Learning Ecosystems

From the military to the workforce: How to leverage veterans’ skills [mckinsey.com]

On 11/11/2023, in business, career development, change, corporate / business world, skills, United States, vendors, workplace, by Daniel Christian

From the military to the workforce: How to leverage veterans’ skills — from mckinsey.com
Traditional ways of hiring make it harder for many service members to land civilian jobs. A new approach could help veterans transition to the workforce—and add $15 billion to the US economy.

This is where military veterans can make a difference. Veterans represent a source of labor potential that is untapped relative to the breadth of experience and depth of skills that they acquire and develop during their service. Members of the military receive technical training, operate under pressure in austere environments, and develop strong interpersonal skills throughout their service, making them well qualified for numerous civilian occupations. While not every military role is directly transferrable to a civilian job, most skills are—including those that correspond to US industries experiencing labor shortages, such as infrastructure and manufacturing.

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/Agents/LLMs/and Related, future, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, by Daniel Christian

? @innovatelawnow has launched a lab!

The Vanderbilt AI + Law Lab VAILL works at the intersection of AI, legal education, law practice and access to justice.

My founding co-director @markjwill and I can’t wait to get to work. ?https://t.co/mjr0CKkUEm

— Cat Moon (@inspiredcat) November 2, 2023

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.

Building a Consumer-Centered Legal Market: Takeaways from IAALS’ Convening on Regulatory Reform [Bednarz]

On 11/11/2023, in Access to Justice (A2J), innovation, law schools, leadership, Legal operations, legal reform, legal technologies, legislatures / government / legal, society, United States, by Daniel Christian

Building a Consumer-Centered Legal Market: Takeaways from IAALS’ Convening on Regulatory Reform — from iaals.du.edu by Jessica Bednarz

Two initial high-level takeaways from the convening include:

Every state effort is different for a reason. There are many factors that leaders must consider when determining which model(s) of regulatory reform to pursue and how. Some examples of factors to consider include whether the state is a mandatory or voluntary bar state, whether the supreme court justices in the state are appointed or elected, and whether the model(s) to be pursued is market-based or free to consumers. The answers to these questions will likely dictate which stakeholders will likely be allies, which stakeholders will likely be opposed, and which strategy and approach to pursue.
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We need to better engage the public in regulatory reform efforts. While some organizations and efforts have included public engagement from the outset, (shout-outs to Innovation for Justice and Arizona more generally, as well as Alaska Legal Services Corporation and Frontline Justice), most have not, and this has likely hindered efforts to some degree. The data we have thus far indicates the public is interested in obtaining legal services from alternative service providers such as allied legal professionals and community justice workers, as well as through alternative business models. The more we can engage the public in this conversation, the better chance we have of creating regulatory reform that is aligned with their needs and the better chance leaders have of getting their respective efforts over the finish line.
- Because this is an area within the regulatory reform space that is ripe for further development and impact, IAALS will soon be launching a project on consumer engagement. Stay tuned for more updates!

IAALS will share a more comprehensive list of lessons learned and recommendations for building and sustaining regulatory reform in its post-convening report, currently set to be released in early 2024.

Universities Can’t Accommodate All the Computer Science Majors [Alonso]

On 11/11/2023, in colleges, community colleges, computer science, faculty/staff, higher education, Michigan, United States, universities, by Daniel Christian

Universities Can’t Accommodate All the Computer Science Majors — from insidehighered.com by Johanna Alonso
High interest in the field has led to overcrowded classes and other issues. Now some institutions are adding requirements to help force students out of the major.

Before this year, if you wanted to major in computer science at the University of Michigan, your only barrier was getting accepted to the university.

But a new model requires all students who want to study computer science—whether they are incoming or already enrolled—to apply for the major separately.

Michael Wellman, Michigan’s chair of computer science and engineering, said that the university has worked for years to try to accommodate everyone who wants to study the subject, hiring as many as six faculty members annually in recent years and even building a new computer science facility. The number of CS degrees awarded rose from 132 in 2012 to 600 in 2022.

Learning Corporate Learning — Newsletter #70 [Arenaza & Narea]

On 11/11/2023, in business, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, learning ecosystem, simulations, tools, training / L&D, vendors, workplace, by Daniel Christian

Learning Corporate Learning — Newsletter #70 — from transcend.substack.com by Alberto Arenaza and Michael Narea
A deep-dive into the corporate learning-edtech market for startups

The Transcend Newsletter explores the intersection of the future of education and the future [of] work, and the founders building it around the world.

Lastly, we look at four product categories within L&D:

Content: libraries of learning content covering a wide range of topics (Coursera & Udemy for Business, Pluralsight, Skillsoft). Live classes are increasingly a part of this category, like Electives, Section or NewCampus.
Upskilling: programs focused on learning new skills (upskilling) or relocation of talent within the company (reskilling), both being more intensive than just content (Multiverse, Guild).
Coaching: support from coaches, mentors or even peers for employees’ learning (BetterUp, CoachHub, Torch).
Simulations: a new wave of scalable learning experiences that creates practice scenarios for employees (Strivr, SimSkills)

A simple mindset shift to help empower student ownership of learning: https://t.co/Hz30Tjiepu

— edutopia (@edutopia) November 5, 2023

When schools and families go to court over special education, everyone loses — from wfyi.org by Lee Gaines

While federal law mandates public schools provide an appropriate education to students with disabilities, it’s often up to parents to enforce it.

Schwarten did what few people have the resources to do: she hired a lawyer and requested a due process hearing. It’s like a court case. And it’s intended to resolve disputes between families and schools over special education services.

It’s also a traumatic and adversarial process for families and schools that can rack up hundreds of thousands of dollars in legal fees and destroy relationships between parents and district employees. And even when families win, children don’t always get the public education they deserve.

Future of Learning: Native American students have the least access to computer science — from The Hechinger Report by Javeria Salman

But computer science lessons like the ones at Dzantik’i Heeni Middle School are relatively rare. Despite calls from major employers and education leaders to expand K-12 computer science instruction in response to the workforce’s increasing reliance on digital technology, access to the subject remains low — particularly for Native American students.

Only 67 percent of Native American students attend a school that offers a computer science course, the lowest percentage of any demographic group, according to a new study from the nonprofit Code.org. A recent report from the Kapor Foundation and the American Indian Science and Engineering Society, or AISES, takes a deep look at why Native students’ access to computer and technology courses in K-12 is so low, and examines the consequences.

The Case for Andragogy in Educator Development — from Dialogic #341 by Tom Barrett

Understanding the Disconnect
We often find ourselves in professional development sessions that starkly contrast with the interactive and student-centred learning environments we create. We sit as passive recipients rather than active participants, receiving generic content that seldom addresses our unique experiences or teaching challenges.

This common scenario highlights a significant gap in professional development: the failure to apply the principles of adult learning, or andragogy, which acknowledges that educators, like their students, benefit from a learning process that is personalised, engaging, and relevant.

The irony is palpable — while we foster environments of inquiry and engagement in our classrooms, our learning experiences often lack these elements.

The disconnect prompts a vital question: If we are to cultivate a culture of lifelong learning among our students, shouldn’t we also embody this within our professional growth? It’s time for the professional development of educators to reflect the principles we hold dear in our teaching practices.

Why Kindness at Work Pays Off [Swinand]

On 11/11/2023, in business, collaboration, communications, communities of practice, corporate / business world, Emotion, engagement / engaging students, ethics, hearts -- matters of the heart, ideas, marketplaces, morals/values, productivity / tips and tricks, relationships, society, vendors, vocational / trades, workplace, by Daniel Christian

Why Kindness at Work Pays Off — from hbr.org by Andrew Swinand; via Roberto Ferraro

Summary:
Whether you’re just entering the workforce, starting a new job, or transitioning into people management, kindness can be a valuable attribute that speaks volumes about your character, commitment, and long-term value. Here are a few simple routines you can integrate into your everyday work life that will spread kindness and help create a culture of kindness at your organization.

Practice radical self-care. The best way to be a valuable, thoughtful team member is to be disciplined about your own wellness — your physical, emotional, and mental well-being.
Do your job. Start with the basics by showing up on time and doing your job to the best of your ability. This is where your self-care practice comes into play — you can’t do your best work without taking care of yourself first.
Reach out to others with intention. Make plans to meet virtually or, even better, in person with your colleagues. Ask about their pets, their recent move, or their family. Most importantly, practice active listening.
Recognize and acknowledge people. Authentic, thoughtful interactions show that you’re thinking about the other person and reflecting on their unique attributes and value, which can cement social connections.
Be conscientious with your feedback. Being kind means offering feedback for the betterment of the person receiving it and the overall success of your company.

“When anxiety is high and morale is low, kindness isn’t a luxury — it’s a necessity. With mass layoffs, economic uncertainty, and geopolitical tensions, kindness is needed now more than ever, especially at work.”

From DSC:
The following item from The Washington Post made me ask, “Do we give students any/enough training on email etiquette? On effective ways to use LinkedIn, Twitter/X, messaging, other?”

You’re emailing wrong at work. Follow this etiquette guide. — from washingtonpost.com by Danielle Abril
Get the most out of your work email and avoid being a jerk with these etiquette tips for the modern workplace

Most situations depend on the workplace culture. Still, there are some basic rules. Three email and business experts gave us tips for good email etiquette so you can avoid being the jerk at work.

Consider not sending an email
Keep it short and clear
Make it easy to read
Don’t blow up the inbox
…and more

From DSC:
I would add to use bolding, color, italics, etc. to highlight and help structure the email’s key points and sections.

“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/Agents/LLMs/and Related, colleges, community colleges, corporate / business world, corporate universities / corporate training, education, education reform, education technology, emerging technologies, experimentation, faculty/staff, 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
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A Photo Preservationist Saved a Trove of 4,000 Glass Plate Negatives That Nearly Went Into the Trash [Cappucci & Mothes]

On 11/10/2023, in history, photography, United States, by Daniel Christian

A Photo Preservationist Saved a Trove of 4,000 Glass Plate Negatives That Nearly Went Into the Trash — from thisiscolossal.com by Kate Mothes and Terri Cappucci

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/staff, 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:

Centers for Teaching and Learning: The New Landscape in Higher Education by Mary C. Wright

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.

Innovative growers: A view from the top [Banholzer, Doherty, Morris, & Schwaitzberg]

On 11/10/2023, in business, colleges, community colleges, corporate / business world, culture, higher education, innovation, United States, universities, vendors, vision/possibilities, by Daniel Christian

Innovative growers: A view from the top — from mckinsey.com by Matt Banholzer, Rebecca Doherty, Alex Morris, and Scott Schwaitzberg
McKinsey research shows that a focus on aspiration, activation, and execution can help companies out-innovate and outgrow peers.

To find out, we identified and analyzed about 650 of the largest public companies that achieved profitable growth relative to their industry between 2016 and 2021 while also excelling in the essential capabilities associated with innovation.3 Some of these companies outgrew their peers, others were more innovative than competitors, but 53 companies managed to do both. The 50-plus “innovative growers,” as we call them, are a diverse group, spread across four continents and ten industries. They include renowned brands with a trillion-dollar market capitalization as well as smaller companies that are just starting to make a name for themselves, some as young as three years old (see sidebar, “Where do innovative growers come from?”).

For all their diversity, these companies consistently excel in both growth and innovation—and they share a number of best practices that other companies can learn from.

Do innovative growers perform better than others?

In a word, yes.

From DSC:
I’m adding higher ed to the categories of this posting, as we need to establish more CULTURES of innovation out there. But this is not easy to do, as those of us who have tried to swim upstream know.

Also see:

The eight essentials of innovation — from mckinsey.com by

Some wisdom for our week

On 11/09/2023, in faith, global / globalization, hearts -- matters of the heart, relationships, religion, society, youth, by Daniel Christian

Exodus 23:6

“Do not deny justice to your poor people in their lawsuits.

Isaiah 1:18

“Come now, let us settle the matter,” says the Lord. “Though your sins are like scarlet, they shall be as white as snow; though they are red as crimson, they shall be like wool.

Proverbs 26:12

Do you see a person wise in their own eyes? There is more hope for a fool than for them.

Psalms 119:108

Accept, LORD, the willing praise of my mouth, and teach me your laws.

Psalm 119:105

Your word is a lamp for my feet, a light on my path.

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.

I’m genuinely blown away by this.

The leap from text descriptions straight to 3D models? It’s next-level.

Think about the possibility: a stream of prompts turns into a treasure trove of 3D pieces. Gather them, and you’ve got a full scene ready to come to life.

The thought… pic.twitter.com/x79WEeY1iq

— Linus (???) (@LinusEkenstam) November 8, 2023

It’s only been 11 hours since OpenAI Dev Day

Here are 12 of the craziest things people have already built already

Including AI Sports narrator and website roaster.

? Thread below

— Linus (???) (@LinusEkenstam) November 7, 2023

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

? OpenAI just dropped a HUGE update.

This is the biggest update since the launch of GPT-4.

Here are 9 things you need to know (with use cases): ? pic.twitter.com/Kc2nD6HNFm

— Barsee ? (@heyBarsee) November 7, 2023