn’t expect that it will have such a dramatic impact on pathology,” Desplats said.

Researchers around the world are working on a network which could connect quantum computers with one another over long distances. Andreas Reiserer, Professor of Quantum Networks at the Technical University of Munich (TUM), explains the challenges which have to be mastered and how atoms captured in crystals can help.

The idea is the same: We use today’s to connect computers with one another, while the lets quantum computers communicate with one another. But in technical terms the quantum internet is much more complex. That’s why only smaller networks have been realized as yet.

There are two main applications: First of all, networking quantum computers makes it possible to increase their computing power; second, a quantum network will make absolutely interception-proof encryption of communication possible. But there are other applications as well, for example networking telescopes to achieve a previously impossible resolution in order to look into the depths of the universe, or the possibility of synchronizing around the world extremely precisely, making it possible to investigate completely new physical questions.

Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called active matter.

The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand the shape, flow, and form of living materials. The active matter theory consists of many challenging mathematical equations.

Scientists from the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) in Dresden, the Center for Systems Biology Dresden (CSBD), and the TU Dresden have now developed an algorithm, implemented in an open-source supercomputer code, that can for the first time solve the equations of active matter theory in realistic scenarios.