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If you ask random gamers what price they think Valve will charge for its newly announced Steam Machine hardware, you’ll get a wide range of guesses. But if you ask the analysts who follow the game industry for a living the same question… well, you’ll actually get the same wide range of (somewhat better-informed) guesses.

At the high end of those guesses are analysts like F-Squared‘s Michael Futter, who expects a starting price of $799 to $899 for the entry-level 512GB Steam Machine and a whopping $1,000 to $1,100 for the 2TB version. With internal specs that Futter says “will rival a PS5 and maybe even hit PS5 Pro performance,” we can expect a “hefty price tag” from Valve’s new console-like effort. At the same time, since Valve is “positioning this as a dedicated, powerful gaming PC… I suspect that the price will be below a similarly capable traditional desktop,” Futter said.

DFC Intelligence analyst David Cole similarly expects the Steam Machine to start at a price “around $800” and go up to “around $1,000” for the 2TB model. Cole said he expects Valve will seek “very low margins” or even break-even pricing on the hardware itself, which he said would probably lead to pricing “below a gaming PC but slightly above a high-end console.”

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Standard brain implants use electrodes that penetrate the gray matter to stimulate and record the activity of neurons. These typically need to be put in place via a surgical procedure. To go around that need, a team of researchers led by Deblina Sarkar, an electrical engineer and MIT assistant professor, developed microscopic electronic devices hybridized with living cells. Those cells can be injected into the circulatory system with a standard syringe and will travel the bloodstream before implanting themselves in target brain areas.

“In the first two years of working on this technology at MIT, we’ve got 35 grant proposals rejected in a row,” Sarkar says. “Comments we got from the reviewers were that our idea was very impactful, but it was impossible.” She acknowledges that the proposal sounded like something you can find in science fiction novels. But after more than six years of research, she and her colleagues have pulled it off.

Nanobot problems

In 2022, when Sarkar and her colleagues gathered initial data and got some promising results with their cell-electronics hybrids, the team proposed the project for the National Institutes of Health Director’s New Innovator Award. For the first time, after 35 rejections, it made it through peer review. “We got the highest impact score ever,” Sarkar says.

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Science fiction has long speculated about the possibility of first contact with an alien species from a distant world and how we might be able to communicate with them. But what if we simply don’t have enough common ground for that to even be possible? An alien species is bound to be biologically very different, and their language will be shaped by their home environment, broader culture, and even how they perceive the universe. They might not even share the same math and physics. These and other fascinating questions are the focus of an entertaining new book, Do Aliens Speak Physics? And Other Questions About Science and the Nature of Reality.

Co-author Daniel Whiteson is a particle physicist at the University of California, Irvine, who has worked on the ATLAS collaboration at CERN’s Large Hadron Collider. He’s also a gifted science communicator who previously co-authored two books with cartoonist Jorge Cham of PhD Comics fame: 2018’s We Have No Idea and 2021’s Frequently Asked Questions About the Universe. (The pair also co-hosted a podcast from 2018 to 2024, Daniel and Jorge Explain the Universe.) This time around, cartoonist Andy Warner provided the illustrations, and Whiteson and Warner charmingly dedicate their book to “all the alien scientists we have yet to meet.”

Whiteson has long been interested in the philosophy of physics. “I’m not the kind of physicist who’s like, ‘whatever, let’s just measure stuff,'” he told Ars. “The thing that always excited me about physics was this implicit promise that we were doing something universal, that we were learning things that were true on other planets. But the more I learned, the more concerned I became that this might have been oversold. None are fundamental, and we don’t understand why anything emerges. Can we separate the human lens from the thing we’re looking at? We don’t know in the end how much that lens is distorting what we see or defining what we’re looking at. So that was the fundamental question I always wanted to explore.”

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