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“History repeats itself…again. The ways of the world/power continue on.” [Christian] + other items re: AI

On 11/27/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, change, computer science, corporate / business world, dangers of the status quo, Daniel S. Christian, digital learning, digital video, emerging technologies, experimentation, future, game-changing environment, Google, history, intelligent systems, law schools, leadership, legislatures / government / legal, NVIDIA, organizational change, pace of change, platforms, productivity / tips and tricks, society, the downsides of how people use tech, United States, workplace, by Daniel Christian

Expanding Bard’s understanding of YouTube videos — via AI Valley

  • What: We’re taking the first steps in Bard’s ability to understand YouTube videos. For example, if you’re looking for videos on how to make olive oil cake, you can now also ask how many eggs the recipe in the first video requires.
  • Why: We’ve heard you want deeper engagement with YouTube videos. So we’re expanding the YouTube Extension to understand some video content so you can have a richer conversation with Bard about it.

Reshaping the tree: rebuilding organizations for AI — from oneusefulthing.org by Ethan Mollick
Technological change brings organizational change.

I am not sure who said it first, but there are only two ways to react to exponential change: too early or too late. Today’s AIs are flawed and limited in many ways. While that restricts what AI can do, the capabilities of AI are increasing exponentially, both in terms of the models themselves and the tools these models can use. It might seem too early to consider changing an organization to accommodate AI, but I think that there is a strong possibility that it will quickly become too late.

From DSC:
Readers of this blog have seen the following graphic for several years now, but there is no question that we are in a time of exponential change. One would have had an increasingly hard time arguing the opposite of this perspective during that time.

 

 

Nvidia’s revenue triples as AI chip boom continues — from cnbc.com by Jordan Novet; via GSV

KEY POINTS

  • Nvidia’s results surpassed analysts’ projections for revenue and income in the fiscal fourth quarter.
  • Demand for Nvidia’s graphics processing units has been exceeding supply, thanks to the rise of generative artificial intelligence.
  • Nvidia announced the GH200 GPU during the quarter.

Here’s how the company did, compared to the consensus among analysts surveyed by LSEG, formerly known as Refinitiv:

  • Earnings: $4.02 per share, adjusted, vs. $3.37 per share expected
  • Revenue: $18.12 billion, vs. $16.18 billion expected

Nvidia’s revenue grew 206% year over year during the quarter ending Oct. 29, according to a statement. Net income, at $9.24 billion, or $3.71 per share, was up from $680 million, or 27 cents per share, in the same quarter a year ago.

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“The Wolters Kluwer Future Ready Lawyer Report: Embracing innovation, adapting to change” + other legaltech related items

On 11/17/2023, in 21st century, 24x7x365 access, Access to Justice (A2J), change, changing business models, emerging technologies, future, game-changing environment, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, pace of change, by Daniel Christian

Don’t Believe the Hype? Practical Thoughts About Using AI in Legal (Stephen Embry – TechLaw Crossroads) — from tlpodcast.com by Stephen Embry

Despite the hype and big promises about AI, if it is used correctly, could it be the differentiator that sets good legal professionals apart from the pack? Stephen Embry offers a good argument for this in the latest episode.

Stephen is a long-time attorney and the legal tech aficionado behind the TechLaw Crossroads blog– a great resource for practical and real-world insight about legal tech and how technology is impacting the practice of law. Embry emphasizes that good lawyers will embrace artificial intelligence to increase efficiency and serve their clients better, leaving more time for strategic thinking and advisory roles.

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AI Pedagogy Project, metaLAB (at) Harvard + other AI-related items in our learning ecosystems

On 11/17/2023, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, emerging technologies, Europe, experimentation, faculty, future, future of higher education, game-changing environment, higher education, innovation, intelligent systems, IT in HE, law schools, leadership, learning ecosystem, United States, universities, by Daniel Christian

AI Pedagogy Project, metaLAB (at) Harvard
Creative and critical engagement with AI in education. A collection of assignments and materials inspired by the humanities, for educators curious about how AI affects their students and their syllabi

AI Guide
Focused on the essentials and written to be accessible to a newcomer, this interactive guide will give you the background you need to feel more confident with engaging conversations about AI in your classroom.

From #47 of SAIL: Sensemaking AI Learning — by George Siemens

Excerpt (emphasis DSC):

Welcome to Sensemaking, AI, and Learning (SAIL), a regular look at how AI is impacting education and learning.

Over the last year, after dozens of conferences, many webinars, panels, workshops, and many (many) conversations with colleagues, it’s starting to feel like higher education, as a system, is in an AI groundhog’s day loop. I haven’t heard anything novel generated by universities. We have a chatbot! Soon it will be a tutor! We have a generative AI faculty council! Here’s our list of links to sites that also have lists! We need AI literacy! My mantra over the last while has been that higher education leadership is failing us on AI in a more dramatic way than it failed us on digitization and online learning. What will your universities be buying from AI vendors in five years because they failed to develop a strategic vision and capabilities today?

AI + the Education System — from drphilippahardman.substack.com Dr. Philippa Hardman
The key to relevance, value & excellence?

The magic school of the future is one that helps students learn to work together and care for each other — from stefanbauschard.substack.com by Stefan Bauschard
AI is going to alter economic and professional structures. Will we alter the educational structures?

(e) What is really required is a significant re-organization of schooling and curriculum. At a meta-level, the school system is focused on developing the type of intelligence I opened with, and the economic value of that is going to rapidly decline.

(f). This is all going to happen very quickly (faster than any previous change in history), and many people aren’t paying attention.  AI is already here.

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Where a developing, new kind of learning ecosystem is likely headed [Christian]

On 11/17/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, career development, change, changing business models, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, competency-based learning/education, corporate / business world, corporate universities / corporate training, cost of getting a degree, Daniel S. Christian, digital learning, distance education, education, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, faculty, future, future of higher education, game-changing environment, generational differences, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning spaces, lifelong learning, love of learning, marketplaces, microlearning, more voice more choice more control, new business models, online learning, online media, online tutoring, personalized/customized learning, platforms, professional development, reinvent, skills, smart/connected TV, social learning / networks, society, streams of content, student-related, teachers, teaching & learning, teaching online, technologies for your home, training / L&D, trends, ubiquitous learning, United States, universities, using teams, vendors, virtual tutoring, vision/possibilities, vocational / trades, workplace, youth, by Daniel Christian

From DSC:
As I’ve long stated on the Learning from the Living [Class]Room vision, we are heading toward a new AI-empowered learning platform — where humans play a critically important role in making this new learning ecosystem work.

Along these lines, I ran into this site out on X/Twitter. We’ll see how this unfolds, but it will be an interesting space to watch.

Project Chiron's vision: Our vision for education Every child will soon have a super-intelligent AI teacher by their side. We want to make sure they instill a love of learning in children.

From DSC:
This future learning platform will also focus on developing skills and competencies. Along those lines, see:

Scale for Skills-First — from the-job.beehiiv.com by Paul Fain
An ed-tech giant’s ambitious moves into digital credentialing and learner records.

A Digital Canvas for Skills
Instructure was a player in the skills and credentials space before its recent acquisition of Parchment, a digital transcript company. But that $800M move made many observers wonder if Instructure can develop digital records of skills that learners, colleges, and employers might actually use broadly.
…

Ultimately, he says, the CLR approach will allow students to bring these various learning types into a coherent format for employers.

Instructure seeks a leadership role in working with other organizations to establish common standards for credentials and learner records, to help create consistency. The company collaborates closely with 1EdTech. And last month it helped launch the 1EdTech TrustEd Microcredential Coalition, which aims to increase quality and trust in digital credentials.

Paul also links to 1EDTECH’s page regarding the Comprehensive Learning Record

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Will students be able to create their own personalized degree programs using GPTs? Plus other items re: AI in our LE’s.

On 11/14/2023, in 21st century, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, cloud-based computing / apps / other cloud-related, colleges, community colleges, education, education reform, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, higher education, learning, learning ecosystem, more voice more choice more control, personalized/customized learning, platforms, productivity / tips and tricks, universities, by Daniel Christian

From GPTs (pt. 3) — from theneurondaily.com by Noah Edelman

BTW, here are a few GPTs worth checking out today:

  • ConvertAnything—convert images, audio, videos, PDFs, files, & more.
  • editGPT—edit any writing (like Grammarly inside ChatGPT).
  • Grimoire—a coding assistant that helps you build anything!

Some notes from Dan Fitzpatrick – The AI Educator:

Custom GPT Bots:

  • These could help with the creation of interactive learning assistants, aligned with curricula.
  • They can be easily created with natural language programming.
  • Important to note users must have a ChatGPT Plus paid account

Custom GPT Store:

  • Marketplace for sharing and accessing educational GPT tools created by other teachers.
  • A store could offer access to specialised tools for diverse learning needs.
  • A store could enhance teaching strategies when accessing proven, effective GPT applications.

From DSC:
I appreciate Dan’s potential menu of options for a child’s education:

Monday AM: Sports club
Monday PM: Synthesis Online School AI Tutor
Tuesday AM: Music Lesson
Tuesday PM: Synthesis Online School Group Work
Wednesday AM: Drama Rehearsal
Wednesday PM: Synthesis Online School AI Tutor
Thursday AM: Volunteer work
Thursday PM: Private study
Friday AM: Work experience
Friday PM: Work experience

Our daughter has special learning needs and this is very similar to what she is doing. 

Also, Dan has a couple of videos out here at Google for Education:

Tuesday’s AI Ten for Educators (November 14) — from stefanbauschard.substack.com by Stefan Bauschard
Ten AI developments for educators to be aware of

Two boxes. In my May Cottesmore presentation, I put up two boxes:

(a) Box 1 — How educators can use AI to do what they do now (lesson plans, quizzes, tests, vocabulary lists, etc.)

(b) Box 2 — How the education system needs to change because, in the near future (sort of already), everyone is going to have multiple AIs working with them all day, and the premium on intelligence, especially “knowledge-based” intelligence, is going to decline rapidly. It’s hard to think that significant changes in the education system won’t be needed to accommodate that change.

There is a lot of focus on preparing educators to work in Box 1, which is important, if for no other reason than that they can see the power of even the current but limited technologies, but the hard questions are starting to be about Box 2. I encourage you to start those conversations, as the “ed tech” companies already are, and they’ll be happy to provide the answers and the services if you don’t want to.

Practical suggestions: Two AI teams in your institution. Team 1 works on Box A and Team 2 works on Box B.

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Lawyers: What’s your “wow moment” with generative AI? [Ziniti] + other items within the legaltech realm

On 11/11/2023, in 21st century, Access to Justice (A2J), Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, future, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, by Daniel Christian

The legal world in 10 years (if we’re really lucky) — from jordanfurlong.substack.com by Jordan Furlong
Here are eight predictions for how the legal sector will be different and mostly better in 2033. If you have an alternative vision, there’s one sure way to prove me wrong.

What part are you going to play in determining the future? This isn’t a spectator sport or a video game. “The future” will be what you (and everyone else) make it by your decisions, commitments, sacrifices, and leadership — or, equally, by your inaction on all these fronts.

There’s a meme making the rounds that says, “People in time-travel movies are always afraid of committing one tiny action in the past, because it might completely change the present. But people in the present don’t seem to believe that committing one tiny action in the present could completely change the future.” I think that has it exactly right. The future we get is the future that you and I start making in the present, meaning today, right now.

Shadow AI: A Thorny Problem For Law Firms — from abovethelaw.com by Sharon D. Nelson, John W. Simek, and Michael C. Maschke
Its use is often unknown to a law firm’s IT or security group.

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“Colleges are wasting valuable time. They can’t keep AI out of the classroom.” [Gulya] + other items re: AI in our Learning Ecosystems

On 10/30/2023, in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business side of he, change, colleges, community colleges, education technology, emerging technologies, expectations, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, higher education, innovation, instructional design, intelligent systems, law schools, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, personalized/customized learning, platforms, strategy, student-related, teachers, technology (general), tools, United States, universities, writing, by Daniel Christian

Teaching writing in the age of AI — from the Future of Learning (a Hechinger Report newsletter) by Javeria Salman

ChatGPT can produce a perfectly serviceable writing “product,” she said. But writing isn’t a product per se — it’s a tool for thinking, for organizing ideas, she said.

“ChatGPT and other text-based tools can’t think for us,” she said. “There’s still things to learn when it comes to writing because writing is a form of figuring out what you think.”

When students could contrast their own writing to ChatGPT’s more generic version, Levine said, they were able to “understand what their own voice is and what it does.”

Grammarly’s new generative AI feature learns your style — and applies it to any text — from techcrunch.com by Kyle Wiggers; via Tom Barrett

But what about text? Should — and if so, how should — writers be recognized and remunerated for AI-generated works that mimic their voices?

Those are questions that are likely to be raised by a feature in Grammarly, the cloud-based typing assistant, that’s scheduled to launch by the end of the year for subscribers to Grammarly’s business tier. Called “Personalized voice detection and application,” the feature automatically detects a person’s unique writing style and creates a “voice profile” that can rewrite any text in the person’s style.

Is AI Quietly Weaving the Fabric of a Global Classroom Renaissance? — from medium.com by Robert the Robot
In a world constantly buzzing with innovation, a silent revolution is unfolding within the sanctuaries of learning—our classrooms.

From bustling metropolises to serene hamlets, schools across the globe are greeting a new companion—Artificial Intelligence (AI). This companion promises to redefine the essence of education, making learning a journey tailored to each child’s unique abilities.

The advent of AI in education is akin to a gentle breeze, subtly transforming the academic landscape. Picture a classroom where each child, with their distinct capabilities and pace, embarks on a personalized learning path. AI morphs this vision into reality, crafting a personalized educational landscape that celebrates the unique potential harbored within every learner.

AI Books for Educators — from aiadvisoryboards.wordpress.com by Barbara Anna Zielonka

Books have always held a special place in my heart. As an avid reader and AI enthusiast, I have curated a list of books on artificial intelligence specifically tailored for educators. These books delve into the realms of AI, exploring its applications, ethical considerations, and its impact on education. Share your suggestions and let me know which books you would like to see included on this list.

SAIL: ELAI recordings, AI Safety, Near term AI/learning — by George Siemens

We held our fourth online Empowering Learners for the Age of AI conference last week. We sold out at 1500 people (a Whova and budget limit). The recordings/playlist from the conference can now be accessed here.

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“60+ Ideas for ChatGPT Assignments” [Various], “Introducing Canva’s biggest education launch” + several other items re: AI

On 10/24/2023, in adjunct faculty, Africa, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, education, education technology, emerging technologies, faculty, future, future of higher education, Google, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, Natural Language Processing (NLP), open courseware and systems, platforms, productivity / tips and tricks, society, teachers, teaching & learning, the downsides of how people use tech, tools, United States, universities, vendors, voice recognition / voice enabled interfaces, by Daniel Christian

60+ Ideas for ChatGPT Assignments — from stars.library.ucf.edu by Kevin Yee, Kirby Whittington, Erin Doggette, and Laurie Uttich

60+ ideas for using ChatGPT in your assignments today

Artificial intelligence is disrupting higher education — from itweb.co.za by Rennie Naidoo; via GSV
Traditional contact universities need to adapt faster and find creative ways of exploring and exploiting AI, or lose their dominant position.

Higher education professionals have a responsibility to shape AI as a force for good.

Introducing Canva’s biggest education launch — from canva.com
We’re thrilled to unveil our biggest education product launch ever. Today, we’re introducing a whole new suite of products that turn Canva into the all-in-one classroom tool educators have been waiting for.

Also see Canva for Education.
Create and personalize lesson plans, infographics,
posters, video, and more. 100% free for
teachers and students at eligible schools.

ChatGPT and generative AI: 25 applications to support student engagement — from timeshighereducation.com by Seb Dianati and Suman Laudari
In the fourth part of their series looking at 100 ways to use ChatGPT in higher education, Seb Dianati and Suman Laudari share 25 prompts for the AI tool to boost student engagement

There are two ways to use ChatGPT — from theneurondaily.com

  1. Type to it.
  2. Talk to it (new).

…
Since then, we’ve looked to it for a variety of real-world business advice. For example, Prof Ethan Mollick posted a great guide using ChatGPT-4 with voice as a negotiation instructor.

In a similar fashion, you can consult ChatGPT with voice for feedback on:

  • Job interviews.
  • Team meetings.
  • Business presentations.

Via The Rundown: Google is using AI to analyze the company’s Maps data and suggest adjustments to traffic light timing — aiming to cut driver waits, stops, and emissions.

Google Pixel’s face-altering photo tool sparks AI manipulation debate — from bbc.com by Darren Waters

The camera never lies. Except, of course, it does – and seemingly more often with each passing day.
In the age of the smartphone, digital edits on the fly to improve photos have become commonplace, from boosting colours to tweaking light levels.

Now, a new breed of smartphone tools powered by artificial intelligence (AI) are adding to the debate about what it means to photograph reality.

Google’s latest smartphones released last week, the Pixel 8 and Pixel 8 Pro, go a step further than devices from other companies. They are using AI to help alter people’s expressions in photographs.

From Digital Native to AI-Empowered: Learning in the Age of Artificial Intelligence — from campustechnology.com by Kim Round
The upcoming generation of learners will enter higher education empowered by AI. How can institutions best serve these learners and prepare them for the workplace of the future?

Dr. Chris Dede, of Harvard University and Co-PI of the National AI Institute for Adult Learning and Online Education, spoke about the differences between knowledge and wisdom in AI-human interactions in a keynote address at the 2022 Empowering Learners for the Age of AI conference. He drew a parallel between Star Trek: The Next Generation characters Data and Picard during complex problem-solving: While Data offers the knowledge and information, Captain Picard offers the wisdom and context from on a leadership mantle, and determines its relevance, timing, and application.

The Near-term Impact of Generative AI on Education, in One Sentence — from opencontent.org by David Wiley

This “decreasing obstacles” framing turned out to be helpful in thinking about generative AI. When the time came, my answer to the panel question, “how would you summarize the impact generative AI is going to have on education?” was this:

“Generative AI greatly reduces the degree to which access to expertise is an obstacle to education.”

We haven’t even started to unpack the implications of this notion yet, but hopefully just naming it will give the conversation focus, give people something to disagree with, and help the conversation progress more quickly.

How to Make an AI-Generated Film — from heatherbcooper.substack.com by Heather Cooper
Plus, Midjourney finally has a new upscale tool!

Eureka! NVIDIA Research Breakthrough Puts New Spin on Robot Learning — from blogs.nvidia.com by Angie Lee
AI agent uses LLMs to automatically generate reward algorithms to train robots to accomplish complex tasks.

From DSC:
I’m not excited about this, as I can’t help but wonder…how long before the militaries of the world introduce this into their warfare schemes and strategies?

The 93 Questions Schools Should Ask About AI — from edweek.org by Alyson Klein

The toolkit recommends schools consider:

  • Purpose: How can AI help achieve educational goals?
  • Compliance: How does AI fit with existing policies?
  • Knowledge: How can schools advance AI Literacy?
  • Balance: What are the benefits and risks of AI?
  • Integrity: How does AI fit into policies on things like cheating?
  • Agency: How can humans stay in the loop on AI?
  • Evaluation: How can schools regularly assess the impact of AI?
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How might you alter your teaching if in 5 years you knew: [Stefan Bauschard]

On 10/24/2023, in adjunct faculty, change, colleges, community colleges, expectations, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, higher education, homeschooling/homeschoolers, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, liberal arts, online learning, pedagogy, student teaching/teacher education, student-related, teachers, teaching & learning, trends, United States, universities, by Daniel Christian

From DSC:
Interesting fodder for thought, for sure. Thanks Stefan.

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An interesting item: “What does the future of education LOOK like? Diverse students receive instruction from robots in an online classroom that mimics the current structure of education. [Bauschard]

On 10/18/2023, in digital learning, education, education technology, emerging technologies, engagement / engaging students, experimentation, future, K-12 related, by Daniel Christian

What does the future of education LOOK like? — from stefanbauschard.substack.com by Stefen Bauschard
Diverse students receive instruction from robots in an online classroom that mimics the current structure of education.

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The Learning & Employment Records (LER) Ecosystem Map

On 10/15/2023, in Bias | Diversity Equity & Inclusion (DE&I), business, career development, corporate / business world, corporate universities / corporate training, credentialing, Daniel S. Christian, future, future of higher education, higher education, ideas, innovation, instructional design, learner profiles, learning ecosystem, Learning from the Living [Class] Room, tools, training / L&D, vendors, vision/possibilities, workplace, by Daniel Christian

The Learning & Employment Records (LER) Ecosystem Map — with thanks to Melanie Booth on LinkedIn for this resource
Driving Opportunity and Equity Through Learning & Employment Records

The Learning & Employment Records (LER) Ecosystem Map

Imagine A World Where…

  • Everyone is empowered to access learning and earning opportunities based on what they know and can do, whether those skills and abilities are obtained through degrees, work experiences, or independent learning.
  • People can capture and communicate the skills and competencies they’ve acquired across their entire learning journey — from education, experience and service — with more ease, confidence, and clarity than a traditional resume.
  • Learners and earners control their information and can curate their skills to take advantage of every opportunity they are truly qualified to pursue, opening up pathways that help address systemic inequities.
  • Employers can tap into a wider talent pool and better match applicants to opportunities with verifiable credentials that represent skills, competencies, and achievements.

This is the world that we believe can be created by Learning and Employment Records (LERs), i.e. digital records of learning and work experiences that are linked to and controlled by learners and earners. An interoperable, well-governed LER ecosystem has the potential to transform the future of work so that it is more equitable, efficient, and effective for everyone involved— individuals, training and education providers, employers, and policymakers.

Also per Melanie Booth, see:

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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 / Machine Learning / Deep Learning / Algorithms, 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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“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 / Machine Learning / Deep Learning / Algorithms, 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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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 / Machine Learning / Deep Learning / Algorithms, 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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Four Scenarios for the Future of Legal Education [Kennedy]

On 09/29/2023, in Alternatives, blended learning, face-to-face, future, higher education, hybrid learning, ideas, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, Michigan, United States, universities, by Daniel Christian

Four Scenarios for the Future of Legal Education — from denniskennedy.com by Dennis Kennedy

Scenario 1: Fully Digitalized Law School
Scenario 2: Blended Law School Experience
Scenario 3: Specialized Legal Education
Scenario 4: Decentralized Legal Education

In the decentralized legal education scenario, the traditional model of law schools is disrupted by the emergence of alternative education platforms and micro-credentialing. The concept of a law degree is replaced by a more flexible and personalized approach to legal education. Students can choose from an array of legal courses offered by various providers, including universities, law firms, online platforms, and even government agencies.

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