business

From DSC:
Great…we have another tool called Canvas. Or did you say Canva?

Introducing canvas — from OpenAI
A new way of working with ChatGPT to write and code

We’re introducing canvas, a new interface for working with ChatGPT on writing and coding projects that go beyond simple chat. Canvas opens in a separate window, allowing you and ChatGPT to collaborate on a project. This early beta introduces a new way of working together—not just through conversation, but by creating and refining ideas side by side.

Canvas was built with GPT-4o and can be manually selected in the model picker while in beta. Starting today we’re rolling out canvas to ChatGPT Plus and Team users globally. Enterprise and Edu users will get access next week. We also plan to make canvas available to all ChatGPT Free users when it’s out of beta.

Using AI to buy your home? These companies think it’s time you should — from usatoday.com by Andrea Riquier

The way Americans buy homes is changing dramatically.

New industry rules about how home buyers’ real estate agents get paid are prompting a reckoning among housing experts and the tech sector. Many house hunters who are already stretched thin by record-high home prices and closing costs must now decide whether, and how much, to pay an agent.

A 2-3% commission on the median home price of $416,700 could be well over $10,000, and in a world where consumers are accustomed to using technology for everything from taxes to tickets, many entrepreneurs see an opportunity to automate away the middleman, even as some consumer advocates say not so fast.

The State of AI Report 2024 — from nathanbenaich.substack.com by Nathan Benaich

The Great Mismatch — from the-job.beehiiv.com. by Paul Fain
Artificial intelligence could threaten millions of decent-paying jobs held by women without degrees.

Women in administrative and office roles may face the biggest AI automation risk, find Brookings researchers armed with data from OpenAI. Also, why Indiana could make the Swiss apprenticeship model work in this country, and how learners get disillusioned when a certificate doesn’t immediately lead to a good job.
…
A major new analysis from the Brookings Institution, using OpenAI data, found that the most vulnerable workers don’t look like the rail and dockworkers who have recaptured the national spotlight. Nor are they the creatives—like Hollywood’s writers and actors—that many wealthier knowledge workers identify with. Rather, they’re predominantly women in the 19M office support and administrative jobs that make up the first rung of the middle class.

“Unfortunately the technology and automation risks facing women have been overlooked for a long time,” says Molly Kinder, a fellow at Brookings Metro and lead author of the new report. “Most of the popular and political attention to issues of automation and work centers on men in blue-collar roles. There is far less awareness about the (greater) risks to women in lower-middle-class roles.”

introducing swarm: an experimental framework for building, orchestrating, and deploying multi-agent systems. ?https://t.co/97n4fehmtM

— shyamal (@shyamalanadkat) October 11, 2024

Is this how AI will transform the world over the next decade? — from futureofbeinghuman.com by Andrew Maynard
Anthropic’s CEO Dario Amodei has just published a radical vision of an AI-accelerated future. It’s audacious, compelling, and a must-read for anyone working at the intersection of AI and society.

But if Amodei’s essay is approached as a conversation starter rather than a manifesto — which I think it should be — it’s hard to see how it won’t lead to clearer thinking around how we successfully navigate the coming AI transition.

Given the scope of the paper, it’s hard to write a response to it that isn’t as long or longer as the original. Because of this, I’d strongly encourage anyone who’s looking at how AI might transform society to read the original — it’s well written, and easier to navigate than its length might suggest.

That said, I did want to pull out a few things that struck me as particularly relevant and important — especially within the context of navigating advanced technology transitions.

And speaking of that essay, here’s a summary from The Rundown AI:

Anthropic CEO Dario Amodei just published a lengthy essay outlining an optimistic vision for how AI could transform society within 5-10 years of achieving human-level capabilities, touching on longevity, politics, work, the economy, and more.

The details:

Amodei believes that by 2026, ‘powerful AI’ smarter than a Nobel Prize winner across fields, with agentic and all multimodal capabilities, will be possible.
He also predicted that AI could compress 100 years of scientific progress into 10 years, curing most diseases and doubling the human lifespan.
The essay argued AI could strengthen democracy by countering misinformation and providing tools to undermine authoritarian regimes.
The CEO acknowledged potential downsides, including job displacement — but believes new economic models will emerge to address this.
He envisions AI driving unprecedented economic growth but emphasizes ensuring AI’s benefits are broadly distributed.

Why it matters:

As the CEO of what is seen as the ‘safety-focused’ AI lab, Amodei paints a utopia-level optimistic view of where AI will head over the next decade. This thought-provoking essay serves as both a roadmap for AI’s potential and a call to action to ensure the responsible development of technology.

AI in the Workplace: Answering 3 Big Questions — from gallup.com by Kate Den Houter

However, most workers remain unaware of these efforts. Only a third (33%) of all U.S. employees say their organization has begun integrating AI into their business practices, with the highest percentage in white-collar industries (44%).
…
White-collar workers are more likely to be using AI. White-collar workers are, by far, the most frequent users of AI in their roles. While 81% of employees in production/frontline industries say they never use AI, only 54% of white-collar workers say they never do and 15% report using AI weekly.
…
Most employees using AI use it for idea generation and task automation. Among employees who say they use AI, the most common uses are to generate ideas (41%), to consolidate information or data (39%), and to automate basic tasks (39%).

Nvidia Blackwell GPUs sold out for the next 12 months as AI market boom continues — from techspot.com by Skye Jacobs
Analysts expect Team Green to increase its already formidable market share

Selling like hotcakes: The extraordinary demand for Blackwell GPUs illustrates the need for robust, energy-efficient processors as companies race to implement more sophisticated AI models and applications. The coming months will be critical to Nvidia as the company works to ramp up production and meet the overwhelming requests for its latest product.

Here’s my AI toolkit — from wondertools.substack.com by Jeremy Caplan and Nikita Roy
How and why I use the AI tools I do — an audio conversation

1. What are two useful new ways to use AI?

AI-powered research: Type a detailed search query into Perplexity instead of Google to get a quick, actionable summary response with links to relevant information sources. Read more of my take on why Perplexity is so useful and how to use it.
Notes organization and analysis: Tools like NotebookLM, Claude Projects, and Mem can help you make sense of huge repositories of notes and documents. Query or summarize your own notes and surface novel connections between your ideas.

How to do school with NotebookLM:

1. Record audio from class on your phone
2. Keep laptop closed. Just jot down short phrases to describe most important points
3. Upload audio and PDF scan of notes to NotebookLM
4. Ask Notebook to expand your notes with details from recording… pic.twitter.com/wfmCTJfRba

— Steven Johnson (@stevenbjohnson) September 26, 2024

Unlock deeper insights with NotebookLM: Now analyze YouTube videos & audio files alongside your docs. Plus, easily share your Audio Overview with a new sharing option!

Learn more: https://t.co/j1da9565aZ pic.twitter.com/9sULXX5Jud

— labs.google (@labsdotgoogle) September 26, 2024

According to Notebook LM on this Future U podcast — Searching for Fit: The Impacts of AI in Higher Ed — here are some excerpts from the generated table of contents:

Part 1: Setting the Stage

I. Introduction (0:00 – 6:16): …
II. Historical Contextualization (6:16 – 11:30): …
III. The Role of Product Fit in AI’s Impact (11:30 – 17:10): …
IV. AI and the Future of Knowledge Work (17:10 – 24:03): …
V. Teaching About AI in Higher Ed: A Measured Approach (24:03 – 34:20): …
VI. AI & the Evolving Skills Landscape (34:20 – 44:35): …
VII. Ethical & Pedagogical Considerations in an AI-Driven World (44:35 – 54:03):…
VIII. AI Beyond the Classroom: Administrative Applications & the Need for Intuition (54:03 – 1:04:30): …
IX. Reflections & Future Directions (1:04:30 – 1:11:15): ….

Part 2: Administrative Impacts & Looking Ahead

X. Bridging the Conversation: From Classroom to Administration (1:11:15 – 1:16:45): …
XI. The Administrative Potential of AI: A Looming Transformation (1:16:45 – 1:24:42): …
XII. The Need for Intuitiveness & the Importance of Real-World Applications (1:24:42 – 1:29:45): …
XIII. Looking Ahead: From Hype to Impactful Integration (1:29:45 – 1:34:25): …
XIV. Conclusion and Call to Action (1:34:25 – 1:36:03): …

The future of language learning — from medium.com by Sami Tatar

Most language learners do not have access to affordable 1:1 tutoring, which is also proven to be the most effective way to learn (short of moving to a specific country for complete immersion). Meanwhile, language learning is a huge market, and with an estimated 60% of this still dominated by “offline” solutions, meaning it is prime for disruption and never more so than with the opportunities unlocked through AI powered language learning. Therefore — we believe this presents huge opportunities for new startups creating AI native products to create the next language learning unicorns.

I never imagined I’d learn so much without paying for a course.

Here are 8 ChatGPT-4 prompts I wish I’d found sooner: pic.twitter.com/b9gqEGInSd

— Ryan Hart ? (@thisdudelikesAI) October 5, 2024

“The Broken Mirror: Rethinking Education, AI, and Equity in America’s Classrooms” — from nickpotkalitsky.substack.com by JC Price

It’s not that AI is inherently biased, but in its current state, it favors those who can afford it. The wealthy districts continue to pull ahead, leaving schools without resources further behind. Students in these underserved areas aren’t just being deprived of technology—they’re being deprived of the future.

But imagine a different world—one where AI doesn’t deepen the divide, but helps to bridge it. Technology doesn’t have to be the luxury of the wealthy. It can be a tool for every student, designed to meet them where they are. Adaptive AI systems, integrated into schools regardless of their budget, can provide personalized learning experiences that help students catch up and push forward, all while respecting the limits of their current infrastructure. This is where AI’s true potential lies—not in widening the gap, but in leveling the field.

But imagine if, instead of replacing teachers, AI helped to support them. Picture a world where teachers are freed from the administrative burdens that weigh them down. Where AI systems handle the logistics, so teachers can focus on what they do best—teaching, mentoring, and inspiring the next generation. Professional development could be personalized, helping teachers integrate AI into their classrooms in ways that enhance their teaching, without adding to their workload. This is the future we should be striving toward—one where technology serves to lift up educators, not push them out.

Employers Say Students Need AI Skills. What If Students Don’t Want Them? — from insidehighered.com by Ashley Mowreader
Colleges and universities are considering new ways to incorporate generative AI into teaching and learning, but not every student is on board with the tech yet. Experts weigh in on the necessity of AI in career preparation and higher education’s role in preparing students for jobs of the future.

Among the 5,025-plus survey respondents, around 2 percent (n=93), provided free responses to the question on AI policy and use in the classroom. Over half (55) of those responses were flat-out refusal to engage with AI. A few said they don’t know how to use AI or are not familiar with the tool, which impacts their ability to apply appropriate use to coursework.

But as generative AI becomes more ingrained into the workplace and higher education, a growing number of professors and industry experts believe this will be something all students need, in their classes and in their lives beyond academia.

From DSC:
I used to teach a Foundations of Information Technology class. Some of the students didn’t want to be there as they began the class, as it was a required class for non-CS majors. But after seeing what various applications and technologies could do for them, a good portion of those same folks changed their minds. But not all. Some students (2% sounds about right) asserted that they would never use technologies in their futures. Good luck with that I thought to myself. There’s hardly a job out there that doesn’t use some sort of technology.

And I still think that today — if not more so. If students want good jobs, they will need to learn how to use AI-based tools and technologies. I’m not sure there’s much of a choice. And I don’t think there’s much of a choice for the rest of us either — whether we’re still working or not.

So in looking at the title of the article — “Employers Say Students Need AI Skills. What If Students Don’t Want Them?” — those of us who have spent any time working within the world of business already know the answer.

#Reinvent #Skills #StayingRelevant #Surviving #Workplace + several other categories/tags apply.

For those folks who have tried AI:

Skills: However, genAI may also be helpful in building skills to retain a job or secure a new one. People who had used genAI tools were more than twice as likely to think that these tools could help them learn new skills that may be useful at work or in locating a new job. Specifically, among those who had not used genAI tools, 23 percent believed that these tools might help them learn new skills, whereas 50 percent of those who had used the tools thought they might be helpful in acquiring useful skills (a highly statistically significant difference, after controlling for demographic traits).

Source: Federal Reserve Bank of New York

Walt Disney’s Wisdom: Lessons for Learning & Development Leaders [Kelly]

On 10/05/2024, in adult learning, business, corporate / business world, corporate universities / corporate training, experimentation, innovation, learning ecosystem, lifelong learning, workplace, by Daniel Christian

Walt Disney’s Wisdom: Lessons for Learning & Development Leaders — from learningguild.com by David Kelly

Here are a few of my favorite [quotes], along with the valuable lessons they offer us in Learning and Development.

“Everyone has deadlines.”
“I believe in being an innovator.”
“Times and conditions change so rapidly that we must keep our aim constantly focused on the future.
“I can never stand still. I must explore and experiment.”
…and several other quotes.

Students at This High School Do Internships. It’s a Game Changer — from edweek.org by Elizabeth Heubeck

Disengaged students. Sky-high absenteeism. A disconnect between the typical high school’s academic curriculum and post-graduation life.

These and related complaints about the American high school experience have been gathering steam for some time; the pandemic exacerbated them. State-level policymakers have taken note, and many are now trying to figure out how to give high school students access to a more relevant and engaging experience that prepares them for a future—whether it involves college or doesn’t.
…
After a slow start, the school’s internship program has grown exponentially. In 2019-20, just five students completed internships, mainly due to the logistical challenges the pandemic presented. This past year, it grew to over 180 participating seniors, with more than 200 community organizations agreeing to accept interns.

How Do Today’s High Schoolers Fare As They Enter Adulthood? View the Data — from edweek.org by Sarah D. Sparks

Even when students have access to high-quality dual-credit programs, they often do not get guidance about the academic and workplace requirements of particular fields until it’s too late, said Julie Lammers, the senior vice president of advocacy and corporate social responsibility for American Student Assistance, a national nonprofit focused on helping young people learn about college and careers.

“We need to start having career conversations with young people much earlier in their trajectory, at the time young people are still open to possibilities,” Lammers said. “If they don’t see themselves in science by 8th grade, STEM careers come off the table.”

Cost plays a big role in the decision to attend and stay in college. The Education Data Initiative finds that on average, students in 2024 racked up nearly$38,000 in debt to pursue a bachelor’s degree, with many expecting to take up to 20 years to pay it off.

Transforming Education From School-Centered to Learner-Centered
Centering Learners by Design: Shaping the Future of Education — from gettingsmart.com

What outcomes do we truly desire for young people? Many students feel that their current educational experiences do not prepare them adequately for real-world challenges. Supported by data on attendance, disengagement, and stress, it’s evident that a shift is needed. To move beyond outdated school-centered models, we must embrace a learner-centered paradigm that fosters flexibility, personalization, and authentic community engagement. Innovative approaches like multiage microschools and passion projects are transforming how students learn by fostering real-world skills, confidence, and community engagement.

These learner-centered models—ranging from personalized projects to collaborative problem-solving—provide actionable strategies to create environments where every student can thrive. Schools are moving away from one-size-fits-all systems and embracing approaches like flexible learning pathways, mentorship opportunities, and community-integrated learning. These strategies are not only closing the gap between education and the skills needed for the future but also reshaping public schools into dynamic hubs of innovation.

Key Points

Engaging parents, youth, teachers, principals, district leaders, community members, and industry experts in the co-design process ensures that education systems align with the aspirations and needs of the community.
Transitioning from a traditional school-centered model to a learner-centered approach is critical for preparing students with the skills needed to thrive in the 21st century.

“185 real-world gen AI use cases from the world’s leading organizations” [Google], a professional network for AI agents [Shah] + other items re: AI in general

On 10/01/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, cloud-based computing / apps / other cloud-related, communications, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, creativity, data related items, design, digital audio, digital video, emerging technologies, engineering, ethics, future, game-changing environment, Google, graphics, health, innovation, languages and translation, learning agents, Microsoft, morals/values, NVIDIA, online learning, online media, Open AI, platforms, podcasting, presentations, productivity / tips and tricks, programming, robotics, telemedicine / telehealth / virtual health, tools, training / L&D, United States, vendors, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

AI’s Trillion-Dollar Opportunity — from bain.com by David Crawford, Jue Wang, and Roy Singh
The market for AI products and services could reach between $780 billion and $990 billion by 2027.

At a Glance

The big cloud providers are the largest concentration of R&D, talent, and innovation today, pushing the boundaries of large models and advanced infrastructure.
Innovation with smaller models (open-source and proprietary), edge infrastructure, and commercial software is reaching enterprises, sovereigns, and research institutions.
Commercial software vendors are rapidly expanding their feature sets to provide the best use cases and leverage their data assets.

Accelerated market growth. Nvidia’s CEO, Jensen Huang, summed up the potential in the company’s Q3 2024 earnings call: “Generative AI is the largest TAM [total addressable market] expansion of software and hardware that we’ve seen in several decades.”

And on a somewhat related note (i.e., emerging technologies), also see the following two postings:

Surgical Robots: Current Uses and Future Expectations — from medicalfuturist.com by Pranavsingh Dhunnoo
As the term implies, a surgical robot is an assistive tool for performing surgical procedures. Such manoeuvres, also called robotic surgeries or robot-assisted surgery, usually involve a human surgeon controlling mechanical arms from a control centre.

Key Takeaways

Robots’ potentials have been a fascination for humans and have even led to a booming field of robot-assisted surgery.
Surgical robots assist surgeons in performing accurate, minimally invasive procedures that are beneficial for patients’ recovery.
The assistance of robots extend beyond incisions and includes laparoscopies, radiosurgeries and, in the future, a combination of artificial intelligence technologies to assist surgeons in their craft.

Proto hologram tech allows cancer patients to receive specialist care without traveling large distances — from inavateonthenet.net

“Working with the team from Proto to bring to life, what several years ago would have seemed impossible, is now going to allow West Cancer Center & Research Institute to pioneer options for patients to get highly specialized care without having to travel to large metro areas,” said West Cancer’s CEO, Mitch Graves.

Google just got MASSIVE upgrade

Gemini is now inside Chrome

Here’re 7 Powerful Features you don’t want to miss: pic.twitter.com/XcCypnaKb0

— Poonam Soni (@CodeByPoonam) September 27, 2024

Obviously this workflow works just as well for meetings as it does for lectures. Stay present in the meeting with no screens and just write down the key points with pen and paper. Then let NotebookLM assemble the detailed summary based on your high-level notes. https://t.co/fZMG7LgsWG

— Steven Johnson (@stevenbjohnson) September 26, 2024

Clone your voice in minutes: The AI trick 95% don’t know about — from aidisruptor.ai by Alex McFarland
Warning: May cause unexpected bouts of talking to yourself

Now that you’ve got your voice clone, what can you do with it?

Content Creation:
- Podcast Production: Record episodes in half the time. Your listeners won’t know the difference, but your schedule will thank you.
- Audiobook Narration: Always wanted to narrate your own book? Now you can, without spending weeks in a recording studio.
- YouTube Videos: Create voiceovers for your videos in multiple languages. World domination, here you come!
Business Brilliance:
- Customer Service: Personalized automated responses that actually sound personal.
- Training Materials: Create engaging e-learning content in your own voice, minus the hours of recording.
- Presentations: Never worry about losing your voice before a big presentation again. Your clone’s got your back.

185 real-world gen AI use cases from the world’s leading organizations — from blog.google by Brian Hall; via Daniel Nest’s Why Try AI

In a matter of months, organizations have gone from AI helping answer questions, to AI making predictions, to generative AI agents. What makes AI agents unique is that they can take actions to achieve specific goals, whether that’s guiding a shopper to the perfect pair of shoes, helping an employee looking for the right health benefits, or supporting nursing staff with smoother patient hand-offs during shifts changes.

In our work with customers, we keep hearing that their teams are increasingly focused on improving productivity, automating processes, and modernizing the customer experience. These aims are now being achieved through the AI agents they’re developing in six key areas: customer service; employee empowerment; code creation; data analysis; cybersecurity; and creative ideation and production.
…
Here’s a snapshot of how 185 of these industry leaders are putting AI to use today, creating real-world use cases that will transform tomorrow.

AI Data Drop: 3 Key Insights from Real-World Research on AI Usage — from microsoft.com; via Daniel Nest’s Why Try AI
One of the largest studies of Copilot usage—at nearly 60 companies—reveals how AI is changing the way we work.

AI is starting to liberate people from email
Meetings are becoming more about value creation
People are co-creating more with AI—and with one another

*** Dharmesh has been working on creating agent.ai — a professional network for AI agents.***

Speaking of agents, also see:

Onboarding the AI workforce: How digital agents will redefine work itself — from venturebeat.com by Gary Grossman

AI in 2030: A transformative force

AI agents are integral team members
The emergence of digital humans
AI-driven speech and conversational interfaces
AI-enhanced decision-making and leadership
Innovation and research powered by AI
The changing nature of job roles and skills

AI Video Tools You Can Use Today — from heatherbcooper.substack.com by Heather Cooper
The latest AI video models that deliver results

AI video models are improving so quickly, I can barely keep up! I wrote about unreleased Adobe Firefly Video in the last issue, and we are no closer to public access to Sora.

No worries – we do have plenty of generative AI video tools we can use right now.

Kling AI launched its updated v1.5 and the quality of image or text to video is impressive.
Hailuo MiniMax text to video remains free to use for now, and it produces natural and photorealistic results (with watermarks).
Runway added the option to upload portrait aspect ratio images to generate vertical videos in Gen-3 Alpha & Turbo modes.
…plus several more

Advanced Voice is rolling out to all Plus and Team users in the ChatGPT app over the course of the week.

While you’ve been patiently waiting, we’ve added Custom Instructions, Memory, five new voices, and improved accents.

It can also say “Sorry I’m late” in over 50 languages. pic.twitter.com/APOqqhXtDg

— OpenAI (@OpenAI) September 24, 2024

Should we be concerned about what’s happening at OpenAI? What does this say about the leader of arguably 1 of the most powerful co’s in the world today?

On 09/27/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, change, changing business models, corporate / business world, Daniel S. Christian, future, game-changing environment, generational differences, global / globalization, leadership, new business models, Open AI, society, strategy, the downsides of how people use tech, United States, vendors, by Daniel Christian

One left
byu/jim_andr inOpenAI

From DSC:
I’m not trying to gossip here. I post this because Sam Altman is the head of arguably one of the most powerful companies in the world today — at least in terms of introducing change to a variety of societies throughout the globe (both positive and negative). So when we’ve now seen almost the entire leadership team head out the door, this certainly gives me major pause. I don’t like it. Items like the ones below begin to capture some of why I’m troubled and suspicious about these troubling moves.

OpenAI board mulls equity stake for Sam Altman that could be a massive payday — from fortune.com by Dave Smith
And as Linus Ekenstam points out:

So. hear me out. it’s natural for leadership to change. but if we look at Apple, leadership changes over decades if not more.

Why, if everything is so fast paced, hyper growth oriented and groundbreaking. Do people choose to leave?

I think I and many others are baffled

— Linus @ Meta Connect (@LinusEkenstam) September 26, 2024

OpenAI to Become For-Profit Company — from wsj.com by Deepa Seetharaman, Berber Jin, and Tom Dotan (behind paywall)
Planned restructuring comes amid personnel upheaval including resignation of chief technology officer
Three more execs out at OpenAI, including technology chief Mira Murati — from cnn.com by Clare Duffy
OpenAI’s executive exodus is continuing with three top leaders announcing their exits Wednesday, including Chief Technology Officer Mira Murati.

The Rise Of Upskilling And Continuous Learning In A Slow Labor Market [Duchene]

On 09/12/2024, in adult learning, business, corporate / business world, corporate universities / corporate training, lifelong learning, training / L&D, workplace, by Daniel Christian

The Rise Of Upskilling And Continuous Learning In A Slow Labor Market — from forbes.com by Kate Duchene

This stagnation in hiring is placing talent acquisition and retention near the top of the list of biggest concerns for business leaders. According to a pulse survey fielded by RGP in June, one in four financial decision makers (26%) say that acquiring and retaining talent is their top concern for the second half of 2024 – second only to the integration of more digital strategies, including AI and automation (30%). Nearly half (45%) of financial decision makers say their organization plans to increase investment in resources to reskill or upskill current employees this year.

From DSC:
Anyone who is involved in putting on conferences should at least be aware that this kind of thing is now possible!!! Check out the following posting from Adobe (with help from Tata Consultancy Services (TCS).

From impossible to POSSIBLE: Tata Consultancy Services uses Adobe Firefly generative AI and Acrobat AI Assistant to turn hours of work into minutes — from blog.adobe.com

This year, the organizers — innovative industry event company Beyond Ordinary Events — turned to Tata Consultancy Services (TCS) to make the impossible “possible.” Leveraging Adobe generative AI technology across products like Adobe Premiere Pro and Acrobat, they distilled hours of video content in minutes, delivering timely dispatches to thousands of attendees throughout the conference.
…
For POSSIBLE ’24, Muche had an idea for a daily dispatch summarizing each day’s sessions so attendees wouldn’t miss a single insight. But timing would be critical. The dispatch needed to reach attendees shortly after sessions ended to fuel discussions over dinner and carry the excitement over to the next day.

The workflow started in Adobe Premiere Pro, with the writer opening a recording of each session and using the Speech to Text feature to automatically generate a transcript. They saved the transcript as a PDF file and opened it in Adobe Acrobat Pro. Then, using Adobe Acrobat AI Assistant, the writer asked for a session summary.

It was that fast and easy. In less than four minutes, one person turned a 30-minute session into an accurate, useful summary ready for review and publication.

By taking advantage of templates, the designer then added each AI-enabled summary to the newsletter in minutes. With just two people and generative AI technology, TCS accomplished the impossible — for the first time delivering an informative, polished newsletter to all 3,500 conference attendees just hours after the last session of the day.

Teens are losing interest in school, and say they hear about college ‘a lot’ — from npr.org by Cory Turner

This is not your standard back-to-school story, about school supplies or first-day butterflies.

It’s about how school-aged members of Gen Z — that’s 12- to 18-year-olds — are feeling about school and the future. And according to a new national survey, those feelings are a little worrying.

School engagement is down. The middle- and high-schoolers surveyed find school less interesting than they did just last year, and only about half believe they’re being challenged “in a good way.” The problem is especially acute for teens who say they don’t want to go to college right out of high school.

“The conversations that [K-12 schools are] having with middle-schoolers and high-schoolers are predominantly about college,” says Zach Hrynowski, a senior education researcher at Gallup. “Even the kids who are like, ‘I don’t want to go to college,’ what are they hearing the most about? College. We’re not talking to them about apprenticeships, internships, starting a business, entrepreneurial aspirations or jobs that don’t require a college degree.”

When A.I.’s Output Is a Threat to A.I. Itself — from nytimes.com by Aatish Bhatia
As A.I.-generated data becomes harder to detect, it’s increasingly likely to be ingested by future A.I., leading to worse results.

All this A.I.-generated information can make it harder for us to know what’s real. And it also poses a problem for A.I. companies. As they trawl the web for new data to train their next models on — an increasingly challenging task — they’re likely to ingest some of their own A.I.-generated content, creating an unintentional feedback loop in which what was once the output from one A.I. becomes the input for another.

In the long run, this cycle may pose a threat to A.I. itself. Research has shown that when generative A.I. is trained on a lot of its own output, it can get a lot worse.

This weekend, the @xAI team brought our Colossus 100k H100 training cluster online. From start to finish, it was done in 122 days.

Colossus is the most powerful AI training system in the world. Moreover, it will double in size to 200k (50k H200s) in a few months.

Excellent…

— Elon Musk (@elonmusk) September 2, 2024

Per The Rundown AI:

The Rundown: Elon Musk’s xAI just launched “Colossus“, the world’s most powerful AI cluster powered by a whopping 100,000 Nvidia H100 GPUs, which was built in just 122 days and is planned to double in size soon.
…
Why it matters: xAI’s Grok 2 recently caught up to OpenAI’s GPT-4 in record time, and was trained on only around 15,000 GPUs. With now more than six times that amount in production, the xAI team and future versions of Grok are going to put a significant amount of pressure on OpenAI, Google, and others to deliver.

Google Meet’s automatic AI note-taking is here — from theverge.com by Joanna Nelius
Starting [on 8/28/24], some Google Workspace customers can have Google Meet be their personal note-taker.

Google Meet’s newest AI-powered feature, “take notes for me,” has started rolling out today to Google Workspace customers with the Gemini Enterprise, Gemini Education Premium, or AI Meetings & Messaging add-ons. It’s similar to Meet’s transcription tool, only instead of automatically transcribing what everyone says, it summarizes what everyone talked about. Google first announced this feature at its 2023 Cloud Next conference.

The World’s Call Center Capital Is Gripped by AI Fever — and Fear — from bloomberg.com by Saritha Rai [behind a paywall]
The experiences of staff in the Philippines’ outsourcing industry are a preview of the challenges and choices coming soon to white-collar workers around the globe.

[Claude] Artifacts are now generally available — from anthropic.com

[On 8/27/24], we’re making Artifacts available for all Claude.ai users across our Free, Pro, and Team plans. And now, you can create and view Artifacts on our iOS and Android apps.

Artifacts turn conversations with Claude into a more creative and collaborative experience. With Artifacts, you have a dedicated window to instantly see, iterate, and build on the work you create with Claude. Since launching as a feature preview in June, users have created tens of millions of Artifacts.

What are the risks from Artificial Intelligence?
A comprehensive living database of over 700 AI risks categorized by their cause and risk domain.

What is the AI Risk Repository?
The AI Risk Repository has three parts:

The AI Risk Database captures 700+ risks extracted from 43 existing frameworks, with quotes and page numbers.
The Causal Taxonomy of AI Risks classifies how, when, and why these risks occur.
The Domain Taxonomy of AI Risks classifies these risks into seven domains (e.g., “Misinformation”) and 23 subdomains (e.g., “False or misleading information”).

California lawmakers approve legislation to ban deepfakes, protect workers and regulate AI — from newsday.com by The Associated Press

SACRAMENTO, Calif. — California lawmakers approved a host of proposals this week aiming to regulate the artificial intelligence industry, combat deepfakes and protect workers from exploitation by the rapidly evolving technology.

Per Oncely:

The Details:

Combatting Deepfakes: New laws to restrict election-related deepfakes and deepfake pornography, especially of minors, requiring social media to remove such content promptly.
Setting Safety Guardrails: California is poised to set comprehensive safety standards for AI, including transparency in AI model training and pre-emptive safety protocols.
Protecting Workers: Legislation to prevent the replacement of workers, like voice actors and call center employees, with AI technologies.

Over the coming days, start creating and chatting with Gems: customizable versions of Gemini that act as topic experts. ?

We’re also launching premade Gems for different scenarios – including Learning coach to break down complex topics and Coding partner to level up your skills… pic.twitter.com/2Dk8NxtTCE

— Google DeepMind (@GoogleDeepMind) August 28, 2024

New in Gemini: Custom Gems and improved image generation with Imagen 3 — from blog.google
The ability to create custom Gems is coming to Gemini Advanced subscribers, and updated image generation capabilities with our latest Imagen 3 model are coming to everyone.

We have new features rolling out, [that started on 8/28/24], that we previewed at Google I/O. Gems, a new feature that lets you customize Gemini to create your own personal AI experts on any topic you want, are now available for Gemini Advanced, Business and Enterprise users. And our new image generation model, Imagen 3, will be rolling out across Gemini, Gemini Advanced, Business and Enterprise in the coming days.

Cut the Chatter, Here Comes Agentic AI — from trendmicro.com

Major AI players caught heat in August over big bills and weak returns on AI investments, but it would be premature to think AI has failed to deliver. The real question is what’s next, and if industry buzz and pop-sci pontification hold any clues, the answer isn’t “more chatbots”, it’s agentic AI.

Agentic AI transforms the user experience from application-oriented information synthesis to goal-oriented problem solving. It’s what people have always thought AI would do—and while it’s not here yet, its horizon is getting closer every day.

In this issue of AI Pulse, we take a deep dive into agentic AI, what’s required to make it a reality, and how to prevent ‘self-thinking’ AI agents from potentially going rogue.
…
Citing AWS guidance, ZDNET counts six different potential types of AI agents:

- Simple reflex agents for tasks like resetting passwords
- Model-based reflex agents for pro vs. con decision making
- Goal-/rule-based agents that compare options and select the most efficient pathways
- Utility-based agents that compare for value
- Learning agents
- Hierarchical agents that manage and assign subtasks to other agents

Ask Claude: Amazon turns to Anthropic’s AI for Alexa revamp — from reuters.com by Greg Bensinger

Summary:

Amazon developing new version of Alexa with generative AI
Retailer hopes to generate revenue by charging for its use
Concerns about in-house AI prompt Amazon to turn to Anthropic’s Claude, sources say
Amazon says it uses many different technologies to power Alexa

Alibaba releases new AI model Qwen2-VL that can analyze videos more than 20 minutes long — from venturebeat.com by Carl Franzen

Hobbyists discover how to insert custom fonts into AI-generated images — from arstechnica.com by Benj Edwards
Like adding custom art styles or characters, in-world typefaces come to Flux.

200 million people use ChatGPT every week – up from 100 million last fall, says OpenAI — from zdnet.com by Sabrina Ortiz
Nearly two years after launching, ChatGPT continues to draw new users. Here’s why.

“8 Legal Tech Trends Transforming Practice in 2024” [lawyer-monthly.com] + several other legaltech-related items

On 08/28/2024, in 21st century, 24x7x365 access, Blockchain, business, data related items, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, research, surviving, trends, UK, United States, vendors, Virtual courts and law firms, by Daniel Christian

8 Legal Tech Trends Transforming Practice in 2024 — from lawyer-monthly.com

Thanks to rapid advances in technology, the entire scenario within the legal landscape is changing fast. Fast forward to 2024, and legal tech integration would be the lifeblood of any law firm or legal department if it wishes to stay within the competitive fray.

Innovations such as AI-driven tools for research to blockchain-enabled contracts are thus not only guideline highlights of legal work today. Understanding and embracing these trends will be vital to surviving and thriving in law as the revolution gains momentum and the sands of the world of legal practice continue to shift.

Below are the eight expected trends in legal tech defining the future legal practice.

Building your legal practice’s AI future: Understanding the actual technologies — from thomsonreuters.com by
The implementation of a successful AI strategy for a law firm depends not only on having the right people, but also understanding the tech and how to make it work for the firm

While we’re not delving deep here into how generative artificial intelligence (GenAI) and large language models (LLMs) work, we will talk generally about different categories of tech and emerging GenAI functionalities that are specific for legal.

Ex-Microsoft engineers raise $25M for legal tech startup that uses AI to help lawyers analyze data — from geekwire.com by Taylor Soper

Supio, a Seattle startup founded in 2021 by longtime friends and former Microsoft engineers, raised a $25 million Series A investment to supercharge its software platform designed to help lawyers quickly sort, search, and organize case-related data.
…
Supio focuses on cases related to personal injury and mass tort plaintiff law (when many plaintiffs file a claim). It specializes in organizing unstructured data and letting lawyers use a chatbot to pull relevant information.

“Most lawyers are data-rich and time-starved, but Supio automates time-sapping manual processes and empowers them to identify critical information to prove and expedite their cases,” Supio CEO and co-founder Jerry Zhou said in a statement.

ILTACON 2024: Large law firms are moving carefully but always forward with their GenAI strategy — from thomsonreuters.com by Zach Warren

NASHVILLE — As the world approaches the two-year mark since the original introduction of OpenAI’s ChatGPT, law firms already have made in-roads into establishing generative artificial intelligence (GenAI) as a part of their firms. Whether for document and correspondence drafting, summarization of meetings and contracts, legal research, or for back-office capabilities, firms have been playing around with a number of use cases to see where the technology may fit into the future.

Thomson Reuters acquires pre-revenue legal LLM developer Safe Sign Technologies – Here’s why — from legaltechnology.com by Caroline Hill

Thomson Reuters announced (on August 21) it has made the somewhat unusual acquisition of UK pre-revenue startup Safe Sign Technologies (SST), which is developing legal-specific large language models (LLMs) and as of just eight months ago was operating in stealth mode.
…
There isn’t an awful lot of public information available about the company but speaking to Legal IT Insider about the acquisition, Hron explained that SST is focused in part on deep learning research as it pertains to training large language models and specifically legal large language models. The company as yet has no customers and has been focusing exclusively on developing the technology and the models.

Supio brings generative AI to personal injury cases — from techcrunch.com by Kyle Wiggers

Legal work is incredibly labor- and time-intensive, requiring piecing together cases from vast amounts of evidence. That’s driving some firms to pilot AI to streamline certain steps; according to a 2023 survey by the American Bar Association, 35% of law firms now use AI tools in their practice.

OpenAI-backed Harvey is among the big winners so far in the burgeoning AI legal tech space, alongside startups such as Leya and Klarity. But there’s room for one more, says Jerry Zhou and Kyle Lam, the co-founders of an AI platform for personal injury law called Supio, which emerged from stealth Tuesday with a $25 million investment led by Sapphire Ventures.

Supio uses generative AI to automate bulk data collection and aggregation for legal teams. In addition to summarizing info, the platform can organize and identify files — and snippets within files — that might be useful in outlining, drafting and presenting a case, Zhou said.

“The top 100 Gen AI Consumer Apps 3rd ed” [Andreessen Horowitz] + several other items re: AI in general

On 08/26/2024, in Adobe, adult learning, art, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, corporate / business world, corporate universities / corporate training, creativity, culture, graphics, lifelong learning, platforms, tools, training / L&D, United States, vendors, by Daniel Christian

Generative AI and the Time Management Revolution — from ai-mindset.ai by Conor Grennan

Here’s how we need to change our work lives:

RECLAIM: Use generative AI to speed up your daily tasks. Be ruthless. Anything that can be automated, should be.
PROTECT: This is the crucial step. That time you’ve saved? Protect it like it’s the last slice of pizza. Block it off in your calendar. Tell your team it’s sacred.
ELEVATE: Use this protected time for high-level thinking. Strategy. Innovation. The big, meaty problems you never have time for.
AMPLIFY: Here’s where it gets cool. Use generative AI to amp up your strategic thinking. Need to brainstorm solutions to a complex problem? Want to analyze market trends? Generative AI is your new thinking partner.

The top 100 Gen AI Consumer Apps — 3rd edition — from a16z.com by Andreessen Horowitz

But amid the relentless onslaught of product launches, investment announcements, and hyped-up features, it’s worth asking: Which of these gen AI apps are people actually using? Which behaviors and categories are gaining traction among consumers? And which AI apps are people returning to, versus dabbling and dropping?

Welcome to the third installment of the Top 100 Gen AI Consumer Apps.
.

Gen AI’s next inflection point: From employee experimentation to organizational transformation — from mckinsey.com by Charlotte Relyea, Dana Maor, and Sandra Durth with Jan Bouly
As many employees adopt generative AI at work, companies struggle to follow suit. To capture value from current momentum, businesses must transform their processes, structures, and approach to talent.

To harness employees’ enthusiasm and stay ahead, companies need a holistic approach to transforming how the whole organization works with gen AI; the technology alone won’t create value.

Our research shows that early adopters prioritize talent and the human side of gen AI more than other companies (Exhibit 3). Our survey shows that nearly two-thirds of them have a clear view of their talent gaps and a strategy to close them, compared with just 25 percent of the experimenters. Early adopters focus heavily on upskilling and reskilling as a critical part of their talent strategies, as hiring alone isn’t enough to close gaps and outsourcing can hinder strategic-skills development. Finally, 40 percent of early-adopter respondents say their organizations provide extensive support to encourage employee adoption, versus 9 percent of experimenter respondents.

Adobe drops ‘Magic Fixup’: An AI breakthrough in the world of photo editing — from venturebeat.com by Michael Nuñez

Adobe researchers have revealed an AI model that promises to transform photo editing by harnessing the power of video data. Dubbed “Magic Fixup,” this new technology automates complex image adjustments while preserving artistic intent, potentially reshaping workflows across multiple industries.

Magic Fixup’s core innovation lies in its unique approach to training data. Unlike previous models that relied solely on static images, Adobe’s system learns from millions of video frame pairs. This novel method allows the AI to understand the nuanced ways objects and scenes change under varying conditions of light, perspective, and motion.

Top AI tools people actually use — from heatherbcooper.substack.com by Heather Cooper
How generative AI tools are changing the creative landscape

The shift toward creative tools
Creative tools made up 52% of the top generative AI apps on the list. This seems to reflect a growing consumer demand for accessible creativity through AI with tools for image, music, speech, video, and editing.

Creative categories include:

Image: Civitai, Leonardo, Midjourney, Yodayo, Ideogram, SeaArt
Music: Suno, Udio, VocalRemover
Speech: ElevenLabs, Speechify
Video: Luma AI, Viggle, Invideo AI, Vidnoz, ClipChamp
Editing: Cutout Pro, Veed, Photoroom, Pixlr, PicWish

Why it matters:
Creative apps are gaining traction because they empower digital artists and content creators with AI-driven tools that simplify and enhance the creative process, making professional-level work more accessible than ever.

7+ items regarding AI in our learning ecosystems

On 08/26/2024, in accessibility / UDL, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Bias | Diversity Equity & Inclusion (DE&I), business, career development, change, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital audio, digital storytelling, digital video, education technology, emerging technologies, experimentation, faculty, graphics, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, IT in HE, K-12 related, law schools, learning ecosystem, Learning Experience Design, multimedia, music, neurodivergent/special needs, pace of change, productivity / tips and tricks, skills, student-related, teaching & learning, training / L&D, United States, universities, workplace, by Daniel Christian

What Students Want: Key Results from DEC Global AI Student Survey 2024 — from digitaleducationcouncil.com by Digital Education Council

86% of students globally are regularly using AI in their studies, with 54% of them using AI on a weekly basis, the recent Digital Education Council Global AI Student Survey found.
ChatGPT was found to be the most widely used AI tool, with 66% of students using it, and over 2 in 3 students reported using AI for information searching.
Despite their high rates of AI usage, 1 in 2 students do not feel AI ready. 58% reported that they do not feel that they had sufficient AI knowledge and skills, and 48% do not feel adequately prepared for an AI-enabled workplace.

Chatting with WEF about ChatGPT in the classroom — from futureofbeinghuman.com by Andrew Maynard
A short video on generative AI in education from the World Economic Forum

The Post-AI Instructional Designer — from drphilippahardman.substack.com by Dr. Philippa Hardman
How the ID role is changing, and what this means for your key skills, roles & responsibilities

Specifically, the study revealed that teachers who reported most productivity gains were those who used AI not just for creating outputs (like quizzes or worksheets) but also for seeking input on their ideas, decisions and strategies.

Those who engaged with AI as a thought partner throughout their workflow, using it to generate ideas, define problems, refine approaches, develop strategies and gain confidence in their decisions gained significantly more from their collaboration with AI than those who only delegated functional tasks to AI.

Leveraging Generative AI for Inclusive Excellence in Higher Education — from er.educause.edu by Lorna Gonzalez, Kristi O’Neil-Gonzalez, Megan Eberhardt-Alstot, Michael McGarry and Georgia Van Tyne
Drawing from three lenses of inclusion, this article considers how to leverage generative AI as part of a constellation of mission-centered inclusive practices in higher education.

The hype and hesitation about generative artificial intelligence (AI) diffusion have led some colleges and universities to take a wait-and-see approach.Footnote1 However, AI integration does not need to be an either/or proposition where its use is either embraced or restricted or its adoption aimed at replacing or outright rejecting existing institutional functions and practices. Educators, educational leaders, and others considering academic applications for emerging technologies should consider ways in which generative AI can complement or augment mission-focused practices, such as those aimed at accessibility, diversity, equity, and inclusion. Drawing from three lenses of inclusion—accessibility, identity, and epistemology—this article offers practical suggestions and considerations that educators can deploy now. It also presents an imperative for higher education leaders to partner toward an infrastructure that enables inclusive practices in light of AI diffusion.

An example way to leverage AI:

How to Leverage AI for Identity Inclusion
Educators can use the following strategies to intentionally design instructional content with identity inclusion in mind.

Provide a GPT or AI assistant with upcoming lesson content (e.g., lecture materials or assignment instructions) and ask it to provide feedback (e.g., troublesome vocabulary, difficult concepts, or complementary activities) from certain perspectives. Begin with a single perspective (e.g., first-time, first-year student), but layer in more to build complexity as you interact with the GPT output.

Gen AI’s next inflection point: From employee experimentation to organizational transformation — from mckinsey.com by Charlotte Relyea, Dana Maor, and Sandra Durth with Jan Bouly
As many employees adopt generative AI at work, companies struggle to follow suit. To capture value from current momentum, businesses must transform their processes, structures, and approach to talent.

To harness employees’ enthusiasm and stay ahead, companies need a holistic approach to transforming how the whole organization works with gen AI; the technology alone won’t create value.

Our research shows that early adopters prioritize talent and the human side of gen AI more than other companies (Exhibit 3). Our survey shows that nearly two-thirds of them have a clear view of their talent gaps and a strategy to close them, compared with just 25 percent of the experimenters. Early adopters focus heavily on upskilling and reskilling as a critical part of their talent strategies, as hiring alone isn’t enough to close gaps and outsourcing can hinder strategic-skills development. Finally, 40 percent of early-adopter respondents say their organizations provide extensive support to encourage employee adoption, versus 9 percent of experimenter respondents.

7 Ways to Use AI Music in Your Classroom — from classtechtips.com by Monica Burns

Change blindness — from oneusefulthing.org by Ethan Mollick
21 months later

I don’t think anyone is completely certain about where AI is going, but we do know that things have changed very quickly, as the examples in this post have hopefully demonstrated. If this rate of change continues, the world will look very different in another 21 months. The only way to know is to live through it.

My AI Breakthrough — from mgblog.org by Miguel Guhlin

Over the subsequent weeks, I’ve made other adjustments, but that first one was the one I asked myself:

What are you doing?
Why are you doing it that way?
How could you change that workflow with AI?
Applying the AI to the workflow, then asking, “Is this what I was aiming for? How can I improve the prompt to get closer?”
Documenting what worked (or didn’t). Re-doing the work with AI to see what happened, and asking again, “Did this work?”

So, something that took me WEEKS of hard work, and in some cases I found impossible, was made easy. Like, instead of weeks, it takes 10 minutes. The hard part? Building the prompt to do what I want, fine-tuning it to get the result. But that doesn’t take as long now.

Here’s why it’s so hard to change a culture [Satell] — Pay attention higher ed! [DSC]

On 08/25/2024, in business, business side of he, colleges, community colleges, corporate / business world, culture, higher education, organizational change, United States, universities, workplace, by Daniel Christian

Here’s why it’s so hard to change a culture — from digitaltonto.com by Greg Satell

Excerpt (emphasis DSC):

Lou Gerstner, writing about his legendary turnaround at IBM, said, “Culture isn’t just one aspect of the game, it is the game. In the end, an organization is nothing more than the collective capacity of its people to create value… What does the culture reward and punish – individual achievement or team play, risk taking or consensus building?”

Most business gurus would readily agree with that, but if you’d ask them what culture actually is they would be hard pressed to give a coherent answer. Anthropologists, on the other hand, are much more rigorous in their approach and most would agree that three essential elements of a culture are norms, rituals and behaviors.

In a positive organizational culture, norms and rituals support behaviors that honor the mission of the enterprise. Negative cultures undermine that mission. A common problem with many transformation initiatives is that they focus on designing incentives to alter behaviors. Unfortunately, unless you can shift norms and rituals, nothing is likely to change.

Learning Ecosystems

“How to do school with NotebookLM” [Johnson] + other items re: AI in our LE’s

Walt Disney’s Wisdom: Lessons for Learning & Development Leaders [Kelly]

Should we be concerned about what’s happening at OpenAI? What does this say about the leader of arguably 1 of the most powerful co’s in the world today?

The Rise Of Upskilling And Continuous Learning In A Slow Labor Market [Duchene]

“The top 100 Gen AI Consumer Apps 3rd ed” [Andreessen Horowitz] + several other items re: AI in general

Here’s why it’s so hard to change a culture [Satell] — Pay attention higher ed! [DSC]

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