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60 Minutes interview with ‘the Godfather of AI’, Geoffrey Hinton [CBS, w/ reflections from Downes & Marcus] + other items re: AI in general

On 10/15/2023, in 21st century, 24x7x365 access, Adobe, Artificial Intelligence/Agents/LLMs/and Related, business, Canada, computer science, emerging technologies, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, intelligent systems, open courseware and systems, platforms, robotics, society, the downsides of how people use tech, tools, trends, UK, United States, vendors, by Daniel Christian

WHAT WAS GARY MARCUS THINKING, IN THAT INTERVIEW WITH GEOFF HINTON? — from linkedin.com by Stephen Downes

Background (emphasis DSC): 60 Minutes did an interview with ‘the Godfather of AI’, Geoffrey Hinton. In response, Gary Marcus wrote a column in which he inserted his own set of responses into the transcript, as though he were a panel participant. Neat idea. So, of course, I’m stealing it, and in what follows, I insert my own comments as I join the 60 Minutes panel with Geoffrey Hinton and Gary Marcus.

Usually I put everyone else’s text in italics, but for this post I’ll put it all in normal font, to keep the format consistent.

Godfather of Artificial Intelligence Geoffrey Hinton on the promise, risks of advanced AI

OpenAI’s Revenue Skyrockets to $1.3 Billion Annualized Rate — from maginative.com by Chris McKay
This means the company is generating over $100 million per month—a 30% increase from just this past summer.

OpenAI, the company behind the viral conversational AI ChatGPT, is experiencing explosive revenue growth. The Information reports that CEO Sam Altman told the staff this week that OpenAI’s revenue is now crossing $1.3 billion on an annualized basis. This means the company is generating over $100 million per month—a 30% increase from just this past summer.

Since the launch of a paid version of ChatGPT in February, OpenAI’s financial growth has been nothing short of meteoric. Additionally, in August, the company announced the launch of ChatGPT Enterprise, a commercial version of its popular conversational AI chatbot aimed at business users.

For comparison, OpenAI’s total revenue for all of 2022 was just $28 million. The launch of ChatGPT has turbocharged OpenAI’s business, positioning it as a bellwether for demand for generative AI.

From 10/13:

New ways to get inspired with generative AI in Search — from blog.google
We’re testing new ways to get more done right from Search, like the ability to generate imagery with AI or creating the first draft of something you need to write.

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Creating an ‘ecosystem’ to close the Black talent gap in technology [McKinsey]

On 10/14/2023, in Bias | Diversity Equity & Inclusion (DE&I), business, career development, colleges, communities of practice, community colleges, computer science, corporate / business world, corporate universities / corporate training, cost of getting a degree, culture, society, sociology, technology (general), training / L&D, United States, universities, vendors, vision/possibilities, by Daniel Christian

Creating an ‘ecosystem’ to close the Black talent gap in technology — from mckinsey.com (emphasis below from DSC)

Chris Perkins, associate partner, McKinsey: Promoting diversity in tech is more nuanced than driving traditional diversity initiatives. This is primarily because of the specialized hard and soft skills required to enter tech-oriented professions and succeed throughout their careers. Our research shows us that various actors, such as nonprofits, for-profits, government agencies, and educational institutions are approaching the problem in small pockets. Could we help catalyze an ecosystem with wraparound support across sectors?

To design this, we have to look at the full pipeline and its “leakage” points, from getting talent trained and in the door all the way up to the C-suite. These gaps are caused by lack of awareness and support in early childhood education through college, and lack of sponsorship and mentorship in early- and mid- career positions.

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Thinking with Colleagues: AI in Education [Grush & Wagner]

On 10/14/2023, in accessibility / UDL, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, Bias | Diversity Equity & Inclusion (DE&I), change, colleges, communities of practice, community colleges, copyright/ownership/NFTs, education technology, emerging technologies, engagement / engaging students, experimentation, face-to-face, faculty, future of higher education, game-changing environment, generational differences, Google, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, K-12 related, learning, learning ecosystem, Learning Experience Design, liberal arts, Microsoft, open courseware and systems, platforms, privacy, student-related, teaching & learning, United States, universities, vendors, by Daniel Christian

Thinking with Colleagues: AI in Education — from campustechnology.com by Mary Grush
A Q&A with Ellen Wagner

Wagner herself recently relied on the power of collegial conversations to probe the question: What’s on the minds of educators as they make ready for the growing influence of AI in higher education? CT asked her for some takeaways from the process.

We are in the very early days of seeing how AI is going to affect education. Some of us are going to need to stay focused on the basic research to test hypotheses. Others are going to dive into laboratory “sandboxes” to see if we can build some new applications and tools for ourselves. Still others will continue to scan newsletters like ProductHunt every day to see what kinds of things people are working on. It’s going to be hard to keep up, to filter out the noise on our own. That’s one reason why thinking with colleagues is so very important.

Mary and Ellen linked to “What Is Top of Mind for Higher Education Leaders about AI?” — from northcoasteduvisory.com. Below are some excerpts from those notes:

We are interested how K-12 education will change in terms of foundational learning. With in-class, active learning designs, will younger students do a lot more intensive building of foundational writing and critical thinking skills before they get to college?

  1. The Human in the Loop: AI is built using math: think of applied statistics on steroids. Humans will be needed more than ever to manage, review and evaluate the validity and reliability of results. Curation will be essential.
  2. We will need to generate ideas about how to address AI factors such as privacy, equity, bias, copyright, intellectual property, accessibility, and scalability.
  3. Have other institutions experimented with AI detection and/or have held off on emerging tools related to this? We have just recently adjusted guidance and paused some tools related to this given the massive inaccuracies in detection (and related downstream issues in faculty-elevated conduct cases)

Even though we learn repeatedly that innovation has a lot to do with effective project management and a solid message that helps people understand what they can do to implement change, people really need innovation to be more exciting and visionary than that.  This is the place where we all need to help each other stay the course of change. 

Along these lines, also see:

What people ask me most. Also, some answers. — from oneusefulthing.org by Ethan Mollick
A FAQ of sorts

I have been talking to a lot of people about Generative AI, from teachers to business executives to artists to people actually building LLMs. In these conversations, a few key questions and themes keep coming up over and over again. Many of those questions are more informed by viral news articles about AI than about the real thing, so I thought I would try to answer a few of the most common, to the best of my ability.

I can’t blame people for asking because, for whatever reason, the companies actually building and releasing Large Language Models often seem allergic to providing any sort of documentation or tutorial besides technical notes. I was given much better documentation for the generic garden hose I bought on Amazon than for the immensely powerful AI tools being released by the world’s largest companies. So, it is no surprise that rumor has been the way that people learn about AI capabilities.

Currently, there are only really three AIs to consider: (1) OpenAI’s GPT-4 (which you can get access to with a Plus subscription or via Microsoft Bing in creative mode, for free), (2) Google’s Bard (free), or (3) Anthropic’s Claude 2 (free, but paid mode gets you faster access). As of today, GPT-4 is the clear leader, Claude 2 is second best (but can handle longer documents), and Google trails, but that will likely change very soon when Google updates its model, which is rumored to be happening in the near future.

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“The Legal Tech Ecosystem: Innovation, Advancement & the Future of Law Practice” [Levy]

On 10/10/2023, in 21st century, 24x7x365 access, innovation, Legal operations, legal technologies, legislatures / government / legal, technology (general), vendors, Virtual courts and law firms, by Daniel Christian

The Legal Tech Ecosystem: Innovation, Advancement & the Future of Law Practice — by Colin Levy (Author), Tatia Gordon-Troy (Editor), Bjarne Tellman (Foreword)

The Legal Tech Ecosystem: Innovation, Advancement & the Future of Law Practice

The legal landscape is evolving at an unprecedented pace, with the seismic shifts of recent years demanding a fresh perspective on the role of technology and innovation within the legal profession. The Legal Tech Ecosystem delves into this essential transformation, shedding light on the crucial interplay between law and technology in today’s complex world.

At its core, this book addresses the profound changes unfolding in the legal domain, driven by macro-economic forces. These changes have placed an ever-increasing burden on legal departments to accomplish more with fewer resources. A quartet of pillars—the explosive growth of regulations, the challenges posed by globalization, the convergence of risk dimensions, and the pressure on corporate profits—has created an environment where legal professionals must adapt swiftly to succeed.

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“Meta Is Paying Creators Millions for AI Chatbots” [Ben’s Bites] + other items re: AI in general

On 10/09/2023, in Artificial Intelligence/Agents/LLMs/and Related, communications, content development, aggregation, repositories, corporate / business world, emerging technologies, experimentation, Facebook / Meta Platforms, vendors, workplace, by Daniel Christian

Chatbot hallucinations are poisoning web search — from link.wired.com by Will Knight

The age of generative AI threatens to sprinkle epistemological sand into the gears of web search by fooling algorithms designed for a time when the web was mostly written by humans.

Meta Is Paying Creators Millions for AI Chatbots — from bensbites.beehiiv.com

Meta is shelling out millions to get celebrities to license their likenesses for AI characters in a bid to draw users to its platforms.
…
Why should I care?
Meta is still all-in on its vision for the metaverse and AI, despite its recent struggles. Meta seems willing to pay top dollar to partner with big names who can draw their massive audiences to use the AI avatars. If the celebrity avatars take off, they could be a blueprint for how creators monetize their brands in virtual worlds. There’s also a chance Meta pulls the plug on funding if user traction is low, just as it did with Facebook Watch originals.

The Post-AI Workplace — from drphilippahardman.substack.com by Dr. Philippa Hartman
SAP SuccessFactors’ new product offers the most comprehensive insight yet into the post-AI workplace & workforce

Skills Maps
AI will be used to categorise, track and analyse employee skills and competencies. This will enable orgs to build a clear idea of pockets of talent and areas in need of focus, providing HR, L&D professionals & managers with the opportunity to take a data-driven approach to talent development and capability building.

Roles Impacted: HR Analysts, Managers, Learning & Development Professionals

More than 40% of labor force to be affected by AI in 3 years, Morgan Stanley forecasts — from cnbc.com by Samantha Subin

Analyst Brian Nowak estimates that the AI technology will have a $4.1 trillion economic effect on the labor force — or affect about 44% of labor — over the next few years by changing input costs, automating tasks and shifting the ways companies obtain, process and analyze information. Today, Morgan Stanley pegs the AI effect at $2.1 trillion, affecting 25% of labor.

“We see generative AI expanding the scope of business processes that can be automated,” he wrote in a Sunday note. “At the same time, the input costs supporting GenAI functionality are rapidly falling, enabling a strongly expansionary impact to software production. As a result, Generative AI is set to impact the labor markets, expand the enterprise software TAM, and drive incremental spend for Public Cloud services.”

Speaking of the changes in the workplace, also see:

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Think about this with online-based learning: “Photo-realistic avatars show future of Metaverse communication”

On 10/09/2023, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, collaboration, communications, communities of practice, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, lifelong learning, Metaverse, online learning, platforms, society, teaching & learning, teaching online, technologies for your home, tools, United States, universities, user experience (UX), user interface design, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, wearables, web-based collaboration, Web3, XR - extended reality, by Daniel Christian

Mark Zuckerberg: First Interview in the Metaverse | Lex Fridman Podcast #398

Photo-realistic avatars show future of Metaverse communication — from inavateonthenet.net

Mark Zuckerberg, CEO, Meta, took part in the first-ever Metaverse interview using photo-realistic virtual avatars, demonstrating the Metaverse’s capability for virtual communication.

Zuckerberg appeared on the Lex Fridman podcast, using scans of both Fridman and Zuckerberg to create realistic avatars instead of using a live video feed. A computer model of the avatar’s faces and bodies are put into a Codec, using a headset to send an encoded version of the avatar.

The interview explored the future of AI in the metaverse, as well as the Quest 3 headset and the future of humanity.

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“NYC District Goes From Banning ChatGPT to Exploring AI’s Potential” [Klein] + other items re: AI in our learning ecosystems

On 10/09/2023, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, curriculum, education, education technology, emerging technologies, experimentation, faculty, future, game-changing environment, generational differences, Google, higher education, instructional design, intelligent systems, IT in HE, leadership, learning ecosystem, Learning Experience Design, pace of change, personalized/customized learning, platforms, policy, strategy, teachers, teaching & learning, trends, United States, universities, vendors, by Daniel Christian

180 Degree Turn: NYC District Goes From Banning ChatGPT to Exploring AI’s Potential — from edweek.org by Alyson Klein (behind paywall)

New York City Public Schools will launch an Artificial Intelligence Policy Lab to guide the nation’s largest school district’s approach to this rapidly evolving technology.

The Leader’s Blindspot: How to Prepare for the Real Future — from preview.mailerlite.io by the AIEducator
The Commonly Held Belief: AI Will Automate Only Boring, Repetitive Tasks First

The Days of Task-Based Views on AI Are Numbered
The winds of change are sweeping across the educational landscape (emphasis DSC):

  1. Multifaceted AI: AI technologies are not one-trick ponies; they are evolving into complex systems that can handle a variety of tasks.
  2. Rising Expectations: As technology becomes integral to our lives, the expectations for personalised, efficient education are soaring.
  3. Skill Transformation: Future job markets will demand a different skill set, one that is symbiotic with AI capabilities.

Teaching: How to help students better understand generative AI — from chronicle.com by Beth McMurtrie
Beth describes ways professors have used ChatGPT to bolster critical thinking in writing-intensive courses

Kevin McCullen, an associate professor of computer science at the State University of New York at Plattsburgh, teaches a freshman seminar about AI and robotics. As part of the course, students read Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots, by John Markoff. McCullen had the students work in groups to outline and summarize the first three chapters. Then he showed them what ChatGPT had produced in an outline.

“Their version and ChatGPT’s version seemed to be from two different books,” McCullen wrote. “ChatGPT’s version was essentially a ‘laundry list’ of events. Their version was narratives of what they found interesting. The students had focused on what the story was telling them, while ChatGPT focused on who did what in what year.” The chatbot also introduced false information, such as wrong chapter names.

The students, he wrote, found the writing “soulless.”

7 Questions with Dr. Cristi Ford, VP of Academic Affairs at D2L — from campustechnology.com by Rhea Kelly

In the Wild West of generative AI, educators and institutions are working out how best to use the technology for learning. How can institutions define AI guidelines that allow for experimentation while providing students with consistent guidance on appropriate use of AI tools?

To find out, we spoke with Dr. Cristi Ford, vice president of academic affairs at D2L. With more than two decades of educational experience in nonprofit, higher education, and K-12 institutions, Ford works with D2L’s institutional partners to elevate best practices in teaching, learning, and student support. Here, she shares her advice on setting and communicating AI policies that are consistent and future-ready.

AI Platform Built by Teachers, for Teachers, Class Companion Raises $4 Million to Tap Into the Power of Practice — from prweb.com

“If we want to use AI to improve education, we need more teachers at the table,” said Avery Pan, Class Companion co-founder and CEO. “Class Companion is designed by teachers, for teachers, to harness the most sophisticated AI and improve their classroom experience. Developing technologies specifically for teachers is imperative to supporting our next generation of students and education system.”

7 Questions on Generative AI in Learning Design — from campustechnology.com by Rhea Kelly
Open LMS Adoption and Education Specialist Michael Vaughn on the challenges and possibilities of using artificial intelligence to move teaching and learning forward.

The potential for artificial intelligence tools to speed up course design could be an attractive prospect for overworked faculty and spread-thin instructional designers. Generative AI can shine, for example, in tasks such as reworking assessment question sets, writing course outlines and learning objectives, and generating subtitles for audio and video clips. The key, says Michael Vaughn, adoption and education specialist at learning platform Open LMS, is treating AI like an intern who can be guided and molded along the way, and whose work is then vetted by a human expert.

We spoke with Vaughn about how best to utilize generative AI in learning design, ethical issues to consider, and how to formulate an institution-wide policy that can guide AI use today and in the future.

10 Ways Technology Leaders Can Step Up and Into the Generative AI Discussion in Higher Ed — from er.educause.edu by Lance Eaton and Stan Waddell

  1. Offer Short Primers on Generative AI
  2. Explain How to Get Started
  3. Suggest Best Practices for Engaging with Generative AI
  4. Give Recommendations for Different Groups
  5. Recommend Tools
  6. Explain the Closed vs. Open-Source Divide
  7. Avoid Pitfalls
  8. Conduct Workshops and Events
  9. Spot the Fake
  10. Provide Proper Guidance on the Limitations of AI Detectors

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Canva and Adobe are going hard with it re: the use of AI

On 10/09/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, communications, community colleges, content development, aggregation, repositories, corporate universities / corporate training, design, digital photography, digital video, education technology, emerging technologies, engagement / engaging students, experimentation, faculty, graphics, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, K-12 related, liberal arts, maker movement, multimedia, online media, photography, platforms, productivity / tips and tricks, skills, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, technologies for your home, tools, training / L&D, United States, universities, vendors, visualizing information, web design and production, by Daniel Christian

Canva’s new AI tools automate boring, labor-intensive design tasks — from theverge.com by Jess Weatherbed
Magic Studio features like Magic Switch automatically convert your designs into blogs, social media posts, emails, and more to save time on manually editing documents.

Canva launches Magic Studio, partners with Runway ML for video — from bensbites.beehiiv.com by Ben Tossell

Here are the highlights of launched features under the new Magic Studio:

  • Magic Design – Turn ideas into designs instantly with AI-generated templates.
  • Magic Switch – Transform content into different formats and languages with one click.
  • Magic Grab – Make images editable like Canva templates for easy editing.
  • Magic Expand – Use AI to expand images beyond the original frame.
  • Magic Morph – Transform text and shapes with creative effects and prompts.
  • Magic Edit – Make complex image edits using simple text prompts.
  • Magic Media – Generate professional photos, videos and artworks from text prompts.
  • Magic Animate – Add animated transitions and motion to designs instantly.
  • Magic Write – Generate draft text and summaries powered by AI.

Adobe Firefly

Meet Adobe Firefly -- Adobe is going hard with the use of AI. This is a key product along those lines.

Addendums on 10/11/23:

Adobe Releases New AI Models Aimed at Improved Graphic Design — from bloomberg.com
New version of Firefly is bigger than initial tool, Adobe says Illustrator, Express programs each get own generative tools

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Introducing Magic Studio: the power of AI, all in one place [Canva.com]

On 10/06/2023, in art, Artificial Intelligence/Agents/LLMs/and Related, communications, creativity, design, digital storytelling, emerging technologies, engagement / engaging students, experimentation, graphics, vendors, by Daniel Christian

Introducing Magic Studio: the power of AI, all in one place — from canva.com

Also relevant/see:

Canva’s new AI features make everyone a designer — from joinsuperhuman.ai by Zain Kahn

…here are all the cool new ways you can use Canva to create pro-grade designs for your work:

  • Magic Media: Generate photos and videos with text prompts.
  • Magic Design: Turn ideas into designs with AI-generated templates.
  • Magic Switch: Translate content into different languages and formats.
  • Magic Expand: Make images bigger with AI.
  • Magic Edit: Edit images with simple text prompts.
  • Magic Morph: Transform text and shapes with visual effects.
  • Magic Write: Generate texts and summaries with AI.

Canva also announced that they’re creating a $200 million fund to compensate creators who opt-in to train their AI models.

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As AI Chatbots Rise, More Educators Look to Oral Exams — With High-Tech Twist [Young]

On 10/06/2023, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, Australia, bots, colleges, community colleges, content development, aggregation, repositories, digital audio, digital learning, education, education technology, emerging technologies, experimentation, future, future of higher education, game-changing environment, higher education, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, multimedia, Natural Language Processing (NLP), platforms, productivity / tips and tricks, teachers, teaching & learning, teaching online, United States, universities, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

As AI Chatbots Rise, More Educators Look to Oral Exams — With High-Tech Twist — from edsurge.com by Jeffrey R. Young

To use Sherpa, an instructor first uploads the reading they’ve assigned, or they can have the student upload a paper they’ve written. Then the tool asks a series of questions about the text (either questions input by the instructor or generated by the AI) to test the student’s grasp of key concepts. The software gives the instructor the choice of whether they want the tool to record audio and video of the conversation, or just audio.

The tool then uses AI to transcribe the audio from each student’s recording and flags areas where the student answer seemed off point. Teachers can review the recording or transcript of the conversation and look at what Sherpa flagged as trouble to evaluate the student’s response.

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Is Your AI Model Going Off the Rails? There May Be an Insurance Policy for That [Lin]

On 10/06/2023, in Artificial Intelligence/Agents/LLMs/and Related, business, corporate / business world, emerging technologies, vendors, by Daniel Christian

Is Your AI Model Going Off the Rails? There May Be an Insurance Policy for That — from wsj.com by Belle Lin; via Brainyacts
As generative AI creates new risks for businesses, insurance companies sense an opportunity to cover the ways AI could go wrong

The many ways a generative artificial intelligence project can go off the rails poses an opportunity for insurance companies, even as those grim scenarios keep business technology executives up at night.

Taking a page from cybersecurity insurance, which saw an uptick in the wake of major breaches several years ago, insurance providers have started taking steps into the AI space by offering financial protection against models that fail.

Corporate technology leaders say such policies could help them address risk-management concerns from board members, chief executives and legal departments.

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Reimagining Hiring and Learning with the Power of AI [LinkedIn’s Srinivasan]

On 10/04/2023, in Artificial Intelligence/Agents/LLMs/and Related, career development, Microsoft, platforms, skills, trends, United States, vendors, workplace, by Daniel Christian

Reimagining Hiring and Learning with the Power of AI — from linkedin.com by Hari Srinivasan

That’s why today we’re piloting new tools like our new release of Recruiter 2024 and LinkedIn Learning’s AI-powered coaching experience to help with some of the heavy lifting so HR professionals can focus on what matters most.

“AI is quickly transforming recruitment, training, and many other HR practices,” says Josh Bersin, industry analyst and CEO of The Josh Bersin Company. “LinkedIn’s new features in Recruiter 2024 and LinkedIn Learning can massively improve recruiter productivity and help all employees build the skills they need to grow in their careers.”

By pairing generative AI with our unique insights gained from the more than 950 million professionals, 65 million companies, and 40,000 skills on our platform, we’ve reimagined our Recruiter product to help our customers find that short list of qualified candidates — faster.

From DSC:
While I’m very interested to see how Microsoft’s AI-powered LinkedIn Learning coach will impact peoples’ growth/development, I need to admit that I still approach AI and hiring/finding talent with caution. I’m sure I was weeded out by several Applicant Tracking Systems (ATS) back in 2017 when I was looking for my next position — and I only applied to positions that I had the qualifications for. And if you’ve tried to get a job recently, I bet you were weeded out by an ATS as well. So while this might help recruiters, the jury is still out for me as to whether these developments are good or bad for the rest of society.

Traditional institutions of higher education may want to research these developments to see which SKILLS are in demand.

Also relevant/see:

LinkedIn Launches Exciting Gen AI Features in Recruiter and Learning — from joshbersin.com by Josh Bersin

This week LinkedIn announced some massive Gen AI features in its two flagship products: LinkedIn Recruiter and LinkedIn Learning. Let me give you an overview.

LinkedIn goes big on new AI tools for learning, recruitment, marketing and sales, powered by OpenAI — from techcrunch.com by Ingrid Lunden

LinkedIn Learning will be incorporating AI in the form of a “learning coach” that is essentially built as a chatbot. Initially the advice that it will give will be trained on suggestions and tips, and it will be firmly in the camp of soft skills. One example: “How can I delegate tasks and responsibility effectively?”

The coach might suggest actual courses, but more importantly, it will actually also provide information, and advice, to users. LinkedIn itself has a giant catalogue of learning videos, covering both those soft skills but also actual technical skills and other knowledge needed for specific jobs. It will be interesting to see if LinkedIn extends the coach to covering that material, too.

 

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“This is the future of Media.” [Ekenstam] + other items re: AI in general

On 09/29/2023, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, Adobe, Apple, art, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, creativity, digital audio, digital textbooks, digital video, emerging technologies, Emotion, engagement / engaging students, Metaverse, multimedia, platforms, telelegal, telemedicine / telehealth / virtual health, telepresence, tools, United States, user experience (UX), vendors, Virtual courts and law firms, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, wearables, web-based collaboration, Web3, by Daniel Christian

Adobe video-AI announcements for IBC — from provideocoalition.com by Rich Young

For the IBC 2023 conference, Adobe announced new AI and 3D features to Creative Cloud video tools, including Premiere Pro Enhance Speech for faster dialog cleanup, and filler word detection and removal in Text-Based Editing. There’s also new AI-based rotoscoping and a true 3D workspace in the After Effects beta, as well as new camera-to-cloud integrations and advanced storage options in Frame.io.

Though not really about AI, you might also be interested in this posting:

Airt AI Art Generator (Review) — from hongkiat.com
Turn your creative ideas into masterpieces using Airt’s AI iPad app.

The Airt AI Generator app makes it easy to create art on your iPad. You can pick an art style and a model to make your artwork. It’s simple enough for anyone to use, but it doesn’t have many options for customizing your art.

Even with these limitations, it’s a good starting point for people who want to try making art with AI. Here are the good and bad points we found.

Pros:

  • User-Friendly: The app is simple and easy to use, making it accessible for users of all skill levels.

Cons:

  • Limited Advanced Features: The app lacks options for customization, such as altering image ratios, seeds, and other settings.

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An 8th grader reviews traditional Khan Academy and its AI-powered tutor, Khanmigo [Goldstein] + other items re: AI in our learning ecosystems

On 09/29/2023, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, content development, aggregation, repositories, education technology, emerging technologies, ethics, faculty, higher education, innovation, instructional design, intelligent systems, learning ecosystem, Learning Experience Design, student-related, tools, United States, universities, vendors, vision/possibilities, by Daniel Christian

Comparing Online and AI-Assisted Learning: A Student’s View — from educationnext.org by Daphne Goldstein
An 8th grader reviews traditional Khan Academy and its AI-powered tutor, Khanmigo

Hi everyone, I’m Daphne, a 13-year-old going into 8th grade.

I’m writing to compare “regular” Khan Academy (no AI) to Khanmigo (powered by GPT4), using three of my own made-up criteria.

They are: efficiency, effectiveness, and enjoyability. Efficiency is how fast I am able to cover a math topic and get basic understanding. Effectiveness is my quality of understanding—the difference between basic and advanced understanding. And the final one—most important to kids and maybe least important to adults who make kids learn math—is enjoyability.

7 Questions on Generative AI in Learning Design — from campustechnology.com by Rhea Kelly
Open LMS Adoption and Education Specialist Michael Vaughn on the challenges and possibilities of using artificial intelligence to move teaching and learning forward.

The potential for artificial intelligence tools to speed up course design could be an attractive prospect for overworked faculty and spread-thin instructional designers. Generative AI can shine, for example, in tasks such as reworking assessment question sets, writing course outlines and learning objectives, and generating subtitles for audio and video clips. The key, says Michael Vaughn, adoption and education specialist at learning platform Open LMS, is treating AI like an intern who can be guided and molded along the way, and whose work is then vetted by a human expert.

We spoke with Vaughn about how best to utilize generative AI in learning design, ethical issues to consider, and how to formulate an institution-wide policy that can guide AI use today and in the future.

First Impressions with GPT-4V(ision) — from blog.roboflow.com by James Gallagher; via Donald Clark on LinkedIn

On September 25th, 2023, OpenAI announced the rollout of two new features that extend how people can interact with its recent and most advanced model, GPT-4: the ability to ask questions about images and to use speech as an input to a query.

This functionality marks GPT-4’s move into being a multimodal model. This means that the model can accept multiple “modalities” of input – text and images – and return results based on those inputs. Bing Chat, developed by Microsoft in partnership with OpenAI, and Google’s Bard model both support images as input, too. Read our comparison post to see how Bard and Bing perform with image inputs.

In this guide, we are going to share our first impressions with the GPT-4V image input feature.

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Google Tools and Activities for Art Education [Curts] + other tools to enhance your students’ creativity

On 09/29/2023, in art, content development, aggregation, repositories, creativity, digital audio, digital storytelling, education technology, Emotion, experimentation, Google, multimedia, music, platforms, play, podcasting, student-related, teachers, tools, vendors, by Daniel Christian

Google Tools and Activities for Art Education — from techlearning.com by Eric Curts

Google tools and activities for art education

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Although there is no replacement for getting your hands dirty with finger paints, technology can offer many ways for students to be creative when making art. In addition to creativity, technology can also allow students to explore and learn about art in new and engaging ways.

Some of the best free digital art tools are those from Google that help educators and students with teaching, learning, exploring, and creating art. The wide range of tools and activities available provide nearly infinite possibilities.

Also relevant/see:

And speaking of tools, also see:

  • Soundtrap: How To Use it to Teach — from techlearning.com by Luke Edwards
    Soundtrap is the recording studio for students and teachers that could help in class and beyond

Soundtrap is a music production tool that is designed for use in education. That means a full-on mixing and sound production studio experience, but one that is accessible for students grade six and up.

Since this is relatively simple to use and is available in app as well as web formats, it is highly accessible for both in-class and personal devices.

This tool offers a way to spark creativity in students and a method to help experiment with music that can inspire those new to this world, or enable more experienced students to create complex and explorative music. 

soundtrap.com -- the recording studio for students and teachers

Also relevant/see:

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