Sleep No More: Live experiential learning that’s more like an escape room than a classroom — from chieflearningofficer.com by Clare S. Dygert
The time for passive learning is over. Your learners are ready for experiences that resonate, challenge and transform, and they’re looking to you to provide them.

Live experiential learning: ILT as usual?
Is live experiential learning, or LEL, just a surface rebranding of traditional instructor-led training?

Absolutely not. In fact, LEL is as distant from traditional ILT as Sleep No More is from traditional theater.

Instead of sitting politely, nodding along — or nodding off — as an instructor carefully reads aloud from their slide deck, learners roam about, get their hands dirty and focus on the things that matter to them (yes, even if that means they don’t get to every topic or encounter them in the way we would have liked).

In short, LEL has the ability to shake up your learners, in a good way. And when they realize that this isn’t learning as usual, they land in a mental space that makes them more curious and receptive.

So what does this look like, really? And how does it work?


Improving team performance with collaborative problem-solving — from chieflearningofficer.com by
Exercises for improving the way your team communicates, trusts each other, solves problems and makes decisions.

As learning and development leaders, you can create fun, engaging and challenging exercises for teams that develop these important characteristics and improve numerous markers of team efficacy. Exercises to improve team performance should be focused on four themes: negotiation, agreement, coordination and output. In this article, I’ll discuss each type of exercise briefly, then how I use a framework to create challenging and engaging exercises to improve collaborative problem-solving and performance on my teams.


Microlearning Secrets from Marketers: How to Make Learning Stick — from learningguild.com by Danielle Wallace

Marketers have spent billions of dollars testing what works—and their insights can revolutionize microlearning. By borrowing from marketing’s best strategies, L&D professionals can create microlearning that cuts through the noise, engages learners, and drives real behavior change.

If marketing can make people remember a product, L&D can make people remember a skill.

 

DC: I’m not necessarily recommending this, but the next two items point out how the use of agents continues to move forward:

The Future is Here: Visa Announces New Era of Commerce Featuring AI

  • Global leader brings its trusted brand and powerful network to enable payments with new technologies
  • Launches new innovations and partnerships to drive flexibility, security and acceptance

SAN FRANCISCO–(BUSINESS WIRE)–The future of commerce is on display at the Visa Global Product Drop with powerful AI-enabled advancements allowing consumers to find and buy with AI plus the introduction of new strategic partnerships and product innovations.

Also related/see:

Find and Buy with AI: Visa Unveils New Era of Commerce — from businesswire.com

  • Collaborates with Anthropic, IBM, Microsoft, Mistral AI, OpenAI, Perplexity, Samsung, Stripe and more
  • Will make shopping experiences more personal, more secure and more convenient as they become powered by AI

Introduced [on April 30th] at the Visa Global Product Drop, Visa Intelligent Commerce enables AI to find and buy. It is a groundbreaking new initiative that opens Visa’s payment network to the developers and engineers building the foundational AI agents transforming commerce.


AI agents are the new buyers. How can you market to them? — from aiwithallie.beehiiv.com by Allie Miller
You’re optimizing for people. But the next buyers are bots.

In today’s newsletter, I’m unpacking why your next major buyers won’t be people at all. They’ll be AI agents, and your brand might already be invisible to them. We’ll dig into why traditional marketing strategies are breaking down in the age of autonomous AI shoppers, what “AI optimization” (AIO) really means, and the practical steps you can take right now to make sure your business stays visible and competitive as the new digital gatekeepers take over more digital tasks.

AI platforms and AI agents—the digital assistants that browse and actually do things powered by models like GPT-4o, Claude 3.7 Sonnet, and Gemini 2.5 Pro—are increasingly becoming the gatekeepers between your business and potential customers.

“AI is the new front door to your business for millions of consumers.”

The 40-Point (ish) AI Agent Marketing Playbook 
Here’s the longer list. I went ahead and broke these into four categories so you can more easily assign owners: Content, Structure & Design, Technical & Dev, and AI Strategy & Testing. I look forward to seeing how this space, and by extension my advice, changes in the coming months.


Microsoft CEO says up to 30% of the company’s code was written by AI — from techcrunch.com by Maxwell Zeff

During a fireside chat with Meta CEO Mark Zuckerberg at Meta’s LlamaCon conference on Tuesday, Microsoft CEO Satya Nadella said that 20% to 30% of code inside the company’s repositories was “written by software” — meaning AI.


The Top 100Gen AI Consumer Apps — from a16z.com

In just six months, the consumer AI landscape has been redrawn. Some products surged, others stalled, and a few unexpected players rewrote the leaderboard overnight. Deepseek rocketed from obscurity to a leading ChatGPT challenger. AI video models advanced from experimental to fairly dependable (at least for short clips!). And so-called “vibe coding” is changing who can create with AI, not just who can use it. The competition is tighter, the stakes are higher, and the winners aren’t just launching, they’re sticking.

We turned to the data to answer: Which AI apps are people actively using? What’s actually making money, beyond being popular? And which tools are moving beyond curiosity-driven dabbling to become daily staples?

This is the fourth installment of the Top 100 Gen AI Consumer Apps, our bi-annual ranking of the top 50 AI-first web products (by unique monthly visits, per Similarweb) and top 50 AI-first mobile apps (by monthly active users, per Sensor Tower). Since our last report in August 2024, 17 new companies have entered the rankings of top AI-first web products.


Deep Research with AI: 9 Ways to Get Started — from wondertools.substack.com by Jeremy Caplan
Practical strategies for thorough, citation-rich AI research

The AI search landscape is transforming at breakneck speed. New “Deep Research” tools from ChatGPT, Gemini and Perplexity autonomously search and gather information from dozens — even hundreds — of sites, then analyze and synthesize it to produce comprehensive reports. While a human might take days or weeks to produce these 30-page citation-backed reports, AI Deep Research reports are ready in minutes.

What’s in this post

    • Examples of each report type I generated for my research, so you can form your own impressions.
    • Tips on why & how to use Deep Research and how to craft effective queries.
    • Comparison of key features and strengths/limitations of the top platforms

AI Agents Are Here—So Are the Threats: Unit 42 Unveils the Top 10 AI Agent Security Risks — from marktechpost.com

As AI agents transition from experimental systems to production-scale applications, their growing autonomy introduces novel security challenges. In a comprehensive new report, AI Agents Are Here. So Are the Threats,” Palo Alto Networks’ Unit 42 reveals how today’s agentic architectures—despite their innovation—are vulnerable to a wide range of attacks, most of which stem not from the frameworks themselves, but from the way agents are designed, deployed, and connected to external tools.

To evaluate the breadth of these risks, Unit 42 researchers constructed two functionally identical AI agents—one built using CrewAI and the other with AutoGen. Despite architectural differences, both systems exhibited the same vulnerabilities, confirming that the underlying issues are not framework-specific. Instead, the threats arise from misconfigurations, insecure prompt design, and insufficiently hardened tool integrations—issues that transcend implementation choices.


LLMs Can Learn Complex Math from Just One Example: Researchers from University of Washington, Microsoft, and USC Unlock the Power of 1-Shot Reinforcement Learning with Verifiable Reward — from marktechpost.com by Sana Hassan


 

 

Are Entry-Level Jobs Going Away? The Hidden Workforce Shift — from forbes.com by Dr. Diane Hamilton; via Ryan Craig

The problem is that these new roles demand a level of expertise that wasn’t expected from entry-level candidates in the past. Where someone might have previously learned on the job, they are now required to have relevant certifications, AI proficiency, or experience with digital platforms before they even apply.

Some current and emerging job titles that serve as entry points into industries include:

  • Digital marketing associate – This role often involves content creation, social media management, and working with AI-driven analytics tools.
  • Junior AI analyst – Employees in this role assist data science teams by labeling and refining machine learning datasets.
  • Customer success associate – Replacing traditional customer service roles, these professionals help manage AI-enhanced customer support systems.
  • Technical support specialist – While this role still involves troubleshooting software, it now often includes AI-driven diagnostics and automation oversight.
 

The number of 18-year-olds is about to drop sharply, packing a wallop for colleges — and the economy — from hechingerreport.org by Jon Marcus
America is about to go over the ‘demographic cliff’

That’s because the current class of high school seniors is the last before a long decline begins in the number of 18-year-olds — the traditional age of students when they enter college.

This so-called demographic cliff has been predicted ever since Americans started having fewer babies at the advent of the Great Recession around the end of 2007 — a falling birth rate that has not recovered since, except for a slight blip after the Covid-19 pandemic, according to the Centers for Disease Control.

Demographers say it will finally arrive in the fall of this year. That’s when recruiting offices will begin to confront the long-anticipated drop-off in the number of applicants from among the next class of high school seniors.

“A few hundred thousand per year might not sound like a lot,” Strohl said. “But multiply that by a decade and it has a big impact.”

From DSC:
I remember seeing graphics about this demographic cliff over a decade ago…so institutions of traditional higher education have seen this coming for many years now (and the article references this as well). But it’s still important and the ramifications of this could be significant for many colleges and universities out there (for students, faculty, staff, and administrations).

  • Will there be new business models?
  • More lifelong learning models?
  • Additions to the curricula?

I sure hope so.


Higher Ed’s Governance Problem — from chronicle.com by Brian Rosenberg; via Ryan Craig
Boards are bloated and ineffectual.

According to the Association of Governing Boards of Universities and Colleges, the average size of a private nonprofit college or university board is 28 (larger than a major-league baseball roster), though boards of elite colleges tend to skew even larger: closer to 40, according to a study done by McKinsey.

By way of comparison, the average size of the board of directors of a publicly traded company in the United States is nine. If that seems too “corporate,” consider that the average size of the board of a nonprofit health-care institution is 13…

Still, anyone who studies organizational effectiveness would tell you that college and university boards are much too large, as would almost any college or university president when speaking off the record. Getting 12 people to spend significant time studying serious challenges and then reaching consensus about how to tackle those challenges is a heavy lift. Doing this with 25 or 35 or 45 people is close to impossible.


From Google ads to NFL sponsorships: Colleges throw billions at marketing themselves to attract students — from hechingerreport.org by Jon Marcus
Marketing and branding are getting big budgets and advertising is setting new records

In fact, the sum is small compared to what other colleges and universities are investing in advertising, marketing and promotion, which has been steadily rising and is on track this year to be nearly double what it was last year.

Among the reasons are a steep ongoing decline in enrollment, made worse by the pandemic, and increasing competition from online providers and others.

“Private schools in particular are acutely conscious of the demographics in this country. They’re competing for students, and marketing is how you have to do that.”

John Garvey, president, Catholic University


From DSC:
And for you students out there, check this sound advice out!

 

1-800-CHAT-GPT—12 Days of OpenAI: Day 10

Per The Rundown: OpenAI just launched a surprising new way to access ChatGPT — through an old-school 1-800 number & also rolled out a new WhatsApp integration for global users during Day 10 of the company’s livestream event.


How Agentic AI is Revolutionizing Customer Service — from customerthink.com by Devashish Mamgain

Agentic AI represents a significant evolution in artificial intelligence, offering enhanced autonomy and decision-making capabilities beyond traditional AI systems. Unlike conventional AI, which requires human instructions, agentic AI can independently perform complex tasks, adapt to changing environments, and pursue goals with minimal human intervention.

This makes it a powerful tool across various industries, especially in the customer service function. To understand it better, let’s compare AI Agents with non-AI agents.

Characteristics of Agentic AI

    • Autonomy: Achieves complex objectives without requiring human collaboration.
    • Language Comprehension: Understands nuanced human speech and text effectively.
    • Rationality: Makes informed, contextual decisions using advanced reasoning engines.
    • Adaptation: Adjusts plans and goals in dynamic situations.
    • Workflow Optimization: Streamlines and organizes business workflows with minimal oversight.

Clio: A system for privacy-preserving insights into real-world AI use — from anthropic.com

How, then, can we research and observe how our systems are used while rigorously maintaining user privacy?

Claude insights and observations, or “Clio,” is our attempt to answer this question. Clio is an automated analysis tool that enables privacy-preserving analysis of real-world language model use. It gives us insights into the day-to-day uses of claude.ai in a way that’s analogous to tools like Google Trends. It’s also already helping us improve our safety measures. In this post—which accompanies a full research paper—we describe Clio and some of its initial results.


Evolving tools redefine AI video — from heatherbcooper.substack.com by Heather Cooper
Google’s Veo 2, Kling 1.6, Pika 2.0 & more

AI video continues to surpass expectations
The AI video generation space has evolved dramatically in recent weeks, with several major players introducing groundbreaking tools.

Here’s a comprehensive look at the current landscape:

  • Veo 2…
  • Pika 2.0…
  • Runway’s Gen-3…
  • Luma AI Dream Machine…
  • Hailuo’s MiniMax…
  • OpenAI’s Sora…
  • Hunyuan Video by Tencent…

There are several other video models and platforms, including …

 

Where to start with AI agents: An introduction for COOs — from fortune.com by Ganesh Ayyar

Picture your enterprise as a living ecosystem, where surging market demand instantly informs staffing decisions, where a new vendor’s onboarding optimizes your emissions metrics, where rising customer engagement reveals product opportunities. Now imagine if your systems could see these connections too! This is the promise of AI agents — an intelligent network that thinks, learns, and works across your entire enterprise.

Today, organizations operate in artificial silos. Tomorrow, they could be fluid and responsive. The transformation has already begun. The question is: will your company lead it?

The journey to agent-enabled operations starts with clarity on business objectives. Leaders should begin by mapping their business’s critical processes. The most pressing opportunities often lie where cross-functional handoffs create friction or where high-value activities are slowed by system fragmentation. These pain points become the natural starting points for your agent deployment strategy.


Create podcasts in minutes — from elevenlabs.io by Eleven Labs
Now anyone can be a podcast producer


Top AI tools for business — from theneuron.ai


This week in AI: 3D from images, video tools, and more — from heatherbcooper.substack.com by Heather Cooper
From 3D worlds to consistent characters, explore this week’s AI trends

Another busy AI news week, so I organized it into categories:

  • Image to 3D
  • AI Video
  • AI Image Models & Tools
  • AI Assistants / LLMs
  • AI Creative Workflow: Luma AI Boards

Want to speak Italian? Microsoft AI can make it sound like you do. — this is a gifted article from The Washington Post;
A new AI-powered interpreter is expected to simulate speakers’ voices in different languages during Microsoft Teams meetings.

Artificial intelligence has already proved that it can sound like a human, impersonate individuals and even produce recordings of someone speaking different languages. Now, a new feature from Microsoft will allow video meeting attendees to hear speakers “talk” in a different language with help from AI.


What Is Agentic AI?  — from blogs.nvidia.com by Erik Pounds
Agentic AI uses sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems.

The next frontier of artificial intelligence is agentic AI, which uses sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems. And it’s set to enhance productivity and operations across industries.

Agentic AI systems ingest vast amounts of data from multiple sources to independently analyze challenges, develop strategies and execute tasks like supply chain optimization, cybersecurity vulnerability analysis and helping doctors with time-consuming tasks.


 

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.

 

 

Per the Rundown AI:

Why it matters: AI is slowly shifting from a tool we text/prompt with, to an intelligence that we collaborate, learn, and grow with. Advanced Voice Mode’s ability to understand and respond to emotions in real-time convos could also have huge use cases in everything from customer service to mental health support.

Also relevant/see:


Creators to Have Personalized AI Assistants, Meta CEO Mark Zuckerberg Tells NVIDIA CEO Jensen Huang — from blogs.nvidia.com by Brian Caulfield
Zuckerberg and Huang explore the transformative potential of open source AI, the launch of AI Studio, and exchange leather jackets at SIGGRAPH 2024.

“Every single restaurant, every single website will probably, in the future, have these AIs …” Huang said.

“…just like every business has an email address and a website and a social media account, I think, in the future, every business is going to have an AI,” Zuckerberg responded.

More broadly, the advancement of AI across a broad ecosystem promises to supercharge human productivity, for example, by giving every human on earth a digital assistant — or assistants — allowing people to live richer lives that they can interact with quickly and fluidly.

Also related/see:


From DSC:
Today was a MUCH better day for Nvidia however (up 12.81%). But it’s been very volatile in the last several weeks — as people and institutions ask where the ROI’s are going to come from.






9 compelling reasons to learn how to use AI Chatbots — from interestingengineering.com by Atharva Gosavi
AI Chatbots are conversational agents that can act on your behalf and converse with humans – a futuristic novelty that is already getting people excited about its usage in improving efficiency.

7. Accessibility and inclusivity
Chatbots can be designed to support multiple languages and accessibility needs, making services more inclusive. They can cater to users with disabilities by providing voice interaction capabilities and simplifying access to information. Understanding how to develop inclusive chatbots can help you contribute to making technology more accessible to everyone, a crucial aspect in today’s diverse society.

8. Future-proofing your skills
AI and automation are the future of work. Having the skills of building AI chatbots is a great way to future-proof your skills, and given the rising trajectory of AI, it’ll be a demanding skill in the market in the years to come. Staying ahead of technological trends is a great way to ensure you remain relevant and competitive in the job market.


Top 7 generative AI use cases for business — from cio.com by Grant Gross
Advanced chatbots, digital assistants, and coding helpers seem to be some of the sweet spots for gen AI use so far in business.

Many AI experts say the current use cases for generative AI are just the tip of the iceberg. More uses cases will present themselves as gen AIs get more powerful and users get more creative with their experiments.

However, a handful of gen AI use cases are already bubbling up. Here’s a look at the most popular and promising.

 


Microsoft’s new ChatGPT competitor… — from The Rundown AI

The Rundown: Microsoft is reportedly developing a massive 500B parameter in-house LLM called MAI-1, aiming to compete with top AI models from OpenAI, Anthropic, and Google.


2024 | The AI Founder Report | Business Impact, Use cases, & Tools — from Hampton; via The Neuron

Hampton runs a private community for high-growth tech founders and CEOs. We asked our community of founders and owners how AI has impacted their business and what tools they use

Here’s a sneak peek of what’s inside:

  • The budgets they set aside for AI research and development
  • The most common (and obscure) tools founders are using
  • Measurable business impacts founders have seen through using AI
  • Where they are purposefully not using AI and much more

2024 Work Trend Index Annual Report from Microsoft and LinkedIn
AI at Work Is Here. Now Comes the Hard Part Employees want AI, leaders are looking for a path forward.

Also relevant, see Microsoft’s web page on this effort:

To help leaders and organizations overcome AI inertia, Microsoft and LinkedIn looked at how AI will reshape work and the labor market broadly, surveying 31,000 people across 31 countries, identifying labor and hiring trends from LinkedIn, and analyzing trillions of Microsoft 365 productivity signals as well as research with Fortune 500 customers. The data points to insights every leader and professional needs to know—and actions they can take—when it comes to AI’s implications for work.

 

Where to Submit Your Work: A Curated List of Websites that Feature Art + Illustration — from booooooom.com

So you’ve just completed your latest creative project or maybe you’ve been building up your portfolio for a while and finally feel ready to share, what next? It’s important to be confident and put yourself out there, but let’s first talk about what all this process entails in order to make the most of your time and energy.

This comprehensive guide includes a collection of websites and magazines that currently accept art and illustration submissions. Plus we’ll cover how and what to prepare before you start submitting to help you improve the quality of your submissions and give you a sense of what to expect throughout the entire process!

 

 


7 Ways the Internet Will Get Weirder — from digitalnative.tech by Rex Woodbury

Excerpt (emphasis DSC):

This week on the Midjourney subreddit, a user named Theblasian35 wrote: “Made an Adidas AI spec commercial during my coffee break.”

Specifics on how it was made aside, the video gets at something bigger: we now live in a world where someone can fairly easily spin up a gorgeous, professional-grade commercial—all using affordable, accessible, intuitive online tools. What does this mean for multi-million-dollar ad budgets?

From DSC:
Like someone said, that must have been the world’s longest coffee break.  🙂

 

From DSC:
Wouldn’t it be nice to be able to gift someone an article or access to a particular learning module? This would be the case whether you are a subscriber to that vendor/service or not. I thought about this after seeing the following email from MLive.com.
.

MLive.com's gift an article promotion from December 2023; one must be a subscriber though to gift an article

.

Not only is this a brilliant marketing move — as recipients can get an idea of the services/value offered — but it can provide concrete information to someone.

Perhaps colleges and universities should take this idea and run with it. They could gift courses and/or individual lectures! Doing so could open up some new revenue streams, aid adult learners in their lifelong learning pathways, and help people build new skills — all while helping market the colleges and universities. Involved faculty/staff members could get a percentage of the sales. Sounds like a WIN-WIN to me.

 

Nearly half of CEOs believe that AI not only could—but should—replace their own jobs — from finance.yahoo.com by Orianna Rosa Royle; via Harsh Makadia

Researchers from edX, an education platform for upskilling workers, conducted a survey involving over 1,500 executives and knowledge workers. The findings revealed that nearly half of CEOs believe AI could potentially replace “most” or even all aspects of their own positions.

What’s even more intriguing is that 47% of the surveyed executives not only see the possibility of AI taking over their roles but also view it as a desirable development.

Why? Because they anticipate that AI could rekindle the need for traditional leadership for those who remain.

“Success in the CEO role hinges on effective leadership, and AI can liberate time for this crucial aspect of their role,” Andy Morgan, Head of edX for Business comments on the findings.

“CEOs understand that time saved on routine tasks can stimulate innovation, nurture creativity, and facilitate essential upskilling for their teams, fostering both individual and organizational success,” he adds.

But CEOs already know this: EdX’s research echoed that 79% of executives fear that if they don’t learn how to use AI, they’ll be unprepared for the future of work.

From DSC:
By the way, my first knee-jerk reaction to this was:

WHAT?!?!?!? And this from people who earn WAAAAY more than the average employee, no doubt.

After a chance to calm down a bit, I see that the article does say that CEOs aren’t going anywhere. Ah…ok…got it.


Strange Ways AI Disrupts Business Models, What’s Next For Creativity & Marketing, Some Provocative Data — from .implications.com by Scott Belsky
In this edition, we explore some of the more peculiar ways that AI may change business models as well as recent releases for the world of creativity and marketing.

Time-based business models are liable for disruption via a value-based overhaul of compensation. Today, as most designers, lawyers, and many trades in between continue to charge by the hour, the AL-powered step-function improvements in workflows are liable to shake things up.

In such a world, time-based billing simply won’t work anymore unless the value derived from these services is also compressed by a multiple (unlikely). The classic time-based model of billing for lawyers, designers, consultants, freelancers etc is officially antiquated. So, how might the value be captured in a future where we no longer bill by the hour? …

The worlds of creativity and marketing are rapidly changing – and rapidly coming together

#AI #businessmodels #lawyers #billablehour

It becomes clear that just prompting to get images is a rather elementary use case of AI, compared to the ability to place and move objects, change perspective, adjust lighting, and many other actions using AI.



AlphaFold DB provides open access to over 200 million protein structure predictions to accelerate scientific research. — from

AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment.


After 25 years of growth for the $68 billion SEO industry, here’s how Google and other tech firms could render it extinct with AI — from fortune.com by Ravi Sen and The Conversation

But one other consequence is that I believe it may destroy the $68 billion search engine optimization industry that companies like Google helped create.

For the past 25 years or so, websites, news outlets, blogs and many others with a URL that wanted to get attention have used search engine optimization, or SEO, to “convince” search engines to share their content as high as possible in the results they provide to readers. This has helped drive traffic to their sites and has also spawned an industry of consultants and marketers who advise on how best to do that.

As an associate professor of information and operations management, I study the economics of e-commerce. I believe the growing use of generative AI will likely make all of that obsolete.


ChatGPT Plus members can upload and analyze files in the latest beta — from theverge.com by Wes Davis
ChatGPT Plus members can also use modes like Browse with Bing without manually switching, letting the chatbot decide when to use them.

OpenAI is rolling out new beta features for ChatGPT Plus members right now. Subscribers have reported that the update includes the ability to upload files and work with them, as well as multimodal support. Basically, users won’t have to select modes like Browse with Bing from the GPT-4 dropdown — it will instead guess what they want based on context.


Google agrees to invest up to $2 billion in OpenAI rival Anthropic — from reuters.com by Krystal Hu

Oct 27 (Reuters) – Alphabet’s (GOOGL.O) Google has agreed to invest up to $2 billion in the artificial intelligence company Anthropic, a spokesperson for the startup said on Friday.

The company has invested $500 million upfront into the OpenAI rival and agreed to add $1.5 billion more over time, the spokesperson said.

Google is already an investor in Anthropic, and the fresh investment would underscore a ramp-up in its efforts to better compete with Microsoft (MSFT.O), a major backer of ChatGPT creator OpenAI, as Big Tech companies race to infuse AI into their applications.


 

 


Gen-AI Movie Trailer For Sci Fi Epic “Genesis” — from forbes.com by Charlie Fink

The movie trailer for “Genesis,” created with AI, is so convincing it caused a stir on Twitter [on July 27]. That’s how I found out about it. Created by Nicolas Neubert, a senior product designer who works for Elli by Volkswagen in Germany, the “Genesis” trailer promotes a dystopian sci-fi epic reminiscent of the Terminator. There is no movie, of course, only the trailer exists, but this is neither a gag nor a parody. It’s in a class of its own. Eerily made by man, but not.



Google’s water use is soaring. AI is only going to make it worse. — from businessinsider.com by Hugh Langley

Google just published its 2023 environmental report, and one thing is for certain: The company’s water use is soaring.

The internet giant said it consumed 5.6 billion gallons of water in 2022, the equivalent of 37 golf courses. Most of that — 5.2 billion gallons — was used for the company’s data centers, a 20% increase on the amount Google reported the year prior.


We think prompt engineering (learning to converse with an AI) is overrated. — from the Neuron

We think prompt engineering (learning to converse with an AI) is overrated. Yup, we said it. We think the future of chat interfaces will be a combination of preloading context and then allowing AI to guide you to the information you seek.

From DSC:
Agreed. I think we’ll see a lot more interface updates and changes to make things easier to use, find, develop.


Radar Trends to Watch: August 2023 — from oreilly.com by Mike Loukides
Developments in Programming, Web, Security, and More

Artificial Intelligence continues to dominate the news. In the past month, we’ve seen a number of major updates to language models: Claude 2, with its 100,000 token context limit; LLaMA 2, with (relatively) liberal restrictions on use; and Stable Diffusion XL, a significantly more capable version of Stable Diffusion. Does Claude 2’s huge context really change what the model can do? And what role will open access and open source language models have as commercial applications develop?


Try out Google ‘TextFX’ and its 10 creative AI tools for rappers, writers — from 9to5google.com by Abner Li; via Barsee – AI Valley 

Google Lab Sessions are collaborations between “visionaries from all realms of human endeavor” and the company’s latest AI technology. [On 8/2/23], Google released TextFX as an “experiment to demonstrate how generative language technologies can empower the creativity and workflows of artists and creators” with Lupe Fiasco.

Google’s TextFX includes 10 tools and is powered by the PaLM 2 large language model via the PALM API. Meant to aid in the creative process of rappers, writers, and other wordsmiths, it is part of Google Labs.

 

From DSC:
I don’t know anything about Jack Harlow. I just liked the idea of the NBA using AI to market the playoffs! I find this piece to be clever and creative. I’m sure we’ll be seeing a lot more of this kind of thing in the future. 

 
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