business

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

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

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

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

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

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

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

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

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

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

Why Kindness at Work Pays Off [Swinand]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Do innovative growers perform better than others?

In a word, yes.

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

Also see:

The eight essentials of innovation — from mckinsey.com by

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

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

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

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

I’m genuinely blown away by this.

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

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

The thought… pic.twitter.com/x79WEeY1iq

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

It’s only been 11 hours since OpenAI Dev Day

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

Including AI Sports narrator and website roaster.

? Thread below

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

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

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

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

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

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

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

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

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

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

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

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

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

? OpenAI just dropped a HUGE update.

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

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

— Barsee ? (@heyBarsee) November 7, 2023

Upskilling Workers to Match Workforce Demands [Koch]

On 11/02/2023, in adult learning, Artificial Intelligence/Agents/LLMs/and Related, business, competency-based learning/education, corporate / business world, emerging technologies, skills, training / L&D, workplace, by Daniel Christian

Upskilling Workers to Match Workforce Demands — from learningguild.com by Brad Koch

If the rapid adoption of artificial intelligence by the general public in 2023 has taught us anything, it’s that much of the world is growing more comfortable with this technology and businesses will soon follow in individuals’ footsteps. The World Economic Forum’s Future of Jobs Report 2023 published earlier this year reinforces the trend: More than 75% of companies are looking to adopt big data, cloud computing, and AI in the next five years.

At the same time, the report notes that 44% of workers’ core skills are expected to change in the next five years. Not only will workplaces need to equip their employees with the necessary skills to use the technologies being implemented, but they will also need to make sure employees have the skills to fill the roles that artificial intelligence cannot. Here’s how companies can prepare their workers for shifting demands in the next five years.

Expand industry-relevant training and partnerships with educational institutions

Also from learningguild.com, see:

Two L&D Trends to Follow: Personalization & Social Learning — by Pamela Hogle

Accenture Life Trends 2024 [accenture.com]

On 11/02/2023, in Artificial Intelligence/Agents/LLMs/and Related, business, change, corporate / business world, creativity, society, technology (general), trends, United States, workplace, by Daniel Christian

Accenture Life Trends 2024 — from accenture.com; via Mr. Bob Raidt on LinkedIn
The visible and invisible mediators between people and their world are changing.

In brief

The harmony between people, tech and business is showing tensions, and society is in flux.
Five trends explore the decline of customer obsession, the influence of generative AI, the stagnation of creativity, the balance of tech benefits and burden, and people’s new life goals.
Opportunity abounds for business and brands in the coming twelve months and beyond – read Accenture Life Trends 2024 to find out more.

5 Trends

01 Where’s the love?
Necessary cuts across enterprises have shunted customer obsession down the priority list—and customers are noticing.
02 The great interface shift
Generative AI is upgrading people’s experience of the internet from transactional to personal, enabling them to feel more digitally understood and relevant than ever.
03 Meh-diocrity
Creativity was once about the audience, but has become dependent on playing the tech system. Is this what creative stagnation feels like?
04 Error 429: Human request limit reached
Technology feels like it’s happening to people rather than for them—is a shift beginning, where they regain agency over its influence on daily life?
05 Decade of deconstruction
Traditional life paths are being rerouted by new limitations, necessities and opportunities, significantly shifting demographics.

“Shocking AI Statistics in 2023” [Makadia] + other items re: AI

On 11/01/2023, in 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), business, computer science, corporate / business world, data related items, emerging technologies, productivity / tips and tricks, professional development, psychology, society, the downsides of how people use tech, tools, trends, vendors, by Daniel Christian

Shocking AI Statistics in 2023 — from techthatmatters.beehiiv.com by Harsh Makadia

Chat GPT reached 100 million users faster than any other app. By February 2023, the chat.openai.com website saw an average of 25 million daily visitors. How can this rise in AI usage benefit your business’s function?
45% of executives say the popularity of ChatGPT has led them to increase investment in AI. If executives are investing in AI personally, then how will their beliefs affect corporate investment in AI to drive automation further? Also, how will this affect the amount of workers hired to manage AI systems within companies?
eMarketer predicts that in 2024 at least 20% of Americans will use ChatGPT monthly and that a fifth of them are 25-34 year olds in the workforce. Does this mean that there are more young workers using AI?
…plus 10 more stats

People are speaking with ChatGPT for hours, bringing 2013’s Her closer to reality — from arstechnica.com by Benj Edwards
Long mobile conversations with the AI assistant using AirPods echo the sci-fi film.

It turns out that Willison’s experience is far from unique. Others have been spending hours talking to ChatGPT using its voice recognition and voice synthesis features, sometimes through car connections. The realistic nature of the voice interaction feels largely effortless, but it’s not flawless. Sometimes, it has trouble in noisy environments, and there can be a pause between statements. But the way the ChatGPT voices simulate vocal ticks and noises feels very human. “I’ve been using the voice function since yesterday and noticed that it makes breathing sounds when it speaks,” said one Reddit user. “It takes a deep breath before starting a sentence. And today, actually a minute ago, it coughed between words while answering my questions.”

From DSC:
Hmmmmmmm….I’m not liking the sound of this on my initial take of it. But perhaps there are some real positives to this. I need to keep an open mind.

Working with AI: Two paths to prompting — from oneusefulthing.org by Ethan Mollick
Don’t overcomplicate things

Conversational Prompting [From DSC: i.e., keep it simple]
Structured Prompting

For most people, [Conversational Prompting] is good enough to get started, and it is the technique I use most of the time when working with AI. Don’t overcomplicate things, just interact with the system and see what happens. After you have some experience, however, you may decide that you want to create prompts you can share with others, prompts that incorporate your expertise. We call this approach Structured Prompting, and, while improving AIs may make it irrelevant soon, it is currently a useful tool for helping others by encoding your knowledge into a prompt that anyone can use.

These fake images reveal how AI amplifies our worst stereotypes — from washingtonpost.com by Nitasha Tiku, Kevin Schaul, and Szu Yu Chen (behind paywall)
AI image generators like Stable Diffusion and DALL-E amplify bias in gender and race, despite efforts to detoxify the data fueling these results.

Artificial intelligence image tools have a tendency to spin up disturbing clichés: Asian women are hypersexual. Africans are primitive. Europeans are worldly. Leaders are men. Prisoners are Black.

These stereotypes don’t reflect the real world; they stem from the data that trains the technology. Grabbed from the internet, these troves can be toxic — rife with pornography, misogyny, violence and bigotry.

Abeba Birhane, senior advisor for AI accountability at the Mozilla Foundation, contends that the tools can be improved if companies work hard to improve the data — an outcome she considers unlikely. In the meantime, the impact of these stereotypes will fall most heavily on the same communities harmed during the social media era, she said, adding: “People at the margins of society are continually excluded.”

ChatGPT app revenue shows no signs of slowing, but some other AI apps top it — from techcrunch.com by Sarah Perez; Via AI Valley – Barsee

ChatGPT, the AI-powered chatbot from OpenAI, far outpaces all other AI chatbot apps on mobile devices in terms of downloads and is a market leader by revenue, as well. However, it’s surprisingly not the top AI app by revenue — several photo AI apps and even other AI chatbots are actually making more money than ChatGPT, despite the latter having become a household name for an AI chat experience.

ChatGPT can now analyze files you upload to it without a plugin — from bgr.com by Joshua Hawkins; via Superhuman

According to new reports, OpenAI has begun rolling out a more streamlined approach to how people use ChatGPT. The new system will allow the AI to choose a model automatically, letting you run Python code, open a web browser, or generate images with DALL-E without extra interaction. Additionally, ChatGPT will now let you upload and analyze files.

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.

Huge new updates to ChatGPT / GPT-4.

1. Upload and chat with any PDF document
2. Use tools without switching chats

Here’s everything you need to know and my thoughts: pic.twitter.com/ESFt7bpGyy

— Rowan Cheung (@rowancheung) October 29, 2023

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.

IBM Commits to Train 2 Million AI Learners for Free by 2026 [Lucariello] + “Teaching with AI is hard.” [Gulya]

On 10/16/2023, in Artificial Intelligence/Agents/LLMs/and Related, business, corporate / business world, emerging technologies, experimentation, IBM, personalized/customized learning, training / L&D, United States, vendors, workplace, by Daniel Christian

IBM Commits to Train 2 Million AI Learners for Free by 2026 — from campustechnology.com by Kate Lucariello

As part of the 2023 78th General Assembly of the United Nations, IBM announced it will train, for free, 2 million learners in artificial intelligence worldwide within the next three years, building on its existing commitment to skill 30 million learners by 2030.

The free program, called IBM SkillsBuild, will use its career-building platforms to partner with universities around the world to develop and make available new generative AI courses, with a significant focus on adult learners in underrepresented communities.

Goldman Sachs CIO is ‘anxious to see results’ from GenAI, but moving carefully — from venturebeat.com by Sharon Goldman

Consider Marco Argenti, CIO at Goldman Sachs — who told me in a recent interview that the leading global investment banking, securities and investment management firm has, nearly a year after ChatGPT was released, put exactly zero generative AI use cases into production. Instead, the company is “deeply into experimentation” and has a “high bar” of expectation before deployment. Certainly this is a highly-regulated company, so careful deployment must always be the norm. But Goldman Sachs is also far from new to implementing AI-driven tools — but is still treading slowly and carefully.

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

Imagine A World Where…

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

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

Also per Melanie Booth, see:

Research Reveals Growing Demand to Connect Academic Learning to Careers — from campustechnology.com Kristal Kuykendall
Skills-Based Learning, Certifications, Apprenticeships Top Priorities for Students, Global Survey Shows
.
State of Student Success and Engagement in Higher Education — from instructure.com

WHAT WAS GARY MARCUS THINKING, IN THAT INTERVIEW WITH GEOFF HINTON? — from linkedin.com by Stephen Downes

Background (emphasis DSC): 60 Minutes did an interview with ‘the Godfather of AI’, Geoffrey Hinton. In response, Gary Marcus wrote a column in which he inserted his own set of responses into the transcript, as though he were a panel participant. Neat idea. So, of course, I’m stealing it, and in what follows, I insert my own comments as I join the 60 Minutes panel with Geoffrey Hinton and Gary Marcus.

Usually I put everyone else’s text in italics, but for this post I’ll put it all in normal font, to keep the format consistent.

OpenAI’s Revenue Skyrockets to $1.3 Billion Annualized Rate — from maginative.com by Chris McKay
This means the company is generating over $100 million per month—a 30% increase from just this past summer.

OpenAI, the company behind the viral conversational AI ChatGPT, is experiencing explosive revenue growth. The Information reports that CEO Sam Altman told the staff this week that OpenAI’s revenue is now crossing $1.3 billion on an annualized basis. This means the company is generating over $100 million per month—a 30% increase from just this past summer.

Since the launch of a paid version of ChatGPT in February, OpenAI’s financial growth has been nothing short of meteoric. Additionally, in August, the company announced the launch of ChatGPT Enterprise, a commercial version of its popular conversational AI chatbot aimed at business users.

For comparison, OpenAI’s total revenue for all of 2022 was just $28 million. The launch of ChatGPT has turbocharged OpenAI’s business, positioning it as a bellwether for demand for generative AI.

The State of AI Report 2023 is live!

Check it out here to learn about key AI developments in research, industry, politics, safety, and predictions for what’s next.

Produced by @nathanbenaich and @airstreet team. #stateofai @stateofaireport https://t.co/pkTPwbrI5f

— Daniel Christian (he/him/his) (@dchristian5) October 15, 2023

From 10/13:

Insane amounts of AI news came out this week (most of it from Adobe).

Here are the timestamps from this video just to give you an idea:

0:00 Intro
0:40 Firefly Image 2
0:53 Adobe Premiere AI Updates
1:17 Adobe Text-To-Vector
3:37 Project Fast Fill
4:46 Project Draw and Delight… pic.twitter.com/tWzyA788yH

— Matt Wolfe (@mreflow) October 13, 2023

New ways to get inspired with generative AI in Search — from blog.google
We’re testing new ways to get more done right from Search, like the ability to generate imagery with AI or creating the first draft of something you need to write.

Creating an ‘ecosystem’ to close the Black talent gap in technology — from mckinsey.com (emphasis below from DSC)

Chris Perkins, associate partner, McKinsey: Promoting diversity in tech is more nuanced than driving traditional diversity initiatives. This is primarily because of the specialized hard and soft skills required to enter tech-oriented professions and succeed throughout their careers. Our research shows us that various actors, such as nonprofits, for-profits, government agencies, and educational institutions are approaching the problem in small pockets. Could we help catalyze an ecosystem with wraparound support across sectors?

To design this, we have to look at the full pipeline and its “leakage” points, from getting talent trained and in the door all the way up to the C-suite. These gaps are caused by lack of awareness and support in early childhood education through college, and lack of sponsorship and mentorship in early- and mid- career positions.

Everyday Media Literacy: An Analog Guide for Your Digital Life — from routledge.com by Sue Ellen Christian

In this second edition, award-winning educator Sue Ellen Christian offers students an accessible and informed guide to how they can consume and create media intentionally and critically.

The textbook applies media literacy principles and critical thinking to the key issues facing young adults today, from analyzing and creating media messages to verifying information and understanding online privacy. Through discussion prompts, writing exercises, key terms, and links, readers are provided with a framework from which to critically consume and create media in their everyday lives. This new edition includes updates covering privacy aspects of AI, VR and the metaverse, and a new chapter on digital audiences, gaming, and the creative and often unpaid labor of social media and influencers. Chapters examine news literacy, online activism, digital inequality, social media and identity, and global media corporations, giving readers a nuanced understanding of the key concepts at the core of media literacy. Concise, creative, and curated, this book highlights the cultural, political, and economic dynamics of media in contemporary society, and how consumers can mindfully navigate their daily media use.

This textbook is perfect for students and educators of media literacy, journalism, and education looking to build their understanding in an engaging way.

Learning Ecosystems

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

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

Why Kindness at Work Pays Off [Swinand]

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

The Learning & Employment Records (LER) Ecosystem Map

Creating an ‘ecosystem’ to close the Black talent gap in technology [McKinsey]

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