What Is the Metaverse? A Beginner’s Guide to Tech’s Latest Obsession — from singularityhub.com by Aaron Frank; with thanks to Jack Aldrich for this resource
The metaverse is the internet, but it’s also a spatial (and often 3D), game-engine-driven collection of virtual environments.

Excerpts:

A couple months ago, friends and business contacts started asking me for a crash course on my professional research studying virtual environments. Their interest reflects an explosion—which you’ve probably noticed—of noise and hype surrounding something called the “metaverse.”

This article is an introduction for a complete or almost beginner. There’s plenty of mainstream coverage on the topic, but it often conflates concepts: virtual reality is not the metaverse (though it’s related), and crypto/Web3 by itself is not the metaverse (though also related). Confusing, I know. Whether you’re a businessperson or bystander, this is my best effort to lay everything out.

So if the metaverse is just the internet—what about the internet is about to change? To answer that question, I’ve broken this article into four parts:

    1. Spatial Computing (What is that?)
    2. Game Engines (What are those?)
    3. Virtual Environments (Is that the metaverse? …sort of)
    4. Virtual Economies (Please don’t tell me I have to learn about NFTs…you might)

Also see:

 
 

Into the metaverse: What does it hold for the future of L&D? — from chieflearningofficer.com by Calvin Coffee

Excerpt:

Instead of putting learners in front of 2D videos where they’re answering questions or just clicking boxes, the metaverse allows learners to experience what a job is actually like before accepting and will enable leaders to see if employees are ready for the next level of work. In the same way flight simulators can prepare pilots for many aspects of operating and flying an aircraft, through technologies like VR the metaverse can prepare employees for almost anything at work.

“This technology can impact every stage of the HR journey for an employee,” Belch says. “We all know the interviewing process is flawed and riddled with bias. Let’s have someone do the job and show us whether or not they can do the job.” And if they mess up in VR, they’re not going to take down the whole factory. From hiring and beyond, there is an abundance of potential spaces that the metaverse can capitalize on and improve.

Research in medical training has found that information retention rates can reach 80 percent after a full year of training through immersive simulated experiences compared to just 20 percent for traditional training. “People are picking it up and are much more comfortable performing their tasks after going through the simulation,” Jordan says. “It’s incredibly powerful.”

Also from chieflearningofficer.com:

 

What technology trends will—and should—lead business agendas in 2022? — from mckinsey.com

Excerpt:

Metaverse. Web3. Crypto. 5G.

These are just a few of the technologies grabbing headlines at the start of 2022. But what technology trends truly sit atop business agendas this year? Which might be under executives’ radars but should be surfaced? And what should business leaders keep in mind as they consider these trends?

We asked some members of the McKinsey Technology Council, a group of global experts convened to assess, track, and debate real emerging trends in business and technology, for their perspectives on these questions. Specifically, we asked the following:

  • What technology trend do you predict will headline business agendas for the remainder of 2022 and why?
  • What technology trend do you think is under businesses’ radars but merits more of executives’ attention?
  • What’s one piece of advice you would give to business leaders as they consider incorporating new technologies into their business?

Also relevant/see:

The top trends in tech — from mckinsey.com
Which technologies have the most momentum in an accelerating world? We identified the trends that matter most.

McKinsey tech trends index

Marketing in the metaverse: An opportunity for innovation and experimentation — from mckinsey.com
Although widespread adoption of the metaverse may take some time, leading brands are already rewriting the rules of marketing.

Marketers would be remiss if they didn’t start exploring what the metaverse can offer. Now is the right time to adopt a test-and-learn mindset, to be open to experiments, and to move on quickly from failure and capitalize on success.

From DSC:
And not just marketers. How about teachers, professors, trainers, and instructional designers?

#Metaverse #learningfromthelivingclassroom #learningecosystems #learning #training #education #K12 #highereducation #vocations #careers #corporatetraining #learninganddevelopment

 

U.S. issues charges in first criminal cryptocurrency sanctions case — from washingtonpost.com by Spencer S. Hsu
Federal judge finds U.S. sanctions laws apply to $10 million in Bitcoin sent by American citizen to a country blacklisted by Washington

Excerpt:

The Justice Department has launched its first criminal prosecution involving the alleged use of cryptocurrency to evade U.S. economic sanctions, a federal judge disclosed Friday.

 

Opportunities for Education in the Metaverse -- from downes.ca by Stephen Downes

Opportunities for Education in the Metaverse — from downes.ca by Stephen Downes

Excerpt:

This short presentation introduces major elements of the metaverse, outlines some applications for education, discusses how it may be combined with other technologies for advanced applications, and outlines some issues and concerns.

Also relevant/see:

What Should Higher Ed in the Metaverse Look like? – from linkedin.com by Joe Schaefer

Excerpt:

The Metaverse is coming whether we like it or not, and it is time for educators to think critically about how it can benefit students. As higher education continues to evolve, I believe every learning product and platform working with or within the Metaverse should, at least, have these functionalities:


Addendum on 5/23/22:


 

From DSC:
Wow…I hadn’t heard of voice banking before. This was an interesting item from multiple perspectives.

Providing a creative way for people with Motor Neurone Disease to bank their voices, I Will Always Be Me is a dynamic and heartfelt publication — from itsnicethat.com by Olivia Hingley
Speaking to the project’s illustrator and creative director, we discover how the book aims to be a tool for family and loved ones to discuss and come to terms with the diagnosis.

Excerpt:

Whilst voice banking technology is widely available to those suffering from MND, Tal says that the primary problem is “that not enough people are banking their voice because the process is long, boring and solitary. People with MND don’t want to sit in a lonely room to record random phrases and sentences; they already have a lot to deal with.” Therefore, many people only realise or interact with the importance of voice banking when their voice has already deteriorated. “So,” Tal expands, “the brief we got was: turn voice banking into something that people will want to do as soon as they’re diagnosed.”

 

Ransomware is already out of control. AI-powered ransomware could be ‘terrifying.’ — from protocol.com by Kyle Alspach
Hiring AI experts to automate ransomware could be the next step for well-endowed ransomware groups that are seeking to scale up their attacks.

Excerpt:

In the perpetual battle between cybercriminals and defenders, the latter have always had one largely unchallenged advantage: The use of AI and machine learning allows them to automate a lot of what they do, especially around detecting and responding to attacks. This leg-up hasn’t been nearly enough to keep ransomware at bay, but it has still been far more than what cybercriminals have ever been able to muster in terms of AI and automation.

That’s because deploying AI-powered ransomware would require AI expertise. And the ransomware gangs don’t have it. At least not yet.

But given the wealth accumulated by a number of ransomware gangs in recent years, it may not be long before attackers do bring aboard AI experts of their own, prominent cybersecurity authority Mikko Hyppönen said.

Also re: AI, see:

Nuance partners with The Academy to launch The AI Collaborative — from artificialintelligence-news.com by Ryan Daws

Excerpt:

Nuance has partnered with The Health Management Academy (The Academy) to launch The AI Collaborative, an industry group focused on advancing healthcare using artificial intelligence and machine learning.

Nuance became a household name for creating the speech engine recognition engine behind Siri. In recent years, the company has put a strong focus on AI solutions for healthcare and is now a full-service partner of 77 percent of US hospitals and is trusted by over 500,000 physicians daily.

Inflection AI, led by LinkedIn and DeepMind co-founders, raises $225M to transform computer-human interactions — from techcrunch.com by Kyle Wiggers

Excerpts:

Inflection AI, the machine learning startup headed by LinkedIn co-founder Reid Hoffman and founding DeepMind member Mustafa Suleyman, has secured $225 million in equity financing, according to a filing with the U.S. Securities and Exchange Commission.

“[Programming languages, mice, and other interfaces] are ways we simplify our ideas and reduce their complexity and in some ways their creativity and their uniqueness in order to get a machine to do something,” Suleyman told the publication. “It feels like we’re on the cusp of being able to generate language to pretty much human-level performance. It opens up a whole new suite of things that we can do in the product space.”

 

AI research is a dumpster fire and Google’s holding the matches — from thenextweb.com by Tristan Greene
Scientific endeavor is no match for corporate greed

Excerpts:

The world of AI research is in shambles. From the academics prioritizing easy-to-monetize schemes over breaking novel ground, to the Silicon Valley elite using the threat of job loss to encourage corporate-friendly hypotheses, the system is a broken mess.

And Google deserves a lion’s share of the blame.

Google, more than any other company, bears responsibility for the modern AI paradigm. That means we need to give big G full marks for bringing natural language processing and image recognition to the masses.

It also means we can credit Google with creating the researcher-eat-researcher environment that has some college students and their big-tech-partnered professors treating research papers as little more than bait for venture capitalists and corporate headhunters.

But the system’s set up to encourage the monetization of algorithms first, and to further the field second. In order for this to change, big tech and academia both need to commit to wholesale reform in how research is presented and reviewed.

Also relevant/see:

Every month Essentials publish an Industry Trend Report on AI in general and the following related topics:

  • AI Research
  • AI Applied Use Cases
  • AI Ethics
  • AI Robotics
  • AI Marketing
  • AI Cybersecurity
  • AI Healthcare

It’s never too early to get your AI ethics right — from protocol.com by Veronica Irwin
The Ethical AI Governance Group wants to give startups a framework for avoiding scandals and blunders while deploying new technology.

Excerpt:

To solve this problem, a group of consultants, venture capitalists and executives in AI created the Ethical AI Governance Group last September. In March, it went public, and published a survey-style “continuum” for investors to use in advising the startups in their portfolio.

The continuum conveys clear guidance for startups at various growth stages, recommending that startups have people in charge of AI governance and data privacy strategy, for example. EAIGG leadership argues that using the continuum will protect VC portfolios from value-destroying scandals.

 

7 Essential Ingredients of a Metaverse — from future.a16z.com by Liz Harkavy, Eddy Lazzarin, Arianna Simpson

Excerpt:

There has been a lot of buzz about “the metaverse” since its coinage in the ‘90s, but especially during the pandemic (given the surge in online activity), and even more so after Facebook changed its name to Meta.

Is this just a bit of opaque marketing-speak? What is a metaverse exactly? How does one define the term, and where does one draw a line between a metaverse and, say, just another virtual world? These are common questions that people ask about the metaverse, so we thought we’d outline how we see it and how the metaverse intersects with web3.

Also relevant/see:

 

The rise of tech ethicists shows how the industry is changing — from protocol.com by Veronica Irwin
Though the job titles are new, the ways to attract new talent are virtually the same.

Excerpt:

In 2022, “responsible tech” is a career path. Job titles range from “trust and safety officer” to “policy lead.” And several organizations and academic institutions are engaged in ecosystem-mapping projects to define which academic programs best prepare students to work in the field, how the jobs are described and what companies are pursuing ethical tech in earnest.

“There’s a lot of appetite for this, especially as the public has become very aware of highly publicized problems with technology,” Tweed, now the program director for All Tech is Human, said. “I see that continuing to grow for the foreseeable future.”

Speaking of careers, here’s another item:

 

Radar trends to watch: May 2022 — from oreilly.com
Developments in Web3, Security, Biology, and More

Excerpt:

April was the month for large language models. There was one announcement after another; most new models were larger than the previous ones, several claimed to be significantly more energy efficient.

 
 

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

Excerpts:

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 April 1-30, 2022.

 

12 examples of artificial intelligence in everyday life — from itproportal.com by Christopher Oldman

Excerpt:

4. Plagiarism
The college students’ (or is it professor’s?) nightmare. Whether you are a content manager or a teacher grading essays, you have the same problem – the internet makes plagiarism easier.

There is a nigh unlimited amount of information and data out there, and less-than-scrupulous students and employees will readily take advantage of that.

Indeed, no human could compare and contrast somebody’s essay with all the data out there. AIs are a whole different beast.

They can sift through an insane amount of information, compare it with the relevant text, and see if there is a match or not.

Furthermore, thanks to advancement and growth in this area, some tools can actually check sources in foreign languages, as well as images and audio.

Intel calls its AI that detects student emotions a teaching tool. Others call it ‘morally reprehensible.’ — from protocol.com by Kate Kaye
Virtual school software startup Classroom Technologies will test the controversial “emotion AI” technology.

Excerpts:

But Intel and Classroom Technologies, which sells virtual school software called Class, think there might be a better way. The companies have partnered to integrate an AI-based technology developed by Intel with Class, which runs on top of Zoom. Intel claims its system can detect whether students are bored, distracted or confused by assessing their facial expressions and how they’re interacting with educational content.

But critics argue that it is not possible to accurately determine whether someone is feeling bored, confused, happy or sad based on their facial expressions or other external signals.

The classroom is just one arena where controversial “emotion AI” is finding its way into everyday tech products and generating investor interest. It’s also seeping into delivery and passenger vehicles and virtual sales and customer service software.

MIT’s FutureMakers programs help kids get their minds around — and hands on — AI — from news.mit.edu by Kim Patch
The programs are designed to foster an understanding of how artificial intelligence technologies work, including their social implications.

Excerpt:

During one-week, themed FutureMakers Workshops organized around key topics related to AI, students learn how AI technologies work, including social implications, then build something that uses AI.

“AI is shaping our behaviors, it’s shaping the way we think, it’s shaping the way we learn, and a lot of people aren’t even aware of that,” says Breazeal. “People now need to be AI literate given how AI is rapidly changing digital literacy and digital citizenship.”

AI can now kill those annoying cookie pop-ups — from thenextweb.com by Thomas Macaulay
The notifications have been put on notice

Excerpt:

After years of suffering this digital torture, a new AI tool has finally offered hope of an escape.

Named CookieEnforcer, the system was created by researchers from Google and the University of Wisconsin-Madison.

The system was created to stop cookies from manipulating people into making website-friendly choices that put their privacy at risk. Yet it could also end the constant hassle of navigating the notices.

Using machine learning to improve student success in higher education — from mckinsey.com
Deploying machine learning and advanced analytics thoughtfully and to their full potential may support improvements in student access, success, and the overall student experience.

Excerpt:

Yet higher education is still in the early stages of data capability building. With universities facing many challenges (such as financial pressures, the demographic cliff, and an uptick in student mental-health issues) and a variety of opportunities (including reaching adult learners and scaling online learning), expanding use of advanced analytics and machine learning may prove beneficial.

Below, we share some of the most promising use cases for advanced analytics in higher education to show how universities are capitalizing on those opportunities to overcome current challenges, both enabling access for many more students and improving the student experience.

Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis
Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization

Excerpt:

Rather than a Great Resignation, this would suggest a Great Reallocation of the workforce. As a global search consultant, we are seeing this precipitous shift in positions, with great demand for skills in artificial intelligence and machine learning (AI/ML).

With that in mind, here are seven artificial intelligence (AI)-related roles to consider prioritizing right now as the workforce reallocates talent to new jobs that drive economic value for leading companies…

4 ways AI will be a great teaching assistant — from thetechedvocate.org by Matthew Lynch

 
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