Lifeboat Foundation

CSIRO research, published as a letter in Physical Review Research journal, found for the first time that AI could help process and resolve quantum errors known as qubit noise, which are generated by the nature of quantum physics.

Overcoming these errors is widely considered the largest barrier to advanced quantum computers moving from experiment to tool.

In conventional computers, information is stored and processed in “bits,” which work on the principles of binary numbers. Each bit can represent either 0 or 1. But quantum computing devices are made up of quantum bits, or “qubits.”

Hybridizing OI and AI, and adding what seems like a “human” component into our current advances, probably asks more questions than it answers. Here are some of those questions for the law, and how we might begin to think about them.

The Best — and Worst — of Brains

Envisioning how brain organoids might entangle themselves with the law doesn’t take a wild imaginative step; many of the questions we might have around brain organoid models are similar to the ones we’re currently grappling with regarding artificial intelligence. Would OI warrant recognition for the work it produces? And is that output protectible? Under current (and quickly-evolving) copyright developments, AI doesn’t meet the “human” requirement for authorship on its own. But AI (and OI) require human input to work, and there may be some wiggle room on AI work protection, either citing AI as a joint author with human operators, or drawing a line at a certain threshold of human control in the AI-generated work as sufficient for copyright protection.

AGI by the end of the decade?

Scientists have combined real human brain tissue with electronics to make a new kind of biocomputer.

The breakthrough blends biological and mechanical elements, sparking ethical debates.

Sam Altman and Arianna Huffington told me that they believe generative AI can help millions of suffering people. I’m not so sure.

Researchers have devised a new model to predict human behavior taking into account our ‘sub-optimal’ decision-making.

It’s a mild bump from 6GB, but it is still good for consumers, at least.

WITH THE IDEA OF CONSCIOUS DIGITAL MINDS on the horizon, it could be that humans are the proverbial frog in a boiling pot of water, and it’s only been a few years since things have started to feel a bit steamy. But as Bostrom argues in his book, this might be a boiling pot we don’t want to jump out of.

“We need to rethink what it means to be human in such a world where AI has taken care of all the practical tasks and we have a kind of a solved world,” Bostrom says. “You might have a much more radical form of automation … where maybe working for money at all becomes completely unnecessary because AI and robots can do everything better than we can do.”

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