The AR Roundup: March 2022 — from linkedin.com by Tom Emrich

Excerpt:

Every month I round up what you may have missed in Augmented Reality including the latest stats, funding news and launch announcements and more. Here is what happened in augmented reality between March 1-31, 2022.

“The metaverse is no longer a single virtual world or even a cluster of virtual worlds. It’s the entire system of virtual and augmented worlds,” Chalmers tells me over Zoom. “Where the old metaverse was like a platform on the internet, the new metaverse is more like the internet as a whole, just the immersive internet.”

~ David Chalmers, Philosopher and Author of Reality+

 

 
 

Meet The Secretive Surveillance Wizards Helping The FBI And ICE Wiretap Facebook And Google Users — from forbes.com by Thomas Brewster
A small Nebraska company is helping law enforcement around the world spy on users of Google, Facebook and other tech giants. A secretly recorded presentation to police reveals how deeply embedded in the U.S. surveillance machine PenLink has become.

Excerpts:

PenLink might be the most pervasive wiretapper you’ve never heard of.

With $20 million revenue every year from U.S. government customers such as the Drug Enforcement Administration, the FBI, Immigration Customs Enforcement (ICE) and almost every other law enforcement agency in the federal directory, PenLink enjoys a steady stream of income. That doesn’t include its sales to local and state police, where it also does significant business but for which there are no available revenue figures. Forbes viewed contracts across the U.S., including towns and cities in California, Florida, Illinois, Hawaii, North Carolina and Nevada.

 

Metaverse vs. employment law: The reality of the virtual workplace — from arstechnica.com by Kate Beoiley
It is unclear how employee protections apply in the universal digital realm.

Excerpt:

When it comes to employment laws, however, it is unclear what rules of engagement apply in a universal digital realm. What counts as harassment in the metaverse? Can an avatar be discriminated against, or worse? Will national legislation protect employees or does working in the metaverse require a new rule book altogether?

Lack of legal framework
But the metaverse takes hybrid working a step further and brings with it a host of thorny employment law issues. These range from practical challenges, such as how employees are paid, to more philosophical ones, like whether avatars have a legal identity. “The legal conundrums are about as diverse as the possibilities of the metaverse itself,” says Jonathan Newman, managing associate at law firm Simmons & Simmons.

 

22 Augmented Reality Trends to Keep an Eye on for 2022 — from linkedin.com by Tom Emrich

Excerpts:

#1 Metaverse remains at peak hype as the next iteration of the Internet feels so close but is actually much further away

#2 The smartphone continues to become an even more powerful augmented reality machine with advancements in chips, displays and connectivity

#3 Early consumer smartglasses reinforce the need for smartphones rather than attempt to replace them

The metaverse is defined differently by different people but for me, the metaverse is an aha moment. It is a realization by industry that the next wave of computing is comprised of a stack of emerging technologies (including blockchain, AI, IoT, AR and VR) that will all work together to create a fundamental shift in our relationship with technology. 

 



Also see:

 

Both of the items below are from Sam DeBrule’s Machine Learnings e-newsletter:


Also see:

 

What’s ahead for AI, VR, NFTs, and more? — from oreilly.com by Mike Loukides
Here are some predictions for tech in 2022.

Excerpt:

Just as we saw new professions and job classifications when the web appeared in the ’90s, we’ll see new professions and services appear as a result of AI—specifically, as a result of natural language processing. We don’t yet know what these new professions will look like or what new skills they’ll require. But they’ll almost certainly involve collaboration between humans and intelligent machines.

Also see:

  • How A.I. is set to evolve in 2022 — from cnbc.com by Sam Shead
    Key Points: 
    * AI can excel at specific narrow tasks such as playing chess but it struggles to do more than one thing well.
    * While AI still has a long way to go before anything like human-level intelligence is achieved, it hasn’t stopped the likes of Google, Facebook and Amazon investing billions of dollars.
 

Frequently Asked Questions About Metaverse — from 101blockchains.com by Georgia Weston

You can also discover many other interesting use cases of the metaverse, such as creating virtual learning spaces or virtual tourism. 

 

Also see:

Top 5 Blockchain And Crypto Projects In The Metaverse — from 101blockchains.com by Georgia Weston

 

From DSC:
As the article below clearly relays, MOOCs did NOT fail! In the last decade, they have reached 220 million learners worldwide!

I don’t know the total number of graduates from the Ivy League — throughout all of the relevant institutions’ histories — but I would bet you that MOOCs have reached far more learners. And MOOCs did so in less than a decade. 

And you’re going to tell me MOOCs have been a failure?!!!! Are you being serious!?!?!  You can talk about completion rates all that you want to (and that misses the point, as some people sign up for MOOCs without ever intending to finish the entire course). As with other things, people get out of something what they put into that thing.


A Decade of MOOCs: A Review of Stats and Trends for Large-Scale Online Courses in 2021 — from edsurge.com by Dhawal Shah

Excerpts:

Now, a decade later, MOOCs have reached 220 million learners, excluding China where we don’t have as reliable data, . In 2021, providers launched over 3,100 courses and 500 microcredentials.

Originally, MOOC providers relied on universities to create courses. But that dependence is declining as more and more of the courses are created by companies every year. These corporate partners in course creation include tech giants Google, Microsoft, Amazon and Facebook.

…the majority of the new courses launched on Coursera in 2021 are not from universities anymore.

These mass online courses were born without a business model. Yet within a decade, MOOCs went from no revenue to bringing in well over a half a billion dollars annually.

 

If the vision of the “Web3” comes to fruition, how might these developments impact the future of lifelong learning? [Christian]

The next age of the internet could suck power away from Big Tech while living on the same backbone as cryptocurrencies. Here’s what to know about Web3. — from businessinsider.com by Katie Canales

Excerpts (emphasis DSC):

  • Web3 is the next generation of the internet and will exist on the blockchain.
  • It will be decentralized, meaning it won’t be controlled entities like Facebook or Google.
  • Twitter, GameStop, Reddit, and VC firm a16z are all putting resources into building Web3.

One aspect of the metaverse is that users will hopefully be able to go virtually from platform to platform with one single account — just like we will in Web3. 

And NFTs, one-of-a-kind tokens representing your ownership of a virtual good, could be more easily bought and sold with cryptocurrencies within a space like Web3. 


From DSC:
How might “Web3” translate into the future of lifelong learning? Here’s one vision/possibility:

There could be several entities and services feeding one's cloud-based learner profile

Each person would have a learner profile/account that could seamlessly log into multiple education/training providers’ platforms and services. The results of that learning could be stored in one’s cloud-based learner profile. This type of next-generation learning platform would still need subject matter experts, instructional designers, programmers, and other team members. But the focus would be on building skills — skills that an artificial intelligence-backed interface would demonstrate are currently being requested by the modern workplace.  This constantly-being-updated list of skills could then link to the learning-related experiences and resources that people could choose from in order to develop those skills.

The following vision/graphic also comes to my mind:

Learning from the living class room


 

AI bots to user data: Is there space for rights in the metaverse? — from reuters.com by Sonia Elks

Summary

  • Facebook’s ‘metaverse’ plans fuel debate on virtual world
  • Shared digital spaces raise privacy, ownership questions
  • Rights campaigners urge regulators to widen safeguards

 

 

From DSC:
From my perspective, both of the items below are highly-related to each other:

Let’s Teach Computer Science Majors to Be Good Citizens. The Whole World Depends on It. — from edsurge.com by Anne-Marie Núñez, Matthew J. Mayhew, Musbah Shaheen and Laura S. Dahl

Excerpt:

Change may need to start earlier in the workforce development pipeline. Undergraduate education offers a key opportunity for recruiting students from historically underrepresented racial and ethnic, gender, and disability groups into computing. Yet even broadened participation in college computer science courses may not shift the tech workforce and block bias from seeping into tech tools if students aren’t taught that diversity and ethics are essential to their field of study and future careers.

Computer Science Majors Lack Citizenship Preparation
Unfortunately, those lessons seem to be missing from many computer science programs.

…and an excerpt from Why AI can’t really filter out “hate news” — with thanks to Sam DeBrule for this resource (emphasis DSC):

The incomprehensibility and unexplainability of huge algorithms
Michael Egnor: What terrifies me about artificial intelligence — and I don’t think one can overstate this danger — is that artificial intelligence has two properties that make it particularly deadly in human civilization. One is concealment. Even though every single purpose in artificial intelligence is human, it’s concealed. We don’t really understand it. We don’t understand Google’s algorithms.

There may even be a situation where Google doesn’t understand Google’s algorithms. But all of it comes from the people who run Google. So the concealment is very dangerous. We don’t know what these programs are doing to our culture. And it may be that no one knows, but they are doing things.

Note:Roman Yampolskiy has written about the incomprehensibility and unexplainability of AI: “Human beings are finite in our abilities. For example, our short term memory is about 7 units on average. In contrast, an AI can remember billions of items and AI capacity to do so is growing exponentially. While never infinite in a true mathematical sense, machine capabilities can be considered such in comparison with ours. This is true for memory, compute speed, and communication abilities.” So we have built-in bias and incomprehensibility at the same time.

From DSC:
That part about concealment reminds me that our society depends upon the state of the hearts of the tech leaders. We don’t like to admit that, but it’s true. The legal realm is too far behind to stop the Wild West of technological change. The legal realm is trying to catch up, but they’re coming onto the race track with no cars…just as pedestrians walking or running as fast as they can….all the while, the technological cars are whizzing by. 

The pace has changed significantly and quickly

 

The net effect of all of this is that we are more dependent upon the ethics, morals, and care for their fellow humankind (or not) of the C-Suites out there (especially Facebook/Meta Platforms, Google, Microsoft, Amazon, Google, and Apple) than we care to admit. Are they producing products and services that aim to help our societies move forward, or are they just trying to make some more bucks? Who — or what — is being served?

The software engineers and software architects are involved here big time as well. “Just because we can doesn’t mean we should.” But that perspective is sometimes in short supply.

 

Timnit Gebru Says Artificial Intelligence Needs to Slow Down — from wired.com by Max Levy
The AI researcher, who left Google last year, says the incentives around AI research are all wrong.

Excerpt:

ARTIFICIAL INTELLIGENCE RESEARCHERS are facing a problem of accountability: How do you try to ensure decisions are responsible when the decision maker is not a responsible person, but rather an algorithm? Right now, only a handful of people and organizations have the power—and resources—to automate decision-making.

Since leaving Google, Gebru has been developing an independent research institute to show a new model for responsible and ethical AI research. The institute aims to answer similar questions as her Ethical AI team, without fraught incentives of private, federal, or academic research—and without ties to corporations or the Department of Defense.

“Our goal is not to make Google more money; it’s not to help the Defense Department figure out how to kill more people more efficiently,” she said.

From DSC:
What does our society need to do to respond to this exponential pace of technological change? And where is the legal realm here?

Speaking of the pace of change…the following quote from The Future Direction And Vision For AI (from marktechpost.com by Imtiaz Adam) speaks to massive changes in this decade as well:

The next generation will feature 5G alongside AI and will lead to a new generation of Tech superstars in addition to some of the existing ones.

In future the variety, volume and velocity of data is likely to substantially increase as we move to the era of 5G and devices at the Edge of the network. The author argues that our experience of development with AI and the arrival of 3G followed by 4G networks will be dramatically overshadowed with the arrival of AI meets 5G and the IoT leading to the rise of the AIoT where the Edge of the network will become key for product and service innovation and business growth.

Also related/see:

 
 

The Hardware and Materials Innovations Enabling Consumer Augmented Reality — from luxresearchinc.com by Vladimir Roznyatovskiy

Excerpt:

Consumer mass-market augmented reality (AR) products and applications could become a fourth wave of modern technological progress, following the PC and smartphone in transformative impact on nearly all aspects of life and business.

However, making widespread consumer AR a reality will require significant innovations in optical components, light engines, and cameras and sensors to reduce size and weight while improving performance. These advances will create significant opportunities for materials and hardware developers. It will be five years to seven years before these efforts translate into viable mass-market devices, but once they do, the opportunities for consumer insights and engagement will be tremendous and a significant source of competitive differentiation.

 
© 2024 | Daniel Christian