Google researchers are fighting the company to tell the world what they know about AI — from washingtonpost.com by Gerrit De Vynck
Employment contracts deter staff from warning the public about AI risks, current workers said.

Workers inside Google’s artificial intelligence division are pushing executives to release them from non-disparagement agreements, arguing that they must be free to inform the public about the risks of the technology they are working to advance, according to people inside the company.
…
The non-disparagement agreements signed by employees in Britain block them from communicating with the public about the potential impacts of AI, the two current Google workers said. While company officials are now saying that they will not go after former employees who speak out, some staffers are pushing for updated language in existing contracts to provide them with legal certainty.

 

LEGAL FUTURISMS: Why Don’t Nonprofits Have Legal Innovation Experts? — from linkedin.com by Sateesh Nori

According to the New York Times, the “hot new job” in legal is in legal innovation. Elite corporate law firms and tech giants are aggressively bidding up to $300,000 for “legal engineers” and “innovation attorneys” to optimize corporate workflows and deploy generative AI.

Meanwhile, America’s civil legal aid and nonprofit sector faces a starkly different reality.

In public interest law, attorneys are drowning in a compounding crisis. A single legal aid lawyer often juggles hundreds of active cases at once—ranging from illegal evictions to life-altering immigration hearings—while relying on legacy software, manual document assembly, and underfunded back-offices.

Why is it that the sector that serves the people with the most urgent legal needs has the least amount of structural technology infrastructure to support it?

If the nonprofit sector continues to treat technology as an afterthought—a secondary luxury funded by leftover scraps—the justice gap will become an unbridgeable chasm. By embracing the BigLaw model and formalizing the role of the legal innovation expert, public interest organizations can transition from a state of perpetual triage to a system of scalable, tech-empowered justice.

The tools to fix the system exist. What the nonprofit sector needs now is the structural mandate—and the funding courage—to hire the architects who can build it.

 

Massive crypto hack probably the largest theft of digital currencies in history — from washingtonpost.com by Miriam Waldvogel; this is a gifted article
Binance said that $6.3 billion in user funds had been affected in the incident.

Binance, the world’s largest cryptocurrency exchange, said late Thursday [10/29/26] that $6.3 billion in user funds had been affected by an attacker in what appears to be by far the largest theft of digital currencies in history.

The company, which allows users to trade cryptocurrencies and other digital assets, said around $3 billion had been frozen by various partners so far. Binance initially said on social media that its initial investigation suggested that an attacker had compromised an engineer’s laptop, enabling unauthorized withdrawals. It said early Friday that the hack was more complex than that and involved “additional points of breach.”

“These funds go toward weapons proliferation and other destabilizing activity, which makes this a major national security issue, not just a crypto theft,” Ari Redbord, TRM’s global head of policy, said in an email.

 

Making Career Connections — from gettingsmart.com by Norton Gusky

For years I shouted out, “Make the Learning Real!” What I didn’t understand is how to make the learning real for students by connecting to careers. In this article I’ll highlight four organizations that I’ve had some connection to in the past three years –  Connect the Work by Educators Cooperative, the Consortium for Public Education, the Neighborhood Learning Alliance, and the Pittsburgh Technology Council. While each project is different, they all have had success making career connections for young people in K-12.

The key to success in each of the programs is giving students the opportunities from the earliest age possible to have a meaningful relationship with adults, especially people working in a variety of careers. Students need a variety of experiences and a common language  to uncover their strengths, interests and values. 

 

3 Habits Students Can Develop to Find Credible Online Resources — from edutopia.org by Michael Yell
As students become more acquainted with social media and AI, these habits can help them distinguish credible sources from misinformation.

1. Teaching Students to Ask, ‘Who’s Behind the Information?’
2. Teaching Students to Read Laterally on the Web, Not Vertically
3. Teaching Habits of Mind, Not Checklists
.


Also related/see:

Check out several resources from my sister, Sue Ellen Christian, a Professor of Communication at Western Michigan University:

  • Wonder Media: Ask the Questions
    This website is dedicated to helping you learn more about how to use the media for your purposes, and not to be used by media. The contents of the site are divided to facilitate selection of activities. For games, videos, quizzes, music and more focused on general media use, select from the Media Literacy Toolkit. For activities focused on information and news use, see the News Literacy Toolkit.
    .

 

 
 

‘The Encyclopedia of Movie Cats’ Is an Exhaustive Index of Every Feline to Prowl on Screen — from thisiscollossal.com by Grace Ebert
Released this month from A24, The Encyclopedia of Movie Catsis a playful, exhaustive compendium of the four-legged friends that have appeared in films throughout the ages.

 

EdTech’s Cybersecurity Reckoning — from onedtech.philhillaa.com by Phil Hill
The Canvas breach was an early marker of a new reality. PHP2Shell shows why EdTech’s move toward managed services will accelerate.

Higher education has a particularly large exposure because so much of its technology grew through local initiative: someone built a useful tool, installed an open-source application, or kept a departmental website running. That approach delivered considerable value and fit the education ethos, but it also distributed responsibility for maintaining and defending software across multiple teams and individuals with very different capabilities.

I believe we are entering a period that will significantly accelerate the move toward managed services, shared infrastructure, and restrictions on locally operated applications exposed to the public internet, particularly for under-resourced institutions. This reaches into budgets, institutional autonomy, and the ways educational technology gets built and delivered—well beyond the immediate work of a CIO responding to a security alert.

 

Are We Sending Young People False Signals About Their Futures? — from workshift.org by Emily M. Dickens and Elissa Salas

For years, we’ve told young people that training + credentials = opportunity. And for many pathways, that’s still true. But an AI-disrupted labor market is forcing us to be uncomfortably honest about what has always been a much more complicated equation.

Mixed Signals
Today’s young people need us to be able to say that we don’t fully know what the future of work looks like. Mixed signals abound. For example, at major tech companies, new graduate and entry-level hiring is down roughly 65% compared to 2019 pre-pandemic levels. So far in 2026, AI has been cited in more than 120K announced job cuts.

On the other hand, major companies including Google and CSX announced plans to hire to meet growth goals. Some of the fastest-growing occupations range across healthcare, skilled trades, and tech. In September, Business Roundtable’s CEO Economic Outlook Index showed a seven-point increase in hiring plans. The messages sent to young people are genuinely contradictory, and we need to help them cut through the noise.

Helping young people develop in this way will require smarter, stronger bridges between the systems that shape our workforce, such as better connecting K-12 classrooms to career pathways, aligning higher education institutions with the evolving job market, and ensuring untapped talent has access to in-demand employment opportunities. 

 

Episode 66: From Training Providers to System Shapers — from jessalmlie.com by Lavinia Mehedintu and Jess Almlie

Lavinia Mehedintu, founder of Offbeat and author of L&D Rewired, joins Jess to explore L&D’s shift from training providers to system shapers. They discuss how an organizational system shapes performance, and how L&D can influence those conditions. They also tackle the infamous request for L&D to “Create a learning culture.” What does that actually mean, and how can we examine the system to uncover what’s helping people learn and what’s getting in their way

Jess and Lavinia Discuss

  • What it means for L&D to think and work as system shapers.
  • Questions that uncover the real problem behind a training request.
  • How processes, tools, incentives, and feedback influence performance.
  • Ways to contribute when the solution falls outside L&D’s authority.
  • Using facilitation skills to help stakeholders work through business challenges.
  • Identifying what defines, enables, and blocks a learning culture.
  • Recognizing progress beyond positive training feedback.
  • Building courage and finding creative solutions in any system.
 

Beyond Click-Next: When, How & Why to Build Learning Games with AI — from drphilippahardman.substack.com by Dr. Philippa Hardman
Aka, how to innovate the learning experience & improve outcomes with game design

When L&D teams first started using AI regularly, the question I got asked most was: “How can I use AI to make more courses and more content, more quickly?” In 2026, content creation is still the number one use of AI in L&D (Taylor and Vinauskait?, 2026), but the questions L&D teams are asking are starting to change.

This year, in my day-to-day work and on my bootcamp, one question has come up more than any other: “How do I use AI to make the learning experience more dynamic, active and experiential?” Our focus is shifting from using AI to produce content to using AI to innovate the learner’s experience.

This seems to be part of a broader trend.

 
 

Geographic Wisdom in the Age of AI — from linkedin.com by Jason VanHorn

Yet capability and wisdom are not the same thing.
…

As AI capabilities continue to expand at astonishing rates, I’ve found myself wrestling with a question: What happens when capability grows faster than wisdom?

AI can help us determine what is possible. It cannot tell us what is wise. It can help us answer questions. It cannot tell us which questions are worth asking. It can help us produce outputs. It cannot tell us which outcomes are beneficial for individuals, communities, organizations, or society.

Those responsibilities remain ours.

That is why I believe the next great challenge for GIS professionals is not simply developing Spatial AI Literacy. We must also cultivate geographic wisdom in the age of AI.

Wisdom is the distinguishing characteristic that GIS needs in this changing world.

 

Proverbs 2:6

For the Lord gives wisdom;
from his mouth come knowledge and understanding.

Proverbs 6:16-19

16 There are six things the Lord hates,
seven that are detestable to him:
17 haughty eyes,
a lying tongue,
hands that shed innocent blood,
18 a heart that devises wicked schemes,
feet that are quick to rush into evil,
19 a false witness who pours out lies
and a person who stirs up conflict in the community.

Proverbs 4:23

Above all else, guard your heart,
for everything you do flows from it.

Psalm 19:14

May these words of my mouth and this meditation of my heart
be pleasing in your sight,
Lord, my Rock and my Redeemer.

 
© 2025 | Daniel Christian