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Epic Games’ Kim Libreri on how real the metaverse can look

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If there is a small circle of people to ask how realistic we can get when we try to make a world seem flawlessly realistic in the metaverse, Kim Libreri is one of those people.

Libreri has had a long career at the intersection of movies, special effects, games, technology, and science fiction. He created the famous “bullet time” scene in the original film, The Matrix. And he made the shift from linear film to visual technology for games, and he now the chief technology officer of Epic Games. And he has made some memorable demos at Epic like Hellblade, Siren, and A Boy and His Kite. He also happens to have a cameo role in the The Matrix Resurrections film that came out in December with original stars Keanu Reeves and Carrie-Anne Moss.

I spoke with Libreri in a fireside chat at our GamesBeat Summit: Into the Metaverse 2 online event. I asked him what he thinks of the convergence of games film and the technology used to make them. Epic Games showed that with its demo for the PlayStation 5 and Xbox Series X, dubbed The Matrix Awakens.

“It’s pretty awesome to see how things are coming together. Even when we made the original The Matrix movies 20 odd years ago, it really was our desire to make the imagery for the original movies in a way inside the computer. So to actually see that is possible in real time is a kind of fulfillment of what we were all sort of dreaming of 20 years
ago.”

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The Matrix Awakens demo debuted at The Game Awards in December, and it was meant to show off the technology made possible with Unreal Engine 5, which debuts in 2022. Epic created a faux city for the demo over the past year, and it will give away that city as part of the engine so game developers can use it as a foundation for their own metaverse games.

Epic knew a new movie was coming, and Libreri was friends with both film director Lana Wachowski and special effects wizard John Gaeta. Epic wanted to make a demo to get people excited about the potential for the future of gaming and visual technology. They were happy to collaborate with Epic on the demo.

“What better way to hint at what the future of gaming, and the sort of things that the metaverse is going to be,” Libreri said.

Crossing the uncanny valley?
Crossing the uncanny valley?

That demo looked pretty real. Asked how real we can make the metaverse seem, Libreri said, “When you look at a demo, it looks pretty real. I don’t think we’re perfect. But the environment, the city, the cars — we’re getting close. If you squint, it’s getting to the point where you really can’t tell the difference between that and the real world.”

He added, “I think, from a visual a purely visual perspective, I think that we’re probably one more console generation — maybe two — but I think I actually feel pretty confident that within the next five, six years that we’ll see hardware that is powerful enough, both on PC and maybe a little before the new consoles come out, we’ll see enough hardware to really blur that line completely.”

That is on the pure visual side.

“With the pixel rendering, they’re taking triangles and turning them into something that you believe is real. And that was part of the what we were trying to get across with it with the demo,” Libreri said. “But you know, there are some complex aspects. The real world is infinitely complex, and has human beings and nature, and all these random chaos generating things in the real world. So I think we’ve got a fair way, in terms of believing that a synthetic character is real from a brain perspective.”

He added, “As long as I’ve got the awesome Keanu Reeves and Carrie-Anne Moss, I can digitize them in a way that I can bring that into our engine, or into a Playstation or Xbox or PC, and produce quite convincing imagery. But to make them act and react the way the human beings would do, we’re still a fair way off on that. Solving the Turing Test (where an AI passes a Q&A meant to reveal it is not human) — we’ve got quite a quite a way to go in computer science for that.”

I noted that they have at least gotten past or pretty close to passing the “uncanny valley,” the computer science observation that the closer an animation gets to reproducing a human, the weirder it feels.

Crossing the uncanny valley is cool, he said.

“But once you can control a world and a universe that is as complex as the natural world, then you can start to do crazy things that you couldn’t possibly do in the real world,” he said. “So I look forward to all the creative and gaming opportunities and you know, just the kind of things that you can do together as a group of friends coming together in these virtual universes.”

Easy or hard to do?

Epic Games is giving away a free city with Unreal Engine 5.
Epic Games is giving away a free city with Unreal Engine 5.

As I noted in my opening speech, I keep vacillating back and forth on this notion of how hard the metaverse is going to be to build and, when when you talk about the automation of city-building in The Matrix Awakens, how easy it’s going to build these things, especially since Unreal Engine 5 is coming out this year. I asked Libreri about that.

“The assets that go into building the city — we’re going to give away,” Libreri said. “They took a huge amount of effort to make. And they’re made in a very modular way. When we started the demo, we were very cognizant that we didn’t want to have a huge, multi-hundred person team building the city. So a lot of the city is laid out from these little building blocks, almost like Lego building blocks for the corners of the buildings, the window frames, the rooftops, the air conditioning units, and then we use procedural rules to populate the world.”

He added, “What we try to do is define the rules that would lay out a city or at least try to make an effort to lay out a city that looks like the real world. And then the components are the things that we’re going to give away, including the whole project file that actually runs the entire city. On top of that, you know, we have things like the Quixel Megascans, that we’ve been adding and adding to the library that takes the need of customers and users of Unreal Engine to have so they don’t have to make rocks and trees.”

Epic also provided things like fire hydrants and telephone booths as it has digital versions of them in that library. But on top of that, Epic is also making it easier to have more sophisticated AI for the characters and the vehicles than in the past, so that the city has traffic and MetaHuman characters (those made with Epic’s tool for creating human characters).

Making the metaverse cool

Agent Smiths in a car chase in the Unreal Engine 5 demo.
Agent Smiths in a car chase in the Unreal Engine 5 demo.

In addition to these tools, Libreri said there are other things that you need to build a metaverse, such as really robust multiplayer networking to be able to connect players together. And then you also have to maintain social graphs, meaning the Epic Online Services you need to maintain a friends list and enable talk between parties.

Epic’s Unreal is also going to link to Nvidia’s Omniverse simulation product, which connects with a variety of other 3D animation tools. So things made in the Omniverse have the potential to work in an Unreal game and vice versa.

“Not everybody is an amazing artist, not everybody can make afford a real tree, or building that looks real,” said Libreri. “We obviously have a great community of developers out there across the games industry that are beginning to make cool things that they load up into Sketchfab, or other online services. Part of this is companies like ourselves making stuff. But also I think the community in the computer graphics world is doing a pretty good job of standardizing content, and also making content that that allows people to get that stuff for free, add it to their project, maybe prove it, and then pass it on to the next group of people that do something even cooler with that.”

Enabling smaller developers

A real Keanu Reeves walks into a simulated scene.
A real Keanu Reeves walks into a simulated scene.

Epic’s big push is to make the metaverse open. By making a lot of these tools available, some of them for free, it feels like smaller developers will have a better chance to contribute. Nvidia hopes to build a digital twin of the Earth in the Omniverse so it can predict climate change. And if it does so, it might make its digital twin available for free. I asked Libreri about enabling the indies.

“You saw the evolution of the VR communities over the last few years,” he said. “And that was a really open environment where people were sharing ideas. We’re all going into this uncharted territory of what what does it mean to build a virtual universe that is not just supporting gameplay, but all sorts of types of social events. I think that people are so excited about the potential that there is a lot of sharing happening. And the fact that these people are willing to share assets they’ve made, or companies are willing to give up things that would be normally very difficult to make for free, just helps people create. And the art of creation is not just making something that looks good. You have to make something that feels good, and there’s so much stuff to work out.”

Libreri thinks we’ll see an open mindset across the community as we head toward building lots of virtual universes.

Machine learning

The Matrix Awakens demo
The Matrix Awakens demo

I asked Libreri how much help would come from machine learning and AI.

“I’ll give an example of something that’s pretty complicated yet,” he said. “If you make a vehicle that’s drivable in the virtual world, then there’s a lot of dependencies on the logic, how you programmed, what the buttons do, how the physics system worked, how we interact with different terrain, beyond just the hard surface aspects of how your rendering shader — and you know USD is trying to standardize the material — you’re trying to standardize how you model and render something. But when something has to be smart, and have logic built into it. That is actually is complicated because we’re just working out ways to make them things as realistic as possible right now. And I think that with all these companies trying to work together within some understanding of what interchanges need to be for the metaverse, I do think that we’re going to eventually break through to have some standards for things that are much more complicated.”

But once you teach machine learning to do car creation or character, machine learning can do a pretty good job of creating, if you generate enough input and output data from running a sophisticated simulation, Libreri said.

“A computer can actually do a pretty good job of emulating what’s going on under the hood,” he said.

It’s hard to process all the data for an AI-driven car or character physics, but once you train a deep learning algorithm to do it, it can eventually do a good job, he said.

“For the metaverse, it may be good enough to have an inferred set of logic as opposed to actually porting over all that sort of gameplay logic that you would have to for smart objects,” he said.

And if you wanted machine learning to convert your assets when you move from one world to another world, that could be possible and quite useful, Libreri said.

The sniper and the metaverse problem

Let's hope that sniper can't see that far in Fortnite.
Let’s hope that sniper can’t see that far in Fortnite.

I asked about more challenges and Libreri mentioned Fortnite and the challenge of having a sniper on the top of the mountain and being able to view anybody on the map.

“You have a big, large scale virtual universe that you’re allowing traditional shooting type games within the environment,” he said. “Normally, the way that people would think about distributing a hugely parallel world is you’ll divide it into a grid, and players would be in little areas of that grid and move from grid to grid to grid,” he explained. “But then if you’re on the top of a mountain, and you have ultra-powered sniper rifle, and you look through it, then you can see somebody that is miles and miles away. So now you’re not only just having to communicate simple network traffic between these grid locations, you have to deal with the rendering coming from a completely different machine, or you’re having to transport everything that’s happening within the local view that you see with a sniper rifle.”

The question is how you do this when there could be hundreds or thousands of players spread across the map, which would be much larger than today’s battle royale maps. Libreri said that Tim Sweeney, CEO of Epic Games, might argue that we need a new programming language for gameplay when it comes to massively parallel simulations. And we need really clever ways of distributing the computation and data management across the cloud infrastructure.

It would be exceedingly hard to create a battle royale game with 1,000 players, instead of just 100, because of all of the networking challenges. It’s also just a big creative problem, he said. Or how do you do a concert with 10 million people in it and truly make it feel like there are 10 million people in it?

Metaverse dreams

There are 7,000 simulated buildings in the Unreal Engine 5 demo.
There are 7,000 simulated buildings in the Unreal Engine 5 demo.

I asked Libreri what kind of metaverse he dreams about. Some people say it is overhyped, and some say it is already here in the form of Second Life or Grand Theft Auto Online. I asked what some of the things are that we can do in virtual spaces that we can’t do in real life. What things exist in the real world that could be cooler in the metaverse?

He noted that multiplayer games have been around for decades where you come together and go to a virtual place. Games show the way forward.

“The cool thing for me is that I think that it gives creative people so much more freedom to think differently about what is a cool experience,” he said. “I think that you know it’s funny because the evolution of computer graphics was initially let’s work out how to match reality as best we can,” he said. “And now you’re starting to see a few more trippy uses where people start to think about what happens if physics doesn’t behave the way that physics works. What if we deal with changing scale in interesting ways, even changing the way that we look at the world. This concept of perspective, and the way we emulate perspective, in a computer is based on the way the light rays in the real world travel into our eyes. But we can mess with that inside the computer, and we can start to really do some crazy cool stuff.”

He added, “I don’t know, if you remember with the original Mario 3D game on the Nintendo 64. There’s one mind-blowing moment where you walk down this corridor, and you end up turned around to upside down. And it’s like I couldn’t do that in the real world. But I can do that in a video game. And that’s what I’m looking forward to. I’m looking forward to the joining of the real world in the virtual world.”

He said it would be cool to take the concerts in Fortnite and do them simultaneously in the game and do them in real life, where the performers and dancers and singers are in the real world, but with motion capture you could make them appear in the virtual universe at the same time.

“I think there’s so many awesome things that we’re going to be able to do that the sky is the limit,” he said.

I asked Libreri what might happen this, and what might happen in a decade. He brought up the Fox TV show The Masked Singer. It would be cool to have more audience participation, with gamification tossed in. You could also have quiz shows with huge numbers of people in the audience participating.

“We’re going to see some mind bending stuff over the next year or two,” he said. “I think the really hard problems are total interoperability between different metaverses is something that” will be very hard to solve.

He added, “If you try to be too cerebral, you’ll miss the opportunity of what’s actually cool. I think the harder problems are populating a world with AI humans that you believe are actual characters, assuming that we actually even need to do that. The the nice thing about a virtual universe, whether it’s in the world of a game, or a world of all the type of experiences, is you have people that are at the other end, whether they’re in front of their keyboard and video cameras, or on consoles, or out in the real world with an AR device. We have people so I don’t know if we totally need to solve the Turing Test right now with digital humans.”

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Snowflake 101: 5 ways to build a secure data cloud 

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Today, Snowflake is the favorite for all things data. The company started as a simple data warehouse platform a decade ago but has since evolved into an all-encompassing data cloud supporting a wide range of workloads, including that of a data lake

More than 6,000 enterprises currently trust Snowflake to handle their data workloads and produce insights and applications for business growth. They jointly have more than 250 petabytes of data on the data cloud, with more than 515 million data workloads running each day.

Now, when the scale is this big, cybersecurity concerns are bound to come across. Snowflake recognizes this and offers scalable security and access control features that ensure the highest levels of security for not only accounts and users but also the data they store. However, organizations can miss out on certain basics, leaving data clouds partially secure. 

Here are some quick tips to fill these gaps and build a secure enterprise data cloud.

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1. Make your connection secure

First of all, all organizations using Snowflake, regardless of size, should focus on using secured networks and SSL/TLS protocols to prevent network-level threats. According to Matt Vogt, VP for global solution architecture at Immuta, a good way to start would be connecting to Snowflake over a private IP address using cloud service providers’ private connectivity such as AWS PrivateLink or Azure Private Link. This will create private VPC endpoints that allow direct, secure connectivity between your AWS/Azure VPCs and the Snowflake VPC without traversing the public Internet. In addition to this, network access controls, such as IP filtering, can also be used for third-party integrations, further strengthening security.

2. Protect source data

While Snowflake offers multiple layers of protection – like time travel and fail-safe – for data that has already been ingested, these tools cannot help if the source data itself is missing, corrupted or compromised (like malicious encrypted for ransom) in any way. This kind of issue, as Clumio’s VP of product Chadd Kenney suggests, can only be addressed by adopting measures to protect the data when it is resident in an object storage repository such as Amazon S3 – before ingest. Further, to protect against logical deletes, it is advisable to maintain continuous, immutable, and preferably air-gapped backups that are instantly recoverable into Snowpipe.

3. Consider SCIM with multi-factor authentication

Enterprises should use SCIM (system for cross-domain identity management) to help facilitate automated provisioning and management of user identities and groups (i.e. roles used for authorizing access to objects like tables, views, and functions) in Snowflake. This makes user data more secure and simplifies the user experience by reducing the role of local system accounts. Plus, by using SCIM where possible, enterprises will also get the option to configure SCIM providers to synchronize users and roles with active directory users and groups.

On top of this, enterprises also should use multi-factor authentication to set up an additional layer of security. Depending on the interface used, such as client applications using drivers, Snowflake UI, or Snowpipe, the platform can support multiple authentication methods, including username/password, OAuth, keypair, external browser, federated authentication using SAML and Okta native authentication. If there’s support for multiple methods, the company recommends giving top preference to OAuth (either snowflake OAuth or external OAuth) followed by external browser authentication and Okta native authentication and key pair authentication.

4. Column-level access control

Organizations should use Snowflake’s dynamic data masking and external tokenization capabilities to restrict certain users’ access to sensitive information in certain columns. For instance, dynamic data masking, which can dynamically obfuscate column data based on who’s querying it, can be used to restrict the visibility of columns based on the user’s country, like a U.S. employee can only view the U.S. order data, while French employees can only view order data from France.

Both features are pretty effective, but they use masking policies to work. To make the most of it, organizations should first determine whether they want to centralize masking policy management or decentralize it to individual database-owning teams, depending on their needs. Plus, they would also have to use invoker_role() in policy conditions to enable unauthorized users to view aggregate data on protected columns while keeping individual data hidden.

5. Implement a unified audit model

Finally, organizations should not forget to implement a unified audit model to ensure transparency of the policies being implemented. This will help them actively monitor policy changes, like who created what policy that granted user X or group Y access to certain data, and is as critical as monitoring query and data access patterns. 

To view account usage patterns, use system-defined, read-only shared database named SNOWFLAKE. It has a schema named ACCOUNT_USAGE containing views that provide access to one year of audit logs.

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WhatsApp rolls out new ‘Message Yourself’ feature globally • TechCrunch

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To get a roundup of TechCrunch’s biggest and most important stories delivered to your inbox every day at 3 p.m. PDT, subscribe here.

We’re joining the Cyber Monday fun with 25% off annual subscriptions to TechCrunch+ content and analysis starting today until Wednesday, November 30. Plus, today only, get 50% off tickets to discover the vast unknown and attend TechCrunch Sessions: Space in Los Angeles!

Okay, we haven’t done a newsletter since Wednesday, and while the U.S. team was chillin’ like villains, the rest of the team was hard at work, so here’s some of the highlights from the last half-week of TechCrunchy goodness! — Christine and Haje

The TechCrunch Top 3

  • Talking to yourself just went digital: Instead of having that internal monologue stay in your head, now you can play out all of your thoughts to yourself in WhatsApp, Jagmeet writes. The messaging platform began rolling out an easier way to talk to yourself today after completing beta testing.
  • Great Wall of porn: That’s how Rita and Catherine describe the bot surge in China that is making it difficult to get any legitimate Twitter search results when trying to find out something about Chinese cities. Why, you ask? Rita writes that “the surge in such bot content coincides with an unprecedented wave of (COVID) protests that have swept across major Chinese cities and universities over the weekend.”
  • Your calendar, only more productive: Get ready for your calendar to be more than just a place to record things you have to do that day. Romain writes about Amie, a startup that grabbed $7 million to link your unscheduled to-do list with your calendar. The app also enables users to be social with coworkers.

Startups and VC

Dubai-based mass transit and shared mobility services provider SWVL has carried out its second round of layoffs, affecting 50% of its remaining headcount, Tage reports. The news is coming six months after SWVL laid off 32% (over 400 employees) of its workforce in a “portfolio optimization program” effort geared toward achieving positive cash flow next year.

There’s a couple of new funds in town, too! Harri reports that Early Light Ventures plots a second, $15 million fund for software ‘underdogs,’ while Mike writes that BackingMinds raises a new €50 million fund to fund normally overlooked entrepreneurs. He also writes about Pact, an all-women led VC for mission-driven startups, backed by Anne Hathaway.

And we have five more for you:

Lessons for raising $10M without giving up a board seat

Blackboard showing soccer strategy

Image Credits: Ihor Reshetniak (opens in a new window) / Getty Images

Over the last two years, intelligent calendar platform Reclaim.ai raised $10 million “using a more incremental approach,” writes co-founder Henry Shapiro.

“We’ve done all this without giving up a single board seat, and Reclaim employees continue to own over two-thirds of the company’s equity,” rejecting conventional wisdom that founders should “raise as much as you can as fast as you can.”

In a TC+ post, Shapiro reviews the process they used to identify follow-on investors, shares the email template used to pitch the SAFE, and explains why “a larger cap table means more founder control.”

Three more from the TC+ team:

TechCrunch+ is our membership program that helps founders and startup teams get ahead of the pack. You can sign up here. Use code “DC” for a 15% discount on an annual subscription!

Big Tech Inc.

Amazon’s recent cost-cutting measures seem to be affecting more than just its delivery business. Manish writes that the company is shutting down its wholesale distribution business, called Amazon Distribution, in India. Amazon had started this unit to help neighborhood stores secure inventory. The company didn’t say why it was closing this particular business down, but Manish notes that this is the third such Amazon unit to be shuttered in India.

Meanwhile, Natasha L reports that Meta has gotten itself into trouble again with the European Union’s General Data Protection Regulation (aka, the agency that regulates data protection). Facebook’s parent company is being hit with $275 million in penalties for what the agency said was breaches in data protection that resulted in some 530 million users’ personal information being leaked.

Now enjoy six more:



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French Court Says Man Was Wrongfully Fired For Not Being ‘Fun’

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You can’t be fired because a company doesn’t think you’re “fun” enough.



Frédéric Soltan I Getty Images

The Court of Cassation in Paris.

At least, that’s according to France’s highest court, The Court of Cassation, which ruled earlier this month that a man who was fired for not wanting to participate in certain company activities billed as part of their “fun” culture was wrongfully terminated, according to The Washington Post.

The man’s legal team said their client wasn’t seen as “fun” because he refused to engage in corporate events with large amounts of drinking. The man also claimed a work culture where people did activities such as miming sexual acts, sharing beds with other employees at work events, and giving people uncouth nicknames, per the outlet.

A Google translation of the court documents characterized these acts as “practices advocated by the associates linking promiscuity, bullying, and incitement to various excesses.”

The decision says the man was fired in March 2015 for not embracing the company’s “fun” culture (calling it “professional incompetence,”) as well as being more rigid of personality, the documents claim.

The company in question is Cubik Partners, a management consulting firm. It did not respond immediately to a request for comment.

France is known for its pro-employee labor laws and well-known jokes about how it’s impossible to get fired there. That is also generally true for other countries in Europe, including Ireland, where Elon Musk’s Twitter has already faced a temporary injunction for firing an executive based there.

In this case, the court ruled that firing an employee for not doing the activities in question constituted a violation of “his freedom of expression,” and that it is a “fundamental freedom” to not engage in some sort of social activity.

The fired employee had asked for over $400,000 USD, which the Paris Court of Appeals rejected last year. This ruling turned over that court’s rejection in part, ordered the company to give the former employee $3,000 euros, and said it would look at his demand for damages at some point in the future, per Insider.

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