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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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MIT Technology Review — Big problems that demand bigger energy.

On 11/14/2023, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, computer science, emerging technologies, platforms, policy, political science, skills, society, sociology, technology (general), vision/possibilities, by Daniel Christian

MIT Technology Review — Big problems that demand bigger energy. — from technologyreview.com by various

Technology is all about solving big thorny problems. Yet one of the hardest things about solving hard problems is knowing where to focus our efforts. There are so many urgent issues facing the world. Where should we even begin? So we asked dozens of people to identify what problem at the intersection of technology and society that they think we should focus more of our energy on. We queried scientists, journalists, politicians, entrepreneurs, activists, and CEOs.

Some broad themes emerged: the climate crisis, global health, creating a just and equitable society, and AI all came up frequently. There were plenty of outliers, too, ranging from regulating social media to fighting corruption.

MIT Technology Review interviews many people to weigh in on the underserved issues at the intersections of technology and society.

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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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“13 Nuggets of AI Wisdom for Higher Education Leaders” [Klitgaard Stricker] + other AI-related items for our learning ecosystems

On 11/10/2023, in 21st century, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, corporate / business world, corporate universities / corporate training, education, education reform, education technology, emerging technologies, experimentation, faculty, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, liberal arts, library / librarians, lifelong learning, Microsoft, platforms, teaching & learning, trends, universities, by Daniel Christian

A future-facing minister, a young inventor and a shared vision: An AI tutor for every student — from news.microsoft.com by Chris Welsch

The Ministry of Education and Pativada see what has become known as the U.A.E. AI Tutor as a way to provide students with 24/7 assistance as well as help level the playing field for those families who cannot afford a private tutor. At the same time, the AI Tutor would be an aid to teachers, they say. “We see it as a tool that will support our teachers,” says Aljughaiman. “This is a supplement to classroom learning.”

If everything goes according to plan, every student in the United Arab Emirates’ school system will have a personal AI tutor – that fits in their pockets.

It’s a story that involves an element of coincidence, a forward-looking education minister and a tech team led by a chief executive officer who still lives at home with his parents.

In February 2023, the U.A.E.’s education minister, His Excellency Dr. Ahmad Belhoul Al Falasi, announced that the ministry was embracing AI technology and pursuing the idea of an AI tutor to help Emirati students succeed. And he also announced that the speech he presented had been written by ChatGPT. “We should not demonize AI,” he said at the time.

Fostering deep learning in humans and amplifying our intelligence in an AI World — from stefanbauschard.substack.com by Stefan Bauschard
A free 288-page report on advancements in AI and related technology, their effects on education, and our practical support for AI-amplified human deep learning

Six weeks ago, Dr. Sabba Quidwai and I accidentally stumbled upon an idea to compare the deep learning revolution in computer science to the mostly lacking deep learning efforts in education (Mehta & Fine). I started writing, and as these things often go with me, I thought there were many other things that would be useful to think through and for educators to know, and we ended up with this 288-page report.

***

Here’s an abstract from that report:

This report looks at the growing gap between the attention paid to the development of intelligence in machines and humans. While computer scientists have made great strides in developing human intelligence capacities in machines using deep learning technologies, including the abilities of machines to learn on their own, a significant part of the education system has not kept up with developing the intelligence capabilities in people that will enable them to succeed in the 21st century. Instead of fully embracing pedagogical methods that place primary emphasis on promoting collaboration, critical thinking, communication, creativity, and self-learning through experiential, interdisciplinary approaches grounded in human deep learning and combined with current technologies, a substantial portion of the educational system continues to heavily rely on traditional instructional methods and goals. These methods and goals prioritize knowledge acquisition and organization, areas in which machines already perform substantially better than people.

Also from Stefan Bauschard, see:

  • Debating in the World of AI
    Performative assessment, learning to collaborate with humans and machines, and developing special human qualities

13 Nuggets of AI Wisdom for Higher Education Leaders — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
Actionable AI Guidance for Higher Education Leaders

Incentivize faculty AI innovation with AI. 

Invest in people first, then technology. 

On teaching, learning, and assessment. AI has captured the attention of all institutional stakeholders. Capitalize to reimagine pedagogy and evaluation. Rethink lectures, examinations, and assignments to align with workforce needs. Consider incorporating Problem-Based Learning, building portfolios and proof of work, and conducting oral exams. And use AI to provide individualized support and assess real-world skills.

Actively engage students.

Some thoughts from George Siemens re: AI:

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

Our education system has a uni-dimensional focus: learning things. Of course, we say we care about developing the whole learner, but the metrics that matter (grade, transcripts) that underpin the education system are largely focused on teaching students things that have long been Google-able but are now increasingly doable by AI. Developments in AI matters in ways that calls into question large parts of what happens in our universities. This is not a statement that people don’t need to learn core concepts and skills. My point is that the fulcrum of learning has shifted. Knowing things will continue to matter less and less going forward as AI improves its capabilities. We’ll need to start intentionally developing broader and broader attributes of learners: metacognition, wellness, affect, social engagement, etc. Education will continue to shift toward human skills and away from primary assessment of knowledge gains disconnected from skills and practice and ways of being.

AI, the Next Chapter for College Librarians — from insidehighered.com by Lauren Coffey
Librarians have lived through the disruptions of fax machines, websites and Wikipedia, and now they are bracing to do it again as artificial intelligence tools go mainstream: “Maybe it’s our time to shine.”

A few months after ChatGPT launched last fall, faculty and students at Northwestern University had many questions about the building wave of new artificial intelligence tools. So they turned to a familiar source of help: the library.

“At the time it was seen as a research and citation problem, so that led them to us,” said Michelle Guittar, head of instruction and curriculum support at Northwestern University Libraries.

In response, Guittar, along with librarian Jeanette Moss, created a landing page in April, “Using AI Tools in Your Research.” At the time, the university itself had yet to put together a comprehensive resource page.

From Dr. Nick Jackson’s recent post on LinkedIn: 

Last night the Digitech team of junior and senior teachers from Scotch College Adelaide showcased their 2023 experiments, innovation, successes and failures with technology in education. Accompanied by Student digital leaders, we saw the following:

  •  AI used for languagelearning where avatars can help with accents
  • Motioncapture suits being used in mediastudies
  • AI used in assessment and automatic grading of work
  • AR used in designtechnology
  • VR used for immersive Junior school experiences
  • A teacher’s AI toolkit that has changed teaching practice and workflow
  • AR and the EyeJack app used by students to create dynamic art work
  • VR use in careers education in Senior school
  • How ethics around AI is taught to Junior school students from Year 1
  • Experiments with MyStudyWorks

Almost an Agent: What GPTs can do — from oneusefulthing.org by Ethan Mollick

What would a real AI agent look like? A simple agent that writes academic papers would, after being given a dataset and a field of study, read about how to compose a good paper, analyze the data, conduct a literature review, generate hypotheses, test them, and then write up the results, all without intervention. You put in a request, you get a Word document that contains a draft of an academic paper.

A process kind of like this one:

What I Learned From an Experiment to Apply Generative AI to My Data Course — from edsurge.com by Wendy Castillo

As an educator, I have a duty to remain informed about the latest developments in generative AI, not only to ensure learning is happening, but to stay on top of what tools exist, what benefits and limitations they have, and most importantly, how students might be using them.

However, it’s also important to acknowledge that the quality of work produced by students now requires higher expectations and potential adjustments to grading practices. The baseline is no longer zero, it is AI. And the upper limit of what humans can achieve with these new capabilities remains an unknown frontier.

Artificial Intelligence in Higher Education: Trick or Treat? — from tytonpartners.com by Kristen Fox and Catherine Shaw
.

Two components of AI -- generative AI and predictive AI

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Two items from the Teaching newsletter out at the Chronicle of Higher Education

On 11/10/2023, in 21st century, adjunct faculty, change, changing business models, collaboration, colleges, communities of practice, community colleges, digital audio, digital learning, digital video, distance education, education technology, engagement / engaging students, experimentation, faculty, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), innovation, instructional design, internet, IT in HE, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, liberal arts, multimedia, new business models, new media literacies, online learning, online media, online tutoring, platforms, teaching & learning, teaching online, technologies for your home, telecommunications, tools, United States, universities, vendors, videoconferencing, by Daniel Christian

What happens to teaching after Covid? — from chronicle.com by Beth McMurtrie

It’s an era many instructors would like to put behind them: black boxes on Zoom screens, muffled discussions behind masks, students struggling to stay engaged. But how much more challenging would teaching during the pandemic have been if colleges did not have experts on staff to help with the transition? On many campuses, teaching-center directors, instructional designers, educational technologists, and others worked alongside professors to explore learning-management systems, master video technology, and rethink what and how they teach.

A new book out this month, Higher Education Beyond Covid: New Teaching Paradigms and Promise, explores this period through the stories of campus teaching and learning centers. Their experiences reflect successes and failures, and what higher education could learn as it plans for the future.

Beth also mentioned/link to:

How to hold difficult discussions online — from chronicle.com by Beckie Supiano

As usual, our readers were full of suggestions. Kathryn Schild, the lead instructional designer in faculty development and instructional support at the University of Alaska at Anchorage, shared a guide she’s compiled on holding asynchronous discussions, which includes a section on difficult topics.

In an email, Schild also pulled out a few ideas she thought were particularly relevant to Le’s question, including:

  • Set the ground rules as a class. One way to do this is to share your draft rules in a collaborative document and ask students to annotate it and add suggestions.
  • Plan to hold fewer difficult discussions than in a face-to-face class, and work on quality over quantity. This could include multiweek discussions, where you spiral through the same issue with fresh perspectives as the class learns new approaches.
  • Start with relationship-building interactions in the first few weeks, such as introductions, low-stakes group assignments, or peer feedback, etc.
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Massive innovations coming from OpenAI this week; + other items re: AI in general

On 11/08/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, career development, changing business models, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, emerging technologies, platforms, productivity / tips and tricks, programming, society, tools, trends, United States, vendors, web design and production, by Daniel Christian

New models and developer products announced at DevDay — from openai.com
GPT-4 Turbo with 128K context and lower prices, the new Assistants API, GPT-4 Turbo with Vision, DALL·E 3 API, and more.

Today, we shared dozens of new additions and improvements, and reduced pricing across many parts of our platform. These include:

  • New GPT-4 Turbo model that is more capable, cheaper and supports a 128K context window
  • New Assistants API that makes it easier for developers to build their own assistive AI apps that have goals and can call models and tools
  • New multimodal capabilities in the platform, including vision, image creation (DALL·E 3), and text-to-speech (TTS)

Introducing GPTs — from openai.com
You can now create custom versions of ChatGPT that combine instructions, extra knowledge, and any combination of skills.

OpenAI’s New Groundbreaking Update — from newsletter.thedailybite.co
Everything you need to know about OpenAI’s update, what people are building, and a prompt to skim long YouTube videos…

But among all this exciting news, the announcement of user-created “GPTs” took the cake.

That’s right, your very own personalized version of ChatGPT is coming, and it’s as groundbreaking as it sounds.

OpenAI’s groundbreaking announcement isn’t just a new feature – it’s a personal AI revolution. 

The upcoming customizable “GPTs” transform ChatGPT from a one-size-fits-all to a one-of-a-kind digital sidekick that is attuned to your life’s rhythm. 

Lore Issue #56: Biggest Week in AI This Year — from news.lore.com by Nathan Lands

First, Elon Musk announced “Grok,” a ChatGPT competitor inspired by “The Hitchhiker’s Guide to the Galaxy.” Surprisingly, in just a few months, xAI has managed to surpass the capabilities of GPT-3.5, signaling their impressive speed of execution and establishing them as a formidable long-term contender.

Then, OpenAI hosted their inaugural Dev Day, unveiling “GPT-4 Turbo,” which boasts a 128k context window, API costs slashed by threefold, text-to-speech capabilities, auto-model switching, agents, and even their version of an app store slated for launch next month.

The Day That Changed Everything — from joinsuperhuman.ai by Zain Kahn
ALSO: Everything you need to know about yesterday’s OpenAI announcements

  • OpenAI DevDay Part I: Custom ChatGPTs and the App Store of AI
  • OpenAI DevDay Part II: GPT-4 Turbo, Assistants, APIs, and more

OpenAI’s Big Reveal: Custom GPTs, GPT Store & More — from  news.theaiexchange.com
What you should know about the new announcements; how to get started with building custom GPTs

Incredible pace of OpenAI — from theaivalley.com by Barsee
PLUS: Elon’s Gork

 

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Florida bar weighs whether lawyers using AI need client consent [Sloan]

On 10/24/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, law schools, Legal operations, legislatures / government / legal, research, by Daniel Christian

Florida bar weighs whether lawyers using AI need client consent — from reuters.com by Karen Sloan; via Brainyacts

Oct 16 (Reuters) – Florida lawyers might soon be required to get their client’s consent before using artificial intelligence on their legal matters.

The Florida Bar is crafting a new advisory opinion focused on the use of AI and has asked Florida lawyers to weigh in. Florida bar leaders have tasked the Florida Board Review Committee on Professional Ethics with creating rules around the use of generative AI, such as OpenAI’s ChatGPT, Google Bard or Microsoft’s Bing.

On a somewhat related note, also 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 technology, 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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Re: upcoming “feature” from Microsoft: Trust is already a fragile thing. Are we sure we want this?! [Christian]

On 10/11/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, cloud-based computing / apps / other cloud-related, colleges, communications, community colleges, computer science, content development, aggregation, repositories, corporate / business world, Daniel S. Christian, education technology, emerging technologies, faculty, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, languages and translation, learning ecosystem, Microsoft, productivity / tips and tricks, programming, society, the downsides of technology, tools, trends, United States, universities, workplace, writing, by Daniel Christian

Next month Microsoft Corp. will start making its artificial intelligence features for Office widely available to corporate customers. Soon after, that will include the ability for it to read your emails, learn your writing style and compose messages on your behalf.

From DSC:
As readers of this blog know, I’m generally pro-technology. I see most technologies as tools — which can be used for good or for ill. So I will post items both pro and con concerning AI.

But outsourcing email communications to AI isn’t on my wish list or to-do list.

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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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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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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 / Machine Learning / Deep Learning / Algorithms, 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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