Toggle light / dark theme

There are a number of constants in the basic laws of physics and initial conditions of the universe that are such that, for life to be possible, the values of those constants needed to fall in an exceedingly narrow range. Many scientists and philosophers think there must be an explanation of why, of all the values they might have had, these constants have precisely the values needed in order for life to be possible. There are deep difficulties with both of the standard explanations of this ‘fine-tuning’ of the laws of nature: theism and the multiverse hypothesis. I will argue that if one adopts a certain form of panpsychism, one can explain the fine-tuning in terms of the mental capacities of the universe, and that this constitutes a significantly less problematic and significantly more parsimonious explanation of the fine-tuning.

Philip Goff is Associate Professor in philosophy at the Central European University in Budapest (a unique and wonderful institution). His main research interest is consciousness, although he also has a sideline in political philosophy (taxation, globalisation, social justice). He recently finished his first book, Consciousness and Fundamental Reality (published with Oxford University Press August 2017), which argues against materialism and defends panpsychism. He is now working on a book on these themes aimed at a general audience. He has written for The Guardian and Philosophy Now, and writes a blog at www.conscienceandconsciousness.com. www.philipgoffphilosophy.com @philip_goff

Join us on Patreon!
https://www.patreon.com/MichaelLustgartenPhD

TruDiagnostic Discount Link (Epigenetic Testing)
CONQUERAGING!
https://bit.ly/3Rken0n.

Bristle Discount Link (Oral microbiome quantification):
ConquerAging15
https://www.bmq30trk.com/4FL3LK/GTSC3/

Cronometer Discount Link (Daily diet tracking):

This could modernize the entire power grid with near-limitless energy.

Since scientists first demonstrated nuclear power 70 years ago, the second stage of nuclear power has remained just beyond our fingertips: nuclear fusion power. While promising, the ETA on the technology required to develop and build viable nuclear fusion has remained decades away.

Until now. Probably.

A breakthrough low-memory technique by Rice University computer scientists could put one of the most resource-intensive forms of artificial intelligence—deep-learning recommendation models (DLRM)—within reach of small companies.

DLRM recommendation systems are a popular form of AI that learns to make suggestions users will find relevant. But with top-of-the-line training models requiring more than a hundred terabytes of memory and supercomputer-scale processing, they’ve only been available to a short list of technology giants with deep pockets.

Rice’s “random offset block embedding ,” or ROBE Array, could change that. It’s an algorithmic approach for slashing the size of DLRM memory structures called embedding tables, and it will be presented this week at the Conference on Machine Learning and Systems (MLSys 2022) in Santa Clara, California, where it earned Outstanding Paper honors.

You are looking at a methanol-fed hydrogen fuel cell that may soon be powering marine shipping around the world.


For Maersk, the 12 new ships will help it reduce CO2 emissions by 1.5 million tons annually or 4% of what the company produced in total in 2021. Maersk’s announced commitment is for all future new builds to only burn carbon-neutral fuels. That’s why fuel cells are high on its list of technologies to make that achievement possible.

Methanol Fuel Cells Are a Step Better Than Burning Methanol

A Bill Gates-backed investment group, Breakthrough Energy Ventures, is bankrolling a new Danish company, Blue World Technologies, with plans to produce methanol and high-temperature fuel cells. It has plans to produce enough of the fuel and the fuel cells to power five container ships this year, and ten times that number by 2024.