CorridorDigital recently used the tech to assist in remaking the rooftop bullet-time scene from The Matrix. It's used for making the environment instead of modeling it from scratch.
They also had an earlier video that more heavily featured gaussian splats. Using them to recreate the inside of the universal studios theme park without permission. I was very impressed with how it handles reflections on glass.
1. The scanning is fast, it takes longer to set up a fingerprint on a macbook air. Just turning the head from side to side, then up and down, smiling and raising one's eyebrows.
2. I used the M5, and the processing time to generate the persona was quick. I didn't time it, but it felt like less than 10 seconds.
3. My cheeks tend to restrict smiling while wearing the headset, it works but people that know me understood what I meant when I said my smile was hindered.
4. Despite the limited actions used for set up, it reproduces a far greater range of facial movements. For example if I do the invisible string trick, it captures my lips correctly (when you move the top lip in one direction and the lower lip in the opposite direction, as if pulled by a string.)
5. I wasn't expecting this big of a jump in quality from the v1.
Oh man that was weird; I opened the video in a private browsing thing to not pollute my watch history and the version I got was automatically translated to Dutch, including voiceover which I presume is AI driven to try and match the tone of the original video. Still a bit robotic though.
While I have my browser configured to prefer Dutch, the second one is English; I wish I could tell it / them that I don't want them to translate anything if it's in one of those languages.
I'm usually a fan of Norm's videos, but this might be the first time I've seen a Tested video that felt more like paid-promotion than an actual unbiased review. I don't keep up with it though.
Video and audio aren't always quite in sync in Zoom, in my experience. But you're right, the overall latency of the connection should've been my question.
What is missing from the article is that creating a model from a few pictures is not that hard (well it is to do well, but hear me out)
The difficult part is animating it realistically with the sensors you have, in real time.
Extracting signal from eye-gaze cameras with a sighlty wider field of view, that allows realistic not not uncanny valley animation is quite hard to do on the general public Peoples faces are all different sizes and shapes, to the point that even getting accraute gaze vectors is hard, let alone smile and check position (those are done with different cameras, not just eye gaze. )
This is what fascinates me as well. I have to assume there's a neural net that effectively learns all of the possible muscles in the face. The limited sensor data gets fed in, and it's able to infer the full face shape. It seems perfectly plausible in theory, but I'm still impressed it seems to work so well in practice.
It’s amazing tech, it’s just a solution looking for a problem.
It feels a bit like the original Segway’s over-engineered solution versus cheap Chinese hoverboards, then the scooters and e-bikes that took over afterwards.
Why would I be paying all this money for this realistic telepresence when my shitbox HP laptop from Walmart has a perfectly serviceable webcam?
Many use cases come to mind. If (retinal?) identities were private, encrypted, and “anonymized” in handshake:
web browsing without captchas, anubis, bot tests, etc. (“human only” internet, maybe like Berners-Lee’s “semantic web” idea [1][2])
Non “anonymized”:
non-jury court and arbitration appearances (with expansion of judges to clear backlogs [3])
medical checkups and social care (eg neurocognitive checkups for elderly, social services checkins esp. children, checkins for depressed or isolated needing offwork social interactions, etc.)
bureaucratic appointments (customer service by humans, DMV, building permits, licenses, etc.)
web browsing for routine tasks without logins (banks, email, etc)
Human-only Internet: why choose this implementation over something simpler? Surely there’s a simpler way to prove you’re human that doesn’t involve 3D avatar construction on a head-worn display that screws up your hair and makeup. [1] E.g., an Apple Watch-like device can verify you have a real pulse and oxygen in your blood.
Court: solution is already in place, which is showing up to a physical courtroom. Clearing backlogs can be done without a technological solution, it’s more of a process and staffing problem. Moving the judges from a court to a home office doesn’t magically make them clear cases faster.
Medical checkups: phone selfie camera
Bureaucratic appointments: solution in place, physical building, or many of these offer virtual appointments already over a webcam.
Web browsing without logins: passkeys, FaceID, fingerprint
[1] yet another male-designed tech bro product that never considered the concerns of the majority of the population.
I used my VP extensively recently when working remotely. It's not glamorous, but I used Screen Sharing with a Macbook that grants you a virtual ultrawide monitor.
Once you're already in VR, it's nice to not have to break out for a meeting, and that's where Personas fit in.
It's not a killer app carrying the product, it's a necessary feature making sure there's not a gap in workflow.
You're thinking of a world where people would still use a computer with a webcam pointed at their face while doing video calls. For me personally, I'm seeing a world where the headset is all that we need. So no, Persona is not a stopgap solution, it's an end in itself, and in its current state it's already pretty damn good.
Actually I'm thinking of a world where the masses accept an AR headset once it's as light as typical eye glasses. And before most people have these, the calls will be video. But I would be happy to be wrong!
I can imagine for certain niche use cases it really is the killer app though. Like couples in long distance relationships, certain kinds of consultants etc.
I think this explanation makes the situation sound even worse.
The vision pro’s overall productivity solution is inferior to existing, cheaper technology, and it has to be supplemented by a solution to a problem created by its own design.
Essentially you’re saying that after putting on a double headband device that wrecks my hair, gets me sweaty, strains my neck with weight, and fucks up my makeup, I now have to use a workaround fake avatar because the tech bros who made this product had to say “oh shit, if you have a headset on you can’t be on camera!”
For $3500 I can be in real reality and be surrounded by higher resolution professional monitors and just show my real self on camera instead.
You have to back up from that question. “How to be present in a video call” is already an answered question.
The “when you’re using the headset” part is the issue. Why are we using the headset? What are the benefits? Why am I making these tradeoffs like messing up my hair, putting a heavy device on my head, messing up my makeup, etc.
This is like saying “The Segway had advanced self-leveling to solve the problem of how to balance when you’re on an upright two wheel device”.
But why are you on an upright two wheel device? Why not just add a third wheel? Why not ride a bicycle? Why not ride a scooter?
The solution is really cool and technologically advanced but it doesn’t actually solve anything besides an artificially introduced problem.
I always viewed the current generations of 'cheap Chinese hovebords' etc being a direct descendant of the Segway, and that Kamen and his believers weren't quite as ridiculous as we thought them at the time - they were just ahead of their time and expecting too much from too low a point in the technology curve.
They had the right idea but over-engineered the solution.
They could never cut the price down because of it. The knockoffs used much simpler ways to balance yourself, including just changing the form factor to something more conventional that doesn’t even need balance correction (scooters and e-bikes).
I'm curious about practical application in everyday life of these avatars - but in the real life, not examples provided by marketing department. With that price Vision Pro still feels like a toy for wealthy people, or perhaps for CEOs of companies who can afford conferences in virtual environment. But then exactly, why? Majority of world tested during pandemic video calls, conferences and all sorts of other activities like virtual crowds for tv programs (pretty sure British panel shows shown grids of people as a substitute for studio audience). News services were inviting their guests by video calls when Skype was still around.
Because it's not. Facial expressions and body language carry gigantic amounts of information.
So many misunderstandings arise when the channel is audio-only. E.g. if a majority of people in a meeting are uneasy with something, they can see it on each others' faces, realize they're not alone, and bring it up. When it's audio-only, everyone thinks they're the only one with concerns and so maybe it's not worth interrupting what they incorrectly assume to be the general consensus over audio.
> when 1920x1080 is perfectly fine for 99.999% of use cases
A lot of people here work with text all day every day and we would rather work with text that looks like it came out of a laser printer than out of a fax machine.
The conflation was that 1920x1080 is a automatically poor clarity so that's why 4k is needed (at the same size). I.e. there is no resolution that is clear or unclear in and of itself, but that's how it is discussed.
One person talks about a laptop, another talks about their big coding desktop monitor, a third talks about a TV they use. None agree how much 1080p clarity makes sense for usage because the only thing quoted is resolution. This drives the assumption everyone is talking about the same sizes and viewing distances based on the resolution, which is almost never the case (before the conversation even gets to the age old debate of how much clarity is enough).
I'm sure if you ask the original commenter, they don't mean 1080p looks great for reading books at 34" just as much as GP wouldn't mean to compare screens of different sizes either.
E.g. 1080p on a 15" laptop is still sharper than 4k on a 32" desktop monitor. People do work on both modalities, they talk to the one they use, chaos ensues.
The comment you're replying to made use of a simile, which is a figure of speech using "like" or "as" that constructs a non-literal comparison for rhetorical effect.
A 24" 1080p monitor is perfectly fine for working with text of any kind. I still use mine at home, even after a decade.
As others said, resolution is not everything. DPI and panel quality matters a lot.
A good lower resolution panel is better than a lower quality larger panel. Uniformity, backlight color, color rendering quality, DPI... all of them matters.
--
This comment has been written on a 28" 1440p monitor.
My theory is that people complaining about text on low resolution displays are using Macs. Apple has seriously gimped the text rendering on low-dpi displays essentially just downscaling a high-resolution render of the screen rather than doing proper resolution aware text hinting.
For some reason people then blame their old displays rather than apple for this.
I sometimes connect the same 24" monitor (an ASUS VZ249Q) to my M1 MacBook via USB to DP (so no intermediate electronics), and the display quality feels inferior to KDE, for example.
Same monitor allows for unlimited working for hours without eye fatigue when driven from my Linux machine. I have written countless lines of code and LaTeX documents on that panel. It rivals the comfort of my HP EliteDisplay.
> However on high dpi screens they are better than anything else.
As a Mac user, I find this arguable. Many of the color correction comes from the fact that Macs contain ICC profiles for tons of monitors. OTOH, if the monitor is already has accurate color rendering out of the box (e.g.: Dell UltraSharp, HP EliteDisplay), Linux (esp. KDE) has very high display quality on HiDPI monitors, too.
This depends a lot on whether you really want to be in these meetings, and what you're supposed to do in them.
The first part is obvious, for the second part if you're looking at slides and docs during the whole meeting, getting a super high fidelity view of all the other participants also looking (probably) at the slides doesn't help in any way.
I mean, Google Meet has a spotlight view exactly for this reason.
"We have this amazing revolutionary tech, and there only thing we can think of is sitting in meetings all day, working with Excel sheets, and answering emails"
I actually think about this a lot, and I could argue both sides of this. On the one hand, you could look at your list of examples as obvious examples of modern innovation/improvement that enrich our lives. On the other, you could take it as a fascetious list that proves the point of GP, as one other commenter apparently already has.
I often think how stupid video call meetings are. Teams video calls are one of the few things that make every computer I own, including my M1 MPB, run the fans at full tilt. I've had my phone give me overheat warnings from showing the tile board of bored faces staring blankly at me. And yeah, honestly, it feels like a solution looking for a problem. I understand that it's not, and that some people are obsessed for various reasons (some more legitimate than others) with recreating the conference room vibe, but still.
And with monitors? This is a far more "spicy" take, but I think 1280x1024 is actually fine. Even 1024x768. Now, I have a 4K monitor at home, so don't get me wrong: I like my high DPI monitor.
But I think past 1024x768, the actual productivity gains from higher resolutions begins to rapidly dwindle. 1920x1080, especially in "small" displays (under 20 inches) can look pretty visually stunning. 4K is definitely nicer, but do we really need it?
I'm not trying to get existential with this, because what do we really "need"? But I think that, objectively, computing is divided into two very broad eras. The first era, ending around the mid 2000s, was marked by year-after-year innovation where 2-4 years brought new features that solved _real problems_, as in, features that gave users new qualitative capabilities. Think 24-bit color vs 8-bit color, or 64-bit vs 32-bit (or even 32-bit vs 16-bit). Having a webcam. Having 5+ hours of battery life on a laptop, with a real backlit AMLCD display. Having more than a few gigabytes of internal storage. Having a generic peripheral bus (USB/firewire). Having PCM audio. Having 3D hardware acceleration...
I'm not prepared to vigorously defend this thesis ;-) but it seems at about 2005-ish, the PC space had reached most of these "core qualitative features". After that, everything became better and faster, quantitatively superior versions of the same thing.
And sometimes yeah, it can feel both like it's all gone to waste on ludicrously inefficient software (Teams...), and sometimes, like modern computing did become a solution in search of a problem, in order to keep selling new hardware and software.
My only counter point to your resolution argument is that 1440p is where I’m happy because of 2 words: real estate. Also 120hz for sure. Above that meh.
I edit video for a tech startup. High high high volume. I need 2-3 27+”1440p screens to really feel like I’ve got the desktop layout I need. I’m running an NLE (which ideally has 2 monitors on its own but I can live on 1), slack, several browser windows with HubSpot and Trello et al., system monitoring, maybe a DAW or audacity, several drives/file windows opens, a text editor for note taking, a PDF/email window with notes for an edit, terminal, the list goes on.
At home I can’t live without my 3440x1440p WS + 1440p second monitor for gaming and discord + whatever else I’ve got going. It’s ridiculous but one monitor, especially 1080p, is so confining. I had this wonderful 900p gateway I held on to until about 2 years ago. It was basically a tv screen, which was nice but just became unnecessary once I got yet another free 1080p IPS monitor from someone doing spring cleaning. I couldn’t go back. It was so cramped!
This is a bit extreme: but our livestream computer is 3 monitors plus a 4th technically: a 70” TV we use for multiview out of OBS.
yes and to a degree which i find particularly interesting. its never going to happen because of your example
i prefer working in my vp and see a possible world where vp makes my remote team collaborate as if were in the office, from the comfort of the most ergonomic location in my house
it solves this problem and 0.0001% of people are dorks like me who try and say, "they did it" while the rest of the world keeps going to work as before
all of the tech problems were solvable. people simply dont want to put a thing on their face and i think thats unsolvable
I live half way across the world from my folks so I don’t see them often. I’d love something that gives me a greater sense of presence than a video call can give.
I would not describe creating an experience that feels like you are in the room with a group of people, even allowing cross talk, is a solution looking for a problem. I think it's the thing everyone slowing dying on Zoom calls wishes they could have.
I disagree. Many of us don't use a headset regularly or carry it with us like a phone or laptop; it is an express inconvenience to use, with only marginal benefits. Businesses won't want one if webcams still do the trick, and users might respond positively but are always priced-out of owning one.
If I'm doing work at my desk and I get a Zoom call, there is a 0.00% chance I will go plug in my Vision Pro to answer it. I'm just going to open the app and turn on my webcam, spatial audio be damned.
How's the latency? Latency is what makes Zoom et al painful for me now - it ruins the ability to politely interject, give confirmatiom, etc. Does Apple do a better job of this than Google/Zoom? In theory you could get 20-30ms (just spitballing numbers I used to get playing shooters!) but i've never got anywhere near that with vid conferencing.
Even so, latency-in-zoom kind of becomes an attribute of the medium and you learn to adapt. How does it feel with the Vision Pro though? The article talks about a really convincing sense of being in the same place with someone - how does latency affect that? (And does it differ based on if you're all physically in Silicon Valley or not?)
I would assume any added latency is negligible -- the sensors + interpretation + rendering should be very fast.
But you've still got all the network latency including Wi-Fi latency on both ends. And you always need a small audio buffer so discrete network packets can be assembled into continuous audio without gaps.
So I wouldn't expect this latency to be any different from regular videoconferencing.
> latency-in-zoom kind of becomes an attribute of the medium and you learn to adapt.
To some degree but not fully. When you adapt your brain is still doing extra work to compensate, similarly to how you don’t «hear» jet engine noise after acclimating to an airplane but it will still tire you to some degree.
I had Zoom and Teams meetings daily during Covid, and personal FaceTime calls almost daily for a while. I still get «Zoom fatigue» if a call goes on for over an hour, if I need to talk face to face during the call (i.e. no screen sharing, can’t disable video and look at something else, etc.) I’m fine if I don’t look at people’s faces but rather people’s screen sharing.
This video might help explain 3D Gaussian splatting.
https://www.youtube.com/watch?v=wKgMxrWcW1s
Essentially, an entirely new graphics pipeline with different fundamental techniques which allow for high performance and fidelity compared to... what we did before(?)
Cool.
Not quite, it’s just a way to assign a color value to a point in space (think point clouds) based on photogrammetry. It’s voxels on steroids but still is drawn using the same techniques. It’s the magic of creating the splats that’s interesting.
A color value for each point is a good starting place to gain an intuition. Some readers might be interested to know that the color is not constant for each point, but instead dependent on viewing angle. That is part of what allows splats to look realistic. Real objects have some degree of specularity which makes them take on slightly different shades as you move your head.
And since we normally see with binocular vision, a stereoscopic view adds another layer of realism you wouldn't normally perceive otherwise. Each eye sees subsurface scattering differently and integrates in your head.
Sorry but this is a horrible video. The guy just spews superlatives in an annoying voice until 4:30 (of a 6 minute video mind you), when he finally gives a 10 second "explanation" of Gaussian splatting, which doesn't really explain anything, then jumps to a sponsored ad.
yeah... their older videos are a bit more useful from what I remember (more time spent on the research paper content, etc), but they've become so content-free that I just block the channel outright nowadays. it's the "this changes everything (every time, every day)" hype-channel for graphics.
CorridorDigital recently used the tech to assist in remaking the rooftop bullet-time scene from The Matrix. It's used for making the environment instead of modeling it from scratch.
https://www.youtube.com/watch?v=iq5JaG53dho&t=2s
They also had an earlier video that more heavily featured gaussian splats. Using them to recreate the inside of the universal studios theme park without permission. I was very impressed with how it handles reflections on glass.
https://www.youtube.com/watch?v=cetf0qTZ04Y
To be clear: they used Gaussian splatting, they didn't use Vision Pros.
I gotta say, these new Personas are good.
The previous beta ones were terrifying frankenstein monsters. The new ones fooled my boss for 30 minutes.
There's a bit of uncanny valley left, nevertheless. My persona's smile reminds of the horrible expressions people like to make in Source Filmmaker.
I have a few similar take aways:
1. The scanning is fast, it takes longer to set up a fingerprint on a macbook air. Just turning the head from side to side, then up and down, smiling and raising one's eyebrows.
2. I used the M5, and the processing time to generate the persona was quick. I didn't time it, but it felt like less than 10 seconds.
3. My cheeks tend to restrict smiling while wearing the headset, it works but people that know me understood what I meant when I said my smile was hindered.
4. Despite the limited actions used for set up, it reproduces a far greater range of facial movements. For example if I do the invisible string trick, it captures my lips correctly (when you move the top lip in one direction and the lower lip in the opposite direction, as if pulled by a string.)
5. I wasn't expecting this big of a jump in quality from the v1.
> There's a bit of uncanny valley left
Perhaps how their heads, eyes move with this weird "fluid" effect and way too much blurred faces?
What eventually tipped your boss off? Was it the smile issue?
There's a bit more of a conversation / demo here which is pretty impressive: https://www.youtube.com/watch?v=KbZfbqHeJNU.
Oh man that was weird; I opened the video in a private browsing thing to not pollute my watch history and the version I got was automatically translated to Dutch, including voiceover which I presume is AI driven to try and match the tone of the original video. Still a bit robotic though.
While I have my browser configured to prefer Dutch, the second one is English; I wish I could tell it / them that I don't want them to translate anything if it's in one of those languages.
Yeah that is awful behavior of YouTube. I can only imagine none of the YouTube developers or managers speak multiple languages.
The floating heads in a room having a meeting reminds me of terrible sci fi.
There's a video version of the article linked partway down which actually works better than the text one for seeing the thing in action a bit.
Tested talked similar about Personas. https://youtu.be/LzZ2j9CAcww?si=IRvxNaNZeBQp7WLV
I'm usually a fan of Norm's videos, but this might be the first time I've seen a Tested video that felt more like paid-promotion than an actual unbiased review. I don't keep up with it though.
For those who have had Persona conversations, how does varying audio latency affect immersion? Is there a recommended chat service?
What audio latency?
There's regular latency due to distance, just like on a phone call if you're chatting with someone halfway across the world.
But on a normal connection, audio and the persona should always be in sync, the same way audio and video are over Zoom or FaceTime.
There shouldn't be any extra latency for the audio only.
Video and audio aren't always quite in sync in Zoom, in my experience. But you're right, the overall latency of the connection should've been my question.
I don't use it very frequently but when from the few times I did I can't recall any imperceptible lag via Apple iMessage.
Good to know. I should try iMessage video chat more, in general.
On last SIGGRAPH there was actually a company which makes dynamic 3D Gaussian splatting videos now rather than static scenes:
https://www.youtube.com/live/ucRukZM0d1s?t=1h1m50s
https://zju3dv.github.io/freetimegs/
https://www.4dv.ai/
The videos can be played back in real-time, though they require multiple cameras to capture.
TLDR Gaussian splatting.
What is missing from the article is that creating a model from a few pictures is not that hard (well it is to do well, but hear me out)
The difficult part is animating it realistically with the sensors you have, in real time.
Extracting signal from eye-gaze cameras with a sighlty wider field of view, that allows realistic not not uncanny valley animation is quite hard to do on the general public Peoples faces are all different sizes and shapes, to the point that even getting accraute gaze vectors is hard, let alone smile and check position (those are done with different cameras, not just eye gaze. )
This is what fascinates me as well. I have to assume there's a neural net that effectively learns all of the possible muscles in the face. The limited sensor data gets fed in, and it's able to infer the full face shape. It seems perfectly plausible in theory, but I'm still impressed it seems to work so well in practice.
It’s amazing tech, it’s just a solution looking for a problem.
It feels a bit like the original Segway’s over-engineered solution versus cheap Chinese hoverboards, then the scooters and e-bikes that took over afterwards.
Why would I be paying all this money for this realistic telepresence when my shitbox HP laptop from Walmart has a perfectly serviceable webcam?
Many use cases come to mind. If (retinal?) identities were private, encrypted, and “anonymized” in handshake:
web browsing without captchas, anubis, bot tests, etc. (“human only” internet, maybe like Berners-Lee’s “semantic web” idea [1][2])
Non “anonymized”:
non-jury court and arbitration appearances (with expansion of judges to clear backlogs [3])
medical checkups and social care (eg neurocognitive checkups for elderly, social services checkins esp. children, checkins for depressed or isolated needing offwork social interactions, etc.)
bureaucratic appointments (customer service by humans, DMV, building permits, licenses, etc.)
web browsing for routine tasks without logins (banks, email, etc)
[1] <https://www.newyorker.com/magazine/2025/10/06/tim-berners-le...> [2] <https://newtfire.org/courses/introDH/BrnrsLeeIntrnt-Lucas-Nw...> [3] <https://nysfocus.com/2025/05/30/uncap-justice-act-new-york-c...>
Let’s run down your use cases:
Human-only Internet: why choose this implementation over something simpler? Surely there’s a simpler way to prove you’re human that doesn’t involve 3D avatar construction on a head-worn display that screws up your hair and makeup. [1] E.g., an Apple Watch-like device can verify you have a real pulse and oxygen in your blood.
Court: solution is already in place, which is showing up to a physical courtroom. Clearing backlogs can be done without a technological solution, it’s more of a process and staffing problem. Moving the judges from a court to a home office doesn’t magically make them clear cases faster.
Medical checkups: phone selfie camera
Bureaucratic appointments: solution in place, physical building, or many of these offer virtual appointments already over a webcam.
Web browsing without logins: passkeys, FaceID, fingerprint
[1] yet another male-designed tech bro product that never considered the concerns of the majority of the population.
I used my VP extensively recently when working remotely. It's not glamorous, but I used Screen Sharing with a Macbook that grants you a virtual ultrawide monitor.
Once you're already in VR, it's nice to not have to break out for a meeting, and that's where Personas fit in.
It's not a killer app carrying the product, it's a necessary feature making sure there's not a gap in workflow.
Ah, right! Because you can’t videoconference with the headset on.
Thank you! Now I get it!
So it’s sort of a stopgap solution before the ar glasses are small enough to do actual video calls without looking silly?
You're thinking of a world where people would still use a computer with a webcam pointed at their face while doing video calls. For me personally, I'm seeing a world where the headset is all that we need. So no, Persona is not a stopgap solution, it's an end in itself, and in its current state it's already pretty damn good.
Actually I'm thinking of a world where the masses accept an AR headset once it's as light as typical eye glasses. And before most people have these, the calls will be video. But I would be happy to be wrong!
I can imagine for certain niche use cases it really is the killer app though. Like couples in long distance relationships, certain kinds of consultants etc.
I think this explanation makes the situation sound even worse.
The vision pro’s overall productivity solution is inferior to existing, cheaper technology, and it has to be supplemented by a solution to a problem created by its own design.
Essentially you’re saying that after putting on a double headband device that wrecks my hair, gets me sweaty, strains my neck with weight, and fucks up my makeup, I now have to use a workaround fake avatar because the tech bros who made this product had to say “oh shit, if you have a headset on you can’t be on camera!”
For $3500 I can be in real reality and be surrounded by higher resolution professional monitors and just show my real self on camera instead.
I disagree, because it answers a pretty simple question: How to be present in a video call when you're using the headset.
To me it would be a shortcoming of the device if I couldn't show me and the thing I'm working on at the same time.
You have to back up from that question. “How to be present in a video call” is already an answered question.
The “when you’re using the headset” part is the issue. Why are we using the headset? What are the benefits? Why am I making these tradeoffs like messing up my hair, putting a heavy device on my head, messing up my makeup, etc.
This is like saying “The Segway had advanced self-leveling to solve the problem of how to balance when you’re on an upright two wheel device”.
But why are you on an upright two wheel device? Why not just add a third wheel? Why not ride a bicycle? Why not ride a scooter?
The solution is really cool and technologically advanced but it doesn’t actually solve anything besides an artificially introduced problem.
I always viewed the current generations of 'cheap Chinese hovebords' etc being a direct descendant of the Segway, and that Kamen and his believers weren't quite as ridiculous as we thought them at the time - they were just ahead of their time and expecting too much from too low a point in the technology curve.
They had the right idea but over-engineered the solution.
They could never cut the price down because of it. The knockoffs used much simpler ways to balance yourself, including just changing the form factor to something more conventional that doesn’t even need balance correction (scooters and e-bikes).
I'm curious about practical application in everyday life of these avatars - but in the real life, not examples provided by marketing department. With that price Vision Pro still feels like a toy for wealthy people, or perhaps for CEOs of companies who can afford conferences in virtual environment. But then exactly, why? Majority of world tested during pandemic video calls, conferences and all sorts of other activities like virtual crowds for tv programs (pretty sure British panel shows shown grids of people as a substitute for studio audience). News services were inviting their guests by video calls when Skype was still around.
Why do we have video call meetings when people mostly just listen and the information is carried via audio?
Why do we have 4K monitors when 1920x1080 is perfectly fine for 99.999% of use cases?
If you look at the world through this lens called "serviceability" you'll think everything is a solution looking for a problem.
> and the information is carried via audio?
Because it's not. Facial expressions and body language carry gigantic amounts of information.
So many misunderstandings arise when the channel is audio-only. E.g. if a majority of people in a meeting are uneasy with something, they can see it on each others' faces, realize they're not alone, and bring it up. When it's audio-only, everyone thinks they're the only one with concerns and so maybe it's not worth interrupting what they incorrectly assume to be the general consensus over audio.
> when 1920x1080 is perfectly fine for 99.999% of use cases
A lot of people here work with text all day every day and we would rather work with text that looks like it came out of a laser printer than out of a fax machine.
Of all places, HN should not be the one to casually conflate resolution and DPI!
The comments silently imply that they are talking about the same screen size, so 1920x1200 vs 4K is indeed a conversation about DPI.
The conflation was that 1920x1080 is a automatically poor clarity so that's why 4k is needed (at the same size). I.e. there is no resolution that is clear or unclear in and of itself, but that's how it is discussed.
One person talks about a laptop, another talks about their big coding desktop monitor, a third talks about a TV they use. None agree how much 1080p clarity makes sense for usage because the only thing quoted is resolution. This drives the assumption everyone is talking about the same sizes and viewing distances based on the resolution, which is almost never the case (before the conversation even gets to the age old debate of how much clarity is enough).
I'm sure if you ask the original commenter, they don't mean 1080p looks great for reading books at 34" just as much as GP wouldn't mean to compare screens of different sizes either.
Of course that's what I meant. It wouldn't make any sense otherwise.
I read their comment in the exact opposite way, and that your comment is exactly their point.
But who's going to use such a tiny display that would make 1080p look good?
E.g. 1080p on a 15" laptop is still sharper than 4k on a 32" desktop monitor. People do work on both modalities, they talk to the one they use, chaos ensues.
The implicit bit is that some of us also like to work with decently sized screens.
Unless you are using a tiny 4k monitor (>9") its not going to be laser print quality.
The comment you're replying to made use of a simile, which is a figure of speech using "like" or "as" that constructs a non-literal comparison for rhetorical effect.
A 21" 4k monitor is around the same resolution as a fax, so it was not really clear to me that it wasn't a literal comparison.
A 24" 1080p monitor is perfectly fine for working with text of any kind. I still use mine at home, even after a decade.
As others said, resolution is not everything. DPI and panel quality matters a lot.
A good lower resolution panel is better than a lower quality larger panel. Uniformity, backlight color, color rendering quality, DPI... all of them matters.
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This comment has been written on a 28" 1440p monitor.
My theory is that people complaining about text on low resolution displays are using Macs. Apple has seriously gimped the text rendering on low-dpi displays essentially just downscaling a high-resolution render of the screen rather than doing proper resolution aware text hinting.
For some reason people then blame their old displays rather than apple for this.
Makes sense.
I sometimes connect the same 24" monitor (an ASUS VZ249Q) to my M1 MacBook via USB to DP (so no intermediate electronics), and the display quality feels inferior to KDE, for example.
Same monitor allows for unlimited working for hours without eye fatigue when driven from my Linux machine. I have written countless lines of code and LaTeX documents on that panel. It rivals the comfort of my HP EliteDisplay.
Yes we are! Macs don't play well with low dpi screens. However on high dpi screens they are better than anything else.
> However on high dpi screens they are better than anything else.
As a Mac user, I find this arguable. Many of the color correction comes from the fact that Macs contain ICC profiles for tons of monitors. OTOH, if the monitor is already has accurate color rendering out of the box (e.g.: Dell UltraSharp, HP EliteDisplay), Linux (esp. KDE) has very high display quality on HiDPI monitors, too.
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"A lot of people are in meetings all day, and we would rather look at something that looks like we're there in person than at a limited webcam."
This depends a lot on whether you really want to be in these meetings, and what you're supposed to do in them.
The first part is obvious, for the second part if you're looking at slides and docs during the whole meeting, getting a super high fidelity view of all the other participants also looking (probably) at the slides doesn't help in any way.
I mean, Google Meet has a spotlight view exactly for this reason.
"We have this amazing revolutionary tech, and there only thing we can think of is sitting in meetings all day, working with Excel sheets, and answering emails"
I actually think about this a lot, and I could argue both sides of this. On the one hand, you could look at your list of examples as obvious examples of modern innovation/improvement that enrich our lives. On the other, you could take it as a fascetious list that proves the point of GP, as one other commenter apparently already has.
I often think how stupid video call meetings are. Teams video calls are one of the few things that make every computer I own, including my M1 MPB, run the fans at full tilt. I've had my phone give me overheat warnings from showing the tile board of bored faces staring blankly at me. And yeah, honestly, it feels like a solution looking for a problem. I understand that it's not, and that some people are obsessed for various reasons (some more legitimate than others) with recreating the conference room vibe, but still.
And with monitors? This is a far more "spicy" take, but I think 1280x1024 is actually fine. Even 1024x768. Now, I have a 4K monitor at home, so don't get me wrong: I like my high DPI monitor.
But I think past 1024x768, the actual productivity gains from higher resolutions begins to rapidly dwindle. 1920x1080, especially in "small" displays (under 20 inches) can look pretty visually stunning. 4K is definitely nicer, but do we really need it?
I'm not trying to get existential with this, because what do we really "need"? But I think that, objectively, computing is divided into two very broad eras. The first era, ending around the mid 2000s, was marked by year-after-year innovation where 2-4 years brought new features that solved _real problems_, as in, features that gave users new qualitative capabilities. Think 24-bit color vs 8-bit color, or 64-bit vs 32-bit (or even 32-bit vs 16-bit). Having a webcam. Having 5+ hours of battery life on a laptop, with a real backlit AMLCD display. Having more than a few gigabytes of internal storage. Having a generic peripheral bus (USB/firewire). Having PCM audio. Having 3D hardware acceleration...
I'm not prepared to vigorously defend this thesis ;-) but it seems at about 2005-ish, the PC space had reached most of these "core qualitative features". After that, everything became better and faster, quantitatively superior versions of the same thing.
And sometimes yeah, it can feel both like it's all gone to waste on ludicrously inefficient software (Teams...), and sometimes, like modern computing did become a solution in search of a problem, in order to keep selling new hardware and software.
> But I think past 1024x768, the actual productivity gains from higher resolutions begins to rapidly dwindle.
Idk man, I do lile seeing multiple windows at once. Browser, terminal, ...
My only counter point to your resolution argument is that 1440p is where I’m happy because of 2 words: real estate. Also 120hz for sure. Above that meh.
I edit video for a tech startup. High high high volume. I need 2-3 27+”1440p screens to really feel like I’ve got the desktop layout I need. I’m running an NLE (which ideally has 2 monitors on its own but I can live on 1), slack, several browser windows with HubSpot and Trello et al., system monitoring, maybe a DAW or audacity, several drives/file windows opens, a text editor for note taking, a PDF/email window with notes for an edit, terminal, the list goes on.
At home I can’t live without my 3440x1440p WS + 1440p second monitor for gaming and discord + whatever else I’ve got going. It’s ridiculous but one monitor, especially 1080p, is so confining. I had this wonderful 900p gateway I held on to until about 2 years ago. It was basically a tv screen, which was nice but just became unnecessary once I got yet another free 1080p IPS monitor from someone doing spring cleaning. I couldn’t go back. It was so cramped!
This is a bit extreme: but our livestream computer is 3 monitors plus a 4th technically: a 70” TV we use for multiview out of OBS.
I need space lol
4K monitors are better and more comfortable.
On the other hand, video calls are worse and less comfortable than audio calls.
yes and to a degree which i find particularly interesting. its never going to happen because of your example
i prefer working in my vp and see a possible world where vp makes my remote team collaborate as if were in the office, from the comfort of the most ergonomic location in my house
it solves this problem and 0.0001% of people are dorks like me who try and say, "they did it" while the rest of the world keeps going to work as before
all of the tech problems were solvable. people simply dont want to put a thing on their face and i think thats unsolvable
I live half way across the world from my folks so I don’t see them often. I’d love something that gives me a greater sense of presence than a video call can give.
I would not describe creating an experience that feels like you are in the room with a group of people, even allowing cross talk, is a solution looking for a problem. I think it's the thing everyone slowing dying on Zoom calls wishes they could have.
Oh no, they wish to have fewer useless meetings.
I disagree. Many of us don't use a headset regularly or carry it with us like a phone or laptop; it is an express inconvenience to use, with only marginal benefits. Businesses won't want one if webcams still do the trick, and users might respond positively but are always priced-out of owning one.
If I'm doing work at my desk and I get a Zoom call, there is a 0.00% chance I will go plug in my Vision Pro to answer it. I'm just going to open the app and turn on my webcam, spatial audio be damned.
How's the latency? Latency is what makes Zoom et al painful for me now - it ruins the ability to politely interject, give confirmatiom, etc. Does Apple do a better job of this than Google/Zoom? In theory you could get 20-30ms (just spitballing numbers I used to get playing shooters!) but i've never got anywhere near that with vid conferencing.
Even so, latency-in-zoom kind of becomes an attribute of the medium and you learn to adapt. How does it feel with the Vision Pro though? The article talks about a really convincing sense of being in the same place with someone - how does latency affect that? (And does it differ based on if you're all physically in Silicon Valley or not?)
I would assume any added latency is negligible -- the sensors + interpretation + rendering should be very fast.
But you've still got all the network latency including Wi-Fi latency on both ends. And you always need a small audio buffer so discrete network packets can be assembled into continuous audio without gaps.
So I wouldn't expect this latency to be any different from regular videoconferencing.
> latency-in-zoom kind of becomes an attribute of the medium and you learn to adapt.
To some degree but not fully. When you adapt your brain is still doing extra work to compensate, similarly to how you don’t «hear» jet engine noise after acclimating to an airplane but it will still tire you to some degree.
I had Zoom and Teams meetings daily during Covid, and personal FaceTime calls almost daily for a while. I still get «Zoom fatigue» if a call goes on for over an hour, if I need to talk face to face during the call (i.e. no screen sharing, can’t disable video and look at something else, etc.) I’m fine if I don’t look at people’s faces but rather people’s screen sharing.
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"Now out of beta"??
Just in time for Vision Pro to go big. Right?
This video might help explain 3D Gaussian splatting. https://www.youtube.com/watch?v=wKgMxrWcW1s Essentially, an entirely new graphics pipeline with different fundamental techniques which allow for high performance and fidelity compared to... what we did before(?) Cool.
Not quite, it’s just a way to assign a color value to a point in space (think point clouds) based on photogrammetry. It’s voxels on steroids but still is drawn using the same techniques. It’s the magic of creating the splats that’s interesting.
A color value for each point is a good starting place to gain an intuition. Some readers might be interested to know that the color is not constant for each point, but instead dependent on viewing angle. That is part of what allows splats to look realistic. Real objects have some degree of specularity which makes them take on slightly different shades as you move your head.
And since we normally see with binocular vision, a stereoscopic view adds another layer of realism you wouldn't normally perceive otherwise. Each eye sees subsurface scattering differently and integrates in your head.
That video didn’t explain what Gaussian splatting is at all, but I did get a minute ad read for some cloud GPU service.
https://packet39.com/blog/a-primer-on-gaussian-splats/ is much better (don't load on mobile though, lots of data).
The same graphics pipeline is used: rasterization.
Rasterization is a very general term. There is a big difference in practice between the traditional rasterization pipeline and splat rasterizers
it's kinda like saying "we still show pixels". true but almost totally useless for understanding anything.
Sorry but this is a horrible video. The guy just spews superlatives in an annoying voice until 4:30 (of a 6 minute video mind you), when he finally gives a 10 second "explanation" of Gaussian splatting, which doesn't really explain anything, then jumps to a sponsored ad.
yeah... their older videos are a bit more useful from what I remember (more time spent on the research paper content, etc), but they've become so content-free that I just block the channel outright nowadays. it's the "this changes everything (every time, every day)" hype-channel for graphics.