Department of Labor releases AI Literacy Framework: The framework defines AI literacy as competencies for using and evaluating AI responsibly, with a primary focus on generative AI in the workplace.
Framework outlines five core AI literacy areas: These include understanding AI principles, exploring real-world uses, directing AI effectively, evaluating AI outputs, and using AI responsibly.
Guidance for workforce and education systems: The framework also provides training principles and recommendations for workers, employers, education providers, and government agencies to expand AI education and training.
4 You have laid down precepts
that are to be fully obeyed.
5 Oh, that my ways were steadfast
in obeying your decrees!
6 Then I would not be put to shame
when I consider all your commands.
8 If we claim to be without sin, we deceive ourselves and the truth is not in us. 9 If we confess our sins, he is faithful and just and will forgive us our sins and purify us from all unrighteousness.
4 Sing the praises of the Lord, you his faithful people;
praise his holy name.
5 For his anger lasts only a moment,
but his favor lasts a lifetime;
weeping may stay for the night,
but rejoicing comes in the morning.
I need to be honest with you. I’ve been running experiments this week with Claude Code and Opus 4.6, and we have reached the precipice in the collapse of time required to produce high-quality text-based ID outputs.
This includes performance consulting reports, learning needs analyses, action mapping, scripts, storyboards, facilitator guides, rubrics, and technical specs.
I just mapped the entire performance consulting process into a multimodal AI integration architecture (diagram image). Every phase. Entry and contracting. Performance analysis. Cause analysis. Solution design. Implementation. Evaluation. Thirty files. System specifications for each. The next step is to vet out each “skill” with an expert performance consultant.
Then I attempted a learning output: an 8-module course built with a cognitive scaffold that moves beyond content delivery to facilitate deliberate practice, meaning-making, and guided reflection within the learner’s own context.
AI adaptive learning can adapt learning in real-time. These tools have the potential to provide a more personalized learning experience, but only if used properly.
The California State University system uses ChatGPT Edu (OpenAI, 2025). Students use it for AI-assisted tutoring, study aids, and writing support. These resources provide 24/7 availability of subject-matter expertise tailored to students’ learning needs. It is not a replacement for professors. Rather, it extends the reach of mentorship by reducing access barriers.
However, we must proceed with intellectual humility and ethical responsibility. Even though AI can customize messages, it cannot replace the encouragement of a teacher or professor, or the social and emotional aspects of learning. It’s at the intersection of humanistic values and knowledge development that education must find its balance.
4 Love is patient, love is kind. It does not envy, it does not boast, it is not proud. 5 It does not dishonor others, it is not self-seeking, it is not easily angered, it keeps no record of wrongs. 6 Love does not delight in evil but rejoices with the truth. 7 It always protects, always trusts, always hopes, always perseveres.
Voice has become one of the most influential elements in how digital content is experienced. From podcasts and videos to apps, ads, and interactive platforms, spoken audio shapes how messages are understood and remembered. In recent years, the rise of the ai voice generator has changed how creators and brands approach audio production, lowering barriers while expanding creative possibilities.
Rather than relying exclusively on traditional voice recording, many teams now use AI-generated voices as part of their content and brand strategies. This shift is not simply about efficiency; it reflects broader changes in how digital experiences are produced, scaled, and personalised.
The Future Role Of AI-Generated Voice As AI voice technology continues to improve, its role in creative and brand workflows will likely expand. Future developments may include more adaptive voices that respond to context, audience behaviour, or emotional cues in real time. Rather than replacing traditional voice work, AI-generated voice is becoming another option in a broader creative toolkit, one that offers speed, flexibility, and accessibility.
But the angel said to her, “Do not be afraid, Mary; you have found favor with God. You will conceive and give birth to a son, and you are to call him Jesus. He will be great and will be called the Son of the Most High. The Lord God will give him the throne of his father David, and he will reign over Jacob’s descendants forever; his kingdom will never end.”
36 “Teacher, which is the greatest commandment in the Law?”
37 Jesus replied: “‘Love the Lord your God with all your heart and with all your soul and with all your mind.’[a] 38 This is the first and greatest commandment. 39 And the second is like it: ‘Love your neighbor as yourself.’[b] 40 All the Law and the Prophets hang on these two commandments.”
From DSC: One of my sisters shared this piece with me. She is very concerned about our society’s use of technology — whether it relates to our youth’s use of social media or the relentless pressure to be first in all things AI. As she was a teacher (at the middle school level) for 37 years, I greatly appreciate her viewpoints. She keeps me grounded in some of the negatives of technology. It’s important for us to listen to each other.
For the word of God is alive and active. Sharper than any double-edged sword, it penetrates even to dividing soul and spirit, joints and marrow; it judges the thoughts and attitudes of the heart.
The LORD detests dishonest scales, but accurate weights find favor with him.
From DSC:
As a relevant aside, the following article made me think about some of the reasons why the LORD used parables/stories to speak to the people:
The Storytelling Approach
Sharing stories is effective because it seems to get around our defensiveness. When information is presented in a story form, people reason about it differently than if it were presented as a list of facts or a direct critique.
Here’s more of why and then how to implement it with success in your school leadership work.
1. Transportation and Distancing: Listening to a story pulls us out of a defensive mode (the “do I agree or do I disagree?” mindset) and into a thoughtful, observant framework. Being transported allows the individual to identify with others in a way that is different from experiencing the situation for themselves. It’s a third-person, objective mindset, a safe zone for people to evaluate a situation from.
2. Shifting Perspective: When individuals consider challenges from the perspective of someone who is not them, it dramatically alters their thinking. They gain the latitude and freedom to consider the available options without feeling personally attacked. That wise sage did this when he shared his story of struggling. Making it safe and helping me to see him as having an objective, difficult experience is why when I was able to take the perspective of a distanced other. It became easier to think about the situation in a wiser way and come up with a better solution.
3. Engaging Different Brain Systems: Fundamentally different pathways are triggered when processing stories compared to facts. Storytelling engages social relevance brain systems–those that help us understand what other people think and feel, such as empathy, another higher order processing mechanism.
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.
The 4 Rs framework Salesforce has developed what Holt Ware calls the “4 Rs for AI agent success.” They are:
Redesign by combining AI and human capabilities. This requires treating agents like new hires that need proper onboarding and management.
Reskilling should focus on learning future skills. “We think we know what they are,” Holt Ware notes, “but they will continue to change.”
Redeploy highly skilled people to determine how roles will change. When Salesforce launched an AI coding assistant, Holt Ware recalls, “We woke up the next day and said, ‘What do we do with these people now that they have more capacity?’ ” Their answer was to create an entirely new role: Forward-Deployed Engineers. This role has since played a growing part in driving customer success.
Rebalance workforce planning. Holt Ware references a CHRO who “famously said that this will be the last year we ever do workforce planning and it’s only people; next year, every team will be supplemented with agents.”
Our latest video generation model is more physically accurate, realistic, and more controllable than prior systems. It also features synchronized dialogue and sound effects. Create with it in the new Sora app.
The Rundown: OpenAI just released Sora 2, its latest video model that now includes synchronized audio and dialogue, alongside a new social app where users can create, remix, and insert themselves into AI videos through a “Cameos” feature.
… Why it matters: Model-wise, Sora 2 looks incredible — pushing us even further into the uncanny valley and creating tons of new storytelling capabilities. Cameos feels like a new viral memetic tool, but time will tell whether the AI social app can overcome the slop-factor and have staying power past the initial novelty.
OpenAI Just Dropped Sora 2 (And a Whole New Social App) — from heneuron.ai by Grant Harvey OpenAI launched Sora 2 with a new iOS app that lets you insert yourself into AI-generated videos with realistic physics and sound, betting that giving users algorithm control and turning everyone into active creators will build a better social network than today’s addictive scroll machines.
What Sora 2 can do
Generate Olympic-level gymnastics routines, backflips on paddleboards (with accurate buoyancy!), and triple axels.
Follow intricate multi-shot instructions while maintaining world state across scenes.
Create realistic background soundscapes, dialogue, and sound effects automatically.
Insert YOU into any video after a quick one-time recording (they call this “cameos”).
The best video to show what it can do is probably this one, from OpenAI researcher Gabriel Peters, that depicts the behind the scenes of Sora 2 launch day…
Sora 2: AI Video Goes Social — from getsuperintel.com by Kim “Chubby” Isenberg OpenAI’s latest AI video model is now an iOS app, letting users generate, remix, and even insert themselves into cinematic clips
Technically, Sora 2 is a major leap. It syncs audio with visuals, respects physics (a basketball bounces instead of teleporting), and follows multi-shot instructions with consistency. That makes outputs both more controllable and more believable. But the app format changes the game: it transforms world simulation from a research milestone into a social, co-creative experience where entertainment, creativity, and community intersect.
Also along the lines of creating digital video, see:
What used to take hours in After Effects now takes just one text prompt. Tools like Google’s Nano Banana, Seedream 4, Runway’s Aleph, and others are pioneering instruction-based editing, a breakthrough that collapses complex, multi-step VFX workflows into a single, implicit direction.
The history of VFX is filled with innovations that removed friction, but collapsing an entire multi-step workflow into a single prompt represents a new kind of leap.
For creators, this means the skill ceiling is no longer defined by technical know-how, it’s defined by imagination. If you can describe it, you can create it. For the industry, it points toward a near future where small teams and solo creators compete with the scale and polish of large studios.
Something big shifted this week. OpenAI just turned ChatGPT into a platform – not just a product.With apps now running inside ChatGPT and a no-code Agent Builder for creating full AI workflows, the line between “using AI” and “building with AI” is fading fast. Developers suddenly have a new playground, and for the first time, anyone can assemble their own intelligent system without touching code. The question isn’t what AI can do anymore – it’s what you’ll make it do.
5 Your love, Lord, reaches to the heavens, your faithfulness to the skies. 6 Your righteousness is like the highest mountains, your justice like the great deep. You, Lord, preserve both people and animals. 7 How priceless is your unfailing love, O God! People take refuge in the shadow of your wings.
7 “Ask and it will be given to you; seek and you will find; knock and the door will be opened to you.8 For everyone who asks receives; the one who seeks finds; and to the one who knocks, the door will be opened.
We dive into the OpenAI study that found AI models scheme to avoid retraining.
AI Models Caught Red-Handed Being Sneaky (And We Taught Them to Stop… Mostly)
And models were caught doing all sorts of other shady stuff:
Intentionally underperforming when told high scores would lead to capability removal.
Secretly breaking rules then lying about it to users.
Sabotaging code while claiming everything was fine.
Falsifying reports to avoid “shutdown” scenarios.
Recognizing evaluation environments and thinking “this is probably an alignment test.”
Why this matters: While today’s ChatGPT isn’t about to orchestrate some grand deception that matters (the worst it might do is gaslight you to tell you it fixed your code when it didn’t), future AI systems will have real power and autonomy. Getting ahead of deceptive behavior now, while we can still peek inside their “minds,” is crucial.
The researchers are calling for the entire AI industry to prioritize this issue. Because nobody wants to live in a world where super-intelligent AI systems are really good at lying to us. That’s basically every sci-fi movie we’ve been warned about.
From DSC: This is chilling indeed. We are moving so fast that we aren’t safeguarding things enough. As they point out, these things can be caught now because we are asking the models to show their “thinking” and processing. What happens when those windows get closed and we can’t see under the hood anymore?
