In their defence, there are a few research papers on their site with respect to the startup. I’ve not read it yet, but it might probably be legit, given how most of the founding members are from ivy-league universities.
Usually means “yes this works in theory but only for very specific operations at limited scales that aren’t all that important so it’s not worth pursuing seriously”
Maybe. But the blue LED was also deemed impossible by a lot of big companies. And then a guy build one. Very interesting video on that topic: youtu.be/AF8d72mA41M
It probably runs a completely custom instruction set which makes it incompatible with current architectures. Current manufacturers are designing chips that are operable with popular instruction sets.
I mean, we know the absolute limits of computational efficiency thanks to the Landauer limit and the Margolus–Levitin theorem, and from those we know that we are so far from the limits that it is practically unfathomable.
If they can show some evidence that they can perform useful calculations 100x more efficiently than whatever they chose to compare against (definitely a cherry picked comparison) then I’ll give them my attention, but others have made similar claims in the past then turned out to be in extremely specific algorithms that use quantum calculations that are of course slower and less efficient on any traditional computer.
I’d like to see these chips benchmarked in the wild as well before getting too excited, but the claims aren’t that implausible. Incidentally, this approach is why M series chips are so much faster than x86 ones. Apple uses SoC architecture which eliminates the need for the bus, and they process independent instructions in parallel on multiple cores. And they’re just building that on existing ARM architecture. So, it’s not implausible that a chip and a compiler designed for this sort of parallelism from ground up could see a huge performance boost.
It is very much part of the reason it’s faster than the traditional x86 architecture with a bus, which is what I was talking about. Here’s a good summary for you archive.is/DtT7c
They've been promising quantum computers for three decades with zilch results. I've lost count of how many times and how many startups and even major market players claimed to have working quantum computers, which of course to this day are all just smoke and mirrors.
They've been promising artificial intelligence for three decades with zilch results. Then they redefined what AI means to get venture capital pointing the money hose at it. Now people think a glorified autocomplete and grammar engine is 'artificial intelligence.'