GenAI practice blossoms through the open exchange of insights — from timeshighereducation.com by Samuel Doherty, who is the education and innovation coordinator at the University of Newcastle in Australia
How a structured GenAI professional development series, built around practice, peer voices and multiple entry points, fosters open exchange among colleagues, universities and industry

Connect internal practice to sector-wide thinking
Whatever is happening within any single institution is only part of the picture. Effective GenAI practice grows through open exchange of insights among colleagues, universities, professional bodies and industry, and a development programme that is entirely inward-looking risks missing both useful knowledge and important shifts in expectation.

Our AI sector voices sessions aim to bring external contributors into the programme: researchers, practitioners and sector representatives working at the intersection of GenAI and higher education. The aim is to situate institutional practice within the wider conversation and to signal to staff that the institution is genuinely engaged with that conversation, not just managing it internally.

In the Australian context, the Tertiary Education Quality and Standards Agency (Teqsa) people pillar positions staff as drivers, enablers, users and innovators of GenAI practice, and identifies a lack of information or understanding as one of the primary barriers to ethical and effective engagement. That framing is useful regardless of regulatory context: institutions that treat their people as active participants in shaping practice, rather than recipients of policy, are likely to develop more durable capability.

Regular, lightweight communications, a weekly community of practice update and a monthly all-staff digest can maintain momentum between sessions without adding significantly to anyone’s workload. 

 
 

“The sad fact is that we don’t teach learners how to be good at learning. Whether K12, higher ed, or organizations, it’s just not there.”

 

from Clark Quinn’s posting entitled, Thoughts on meta-coaching!

 

From DSC:
I agree. We could do a much better job at this.

 

A New Era of Security: Frontier AI Defense — from paloaltonetworks.com by Sam Rubin

For the last several months, we have had early, unbounded access to the latest frontier AI models. What we’ve seen from that vantage point has made it clear that the window for organizations to get ahead of what’s coming is shorter than most leaders realize.

We have moved past the era of incremental AI improvements into a threat landscape shift. Our testing has revealed a step-change in capability that demonstrates an intuitive understanding of software vulnerabilities. This is more than faster code generation, it is a shift from AI as an assistant to AI as an autonomous agent capable of discovering and chaining flaws at a scale that most defenders aren’t prepared for.

These capabilities will not stay confined to controlled environments for long. When Mythos first launched, we predicted a six-month window before attackers gained access. We now believe that timeline has accelerated significantly.

 

 

Across the divide: reimagining faculty-staff collaboration in higher education — from timeshighereducation.com by Saskia van de Gevel
Academic units do best when they harness different viewpoints – from field scientists and curriculum designers to extension professionals – to drive innovation and relevance. Saskia van de Gevel offers proactive advice

Universities are not sustained by individual leaders or isolated units. They are sustained by teams of people who bring different kinds of expertise to a shared mission. When faculty and professional staff collaborate as genuine partners – aligned around outcomes, clear about roles and committed to mutual respect – institutions become more resilient, innovative and effective.

Also from timeshighereducation.com, see:

Again, we don’t send them 200 CVs. We might send 20, but they’re meticulously shortlisted. The employer saves time, the student feels they are being taken seriously and trust builds quickly on both sides.

And because we work closely with employers, we learn something universities often struggle to find out early enough: what the market is asking for now.

What academics need to know: we can’t do this without you
If I could say one thing to academic colleagues anywhere, it’s that employability can’t sit next to the curriculum. It has to live with it.

 

Dueling Hares and Leaping Toads Top the 2026 British Wildlife Photography Awards — from thisiscolossal.com by Kate Mothes & various photographers


Also see:

Spectral Birds Endemic to New Zealand Find New Life in Fiona Pardington’s Portraits — from thisiscolossal.com by Kate Mothes and Fiona Pardington

 
 
 

AI working competency is now a graduation requirement at Purdue [Pacton] + other items re: AI in our learning ecosystems


AI Has Landed in Education: Now What? — from learningfuturesdigest.substack.com by Dr. Philippa Hardman

Here’s what’s shaped the AI-education landscape in the last month:

  • The AI Speed Trap is [still] here: AI adoption in L&D is basically won (87%)—but it’s being used to ship faster, not learn better (84% prioritising speed), scaling “more of the same” at pace.
  • AI tutors risk a “pedagogy of passivity”: emerging evidence suggests tutoring bots can reduce cognitive friction and pull learners down the ICAP spectrum—away from interactive/constructive learning toward efficient consumption.
  • Singapore + India are building what the West lacks: they’re treating AI as national learning infrastructure—for resilience (Singapore) and access + language inclusion (India)—while Western systems remain fragmented and reactive.
  • Agentic AI is the next pivot: early signs show a shift from AI as a content engine to AI as a learning partner—with UConn using agents to remove barriers so learners can participate more fully in shared learning.
  • Moodle’s AI stance sends two big signals: the traditional learning ecosystem in fragmenting, and the concept of “user sovereignty” over by AI is emerging.

Four strategies for implementing custom AIs that help students learn, not outsource — from educational-innovation.sydney.edu.au by Kria Coleman, Matthew Clemson, Laura Crocco and Samantha Clarke; via Derek Bruff

For Cogniti to be taken seriously, it needs to be woven into the structure of your unit and its delivery, both in class and on Canvas, rather than left on the side. This article shares practical strategies for implementing Cogniti in your teaching so that students:

  • understand the context and purpose of the agent,
  • know how to interact with it effectively,
  • perceive its value as a learning tool over any other available AI chatbots, and
  • engage in reflection and feedback.

In this post, we discuss how to introduce and integrate Cogniti agents into the learning environment so students understand their context, interact effectively, and see their value as customised learning companions.

In this post, we share four strategies to help introduce and integrate Cogniti in your teaching so that students understand their context, interact effectively, and see their value as customised learning companions.


Collection: Teaching with Custom AI Chatbots — from teaching.virginia.edu; via Derek Bruff
The default behaviors of popular AI chatbots don’t always align with our teaching goals. This collection explores approaches to designing AI chatbots for particular pedagogical purposes.

Example/excerpt:



 

7 Legal Tech Trends That Will Reshape Every Business In 2026 — from forbes.com by Bernard Marr

Here are the trends that will matter most.

  1. AI Agents As Legal Assistants
  2. AI As A Driver Of Business Strategy
  3. Automation In Judicial Administration
  4. Always-On Compliance Monitoring
  5. Cybersecurity As An Essential Survival Tool
  6. Predictive Litigation
  7. Compliance As Part Of The Everyday Automation Fabric

According to the Thomson Reuters Future Of Professionals report, most experts already expect AI to transform their work within five years, with many viewing it as a positive force. The challenge now is clear: legal and compliance leaders must understand the tools reshaping their field and prepare their teams for a very different way of working in 2026.


Addendum on 12/17/25:

 

2. Concern and excitement about AI — from pewresearch.org by Jacob Poushter,Moira Faganand Manolo Corichi

Key findings

  • A median of 34% of adults across 25 countries are more concerned than excited about the increased use of artificial intelligence in daily life. A median of 42% are equally concerned and excited, and 16% are more excited than concerned.
  • Older adults, women, people with less education and those who use the internet less often are particularly likely to be more concerned than excited.

Also relevant here:


AI Video Wars include Veo 3.1, Sora 2, Ray3, Kling 2.5 + Wan 2.5 — from heatherbcooper.substack.com by Heather Cooper
House of David Season 2 is here!

In today’s edition:

  • Veo 3.1 brings richer audio and object-level editing to Google Flow
  • Sora 2 is here with Cameo self-insertion and collaborative Remix features
  • Ray3 brings world-first reasoning and HDR to video generation
  • Kling 2.5 Turbo delivers faster, cheaper, more consistent results
  • WAN 2.5 revolutionizes talking head creation with perfect audio sync
  • House of David Season 2 Trailer
  • HeyGen Agent, Hailuo Agent, Topaz Astra, and Lovable Cloud updates
  • Image & Video Prompts

From DSC:
By the way, the House of David (which Heather referred to) is very well done! I enjoyed watching Season 1. Like The Chosen, it brings the Bible to life in excellent, impactful ways! Both series convey the context and cultural tensions at the time. Both series are an answer to prayer for me and many others — as they are professionally-done. Both series match anything that comes out of Hollywood in terms of the acting, script writing, music, the sets, etc.  Both are very well done.
.


An item re: Sora:


Other items re: Open AI’s new Atlas browser:

Introducing ChatGPT Atlas — from openai.com
The browser with ChatGPT built in.

[On 10/21/25] we’re introducing ChatGPT Atlas, a new web browser built with ChatGPT at its core.

AI gives us a rare moment to rethink what it means to use the web. Last year, we added search in ChatGPT so you could instantly find timely information from across the internet—and it quickly became one of our most-used features. But your browser is where all of your work, tools, and context come together. A browser built with ChatGPT takes us closer to a true super-assistant that understands your world and helps you achieve your goals.

With Atlas, ChatGPT can come with you anywhere across the web—helping you in the window right where you are, understanding what you’re trying to do, and completing tasks for you, all without copying and pasting or leaving the page. Your ChatGPT memory is built in, so conversations can draw on past chats and details to help you get new things done.

ChatGPT Atlas: the AI browser test — from getsuperintel.com by Kim “Chubby” Isenberg
Chat GPT Atlas aims to transform web browsing into a conversational, AI-native experience, but early reviews are mixed

OpenAI’s new ChatGPT Atlas promises to merge web browsing, search, and automation into a single interface — an “AI-native browser” meant to make the web conversational. After testing it myself, though, I’m still trying to see the real breakthrough. It feels familiar: summaries, follow-ups, and even the Agent’s task handling all mirror what I already do inside ChatGPT.

OpenAI’s new Atlas browser remembers everything — from theneurondaily.com by Grant Harvey
PLUS: Our AIs are getting brain rot?!

Here’s how it works: Atlas can see what you’re looking at on any webpage and instantly help without you needing to copy/paste or switch tabs. Researching hotels? Ask ChatGPT to compare prices right there. Reading a dense article? Get a summary on the spot. The AI lives in the browser itself.

OpenAI’s new product — from bensbites.com

The latest entry in AI browsers is Atlas – A new browser from OpenAI. Atlas would feel similar to Dia or Comet if you’ve used them. It has an “Ask ChatGPT” sidebar that has the context of your page, and choose “Agent” to work on that tab. Right now, Agent is limited to a single tab, and it is way too slow to delegate anything for real to it. Click accuracy for Agent is alright on normal web pages, but it will definitely trip up if you ask it to use something like Google Sheets.

One ambient feature that I think many people will like is “select to rewrite” – You can select any text in Atlas, hover/click on the blue dot in the top right corner to rewrite it using AI.


Your AI Resume Hacks Probably Won’t Fool Hiring Algorithms — from builtin.com by Jeff Rumage
Recruiters say those viral hidden prompt for resumes don’t work — and might cost you interviews.

Summary: Job seekers are using “prompt hacking” — embedding hidden AI commands in white font on resumes — to try to trick applicant tracking systems. While some report success, recruiters warn the tactic could backfire and eliminate the candidate from consideration.


The Job Market Might Be a Mess, But Don’t Blame AI Just Yet — from builtin.com by Matthew Urwin
A new study by Yale University and the Brookings Institution says the panic around artificial intelligence stealing jobs is overblown. But that might not be the case for long.

Summary: A Yale and Brookings study finds generative AI has had little impact on U.S. jobs so far, with tariffs, immigration policies and the number of college grads potentially playing a larger role. Still, AI could disrupt the workforce in the not-so-distant future.


 

International AI Safety Report — from internationalaisafetyreport.org

About the International AI Safety Report
The International AI Safety Report is the world’s first comprehensive review of the latest science on the capabilities and risks of general-purpose AI systems. Written by over 100 independent experts and led by Turing Award winner Yoshua Bengio, it represents the largest international collaboration on AI safety research to date. The Report gives decision-makers a shared global picture of AI’s risks and impacts, serving as the authoritative reference for governments and organisations developing AI policies worldwide. It is already shaping debates and informing evidence-based decisions across research and policy communities.

 

3 Work Trends – Issue 87 — from the World Economic Forum

1. #AI adoption is delivering real results for early movers
Three years into the generative AI revolution, a small but growing group of global companies is demonstrating the tangible potential of AI. Among firms with revenues of $1 billion or more:

  • 17% report cost savings or revenue growth of at least 10% from AI.
  • Almost 80% say their AI investments have met or exceeded expectations.
  • Half worry they are not moving fast enough and could fall behind competitors.

The world’s first AI cabinet member — from therundown.ai by Zach Mink, Rowan Cheung, Shubham Sharma, Joey Liu & Jennifer Mossalgue
PLUS: Startup produces 3,000 AI podcast episodes weekly

The details:

  • Prime Minister Edi Rama unveiled Diella during a cabinet announcement this week, calling her the first member “virtually created by artificial intelligence”.
  • The AI avatar will evaluate and award all public tenders where the government contracts private firms.
  • Diella already serves citizens through Albania’s digital services portal, processing bureaucratic requests via voice commands.
  • Rama claims the AI will eliminate bribes and threats from decision-making, though the government hasn’t detailed what human oversight will exist.

The Rundown AI’s article links to:


Anthropic Economic Index report: Uneven geographic and enterprise AI adoption — from anthropic.com

In other words, a hallmark of early technological adoption is that it is concentrated—in both a small number of geographic regions and a small number of tasks in firms. As we document in this report, AI adoption appears to be following a similar pattern in the 21st century, albeit on shorter timelines and with greater intensity than the diffusion of technologies in the 20th century.

To study such patterns of early AI adoption, we extend the Anthropic Economic Index along two important dimensions, introducing a geographic analysis of Claude.ai conversations and a first-of-its-kind examination of enterprise API use. We show how Claude usage has evolved over time, how adoption patterns differ across regions, and—for the first time—how firms are deploying frontier AI to solve business problems.


How human-centric AI can shape the future of work — from weforum.org by Sapthagiri Chapalapalli

  • Last year, use of AI in the workplace increased by 5.5% in Europe alone.
  • AI adoption is accelerating, but success depends on empowering people, not just deploying technology.
  • Redesigning roles and workflows to combine human creativity and critical thinking with AI-driven insights is key.

The transformative potential of AI on business

Organizations are having to rapidly adapt their business models. Image: TCS


Using ChatGPT to get a job — from linkedin.com by Ishika Rawat

 

Artificial Intelligence in Vocational Education — from leonfurze.com by Leon Furze

The vocational education sector is incredibly diverse, covering everything from trades like building and construction, electrical, plumbing and automotive through to allied health, childcare, education, the creative arts and the technology industry. In Canberra, we heard from people representing every corner of the industry, including education, retail, tourism, finance and digital technologies. Every one of these industries is being impacted by the current AI boom.

A theme of the day was that whilst the vocational education sector is seen as a slow-moving beast with its own peculiar red tape, it is still possible to respond to emerging technologies like artificial intelligence, and there’s an imperative to do so.

Coming back to GenAI for small business owners, a qualified plumber running their own business, either as a solo operator or as manager of a team, probably doesn’t have many opportunities to keep up to date with the rapid developments of digital technologies. They’re far too busy doing their job.

So vocational education and training can be an initial space to develop some skills and understanding of the technology in a way which can be beneficial for managing that day-to-day job.


And speaking of the trade schools/vocational world…

Social media opens a window to traditional trades for young workers — from washingtonpost.com by Taylor Telford; this is a gifted article
Worker influencers are showing what life is like in fields such as construction, plumbing and manufacturing. Trade schools are trying to make the most of it.

Social media is increasingly becoming a destination for a new generation to learn about skilled trades — at a time when many have grown skeptical about the cost of college and the promise of white-collar jobs. These posts offer authentic insight as workers talk openly about everything from their favorite workwear to safety and payday routines.

The exposure is also changing the game for trade schools and employers in such industries as manufacturing and construction, which have long struggled to attract workers. Now, some are evolving their recruiting tactics by wading into content creation after decades of relying largely on word of mouth.

 

Fresh Voices on Legal Tech with Mathew Kerbis — from legaltalknetwork.com by Mathew Kerbis, Dennis Kennedy, and Tom Mighell

New approaches to legal service delivery are propelling us into the future. Don’t get left behind! AI and automations are making alternative service delivery easier and more efficient than ever. Dennis & Tom welcome Mathew Kerbis to learn more about his expertise in subscription-based legal services.


The Business Case For Legal Tech — from lexology.com

What a strong business case includes
A credible business case has three core elements: a clear problem statement, a defined solution, and a robust analysis of expected impact. It should also demonstrate that legal has done its homework and thought beyond implementation.

  1. Problem definition
  2. Current state analysis
  3. Solution overview
  4. Impact assessment
  5. Implementation plan
  6. Cost summary and ROI
  7. Strategic alignment

How AI is Revolutionizing Legal Technology in 2025 — from itmunch.com by Gaurav Uttamchandani

Table of Contents

  • What is AI in Legal Technology?
  • Key Use Cases of AI in the Legal Industry
    • 1. Contract Review & Management
    • 2. Legal Research & Case Analysis
    • 3. Litigation Prediction & Risk Assessment
    • 4. E-Discovery
    • 5. Legal Chatbots & Virtual Assistants
  • Benefits of AI in Legal Tech
  • Real-World Example: AI in Action
  • Implementing AI in Your Law Firm: Step-by-Step
  • Addressing Concerns Around AI in Law
  • LegalTech Trends to Watch in 2025
  • Final Thoughts
  • Call-to-Action (CTA)

 
© 2025 | Daniel Christian