Tech Brew Ride Home - Meta’s Smart Headware Push
Episode Date: August 18, 2025Meta is readying smartglasses with a display, but also, a look at their theoretical and prototype roadmap for the future of headware hardware generally. Is all the money in the world not actually goin...g to get Zuck what he wants in AI? And is the acquihire in all but name trend of recent months breaking Silicon Valley’s fundamental business model? Links: Apple’s Vision Pro Is Suffering From a Lack of Immersive Video (Bloomberg) Meta Tiramisu "Hyperrealistic VR" Hands-On: A Stunning Window Into Another World (UploadVR) Meta Boba 3 Prototype Hands-On: Ultra-Wide Field Of View Without Compromise (UploadVR) Startup down rounds are at a 10 year high, according to PitchBook data (Fortune) Meta Plans Fourth Restructuring of AI Efforts in Six Months (The Information) Zuckerberg Squandered His AI Talent. Now He’s Spending Billions To Replace It. (Forbes) Big Tech Is Eating Itself in Talent War (WSJ) Enough is enough—I dumped Google’s worsening search for Kagi (ArsTechnica) Learn more about your ad choices. Visit megaphone.fm/adchoices
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Welcome to the Tech Brew ride home for Monday, August 18th, 2025.
I'm Brian McCullough today.
Meta is readying smart glasses with a display for as soon as next month.
Is all the money in the world not actually going to get Zuck what he wants in AI
and is the aqua-haired and all-but-name trend of recent months
breaking Silicon Valley's fundamental business model?
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We've been talking for a while now about how I feel like smart headware will be the next big hardware story in tech for the next decade or so, which, you know, at this point it's maybe kept an obvious, Brian. But also, I've been talking about how meta is seemingly leading this new horse race. Well, a bunch of news on that front today, first off. Mark German says that meta may debut what they are calling hypernova, smart glasses, but finally with a display.
for around $800 later this year.
Quote,
as I've reported,
Meta is reading its first smart glasses
with a display dubbed Hypernova internally,
a precursor to full-blown augmented reality glasses.
The device will be unveiled next month,
and I've already detailed how the technology works.
There will be a small screen for many apps and alerts on the right lens,
and the spectacles can be controlled via a so-called neural wrist accessory,
the same one used with the Orion AR prototypes.
During development of the product, Meta expected to charge at least $1,000 for Hypernova,
with some people thinking the device could be as much as $1,400.
That's far higher than the $200 to $400 meta rayband glasses without displays or even the new
up to $500 Oakley Smart Glasses.
In fact, it would have put the glasses on par with a high-end iPhone.
Well, here's some good news.
Meta recently figured out a way to slash the price for consumers down to about $800, I'm told.
The move stems in part from the company accepting lower margins to boost demand, a common tactic for new products.
One caveat, the roughly $800 price point will be the starting price, meaning style variations and prescription lenses,
will quickly push up the cost, end quote.
But wait, there's more.
Smart glasses are on the low end in terms of tech.
What about the high end, the bleeding edge?
Over the weekend, upload VR got hands-on with Tira-Modem.
Mesaou, Meta's hyper-realistic VR research prototype with beyond retinal resolution,
high brightness, and contrast, and a narrow field of view.
Since Oculus first debuted and showcased the DK1 over a decade ago,
the angular resolution of consumer headsets in VR has steadily advanced.
Early devices offer just six pixels per degree, PPD, a level comparable to legal blindness,
while mainstream headsets today reach 25 pPD.
High-end devices achieve around 35 ppd,
and Varjo's XR4 pushes 51 ppd in the center of vision.
Yet the question remains,
how sharp must displays become before virtual worlds appear indistinguishable from reality
and are brightness contrasts and other specifications equally or more important than resolution?
These questions lie at the heart of meta's research,
particularly through its optics, photonics, and light systems, Opels team.
Their experimental headset codenamed Tiramisu represents a milestone in Meta's pursuit of the
visual Turing test, a threshold where users cannot tell whether they are perceiving reality or simulation.
Industry Convention holds that 60pD approximates the limit of human visual acuity, but
META's researchers have long doubted this figure.
Earlier prototypes such as Butterscotch at 56pD were used to
whether so-called retinal resolution was enough, but results tended to suggest otherwise.
Now, Tiramisu extends this exploration, achieving an unprecedented 90-pd with micro-o-led displays,
a peak brightness of 1,400 nits, and triple the contrast of the Quest 3.
Instead of pancake lenses, which sacrifice brightness, Tiramisu employs a custom three-element
refractive lens stack, delivering far more light to the eye, but at the cost of bulk and
weight. The field of view is narrow, just 33 by 33 degrees, but within that window, the visual
fidelity is extraordinary, apparently. Unreal Engine 5 demonstrations revealed crisp details,
lifelike emissive lighting, and a realism beyond previous headsets. What did it actually look like
to, you know, look at it? Well, quote, further, the increased brightness and contrast even
seem to enhance the sense of depth, despite Tiramisu not being varifocal.
And beyond that feeling of realism, Tiramisu's bright and vibrant image was downright pleasant
to look at. As the head of DSR, Douglas Landman said, it was reminiscent of seeing a 4K
HDR OLED TV for the very first time, except even more striking. It's the most realistic
image I've ever seen, and I don't just mean in VR, I mean, from a display of any kind, end quote.
Apparently, though, this is still impractical as a consumer product at this point.
Though, Tiramisu does validate meta-scepticism, apparently about that 60-pd ceiling
and might highlight how brightness and contrast are equally vital to getting to that visual Turing test barrier.
It's apparent successor still in development.
Tiramisu 2 aims to balance resolution, field of view, compactness, and comfort,
bringing the vision of true-to-life XR displays closer to reality.
But wait, there's more.
This same author also got hands-on with Boba-3, Meadows prototype PC VR headset, that has a form factor,
crucially, that is similar to the Quest 3, because the Tiramisu and Tiramisu 2 are so heavy,
they're probably never going to be consumer devices. But with the Boba 3, featuring an ultra-wide
field of view of 180 degrees by 120 degrees, it is clearly something that they imagine releasing as a
consumer product because it's smaller and lighter. And this is a winning endorsement, again from the same
author, quote, after trying Boba 3 and seeing a massive field of view in a viable form factor with my
own eyes, I'm now more optimistic than ever about the future of VR, end quote. First disclosed in a paper
abstract three weeks ago, Boba 2 was built last year after DSR optical scientist Yang Zhao saw that recent
meta-driven advances in pancake lenses could be adapted to deliver an ultra-wide feature.
of view in a practical headset. Off-the-shelf VR LCDs had also reached the density needed to
maintain Quest 3 Class Angular resolution at those widths. Using 3K panels, Boba 2 attains 25 pixels
per degree, again, PPD matching the Quest 3. This year's Boba 3 upgrades to 4K LCDs for 30
pPD and adds a refined lens production process that reduces edge artifacts seen on Boba 2.
Both versions provide a sweeping 180-degree horizontal by 120-degree vertical field of view.
For contrast, Quest 3 measures under 110 by 96 degrees, Quest 3S under 96 by 96 degrees,
and human vision is roughly 200 by 135 degrees.
Meta estimates that Boba 3 covers 90% of the human field versus 46% for the Quest 3.
In demos, Boba 3 apparently presents Quest 3-like clarity,
across its massive field with only mild edge distortion comparable to the Quest 3.
A camera-d variant delivers full field-of-view pass-through MR via dual 20-mapsil sensors and a custom
FPGA pipeline over fiber PCIE necessary because USB bandwidth falls short.
However, the pass-through is not depth correct and uses a static lens-match projection, producing
geometric distortion on head motion. Researchers say dynamic reprojection could address this with further
work. But according to this report, unlike many research headsets that trade one breakthrough for
severe compromises, boba-3 feels unusually complete. It's not a product yet, but its design relies on
conventional components, dual-element pancake lenses with a high-curvature reflective polarizer,
and standard 4K LCD similar to those in Varjo XR4 and Pymax Crystal Super VR headsets.
tradeoffs do remain a smaller eyebox that dims rather than blurs when misaligned,
adding weight from larger optics and an aluminum-reinforced visor,
and external constellation tracking in at least this demo.
The larger barrier to shipping is apparently compute.
Ultra-wide field of view dramatically increases pixels and visible scene complexity per frame.
I tracked foveated rendering and neural upscaling can help, but only to a point.
Again, these are just research prototypes,
But that last one technically could be manufacturable someday soon if the compute problems can be solved.
So give it time, I guess.
From the checking in on the health of the startup ecosystem file,
according to Pitchbook, 15.9% of VC-backed deals thus far this year have been down rounds.
Now, what's slightly more remarkable about this is that would mark a 10-year high for down rounds.
and AI and ML startups accounted for 29.3% of the down rounds.
Quoting fortune, the soaring valuations of the early 2020s are finally coming back to Earth.
This week, Pitchbook data revealed that 15.9% of venture-back deals in 2025 so far have been down rounds, making a decade high.
Additionally, almost every major IPO listing in Q2 hit the public markets below its peak valuation, the data from Pitchbook ads.
Some examples include MNT.
at IPO, its valuation was down from $2 billion to $1.1 billion, Circle, which dropped from $7.7 to $5.8 billion.
Hinge, value at IPO was $6.2 billion down from the $23 billion high, and Chime, going public
at $9.1 billion down from a $25 billion peak valuation.
AI does continue to be a bright spot in many ways, but isn't entirely exempt either, as
29.3% of down rounds were in pitch books, broad AI, and machine-line.
learning vertical. Of course, the biggest names in AI, like OpenAI, reportedly heading toward a
$500 billion valuation, and Anthropic reportedly raising at a $170 billion valuation, continue to hit
eye-popping levels. And lower on the food chain, AI is still consistently valued at a premium
with Pitchbook reporting that median Series B step up for AI startups is 2.1% well above the median
of 1.4% that all other categories fetch. The IPO market is, some would say back, I think it pretty
much is, but also has been for a while for those with the stomach for it. In Q2, venture-backed
startups in the U.S. generated $67 billion in exit value, pitchbook said the highest since the last
quarter of 2021. But here's a sobering fact. There are still lots of unicorns out there,
so distributions back to VC firms, and by extension their LPs, are limited. An unsurprising,
but ice-cold and very down-to-earth number to leave you with, the unicorns that have made their
Public debuts this year comprise a mere 1% of all U.S. unicorns out there, end quote.
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learn more. See you this summer. You think that Mark Zuckerberg throwing all that money around to
hire AI talent has him thinking, okay, we're good now. Well, not so fast because the information
is reporting that meta plans its fourth AI restructuring in just the past six months.
Quote, Meta's new AI organization meta superintelligence labs is expected to be divided into
four groups, a new lab that has been going by TBD Lab, short for to be determined, a team
focused on products that include the meta-AI assistant, a team focused on infrastructure and the
company's fundamental AI research lab, which works on longer-term research, two of the people said.
TBD Lab, which is working on the newest version of Meta's flagship large-language model
Lama is expected to have several leads, the two people said.
Jack Ray, formerly of Google, is expected to lead pre-training, according to two of the people
familiar with the matter.
Roman Pang, who previously led model development at Apple, is expected to lead infrastructure
for TBD Lab, the two people said.
Among the leaders of the post-training is expected to be Hongyu-Ren, formerly of Open AI,
and Paisun, formerly of Google, according to one of the people familiar with the matter.
Nat Friedman is expected to continue overseeing products for meta-superintelligence labs,
the person said, Robert Fergus, who co-founded Fair, is expected to continue leading that lab.
Meta most recently restructured its efforts in AI in June,
shortly after it hired Wang and Friedman.
In May, the company cleaved its generative AI group, previously led by Al Dahl, into teams overseeing
AI research and another working on AI products. In February, Meta moved two engineering leaders
from the group and installed Loridana Crizzan, then head of Messenger, to lead product in an early
sign of the shakeup to come, end quote. So why is this chaos still happening over there? Well,
Forbes has sources saying that meta's chaotic culture and lack of overall vision,
have led to what it terms an AI brain drain.
Quote,
they already had the best people and lost them to open AI.
This is Mark trying to undo the loss of talent,
one ex-Meta AI employee said,
and even as Zuckerberg makes jaw-dropping offers
for top-tier AI researchers,
the social media giant continues to lose those that are left.
Today, when it comes to recruiting high-calibre researchers,
meta is often an afterthought.
Insiders at some of Silicon Valley's biggest AI companies
said that prior to the fresh hiring of the last few months,
META's talent largely didn't meet their hiring bar.
We might be interested in hiring some of the new people, Mark is hiring now,
but it's been a while since we were particularly interested in the people who were already there,
a senior executive at one of the major frontier AI companies told Forbes,
Google has hired less than two dozen AI employees from META since last fall,
according to a person familiar with Google's hiring,
compared to the hundreds of AI researchers and engineers it hired in that time frame overall.
That person told Forbes the, quote, prevailing belief,
is that meta didn't have much talent left to poach from. Google declined to comment.
This has lent an air of desperation to Zuckerberg's attempts to raid the likes of OpenAI and Thinking Machine
Labs, the fledging startup helmed by former OpenAICTO Mira Muradi, with nine-figure offers and promises of near-unlimited compute.
In at least two cases, the meta-CEO has offered pay packages worth over $1 billion spread across multiple years,
according to the Wall Street Journal. He reportedly poached at least 18 OpenAI researchers,
but many have also turned him down, betting on bigger impact and better returns on their equity.
Meta is the Washington commanders of tech companies, one AI founder told Forbes,
referring to the NFL team in its pursuit of free agents.
They massively overpay for okay-ish AI scientists, and then civilians think those are the best
AI scientists in the world because they are paid so much.
Anthropic CEO Dario Amo Dai has said he's spoken to anthropic employees who have gotten
offers for Meadow who didn't take them, adding that his company wouldn't renegotiate
employee salaries based on those offers. If Mark Zuckerberg throws a dart at a dartboard and hits
your name, that doesn't mean you should be paid 10 times more than the guy next to you who's just
as skilled, just as talented. He said last month on the Big Technology podcast, Anthropic declined
to comment. Anthropic has an 80% retention rate, the strongest among the frontier labs,
according to a May report by VC firm Signal Fire. The findings are based on data collected for
all full-time roles, including engineering sales and HR, and not AI researcher specifically.
In comparison, Deep Mind has a 78% retention rate, open AI, 67% and Metatrails with 64%.
Finally today from the journal, ASA Fitch makes the argument that big techs reverse aqua hires
for AI talent that have been all the rage are hollowing out startups and eroding the culture
that has made Silicon Valley an unparalleled source of innovation.
Quote, the problem is that the moves challenge Silicon Valley's cultural foundations.
Silicon Valley's basic bargain has always been rooted in taking enormous risk in the hope for an
equally enormous reward. Most startups fail, but those that succeed can be wildly successful
generating 100-fold or higher returns for their venture capital backers and making employees,
many lured with the promise of equity, rich. It is an especially risky business for rank-and-file
employees of venture-backed startups who are tied to the success of one company
at a time, not a diversified portfolio of them. But for many employees of startups hollowed out
and reverse aqua hires are passed over in big tech hiring sprees, the rewards haven't been
very handsome. A bunch of tech employees losing out on a payday might not seem all that
significant, but Silicon Valley's innovation machine only works if it has an army of people who
aren't founders or leading researchers moving its gears, the employees who handle sales, marketing,
human resources, or are part of large engineering teams. That's who's getting the short end of the
stick. There are a ton of employees who are bought into the system, and the history and the
tradition is, you come out here, you try to make something of value, and if it works out,
everybody wins, said John Saccoda, the founding partner of Decible, a venture capital firm.
If you thought you had a share of a company and you actually didn't have a share of a
company, there's a loss of trust, end quote. If the reverse aquire trend persists, there is a
reasonable chance many people who would have been bold enough to join a risky startup will give more
weight to their other options. They might instead go directly to big tech companies in what might be
a safer route for themselves, but one that makes the pool of available startup talent shallower, end
quote. Long time listeners will remember many years ago now when I finally dumped the Chrome
web browser for the Brave browser as my daily driver browser, mostly to get away from Google,
if you'll recall. Well, what if I get away from Google entirely? I'm thinking about it.
The last link in the show notes is to an R's Technica article I read this weekend that is making me consider making the move all in.
Has anyone out there used the Kaji search engine, K-A-G-I?
And by that I mean actually paid for a Kaji subscription.
I'm considering, as I said, going all in, paying for a subscription, but also crucially, using their Orion browser too.
So, HiveMind, before I pay up to get totally ad-free, tracking-free, actually not shitty, search, I need to know I can trust using Orion as my daily web browser.
Anyone out there used it for like more than a month or so?
Any and all feedback are welcome before I make the leap.
Hit me up on the socials or email me at Brian at ridehome.info.
info.
Thanks in advance.
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