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This is daring greatly

When we spend our lives waiting until we're perfect or bulletproof before we walk into the arena, we ultimately sacrifice relationships and opportunities that may not be recoverable, we squander our precious time, and we turn our backs on our gifts, those unique contributions that only we can make.

We must walk into the arena, whatever it may be—a new relationship, an important meeting, our creative process, or a difficult family conversation—with courage and a willingness to engage. Rather than sitting on the sidelines and hurling judgment and advice, we must dare to show up and let ourselves be seen.  This is vulnerability. This is daring greatly.

Brené Brown, Daring Greatly

GoLaxy AI

Generative AI is making it exponentially easier for China to create believable, engaging content. GoLaxy — which operates in close alignment with the Chinese government's interests — appears to be tapping generative AI to mine social media profiles and create content that "feels authentic, adapts in real-time and avoids detection. "Documents show that GoLaxy has created profiles for at least 117 members of Congress and over 2,000 American political figures and thought leaders. -Axios

AI's impact on the job search by college grads

"Recent history grads have a lower unemployment rate (4.6 percent) than recent computer science grads (6.1 percent), according to the New York Federal Reserve Bank. History is one of the most popular college majors among congressional staff members, and historians find work in some surprising places, such as the National Security Agency and the American Girl doll company." -Washington Post

Businesses Racing to Adopt AI: Speed without Control

If you don’t take steps now to centralize AI strategy, you’ll be left with a patchwork of disconnected tools, uncontrolled costs, and compliance nightmares. The winners in this era won’t be the ones who adopt AI fast, they’ll be the ones who adopt it wisely. Shadow AI isn’t going away; it’s going to accelerate as AI becomes embedded. -Unite AI

18 Articles about how AI is Affecting Jobs

AI Definitions: Shadow AI

Shadow AI - Generative AI use inside organizations without the approval or supervision of IT. While not typically malicious, it creates risks that can grow over time. For instance, customer data might end up being stored in a third-party AI’s training environment or proprietary code might be copy and pasted into an AI code assistant to debug an issue.

More AI definitions here

When you plan for Italy but Land in Holland

It’s like planning a fabulous vacation trip - to Italy. You buy a bunch of guide books and make your wonderful plans. The Coliseum. The Michelangelo David. The gondolas in Venice. You may learn some handy phrases in Italian. It's all very exciting. After months of eager anticipation, the day finally arrives. You pack your bags and off you go. Several hours later, the plane lands. The stewardess comes in and says, "Welcome to Holland."

"Holland?!?" you say. "What do you mean Holland?? I signed up for Italy! I'm supposed to be in Italy. All my life I've dreamed of going to Italy."

But there's been a change in the flight plan. They've landed in Holland and there you must stay.

The important thing is that they haven't taken you to a horrible, disgusting, filthy place, full of pestilence, famine and disease. It's just a different place. So you must go out and buy new guide books. And you must learn a whole new language. And you will meet a whole new group of people you would never have met. It's just a different place. It's slower-paced than Italy, less flashy than Italy. But after you've been there for a while and you catch your breath, you look around.... and you begin to notice that Holland has windmills....and Holland has tulips. Holland even has Rembrandts.

But everyone you know is busy coming and going from Italy... and they're all bragging about what a wonderful time they had there. And for the rest of your life, you will say "Yes, that's where I was supposed to go. That's what I had planned."

And the pain of that will never, ever, ever, ever go away... because the loss of that dream is a very very significant loss.

But... if you spend your life mourning the fact that you didn't get to Italy, you may never be free to enjoy the very special, the very lovely things ... about Holland.

Emily Perl Kingsley

How AI could help prevent languages from disappearing

I’m fascinated by how AI could help prevent languages from disappearing entirely. Most TTS development focuses on major languages with massive datasets, but there are over 7,000 languages worldwide, and many are at risk of extinction. What excites me is the potential for AI to create voice synthesis for languages that might only have a few hundred speakers left. This is technology serving humanity and cultural preservation at its best! When a language dies, we lose unique ways of thinking about the world, specific knowledge systems, and cultural memory that can’t be translated. -Claudia Ng writing in Toward Data Science

Be Prepared to Walk Away

Your foot is on the gas, professionally. Living by your wits—by your fluid intelligence—you seek the material rewards of success, you attain a lot of them, and you are deeply attached to them. You should be prepared to walk away from these rewards before you feel ready. Even if you’re at the height of your professional prestige, you probably need to scale back your career ambitions in order to scale up your metaphysical ones. 

Arthur C. Brooks writing in The Atlantic

Outsourcing your Thinking

The use of AI includes the danger of the illusion of competence. 

One of the impacts of AI on learning is cognitive offloading (letting it do mindless tasks for you).

But when what’s offloaded is important, the result is cognitive debt, an overreliance on outside sources replacing our own thinking. This makes AI a great way to produce the appearance of learning while masking the costs to those who use it.

More: Chronicle of Higher Ed

Define Success Upfront

Before implementing AI solutions, define success upfront: “I insist on quantifiable metrics like time savings, quality improvements, or revenue increases. If we can’t measure it, we can’t prove it worked. This prevents scope creep and ensures we’re solving real problems, not just building cool technology. AI isn’t always the answer, but when it is, we know exactly why we’re using it and what success looks like.” -Claudia Ng in Toward Data Science