Beating Moore's Law: This photonic computer is 10X faster than NVIDIA GPUs using 90% less energy 

YEAH BOI

Woah 🤩

LMAO 🤣 yeah

Gamer

🤯

I mean this has nothing to do with that. Its the technology that should be your concern here.

Agreed. He says that you can "actually buy it" and yet when asked for the price, there is no answer, meaning that you can't actually buy it when it comes to it.

@@KanedaSyndrome he even said it’s not gonna be able to run windows, definitely going to be a very specialized research/industry chip.

@XxTreXXockxX good one Einstein, a consumer gpu is setup to run with windows. You gotta make a make your own specialized version of linux for a supercomputer, do the math genius.

I concur. I've seen so much vaporware in my life it's not even funny. If I only had a dollar for every breakthrough that is hyped up and never seen the light of day. Then on the flip side things that I've never heard about suddenly revolutionize everything.

So now their going to be replaced

Nvidia better start taking notice.

@@thehotdogman9317 LOL you people are funny..... This is still 10+ years out.

@@ashflame6888 who says

@@SpenserRoger Intel, AMD and anybody else who knocks on the door of this company with a billion dollars.... OR the simple fact that you are dumb enough think tech actually will EVER move that fast.... Yeah lets go from 8 core 5ghz processors to 40 core 20ghz lightspeed processors overnight! SURE THAT WILL HAPPEN!!! Turn your brain on before you open your mouth again.... I wouldnt be surprised if this NEVER happens and I also wouldnt be surprised that if it does happen its still 20 years out, or more. Its taken 20 years just go from single core 1ghz to 8 core 5hgz..... and you think we just gonna quadruple it overnight? LOL yeah....

That used to mean doubling of performance, at one point, smaller transistor = less power AND faster speeds AND more storage. nowadays the only part of that which remains true is more storage.

@@sidharthghoshal Another reason chips get so hot is because they run at higher frequencies now, You can overclock intel processors up to like 5.4 ghz and they're stable.

@@robertfarquhar2780 11900k can hit 5.6ghz with a regular water cooler. Granted its draws double the power compared to Ryzen but it's still cool.

Also, CPU's are roughly 100x more efficient in the last 15 years, and 22x more powerful. He is just straight up wrong about this imaginary stagnation. Though we are approaching a physical limit in transistor minimum size, so processors will start getting bigger like AMD Epyc range, or we won't be able to fit more transistors per unit area using electricity due to quantum tunneling issues when the tech reaches the

The concept from moors law has expanded to include processing power and then to overall performance.

Thats outdated thinking! its all about Cryptocurrency now, Can it do the crypto mining?

@@DivineWerezwolf NO I DONT THINK SO

@@DivineWerezwolf yeah no one cares

@@DivineWerezwolf ABSOLUTELY NO

It can run crysis in crysis, while compiling the code for crysis.

That's how you market to C-suite folks

Matrix is so '90s. AI must be included, that's a standard, but when you add "general", it hints at AGI and the investors start throwing money at you.

@@aleksanteri_r LOL

@@aleksanteri_r ridiculously on-point.

Nah it’s been like that for a while lol

\*Ceo lightmatter: *rapidly blinking* yeah so

Yeah. So, it literally changes the game and I'm totally stoked. OMG, it's fire bro.

:-)

Dont forget the 'interesting reply to an ambiguous answer.

Never considered that

That's not really an issue, since photonic devices are still orders of magnitude larger than modern transistors and getting anywhere close to the few-nm range can't really be done at optical wavelengths, it requires DUV or even XUV light and noone has figured out the materials yet for photonics at these wavelengths. At the moment, the only advantage is the low energy loss for linear operations as well as potentially much higher clock speeds than silicon (but then again you're speed-limited by silicon I/O and memory). The real breakthrough will come with actual photonic switching (that nonlinear stuff), but right now this requires phase-controlled few-cycle laser pulses (table-sized laser source) and probably plasmonic nanostructures to get enough field enhancement for nonlinear switching. If that kind of stuff can ever be integrated on a chip, you've got yourself a few-100-THz transistor...

@@RealNovgorod the problem of computing nowadays isn't really in the computing itself. It's in the communication on the chip. If we're going to see any advancements, I think it's going to be light communication inside our computers.

@@RealNovgorod awesome comment, bro. how do you people know so much about this stuff lmao is it your work?

@@mba4677 When you're juggling electrons around with a laser, you might pick up a bit or two about what it all could be useful for "in future". Don't get your hopes up too high though - actual photonic computers (not even the quantum flavor) are as far away as fusion energy, maybe even further.

INTERESTING

This is just how nerds talk man. 😅 I noticed this too but because I respond to everything with "yeah, ....."

And then he mostly dodged the questions ugggg

this is the mark zuckerberg school of ceo speak

@Steve Fox 🍻🥴

Ah yes it's getting closer and closer the light computers exceeding our devices thousands of times.

Holy he just said 20ghz.. Already at this year.. Graphite is 400+.

@@thefirstsin graphene

@@thefirstsinwhere did you get 400 from?

You read my mind so yeah lol

Probably runs binary If it runs using wavelengths as signals, it'd just break everything 😂 Transmitting 2 bits at the same time on the same cable is insane. 1 running UV 1 running IR.

@@RENO_K UV doesn't look very power efficient to me. That sort of device would use tons of power. Using polarized FIR at multiple frequencies makes more sense here I believe. I wouldn't go as far as microwaves,but anything is possible. I am pretty sure they can do 128-bit per clock on the same cable with 64 colors and 2 different polarizations, however I might be wrong.

The 64 colors can basically be tied to 64PSK which is used in SATCOM, however in SATCOM there is not only atmospheric attenuation but everytime you double PSK your power decreases by 3dB but it wouldn't in an optical chip so it's kinda cool. Interesting... ok so....

Wow... are you an A.I. cause' you just found a pattern. That is what A.I.s are for.

no? a swith army knife has mutiple tools built-in, linear algebra is a tool you can use in multiple ways. thats a completely different analogy. xD 204 updvotes know what there are voting for.

muzzletov ?????

@@muzzletov Learn how to spell please.

Linear algebra is necessary as it garuntee linear separability and thus can be parallelized. Everything uses it because it has to in order to scale.

@@muzzletov @Faustin yeah that’s right you’re wrong Faustin smh how embarrassing you should delete your comment maybe even your account

There's a video game on Steam that is funnily enough also called "Lightmatter" and it's about a scientific experiment (that was performed by a company named "Lightmatter technologies") that has gone so wrong that the shadows have begun devouring every living thing they touch. Surely those shadows could be used as a computational resource somehow.

That's what interference based approaches to optical processing do; there's even some experiments searchable here on youtube regarding that. Essentially you diffract the light on input and use interference at a fixed focal point as logic operations (since interference is a quantized phenomenon it works better for logic). Not sure how that miniturizes since you'd need very high frequency light to make the diffractors very small. Unfortunately that scales really poorly, since pretty soon you're in the x-ray diffraction realm!

I worship His Divine Shadow

@@ThePC007 Sounds like antimatter ...

I guess you watched Vsauce video about shadow(dark) faster than light

Yep, i either completely own my tech or i dont buy it at all

@@SprDrumio64 this really doesn't sound like consumer tech either way even if it can be bought and owned. Looks like they're just casting their PR net far and wide for another funding round.

You don't need this amount of compute personally. The idea is to use this in the cloud to train networks (that can perform more efficient algorithms) and then use the network produced on traditional chips. Something like nvidia resolution scaling could be optimized even more by AI. Imagine the future where we have AIs on each end of encoding and decoding video streams giving 4k resolution at 1kb/s information streams.

„Stay in cloud“ is not meant that they are renting out the computational power. It means there customer is Google and not a privat Person.

“We are not a general purpose computer. We are a general purpose AI accelerator. I am not going to run Windows for you” They talked about releasing hardware by the end of the year but it’s not gonna be available to general consumers

💀💀

Idk man

IBM and Intel also have this. My guess is they are like a hen sitting on eggs, they have something that works but not works well and didn't know how to sell it.

They will probably buy him out.

remember kodak, they didnt care about digital cameras remenber Tesla, they did a function eletric car, now every car companies are ruinning behind to deliver their owns, before was just concept car that they didnt care at all. the beginning of apple and the IBM at that time. those giant has their market and product, they can only "innovate " around theirs "golden egg goose". they can't compete with themselves with a "golden chicken egg".

@@TheZenytram true, Kodak even had a patent for digital camera, but they don't innovate on purpose. Their "golden egg" was film-camera.

It's coming to the market like Nvidia's was coming to the market 10 years ago. Don't hold your breath.

The CEO called electron leakage* "quantum tunneling," I wouldn't trust whatever he's selling. * From what I gather it is electromagnetic induction, but I'm not an expert either.

@@trjozsef At scale of current gen semiconductors the method of leakage is quantum tunneling.🤦‍♀️ An expert you are truly not.

@@trjozsef Get your facts straight, the CEO didn't spew nonsense

Not everyone is interested in selling out to big tech...

Companies don't have to worry about people "buying" anything. I mean look at the iPhone. People buy it and it's years behind Android.

dude SAME!

😂😂😂😂😂

Indeed , they would never have come this far without your input

@@cedriceric9730that's just unthinkable! 😂

yep

and it is a bit irritating, hope his businessmeetings are better ...

Yeah, so, that’s like how all young CEO’s talk and it’s scary.

@@0s0sXD saying. “Yeah, so...” is a nervous, space filler such as “like” and “um”. It exemplifies the rapid degradation of civilization itself. 😝

@UC3-EKrIcg6VtSjtEypjz64A he's not careful , thats the point genius

I think the questions are tailored to be "yes questions." I expect they were predetermined. He's perfectly up front about what the limitations are, and isn't "over" promising anything. It's a limited featureset for specific jobs.

He spoke a lot of bs. Didn't even show a second picture of the cpu let alone a prototype. When asked about price he changed the topic.

Host lost me when he said modern computers have hundreds of gpus

@@savifrank6323 well techinally a gpu is composed of hundreds of cores

Ty for rhetoric

@@savifrank6323 he said modern supercomputers - which may very well have hundreds of gpus in a network working on the same tasks - basically like renderfarming but on a single massive computer rather than tons of separate computers.

I hope it works at least like the beast gpu's now but with the promised 1/10th of the wattage needed so I can build an android to be my waifu lol

Yup, I could not find any information about this from any real people who have their solution. There is literally 0 information or demos if you try searching for it. Everything looks great on paper. But the fact that I can't find any actual hardware demos anywhere are concerning.

@@esuil that's because it doesn't exist and it never will. The idea of "photonic" computing, or more accurately but much less cool sounding, optical computing has been around since like the 70s or 80s. And yet nobody has ever produced a chip that does anything near what's promised. It's all hot air.

light travels at.... err speed of light, almost instantaneous. The only latency will be probably the DACs and ADCs for interfacing. Electrons also travel at the speed of light, but then the difference is how arithmetic is done. Just for addition of digital signals, you need to go through multiple steps (each step driven by a internal clock signal). But for analog, you just join two wires together and they just add up in one step. Yes, you can also do it with analog computing, but then you have to deal with external influence from EMF from other components and stuff, but light once sealed, you can't add or subtract signals from external sources.

:-) how much time do you have? btw, chatting with him again in a couple weeks and will ask all the top questions from these comments

doubt it, I don't think even nvidia+arm is that rich

@@sinephase the dude would basically have a monopoly on the fastest GPU type processors

@@KP3droflxp OK but I don't think even AMD combined with Nvidia is even that rich though LOL

Unless he sells out Bezos or someone else which is common...

It seems like right now, its not consumer at all. Hopefully eventually we can have all components be photonic.

I don't think traditional hardware has to keep up, this is made for big super computers or ai learning centers and unless they optimize it and make it run graphic programs like games, graphic design programs and just be general use computers current hardware doesn't have to keep up, but Who knows what will happen on the next page of history which is what's exciting

It's kinda like how your graphics card is 100x faster then your computer. It doesn't matter though cause all the computer needs to do is feed it the problems and take the output. The output could be generated at normal computer readable speed but the problems would take a CPU much longer to solve. In AI for example you are multiplying a huge matrix by another huge matrix. A traditional computer would take forever to multiply and add each element. With one of these you can take a large chunk and do all that work in the light processor and just spit out the multiplied matrix segments at the computers read rate.

Well, imagine it like this: When you interface with a very fast photonic AI device, you only need to send the relevant data, the device does the heavy lifting with it. It is like typing into a calulator. Sure, your fingers are way slower than the calculator could process, but doing highly sophisticated algebra and so on would take you wayyy longer yourself than typing them into a black box that does the work :)

Congrats!! Keep going 💪

Smart said, never thought about it that way

Moors law was never meant as a law, it’s more a Guideline.

Well no, they are in fact laws. Saying that a law is 'just a description, so it can't be a law' is like saying a theory is 'just an idea, so it can't be true.' That's exactly what a law of nature is by definition (Moore's law isn't a law of nature). Laws aren't meant to "change our perception of how the universe works," they're just meant to formalize our observations so we have something written down to reference.

@@Drakeblood97 Swing.... And a miss.

@@Drakeblood97 I believe there is a misunderstanding, as you have simply rephrased what I said.

Or AMD

@@flynifty3951 I don't know about amd but Intel might try and get a hand on the gpu market...

they should have bought this instead of ARM really --'...

And shut it down ⬇️

Nvidia, Intel, and AMD, are too smart to fall for this bullshit. 30 seconds on Google shows the guy has no idea what he's talking about. His stats are regularly out from reality by factors of 100 or more.

Nonbeliever why you choose that name?

@@synonymous8390 What's wrong with it?

@@big.atom37 Because i don't think we become nonbeliever but as a choise. We still remain agnostic. And Because God wants us to believe in him. I am not christian. I'm muslim. So God is only one. And muhammad is his messenger. And our afterlife is based on our belief and actions otherwise failure forever.

​@@synonymous8390 From where I stand, believing in gods is a weakness of human nature. Human brain is very limited in what it can process so it needs some simplified picture of the world to serve as a basis, which is religion for many.

@@big.atom37 I'm talking about God not Gods. And that God said in his book that "He is the creator & expander of the universe". And also said he made the "best" in wombs of our mothers. Also, He made everything in "pairs". Also, The biggest sign is He himself challenging humans to write a verse like his Book. The Divine book i am referring to is Qur'an containing signs. Saved from a time About 650 A.D. Give it a thought!

That's still a thing materials keep changing though so R&D funding keeps getting changed around, right now the hot option is graphene ultra capacitors, you're still not wrong though.

its sad that youtube doesnt show downvotes on comments anymore... it would hurt your feelings for real lol

It smells a fraud to me. It reminds me of Theranos. It sounds too good to be true and they're not claiming to deliver until the end of year so we'll see then if that gets delayed, disappoints, or ever becomes available for outsiders to fairly compare with more conventional technology at all.

???

The technology exists, it’s a matter of logistics. If you can’t find >investors >workers experienced in the field of “your new invention” >access to material goods through inexpensive or cost effective means You may as well not even make whatever you have until you do. This is why most “ground breaking” technology disappears and then comes back ten years later. When Pixar released movies with ray tracing it was amazing! They were like “once we figure out how to do this quicker it’s gonna be so mainstream!” And then no one ever really used it again. Then ten years later Nvidia figured out how to do it in real time and now it’s back again. These things take time, unfortunately

So, you'd have light simulating light!

@Rusty Clark you mean pseudo-raytracing right

Drivers and driver support would be a nightmare. People have been talking about co-processors (FPGA, neural, etc.) for ages and nothing much has come out of them.

@@wombatillo Isn't the GPU a co-processor?

I can't see raytracing as a viable task for this topology, because the data structures needed for that are insanely complex. The only operations that this accelerates are multiply-accumulate on straightforward data structures, or basically matrix multiplication, which is computationally intensive but structurally extremely simple. So neural networks are an excellent match. But you know what i bet is coming? Cryptocoin mining. Other uses this will potentially adapt to easily are uniform finite element analysis physics simulations, such as fluid dynamics and load bearing structures. The latter powers things such as generative design, where you specify load bearing surfaces, and have the CAD generate an optimised structure that solves a given mechanical task. Warning, if you have trypophobia (anxiety of holes), maybe don't google "generative design", and also don't google "trypophobia". Also this hardware might be useful for things like protein folding, for medical research.

In fact, every time people start a sentence with “so”, I stop listening. Doing that generally indicates two things, both of which turns off my interest.

Why do you think they have any A/D conversion? Binary thresholded electrical signals being encoded into binary light pulses and then thresholded back to electric. It's no different than fiber optics. Nobody thinks that sending your data over a fiberoptic cable yields reduced numerical accuracy on the receiving machine.

@@nonconsensualopinion Your lack of understanding lets me hope you don't work as an engineer. In fiber optics there is no intentional signal processing or alteration happening over the medium, if it is like multi mode reflections or parasitic reflections at couplers / connectors, then these are unwanted and corrected by digital error correction and digital / analog or even electro-optical transmission line equalizers. And these are relatively easy to correct, meaning using little processing and electrical power. This is by design and mainly a function of how much information has to be convoluted to check for transmission errors and correct them to very low accepted rates, which never are zero, btw. With this "photonic computing", whatever processing or function is going on in the medium, from electrical signal in to electrical signal out, which is a necessity simply because they advertise it can be integrated into a existing data center, more or less evades from any error correction. Do you know fourier optics? Do you know what a 4f correlator is? You can "optically calculate" a 2d fourier transform blazingly fast, basically at the speed of light, but you would also have to convert your data to optical (D/A) and then convert it back to digital (A/D). This combined with the optical imperfections of the used elements basically determines a signal to noise you might achieve, how lossy your processing function is. And there is no way to completely get rid of this except than doing the same calculation which happened in the "photonic computer" again on a classic computer. As said, a huge convolution of information would have to be done on the electronic side, basically the optical calculation repeated, to get to the wanted bit error rate, making the optical calculation redundant. Of course there could be some clever ways to improve on that with viable measures on the electronic sides of the "photonic computer", meaning to improve on the signal to noise or give the noise some characteristics more suitable for the intended application, but these definitely will not get rid of the noise, they will just make this lossy computing more viable for certain applications, but they will never rival the low and cheap to get error rates of classic computers. A classic computer is also lossy, has a error rate or a signal to noise if you want to say, but this can be made so amazingly low that human factors like human lifetime easily make the dominant "error rate".

@@raymundhofmann7661 Everything you said is good, I just hoped you were a little less salty when answering '^-^. Thanks for the infos though

@@raymundhofmann7661 what node are these on? Surely your not going to fit billions of optical-electrical transmitters and recievers on a chip. Initially I thought they were swapping copper traces with optical tubes. But if they are multiplexing, then obviously not. I didn't really hear how it actually worked, what changes states etc to allow the light to do the work instead of just carrying information.

@@raymundhofmann7661 My first instinct to reduce the effect of noise would be to couple the data with error correction code, so that CPU can detect and fix errors due to noise later (assuming noise is below the threshold of the used error correction code). Of course, this would require homomorphic error correction codes (i.e. codes that are preserved under evaluation of functions), which I don't know how much they are studied. But if photonic computation becomes big, I bet research in homomorphic error correction codes would become a big field

Agreed! So nice

Agreed! So nice

The claims aren't so outlandish, actually. Vast majority of the inneficiency from current chips actually comes from moving data around inside the chips. As you miniaturize, resistance increases, you get more parastic loss and quantum effects, meaning you have to ramp up voltages to achieve the same frequencies. Just by moving to light-based data transport through waveguides you are already making huge savings in power (so, less waste heat), what also allows you to ramp up frequencies. Main issue is steering the monumental ship that is semiconductor technology to adopt a completely new paradigm in production.

@@EversonBernardes oh I don't doubt the tech, just how nonchalantly the guy over there just throws multipliers and promises like nobody's business. I'll believe it when I see it. No Man's Sky eventually delivered, but it took years of actual hard work after the disastrous launch and the lead designer shutting up about overhyped public statements.

@@danfg7215 What are you talking about? _No Man's Sky_ delivered on everything that was in its Steam product description at launch.

@@____uncompetativehmm unless you're being sarcastic, you can learn more about the game's prerelease overhype in this random summary video: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-PvCg0Cz7n4I.html

@@danfg7215 I am not talking about anything said in early interviews. Games can change for aesthetic, technical, or business reasons up until the point of preorder. What they then promise they should satisfy. What Sean Murray put in the Steam product description was delivered by the game at launch. Games can be hyped up for years and then cancelled and not come out at all. _No Man's Sky_ released. Sean Murray never lied: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-wyV9XOtEh1A.html

Was gonna say this. Why is there no demonstration?

Considering that it's mostly for AI and number crunching, I doubt there's much that can really be shown at this point besides a wall of text on a screen, which isn't very interesting to most people.

@@HDSQ Make comparisons would do, but yeah for general public wouldn't make sense

Seeing some graphics processing or rendering would be nice

@@HDSQ I was interested and could not find even that anywhere. So yeah...

Regular computers also started off as government/corporate monstrosities.

You forgot Apple and Tesla.

Intel and IBM have been doing minor research projects in optical computers for years, but there wasn't enough market for narrow-focus chips until neural networks became a thing, and the current state of optics requires designing narrow-focus chips, like tensor math chips. Also, highly controlled nano-scale photon generation is a pretty recent invention, and that has prevented optical circuits from keeping pace with silicon improvements. But a lot of improvements have happened over the last 10 years, and IBM has been increasing their photonics & optical computer division. If Lightmatter's product does what it says it does once its in the cloud, they will definitely be the target from the major players. But being a target doesn't guarantee that Lightmatter agrees to a buyout either.

Maybe this is the company that's going to tell them to go get bent.

@@trueneutral3092 Lol

They will once it achieves a certain market share, at which point they will add their government approved spyware called Intel ME.

But the price is unknown

Well atleast scalpers can't get to it

They all seem like that until you work for them.

not really. if anything it'll devalue crypto by making easier to make. crypto is valuable because it's hard to make.

@@360addict70 Yes you're right, but it solves the problem of the energetic consuming made up because of cryptocoins, so is nice for people who want to sell NFT art. And probably for now only a few people will have this kind of "photonic computer.", but I got you, you're right.

They will just create harder to crack hashing algorithms, take Monero's RandomX for example, it's made in such a way that GPU and ASICs suck at solving them.

Remember that proof of stake is becoming common

@@360addict70 Not really, it would have the same effect we have today Weaker GPUs can mine but the value is not that high bc we have stronger GPUs mining faster dictating the price If this could be a reality those with the new technology would dominate the market and everyone else with weaker GPUs will gain less

yes of course

i knew that

😎

🦾

If you examine and study the evolution of the micro transistor chip ...its a very boring and a slow read....everyone likes to think that alien tech or something was used to advance breakthroughs in science. But the evolution of technology is slow and very uninteresting.

@@richystar2001 - I wouldn't say it's really that boring, but, indeed, people that don't know how, for example, integrated circuits got smaller and smaller, need to look into photography/optics and photo-chemistry. These 2 fields had the most impact on IC construction, initially, and revolutionized the electronics industry the most (the application of microfilm tech, basically). The rest is quite ordinary incremental advancements (though with the "Law of Accelerating Returns" that is in play w/regards to all other technology and scientific advancements that would be impossible w/o the computer).

I believe they are trained on the photonic computer, but I'm not certain.

No, he said they are focusing on inference, so the neural net is already trained.

Gaming is ofcourse the biggest application to be used.

Hope crypto and all "currencies" drops all payments for miners. Its waste of energy in any level.

Wouldnt that degrade the profit of crypto if these processors were used for that as they would be getting more common degrading the value of crypto over time?

Depends on what you mine

@@mineland8220 Yes. This will compound crypto wealth dramatically. Only those who can afford to buy these at mass scale will take over mining. At least until they become consumer PC integrated.

It's an analog device. It might be used to sell you ads, or design nukes, or whatever, but you're not going to be mining crypto on it.

Quantum computing uses properties like entanglement meaning that a "signal" can be either 1 or 0 but also a super-positioned value (what would be interpreted as "both at the same time") As far as I understood this one still uses classic logic gates but using light to transmit a signal instead of electrons

@@nullifier_ Seems to me someone maybe didn’t watch the video... I'd say he was explicit about how they can’t employ transistor-like gate functions, “we don’t do that kind of thing”

dgSolidarity They can, but he said it’s really hard to do, but it apparently is good at natively running matrix multiplication type operations.

​@@vibaj16 Okay… he said himself they don’t in his own words, and explains that they couldn't. Not sure how you’re arguing against him about his device. Do you mean “they” as in anybody can technically make that? If so, I really don’t get what you’re getting at. No one makes such devices commercially because there’s no evidence it could be practical. One can do all manner of things, that don't have any advantage. This video is about a kind of computer that may have significant advantages for a niche, which couldn't do so if it used classic logic gates, but okay I guess it’s not illegal so you all can believe that’s how it actually works if it floats your boat.

dgSolidarity Show where he said it’s impossible. I don’t remember him saying that. I remember him saying that it’s just really difficult.

Agreed! So nice

Any paper on wave spectrum operstions. The phenomena they are talking about is in use with radio waves today. Each color is a different wave form. If sufficiently separated in wavelength/frequency the two waves do not interfere with one another. Since unlike electrons photons have no mass you can in theory have photons of multiple frequencies in the same local area (the optical path). The difference is that in modern methods (radio waves) we use modulation. I am not sure if that's the case here. Though I simple detection system of logic green light = true then emit on = true would not need modulation and still would be able to share a logical path with other colors.

@@chiefgully9353 lol, actually the reason of why you can have an uncountable number of photons all over the same position is because of their bosonic nature not because of their mass.

@@markell1172 boson8c nature sounds like your getting into quantum physics. That's a bit more advance study than I got. I instal and design telecomunications systems, so I understand the wave principles behind that. The mass reference was an I tuition thing 0 mass particles and all. I'll look more into that though thanks for the heads up.

@@chiefgully9353 np, I normally help pep to not get on missinfo so im glad to see that you took it like it should :)

Fourrier transforms....

Hahahaha

Agreed! So nice

I'd be really really interested in how it _actually_ works. I have some understanding of transistors and logic gates, but I can't understand how you'd actually do linear algebra with light.

Will it run DOOM?

I think the top 2 things for me are gaming and rendering, he mentioned it's good at raytracing which is perfect for both so I would imagine that this would be a huge selling point for a lot of people. Exciting stuff!

How can I invest in this?

Just completed the follow-up interview. I'll post the link here when it's ready to go

Maybe Linux will get some funding!

@@RandyRandersonthefamous That's not the joke

yeahhh, this is not for that

Fuck that shit,people hate windows!

Does ray tracing though.